Specificity of basal ganglia activation patterns to movement conditions in medicated Parkinson's disease patients and healthy controls

The postural adaptation impairments of patients with Parkinson's disease (PD) suggest that the basal ganglia may be important for quickly modifying muscle activation patterns when the direction of perturbation or stance conditions suddenly change. It is unknown whether their particular instability to backward postural perturbations is due to specific abnormalities of parkinsonian postural muscle synergies in that direction and not present in other directions. In the present study, we test this hypothesis by comparing the patterns of leg and trunk muscle activation in13 subjects with PD and 13 control subjects in response to eight randomly presented directions of horizontal surface translations while standing with either narrow or wide stance. The direction of maximum activation for each muscle was similar for PD and control subjects, suggesting that the basal ganglia is not critical for programming externally triggered postural synergies. However, antagonist muscle activation was earlier and larger in PD than in control subjects, resulting in coactivation. PD subjects also did not increase the magnitude of muscle activation as much as did control subjects when changing from wide to narrow stance. These results are consistent with the hypothesis that PD results in an inability to shape the pattern and magnitude of postural muscle responses for changes in perturbation direction and in stance position.

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Differences in Connectivity among the Basal Ganglia, Cerebellum, and Supplementary Motor Area in Parkinson's Disease and Healthy Controls during Predictive Motor Timing (PD4.002)

Neurology ◽

10.1212/wnl.78.1_meetingabstracts.pd4.002 ◽

2012 ◽

Vol 78 (Meeting Abstracts 1) ◽

pp. PD4.002-PD4.002

Author(s):

M. Bares ◽

I. Husarova ◽

M. Mikl ◽

O. Lungu ◽

R. Marecek ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Basal Ganglia ◽

Supplementary Motor Area ◽

Motor Area ◽

Healthy Controls ◽

Motor Timing

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Differences in Connectivity among the Basal Ganglia, Cerebellum, and Supplementary Motor Area in Parkinson's Disease and Healthy Controls during Predictive Motor Timing (IN6-1.006)

Neurology ◽

10.1212/wnl.78.1_meetingabstracts.in6-1.006 ◽

2012 ◽

Vol 78 (Meeting Abstracts 1) ◽

pp. IN6-1.006-IN6-1.006

Author(s):

M. Bares ◽

I. Husarova ◽

M. Mikl ◽

O. Lungu ◽

R. Marecek ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Basal Ganglia ◽

Supplementary Motor Area ◽

Motor Area ◽

Healthy Controls ◽

Motor Timing

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Distribution and Modulation of Histamine H3 Receptors in Basal Ganglia and Frontal Cortex of Healthy Controls and Patients with Parkinson's Disease

Neurobiology of Disease ◽

10.1006/nbdi.2001.0413 ◽

2001 ◽

Vol 8 (4) ◽

pp. 707-716 ◽

Cited By ~ 78

Author(s):

Oleg V. Anichtchik ◽

Nina Peitsaro ◽

Juha O. Rinne ◽

Hannu Kalimo ◽

Pertti Panula

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Basal Ganglia ◽

Frontal Cortex ◽

Healthy Controls ◽

Histamine H3 Receptors ◽

H3 Receptors ◽

Histamine H3

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INVESTIGATION OF MOTOR LEARNING IN PARKINSON'S DISEASE USING AN ACTION ACQUISITION TASK

Journal of Neurology Neurosurgery & Psychiatry ◽

10.1136/jnnp-2015-312379.175 ◽

2015 ◽

Vol 86 (11) ◽

pp. e4.85-e4

Author(s):

Conor Fearon ◽

Louise Newman ◽

Brendan Quinlivan ◽

John Butler ◽

Tim Lynch ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Basal Ganglia ◽

Motor Learning ◽

Healthy Controls ◽

Target Task ◽

Acquisition Task ◽

Multiple Structures ◽

Computer Based ◽

Dopamine Signaling

Movement learning is complex, involving multiple structures including cortex, cerebellum and the basal ganglia. In idiopathic Parkinson's disease (PD) there is initial loss of dopaminergic innervation to the caudal putamen, which governs habitual movement. With disease progression, however, this spreads to involve more anterior regions of the basal ganglia involved in goal-directed behaviour.Given the loss of phasic dopamine signaling in these areas we expect motor learning to be impaired in PD. The goal of this study is to investigate movement learning in PD and healthy controls using a computer-based action acquisition task.A cohort of PD patients and age-matched healthy controls were asked to repeatedly manipulate a joystick in order to move an unseen cursor on a computer screen, initially to a seen target (task 1) and then to an unseen target (task 2). By examining how these movements are refined in order to locate the target from task 1 to task 2 (which requires action selection by the basal ganglia) we quantify the rate at which movements are learned.The results show differences in parameters associated with the execution of the action acquisition task for the PD cohort when compared to healthy controls, supporting impaired motor learning in PD.

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Parkinson’s disease: deep learning with a parameter-weighted structural connectome matrix for diagnosis and neural circuit disorder investigation

Neuroradiology ◽

10.1007/s00234-021-02648-4 ◽

2021 ◽

Author(s):

Koichiro Yasaka ◽

Koji Kamagata ◽

Takashi Ogawa ◽

Taku Hatano ◽

Haruka Takeshige-Amano ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Deep Learning ◽

Basal Ganglia ◽

Neural Circuit ◽

Characteristic Curve ◽

Diffusion Kurtosis Imaging ◽

Healthy Controls ◽

Structural Connectome ◽

Learning Technique

Abstract Purpose To investigate whether Parkinson’s disease (PD) can be differentiated from healthy controls and to identify neural circuit disorders in PD by applying a deep learning technique to parameter-weighted and number of streamlines (NOS)–based structural connectome matrices calculated from diffusion-weighted MRI. Methods In this prospective study, 115 PD patients and 115 healthy controls were enrolled. NOS-based and parameter-weighted connectome matrices were calculated from MRI images obtained with a 3-T MRI unit. With 5-fold cross-validation, diagnostic performance of convolutional neural network (CNN) models using those connectome matrices in differentiating patients with PD from healthy controls was evaluated. To identify the important brain connections for diagnosing PD, gradient-weighted class activation mapping (Grad-CAM) was applied to the trained CNN models. Results CNN models based on some parameter-weighted structural matrices (diffusion kurtosis imaging (DKI)–weighted, neurite orientation dispersion and density imaging (NODDI)–weighted, and g-ratio-weighted connectome matrices) showed moderate performance (areas under the receiver operating characteristic curve (AUCs) = 0.895, 0.801, and 0.836, respectively) in discriminating PD patients from healthy controls. The DKI-weighted connectome matrix performed significantly better than the conventional NOS-based matrix (AUC = 0.761) (DeLong’s test, p < 0.0001). Alterations of neural connections between the basal ganglia and cerebellum were indicated by applying Grad-CAM to the NODDI- and g-ratio-weighted matrices. Conclusion Patients with PD can be differentiated from healthy controls by applying the deep learning technique to the parameter-weighted connectome matrices, and neural circuit disorders including those between the basal ganglia on one side and the cerebellum on the contralateral side were visualized.

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Changes in metabotropic glutamate receptor expression in the basal ganglia of Parkinson's disease models

Neuroscience Research ◽

10.1016/s0168-0102(00)81571-0 ◽

2000 ◽

Vol 38 ◽

pp. S121

Author(s):

M Takada

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Basal Ganglia ◽

Glutamate Receptor ◽

Metabotropic Glutamate Receptor ◽

Receptor Expression ◽

Disease Models ◽

Metabotropic Glutamate

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SPECT-Befunde bei Hemiparkinson-Syndrom mit 99mTc-HMPAO

Nuklearmedizin ◽

10.1055/s-0038-1629476 ◽

1989 ◽

Vol 28 (03) ◽

pp. 92-94 ◽

Cited By ~ 1

Author(s):

C. Neumann ◽

H. Baas ◽

R. Hefner ◽

G. Hör

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Basal Ganglia ◽

Neuronal Activity ◽

Tracer Uptake ◽

The Body ◽

99Mtc Hmpao ◽

Do So

The symptoms of Parkinson’s disease often begin on one side of the body and continue to do so as the disease progresses. First SPECT results in 4 patients with hemiparkinsonism using 99mTc-HMPAO as perfusion marker are reported. Three patients exhibited reduced tracer uptake in the contralateral basal ganglia One patient who was under therapy for 1 year, showed a different perfusion pattern with reduced uptake in both basal ganglia. These results might indicate reduced perfusion secondary to reduced striatal neuronal activity.

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