Surgical treatments for Parkinson’s disease

2021 ◽  
Vol 26 (4) ◽  
pp. 4-14
Author(s):  
A. S. Tokarev ◽  
E. N. Rozhnova ◽  
M. V. Sinkin ◽  
A. A. Tomskiy ◽  
V. A. Rak ◽  
...  

Parkinson’s disease (PD) is a progressive, incurable degenerative disease of the central nervous system, leading to a significant limitation of the functional state of patients. Modern medicine has several methods of medical and surgical treatment for this pathology. In the review, all stages of the surgical treatment of PD are considered, starting with the descriptions of the resection of the precentral gyrus of historical interest to stereotaxic lesions by various methods of exposure and electrical stimulation of the deep brain structures. The indications for each of the methods, their advantages and disadvantages, the principles of patient selection are presented. Indications for neurosurgical treatment are determined taking into account the international CAPSIT-PD criteria. Stereotactic lesions lead to irreversible changes in the medulla, therefore their widespread use is limited. Stimulation with deep electrodes has advantages in disease progression due to the possibility of changing the stimulation parameters and the possibility of a bilateral effect on motor symptoms. Surgical treatment of PD does not mean the cancelling of drug therapy, but it can reduce the dose of anti-Parkinsonian drugs and reduce their side effects. The best result can be achieved with timely operation and correct selection of patients by a multidisciplinary medical team with considering the characteristics of the course of the disease, the possibility of long-term postoperative observation of the patient and correction of stimulation parameters.

2021 ◽  
Vol 70 (09) ◽  
pp. 14-19
Author(s):  
Elcin Nizami Huseyn ◽  

The study involved 56 patients with advanced and late stages of Parkinson's disease, which could be considered as potentially requiring neurosurgical treatment - electrical stimulation of deep brain structures. An algorithm has been developed for selecting patients with advanced and late stages of Parkinson's disease for neurological treatment-implantation of a system for electrical stimulation of deep brain structures in distant neurosurgical centers, which includes two stages for patients with limited mobility-outpatient and inpatient. The development of an algorithm for referral to neurological treatment has shortened the “path” of a patient with limited mobility from a polyclinic to a neurological center. Electro stimulation of deep brain structures in Parkinson's disease significantly improved the condition of patients - to increase functional activity by 55%, reduce the severity of motor disorders by 55%, and reduce the dose of levodopa drugs by half. Key words: Electrostimulation of deep brain structures, Parkinson's disease, patient selection


2019 ◽  
Vol 5 (1) ◽  
pp. 9-12
Author(s):  
Jyothsna Kondragunta ◽  
Christian Wiede ◽  
Gangolf Hirtz

AbstractBetter handling of neurological or neurodegenerative disorders such as Parkinson’s Disease (PD) is only possible with an early identification of relevant symptoms. Although the entire disease can’t be treated but the effects of the disease can be delayed with proper care and treatment. Due to this fact, early identification of symptoms for the PD plays a key role. Recent studies state that gait abnormalities are clearly evident while performing dual cognitive tasks by people suffering with PD. Researches also proved that the early identification of the abnormal gaits leads to the identification of PD in advance. Novel technologies provide many options for the identification and analysis of human gait. These technologies can be broadly classified as wearable and non-wearable technologies. As PD is more prominent in elderly people, wearable sensors may hinder the natural persons movement and is considered out of scope of this paper. Non-wearable technologies especially Image Processing (IP) approaches captures data of the person’s gait through optic sensors Existing IP approaches which perform gait analysis is restricted with the parameters such as angle of view, background and occlusions due to objects or due to own body movements. Till date there exists no researcher in terms of analyzing gait through 3D pose estimation. As deep leaning has proven efficient in 2D pose estimation, we propose an 3D pose estimation along with proper dataset. This paper outlines the advantages and disadvantages of the state-of-the-art methods in application of gait analysis for early PD identification. Furthermore, the importance of extracting the gait parameters from 3D pose estimation using deep learning is outlined.


2018 ◽  
Vol 27 (S1) ◽  
pp. 101-108 ◽  
Author(s):  
Fabio Galbusera ◽  
Tito Bassani ◽  
Elena Stucovitz ◽  
Carlotta Martini ◽  
Maryem-Fama Ismael Aguirre ◽  
...  

Diagnostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 339 ◽  
Author(s):  
Oxana P. Trifonova ◽  
Dmitri L. Maslov ◽  
Elena E. Balashova ◽  
Guzel R. Urazgildeeva ◽  
Denis A. Abaimov ◽  
...  

Parkinson’s disease is the second most frequent neurodegenerative disease, representing a significant medical and socio-economic problem. Modern medicine still has no answer to the question of why Parkinson’s disease develops and whether it is possible to develop an effective system of prevention. Therefore, active work is currently underway to find ways to assess the risks of the disease, as well as a means to extend the life of patients and improve its quality. Modern studies aim to create a method of assessing the risk of occurrence of Parkinson’s disease (PD), to search for the specific ways of correction of biochemical disorders occurring in the prodromal stage of Parkinson’s disease, and to personalize approaches to antiparkinsonian pharmacotherapy. In this review, we summarized all available clinically approved tests and techniques for PD diagnostics. Then, we reviewed major improvements and recent advancements in genomics, transcriptomics, and proteomics studies and application of metabolomics in PD research, and discussed the major metabolomics findings for diagnostics and therapy of the disease.


2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Soutarou Taguchi ◽  
Nachi Tanabe ◽  
Jun-ichi Niwa ◽  
Manabu Doyu

Little is known about the relationship between regional cerebral blood flow (rCBF) change and clinical improvement in patients with Parkinson’s disease (PD). Single-photon emission computed tomography (SPECT) measurement of cerebral blood flow allows evaluation of temporal changes in brain function, and using SPECT, we aimed to identify motor improvement-related rCBF changes in response to the administration of antiparkinsonian drugs. Thirty PD patients (16 without dementia; 14 with dementia) were scanned with technetium-99m labeled ethyl cysteinate dimer SPECT and were rated with the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale part III, both before and after a single administration of antiparkinsonian drugs. The SPECT data were processed using Statistical Parametric Mapping 2, the easy Z-score Imaging System, and voxel-based Stereotactic Extraction Estimation. The rCBF responses in the deep brain structures after administration of antiparkinsonian drugs tended to be larger than those in cortical areas. Among these deep brain structures, the rCBF increases in the substantia nigra (SN), lateral geniculate (LG) body, and medial geniculate (MG) body correlated with drug efficacy (p<0.05, respectively). A subgroup analysis revealed that the motor improvement-related rCBF change in the MG was statistically significant, irrespective of cognitive function, but the significant changes in the LG and SN were not found in subjects with dementia. In conclusion, our SPECT study clearly exhibited drug-driven rCBF changes in PD patients, and we newly identified motor improvement-related rCBF changes in the LG and MG. These results suggest that rCBF changes in these regions could be considered as candidates for clinical indicators for objective evaluation of disease progression. Furthermore, functional studies focusing on the LG and MG, especially in relation to therapies using audio-visual stimuli, may bring some new clues to explain the pathophysiology of PD.


Scoliosis ◽  
2015 ◽  
Vol 10 (S1) ◽  
Author(s):  
Yasumasa Ohyama ◽  
Takahiro Iida ◽  
Junya Katayanagi ◽  
Ken Mine ◽  
Kazuyuki Matsumoto ◽  
...  

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