TY  - JOUR
AU  - Maith, Oliver
AU  - Villagrasa Escudero, Francesc
AU  - Dinkelbach, Helge Ülo
AU  - Baladron, Javier
AU  - Horn, Andreas
AU  - Irmen, Friederike
AU  - Kühn, Andrea A.
AU  - Hamker, Fred H.
TI  - A computational model‐based analysis of basal ganglia pathway changes in Parkinson’s disease inferred from resting‐state fMRI
JO  - European journal of neuroscience
VL  - 53
IS  - 7
SN  - 1460-9568
CY  - Oxford [u.a.]
PB  - Wiley
M1  - FZJ-2020-04911
SP  - 2278-2295
PY  - 2021
AB  - Previous computational model-based approaches for understanding the dynamic changes related to Parkinson's disease made particular assumptions about Parkinson's disease-related activity changes or specified dopamine-dependent activation or learning rules. Inspired by recent model-based analysis of resting-state fMRI, we have taken a data-driven approach. We fit the free parameters of a spiking neuro-computational model to match correlations of blood oxygen level-dependent signals between different basal ganglia nuclei and obtain subject-specific neuro-computational models of two subject groups: Parkinson patients and matched controls. When comparing mean firing rates at rest and connectivity strengths between the control and Parkinsonian model groups, several significant differences were found that are consistent with previous experimental observations. We discuss the implications of our approach and compare its results also with the popular “rate model” of the basal ganglia. Our study suggests that a model-based analysis of imaging data from healthy and Parkinsonian subjects is a promising approach for the future to better understand Parkinson-related changes in the basal ganglia and corresponding treatments.
LB  - PUB:(DE-HGF)16
C6  - pmid:32558966
UR  - <Go to ISI:>//WOS:000545417800001
DO  - DOI:10.1111/ejn.14868
UR  - https://juser.fz-juelich.de/record/888443
ER  -