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The contribution of TMS–EEG coregistration in the exploration of the human cortical connectome
- Source :
- Neuroscience & Biobehavioral Reviews. :114-124
- Publisher :
- The Authors. Published by Elsevier Ltd.
-
Abstract
- Recent developments in neuroscience have emphasised the importance of integrated distributed networks of brain areas for successful cognitive functioning. Our current understanding is that the brain has a modular organisation in which segregated networks supporting specialised processing are linked through a few long-range connections, ensuring processing integration. Although such architecture is structurally stable, it appears to be flexible in its functioning, enabling long-range connections to regulate the information flow and facilitate communication among the relevant modules, depending on the contingent cognitive demands. Here we show how insights brought by the coregistration of transcranial magnetic stimulation and electroencephalography (TMS–EEG) integrate and support recent models of functional brain architecture. Moreover, we will highlight the types of data that can be obtained through TMS–EEG, such as the timing of signal propagation, the excitatory/inhibitory nature of connections and causality. Last, we will discuss recent emerging applications of TMS–EEG in the study of brain disorders.
- Subjects :
- Cognitive Neuroscience
medicine.medical_treatment
Electroencephalography
Behavioral Neuroscience
Functional brain
Functional connectivity
Non-invasive brain stimulation (NIBS)
Transcranial magnetic stimulation (TMS)
Neural Pathways
Connectome
medicine
Humans
Information flow (information theory)
Cognitive skill
Electroencephalography (EEG)
Effective connectivity
medicine.diagnostic_test
business.industry
Connections
Brain
Cognition
Modular design
TMS-evoked potential TEP
Transcranial Magnetic Stimulation
Transcranial magnetic stimulation
Graph theory
Neuropsychology and Physiological Psychology
business
Psychology
Neuroscience
Coregistration
Subjects
Details
- Language :
- English
- ISSN :
- 01497634
- Database :
- OpenAIRE
- Journal :
- Neuroscience & Biobehavioral Reviews
- Accession number :
- edsair.doi.dedup.....08edaf6b905924663224e23b63711b27
- Full Text :
- https://doi.org/10.1016/j.neubiorev.2014.12.014