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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004192naa a2200445 4500
001oai:DiVA.org:liu-143724
003SwePub
008171215s2017 | |||||||||||000 ||eng|
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1437242 URI
0247 a https://doi.org/10.1007/s11682-016-9660-02 DOI
040 a (SwePub)liu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Nickchen, Katharinau Charite University of Medical Berlin, Germany; Fliedner Klin Berlin, Germany4 aut
2451 0a Reversal learning reveals cognitive deficits and altered prediction error encoding in the ventral striatum in Huntingtons disease
264 c 2016-12-05
264 1b SPRINGER,c 2017
338 a print2 rdacarrier
500 a Funding Agencies|Cluster of Excellence NeuroCure; Deutsche Forschungsgemeinschaft [GRK-1123]
520 a Huntingtons disease (HD) is an autosomal dominant neurodegenerative condition characterized by a triad of movement disorder, neuropsychiatric symptoms and cognitive deficits. The striatum is particularly vulnerable to the effects of mutant huntingtin, and cell loss can already be found in presymptomatic stages. Since the striatum is well known for its role in reinforcement learning, we hypothesized to find altered behavioral and neural responses in HD patients in a probabilistic reinforcement learning task performed during functional magnetic resonance imaging. We studied 24 HD patients without central nervous system (CNS)-active medication and 25 healthy controls. Twenty HD patients and 24 healthy controls were able to complete the task. Computational modeling was used to calculate prediction error values and estimate individual parameters. We observed that gray matter density and prediction error signals during the learning task were related to disease stage. HD patients in advanced disease stages appear to use a less complex strategy in the reversal learning task. In contrast, HD patients in early disease stages show intact encoding of learning signals in the degenerating left ventral striatum. This effect appears to be lost with disease progression.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Medicinska och farmaceutiska grundvetenskaperx Neurovetenskaper0 (SwePub)301052 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Basic Medicinex Neurosciences0 (SwePub)301052 hsv//eng
653 a Huntingtons disease; Reinforcement learning; Ventral striatum; Gray matter density
7001 a Böhme, Rebeccau Linköpings universitet,Centrum för social och affektiv neurovetenskap,Medicinska fakulteten,Charite University of Medical Berlin, Germany4 aut0 (Swepub:liu)rebbo11
7001 a del Mar Amador, Mariau Charite University of Medical Berlin, Germany4 aut
7001 a Haelbig, Thomas D.u Charite University of Medical Berlin, Germany4 aut
7001 a Dehnicke, Katharinau Charite University of Medical Berlin, Germany; Helios Klinikum Bad Saarow, Germany4 aut
7001 a Panneck, Patriciau Charite University of Medical Berlin, Germany4 aut
7001 a Behr, Joachimu Charite University of Medical Berlin, Germany; Medical School Brandenburg, Germany4 aut
7001 a Prass, Konstantinu Helios Klinikum Bad Saarow, Germany4 aut
7001 a Heinz, Andreasu Charite University of Medical Berlin, Germany4 aut
7001 a Deserno, Lorenzu Charite University of Medical Berlin, Germany; Max Planck Institute Human Cognit and Brain Science, Germany4 aut
7001 a Schlagenhauf, Florianu Charite University of Medical Berlin, Germany; Max Planck Institute Human Cognit and Brain Science, Germany4 aut
7001 a Priller, Josefu Charite University of Medical Berlin, Germany; BIH, Germany; DZNE, Germany4 aut
7102 a Charite University of Medical Berlin, Germany; Fliedner Klin Berlin, Germanyb Centrum för social och affektiv neurovetenskap4 org
7730 t Brain Imaging and Behaviord : SPRINGERg 11:6, s. 1862-1872q 11:6<1862-1872x 1931-7557x 1931-7565
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143724
8564 8u https://doi.org/10.1007/s11682-016-9660-0

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