English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Relating alpha power and phase to population firing and hemodynamic activity using a thalamo-cortical neural mass model

Becker, R., Knock, S., Ritter, P., & Jirsa, V. (2015). Relating alpha power and phase to population firing and hemodynamic activity using a thalamo-cortical neural mass model. PLoS Computational Biology, 11(9): e1004352. doi:10.1371/journal.pcbi.1004352.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-76AB-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-78A9-8
Genre: Journal Article

Files

show Files
hide Files
:
Becker_Knock_2015.PDF (Publisher version), 3MB
Name:
Becker_Knock_2015.PDF
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Becker, Robert1, Author
Knock, Stuart2, Author
Ritter, Petra3, 4, 5, 6, Author              
Jirsa, Viktor2, 7, Author
Affiliations:
1Functional Brain Mapping Laboratory, University of Geneva, Switzerland, ou_751546              
2Institut de Neurosciences des Systèmes, Aix-Marseille Université Faculté de Médecine, Marseille, France, ou_persistent22              
3Minerva Research Group Brain Modes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_751546              
4Department of Neurology, Charité University Medicine Berlin, Germany, ou_persistent22              
5Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              
6Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
7Institut national de la santé et de la recherche médicale, Paris, France, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Oscillations are ubiquitous phenomena in the animal and human brain. Among them, the alpha rhythm in human EEG is one of the most prominent examples. However, its precise mechanisms of generation are still poorly understood. It was mainly this lack of knowledge that motivated a number of simultaneous electroencephalography (EEG) – functional magnetic resonance imaging (fMRI) studies. This approach revealed how oscillatory neuronal signatures such as the alpha rhythm are paralleled by changes of the blood oxygenation level dependent (BOLD) signal. Several such studies revealed a negative correlation between the alpha rhythm and the hemodynamic BOLD signal in visual cortex and a positive correlation in the thalamus. In this study we explore the potential generative mechanisms that lead to those observations. We use a bursting capable Stefanescu-Jirsa 3D (SJ3D) neural-mass model that reproduces a wide repertoire of prominent features of local neuronal-population dynamics. We construct a thalamo-cortical network of coupled SJ3D nodes considering excitatory and inhibitory directed connections. The model suggests that an inverse correlation between cortical multi-unit activity, i.e. the firing of neuronal populations, and narrow band local field potential oscillations in the alpha band underlies the empirically observed negative correlation between alpha-rhythm power and fMRI signal in visual cortex. Furthermore the model suggests that the interplay between tonic and bursting mode in thalamus and cortex is critical for this relation. This demonstrates how biophysically meaningful modelling can generate precise and testable hypotheses about the underpinnings of large-scale neuroimaging signals.

Details

show
hide
Language(s): eng - English
 Dates: 2014-08-182015-05-272015-09-03
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1371/journal.pcbi.1004352
PMID: 26335064
PMC: PMC4559309
Other: eCollection 2015
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PLoS Computational Biology
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 11 (9) Sequence Number: e1004352 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1