Thomas Collura
Steve Warner
Jeff Reich
Dolores Gaxiola
J. Michael Griffin
Richard McAlister
McGill Scott
John Demos
Penijean Gracefire
Bill Mrklas
Mark Smith
Dick Genardi
Leonardo Mascaro
Thomas Brownback
Thomas Feiner
David Cantor
Andre Keizer
Joseph Guan -Tech
Christen Stahl
Jeff Tarrant
Debora Joy Elliott
Jacob Elliott
Wes Center
Rich Davis
Lori Miller
Giuseppe Chiarenza
Yvonne Tate
Lisa Black
Kathie Schofield
Doron Todder
Jay Gattis
Donna Creasy
Kristen Elliott
Dayna NaverResources
The emergence of abnormal hypersynchronization in the anatomical structural network of human brain
by Yan and Li Abstract Brain activity depends on transient interactions between segregated neuronal populations. While synchronization between distributed neuronal clusters reflects the dynamics of cooperative patterns, the emergence of abnormal cortical hypersynchronization is typically associated with spike-wave discharges, which are characterized by a sudden appearance of synchronous around 3 Hz large amplitude spike-wave discharges [...]
read more »Evidence-Based Information on the Clinical Use of Neurofeedback for ADHD
by Moriyama et al Abstract Neurofeedback (NF) is a training to enhance self-regulatory capacity over brain activity patterns and consequently over brain mental states. Recent findings suggest that NF is a promising alternative for the treatment of attention-deficit/hyperactivity disorder (ADHD). We comprehensively reviewed literature searching for studies on the effectiveness and specificity of NF for [...]
read more »Neurocognitive networks: Findings, models, and theory
by Meehan et al Abstract Through its early history, cognitive neuroscience largely followed a modular paradigm wherein high-level cognitive functions were mapped onto locally segregated brain regions. However, recent evidence drives a continuing shift away from modular theories of cognitive brain function, and toward theories which hold that cognition arises from the integrated activity of [...]
read more »Publication of IEEE Recommended Practice for Neurofeedback Systems
Dear Colleagues, I am pleased to announce the publication of the IEEE Recommended Practice for Neurofeedback Systems. This project was initiated by ISNR and included the collective effort of several other organizations. ISNR would like to ackowledge Tom Collura (BrainMaster Technologies, Inc.) as Chair of the IEEE Committee for leading this important initiative, and a [...]
read more »Emergence of Stable Functional Networks in Long-Term Human Electroencephalography
by Chu et al Abstract Functional connectivity networks have become a central focus in neuroscience because they reveal key higher-dimensional features of normal and abnormal nervous system physiology. Functional networks reflect activity-based coupling between brain regions that may be constrained by relatively static anatomical connections, yet these networks appear to support tremendously dynamic behaviors. Within [...]
read more »Good vibrations: Oscillatory phase shapes perception
by Neulinga et al Abstract In the current study, we provide compelling evidence to answer the long-standing question whether perception is continuous or periodic. Spontaneous brain oscillations are assumed to be the underlying mechanism of periodic perception. Depending on the phase angle of the oscillations, an identical stimulus results in different perceptual outcomes. Past results, [...]
read more »Recovery of the default mode network after demanding neurofeedback training occurs in spatio-temporally segregated subnetworks
by Van De Ville et al Abstract The default mode (DM) network is a major large-scale cerebral network that can be identified with functional magnetic resonance imaging (fMRI) during resting state. Most studies consider functional connectivity networks as stationary phenomena. Consequently, the transient behavior of the DM network and its subnetworks is still largely unexplored. [...]
read more »Cerebral electromagnetic activity in the subdelta range
by Rodin E, Funke M. Abstract The frequency range between 0.1 and 0.9 Hz was investigated with magnetoelectroencephalography-EEG coregistration in 10 adult patients with epilepsy and five children with other neurologic conditions. In all instances, a dominant rhythm between 0.2 and 0.4 Hz could be observed in the waking and sleeping states. It showed a [...]
read more »Coupling between Intrinsic Prefrontal HbO2 and Central EEG Beta Power Oscillations in the Resting Brain
by Pfurtscheller et al Abstract There is increasing interest in the intrinsic activity in the resting brain, especially that of ultraslow and slow oscillations. Using near-infrared spectroscopy (NIRS), electroencephalography (EEG), blood pressure (BP), respiration and heart rate recordings during 5 minutes of rest, combined with cross spectral and sliding cross correlation calculations, we identified a [...]
read more »Peri-ictal and interictal, intracranial infraslow activity
by Constantino T, Rodin E. Abstract SUMMARY:: It is widely assumed that the recording of EEG infraslow activity (ISA) requires direct current amplifiers. Yet, it has been shown during the past decade that conventional EEG systems can record activity between 0.01 and 0.1 Hz and that this frequency band contains additional information, especially in regard [...]
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