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Homeostatic Normalization Of Alpha Brain Rhythms Within The Default-Mode Network And Reduced Symptoms In Post-Traumatic Stress Disorder Following A Randomized Controlled Trial Of Electroencephalogram Neurofeedback., Andrew A Nicholson, Maria Densmore, Paul A Frewen, Richard W J Neufeld, Jean Theberge, Rakesh Jetly, Ruth A Lanius, Tomas Ros
Homeostatic Normalization Of Alpha Brain Rhythms Within The Default-Mode Network And Reduced Symptoms In Post-Traumatic Stress Disorder Following A Randomized Controlled Trial Of Electroencephalogram Neurofeedback., Andrew A Nicholson, Maria Densmore, Paul A Frewen, Richard W J Neufeld, Jean Theberge, Rakesh Jetly, Ruth A Lanius, Tomas Ros
Department of Medicine Publications
Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8-12 Hz) rhythms. We conducted a 20-session, double-blind, randomized controlled trial of alpha desynchronizing neurofeedback in patients with post-traumatic stress disorder over 20 weeks. Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (
The Time For Translation Of Mobile Brain And Body Imaging To People With Stroke Is Now, Brian Greeley, Grant Hanada, Lara A Boyd, Sue Peters
The Time For Translation Of Mobile Brain And Body Imaging To People With Stroke Is Now, Brian Greeley, Grant Hanada, Lara A Boyd, Sue Peters
Physical Therapy Publications
No abstract provided.
Cortical Beta Oscillations Are Associated With Motor Performance Following Visuomotor Learning, Svenja Espenhahn, Bernadette C.M. Van Wijk, Holly E. Rossiter, Archy O. De Berker, Nell D. Redman, Jane Rondina, Joern Diedrichsen, Nick S. Ward
Cortical Beta Oscillations Are Associated With Motor Performance Following Visuomotor Learning, Svenja Espenhahn, Bernadette C.M. Van Wijk, Holly E. Rossiter, Archy O. De Berker, Nell D. Redman, Jane Rondina, Joern Diedrichsen, Nick S. Ward
Brain and Mind Institute Researchers' Publications
© 2019 The Authors People vary in their capacity to learn and retain new motor skills. Although the relationship between neuronal oscillations in the beta frequency range (15–30 Hz) and motor behaviour is well established, the electrophysiological mechanisms underlying individual differences in motor learning are incompletely understood. Here, we investigated the degree to which measures of resting and movement-related beta power from sensorimotor cortex account for inter-individual differences in motor learning behaviour in the young and elderly. Twenty young (18–30 years) and twenty elderly (62–77 years) healthy adults were trained on a novel wrist flexion/extension tracking task and subsequently retested …
Understanding The Neural Bases Of Implicit And Statistical Learning, Laura J. Batterink, Ken A. Paller, Paul J. Reber
Understanding The Neural Bases Of Implicit And Statistical Learning, Laura J. Batterink, Ken A. Paller, Paul J. Reber
Brain and Mind Institute Researchers' Publications
© 2019 Cognitive Science Society, Inc. Both implicit learning and statistical learning focus on the ability of learners to pick up on patterns in the environment. It has been suggested that these two lines of research may be combined into a single construct of “implicit statistical learning.” However, by comparing the neural processes that give rise to implicit versus statistical learning, we may determine the extent to which these two learning paradigms do indeed describe the same core mechanisms. In this review, we describe current knowledge about neural mechanisms underlying both implicit learning and statistical learning, highlighting converging findings between …
Expert And Crowd-Sourced Validation Of An Individualized Sleep Spindle Detection Method Employing Complex Demodulation And Individualized Normalization, Laura B. Ray, Stephane Sockeel, Melissa Soon, Arnaud Bore, Ayako Myhr, Bobby Stojanoski, Rhodri Cusack, Adrian M. Owen, Julien Doyon, Stuart M. Fogel
Expert And Crowd-Sourced Validation Of An Individualized Sleep Spindle Detection Method Employing Complex Demodulation And Individualized Normalization, Laura B. Ray, Stephane Sockeel, Melissa Soon, Arnaud Bore, Ayako Myhr, Bobby Stojanoski, Rhodri Cusack, Adrian M. Owen, Julien Doyon, Stuart M. Fogel
Anatomy and Cell Biology Publications
A spindle detection method was developed that: (1) extracts the signal of interest (i.e., spindle-related phasic changes in sigma) relative to ongoing "background" sigma activity using complex demodulation, (2) accounts for variations of spindle characteristics across the night, scalp derivations and between individuals, and (3) employs a minimum number of sometimes arbitrary, user-defined parameters. Complex demodulation was used to extract instantaneous power in the spindle band. To account for intra- and inter individual differences, the signal was z-score transformed using a 60 s sliding window, per channel, over the course of the recording. Spindle events were detected with a z-score …