This document provides an overview of neurofeedback. It begins by discussing how understanding brain functions can improve mental health treatment. It then discusses advances in neuroimaging technology and brain plasticity. Several significant researchers in neurofeedback are mentioned, including their studies on EEG brainwave training. Neurofeedback is defined as using EEG to train individuals to control their brain activity. Research applications and controversies are reviewed, as well as gaps that require more investigation. The document provides background on neurofeedback history, techniques, applications and current perspectives.
Let’s master the digital toolkit to harness lifelong neuroplasticitySharpBrains
Four leading pioneers of applied neuroplasticity helped us navigate best practices to harness most promising non-invasive neurotechnologies, such as cognitive training, mindfulness apps, EEG and virtual/ augmented reality.
--Chair: Linda Raines, CEO of the Mental Health Association of Maryland
--Dr. Michael Merzenich, winner of the 2016 Kavli Prize in Neuroscience
--Dr. Judson Brewer, Founder & Research Lead of Claritas Mindsciences
--Tan Le, CEO of Emotiv
--Dr. Andrea Serino, Head of Neuroscience at MindMaze
Learn more at sharpbrains.com
Teaching Techniques: Neurotechnologies the way of the future (Stotler, 2019)Jacob Stotler
Presenting alternative to drugs from nuerotechnologies and teaching about clinical use of neurothreapy and therapeutic effectiveness of biological aspects of the use of clinical technologies.
Brain Computer Interface for User Recognition And Smart Home ControlIJTET Journal
This project discussed about a brain controlled biometric based on Brain–computer interfaces (BCI). BCIs are systems that can bypass conventional channels of communication (i.e., muscles and thoughts) to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. With these commands a biometric technology can be controlled. The intention of the project work is to develop a user recognition machine that can assist the work independent on others. Here, we are analyzing the brain wave signals. Human brain consists of millions of interconnected neurons. The patterns of interaction between these neurons are represented as thoughts and emotional states. According to the human thoughts, this pattern will be changing which in turn produce different electrical waves. A muscle contraction will also generate a unique electrical signal. All these electrical waves will be sensed by the brain wave sensor and it will convert the data into packets and transmit through Bluetooth medium. Level analyzer unit (LAU) will receive the brain wave raw data and it will extract and process the signal using Mat lab platform. Then the control commands will be transmitted to the robotic module to process. With this entire system, we can operate the home application according to the human thoughts and it can be turned by blink muscle contraction.
Beyond nerve repair, looking at the central mechanism in adaptation, compensation, remodelling and plasticity in upper and lower motor neurone lesions. New neural pathways in motor control for grasp.
Let’s master the digital toolkit to harness lifelong neuroplasticitySharpBrains
Four leading pioneers of applied neuroplasticity helped us navigate best practices to harness most promising non-invasive neurotechnologies, such as cognitive training, mindfulness apps, EEG and virtual/ augmented reality.
--Chair: Linda Raines, CEO of the Mental Health Association of Maryland
--Dr. Michael Merzenich, winner of the 2016 Kavli Prize in Neuroscience
--Dr. Judson Brewer, Founder & Research Lead of Claritas Mindsciences
--Tan Le, CEO of Emotiv
--Dr. Andrea Serino, Head of Neuroscience at MindMaze
Learn more at sharpbrains.com
Teaching Techniques: Neurotechnologies the way of the future (Stotler, 2019)Jacob Stotler
Presenting alternative to drugs from nuerotechnologies and teaching about clinical use of neurothreapy and therapeutic effectiveness of biological aspects of the use of clinical technologies.
Brain Computer Interface for User Recognition And Smart Home ControlIJTET Journal
This project discussed about a brain controlled biometric based on Brain–computer interfaces (BCI). BCIs are systems that can bypass conventional channels of communication (i.e., muscles and thoughts) to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. With these commands a biometric technology can be controlled. The intention of the project work is to develop a user recognition machine that can assist the work independent on others. Here, we are analyzing the brain wave signals. Human brain consists of millions of interconnected neurons. The patterns of interaction between these neurons are represented as thoughts and emotional states. According to the human thoughts, this pattern will be changing which in turn produce different electrical waves. A muscle contraction will also generate a unique electrical signal. All these electrical waves will be sensed by the brain wave sensor and it will convert the data into packets and transmit through Bluetooth medium. Level analyzer unit (LAU) will receive the brain wave raw data and it will extract and process the signal using Mat lab platform. Then the control commands will be transmitted to the robotic module to process. With this entire system, we can operate the home application according to the human thoughts and it can be turned by blink muscle contraction.
Beyond nerve repair, looking at the central mechanism in adaptation, compensation, remodelling and plasticity in upper and lower motor neurone lesions. New neural pathways in motor control for grasp.
In this presentation I introduce TMS usage in neurocognitive research for the MSc course at Bangor School of Psychology. Note that some of the material comes from other useful presentations found online.
Slides from the April 21st, 2016 virtual lecture where three well-recognized experts and pioneers–UCLA’s Dr. Bob Bilder, Emotiv’s Tan Le, and SharpBrains’ Alvaro Fernandez–discussed 25 fundamental facts around neuroplasticity, Alzheimer’s prevention, brain training, meditation, neurofeedback, neurogenesis, brain supplements, and more. Available online from anywhere with an Internet connection, this virtual lecture provided participants with the must-know foundation to understand the value and the limitations of emerging brain science and related technologies, empowering them to navigate the growing stream of news articles, research reports and marketing claims.
qEEG AND Neurofeedback in mTBI -European Neuro Convention 2017Derek Jones
So called Mild Traumatic Brain Injury (mTBI) has been highlighted particularly in relation to head injuries as it is hard to quantify the severity of the injury and predict the likelihood of significant long term consequences. Whilst this has been in the news in relation to professional sport it is a significant clinical issue for the population at large. Diagnostic imaging has typically not proved reliable in identifying mTBI. We have known for a very long time that the EEG signal reflects the collective electrical activity of neurons firing in the brain even if the functional implications were not understood. Recent work with so called qEEG (Quantitative EEG) is showing promise as a way to correctly discriminate the brain injured person from ‘normals’. This presentation will look at some recent research in this area and the approaches to signal processing that make this area promising.
Machine learning applications in clinical brain computer interfacingJenny Midwinter
Brain computer interfaces (BCIs) provide alternative communication channels from the brain to external devices for severely disabled individuals and can be used to induce and guide adaptive plasticity for recovery after central nervous system trauma. Clinical BCI effectiveness depends on robust and accurate modeling of the relationship between brain signals and behaviour. Dr. Boulay will give a brief survey of BCI technologies and discuss common BCI paradigms and implementations, with an emphasis on clinical BCI brain signals and machine-learning applications.
* From the Ottawa AI/ML Meetup June 2018.
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
Medical and pharmaceutical applications of mobile EEG (brain scanning)andfaulkner
Uses of inexpensive, personal, commercially-available, and portable EEG devices for medical research. Testing of new drugs, patient-specific drug selection, monitoring of patient progress, augmentation of treatments (via neurofeedback), prediction of 'attacks' in mental illnesses (e.g. panic disorder), and better diagnoses of neurological disorders.
“The ability of neurons to change their function, chemical profile or structure is referred to as neuroplasticity.”
Neuroplasticity includes :
- Habituation
- Learning & memory
- Cellular recovery after injury
In this presentation I introduce TMS usage in neurocognitive research for the MSc course at Bangor School of Psychology. Note that some of the material comes from other useful presentations found online.
Slides from the April 21st, 2016 virtual lecture where three well-recognized experts and pioneers–UCLA’s Dr. Bob Bilder, Emotiv’s Tan Le, and SharpBrains’ Alvaro Fernandez–discussed 25 fundamental facts around neuroplasticity, Alzheimer’s prevention, brain training, meditation, neurofeedback, neurogenesis, brain supplements, and more. Available online from anywhere with an Internet connection, this virtual lecture provided participants with the must-know foundation to understand the value and the limitations of emerging brain science and related technologies, empowering them to navigate the growing stream of news articles, research reports and marketing claims.
qEEG AND Neurofeedback in mTBI -European Neuro Convention 2017Derek Jones
So called Mild Traumatic Brain Injury (mTBI) has been highlighted particularly in relation to head injuries as it is hard to quantify the severity of the injury and predict the likelihood of significant long term consequences. Whilst this has been in the news in relation to professional sport it is a significant clinical issue for the population at large. Diagnostic imaging has typically not proved reliable in identifying mTBI. We have known for a very long time that the EEG signal reflects the collective electrical activity of neurons firing in the brain even if the functional implications were not understood. Recent work with so called qEEG (Quantitative EEG) is showing promise as a way to correctly discriminate the brain injured person from ‘normals’. This presentation will look at some recent research in this area and the approaches to signal processing that make this area promising.
Machine learning applications in clinical brain computer interfacingJenny Midwinter
Brain computer interfaces (BCIs) provide alternative communication channels from the brain to external devices for severely disabled individuals and can be used to induce and guide adaptive plasticity for recovery after central nervous system trauma. Clinical BCI effectiveness depends on robust and accurate modeling of the relationship between brain signals and behaviour. Dr. Boulay will give a brief survey of BCI technologies and discuss common BCI paradigms and implementations, with an emphasis on clinical BCI brain signals and machine-learning applications.
* From the Ottawa AI/ML Meetup June 2018.
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
Medical and pharmaceutical applications of mobile EEG (brain scanning)andfaulkner
Uses of inexpensive, personal, commercially-available, and portable EEG devices for medical research. Testing of new drugs, patient-specific drug selection, monitoring of patient progress, augmentation of treatments (via neurofeedback), prediction of 'attacks' in mental illnesses (e.g. panic disorder), and better diagnoses of neurological disorders.
“The ability of neurons to change their function, chemical profile or structure is referred to as neuroplasticity.”
Neuroplasticity includes :
- Habituation
- Learning & memory
- Cellular recovery after injury
Brain mapping can capture a window of brain activity. The brain is a multi-billion neuron organ. Neurons communicate with every cell in your body. It is carried by electrical impulses that form brain waves. This application helps us analyze your brainwaves and find ways to improve communication across different brain regions.
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.
این پاورپوینت خلاصه شده فصل شش یکی از کتابهای مربوط به علوم اعصاب است. این پاورپوینت در کارگاه تخصصی توانبخشی دیداری عصبی توسط دکتر علیزاده ارائه شده است.
Biopsychology is the study of why the brain is the command center and how it influences behaviors, thoughts and feelings. This field of psychology has gained popularity in recent years, and much is being learned about the human mind.
Use Your Mind to Change Your Brain: Tools for Cultivating Happiness, Love an...Rick Hanson
Tools for well-being, grounded in cutting-edge science and the wisdom of the world’s contemplative traditions.
More resources, freely offered at http://www.rickhanson.net
2. Introduction
Understanding certain functions of the
brain and factors that affect its
development has major implications on
how we approach assessment,
treatment and attitudes towards those
considered to be psychologically
dysfunctional or impaired.
Why is this important?
It is only when we have a better
understanding of the complex inter-
workings of the brain that more effective
approaches to treatment and prevention
within the mental health service delivery
system can best serve the general
public, which, in turn, has ripple effects
in other public service arenas.
3. Neuroimaging and advances in
computerized neurophysiology
(QEEG)
Imaging technology
(functional magnetic
resonance imaging, in vivo
imaging and PET scans) have
advanced researchers’ ability
to “apprehend brain activity
during cognitive tasks”
(Masterpasqua & Healy, 2003, p. 652)
4. Refers to the concept that neural connections or brain synapses
are constantly being created or eliminated, all depending on how
often they are used and largely depending on individual actions or
experiences.
Cells in the hippocampus (associated with long and short-term
memory and spatial navigation) continue to form neurons
throughout one’s lifetime.
∗estimated ten billion cells form in each hemisphere in the cerebral
cortex
∗formation is rapid and at its peak and most critical developmental
period, is believed to produce 250,000 neurons per minute.
Brain plasticity/“Neuroplasticity”
5. Brain plasticity/“Neuroplasticity” cont.
The multitudes of synaptic formation within the cerebral
cortex (more than 100,000 trillion) leads most
researchers to conclude such formations are not the
sole product of genetic programming
∗ The influence of the environment on the
development and direction of synapses adds to the
complexity and differences in cerebral circuitry
within all human beings
(Kolb & Gibbs, 2011, n.p.)
“We are constructed from a genetic blueprint and
born into a world of circumstances about which
we have no choice in our most formative years.
The complex interactions of genes and
environment means that the citizens of our
society possess different perspectives,
dissimilar personalities and varied capacities for
decision making; these are not free-willed
choices of the citizens, these are the hands of
cards we’re dealt.”
(Eagleman, 2011, n.p.)
6. Connectome
Map of connections between
neurons inside a nervous
system
(Gross, 2012)
Perceptions and behaviors are
controlled by inaccessible subroutines
that can be easily perturbed
(Eagleman, 2011, n.p.)
7. In the 1970s and '80s scientists
mapped out all 7,000 connections
between its 300 neurons.
The one and only organism where
entire connectome has been
mapped.
Human Brain-estimated 100
billion neurons in human brain
(Gross, 2012)
C. Elegance worm (one long) millimeter
8. ∗ Current imaging methods use measurements of highly processed blood
flow signals
∗ covers tens of cubic millimeters of brain tissue
∗ estimated 100 million synaptic connections between neurons in a single
cubic millimeter of brain tissue
∗ lacks resolution for scientists to examine individual connections and
microcircuitry
(Eagleman, 2011, n.d.)
Neuroimaging Still Remains “crude” Technology
9. Alternative, non-evasive techniques should be a major consideration
in how mental health treatment services are provided
Individual experiences have significant
impacts on brain development.
Recent studies- psychoactive
medication alters brain development
(Kolb & Gibb, 2011, n.p.)
Like the human body, genetics
provide constructive tools in basic
composition.
Factors- genetic
predispositions/abnormalities +
environmental experiences/exposure +
occurrences of illnesses/injuries = whole
self
Can be modified throughout one’s
lifetime.
(Eagleman, 2011, n.p.), (Kolb & Gibb, 2011, n.p.)
10. The human brain is composed of a
“team of rivals”
(Eagleman, 2011, n.d)
Decisions (major/minor) are made
and based on the outcome of
competition for dominance among
different neural populations
The strength of each neural
population depends on the
strength of the individual
“players” within that population
11. Outcome of the competition can be “tipped”
(Eagleman, 2011, n.d.)
12. ∗ Neurofeedback is an electroencephalographic
(EEG) operant-conditioning training technique that
helps individuals learn to control or change their
brain activity.
∗ “exercise for the brain”
∗ The brain is conditioned to function more
efficiently and effectively using
neurofeedback.
What is Neurofeedback?
13. ∗ Neurofeedback uses a feedback EEG to show the
current electrical patterns in the cortex of the brain.
∗ EEG produced by postsynaptic potentials of
thousands of neurons to reflect specific brain
sources and functions.
∗ Utilizes a baseline EEG to identify abnormal
patterns.
Neurofeedback Defined
14. ∗ Biofeedback is a mind-body therapy.
∗ Biofeedback instruments measure muscle activity,
skin temperature, heart rate, blood pressure, brain
electrical activity and brain blood flow
∗ Biofeedback therapies guide the individual to
facilitate the learning of voluntary control over body
and mind.
Biofeedback vs. Neurofeedback
15. ∗ Neurofeedback is a
specialty field within
biofeedback.
∗ Neurofeedback devotes
itself to training control
over electro-chemical
processes in the human
brain.
Biofeedback vs. Neurofeedback
16. ∗ Neurofeedback is used to treat various neurological
and psychological conditions.
∗ Increases Cognitive Performance.
∗ Most common conditions treated with
Neurofeedback:
∗ Attention Deficit Hyperactivity Disorder (ADHD)
∗ Anxiety
∗ Epilepsy
∗ Addictive Disorders
Neurofeedback as Treatment
17. Hans Berger/physician, neurologist
∗ 1920’s- invented electroencephalogram (EEG), first to record human
brain waves
∗ discovered alpha rhythm (associated with relaxed/awake frequency) first
identified signature of the EEG
Joe Kamiya/psychologist
∗ 1960’s- first to study EEG’s in relation to “felt states” to measure human
awareness regarding their own alpha activity
∗ 1950’s- tested effects of active reinforcement on active alpha rhythm
activity, first form of neurofeedback
∗ Presented findings in Psychology Today (1968, Nov.), “Conscious
control of brain waves”
∗ Research findings not credible by general psychology community due to
reliance on subjective states of awareness/feeling
Significant Researchers
18. Maurice Barry Sterman, PhD/psychologist and neurologist
∗ Used animals in research- removed subjectivity of felt states
∗ Focused on sensorimotor rhythm (SMR) and spindle-burst (high frequency) EEG
activity in animal subjects’ sensorimotor cortex- observable in waking, but physically
still, state.
∗ Form of beta (associated with alertness/vigilenge) training
∗ First to strengthen inhibit functions on behavioral stillness using conditioning methods,
rewards based on SMR spindles levels rising above background activity
∗ Even though human waking EEG activity, in regards to SMR spindle levels, not
replicated as with animal subjects, training philosophy carried over
Joel Lubar, PhD/biopsychologist
∗ First to strengthen inhibit functions with the objective of training toward more normal
frequency activities.
∗ Differed from reward-based training, more non-conditional appeal to the brain
∗ Presented findings in Brain Research (1967)
∗ Promoted EEG normalcy as guiding principle to the use of EEG reinforcement, had
major implications for development of NF.
(Brain and Body Solutions, n.d.), (Othmer, 2008, pp.4,5), (Scarpa & Raine, 2003, pp.217,
218)
Significant Researchers, cont.
19. Relevant Researchers
Adrian Raine, PhD/psychologist & Angela Scarpa, PhD/psychologist
∗ One of the first to research biosocial interactions and
consider the cumulative effects of biological and social
risk factors and how they can result in adverse
psychosocial functioning
∗ Propose that well functioning nervous system is
protective factor that allows for reception towards social
conditioning. Even subtle non-detectable impairments in
frontal lobe functioning can cause deficits in ability to
regulate emotions and executive cognitive functioning
(planning, decision making, future-oriented decision
making)
∗ Called for both biological and psychosocial variables to
“form more complete models of antisocial behavior”
∗ Raine & colleagues: “Social push” hypothesis- if no
concrete psychosocial factors found to contribute to
antisocial behavior, causes most likely biologically rather
than socially based. “Are relatively resistant to socializing
influence”
(Eagleman, 2011), (Scarpa & Raine, 2003, pp.209, 213)
20. Relevant Researchers, cont.
Sebastian Seung, PhD/neuroscientist
∗ Brain wiring pattern/”connectome”
constantly changes as influenced by new
memories and emotional experiences.
∗ Wiring individualistic, theoretically possible
to diagram
“Even doing small parts of the brain now is
going to tell us a lot about brain function.
So one kind of study we would like to do is
to search for these connectopathies, these
abnormal patterns of connection that are
hypothesized to underlie mental disorders
like autism and schizophrenia…My goal is
simply to see what's wrong. That's not, in
itself, a cure, but obviously it's a step
towards finding better treatments.”
∗ Author of "Connectome: How the Brain's
Wiring Makes Us Who We Are"
(Gross, 2012)
21. ∗ William E. Pelham Jr., director of the Center for Children and Families at
Florida International University, called neurofeedback “crackpot charlatanism.”
He warned that embellished claims for neurofeedback may mislead parents to
favor it over other proven options like behavioral therapy and medication
∗ Russell A. Barkley, a professor of psychiatry at the Medical University of
South Carolina and an expert on attention problems, has long denied claims
that neurofeedback can help
∗ Opponents believe that the task itself can become boring, repetitious and lead
to resistance. They do not believe that the results are permanent; can be
costly
∗ Require a well-trained clinician/coach
∗ Is not as well accepted as most pharmaceutical solutions
∗ Is still not very widespread
∗ Some researchers think that there are better ways to control brain waves
other than forcing the waves into new patterns
∗ Not covered by insurance
Differences in Perspectives/Controversy
22. ∗ National Institute of Mental Health recently sponsored its first study of
neurofeedback for ADHD
∗ Better visuals, improved feedback readings
∗ now being offered at various chemical dependency treatment facilities as an
evidence based treatment method; also offered as treatment for co-occurring
addiction and eating disorders
∗ used by athletes to train their brains to function better during competition
∗ The New Mind Brain Mapping System
∗ integrated Bio-Psycho-Social Assessment system
∗ Within the last 5–10 years, neurofeedback has taken a new approach, in taking a
second look at deep states.
• Alpha-theta training has been used in the treatment of alcoholism and anxiety
• Most recent development is the Coordinated Allocation of Resource Model
(CAR) of brain functioning
∗ This approach showed improved auditory memory, reading memory in
individuals with learning disabilities and traumatic brain injury
Recent Findings
23. ∗ In 2010, a study provided the first
evidence of neuroplastic changes
occurring directly after natural brainwave
training. Half an hour of voluntary control
of brain rhythms was shown to be
sufficient to induce a lasting shift in
cortical excitability and intracortical
function
∗ Ros et al. observed that the cortical
response to transcranial magnetic
stimulation (TMS) was significantly
enhanced after neurofeedback and
persisted for at least 20 minutes
Recent Findings
24. ∗ Most of the research on Neurofeedback is
centralized around the treatment of ADHD.
∗ Neurofeedback is viewed at times as lacking
efficacy or not being empirically supported.
∗ More research is needed on issues such as
response rates, predictors of positive response, the
role of specific and nonspecific treatment effects in
outcome, and side effects of Neurofeedback
treatment.
Gaps/future directions for research
25. ∗ Expense, time and labor intensive nature of
Neurofeedback makes the treatment unappealing
(typical course of TX is 20-40 visits or sessions).
∗ Neurofeedback treatment would benefit from more
targeted treatment and measurements, as well as
better overall brain mapping.
∗ Improve Data Collection and Analysis.
Gaps/Future Research
26. ∗ Brain and Body Solutions. (n.d.). The history of neurofeedback - Sterman/Lubar studies.
Retrieved August 8, 2012, from
http://www.brainandbodysolutions.com/the-history---stermanlubar-studies.html
∗ Digital Journal. (2012). The new mind brain mapping system revolutionizes the
way clinicians and neurofeedback practicioners work with clients [Press release].
Retrieved from http://www.digitaljournal.com/pr/797607
∗ Eagleman, D. (2011). Blameworthiness- wrong question. In Eagleman, D. (Ed.), Incognito:
The Secret Lives of the Brain. [Electronic version]. United States: Pantheon Books
∗ Ellison, K. (2010). Neurofeedback gains popularity and lab attention. The New York Times.
Retrieved from
http://www.nytimes.com/2010/10/05/health/05neurofeedback.html?pagewanted=all
∗ Gevensleben, H., Holl, B., Albrecht, B., Vogel, C., Schlamp, D., Kratz, O., et al. (2009). Is
neurofeedback an efficacious treatment for ADHD? A randomized controlled clinical trial.
Journal of Child Psychology and Psychiatry, 50(7): 780–789.
∗ Gross, T. (Host, Co-Executive Producer). (2012, February 29). Fresh Air: The man working
to reverse-engineer your brain. [Radio Broadcast]. Philadelphia, Pa: WHYY-FM/National
Public Radio
∗ Kolb, B. & Gibb, R. (2011, November). Brain plasticity and behaviour in the developing
brain. Journal of the Canadian Academy of Child and Adolescent Psychiatry, 20(4): 265–
276
References
27. ∗ Masterpasqua, F. & Healey, K. N. (2003). Neurofeedback in psychological
practice. Professional Psychology: Research and Practice, 34(6): 652-656.
∗ Othmer, S. (2008). Introduction to QEEG and neurofeedback: Advanced theory
and applications. In Budzynski, T., Evans, J. R., & Abarbanel, A. (Eds.),
Neuromodulation Technologies: An Attempt at Classification (4th
, pp. 3-26).
Amsterdam: Elsevier.
∗ Ros T., Moniek, M., Ruge, D., Gruzelier, J., & Rothwell, J. C. (2010).
Endogenous control of waking brain rhythms induces neuroplasticity in
humans. European Journal of Neuroscience, 31 (4).
∗ Thornton, K. E., & Carroll, C. (2010). The coordinated allocation of resource
(CAR) model intervention for reading problems. Neuroconnections, 8-16.
References (cont)
Editor's Notes
The works of the following researchers will have significant impact on NF Tx, guiding how to effectively use this approach that will hopefully give it legitimacy
It has only been within the past couple decades that neural-scientists have been able to come to a more comprehensive understanding of the brain and ability to map out where certain functions are assigned through advances in neuroimaging
in combination with vast research on human behavior has contributed to current understandings of brain adaptability or “plasticity” that debunks previous schools of thought that brain development is the “simple unfolding of a genetic blueprint”, (Kolb & Gibbs, 2011, n.p.) but is rather a more complex and individually unique culmination of genetic and environmental factors.
The creation of neurons in the developing brain reaches its peak during pre-natal development and is estimated to be complete at five months; however,
may only provide general outlines of neural connections in the brain.
We have each of these hundred billion neurons with thousands of connections to other neurons. Imagine traffic patterns in a major city like NYC, each route take by a specific car (or information) is affected by the routes of other cars. So if one car decides to take a left on a specific street, it affects the routes of other cars on that street and they, in turn, affect the route of that car.
Took precise slices of a cubic millimeter of the brain and used computer composite to count and map out the connections. Compare that to the estimated 100 billion neurons in human brain. There's no way to go through all those images for a cubic millimeter of brain, there's so much data. But now we have computers that are getting better at seeing.
Let alone exactly how environmental factors affects them, such as psychotropic medication
Most traditional approaches to treating mental health disorders or substance abuse disorders do not, as a general rule, take into account even with extensive studies that make such connections.
Such as pre-frontal cortex, important in rational decision-making and impulse control.
This presents concerns with young children on psychotropic medications, since their effects on the frontal region of the brain “appear to be long-lasting or permanent and can influence brain plasticity in adulthood,” (Kolb & Gibb, 2011).
Modern medicine encompasses a vast arsenal of treatments and approaches from the routine check-ups to surgical procedures, medication and therapies that, in best practice, is individualized according to the patient’s needs and reactions to specific treatments. Mental health should also take the same approach, instead of relying on traditional methods of cognitive therapy and medication, adopt new methods to address areas of weakness that ultimately effect the overall functioning of the human mind.
Conditional-ACL injury never completely healed/TBI or childhood trauma
Dispositional-angry/unpredictable, found out going to be traded/distracted, future oriented/calculated
As SW’s-must recognize the forces that tip the scales against vuln. Populations (BPA-neurotoxin) and promote utilization of tools/tx’s that can tip the scale back in the favor of healthy development/functioning
affirmative findings of human awareness to test conscious control
Which is far from occurring with current technology