Andraž Matkovič (Avtor), Alan Anticevic (Avtor), John D. Murray (Avtor), Grega Repovš (Avtor)

Povzetek

Functional connectivity (FC) of blood-oxygen-level-dependent (BOLD) fMRI time series can be estimated using methods that differ in sensitivity to the temporal order of time points (static vs. dynamic) and the number of regions considered in estimating a single edge (bivariate vs. multivariate). Previous research suggests that dynamic FC explains variability in FC fluctuations and behavior beyond static FC. Our aim was to systematically compare methods on both dimensions. We compared five FC methods: Pearson’s/full correlation (static, bivariate), lagged correlation (dynamic, bivariate), partial correlation (static, multivariate) and multivariate AR model with and without self-connections (dynamic, multivariate). We compared these methods by (i) assessing similarities between FC matrices, (ii) by comparing node centrality measures, and (iii) by comparing the patterns of brain-behavior associations. Although FC estimates did not differ as a function of sensitivity to temporal order, we observed differences between the multivariate and bivariate FC methods. The dynamic FC estimates were highly correlated with the static FC estimates, especially when comparing group-level FC matrices. Similarly, there were high correlations between the patterns of brain-behavior associations obtained using the dynamic and static FC methods. We conclude that the dynamic FC estimates represent information largely similar to that of the static FC.

Ključne besede

funkcijska konektivnost;merjenje;možgani;funkcijsko magnetnoresonančno slikanje fMRI;nevroznanost;nevronske mreže;functional connectivity;measurement;brain;functional magnetic resonance imaging fMRI;neurosciences;neural networks;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FF - Filozofska fakulteta
UDK: 159.91:612.82
COBISS: 157380355 Povezava se bo odprla v novem oknu
ISSN: 2472-1751
Št. ogledov: 10
Št. prenosov: 3
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: funkcijska konektivnost;merjenje;možgani;funkcijsko magnetnoresonančno slikanje fMRI;nevroznanost;nevronske mreže;
Vrsta dela (COBISS): Članek v reviji
Strani: str. 1266–1301
Letnik: ǂVol. ǂ7
Zvezek: ǂiss. ǂ4
Čas izdaje: 2023
DOI: 10.1162/netn_a_00325
ID: 22381052