Vaš brskalnik ne omogoča JavaScript!
JavaScript je nujen za pravilno delovanje teh spletnih strani. Omogočite JavaScript ali pa uporabite sodobnejši brskalnik.
Repozitorij Univerze v Ljubljani
Nacionalni portal odprte znanosti
Odprta znanost
DiKUL
slv
|
eng
Iskanje
Napredno
Novo v RUL
Kaj je RUL
V številkah
Pomoč
Prijava
Podrobno
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
)
PDF - Predstavitvena datoteka,
prenos
(2,95 MB)
MD5: C0BD800A2E4022F4F361C1E5FAEF8EE9
URL - Izvorni URL, za dostop obiščite
https://www.nature.com/articles/s42003-025-08543-5
Galerija slik
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
UDK:
004.9:612.82
ISSN pri članku:
2399-3642
DOI:
10.1038/s42003-025-08543-5
COBISS.SI-ID:
245345027
Datum objave v RUL:
30.10.2025
Število ogledov:
334
Število prenosov:
154
Metapodatki:
Citiraj gradivo
Navadno besedilo
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Kopiraj citat
Objavi na:
Gradivo je del revije
Naslov:
Communications biology
Skrajšan naslov:
Commun. biolog.
Založnik:
Springer Nature
ISSN:
2399-3642
COBISS.SI-ID:
5134671
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
Podobna dela
Podobna dela v RUL:
Podobna dela v drugih slovenskih zbirkah:
Nazaj