FILIP, Pavel, Jan LOŠÁK, Tomáš KAŠPÁREK, Jiří VANÍČEK and Martin BAREŠ. Neural network of predictive motor timing in the context of gender differences. Neural Plasticity. New York: Hindawi Publishing Corporation, 2016, vol. 2016, "neuvedeno", p. 1-9. ISSN 2090-5904. doi:10.1155/2016/2073454.
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Basic information
Original name Neural network of predictive motor timing in the context of gender differences
Authors FILIP, Pavel (703 Slovakia, belonging to the institution), Jan LOŠÁK (203 Czech Republic), Tomáš KAŠPÁREK (203 Czech Republic), Jiří VANÍČEK (203 Czech Republic, belonging to the institution) and Martin BAREŠ (203 Czech Republic, guarantor, belonging to the institution).
Edition Neural Plasticity, New York, Hindawi Publishing Corporation, 2016, 2090-5904.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30000 3. Medical and Health Sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 3.054
RIV identification code RIV/00216224:14110/16:00089698
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1155/2016/2073454
UT WoS 000372994900001
Keywords in English CEREBRAL GLUCOSE-METABOLISM; SEX-DIFFERENCES; TIME PERCEPTION; BRAIN ACTIVATION; CEREBELLAR DISORDERS; INTRINSIC MODELS; PARIETAL CORTEX; INTERVAL; FMRI; PET
Tags EL OK, podil
Tags International impact, Reviewed
Changed by Changed by: Ing. Mgr. Věra Pospíšilíková, učo 9005. Changed: 4/8/2016 14:44.
Abstract
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.
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ED1.1.00/02.0068, research and development projectName: CEITEC - central european institute of technology
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