2016
Neural network of predictive motor timing in the context of gender differences
FILIP, Pavel, Jan LOŠÁK, Tomáš KAŠPÁREK, Jiří VANÍČEK, Martin BAREŠ et. al.Základní údaje
Originální název
Neural network of predictive motor timing in the context of gender differences
Autoři
FILIP, Pavel (703 Slovensko, domácí), Jan LOŠÁK (203 Česká republika), Tomáš KAŠPÁREK (203 Česká republika), Jiří VANÍČEK (203 Česká republika, domácí) a Martin BAREŠ (203 Česká republika, garant, domácí)
Vydání
Neural Plasticity, New York, Hindawi Publishing Corporation, 2016, 2090-5904
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30000 3. Medical and Health Sciences
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 3.054
Kód RIV
RIV/00216224:14110/16:00089698
Organizační jednotka
Lékařská fakulta
UT WoS
000372994900001
Klíčová slova anglicky
CEREBRAL GLUCOSE-METABOLISM; SEX-DIFFERENCES; TIME PERCEPTION; BRAIN ACTIVATION; CEREBELLAR DISORDERS; INTRINSIC MODELS; PARIETAL CORTEX; INTERVAL; FMRI; PET
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 4. 8. 2016 14:44, Ing. Mgr. Věra Pospíšilíková
Anotace
V originále
Time perception is an essential part of our everyday lives, in both the prospective and the retrospective domains. However, our knowledge of temporal processing is mainly limited to the networks responsible for comparing or maintaining specific intervals or frequencies. In the presented fMRI study, we sought to characterize the neural nodes engaged specifically in predictive temporal analysis, the estimation of the future position of an object with varying movement parameters, and the contingent neuroanatomical signature of differences in behavioral performance between genders. The established dominant cerebellar engagement offers novel evidence in favor of a pivotal role of this structure in predictive short-term timing, overshadowing the basal ganglia reported together with the frontal cortex as dominant in retrospective temporal processing in the subsecond spectrum. Furthermore, we discovered lower performance in this task and massively increased cerebellar activity in women compared to men, indicative of strategy differences between the genders. This promotes the view that predictive temporal computing utilizes comparable structures in the retrospective timing processes, but with a definite dominance of the cerebellum.
Návaznosti
ED1.1.00/02.0068, projekt VaV |
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