首页|Beijing Institute of Technology Reports Findings in Parkinson's Disease (Functio nal and structural gradients reveal atypical hierarchical organization of Parkin son's disease)
Beijing Institute of Technology Reports Findings in Parkinson's Disease (Functio nal and structural gradients reveal atypical hierarchical organization of Parkin son's disease)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Neurodegenerative Dise ases and Conditions - Parkinson's Disease is the subject of a report. According to news reporting from Beijing,People's Republic of China,by NewsRx journalist s,research stated,"Parkinson's disease (PD) patients exhibit deficits in prima ry sensorimotor and higher-order executive functions. The gradient reflects the functional spectrum in sensorimotor-associated areas of the brain." Financial supporters for this research include Fundamental Research Funds for th e Central Universities,National Natural Science Foundation of China. The news correspondents obtained a quote from the research from the Beijing Inst itute of Technology,"We aimed to determine whether the gradient is disrupted in PD patients and how this disruption is associated with treatment outcome. Seven ty-six patients (mean age,59.2 ? 12.4 years [standard deviat ion],44 women) and 34 controls participants (mean age,58.1 ? 10.0 years [standard deviation],19 wome n) were evaluated. We explored functional and structural gradients in PD patient s and control participants. Patients were followed during 2 weeks of multidiscip linary intensive rehabilitation therapy (MIRT). The Unified Parkinson's Disease Rating Scale Part III (UPDRS-III) was administered to patients before and after treatment. We investigated PD-related alterations in the principal functional an d structural gradients. We further used a support vector machine (SVM) and corre lation analysis to assess the classification ability and treatment outcomes rela ted to PD gradient alterations,respectively. The gradients showed significant d ifferences between patients and control participants,mainly in somatosensory an d visual networks involved in primary function,and higher-level association net works (dorsal attentional network (DAN) and default mode network (DMN)) related to motor control and execution. On the basis of the combined functional and stru ctural gradient features of these networks,the SVM achieved an accuracy of 91.2 % in discriminating patients from control participants. Treatment reduced the gradient difference. The altered gradient exhibited a significant co rrelation with motor improvement and was mainly distributed across the visual ne twork,DAN and DMN. This study revealed damage to gradients in the brain charact erized by sensorimotor and executive control deficits in PD patients."
BeijingPeople's Republic of ChinaAsi aBasal Ganglia Diseases and ConditionsBrain Diseases and ConditionsCentral Nervous System Diseases and ConditionsHealth and MedicineMovement DisordersNervous System Diseases and ConditionsNeurodegenerative Diseases and Conditi onsParkinson's DiseaseParkinsonian Disorders
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