Listen to the full podcast here Jay Gunkelman Podcast
This week we’re joined by QEEG Diplomate (yes, that’s a term!) and founder of Brain Science International Jay Gunkelman, to talk Electroencephalography. After analyzing over a half-million EEG scans, Jay has a pretty robust set of human brain data at his disposal… And he uses that body of knowledge to guide the work of psychiatric and other health professionals who make proscriptive recommendations about patients’ brains.
This is the PowerPoint “Medication Failure: EEG/qEEG Findings Provide Evidence” as presented at ISNR Conference Workshop 20 September 21, 2013
Presented by:
Ronald J. Swatzyna, Ph.D., L.C.S.W.
The Tarnow Center for Self-Management
drron@tarnowcenter.com
Vijayan K. Pillai, Ph.D.
The University of Texas at Arlington
pillai@uta.edu
Nijmegen, March 26th, 2013 – A study published today in Biological Psychiatry sheds new light on the increasing rates (prevalence) of attention-deficit/hyperactivity disorder, known as ADHD. Children with ADHD have problems with inattention, distractibility, disorganization, impulsiveness, and overactivity. This study found that “sunny” regions with high solar intensity, such as the US states of California, Arizona, and Colorado, and countries like Spain and Mexico have lower prevalence of ADHD. An apparent protective effect of sunlight accounted for 34-57% of the variance in ADHD prevalence. The authors speculate that this may be related to sunlight’s effects on preventing circadian rhythm (“biological clock”) disturbances. These results suggest ways to prevent or treat ADHD for a substantial sub-group of patients…
Read the full PDF paper “Geographic Variation in the Prevalence of Attention-Deficit/Hyperactivity Disorder: The Sunny Perspective” by Martijn Arns, Kristiaan B. van der Heijden, L. Eugene Arnold, and J. Leon Kenemans.
There is an on-going dispute regarding de-artifacting methods used in qEEG. Though there are vested interests counseling against the use of modern techniques to remove artifact while leaving the underlying EEG intact, there are also those who have specialized in the area that can provide a detailed reply to the vested interests. Just such a reply was posted recently in a commercial list server, and we got the author’s permission to re-post the discussion on the qEEGSupport.com website in a non-commercial publicly accessible form for all to see.
It specifically points to the fact that the phase changes seen are due to removal of artifact, not the distortion of the underlying EEG, which has residual subtle artifacts remaining if processed with classical approaches.
If you cut time segments out of the EEG to remove artifacts, you also remove the underlying connectivity information, splicing discontinuous microstates together destroys the underlying time series.
In the give and take of the real world of neuroscience, the need to provide a valid time-series showing the connectivity of the neural networks, yet free of artifact, is driving the need to switch to more modern techniques than snipping out segments of time. If you want to distort the timeline of the EEG (phase) just cut and paste lots of EEG together in one second chunks.
The neuroscience community will undoubtedly continue to discuss these issues, but the need for clean valid EEG is driving the field to these newer techniques, and they are performing well under the scrutiny.
Jay Gunkelman
William Bosl1,2*, Adrienne Tierney3,4, Helen Tager-Flusberg5, Charles Nelson1,4
Abstract
Background: Complex neurodevelopmental disorders may be characterized by subtle brain function signatures early in life before behavioral symptoms are apparent. Such endophenotypes may be measurable biomarkers for later cognitive impairments. The nonlinear complexity of electroencephalography (EEG) signals is believed to contain information about the architecture of the neural networks in the brain on many scales. Early detection of abnormalities in EEG signals may be an early biomarker for developmental cognitive disorders. The goal of this paper is to demonstrate that the modified multiscale entropy (mMSE) computed on the basis of resting state EEG data can be used as a biomarker of normal brain development and distinguish typically developing children from a group of infants at high risk for autism spectrum disorder (ASD), defined on the basis of an older sibling with ASD.
Methods: Using mMSE as a feature vector, a multiclass support vector machine algorithm was used to classify typically developing and high-risk groups. Classification was computed separately within each age group from 6 to 24 months.
Washington, DC, Jul 18 – Congressman Mike Thompson (CA-1), co-chair of the bipartisan Military Veterans Caucus, today again secured the passage of his bipartisan amendment with Congressman Pete Sessions (TX-32) to expedite new and innovative treatments to our nations’ veterans and active duty soldiers suffering from Traumatic Brain Injuries (TBI) and Post-Traumatic Stress Disorder (PTSD). This is the second time the House has passed the amendment. In May, the TBI treatment expansion initiative was adopted as a House amendment to the National Defense Authorization Act (NDAA) for Fiscal Year 2013 (H.R. 4310), however the Senate has yet to take up this bill. Today it was passed as an amendment to H.R. 5856, the Department of Defense (DOD) Appropriations Act for Fiscal Year 2013. The amendment passed by voice vote. The House will vote on H.R. 5856 later this week.
“Our troops and veterans have earned the very best treatment and care that we can provide,” said Thompson. “But sometimes the best treatments aren’t available at military and veteran medical facilities. My amendment will make sure that our heroes who return from combat with TBI or PTSD have access to the highest quality care our nation has to offer. I will keep introducing this legislation until it is law. It’s what our heroes have earned.”
“I am pleased that our colleagues have joined us in recognizing the importance of providing treatment options not currently available within military and veteran medical facilities to those who return from combat with TBI or PTSD,” said Sessions. “As we approach the Memorial Day holiday, I believe we can best honor our nation’s active duty soldiers and veterans by ensuring that their health is a top priority and that they have access to the most effective treatments available.”
Many have heard experts in the neurofeeback field state vehemently that the “ICA deartifacting ruins the EEG”, and that “remontaging to a Laplacian montage ruins coherence”. There are internet tutorials attempting to support these opinions. This self-publication on-line on a commercial site is not the same as peer review, and many publish bad opinions without an alternative approach even considered.
Rather than engage in the meaningless back and forth of mere opinions, I thought it was better to wait for the decision of the jury.. a jury of our peers inherent to the peer reviews in professional publications seen in the field of neuroscience. I comfortably accept the judgment of the field’s journal’s editors.
Harvard’s famous Electroencephalographer, Frank Duffy M.D. just published a large scale well designed study. Some of the key aspects in the paper are highlighted and discussed below:
“Remaining eye blink and eye movement artifacts, which may be surprisingly prominent even during the eyes closed state, were removed by utilizing the source component technique [42, 43] as implemented in the BESA (BESA GmbH, Freihamer Strasse 18, 82116 Gräfelfing Germany) software package”
This last year we lost an old friend, Bill Hudspeth…. William J Hudspeth, PhD. He scientifically contributed to understanding the EEG of maturation, and his multivariate connectivity eigenvector work is still ahead of many others in modeling brain function. We lost a real contributor.
In his later years he was treated for hypertension with Reserpine. I recall Bill’s dehydration in Arizona at an ISNR meeting when I carried him out of the hall during a syncopal spell. He was not well conmtrolled on his diuretic. Reserpine is rarely used in the management of hypertension today, as it is a second-line adjunct agent for patients who are poorly controlled on a diuretic, when cost is an issue. It is an inexpensive and effective antihypertensive, though not without a substantial potential for side-effects, which has it banned in England.
Martijn Arns • Wilhelmus Drinkenburg • J. Leon Kenemans
Abstract In ADHD several EEG biomarkers have been described before, with relevance to treatment outcome to stimulant medication. This pilot-study aimed at personalizing neurofeedback treatment to these specific sub-groups to investigate if such an approach leads to improved clinical outcomes. Furthermore, pre- and post-treatment EEG and ERP changes were investigated in a sub-group to study the neurophysiological effects of neurofeedback. Twenty-one patients with ADHD were treated with EEG-informed neurofeedback and post-treatment effects on inattention (ATT), hyperactivity/impulsivity (HI) and comorbid depressive symptoms were investigated. There was a significant improvement for both ATT, HI and comorbid depressive complaints after QEEG-informed neurofeedback. The effect size for ATT was 1.78 and for HI was 1.22. Furthermore, anterior individual alpha peak frequency (iAPF) demonstrated a strong relation to improvement on comorbid depressive complaints. Pre- and post-treatment effects for the SMR neurofeedback sub-group exhibited increased N200 and P300 amplitudes and decreased SMR EEG power post-treatment.
This pilot study is the first study demonstrating that it is possible to select neurofeedback protocols based on individual EEG biomarkers and suggests this results in improved treatment outcome specifically for ATT, however these results should be replicated in further controlled studies. A slow anterior iAPF at baseline predicts poor treatment response on comorbid depressive complaints in line with studies in depression. The effects of SMR neurofeedback resulted in specific ERP and EEG changes.
Read the full text here The Effects of QEEG-Informed Neurofeedback in ADHD:
An Open-Label Pilot Study – This article is published with open access at Springerlink.com Applied Psychophysiology and Biofeedback. doi: 10.1007/s10484-012-9191-4
The following link to the article “Movement during brain scans may lead to spurious patterns” contains peer reviewed hard evidence of a clear cut case of poor deartifacting and excessively short recording times combining to create artifactual findings… findings that had high reliability within the data set, but which had results which were determined by artifact (movement). Even bad data can be repeatable.
This paper brings into clear question the commonly taught model of short and long distance connectivity which has been taught as a “cortical-cortical connectivity” issue, when many have pointed to the logical fallacy to this theory seen in the International Federation of Clinical Neurophysiology position paper (Basic Mechanisms of Cerebral Rhythmic Activities) on EEG generators, which showed that cutting cortical-cortical connections did not alter coherence (making the theory false).
I have presented this to the people in the field in an effort to correct the “cortical-cortical connectivity” theory – that has been promoted.
I hope the two compartmental cortical-cortical connectivity theory will fade away, especially as publications like this and the IFCN position paper point in a different direction.
Jay
More Reading: Control of Spatiotemporal Coherence of a Thalamic Oscillation by Corticothalamic Feedback Science 1 November 1996:Vol. 274 no. 5288 pp. 771-774 DOI: 10.1126/science.274.5288.771
Movement during brain scans may lead to spurious patterns from Simons Foundation Autism Research Initiative (SFARI)