Literature DB >> 24313650

Dysfunctional and compensatory synaptic plasticity in Parkinson's disease.

Henning Schroll1, Julien Vitay, Fred H Hamker.   

Abstract

In Parkinson's disease, a loss of dopamine neurons causes severe motor impairments. These motor impairments have long been thought to result exclusively from immediate effects of dopamine loss on neuronal firing in basal ganglia, causing imbalances of basal ganglia pathways. However, motor impairments and pathway imbalances may also result from dysfunctional synaptic plasticity - a novel concept of how Parkinsonian symptoms evolve. Here we built a neuro-computational model that allows us to simulate the effects of dopamine loss on synaptic plasticity in basal ganglia. Our simulations confirm that dysfunctional synaptic plasticity can indeed explain the emergence of both motor impairments and pathway imbalances in Parkinson's disease, thus corroborating the novel concept. By predicting that dysfunctional plasticity results not only in reduced activation of desired responses, but also in their active inhibition, our simulations provide novel testable predictions. When simulating dopamine replacement therapy (which is a standard treatment in clinical practice), we observe a new balance of pathway outputs, rather than a simple restoration of non-Parkinsonian states. In addition, high doses of replacement are shown to result in overshooting motor activity, in line with empirical evidence. Finally, our simulations provide an explanation for the intensely debated paradox that focused basal ganglia lesions alleviate Parkinsonian symptoms, but do not impair performance in healthy animals. Overall, our simulations suggest that the effects of dopamine loss on synaptic plasticity play an essential role in the development of Parkinsonian symptoms, thus arguing for a re-conceptualisation of Parkinsonian pathophysiology.
© 2013 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Entities:  

Keywords:  basal ganglia; computational model; connectivity; learning; reward

Mesh:

Substances:

Year:  2013        PMID: 24313650     DOI: 10.1111/ejn.12434

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  20 in total

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Review 4.  Insights into Parkinson's disease from computational models of the basal ganglia.

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Journal:  J Neurol Neurosurg Psychiatry       Date:  2018-04-17       Impact factor: 10.154

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Review 6.  Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy.

Authors:  Henning Schroll; Fred H Hamker
Journal:  Front Syst Neurosci       Date:  2013-12-30

7.  Computing reward-prediction error: an integrated account of cortical timing and basal-ganglia pathways for appetitive and aversive learning.

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Journal:  Eur J Neurosci       Date:  2015-07-25       Impact factor: 3.386

8.  ANNarchy: a code generation approach to neural simulations on parallel hardware.

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9.  A Biologically Inspired Computational Model of Basal Ganglia in Action Selection.

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Journal:  Comput Intell Neurosci       Date:  2015-11-10

10.  A Mathematical Model of Levodopa Medication Effect on Basal Ganglia in Parkinson's Disease: An Application to the Alternate Finger Tapping Task.

Authors:  Chiara Baston; Manuela Contin; Giovanna Calandra Buonaura; Pietro Cortelli; Mauro Ursino
Journal:  Front Hum Neurosci       Date:  2016-06-17       Impact factor: 3.169

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