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Erschienen in: Brain Structure and Function 8/2017

02.05.2017 | Original Article

Dysfunctions in striatal microstructure can enhance perceptual decision making through deficits in predictive coding

verfasst von: Christian Beste, Moritz Mückschel, Raymond Rosales, Aloysius Domingo, Lillian Lee, Arlene Ng, Christine Klein, Alexander Münchau

Erschienen in: Brain Structure and Function | Ausgabe 8/2017

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Abstract

An important brain function is to predict upcoming events on the basis of extracted regularities of previous inputs. These predictive coding processes can disturb performance in concurrent perceptual decision-making and are known to depend on fronto-striatal circuits. However, it is unknown whether, and if so, to what extent striatal microstructural properties modulate these processes. We addressed this question in a human disease model of striosomal dysfunction, i.e. X-linked dystonia-parkinsonism (XDP), using high-density EEG recordings and source localization. The results show faster and more accurate perceptual decision-making performance during distraction in XDP patients compared to healthy controls. The electrophysiological data show that sensory memory and predictive coding processes reflected by the mismatch negativity related to lateral prefrontal brain regions were weakened in XDP patients and thus induced less cognitive conflict than in controls as reflected by the N2 event-related potential (ERP). Consequently, attentional shifting (P3a ERP) and reorientation processes (RON ERP) were less pronounced in the XDP group. Taken together, these results suggests that striosomal dysfunction is related to predictive coding deficits leading to a better performance in concomitant perceptual decision-making, probably because predictive coding does not interfere with perceptual decision-making processes. These effects may reflect striatal imbalances between the striosomes and the matrix compartment.
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Metadaten
Titel
Dysfunctions in striatal microstructure can enhance perceptual decision making through deficits in predictive coding
verfasst von
Christian Beste
Moritz Mückschel
Raymond Rosales
Aloysius Domingo
Lillian Lee
Arlene Ng
Christine Klein
Alexander Münchau
Publikationsdatum
02.05.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Brain Structure and Function / Ausgabe 8/2017
Print ISSN: 1863-2653
Elektronische ISSN: 1863-2661
DOI
https://doi.org/10.1007/s00429-017-1435-x

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