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Disentangling large-scale brain dynamics and their links to behavior during the emotional face matching task
ID Korponay, Cole (Avtor), ID Cohen-Gilbert, Julia E. (Avtor), ID Cheng, You (Avtor), ID Kumar, Poornima (Avtor), ID Harnett, Nathaniel G. (Avtor), ID Medina, Adrian A. (Avtor), ID Forester, Brent P. (Avtor), ID Ressler, Kerry J. (Avtor), ID Demšar, Jure (Avtor), ID Frederick, Blaise B. (Avtor), ID Beckmann, Christian F. (Avtor), ID Harper, David G. (Avtor), ID Nickerson, Lisa D. (Avtor)

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Izvleček
Emotion processing engages multiple large-scale brain networks. However, prior investigations relying on a priori, contrast-based models of brain activity obscure networks’ distinct temporal dynamics and roles in task performance. Here, we performed tensor independent component analysis to identify and track concurrent brain processes, including those with non-canonical dynamics, during the emotional face matching task (EFMT) in healthy young adults (n = 413; n = 416 replication). Ten EFMT-recruited large-scale brain networks were identified, reflecting flexible recoupling of visual association cortex to diverse non-visual networks. These networks collectively engaged 74% of cortex and more strongly explained variability in cognition and a performance-based index of emotion interference than contrast-based amygdala activation/connectivity. Variability in EFMT-recruited network activity was more strongly linked to variability in cognition than affect. Findings reveal a rich landscape of brain activity under the surface of contrast-based fMRI analyses and deepen insights into the distinct brain processes underlying subcomponents of emotional face processing.

Jezik:Angleški jezik
Ključne besede:neuroimaging, functional mri, brain dynamics, task analysis
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FRI - Fakulteta za računalništvo in informatiko
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2025
Št. strani:11 str.
Številčenje:Vol. 8, Art. 1176
PID:20.500.12556/RUL-175517 Povezava se odpre v novem oknu
UDK:004.9:612.82
ISSN pri članku:2399-3642
DOI:10.1038/s42003-025-08543-5 Povezava se odpre v novem oknu
COBISS.SI-ID:245345027 Povezava se odpre v novem oknu
Datum objave v RUL:30.10.2025
Število ogledov:334
Število prenosov:154
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Communications biology
Skrajšan naslov:Commun. biolog.
Založnik:Springer Nature
ISSN:2399-3642
COBISS.SI-ID:5134671 Povezava se odpre v novem oknu

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:nevrološko slikanje, funkcijska magnetna resonanca, dinamike v možganih, analiza nalog

Projekti

Financer:NIH - National Institutes of Health
Program financ.:NATIONAL INSTITUTE ON AGING
Številka projekta:1RF1AG078304-01
Naslov:Combining Computational Methods, RDoC, and Big Neuroimaging Data to Understand Mechanisms of Neuropsychiatric Symptoms in Alzheimer's Disease

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