Back

Emergence of Task-Related Motor Cortical Dysfunction in Mice with Progressive Parkinsonism

Chehade, H. D.; Berezhnoi, D.; Somavarapu, S.; Wang, Z.; Jiang, J.; Chen, L.; Risk, B. B.; Wichmann, T.; Chu, H.-Y.

2026-06-02 neuroscience
10.64898/2026.05.29.728524 bioRxiv
Show abstract

There are substantial functional changes in the primary motor cortex (M1) in Parkinsons disease (PD). However, the temporal relationship between midbrain dopaminergic (DA) neurodegeneration, M1 circuit dysfunction, and Parkinsonian motor symptoms remains poorly understood. Using a genetic mouse model of progressive nigrostriatal DA degeneration ("MitoPark" mice), we determine the time course of M1 cellular dysfunction and skilled movement impairment as the midbrain DA neurons gradually degenerate. M1 pyramidal neuronal subtypes were identified using AAV-mediated retrograde labeling. During progressive DA loss, MitoPark mice developed gradually impaired performance in a reach-to-grasp single-food-pellet task. These impairments were detectable at a moderate motor stage of Parkinsonism. In vivo GCaMP6f imaging revealed that impaired skilled movement was associated with reduced cellular activity and movement responsiveness of M1 pyramidal neurons at a moderate motor stage of Parkinsonism. While both the corticospinal (CSp) and intratelencephalic (IT) neurons send glutamatergic inputs to the striatum, only the CSp neurons showed a selective and significant reduction in cellular activity and movement responsiveness during reaches. At the population level, we found that M1 pyramidal neurons include heterogeneous functional clusters with distinct temporal profiles in response to skilled movement. While movement encoding by different functional clusters is longitudinally stable in control mice, it degrades and diverges significantly in MitoPark mice. The impaired stability is further supported by a longitudinal analysis of individual neuronal activity related to movements. Together, these results provide novel insights into the emergence of M1 circuit pathophysiology at cellular and neural population levels during progressive Parkinsonism.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Brain
154 papers in training set
Top 0.1%
32.6%
2
Neurobiology of Disease
134 papers in training set
Top 0.5%
10.0%
3
npj Parkinson's Disease
89 papers in training set
Top 0.4%
8.3%
50% of probability mass above
4
Cell Reports
1338 papers in training set
Top 14%
3.8%
5
Movement Disorders
62 papers in training set
Top 0.5%
3.5%
6
Experimental Neurology
57 papers in training set
Top 0.3%
3.0%
7
The Journal of Neuroscience
928 papers in training set
Top 5%
2.1%
8
Acta Neuropathologica
51 papers in training set
Top 0.6%
1.9%
9
Neurobiology of Aging
95 papers in training set
Top 1%
1.9%
10
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 30%
1.9%
11
Nature Communications
4913 papers in training set
Top 51%
1.8%
12
Brain Communications
147 papers in training set
Top 2%
1.7%
13
Science Advances
1098 papers in training set
Top 18%
1.7%
14
eneuro
389 papers in training set
Top 6%
1.6%
15
Annals of Neurology
57 papers in training set
Top 1%
1.5%
16
eLife
5422 papers in training set
Top 48%
1.3%
17
NeuroImage: Clinical
132 papers in training set
Top 3%
1.2%
18
Journal of Clinical Investigation
164 papers in training set
Top 5%
0.9%
19
Frontiers in Neuroscience
223 papers in training set
Top 6%
0.9%
20
Science Translational Medicine
111 papers in training set
Top 6%
0.8%
21
Aging Cell
144 papers in training set
Top 3%
0.7%
22
Molecular Neurodegeneration
49 papers in training set
Top 0.9%
0.7%
23
JCI Insight
241 papers in training set
Top 8%
0.7%
24
Cell Reports Medicine
140 papers in training set
Top 8%
0.7%
25
Journal of Parkinson's Disease
13 papers in training set
Top 0.4%
0.7%
26
Scientific Reports
3102 papers in training set
Top 76%
0.7%
27
Human Molecular Genetics
130 papers in training set
Top 4%
0.7%
28
Progress in Neurobiology
41 papers in training set
Top 2%
0.7%
29
Nature Aging
51 papers in training set
Top 2%
0.6%
30
Advanced Science
249 papers in training set
Top 22%
0.6%