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Titolo:
Dynamic imaging of coherent sources: Studying neural interactions in the human brain
Autore:
Gross, J; Kujala, J; Hamalainen, M; Timmermann, L; Schnitzler, A; Salmelin, R;
Indirizzi:
Univ Dusseldorf, Dept Neurol, D-40225 Dusseldorf, Germany Univ DusseldorfDusseldorf Germany D-40225 , D-40225 Dusseldorf, Germany Helsinki Univ Technol, Low Temp Lab, Brain Res Unit, FIN-02015 Espoo, Finland Helsinki Univ Technol Espoo Finland FIN-02015 , FIN-02015 Espoo, Finland
Titolo Testata:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
fascicolo: 2, volume: 98, anno: 2001,
pagine: 694 - 699
SICI:
0027-8424(20010116)98:2<694:DIOCSS>2.0.ZU;2-Y
Fonte:
ISI
Lingua:
ENG
Soggetto:
SYNCHRONIZATION; LOCALIZATION; CORTEX; MAGNETOENCEPHALOGRAPHY; MOVEMENT; RHYTHMS; TREMOR; MEG;
Keywords:
oscillations; functional connectivity; coherence; magnetoencephalography; synchronization;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
42
Recensione:
Indirizzi per estratti:
Indirizzo: Schnitzler, A Univ Dusseldorf, Dept Neurol, Moorenstr 5, D-40225 Dusseldorf, Germany Univ Dusseldorf Moorenstr 5 Dusseldorf Germany D-40225 many
Citazione:
J. Gross et al., "Dynamic imaging of coherent sources: Studying neural interactions in the human brain", P NAS US, 98(2), 2001, pp. 694-699

Abstract

Functional connectivity between cortical areas may appear as correlated time behavior of neural activity. It has been suggested that merging of separate features into a single percept ("binding") is associated with coherent gamma band activity across the cortical areas involved. Therefore, it wouldbe of utmost interest to image cortico-cortical coherence in the working human brain. The frequency specificity and transient nature of these interactions requires time-sensitive tools such as magneto- or electroencephalography (MEG/EEG). Coherence between signals of sensors covering different scalp areas is commonly taken as a measure of functional coupling, However, this approach provides vague information on the actual cortical areas involved, owing to the complex relation between the active brain areas and the sensor recordings. We propose a solution to the crucial issue of proceeding beyond the MEG sensor level to estimate coherences between cortical areas. Dynamic imaging of coherent sources (DICS) uses a spatial filter to localize coherent brain regions and provides the time courses of their activity. Reference points for the computation of neural coupling may be based on brain areas of maximum power or other physiologically meaningful information, or they may be estimated starting from sensor coherences. The performance of DIGS is evaluated with simulated data and illustrated with recordings of spontaneous activity in a healthy subject and a parkinsonian patient. Methods for estimating functional connectivities between brain areas will facilitatecharacterization of cortical networks involved in sensory, motor, or cognitive tasks and will allow investigation of pathological connectivities in neurological disorders.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 31/03/20 alle ore 08:39:11