Open AccessDynamics of the human brain network revealed by time-frequency effective connectivity in fNIRS
Author(s) -
Grégoire Vergotte,
Kjerstin Torre,
Venkata Chaitanya Chirumamilla,
Abdul Rauf Anwar,
Sergiu Groppa,
Stéphane Perrey,
Muthuraman Muthuraman
Publication year - 2017
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.8.005326
Subject(s) - finger tapping , functional near infrared spectroscopy , neuroimaging , computer science , task (project management) , functional connectivity , neuroscience , human brain , artificial intelligence , psychology , cognition , medicine , management , economics , audiology , prefrontal cortex
Functional near infrared spectroscopy (fNIRS) is a promising neuroimaging method for investigating networks of cortical regions over time. We propose a directed effective connectivity method (TPDC) allowing the capture of both time and frequency evolution of the brain's networks using fNIRS data acquired from healthy subjects performing a continuous finger-tapping task. Using this method we show the directed connectivity patterns among cortical motor regions involved in the task and their significant variations in the strength of information flow exchanges. Intra and inter-hemispheric connections during the motor task with their temporal evolution are also provided. Characterisation of the fluctuations in brain connectivity opens up a new way to assess the organisation of the brain to adapt to changing task constraints, or under pathological conditions.