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  The subthalamic nucleus during decision-making with multiple alternatives

Keuken, M. C., van Maanen, L., Bogacz, R., Schäfer, A., Neumann, J., Turner, R., et al. (2015). The subthalamic nucleus during decision-making with multiple alternatives. Human Brain Mapping, 36(10), 4041-4052. doi:10.1002/hbm.22896.

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Genre: Zeitschriftenartikel

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https://doi.org/10.1002/hbm.22896 (Verlagsversion)
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 Urheber:
Keuken, Max C.1, 2, Autor           
van Maanen, Leendert2, Autor
Bogacz, Rafal3, Autor
Schäfer, Andreas4, Autor           
Neumann, Jane5, Autor           
Turner, Robert6, Autor           
Forstmann, Birte U.2, Autor           
Affiliations:
1MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634548              
2Amsterdam Brain and Cognition (ABC), University of Amsterdam, the Netherlands, ou_persistent22              
3Nuffield Department Clinical Neurosciences, FMRIB Centre, University of Oxford, United Kingdom, ou_persistent22              
4Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_2205649              
5Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
6Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              

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Schlagwörter: Decision-making; Basal ganglia; Computational modeling; Ultrahigh field magnetic resonance imaging; Functional magnetic resonance imaging; Diffusion weighted imaging
 Zusammenfassung: Several prominent neurocomputational models predict that an increase of choice alternatives is modulated by increased activity in the subthalamic nucleus (STN). In turn, increased STN activity allows prolonged accumulation of information. At the same time, areas in the medial frontal cortex such as the anterior cingulate cortex (ACC) and the pre-SMA are hypothesized to influence the information processing in the STN. This study set out to test concrete predictions of STN activity in multiple-alternative decision-making using a multimodal combination of 7 Tesla structural and functional Magnetic Resonance Imaging, and ancestral graph (AG) modeling. The results are in line with the predictions in that increased STN activity was found with an increasing amount of choice alternatives. In addition, our study shows that activity in the ACC is correlated with activity in the STN without directly modulating it. This result sheds new light on the information processing streams between medial frontal cortex and the basal ganglia.

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Sprache(n): eng - English
 Datum: 2015-06-182014-12-232015-06-262015-07-152015-10-01
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1002/hbm.22896
PMID: 26178078
PMC: PMC4896390
Anderer: Epub 2015
 Art des Abschluß: -

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Projektname : -
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Förderorganisation : European Commission (EC)
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Förderprogramm : -
Förderorganisation : Netherlands Organization for Scientific Research (NWO)
Projektname : Using computer simulations for predicting interventions restoring healthy patterns of neural activity
Grant ID : MC_UU_12024/5
Förderprogramm : -
Förderorganisation : Medical Research Council UK (MRC)

Quelle 1

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Titel: Human Brain Mapping
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 36 (10) Artikelnummer: - Start- / Endseite: 4041 - 4052 Identifikator: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686