The document discusses using magnetoencephalography (MEG) and diffusion tensor imaging (DTI) to better diagnose mild traumatic brain injury (mTBI) and post-traumatic stress disorder (PTSD). Conventional imaging like CT and MRI often miss injuries from mTBI and find nothing abnormal for PTSD. MEG can detect abnormal low-frequency brain signals from injured areas in mTBI patients. DTI can find reduced anisotropy in white matter tracts, providing evidence of axonal injuries linked to areas generating MEG signals. Combining MEG and DTI findings provides stronger evidence of neuronal injury in mTBI than conventional imaging alone. MEG may also detect hyperactivated brain networks involved in PTSD
The Neuroprosthetics is an emerging field in the Health Care & Engineering Sector.
In this Technology a Specialized Chip is implanted in the Brain & by using Electronic & Mechanical Components the Brain Waves in converted into respective Mechanical Movements.
Neuroprosthetics is specifically used for patients suffering from Paralysis, Amoyotropic Lateral Sclerosis & Multiple Sclerosis.
This Field is in its Initial Stage in terms of Research specifically in India.This field requires a lot of research specially for India & Developing Countries.
Neuroprosthetics will be an Transforming World for Health Sector in the future.
15 Trends In Neurotechnologies That Will Change The WorldNikita Lukianets
Below are technologies related to neuro and cognitive under three key areas of accelerating change: Machine Learning & Neural Network Computing, Extended Cognition and Neural Interfaces. Neural network computing will lead to improvements in computer vision and analysis, such as detecting emotions and moods, which may have safety and security applications. Extended cognition involves more direct connection to people's brains, allowing mood, thought patterns and information to be altered in the brain. Neural interfaces get information out of people's brains more efficiently, ultimately allowing a machine-enabled form of telepathy. This presentation covers Michell Zappa research from Policy Horizons Canada
The Neuroprosthetics is an emerging field in the Health Care & Engineering Sector.
In this Technology a Specialized Chip is implanted in the Brain & by using Electronic & Mechanical Components the Brain Waves in converted into respective Mechanical Movements.
Neuroprosthetics is specifically used for patients suffering from Paralysis, Amoyotropic Lateral Sclerosis & Multiple Sclerosis.
This Field is in its Initial Stage in terms of Research specifically in India.This field requires a lot of research specially for India & Developing Countries.
Neuroprosthetics will be an Transforming World for Health Sector in the future.
15 Trends In Neurotechnologies That Will Change The WorldNikita Lukianets
Below are technologies related to neuro and cognitive under three key areas of accelerating change: Machine Learning & Neural Network Computing, Extended Cognition and Neural Interfaces. Neural network computing will lead to improvements in computer vision and analysis, such as detecting emotions and moods, which may have safety and security applications. Extended cognition involves more direct connection to people's brains, allowing mood, thought patterns and information to be altered in the brain. Neural interfaces get information out of people's brains more efficiently, ultimately allowing a machine-enabled form of telepathy. This presentation covers Michell Zappa research from Policy Horizons Canada
This slide is about the basic theories of Neurotechnology.
It shows
1. An overview of this area
- Market value, etc
2. Basic knowledge
- Types of neurotechnologies
- Basics of neuroscience
- software engineering.
3. Use cases with neurotechnologies.
Modelling and Analysis of EEG Signals Based on Real Time Control for Wheel ChairIJTET Journal
Free versatility is center to having the capacity to perform exercises of day by day living without anyone else's input. In this proposed framework introduce an imparted control construction modeling that couples the knowledge and cravings of the client with the exactness of a controlled wheelchair. Outspread Basis Function system was utilized to characterize the predefined developments, for example, rest, forward, regressive, left and right of the wheelchair. This EEG-based cerebrum controlled wheelchair has been produced for utilization by totally incapacitated patients. The proposed outline incorporates a novel methodology for selecting ideal terminal positions, a progression of sign transforming and an interface to a controlled wheelchair.The Brain Controlled Wheelchair (BCW) is a basic automated framework intended for individuals, for example, bolted in individuals, who are not ready to utilize physical interfaces like joysticks or catches. The objective is to add to a framework usable in healing centers and homes with insignificant base alterations, which can help these individuals recover some portability. Also, it is explored whether execution in the STOP interface would be influenced amid movement, and discovered no modification with respect to the static performance.Finally, the general procedure was assessed and contrasted with other cerebrum controlled wheelchair ventures. Notwithstanding the overhead needed to choose the destination on the interface, the wheelchair is quicker than others .It permits to explore in a commonplace indoor environment inside a sensible time. Accentuation was put on client's security and comfort,the movement direction procedure guarantees smooth, protected and unsurprising route, while mental exertion and exhaustion are minimized by lessening control to destination determination.
Microneurography: Recording Nerve Traffic Via Intraneural Microelectrodes in ...InsideScientific
In this webinar sponsored by ADInstruments, Professor Vaughan Macefield, one of the world’s leading neurophysiologists in the field of microneurography, speaks about the current trends in this field, and specifically shares methodology, tips and best-practices that he uses in his lab to answer complex questions about physiological processes and associated stimuli.
Key topics covered during this webinar included…
- What is Microneurography and what sort of scientific questions can it answer?
- What are the current trends in the field?
- What equipment is needed to do this type of work?
- Tips, tricks and best-practices for the Microneurography technique
- Important data acquisition and analysis processes
Background:
While many neurophysiologists use invasive techniques to record from the brain or peripheral nerves in anaesthesed animals, such approaches have – of necessity – been rather limited in human subjects. However, 50 years ago the first direct recordings of nerve activity from peripheral nerves in awake human subjects were published. In Uppsala, Sweden, Karl–Erik Hagbarth and Åke Vallbo developed the technique of “microneurography”, in which an insulated tungsten microelectrode is inserted through the skin and into a muscle or cutaneous fascicle of a peripheral (or cranial) nerve. Their original aim was to understand the population behavior of muscle spindles during voluntary contractions, but they soon discovered that they could record from individual myelinated sensory axons supplying muscle or skin. Moreover, they confirmed that the same microelectrodes could record spontaneous and evoked activity generated by the unmyelinated sympathetic axons.
Amyotrophic Lateral Sclerosis (ALS) is the most common progressive neurodegenerative disorder reflecting
the degeneration of upper and lower motor neurons. Motor neurons controls the communication between nervous
system and muscles of the body. ALS results in the loss of voluntary control over muscular activities along with the
inability to breathe and the maximum life expectancy of affected individual will be 3-5 years from the onset of
symptoms. But the lifetime of affected people can be extended by early detection of disease. The usual methods for
diagnosis are Electromyography (EMG), Nerve Conduction Study (NCS), Magnetic Resonance Imaging (MRI) and
Magneto-encephalography (MEG). But some of these methods may erroneously result in neuropathy or myopathy
instead of ALS and some do not provide any biomarker. EEG is comparatively least expensive method and it
provides biomarker for ALS detection. ALS is always associated with fronto-temporal dementia (FTD). The spectral
analysis of EEG will reveal the structural and functional connectivity alterations of the underlying neural network
that occurs due to FTD and it can generate potential biomarkers for the early detection of ALS. A novel algorithm
has been developed by exploiting the Dual Tree Complex Wavelet Transform (DTCWT) technique and it can
overcome the short comes of existing methods for the analysis and feature extraction of EEG. Deterministic
biomarkers were obtained from spectral analysis of EEG and the proposed algorithm provided 100% accuracy for all
the test datasets.
fNIRS and Brain Computer Interface for CommunicationInsideScientific
LIVE WEBINAR: June 8, 2017
Dr. Ujwal Chaudhary and Dr. Bettina Sorger present groundbreaking research in the field of fNIRS-based BCI for communication with healthy subjects and patients in completely locked-in states.
Neural activity is accompanied by a hemodynamic (vascular) responses that is sensitive to a host of features of coordinated brain function. Relating these measures to the seemingly endless breadth of human behavior is a principal aim of many scientific investigations. Fortunately, learning, language acquisition, sensory and motor functions, emotion, social interactions, and the influence of a host of disease processes can all be explored from measures of the functional near-infrared spectroscopy (fNIRS) signal. Wearable fNIRS technology exists that is portable, safe and easy to use, resistant to motion artifacts and can be employed in a subjects natural environment.
A promising application for fNIRS is the design of brain-computer interfaces (BCIs) for communication with completely locked-in patients. In the so called ‘locked-in’ state, fully conscious and awake patients are unable to communicate naturally due to severe motor paralysis. These patients are, however, able to modulate their brain activity which can be decoded and understood by exploring the fNIRS signal.
In this exclusive webinar sponsored by NIRx Medical Technologies, experts present the basic principles of fNIRS and BCI, technical setup and guidelines for running a successful fNIRS study and a comparison of fNIRS with other functional neuroimaging methods. Presenters highlight groundbreaking research in the field of fNIRS-based BCI for communication with healthy subjects and patients in a completely locked-in state. Specifically, Dr. Ujwal Chaudhary (University of Tübingen) shares results of his research with healthy participants and patients with locked-in syndrome due to amyotrophic lateral sclerosis (ALS). Dr. Bettina Sorger (Maastricht University) presents data from a recent study demonstrating the feasibility of a multiple-choice fNIRS-based communication BCI using differently-timed motor imagery as an information-encoding strategy.
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.
BRAIN GATE TECHNOLOGY is a boon for ppl met with accidents leading to spinal cord failure,,,,, THIS technology brings ray of hope and sunshine in their life
The mind-to-movement system that allows a quadriplegic man to control a computer using only his thoughts is a scientific milestone. It was reached, in large part, through the brain gate system. This system has become a boon to the paralyzed. The Brain Gate System is based on Cyber kinetics platform technology to sense, transmit, analyze and apply the language of neurons. The principle of operation behind the Brain Gate System is that with intact brain function, brain signals are generated even though they are not sent to the arms, hands and legs.The signals are interpreted and translated into cursor movements, offering the user an alternate Brain Gate pathway to control a computer with thought,just as individuals who have the ability to move their hands use a mouse. The 'Brain Gate' contains tiny spikes that will extend down about one millimetre into the brain after being implanted beneath the skull,monitoring the activity from a small group of neurons.It will now be possible for a patient with spinal cord injury to produce brain signals that relay the intention of moving the paralyzed limbs,as signals to an implanted sensor,which is then output as electronic impulses. These impulses enable the user to operate mechanical devices with the help of a computer cursor. Matthew Nagle,a 25-year-old Massachusetts man with a severe spinal cord injury,has been paralyzed from the neck down since 2001.After taking part in a clinical trial of this system,he has opened e-mail,switched TV channels,turned on lights
MagnetoenCephaloGraphy (MEG) is a technique for mapping brain activity by recording magnetic fields produced by electrical currents occurring naturally in the brain, using very sensitive magnetometers.
This slide is about the basic theories of Neurotechnology.
It shows
1. An overview of this area
- Market value, etc
2. Basic knowledge
- Types of neurotechnologies
- Basics of neuroscience
- software engineering.
3. Use cases with neurotechnologies.
Modelling and Analysis of EEG Signals Based on Real Time Control for Wheel ChairIJTET Journal
Free versatility is center to having the capacity to perform exercises of day by day living without anyone else's input. In this proposed framework introduce an imparted control construction modeling that couples the knowledge and cravings of the client with the exactness of a controlled wheelchair. Outspread Basis Function system was utilized to characterize the predefined developments, for example, rest, forward, regressive, left and right of the wheelchair. This EEG-based cerebrum controlled wheelchair has been produced for utilization by totally incapacitated patients. The proposed outline incorporates a novel methodology for selecting ideal terminal positions, a progression of sign transforming and an interface to a controlled wheelchair.The Brain Controlled Wheelchair (BCW) is a basic automated framework intended for individuals, for example, bolted in individuals, who are not ready to utilize physical interfaces like joysticks or catches. The objective is to add to a framework usable in healing centers and homes with insignificant base alterations, which can help these individuals recover some portability. Also, it is explored whether execution in the STOP interface would be influenced amid movement, and discovered no modification with respect to the static performance.Finally, the general procedure was assessed and contrasted with other cerebrum controlled wheelchair ventures. Notwithstanding the overhead needed to choose the destination on the interface, the wheelchair is quicker than others .It permits to explore in a commonplace indoor environment inside a sensible time. Accentuation was put on client's security and comfort,the movement direction procedure guarantees smooth, protected and unsurprising route, while mental exertion and exhaustion are minimized by lessening control to destination determination.
Microneurography: Recording Nerve Traffic Via Intraneural Microelectrodes in ...InsideScientific
In this webinar sponsored by ADInstruments, Professor Vaughan Macefield, one of the world’s leading neurophysiologists in the field of microneurography, speaks about the current trends in this field, and specifically shares methodology, tips and best-practices that he uses in his lab to answer complex questions about physiological processes and associated stimuli.
Key topics covered during this webinar included…
- What is Microneurography and what sort of scientific questions can it answer?
- What are the current trends in the field?
- What equipment is needed to do this type of work?
- Tips, tricks and best-practices for the Microneurography technique
- Important data acquisition and analysis processes
Background:
While many neurophysiologists use invasive techniques to record from the brain or peripheral nerves in anaesthesed animals, such approaches have – of necessity – been rather limited in human subjects. However, 50 years ago the first direct recordings of nerve activity from peripheral nerves in awake human subjects were published. In Uppsala, Sweden, Karl–Erik Hagbarth and Åke Vallbo developed the technique of “microneurography”, in which an insulated tungsten microelectrode is inserted through the skin and into a muscle or cutaneous fascicle of a peripheral (or cranial) nerve. Their original aim was to understand the population behavior of muscle spindles during voluntary contractions, but they soon discovered that they could record from individual myelinated sensory axons supplying muscle or skin. Moreover, they confirmed that the same microelectrodes could record spontaneous and evoked activity generated by the unmyelinated sympathetic axons.
Amyotrophic Lateral Sclerosis (ALS) is the most common progressive neurodegenerative disorder reflecting
the degeneration of upper and lower motor neurons. Motor neurons controls the communication between nervous
system and muscles of the body. ALS results in the loss of voluntary control over muscular activities along with the
inability to breathe and the maximum life expectancy of affected individual will be 3-5 years from the onset of
symptoms. But the lifetime of affected people can be extended by early detection of disease. The usual methods for
diagnosis are Electromyography (EMG), Nerve Conduction Study (NCS), Magnetic Resonance Imaging (MRI) and
Magneto-encephalography (MEG). But some of these methods may erroneously result in neuropathy or myopathy
instead of ALS and some do not provide any biomarker. EEG is comparatively least expensive method and it
provides biomarker for ALS detection. ALS is always associated with fronto-temporal dementia (FTD). The spectral
analysis of EEG will reveal the structural and functional connectivity alterations of the underlying neural network
that occurs due to FTD and it can generate potential biomarkers for the early detection of ALS. A novel algorithm
has been developed by exploiting the Dual Tree Complex Wavelet Transform (DTCWT) technique and it can
overcome the short comes of existing methods for the analysis and feature extraction of EEG. Deterministic
biomarkers were obtained from spectral analysis of EEG and the proposed algorithm provided 100% accuracy for all
the test datasets.
fNIRS and Brain Computer Interface for CommunicationInsideScientific
LIVE WEBINAR: June 8, 2017
Dr. Ujwal Chaudhary and Dr. Bettina Sorger present groundbreaking research in the field of fNIRS-based BCI for communication with healthy subjects and patients in completely locked-in states.
Neural activity is accompanied by a hemodynamic (vascular) responses that is sensitive to a host of features of coordinated brain function. Relating these measures to the seemingly endless breadth of human behavior is a principal aim of many scientific investigations. Fortunately, learning, language acquisition, sensory and motor functions, emotion, social interactions, and the influence of a host of disease processes can all be explored from measures of the functional near-infrared spectroscopy (fNIRS) signal. Wearable fNIRS technology exists that is portable, safe and easy to use, resistant to motion artifacts and can be employed in a subjects natural environment.
A promising application for fNIRS is the design of brain-computer interfaces (BCIs) for communication with completely locked-in patients. In the so called ‘locked-in’ state, fully conscious and awake patients are unable to communicate naturally due to severe motor paralysis. These patients are, however, able to modulate their brain activity which can be decoded and understood by exploring the fNIRS signal.
In this exclusive webinar sponsored by NIRx Medical Technologies, experts present the basic principles of fNIRS and BCI, technical setup and guidelines for running a successful fNIRS study and a comparison of fNIRS with other functional neuroimaging methods. Presenters highlight groundbreaking research in the field of fNIRS-based BCI for communication with healthy subjects and patients in a completely locked-in state. Specifically, Dr. Ujwal Chaudhary (University of Tübingen) shares results of his research with healthy participants and patients with locked-in syndrome due to amyotrophic lateral sclerosis (ALS). Dr. Bettina Sorger (Maastricht University) presents data from a recent study demonstrating the feasibility of a multiple-choice fNIRS-based communication BCI using differently-timed motor imagery as an information-encoding strategy.
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.
BRAIN GATE TECHNOLOGY is a boon for ppl met with accidents leading to spinal cord failure,,,,, THIS technology brings ray of hope and sunshine in their life
The mind-to-movement system that allows a quadriplegic man to control a computer using only his thoughts is a scientific milestone. It was reached, in large part, through the brain gate system. This system has become a boon to the paralyzed. The Brain Gate System is based on Cyber kinetics platform technology to sense, transmit, analyze and apply the language of neurons. The principle of operation behind the Brain Gate System is that with intact brain function, brain signals are generated even though they are not sent to the arms, hands and legs.The signals are interpreted and translated into cursor movements, offering the user an alternate Brain Gate pathway to control a computer with thought,just as individuals who have the ability to move their hands use a mouse. The 'Brain Gate' contains tiny spikes that will extend down about one millimetre into the brain after being implanted beneath the skull,monitoring the activity from a small group of neurons.It will now be possible for a patient with spinal cord injury to produce brain signals that relay the intention of moving the paralyzed limbs,as signals to an implanted sensor,which is then output as electronic impulses. These impulses enable the user to operate mechanical devices with the help of a computer cursor. Matthew Nagle,a 25-year-old Massachusetts man with a severe spinal cord injury,has been paralyzed from the neck down since 2001.After taking part in a clinical trial of this system,he has opened e-mail,switched TV channels,turned on lights
MagnetoenCephaloGraphy (MEG) is a technique for mapping brain activity by recording magnetic fields produced by electrical currents occurring naturally in the brain, using very sensitive magnetometers.
Electrocardiogram i.e ECG gives the exact idea about the proper functioning of the heart by specifying the PQRS waveform.This presentation specifies the methods of ECG measurement which are generally used.
Slides from an invited talk I gave at the MEG Basics series in the winter of 2012. Covers the theory behind signal processing techniques used in magnetoencephalography (MEG), including:
- Signal Space Projection (SSP)
- Signal Space Separation (SSS)
- Temporally-extended Signal Space Separation (tSSS)
- Principle Component Analysis (PCA)
- Independent Component Analysis (ICA)
Study of the release of heat by targeted gold nanoparticles exposed to RF fields. Study the physical properties of gold nanoparticles influence their RF thermal delivery which will aid in the further development of nanoscale materials for the treatment of cancer and various biomedical applications
Modern Approaches to Heart Disease Detection - Carl H. Rosner, CardioMag Imag...marcus evans Network
Carl H. Rosner, CardioMag Imaging, Inc. - Speaker at the marcus evans Medical Device Manufacturing Summit Fall 2012, delivered his presentation entitled Modern Approaches to Heart Disease Detection
Salient features of the book are -
- The book provides a shortcut to understand and remember certain specific formulae and points you require to interpret the 12-lead ECG.
- Treatment protocols (in green boxes) for most of the important conditions are also included.
- View sample ECGs as you read along the topics.
- The content is explained in a very simple language to provide good conceptions, written from a student’s point of view.
- People can gain their belief in the book after going through sample ECGs which would be available at www.themedicalpost.net/ecg
- The book competes with the other books available in the market in simplicity, summaries, treatment protocols, live diagrams and regularly updated sample ECGs on the website.
Emerging MRI and metabolic neuroimaging techniques in mild traumatic brain in...IntesarAldweri
Traumatic brain injury (TBI) is one of the leading causes of death worldwide, and mild traumatic brain injury (mTBI) is the most common traumatic injury.
Epilepsy getting the most out of neuroimaging 2019Felice D'Arco
Lecture presented at the Great Ormond Street Hospital Paediatric Neuroradiology Masterclass 2019 on how to optimize MR imaging in epilepsy with most common epilepsy cases and differential diagnoses and use of multidisciplinary approach in lesion detection.
Review on Feature Extraction and Classification of Neuromuscular DisordersIJMTST Journal
Electromyography is an efficient tool for the diagnosis of neuromuscular diseases. There are wide variety
of neuromuscular diseases that affects the muscles and nervous system, in which the most important are
Amyotrophic Lateral Sclerosis (ALS) and Myopathy. These diseases change the shape and characteristic of
motor unit action potentials (MUAPs). By analyzing the EMG signals and MUAPs neuromuscular diseases can
be diagnosed. This paper gives a brief review of various techniques used in the analysis of EMG signals for
the diagnosis of neuromuscular diseases. Various features that are extracted from the signals in time
domain, frequency domain and time-frequency domain and different classification techniques and their
performance are also studied in this paper
Significance of Brain imaging in Psychiatry. Most of the major Psychiatric disorders are associated with statistically significant differences on various Neuroimaging measures, when comparing groups of patients and controls.
The wavelet packet based filtering/denoising performance is analyzed by using Balance Sparsity-norm & fixed form thresholding (soft &hard) methods where the Mean, Standard Deviation (SD) & Mean Absolute Deviation (MAD) is calculated at different global threshold for healthy, myopathic & neuropathic EMG signals. The intension is to extract the residuals of healthy and diseased EMG signals which provide the significant results for classification of healthy, myopathic & neuropathic EMG signals. The features are extracted or the coefficients are generated using “haar-3”. These two methods have a fairly large accuracy percentage which can be used as a diagnostic tool in medical field. The technique mentioned in this paper is a mathematical tool for the detection of myopathy and neuropathy as compared to the conventional instrumental ones. Hence, it is faster, efficient and robust as it is resistant to environmental hazards.
Micro-Neuro-Sensor Recording of STN Neurons of the Human BrainMangaiK4
Abstract-What cause to the neurons of the human brain cells when they are damaged. They become inactive. So damage to subthalamiuc ucleus (STN) neurons of the human brain causing larger involuntary movements and thereby attacking the Parkinson’s disease (PD). Deep brain stimulation (DBS) of bilateral sub thalamic nuclei (STN) is an efficient method of rehabilitation technique in subjects with advanced idiopathic Parkinson’s (or Parkinson) disease. Accurate targeting of STN neurons and placement of microelectrodes/ (neurosensors) are paramount importance for optimal results after STN-DBS method.In this paper, microminiaturized electrode recordings (MER) of STN neurons were detected in a mean of 3.5 ±1.1 channels on right hemisphere and 3.6 ±1.04 on left hemisphere.Final channel selected were most commonly central seen in 42.3% followed by anterior in 33.7%. When a high current is delivered to STN or GPi neurons of basal ganglia (a component of human brain), causing their inhibition and improved indication of symptoms. It is now known that there is a significant change in the firing pattern and a reorganization of the entire basal ganglia circuit with DBS. The MER of STN neurons has identified a specific high frequency irregular larger amplitude firing patterns seen only in disease states and hence used to detect the neurons of ST nucleus during functional surgery. Micro electrode recording is so useful to confirm the right path but has to be taken in consideration with effects on macro stimulation.
Peripheral nerve ultrasonography in patients with transthyretin amyloidosis MIDEAS
Objective: To systematically study peripheral nerve morphology in patients with transthyretin (TTR)
amyloidosis and TTR gene mutation carriers using high-resolution ultrasonography (US).
Methods: In this prospective cross-sectional study we took a structured history, performed neurological
examination, and measured peripheral nerve cross-sectional areas (CSAs) bilaterally at 28 standard locations
using US. Demographic and US findings were compared to controls.
Results: Peripheral nerve CSAs were significantly larger in 33 patients with familial amyloid polyneuropathy
(FAP) compared to 50 controls, most dramatically at the common entrapment sites (median
nerve at the wrist, ulnar nerve at the elbow), and in the proximal nerve segments (median nerve in
the upper arm, sciatic nerve in the thigh). Findings in 21 asymptomatic TTR gene mutation carriers were
less marked compared to controls, with CSAs being larger only in the median nerve in the upper arm.
Nerve CSAs correlated with abnormalities on nerve conduction studies.
Conclusion: Using US, we confirmed previous pathohistological and imaging reports in FAP of the most
pronounced peripheral nerve thickening in the proximal limb segments.
Significance: Similar to US findings in diabetic and vasculitic neuropathies these predominantly proximal
locations of nerve thickening may be attributed to ischaemic nerve damage caused by poor perfusion in
the watershed zones along proximal limb segments.
https://www.linkedin.com/pulse/ultrasonographic-study-peripheral-nerves-bulgarian-mitja-dobovi%C4%8Dnik?trk=mp-author-card
As we are getting further from the 20th century many historical facts become clearer and clearer. Looking at the past century in perspective helps us to figure out our way forward. Jung and Frankl urged humanity to assimilate the devastation of the two World Wars by taking personal responsibility, and become aware of our projections, such as nationalism. They insist that reason is not enough to prevent future tragedies. These post-World War issues were never dealt with by humanity, just swept under the rug, as in the second half of the 20th century psychiatry identified
with psychopharmacology. Moreover, psychology's self-imposed limitation to the cognitive domain alone, neglecting the study of emotion or introspection is setting the stage for the 21st century repetition of history. The idea is that the current trajectories of both psychiatry and psychology are unsustainable as they direct us towards polarization, thus opening the way for the terrible enantiodromia. The events world-wide such as geographical fragmentation and failure of the nation states are proofs that we, humans have not dealt with our dormant demons.
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
2. The lack of positive findings in mild TBI
(mTBI) and PTSD using conventional
neuroimaging techniques.
New neuroimaging techniques:
magnetoencephalography (MEG) and
diffusion tensor imaging (DTI)
MEG and DTI for mTBI
MEG for PTSD
Differential diagnosis of mTBI and PTSD
3. PTSD and Traumatic brain injury are leading cause of
sustained physical, neurological, cognitive, and behavioral
deficits in military personnel and civilian population.
Differential diagnosis of mild TBI (mTBI) and PTSD is
crucial since they require different treatments, but can be
challenging due to symptom-overlap.
Conventional CT and MRI focus on blood products with
limited sensitivity for diagnosing mTBI and PTSD: Among
civilian mTBI patients with Glasgow Coma Scales of
13, 14, and 15, only 28%, 16%, and 4% showed visible
intracranial lesions with conventional CT or MRI
, respectively. Conventional MRI and CT do not detect
abnormality in PTSD either.
More sensitive neuroimaging techniques, such as MEG and
DTI are needed to detect subtle neuronal injuries due to
mTBI and PTSD
8. Injured brain tissues in mTBI patients generate abnormal low-frequency neuronal
magnetic signal that can be measured and localized by MEG [1],
The cause of the MEG slow-waves in TBI patients is not fully understood. This
issue limits the application of MEG slow-wave detection in the clinical diagnosis of
mTBI.
Invasive Electro-neurophysiological studies on cats showed that polymorphic slow
waves (delta frequency 1-4 Hz) can be produced in gray-matter by lesions in the
white matter. It was concluded that slow-wave generation was the result of de-
afferentation to the cortex [2][3].
We hypothesize that abnormal slow-waves in mTBI patients originate from cortical
gray-matter areas which have experienced de-afferentation due to axonal injuries
in white-matter fibers, similar to findings in animal studies in cats.
We need converging imaging evidence of axonal injury in white-matter fibers that
link to gray-matter areas that generate MEG slow-waves in mTBI patients. We
hypothesize that DTI provide crucial evidence in confirming our assumption.
White-matter tracts injured by mTBI show reduced anisotropy in DTI.
[1]: Lewine et al., AJNR Am.J.Neuroradiol. 20: 857-866, 1999.
[2]: Gloor et al., Neurology 27: 326-333, 1977.
[3]: Ball et al., Clin.Neurophysiol. 43: 346-361, 1977.
9.
10. History: 17-year old, male football player, who suffered 3 mTBIs while
playing football. 1st and 2nd concussions separated by a few weeks, and
3rd a few months later. After the 1st injury: headaches. After the 2nd injury:
headaches, dizziness, and extreme fatigue while performing any mental
task. Following the 3rd concussion: pressure headaches, dizziness, fatigue,
altered sleep (taking longer to fall asleep), and changes in speech. Multiple
CT and MRI scans all negative
11. History: 43-year-old male soldier who suffered blast-induced mild TBI due to anti-tank
mine. He lost consciousness for less than 1 minute. Following the incident, he
experienced persistently the following symptoms: dizziness, fatigue, irritability, affective
speech, memory loss, changes in social personality, balance problem, and headaches.
MRI did not reveal abnormalities
Right temporal-occipital
junction exhibits both
abnormal MEG slow-
waves as well as reduced
DTI signal
12. The multimodal imaging approach with MEG and DTI is substantially
more sensitive than conventional CT and MRI in detecting subtle
neuronal injury in mTBI.
MEG slow-waves accrue from de-afferentation in cortical gray-matter
neurons that connect to white-matter fibers with axonal injury.
MEG slow-waves in TBI patients can show a focal, multi-focal, and/or
diffuse pattern with multiple generators, indicating more diffuse cortical
de-afferentation due to axonal injury.
Reduced anisotropy in local white-matter fiber tracts (as measured by
DTI) will lead to focal abnormal delta-waves (as measured by MEG) from
cortical gray-matter overlaid with these local tracts. On the other
hand, reduced anisotropy in major white-matter fiber tracts will lead to
multi-focal or distributed patterns of abnormal delta-waves generated
from multiple cortical gray-matter areas that can be remote in location
but functionally and structurally linked by the injured major white-
matter fibers.
In some cases, abnormal MEG delta-waves were observed in mild TBI
patients without DTI abnormality, indicating that MEG may be more
sensitive than DTI in diagnosing mild TBI.
13.
14. Patients mTBI without PTSD show: abnormal
MEG slow-waves, abnormal DTI.
Patients with PTSD without mTBI show:
hyper-activated ACC, amygdala, and
hippocampus network.
Patients with both mTBI and PTSD show:
abnormal MEG slow-waves, abnormal
DTI, and hyper-activated network including
ACC, amygdala, and hippocampus.