Inter-brain EEG connectivity in hyperscanning for Italian and French gestures: the culture-related nonverbal language

2021 ◽  
Author(s):  
Michela Balconi ◽  
Giulia Fronda
Keyword(s):  
Eeg Connectivity

A Comment on some Methodological Issues in EEG Connectivity Studies of Sensory Features in Youth with Autism

2021 ◽  
Author(s):  
Christopher F. Sharpley ◽  
Kimaya Sarmukadam ◽  
Vicki Bitsika ◽  
Mary McMillan ◽  
Linda L. Agnew
Keyword(s):  
Methodological Issues ◽  
Sensory Features ◽  
Eeg Connectivity

Sensory Features and Bi-directional EEG Connectivity in Young Autistic Males

2021 ◽  
Author(s):  
Kimaya Sarmukadam ◽  
Vicki Bitsika ◽  
Christopher F. Sharpley ◽  
Mary M. E. McMillan ◽  
Linda L. Agnew
Keyword(s):  
Sensory Features ◽  
Eeg Connectivity

Resting-state EEG Connectivity in Young Children with ADHD

2020 ◽  
pp. 1-17
Author(s):  
Sarah Furlong ◽  
Jessica R. Cohen ◽  
Joseph Hopfinger ◽  
Jenna Snyder ◽  
Madeline M. Robertson ◽  
...  
Keyword(s):  
Young Children ◽  
Resting State ◽  
Children With Adhd ◽  
Eeg Connectivity

scholarly journals Neural correlates of modified subjective state of consciousness induced by hypnosis using EEG-connectivity approach

2018 ◽  
Vol 12 ◽  
Author(s):  
Rajanikant Panda ◽  
Olivia Gosseries ◽  
Audrey Vanhaudenhuyse ◽  
Athena Demertzi ◽  
Andrea Piarulli ◽  
...  
Keyword(s):  
Neural Correlates ◽  
Subjective State ◽  
Eeg Connectivity

Abstract 11: Targeted Training of a Motor-parietal Circuit Improves Its Behavioral Output

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Steven C Cramer ◽  
Robert Zhou ◽  
Morgan Ingemanson ◽  
John J Choi ◽  
Katherine M Wu ◽  
...  
Keyword(s):  
Primary Motor Cortex ◽  
Brain Connectivity ◽  
Secondary Analysis ◽  
Visuomotor Learning ◽  
Visuomotor Tracking ◽  
Home Based ◽  
Eeg Connectivity ◽  
Hemiparetic Stroke ◽  
Chronic Hemiparetic Stroke ◽  
High Beta

Introduction: Emerging brain mapping methods measure function of individual brain circuits and have the potential to predict a patient’s gains and needs in the context of stroke rehabilitation. We recently described a motor-parietal circuit underlying visuomotor tracking and defined an EEG coherence measure (reflecting connectivity) that predicts visuomotor learning. Here we test the hypothesis that this EEG metric predicts visuomotor learning after stroke. Methods: After baseline dense-array resting EEG, patients with chronic hemiparetic stroke were provided with a home-based gaming system. During 9 half-hour training sessions, patients played games in which the stroke-affected arm tracked objects moving on the tabletop. Games were implemented using augmented reality, which we have found has advantages for motor training and in which virtual objects are projected into the real world and modified during game play. Results: Subjects (n=12) had affected arm Box&Blocks score of 15±12 and were 35±26 mo post-stroke. Visuomotor tracking improved significantly: on a standardized visuomotor test using the gaming system, scores increased from 60.5±11.5% to 74.0±3.2% (p=0.003). Gains were specific, as other behaviors were unchanged. Individual gains in visuomotor tracking score were predicted by the EEG connectivity metric from our prior study, coherence between leads overlying ipsilesional primary motor cortex (M1i) and ipsilesional lateral parietal region in the high beta (20-30 Hz) range, with higher connectivity predicting greater visuomotor tracking gains (r=0.61, p=0.037). This too was specific, as connectivity between M1i and other brain areas did not predict gains. Secondary analysis found that baseline visuomotor tracking scores correlated with several EEG connectivity measures, all inversely and all between M1i and contralesional regions. Conclusions: We found that (1) training that targets a specific brain circuit improves behavioral output of that circuit, and (2) an EEG measure of brain connectivity within that circuit predicts these behavioral gains--both with specificity. This approach may be useful for many neural circuits and their respective rehabilitation-related behaviors.

EEG connectivity as the possible endophenotype in adult ADHD

2020 ◽  
Vol 131 (3) ◽  
pp. 750-751 ◽  
Author(s):  
Ryouhei Ishii ◽  
Yasuo Naito
Keyword(s):  
Adult Adhd ◽  
Eeg Connectivity
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