Effects of dopamine on reinforcement learning in Parkinson’s disease depend on motor phenotype

Autor: Hanneke E. M. den Ouden, Rick C. Helmich, Roshan Cools, Michiel F. Dirkx, Heidemarie Zach, Annelies J van Nuland, Ivan Toni
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Male
Parkinson's disease
Dopamine
Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13]
Striatum
Disease
240 Systems Neurology
Antiparkinson Agents
Levodopa
Benserazide
Neural Pathways
Tremor
111 000 Intention & Action
AcademicSubjects/SCI01870
Dopaminergic
Neurodegeneration
Cognition
Parkinson Disease
Middle Aged
Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3]
humanities
Drug Combinations
Phenotype
Dopamine Agonists
Female
medicine.drug
medicine.medical_specialty
reinforcement learning
Physical medicine and rehabilitation
Punishment
Reward
medicine
Learning
Humans
Computer Simulation
Aged
Motivation
Neuro- en revalidatiepsychologie
business.industry
Action
intention
and motor control

Neuropsychology and rehabilitation psychology
Original Articles
medicine.disease
nervous system diseases
Parkinson’s disease
Conditioning
Operant

AcademicSubjects/MED00310
Neurology (clinical)
business
170 000 Motivational & Cognitive Control
Zdroj: Brain
Brain, 143, 11, pp. 3422-3434
Brain, 143, 3422-3434
ISSN: 1460-2156
0006-8950
Popis: See Manohar (doi:10.1093/brain/awaa363) for a scientific commentary on this article. Parkinson’s disease is complicated by great variability in symptoms. Van Nuland et al. report that the well-established effects of levodopa on reinforcement learning apply only to patients without tremor symptoms, suggesting a need to revisit neurocognitive models of dopaminergic function in Parkinson’s disease.
Parkinson’s disease is clinically defined by bradykinesia, along with rigidity and tremor. However, the severity of these motor signs is greatly variable between individuals, particularly the presence or absence of tremor. This variability in tremor relates to variation in cognitive/motivational impairment, as well as the spatial distribution of neurodegeneration in the midbrain and dopamine depletion in the striatum. Here we ask whether interindividual heterogeneity in tremor symptoms could account for the puzzlingly large variability in the effects of dopaminergic medication on reinforcement learning, a fundamental cognitive function known to rely on dopamine. Given that tremor-dominant and non-tremor Parkinson’s disease patients have different dopaminergic phenotypes, we hypothesized that effects of dopaminergic medication on reinforcement learning differ between tremor-dominant and non-tremor patients. Forty-three tremor-dominant and 20 non-tremor patients with Parkinson’s disease were recruited to be tested both OFF and ON dopaminergic medication (200/50 mg levodopa-benserazide), while 22 age-matched control subjects were recruited to be tested twice OFF medication. Participants performed a reinforcement learning task designed to dissociate effects on learning rate from effects on motivational choice (i.e. the tendency to ‘Go/NoGo’ in the face of reward/threat of punishment). In non-tremor patients, dopaminergic medication improved reward-based choice, replicating previous studies. In contrast, in tremor-dominant patients, dopaminergic medication improved learning from punishment. Formal modelling showed divergent computational effects of dopaminergic medication as a function of Parkinson’s disease motor phenotype, with a modulation of motivational choice bias and learning rate in non-tremor and tremor patients, respectively. This finding establishes a novel cognitive/motivational difference between tremor and non-tremor Parkinson’s disease patients, and highlights the importance of considering motor phenotype in future work.
Databáze: OpenAIRE