scholarly journals Cerebellar Purkinje cell microcircuits are essential for tremor

2019 ◽  
Author(s):  
Amanda M Brown ◽  
Joshua J White ◽  
Meike E van der Heijden ◽  
Tao Lin ◽  
Roy V Sillitoe

AbstractTremor is currently ranked as the most common movement disorder. The brain regions and neural signals that initiate the debilitating shakiness of different body parts remain unclear. Here, we found that genetically silencing cerebellar Purkinje cell activity blocked tremor in mice that were given the tremorgenic drug harmaline. We show in awake behaving mice that the onset of tremor is coincident with rhythmic Purkinje cell firing, which alters the output of their target cerebellar nuclei cells. We mimic the tremorgenic action of the drug with optogenetics and present evidence that highly patterned Purkinje cell activity drives a powerful tremor in otherwise normal mice. Modulating the altered activity with deep brain stimulation directed to the Purkinje cell output in the cerebellar nuclei reduced tremor in freely moving mice. Together, the data implicate Purkinje cell connectivity as a neural substrate for tremor and a gateway for signals that mediate the disease.

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Amanda M Brown ◽  
Joshua J White ◽  
Meike E van der Heijden ◽  
Joy Zhou ◽  
Tao Lin ◽  
...  

Tremor is currently ranked as the most common movement disorder. The brain regions and neural signals that initiate the debilitating shakiness of different body parts remain unclear. Here, we found that genetically silencing cerebellar Purkinje cell output blocked tremor in mice that were given the tremorgenic drug harmaline. We show in awake behaving mice that the onset of tremor is coincident with rhythmic Purkinje cell firing, which alters the activity of their target cerebellar nuclei cells. We mimic the tremorgenic action of the drug with optogenetics and present evidence that highly patterned Purkinje cell activity drives a powerful tremor in otherwise normal mice. Modulating the altered activity with deep brain stimulation directed to the Purkinje cell output in the cerebellar nuclei reduced tremor in freely moving mice. Together, the data implicate Purkinje cell connectivity as a neural substrate for tremor and a gateway for signals that mediate the disease.


2000 ◽  
Vol 407 (1-2) ◽  
pp. 91-100 ◽  
Author(s):  
Carlos A Jiménez-Rivera ◽  
Omayra Segarra ◽  
Zoraya Jiménez ◽  
Barry D Waterhouse

2020 ◽  
Author(s):  
Skyler L Jackman ◽  
Christopher H Chen ◽  
Heather L Offermann ◽  
Iain R Drew ◽  
Bailey M Harrison ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zaisheng Liu ◽  
Fei Ni ◽  
Rongpeng Li ◽  
Honggang Zhang ◽  
Chang Liu ◽  
...  

The neuropsychological characteristics inside the brain are still not sufficiently understood in previous Gestalt psychological analyses. In particular, the extraction and analysis of human brain consciousness information itself have not received enough attention for the time being. In this paper, we aim to investigate the features of EEG signals from different conscious thoughts. Specifically, we try to extract the physiologically meaningful features of the brain responding to different contours and shapes in images in Gestalt cognitive tests by combining persistent homology analysis with electroencephalogram (EEG). The experimental results show that more brain regions in the frontal lobe are involved when the subject perceives the random and disordered combination of images compared to the ordered Gestalt images. Meanwhile, the persistence entropy of EEG data evoked by random sequence diagram (RSD) is significantly different from that evoked by the ordered Gestalt (GST) images in several frequency bands, which indicate that the human cognition of the shape and contour of images can be separated to some extent through topological analysis. This implies the feasibility to digitize the neural signals while preserving the whole and local features of the original signals, which are further verified by our extensive experiments. In general, this paper evaluates and quantifies cognitively related neural correlates by persistent homology features of EEG signals, which provides an approach to realizing the digitization of neural signals. Preliminary verification of the analyzability of human consciousness signals provides reliable research ideas and directions for the realization of feature extraction and analysis of human brain consciousness cognition.


2015 ◽  
Vol 764 ◽  
pp. 87-93 ◽  
Author(s):  
Ri Jin ◽  
Heng Liu ◽  
Wen-Zhe Jin ◽  
Jin-Di Shi ◽  
Qing-Hua Jin ◽  
...  

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