Are rigidity and tremor two sides of the same coin in Parkinson's disease?

Mashhadimalek, Maysam; Towhidkhah, Farzad; Gharibzadeh, Shahriar; Daeichin, Verya; Ahmadi-Pajouh, Mohammad Ali

doi:10.1016/j.compbiomed.2008.08.007

Cited by 16 publications

(11 citation statements)

References 11 publications

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“…SMA has an inhibitory effect on cortex in normal state. However, in PD state this inhibitory effect decreases and has an excitatory effect on cortex [3].…”

Section: Cortex Modelmentioning

confidence: 96%

“…The Parkinson's disease was first described in 1817 by James Parkinson [1]. This disease is related to central nervous system and is caused by death of dopaminegenerating cells in the substantia nigra pars compacta (SNc) which is a region of basal ganglia [2,3]. PD develops gradually and can be recognized by four symptoms which are rest tremor, rigidity, bradykinesia and postural instability [1,3].…”

Section: Introductionmentioning

confidence: 99%

“…Tremor is the most common and well-known symptom of disease which is usually a rest tremor. The frequency of rest tremor in PD is between 4 and 6 HZ [2,3]. PD changes electrophysiological activities in basal gangliathalamocortical system (BGTCS) [4].…”

Section: Introductionmentioning

confidence: 99%

“…MashhadiMalek et al [3] investigated the relationship between rigidity and tremor in PD. They considered central and peripheral nervous parts and muscle model.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Improved Modeling of Parkinson’s Tremor and Investigation of Some Approaches to Remove this Symptom

Ghoreishian

Pooyan

2021

IJE

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“…SMA has an inhibitory effect on cortex in normal state. However, in PD state this inhibitory effect decreases and has an excitatory effect on cortex [3].…”

Section: Cortex Modelmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…MashhadiMalek et al [3] investigated the relationship between rigidity and tremor in PD. They considered central and peripheral nervous parts and muscle model.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Improved Modeling of Parkinson’s Tremor and Investigation of Some Approaches to Remove this Symptom

Ghoreishian

Pooyan

2021

IJE

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“…The second main research strand involves developing sufficiently rich computational models of the basal ganglia (BG) [7], [8] to allow numerical studies of the closed loop problem. In addition to this, efforts have also been addressed to simulate the peripheral or/and the central nervous system by using transfer functions [9], [10], [11], [12], although usually without considering the effect of DBS on the central loops.…”

Section: Introductionmentioning

confidence: 99%

Deep brain stimulation may reduce tremor by preferential blockade of slower axons via antidromic activation

García

Verwoerd

Pearlmutter

et al. 2011

IEEE Conference on Decision and Control and European Control Conference

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Abstract-Deep brain stimulation (DBS) has been used to ameliorate essential and Parkinsonian tremor, however the detailed mechanism by which tremor reduction is achieved remains unclear. We hypothesize that DBS works by reducing time delays in the feedback paths of the motor control loops. In particular, we suggest that antidromic activation of axonal pathways induced by stimulation will preferentially block axons with longer propagation times, reducing time delays in neuronal motor circuits in a stabilising manner. We demonstrate the plausibility of this hypothesis using two simple computational models which account for a variety of experimental results, and allow us to makes a number of testable predictions.

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A possible correlation between the basal ganglia motor function and the inverse kinematics calculation

2017

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The main hypothesis of this study, based on experimental data showing the relations between the BG activities and kinematic variables, is that BG are involved in computing inverse kinematics (IK) as a part of planning and decision-making. Indeed, it is assumed that based on the desired kinematic variables (such as velocity) of a limb in the workspace, angular kinematic variables in the joint configuration space are calculated. Therefore, in this paper, a system-level computational model of BG is proposed based on geometrical rules, which is able to compute IK. Next, the functionality of each part in the presented model is interpreted as a function of a nucleus or a pathway of BG. Moreover, to overcome existing redundancy in possible trajectories, an optimization problem minimizing energy consumption is defined and solved to select an optimal movement trajectory among an infinite number of possible ones. The validity of the model is checked by simulating it to control a three-segment manipulator with rotational joints in a plane. The performance of the model is studied for different types of movement including different reaching movements, a continuous circular movement and a sequence of tracking movements. Furthermore, to demonstrate the physiological similarity of the presented model to the BG structure, the neuronal activity of each part of the model considered as a BG nucleus is verified. Some changes in model parameters, inspired by the dopamine deficiency, also allow simulating some symptoms of Parkinson's disease such as bradykinesia and akinesia.

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Are rigidity and tremor two sides of the same coin in Parkinson's disease?

Cited by 16 publications

References 11 publications

An Improved Modeling of Parkinson’s Tremor and Investigation of Some Approaches to Remove this Symptom

An Improved Modeling of Parkinson’s Tremor and Investigation of Some Approaches to Remove this Symptom

Deep brain stimulation may reduce tremor by preferential blockade of slower axons via antidromic activation

A possible correlation between the basal ganglia motor function and the inverse kinematics calculation

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