Frequency of Depression and Suicidality in Patients with Neurological Disorders: Epilepsy, Parkinson’s Disease, and Ischemic Stroke

2016 ◽  
Vol 34 (3) ◽  
pp. 193-200 ◽  
Author(s):  
Kyoung Jin Hwang ◽  
Eun Hwa Kim ◽  
You Jin Kim ◽  
Seung Bong Hong
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Ischemic Stroke ◽  
Neurological Disorders

Analysis of Functional and Cognitive Impairment in Institutionalized Individuals with Movement Disorders

2019 ◽  
Vol 19 (7) ◽  
pp. 1022-1031 ◽  
Author(s):  
Paula D. Cebrián ◽  
Omar Cauli
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Activities Of Daily Living ◽  
Cognitive Performance ◽  
Functional Impairment ◽  
Movement Disorders ◽  
Neurological Disorders ◽  
Daily Living ◽  
Severe Cognitive Impairment

Background: Many neurological disorders lead to institutionalization and can be accompanied in their advanced stages by functional impairment, and progressive loss of mobility, and cognitive alterations. Objective: We analyzed the relationship between functional impairment and cognitive performance and its related subdomains in individuals with Parkinson’s disease, Alzheimer’s disease accompanied by motor dysfunction, and with other neurological disorders characterized by both motor and cognitive problems. Methods: All participants lived in nursing homes (Valencia, Spain) and underwent cognitive evaluation with the Mini-Mental State Examination; functional assessment of independence in activities of daily living using the Barthel score and Katz index; and assessment of mobility with the elderly mobility scale. Results: The mean age of the subjects was 82.8 ± 0.6 years, 47% of the sample included individuals with Parkinson’s disease, and 48 % of the sample presented severe cognitive impairment. Direct significant relationships were found between the level of cognitive impairment and functional capacity (p < 0.01) and mobility (p < 0.05). Among the different domains, memory impairment was not associated with altered activities of daily living or mobility. The functional impairment and the risk of severe cognitive impairment were significantly (p<0.05) higher in female compared to male patients. Among comorbidities, overweight/obesity and diabetes were significantly (p < 0.05) associated with poor cognitive performance in those individuals with mild/moderate cognitive impairment. Conclusion: In institutionalized individuals with movement disorders there is an association between functional and cognitive impairment. Reduction of over-weight and proper control of diabetes may represent novel targets for improving cognitive function at such early stages.

scholarly journals Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Manan Binth Taj Noor ◽  
Nusrat Zerin Zenia ◽  
M Shamim Kaiser ◽  
Shamim Al Mamun ◽  
Mufti Mahmud
Keyword(s):  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Deep Learning ◽  
Magnetic Resonance ◽  
Neurological Disorders ◽  
Magnetic Resonance Images ◽  
Future Research ◽  
Comparative Performance

Abstract Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an important role in understanding brain functionalities and its disorders during the last couple of decades. These cutting-edge MRI scans, supported by high-performance computational tools and novel ML techniques, have opened up possibilities to unprecedentedly identify neurological disorders. However, similarities in disease phenotypes make it very difficult to detect such disorders accurately from the acquired neuroimaging data. This article critically examines and compares performances of the existing deep learning (DL)-based methods to detect neurological disorders—focusing on Alzheimer’s disease, Parkinson’s disease and schizophrenia—from MRI data acquired using different modalities including functional and structural MRI. The comparative performance analysis of various DL architectures across different disorders and imaging modalities suggests that the Convolutional Neural Network outperforms other methods in detecting neurological disorders. Towards the end, a number of current research challenges are indicated and some possible future research directions are provided.

scholarly journals A-079 Hand Preference in Men and Women with Parkinson’s Disease: A Preliminary Investigation

2020 ◽  
Vol 35 (6) ◽  
pp. 871-871
Author(s):  
Ryan J ◽  
Kreiner D ◽  
Gontkovsky S ◽  
Paolo A
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Neurological Disorders ◽  
Rating Scale ◽  
Preliminary Investigation ◽  
Hand Preference ◽  
Dominant Hand ◽  
Healthy Individuals ◽  
Left Handed ◽  
Increased Risk

Abstract Objective Research has identified common genetic influences on handedness and neurological/mental health phenotypes. It also has been shown there may be increased risk for development of neurological disorders/diseases among individuals naturally left-handed or demonstrating non-right-hand preference. This investigation examined prevalence of right-handed versus non-right-handed individuals with Parkinson’s disease (PD) compared to controls. Method Participants were 264 patients with PD (mean age = 69.83 years) and 256 control volunteers (mean age = 71.42 years). Mean Dementia Rating Scale composites for the groups were 123.68 and 136.00, respectively. Participants self-identified their dominant hand for writing and usage was confirmed during the session. Results Proportions of non-right- and right-handed controls (7.0% and 93.0%) versus individuals with PD (6.8% and 93.2%) did not differ. Changes in proportions of non-right- and right-handedness across age ranges were not significant for controls or patients. There was a trend for a larger proportion of women (55.9%) versus men among controls (44.1%), □ 2 (1) = 3.29, p &lt; .10; whereas, the proportion of men (64.4%) with PD was larger than that of women. (35.6%), □ 2 (1) = 21.31, p &lt; .001. For controls and patients, non-right and right handedness gender proportions were similar. Conclusions This study is the first to assess handedness prevalence rates in PD. Results suggest prevalence of non-right handedness is similar in PD and healthy individuals and does not appear to differ markedly by gender or with advancing age. The occurrence of a trend for a larger proportion of women than men among controls is consistent with census-based statistics.

Parkinson’s Disease and Ischemic Stroke: a Bidirectional Mendelian Randomization Study

2022 ◽  
Author(s):  
Shiyuan Fang ◽  
Xinzhi Hu ◽  
Tao Wang ◽  
Yutong Yang ◽  
Ran Xu ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Ischemic Stroke ◽  
Mendelian Randomization

scholarly journals Natural Compounds for the Management of Parkinson’s Disease and Attention-Deficit/Hyperactivity Disorder

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Juan Carlos Corona
Keyword(s):  
Oxidative Stress ◽  
Parkinson’S Disease ◽  
Attention Deficit Hyperactivity Disorder ◽  
Parkinson's Disease ◽  
Side Effects ◽  
Attention Deficit ◽  
Neurological Disorders ◽  
Natural Compounds ◽  
Hyperactivity Disorder ◽  
Increased Risk

Parkinson’s disease (PD) is the second most common neurodegenerative disorder with an unknown aetiology. The pathogenic mechanisms include oxidative stress, mitochondrial dysfunction, protein dysfunction, inflammation, autophagy, apoptosis, and abnormal deposition of α-synuclein. Currently, the existing pharmacological treatments for PD cannot improve fundamentally the degenerative process of dopaminergic neurons and have numerous side effects. On the other hand, attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder of childhood and is characterised by hyperactivity, impulsivity, and inattention. The aetiology of ADHD remains unknown, although it has been suggested that its pathophysiology involves abnormalities in several brain regions, disturbances of the catecholaminergic pathway, and oxidative stress. Psychostimulants and nonpsychostimulants are the drugs prescribed for the treatment of ADHD; however, they have been associated with increased risk of substance use and have several side effects. Today, there are very few tools available to prevent or to counteract the progression of such neurological disorders. Thus, therapeutic approaches with high efficiency and fewer side effects are needed. This review presents a brief overview of the two neurological disorders and their current treatments, followed by a discussion of the natural compounds which have been studied as therapeutic agents and the mechanisms underlying the beneficial effects, in particular, the decrease in oxidative stress.

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