Disrupted Information Flow in Resting-State in Adolescents With Sports Related Concussion
Children and youths are at a greater risk of concussions than adults, and once injured, take longer to recover. A key feature of concussion is an increase in functional connectivity, yet it remains unclear how changes in functional connectivity relate to the patterns of information flow within resti...
Main Authors: | Dionissios T. Hristopulos, Arif Babul, Shazia'Ayn Babul, Leyla R. Brucar, Naznin Virji-Babul |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-12-01
|
Series: | Frontiers in Human Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fnhum.2019.00419/full |
Similar Items
-
Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors
by: Babul, A., et al.
Published: (2021) -
Recurrent neural network-based acute concussion classifier using raw resting state EEG data
by: Karun Thanjavur, et al.
Published: (2021-06-01) -
A Case for Mental and Physical Rest in Youth Sports Concussion: It’s Never Too Late
by: Rosemarie Scolaro Moser, et al.
Published: (2012-12-01) -
Stakeholder Recommendations to Increase the Accessibility of Online Health Information for Adults Experiencing Concussion Symptoms
by: M. Denise Beaton, et al.
Published: (2021-01-01) -
Stuck in a State of Inattention? Functional Hyperconnectivity as an Indicator of Disturbed Intrinsic Brain Dynamics in Adolescents With Concussion: A Pilot Study
by: Angela M. Muller, et al.
Published: (2018-01-01)