Subject motion is a major challenge in functional magnetic resonance imaging studies (fMRI) of the fetal brain and placenta during maternal hyperoxia. We propose a motion correction and volume outlier rejection method for the correction of severe motion artifacts in both fetal brain and placenta. The method is optimized to the experimental design by processing different phases of acquisition separately. It also automatically excludes high-motion volumes and all the missing data are regressed from ROI-averaged signals. The results demonstrate that the proposed method is effective in enhancing motion correction in fetal fMRI without large data loss, compared to traditional motion correction methods.
Classification of Eye Movements Using Electrooculography and Neural NetworksWaqas Tariq
Electrooculography is a technique for measuring the cornea-retinal potential produced by eye movements. This paper proposes algorithms for classifying eleven eye movements acquired through electrooculography using dynamic neural networks. Signal processing techniques and time delay neural network are used to process the raw signals to identify the eye movements. Simple feature extraction algorithms are proposed using the Parseval and Plancherel theorems. The performances of the classifiers are compared with a feed forward network, which is encouraging with an average classification accuracy of 91.40% and 90.89% for time delay neural network using the Parseval and Plancherel features.
This document summarizes considerations for intraocular lens (IOL) power calculation in children. It discusses that children's eyes continue growing post-surgery, unlike adult eyes. This growth normally leads to increasing myopia. Studies show a myopic shift of several diopters on average after IOL implantation in young children, with the greatest shifts in infants. There is no consensus on the ideal postoperative refractive goal in children, though many surgeons aim for hyperopia in younger children and emmetropia or mild myopia in older children.
Functional Ultrasound (fUS) Imaging in the Brain of Awake Behaving MiceInsideScientific
To watch the webinar, visit:
https://insidescientific.com/webinar/functional-ultrasound-imaging-brain-awake-behaving-mice-neurotar-iconeus
Functional ultrasound (fUS) imaging is a new kid on the block in neuroimaging. It combines high spaciotemporal resolution with deep tissue penetration, which enables non-invasive whole-brain imaging in mice.
This exciting new technology complements and extends classical imaging modalities: it enables more straightforward, unobstructed and non-invasive functional measurements in mouse models of CNS diseases. Sensitive to changes in cerebral blood volume, fUS imaging is used to characterize brain networks with functional connectivity analysis and to measure the responses to sensory stimuli and pharmacological challenges.
fUS imaging performed in the brain of awake mice removes the biases and artifacts associated with the use of general anesthesia, which is no longer a “necessary evil” of translational imaging. Besides that: fUS imaging in awake mice allows integrating functional imaging with behavioral readouts starting from open field locomotion tracking to maze navigation and sociability studies.
In this webinar, you will learn:
– Functional ultrasound (fUS) imaging methodology
– How translational fUS neuroimaging helps to advance basic neuroscience research and preclinical drug discovery
– The main advantages and limitations of using functional ultrasound compared to other techniques such as BOLD fMRI
– The benefits of imaging in awake, head-restrained but otherwise freely moving mice
– Imaging functional activation, connectivity and pharmacologically-induced changes in awake and behaving mice
– How to combine fUS imaging with behavioral observation
Flipping the clinic: in home health monitoring using mobile phonesEric Larson
This document discusses the potential for mobile phones to be used for remote health monitoring and disease management. It describes several ongoing research projects using phones to measure lung function, detect jaundice in newborns, and potentially monitor other vital signs. For lung function, algorithms are being developed to estimate measurements like FEV1 and FVC using only a phone's microphone. Early studies show results correlate well with clinical spirometers. For jaundice, a camera-based method estimates bilirubin levels in newborns with 85% accuracy compared to blood tests. Future work aims to expand monitoring to conditions like cervical cancer screening and measuring blood pressure. Overall, the document outlines the promise of mobile health technologies to improve access
This webinar is part of a 2-hour monthly series hosted by the Neurotechnology Innovation Network: https://ktn-uk.org/health/neurotechnology/
Each webinar features expert speakers and focusses on a new development in a different technology area.
The third topic in this series is Dementia treatment using a biodesign approach. Dementia can have enormous effects, not only to those suffering but also family members and others
caring for them, but there are currently no effective therapies available. Neurotechnology offers a new way of treating dementia.
There is growing evidence that technologies such as deep brain stimulation and transcranial magnetic stimulation could help treat some of the effects of dementia and brain-computer interfaces are now able to detect the first signs of dementia years before symptoms appear.
In collaboration with UK Dementia Research Institute this webinar explores novel neurotechnologies to treat dementia, discuss barriers to adoption and new opportunities in the field.
Dr. Cristina Hickman is a clinical embryology consultant who has been invited to present at various commercially sponsored meetings and consult with several IVF suppliers. She declares no conflicts of interest regarding this presentation. The presentation discusses ways to improve various aspects of IVF, including success rates, efficiency and cost, selection and diagnosis of sperm/oocytes/embryos, and patient-clinic interaction. Artificial intelligence and automation are presented as ways to improve embryo selection and assessment in a more consistent, objective and reproducible manner compared to current practices. This could enhance IVF efficacy and potentially reduce costs.
Exploring statistical approaches to Auditory Brainstem Response testingMohammad B S Khan
This document summarizes a dissertation exploring statistical approaches to auditory brainstem response (ABR) testing. It begins by introducing ABRs and their current subjective interpretation method. It then discusses the need for objective statistical measures and compares experts' interpretations of ABR waveforms to measure variability. Two objective parameters, Fsp and Autratio, are evaluated using experts' interpretations as the gold standard. Simulated data is also analyzed to propose critical values for the parameters. The dissertation finds high variability between experts and that objective parameters show potential but still have limitations. It concludes by recommending the proposed critical values be explored further to address limitations and improve ABR interpretation objectivity.
Classification of Eye Movements Using Electrooculography and Neural NetworksWaqas Tariq
Electrooculography is a technique for measuring the cornea-retinal potential produced by eye movements. This paper proposes algorithms for classifying eleven eye movements acquired through electrooculography using dynamic neural networks. Signal processing techniques and time delay neural network are used to process the raw signals to identify the eye movements. Simple feature extraction algorithms are proposed using the Parseval and Plancherel theorems. The performances of the classifiers are compared with a feed forward network, which is encouraging with an average classification accuracy of 91.40% and 90.89% for time delay neural network using the Parseval and Plancherel features.
This document summarizes considerations for intraocular lens (IOL) power calculation in children. It discusses that children's eyes continue growing post-surgery, unlike adult eyes. This growth normally leads to increasing myopia. Studies show a myopic shift of several diopters on average after IOL implantation in young children, with the greatest shifts in infants. There is no consensus on the ideal postoperative refractive goal in children, though many surgeons aim for hyperopia in younger children and emmetropia or mild myopia in older children.
Functional Ultrasound (fUS) Imaging in the Brain of Awake Behaving MiceInsideScientific
To watch the webinar, visit:
https://insidescientific.com/webinar/functional-ultrasound-imaging-brain-awake-behaving-mice-neurotar-iconeus
Functional ultrasound (fUS) imaging is a new kid on the block in neuroimaging. It combines high spaciotemporal resolution with deep tissue penetration, which enables non-invasive whole-brain imaging in mice.
This exciting new technology complements and extends classical imaging modalities: it enables more straightforward, unobstructed and non-invasive functional measurements in mouse models of CNS diseases. Sensitive to changes in cerebral blood volume, fUS imaging is used to characterize brain networks with functional connectivity analysis and to measure the responses to sensory stimuli and pharmacological challenges.
fUS imaging performed in the brain of awake mice removes the biases and artifacts associated with the use of general anesthesia, which is no longer a “necessary evil” of translational imaging. Besides that: fUS imaging in awake mice allows integrating functional imaging with behavioral readouts starting from open field locomotion tracking to maze navigation and sociability studies.
In this webinar, you will learn:
– Functional ultrasound (fUS) imaging methodology
– How translational fUS neuroimaging helps to advance basic neuroscience research and preclinical drug discovery
– The main advantages and limitations of using functional ultrasound compared to other techniques such as BOLD fMRI
– The benefits of imaging in awake, head-restrained but otherwise freely moving mice
– Imaging functional activation, connectivity and pharmacologically-induced changes in awake and behaving mice
– How to combine fUS imaging with behavioral observation
Flipping the clinic: in home health monitoring using mobile phonesEric Larson
This document discusses the potential for mobile phones to be used for remote health monitoring and disease management. It describes several ongoing research projects using phones to measure lung function, detect jaundice in newborns, and potentially monitor other vital signs. For lung function, algorithms are being developed to estimate measurements like FEV1 and FVC using only a phone's microphone. Early studies show results correlate well with clinical spirometers. For jaundice, a camera-based method estimates bilirubin levels in newborns with 85% accuracy compared to blood tests. Future work aims to expand monitoring to conditions like cervical cancer screening and measuring blood pressure. Overall, the document outlines the promise of mobile health technologies to improve access
This webinar is part of a 2-hour monthly series hosted by the Neurotechnology Innovation Network: https://ktn-uk.org/health/neurotechnology/
Each webinar features expert speakers and focusses on a new development in a different technology area.
The third topic in this series is Dementia treatment using a biodesign approach. Dementia can have enormous effects, not only to those suffering but also family members and others
caring for them, but there are currently no effective therapies available. Neurotechnology offers a new way of treating dementia.
There is growing evidence that technologies such as deep brain stimulation and transcranial magnetic stimulation could help treat some of the effects of dementia and brain-computer interfaces are now able to detect the first signs of dementia years before symptoms appear.
In collaboration with UK Dementia Research Institute this webinar explores novel neurotechnologies to treat dementia, discuss barriers to adoption and new opportunities in the field.
Dr. Cristina Hickman is a clinical embryology consultant who has been invited to present at various commercially sponsored meetings and consult with several IVF suppliers. She declares no conflicts of interest regarding this presentation. The presentation discusses ways to improve various aspects of IVF, including success rates, efficiency and cost, selection and diagnosis of sperm/oocytes/embryos, and patient-clinic interaction. Artificial intelligence and automation are presented as ways to improve embryo selection and assessment in a more consistent, objective and reproducible manner compared to current practices. This could enhance IVF efficacy and potentially reduce costs.
Exploring statistical approaches to Auditory Brainstem Response testingMohammad B S Khan
This document summarizes a dissertation exploring statistical approaches to auditory brainstem response (ABR) testing. It begins by introducing ABRs and their current subjective interpretation method. It then discusses the need for objective statistical measures and compares experts' interpretations of ABR waveforms to measure variability. Two objective parameters, Fsp and Autratio, are evaluated using experts' interpretations as the gold standard. Simulated data is also analyzed to propose critical values for the parameters. The dissertation finds high variability between experts and that objective parameters show potential but still have limitations. It concludes by recommending the proposed critical values be explored further to address limitations and improve ABR interpretation objectivity.
This Journal Club presentation provides a summary and discussion of the following free access article published in UOG:
Intra- and interoperator reliability of manual and semi-automated measurements of intracranial translucency.
K. Karl, K.O Kagan, R. Chaoui
Volume 39, Issue 2, Date: February 2012, pages 164-168
This can be accessed here: http://onlinelibrary.wiley.com/doi/10.1002/uog.10137/abstract
Fluorescence in vivo Endomicroscopy: Imaging and Analysis (Co-Hosted w/Invicro)Scintica Instrumentation
Advanced benchtop microscopes can deliver resolution on the order of nanometers. However, they are highly invasive and require hours to days of tedious sample preparation, increasing the possibility of artifacts. Imagine a microscope that can capture images in real time directly from a living animal!
Befitting this, laser confocal endomicroscopy (LCE), with its probe-based imaging approach, delivers cellular resolution, while being minimally invasive. Many scientists and imaging core facility managers refer to it as “virtual histology”; it captures real time microscale images like classical histology, in a non-destructive manner. It is a cutting-edge imaging modality with endless possibilities in preclinical imaging.
The FIVE2 (ViewnVivo) from Optiscan Imaging is the latest and most competent model of LCE designed for effortless, real-time preclinical imaging in numerous animal models. This live webinar from two different imaging experts provided scientists and postdocs with the theoretical and practical knowledge about the FIVE2 (ViewnVivo) and its preclinical research applications. Former product manager of FIVE2 technology, Dr. Mohammedayaz Rangrez, gave a hands-on demonstration of the technology, imaging in different tissue types, Z sectioning and other key capabilities of the system. Dr. Howard Dobson from Invicro discussed some of its applications and image analysis illustrated with examples from normal and diseased rodents. This included images of the liver, kidneys and colon. Imaging of the colon was demonstrated using an intraabdominal approach in both rats and mice, as well as through a rectal approach in rats, making it ideally suited for longitudinal studies. In addition, the use of the FIVE2 (ViewnVivo) to image and quantify blood flow in small vessels was illustrated. Examples of quantitative image analysis approaches were included for each organ.
Topics to be discussed in this webinar included:
Hardware functionality and software operation of the FIVE2 (ViewnVivo) – fluorescence in vivo endomicroscope
How to use the FIVE2 (ViewnVivo) for imaging tissue architecture with cellular resolution and for optical sectioning
Examples of normal and abnormal tissues in the abdominal cavity using a variety of fluorophores
Overview of the approach to image analysis
An understanding of applications of the FIVE2 (ViewnVivo) in preclinical research
Studying Epilepsy in Awake Head-Fixed Mice Using Microscopy, Electrophysiolog...InsideScientific
Epilepsy research employs sophisticated research methods such as fluorescence optical imaging and optogenetics, as well as novel electrophysiological techniques, to address unresolved questions about seizure generation and propagation on the cellular and circuitry levels. Since epilepsy research is most relevant when performed in non-anesthetized mice, it requires specialized tools that ensure stable head fixation during high-precision imaging and recordings.
In this webinar, Dr. Anthony Umpierre (Prof. LongJun Wu group, Mayo Clinic, USA) and Prof. Rob Wykes (UCL, UK) present their research on microglial calcium signaling and epileptic networks carried out in awake head-fixed mice. In addition to sharing exciting new findings, the presenters address the challenges of working with awake mice.
Key topics will include…
- Mesoscopic investigations of seizure dynamics and propagation using widefield calcium imaging
- Generating full-bandwidth electrophysiological recordings enabled by graphene micro-transistors to detect spreading depolarizations and seizures
- On-demand optogenetic induction of spreading depolarizations to investigate pharmacological suppression in the awake brain
- The impact of acute versus chronic window preparations on microglial calcium activity
- The use of genetically encoded calcium indicators to study calcium dynamics in microglia
- The effects of bi-directional shifts in neuronal activity caused by kainate-triggered status epilepticus and isoflurane anesthesia on microglial calcium
The document provides guidance on giving effective presentations. It discusses what content should be included in talks, common problems talks face, and best practices for slide design. Specifically, it recommends that talks include an introduction, methods, results and discussion. It notes common misuses of slides like excessive text or not using visuals to support assertions. The document also provides tips for making slides clearer, such as using consistent colors and formatting and limiting text.
March 23, 2015 Sheraton Silver Spring Hotel - Silver Spring, Maryland USA
Bioassays 2015: Scientific Approaches & Regulatory Strategies
Bioassay Development for Human Stem Cell-derived Retinal Pigment Epithelium: Progress and Challenges
Irina Klimanskaya, Ocata Therapeutics, Inc., Marlborough, MA USA
Turn Away from Traditional Tethering and Towards a Better Method for Data Col...InsideScientific
This document summarizes two techniques for collecting data from animals - traditional tethering methods using liquid swivels and commutators, and the Raturn cage system. The Raturn system avoids issues with traditional tethering by allowing the cage to rotate freely in response to animal movement without interfering with fluid or electrical connections. The document then discusses several studies comparing these techniques and how stress levels, drug administration accuracy, and data quality can be impacted by the method used. It also summarizes work combining microdialysis and electrophysiological recordings to simultaneously measure extracellular proteins and neuronal activity in awake, behaving animals.
Plasticity of adult brain after stroke, a studyAparajita Bose
This study investigated plasticity in the visual cortex (V1) following injury. The researchers used fMRI to map the population receptive fields (pRFs) in V1 of patients with visual field defects. They found two patterns of mismatch between fMRI mapping and visual field tests. In some patients, fMRI activation was smaller than the sighted visual field area. In others, fMRI activation was larger. This suggests limited reorganization in V1 after injury through small shifts (1-2 degrees) of pRF centers toward the scotoma border and slightly increased pRF sizes near the border. The degree of reorganization was minor, demonstrating plasticity in adult V1 is constrained.
What are most promising lifestyle and tech options to harness lifelong neurop...SharpBrains
This document summarizes a panel discussion on harnessing lifelong neuroplasticity through lifestyle and technology options, and the challenges ahead. The panel was chaired by experts in neuroplasticity and brain health. Panelists discussed using noninvasive brain stimulation techniques like TMS to measure biomarkers of brain circuit dynamics and plasticity. They described ongoing studies measuring lifestyle factors' impacts on brain health through the Barcelona Brain Health Initiative. Another panelist discussed opportunities for brain augmentation through nanotechnology but called for responsible development and public engagement and ethics guidelines to ensure benefits for individuals and society.
The document summarizes results from a phase 3 clinical trial of the drug odanacatib for treating osteoporosis in postmenopausal women. Key findings include:
- Odanacatib significantly reduced the risk of morphometric vertebral fractures by 54%, hip fractures by 47%, and nonvertebral fractures by 23% compared to placebo.
- Bone mineral density increased substantially with odanacatib therapy over 5 years.
- Safety analyses found low rates of adverse events with odanacatib, though some rare skin conditions were more common compared to placebo and require further investigation.
Microdialysis is an integral part of preclinical research to determine extracellular fluid and blood concentrations of metabolites, hormones, drugs, etc, and is often used in quantifying the biochemistry of brain and peripheral tissues. However, it is a molecular-only technique and other imaging modalities are needed to provide the researcher with functional and anatomical information of the animal in vivo.
IOL POWER CALCULATION IN CHILDREN-Dr.Preetiilal.pptxdrPreetiilal
This document discusses intraocular lens (IOL) power calculation in children. It begins by outlining normal eye development in children and the myopic shift that occurs. It then discusses important considerations for IOL power calculation including accurate measurement of axial length and keratometry, choosing an appropriate IOL formula, determining the target postoperative refraction based on age, and making intraoperative adjustments if needed. Tables provide estimated axial length and keratometry values by age and examples of IOL powers to achieve emmetropia or a desired refraction to minimize myopic shift. The document emphasizes that IOL power calculation in growing children requires a multifaceted approach to determine the optimal lens power.
HIGH-FIELD MRS methods to Study Human Body ZOOM MRSI 2-hg 2-hydroxyglutarate...Uzay Emir
This document discusses the use of high field MRI methods to study the human body. It provides background on how MRS has evolved from obtaining phosphate spectra in the 1970s to playing a pivotal role in human brain mapping. It describes comparative histories of automobile and smartphone societies from 2001-2012. Methods discussed include 1H MRS at high fields to study cancer metabolism, detect biomarkers for precision medicine in gliomas, and measure neurochemical profiles from childhood to adulthood. Ongoing work includes using ZOOM-MRSI, MRS-fMRI, and ultra-high field sodium and UTE imaging to study the brain, kidneys, cartilage and lungs.
Function and Phenotype Prediction through Data and Knowledge FusionKarin Verspoor
The biomedical literature captures the most current biomedical knowledge and is a tremendously rich resource for research. With over 24 million publications currently indexed in the US National Library of Medicine’s PubMed index, however, it is becoming increasingly challenging for biomedical researchers to keep up with this literature. Automated strategies for extracting information from it are required. Large-scale processing of the literature enables direct biomedical knowledge discovery. In this presentation, I will introduce the use of text mining techniques to support analysis of biological data sets, and will specifically discuss applications in protein function and phenotype prediction, exploring the integration of literature data with complementary structured resources.
- Small Animal In Vivo Imaging (SAIVI) has 25 years of experience developing fluorescent molecules and 45 chemists with expertise in organic and inorganic dyes, ligands, and enzyme substrates.
- SAIVI is now applying its expertise and tools to enable animal imaging to better understand the key characteristics required for effective animal imaging reagents.
- Molecular imaging combines targeting technology from molecular biology with detection technology from imaging instrumentation to image and monitor cellular and animal physiology and function in vivo.
Quantum Technology & Neurotechnology Innovation Networks: Quantum magnetic se...KTN
KTN connects people and organizations to drive innovation that improves lives. The upcoming webinar will discuss quantum magnetic sensors for brain imaging, including their potential applications and challenges. It will include presentations on quantum sensors, SERF magnetometry for MEG, clinical challenges in MEG applications, and a panel Q&A. Delegates will be muted during presentations and should use the Q&A box to ask questions.
Dr. Sascha Ott (University of Warwick) - Data-driven systems medicinemntbs1
The summary of Dr. Sascha Ott's presentation from the Jun 11-12th 2019 event Data-driven systems medicine at Cardiff University Brain Research Imaging Centre.
A description of the gnomAD resource, the loss-of-function variants discovered, and their applications to drug target discovery, and a case study in LRRK2.
Slides from Daniel MacArthur, myself, Eric Minikel, and Nicky Whiffin, and thanks to countless others involved in generating and analyzing the resource.
You're correct. FaceNet, developed by Google, achieved 99.63% accuracy on the Labeled Faces in the Wild (LFW) dataset, significantly higher than both DeepFace (97.35%) and the original baseline (95%). Deep learning models for face recognition have improved dramatically in recent years.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
This Journal Club presentation provides a summary and discussion of the following free access article published in UOG:
Intra- and interoperator reliability of manual and semi-automated measurements of intracranial translucency.
K. Karl, K.O Kagan, R. Chaoui
Volume 39, Issue 2, Date: February 2012, pages 164-168
This can be accessed here: http://onlinelibrary.wiley.com/doi/10.1002/uog.10137/abstract
Fluorescence in vivo Endomicroscopy: Imaging and Analysis (Co-Hosted w/Invicro)Scintica Instrumentation
Advanced benchtop microscopes can deliver resolution on the order of nanometers. However, they are highly invasive and require hours to days of tedious sample preparation, increasing the possibility of artifacts. Imagine a microscope that can capture images in real time directly from a living animal!
Befitting this, laser confocal endomicroscopy (LCE), with its probe-based imaging approach, delivers cellular resolution, while being minimally invasive. Many scientists and imaging core facility managers refer to it as “virtual histology”; it captures real time microscale images like classical histology, in a non-destructive manner. It is a cutting-edge imaging modality with endless possibilities in preclinical imaging.
The FIVE2 (ViewnVivo) from Optiscan Imaging is the latest and most competent model of LCE designed for effortless, real-time preclinical imaging in numerous animal models. This live webinar from two different imaging experts provided scientists and postdocs with the theoretical and practical knowledge about the FIVE2 (ViewnVivo) and its preclinical research applications. Former product manager of FIVE2 technology, Dr. Mohammedayaz Rangrez, gave a hands-on demonstration of the technology, imaging in different tissue types, Z sectioning and other key capabilities of the system. Dr. Howard Dobson from Invicro discussed some of its applications and image analysis illustrated with examples from normal and diseased rodents. This included images of the liver, kidneys and colon. Imaging of the colon was demonstrated using an intraabdominal approach in both rats and mice, as well as through a rectal approach in rats, making it ideally suited for longitudinal studies. In addition, the use of the FIVE2 (ViewnVivo) to image and quantify blood flow in small vessels was illustrated. Examples of quantitative image analysis approaches were included for each organ.
Topics to be discussed in this webinar included:
Hardware functionality and software operation of the FIVE2 (ViewnVivo) – fluorescence in vivo endomicroscope
How to use the FIVE2 (ViewnVivo) for imaging tissue architecture with cellular resolution and for optical sectioning
Examples of normal and abnormal tissues in the abdominal cavity using a variety of fluorophores
Overview of the approach to image analysis
An understanding of applications of the FIVE2 (ViewnVivo) in preclinical research
Studying Epilepsy in Awake Head-Fixed Mice Using Microscopy, Electrophysiolog...InsideScientific
Epilepsy research employs sophisticated research methods such as fluorescence optical imaging and optogenetics, as well as novel electrophysiological techniques, to address unresolved questions about seizure generation and propagation on the cellular and circuitry levels. Since epilepsy research is most relevant when performed in non-anesthetized mice, it requires specialized tools that ensure stable head fixation during high-precision imaging and recordings.
In this webinar, Dr. Anthony Umpierre (Prof. LongJun Wu group, Mayo Clinic, USA) and Prof. Rob Wykes (UCL, UK) present their research on microglial calcium signaling and epileptic networks carried out in awake head-fixed mice. In addition to sharing exciting new findings, the presenters address the challenges of working with awake mice.
Key topics will include…
- Mesoscopic investigations of seizure dynamics and propagation using widefield calcium imaging
- Generating full-bandwidth electrophysiological recordings enabled by graphene micro-transistors to detect spreading depolarizations and seizures
- On-demand optogenetic induction of spreading depolarizations to investigate pharmacological suppression in the awake brain
- The impact of acute versus chronic window preparations on microglial calcium activity
- The use of genetically encoded calcium indicators to study calcium dynamics in microglia
- The effects of bi-directional shifts in neuronal activity caused by kainate-triggered status epilepticus and isoflurane anesthesia on microglial calcium
The document provides guidance on giving effective presentations. It discusses what content should be included in talks, common problems talks face, and best practices for slide design. Specifically, it recommends that talks include an introduction, methods, results and discussion. It notes common misuses of slides like excessive text or not using visuals to support assertions. The document also provides tips for making slides clearer, such as using consistent colors and formatting and limiting text.
March 23, 2015 Sheraton Silver Spring Hotel - Silver Spring, Maryland USA
Bioassays 2015: Scientific Approaches & Regulatory Strategies
Bioassay Development for Human Stem Cell-derived Retinal Pigment Epithelium: Progress and Challenges
Irina Klimanskaya, Ocata Therapeutics, Inc., Marlborough, MA USA
Turn Away from Traditional Tethering and Towards a Better Method for Data Col...InsideScientific
This document summarizes two techniques for collecting data from animals - traditional tethering methods using liquid swivels and commutators, and the Raturn cage system. The Raturn system avoids issues with traditional tethering by allowing the cage to rotate freely in response to animal movement without interfering with fluid or electrical connections. The document then discusses several studies comparing these techniques and how stress levels, drug administration accuracy, and data quality can be impacted by the method used. It also summarizes work combining microdialysis and electrophysiological recordings to simultaneously measure extracellular proteins and neuronal activity in awake, behaving animals.
Plasticity of adult brain after stroke, a studyAparajita Bose
This study investigated plasticity in the visual cortex (V1) following injury. The researchers used fMRI to map the population receptive fields (pRFs) in V1 of patients with visual field defects. They found two patterns of mismatch between fMRI mapping and visual field tests. In some patients, fMRI activation was smaller than the sighted visual field area. In others, fMRI activation was larger. This suggests limited reorganization in V1 after injury through small shifts (1-2 degrees) of pRF centers toward the scotoma border and slightly increased pRF sizes near the border. The degree of reorganization was minor, demonstrating plasticity in adult V1 is constrained.
What are most promising lifestyle and tech options to harness lifelong neurop...SharpBrains
This document summarizes a panel discussion on harnessing lifelong neuroplasticity through lifestyle and technology options, and the challenges ahead. The panel was chaired by experts in neuroplasticity and brain health. Panelists discussed using noninvasive brain stimulation techniques like TMS to measure biomarkers of brain circuit dynamics and plasticity. They described ongoing studies measuring lifestyle factors' impacts on brain health through the Barcelona Brain Health Initiative. Another panelist discussed opportunities for brain augmentation through nanotechnology but called for responsible development and public engagement and ethics guidelines to ensure benefits for individuals and society.
The document summarizes results from a phase 3 clinical trial of the drug odanacatib for treating osteoporosis in postmenopausal women. Key findings include:
- Odanacatib significantly reduced the risk of morphometric vertebral fractures by 54%, hip fractures by 47%, and nonvertebral fractures by 23% compared to placebo.
- Bone mineral density increased substantially with odanacatib therapy over 5 years.
- Safety analyses found low rates of adverse events with odanacatib, though some rare skin conditions were more common compared to placebo and require further investigation.
Microdialysis is an integral part of preclinical research to determine extracellular fluid and blood concentrations of metabolites, hormones, drugs, etc, and is often used in quantifying the biochemistry of brain and peripheral tissues. However, it is a molecular-only technique and other imaging modalities are needed to provide the researcher with functional and anatomical information of the animal in vivo.
IOL POWER CALCULATION IN CHILDREN-Dr.Preetiilal.pptxdrPreetiilal
This document discusses intraocular lens (IOL) power calculation in children. It begins by outlining normal eye development in children and the myopic shift that occurs. It then discusses important considerations for IOL power calculation including accurate measurement of axial length and keratometry, choosing an appropriate IOL formula, determining the target postoperative refraction based on age, and making intraoperative adjustments if needed. Tables provide estimated axial length and keratometry values by age and examples of IOL powers to achieve emmetropia or a desired refraction to minimize myopic shift. The document emphasizes that IOL power calculation in growing children requires a multifaceted approach to determine the optimal lens power.
HIGH-FIELD MRS methods to Study Human Body ZOOM MRSI 2-hg 2-hydroxyglutarate...Uzay Emir
This document discusses the use of high field MRI methods to study the human body. It provides background on how MRS has evolved from obtaining phosphate spectra in the 1970s to playing a pivotal role in human brain mapping. It describes comparative histories of automobile and smartphone societies from 2001-2012. Methods discussed include 1H MRS at high fields to study cancer metabolism, detect biomarkers for precision medicine in gliomas, and measure neurochemical profiles from childhood to adulthood. Ongoing work includes using ZOOM-MRSI, MRS-fMRI, and ultra-high field sodium and UTE imaging to study the brain, kidneys, cartilage and lungs.
Function and Phenotype Prediction through Data and Knowledge FusionKarin Verspoor
The biomedical literature captures the most current biomedical knowledge and is a tremendously rich resource for research. With over 24 million publications currently indexed in the US National Library of Medicine’s PubMed index, however, it is becoming increasingly challenging for biomedical researchers to keep up with this literature. Automated strategies for extracting information from it are required. Large-scale processing of the literature enables direct biomedical knowledge discovery. In this presentation, I will introduce the use of text mining techniques to support analysis of biological data sets, and will specifically discuss applications in protein function and phenotype prediction, exploring the integration of literature data with complementary structured resources.
- Small Animal In Vivo Imaging (SAIVI) has 25 years of experience developing fluorescent molecules and 45 chemists with expertise in organic and inorganic dyes, ligands, and enzyme substrates.
- SAIVI is now applying its expertise and tools to enable animal imaging to better understand the key characteristics required for effective animal imaging reagents.
- Molecular imaging combines targeting technology from molecular biology with detection technology from imaging instrumentation to image and monitor cellular and animal physiology and function in vivo.
Quantum Technology & Neurotechnology Innovation Networks: Quantum magnetic se...KTN
KTN connects people and organizations to drive innovation that improves lives. The upcoming webinar will discuss quantum magnetic sensors for brain imaging, including their potential applications and challenges. It will include presentations on quantum sensors, SERF magnetometry for MEG, clinical challenges in MEG applications, and a panel Q&A. Delegates will be muted during presentations and should use the Q&A box to ask questions.
Dr. Sascha Ott (University of Warwick) - Data-driven systems medicinemntbs1
The summary of Dr. Sascha Ott's presentation from the Jun 11-12th 2019 event Data-driven systems medicine at Cardiff University Brain Research Imaging Centre.
A description of the gnomAD resource, the loss-of-function variants discovered, and their applications to drug target discovery, and a case study in LRRK2.
Slides from Daniel MacArthur, myself, Eric Minikel, and Nicky Whiffin, and thanks to countless others involved in generating and analyzing the resource.
You're correct. FaceNet, developed by Google, achieved 99.63% accuracy on the Labeled Faces in the Wild (LFW) dataset, significantly higher than both DeepFace (97.35%) and the original baseline (95%). Deep learning models for face recognition have improved dramatically in recent years.
Similar to Robust motion correction and outlier rejection of in vivo functional MR images of the fetal brain and placenta during maternal hyperoxia (20)
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...AbdullaAlAsif1
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
aziz sancar nobel prize winner: from mardin to nobel
Robust motion correction and outlier rejection of in vivo functional MR images of the fetal brain and placenta during maternal hyperoxia
1. Robust Motion Correction
and Outlier Rejection
of in vivo Functional MR Images
of the Fetal Brain and Placenta
during Maternal Hyperoxia
Paper 9417-23
Wonsang You, Ahmed Serag, Iordanis E. Evangelou,
Nickie Niforatos-Andescavage, Catherine Limperopoulos
The SPIE Medical Imaging conference
Conference 9417
Biomedical Applications in Molecular, Structural, and Functional Imaging
Session 5: fMRI
25 February 2015 at 2:40 - 3:00 PM
Children's National Medical Center, George Washington University (United States)
1
2. Background : Placenta
The placenta plays a critical role for
oxygenation of the fetus.
The placenta provides maternal-fetal
transit of essential metabolites and
clearance of toxic substances.
2
There is a paucity of tools available to reliably assess in vivo
placental health and function.
Existing clinical tools for placental assessment remain
insensitive in predicting and assessing placental well-being.
3. Background: Hyperoxia Study
Changes in fetal brain and placental oxygenation during
maternal hyperoxia have been explored using fMRI.
BOLD signal is significantly degraded by diverse factors
– fetal motion, respiration, cardiac pulsation, amniotic fluid.
Available tools do not successfully mitigate these factors.
Objective : to develop a robust preprocessing pipeline
dedicated to the fetal brain and placenta.
3
5. Methods
5
Regions of interest (ROIs) Mean signals over an ROI
Time points
Hyperoxia
Placenta
Brain
360
340
300
320
280
240
260
50 100 150 200 250
AveragedBOLDsignal
Placenta
Brain
6. Challenge : Fetal Motion
6
FMRI data are significantly affected by fetal movement.
Global motion correction (GMC)
Local motion correction (LMC)
Volume outlier rejection (VOR)
Missing data recovery (MDR)
The proposed preprocessing pipeline
Bias field correction (BFC)
Brain
Placenta
1
2
3
4
7. Design-optimized Motion Correction
7
Global motion correction
Local motion correction
Fetal motion varies over phases and ROIs.
1
2
Motion correction separately in
each ROI.
Motion correction separately in
each phase.
Brain Placenta
Baseline Hyperoxia Return to baseline
time
……
Each volume is registered to
phase-specific t-mean volume. Mean volume
Field of view (FOV) is restricted
to dilated ROI.
8. ProbabilisticVolume Outlier Rejection
8
Typical motion correction is not successful for some volumes with large motion.
Wrongly registered volumes can be detected based on the outlier probability of
BOLD signal.
Large motion Small motion
Large motion leads to large number of voxels in non-
overlapping part.
A non-overlapping voxel is
likely to have an outlier in its
BOLD signal.
𝑃 𝑂 = 𝑃 𝑂 𝐵 𝑃 𝐵 + 𝑃 𝑂 𝐹 𝑃(𝐹)
𝑃 𝑂 𝐵 high
𝑚 ∝ 𝑃 𝐵
Bayes rule
→ used as the Volume Outlier Score (VOS)
A
B
C
Outlier score can be obtained by using the
Bayes rule.
9. Outlier Rejection and Missing Data Recovery
9
Volume index
Intensity
Augmented signal
Data imputation
by regression and Gaussian
uncertainty
Thresholding
Volume outlier score
Detecting outlier volumes
by thresholding the volume outlier
scores
Outlier volumes
Hyperoxia
10. Results : Outlier Rejection
10
Before volume outlier rejection After volume outlier rejection
0
• Median absolute residual variation (MARV) was reduced after
volume outlier rejection.
• It means most voxels have less noisy BOLD signals.
20
10
0
30
40
50
60
70
20
10
40
60
70
Less noise
11. Results : Motion Correction
11
0
2
4
6
8
10
12
FLIRT Proposed
• The number of outliers in
structural similarity between
each volume and template
was reduced.
• The number of temporal outliers
in ROI-averaged time series was
reduced.
2
4
6
8
Raw GMC LMC VOR
12. Applications
12
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
25 27 29 31 33 35 37 39
Gestational week
Correlation analyses after applying the preprocessing pipeline.
Demonstrated linearly increasing connectivity between the
placenta and fetal brain.
13. Conclusion 1
Design-optimized multi-stage motion correction
Effective for stimulus-based fMRI of the moving fetus.
Volume outlier rejection and missing data recovery
Imperfect motion correction can be compensated by
automatic outlier rejection and statistical data imputation.
Effective for imaging data whose subject motion cannot be
well corrected.
13
14. Conclusion 2
Our work offers important technical advances for reliable
preprocessing of stimulus-based fMRI studies in the living
fetus.
This work lays the foundation for
– non-invasive functional assessment of the fetal brain-
placental unit,
– fetal brain oxygenation in response to maternal oxygen
therapy in high-risk pregnancies.
14
Editor's Notes
My talk is about how to overcome serious fetal motion to analyze functional MRI data of the fetal brain and placenta during maternal hyperoxia.
In conclusion, we developed a robust preprocessing technique including not only design-optimized multi-stage motion correction but also volume outlier rejection and missing data recovery.
The design-optimized multi-stage motion correction is effective for stimulus-based fMRI of the moving fetus.
On the other hand, imperfect motion correction can be compensated by automatic outlier rejection and statistical data imputation.
Therefore, it is effective for imaging data whose subject motion cannot be well corrected.
We tested the applicability of the proposed methods to pediatric data analyses.
After applying the proposed preprocessing pipeline, the correlation analyses show linearly increasing trend of connectivity between the placenta and fetal brain.
Thank you for your attention.
In conclusion, we developed a robust preprocessing technique including not only design-optimized multi-stage motion correction but also volume outlier rejection and missing data recovery.
The design-optimized multi-stage motion correction is effective for stimulus-based fMRI of the moving fetus.
On the other hand, imperfect motion correction can be compensated by automatic outlier rejection and statistical data imputation.
Therefore, it is effective for imaging data whose subject motion cannot be well corrected.
We tested the applicability of the proposed methods to pediatric data analyses.
After applying the proposed preprocessing pipeline, the correlation analyses show linearly increasing trend of connectivity between the placenta and fetal brain.
Thank you for your attention.
What is the effect of maternal hyperoxia on the functional relationship between the placenta and the fetal brain?
Our primary scientific question is how the maternal hyperoxia affects the functional relationship between the placenta and fetal brain.
To answer this question, we built the maternal hyperoxia study design as shown here.
After two minutes resting state, 100% oxygen was supplied for four minutes.
An EPI sequence was acquired including both the placenta and fetal brain.
Then, the regions of interest were manually segmented, and BOLD signals were averaged over each ROI for post-processing analyses.
What is the effect of maternal hyperoxia on the functional relationship between the placenta and the fetal brain?
Our primary scientific question is how the maternal hyperoxia affects the functional relationship between the placenta and fetal brain.
To answer this question, we built the maternal hyperoxia study design as shown here.
After two minutes resting state, 100% oxygen was supplied for four minutes.
An EPI sequence was acquired including both the placenta and fetal brain.
Then, the regions of interest were manually segmented, and BOLD signals were averaged over each ROI for post-processing analyses.
However, the functional MRI data are significantly affected by fetal movement.
Let’s see an example with this video.
As you see, the brain moves a lot, but its motion is significantly different from placental motion.
For this reason, the traditional motion correction tools do not work well.
To overcome the problem of fetal motion artifact, we proposed the following preprocessing pipeline.
Briefly, it consisted of five steps including as bias field correction, global motion correction, local motion correction, volume outlier rejection, and missing data recovery.
Fetal motion is heterogeneous throughout the stimulus phases and ROIs.
Therefore our goal was to optimize motion correction for the stimulus design.
Our proposed method consists of two consecutive steps of global motion correction and local motion correction.
In the global motion correction step, an EPI sequence is separated into three phases, and motion correction is performed independently in each phase.
In other words, a template is defined as phase-specific mean volume, and each volume is registered to the phase-specific template.
For the local motion correction step, each volume is separated into brain-masked volume and plancenta-masked volume, and motion correction is performed independently in each ROI-masked volume.
One important difference with normal motion correction is that the field of view is limited to an ROI and its neighborhood.
However, Motion correction sometimes fails for certain high motion volumes.
The wrongly registered volumes, so called the outlier volumes, can be automatically detected based on the temporal variation of BOLD signals, that is, by using the outlier probability of BOLD signals.
As you seen in these right-hand figures, high motion leads to large number of voxels in the non-overlapping part.
It means that the probability of an ROI voxel belonging to the background is monotonically increasing with higher object motion.
Therefore, the probability P(B) can be used as the volume outlier score.
On the other hand, as shown on the left-hand figures, a non-overlapping voxel is likely to have an outlier in its BOLD signal.
This means that the posterior probability P(O|B) of a background voxel having an outlier is high.
By using these empirical assumptions, the volume outlier scores can be computed by using the Bayes rule.
Finally, as shown in the top-right figure, the volume outliers can be detected by thresholding the volume outlier scores.
The left figure is an example of volume outlier rejection.
As you see, the volume outlier rejection produces missing data points in the ROI-averaged time series.
The existence of missing data can affect the reliability of data analyses in post-processing.
To solve this problem, we developed a technique to estimate the missing data statistically.
As shown in the bottom-right figure, the missing data can be imputed by regression with Gaussian uncertainty.
The performance of proposed methods was evaluated with 16 subjects.
Median absolute residual variation (MARV) was significantly reduced after volume outlier rejection.
As shown in the left figure, it means that the BOLD signals became less noisy in most voxels.
To validate the performance of motion correction, we computed structural similarity between each volume and template.
As you see in the top-right figure, the number of outliers in structural similarity was exponentially reduced after each preprocessing step.
Also, as compared the performance with the traditional motion correction tool called FLIRT.
The bottom-right figure shows that the number of temporal outliers in ROI-averaged time series was significantly reduced.
The performance of proposed methods was evaluated with 16 subjects.
Median absolute residual variation (MARV) was significantly reduced after volume outlier rejection.
As shown in the left figure, it means that the BOLD signals became less noisy in most voxels.
To validate the performance of motion correction, we computed structural similarity between each volume and template.
As you see in the top-right figure, the number of outliers in structural similarity was exponentially reduced after each preprocessing step.
Also, as compared the performance with the traditional motion correction tool called FLIRT.
The bottom-right figure shows that the number of temporal outliers in ROI-averaged time series was significantly reduced.
We tested the applicability of the proposed methods to pediatric data analyses.
After applying the proposed preprocessing pipeline, the correlation analyses show linearly increasing trend of connectivity between the placenta and fetal brain.
In conclusion, we developed a robust preprocessing technique including not only design-optimized multi-stage motion correction but also volume outlier rejection and missing data recovery.
The design-optimized multi-stage motion correction is effective for stimulus-based fMRI of the moving fetus.
On the other hand, imperfect motion correction can be compensated by automatic outlier rejection and statistical data imputation.
Therefore, it is effective for imaging data whose subject motion cannot be well corrected.
We tested the applicability of the proposed methods to pediatric data analyses.
After applying the proposed preprocessing pipeline, the correlation analyses show linearly increasing trend of connectivity between the placenta and fetal brain.
Thank you for your attention.
In conclusion, we developed a robust preprocessing technique including not only design-optimized multi-stage motion correction but also volume outlier rejection and missing data recovery.
The design-optimized multi-stage motion correction is effective for stimulus-based fMRI of the moving fetus.
On the other hand, imperfect motion correction can be compensated by automatic outlier rejection and statistical data imputation.
Therefore, it is effective for imaging data whose subject motion cannot be well corrected.
We tested the applicability of the proposed methods to pediatric data analyses.
After applying the proposed preprocessing pipeline, the correlation analyses show linearly increasing trend of connectivity between the placenta and fetal brain.
Thank you for your attention.