| 1. |
- Aghanavesi, Somayeh, 1981-, et al.
(författare)
-
Feasibility of Using Dynamic Time Warping to Measure Motor States in Parkinson’s Disease
- 2020
-
Ingår i: Journal of Sensors. - London : Hindawi Publishing Corporation. - 1687-725X .- 1687-7268. ; , s. 1-14
-
Tidskriftsartikel (refereegranskat)abstract
- The aim of this paper is to investigate the feasibility of using the Dynamic Time Warping (DTW) method to measure motor states in advanced Parkinson's disease (PD). Data were collected from 19 PD patients who experimented leg agility motor tests with motion sensors on their ankles once before and multiple times after an administration of 150% of their normal daily dose of medication. Experiments of 22 healthy controls were included. Three movement disorder specialists rated the motor states of the patients according to Treatment Response Scale (TRS) using recorded videos of the experiments. A DTW-based motor state distance score (DDS) was constructed using the acceleration and gyroscope signals collected during leg agility motor tests. Mean DDS showed similar trends to mean TRS scores across the test occasions. Mean DDS was able to differentiate between PD patients at Off and On motor states. DDS was able to classify the motor state changes with good accuracy (82%). The PD patients who showed more response to medication were selected using the TRS scale, and the most related DTW-based features to their TRS scores were investigated. There were individual DTW-based features identified for each patient. In conclusion, the DTW method can provide information about motor states of advanced PD patients which can be used in the development of methods for automatic motor scoring of PD. © 2020 Somayeh Aghanavesi et al.
|
|
| 2. |
- Butt, Abdul Haleem, et al.
(författare)
-
Speech Assessment for the Classification of Hypokinetic Dysarthria in Parkinson's Disease
- 2014
-
Ingår i: International Journal of Rehabilitation Sciences. - Islamabad : Pakistan Physical Therapy & Rehabilitation Consultsants. - 2308-5363. ; 3:2, s. 45-45
-
Tidskriftsartikel (refereegranskat)abstract
- Background & Objective: Hypokinetic arthria mainly associated with Parkinson’s disease. According to Duffy (1995) range of movement, tongue strength, speech rate and voice onset time for stops are reduced. There is an increase in phoneme to phoneme transitions, in syllable and word duration, and in voicing of voiceless stop. Unfortunately patients have physical limitations to reach the clinicians and speech therapists. So the objective of the study was to develop mobile assessment tool to monitor the speech impairments in patients with Parkinson’s disease.Material And Methods: The data was collected from the study of Goetz et al. (2009), recently summarized in Tsanasetal.(2010a). The data of 120 subjects were collected through the Quantitative Motor Assessment Tool (QMAT) system. Data consisted of both normal and pathological voice. In speech tests, three different types of sentences were spoken by each subject. Each speech test was paired with Unified Parkinson’s Disease Rating Scale (UPDRS) test. 220 twenty audio sample were assessed on the basis of performance of subjects in spoken sentences. The data was used to discriminate healthy and impaired voice in Hypokinetic Dysarthria. For this purpose data is classified in to two classes, Class 0 for healthy voice Class 1 for unhealthy voice. Naïve Bayes classifier (NB) has been used for speech classification. In this proposed system, computerized assessment methods equipped with signal processing and artificial intelligence techniques have been introduced. The sentences used for the measurement of Inter Stress Intervals (ISI) were read by each subject. These sentences were computed for comparisons between normal and impaired voice. The speech features which have been assessed for classification are Energy Entropy, Zero crossing rate (ZCR), Spectral-Centroid, Mean Fundamental-Frequency (Meanf0), Jitter (RAP), Jitter (PPQ), adShimmer (APQ).Results: For speech test-1 and test-2, 72% and 80% accuracies of classification between healthy and impaired speech samples have been achieved respectively using the NB. For speech test-3, 64% correct classification is achieved using the NB.Conclusion: The results direct the possibility of speech impairment classification in PD patients based on the clinical rating scale. Future, research will focused on the classification of speech impairment using Unified Parkinson's Disease Rating Scale (UPDRS). This will be helpful for the self-assessment of Patient with Parkinson (PWP) using the mobile device assessment tool.
|
|
| 3. |
- Etminani, Kobra, 1984-, et al.
(författare)
-
A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimers disease, and mild cognitive impairment using brain 18F-FDG PET
- 2022
-
Ingår i: European Journal of Nuclear Medicine and Molecular Imaging. - New York : Springer. - 1619-7070 .- 1619-7089. ; 49, s. 563-584
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose The purpose of this study is to develop and validate a 3D deep learning model that predicts the final clinical diagnosis of Alzheimers disease (AD), dementia with Lewy bodies (DLB), mild cognitive impairment due to Alzheimers disease (MCI-AD), and cognitively normal (CN) using fluorine 18 fluorodeoxyglucose PET (18F-FDG PET) and compare models performance to that of multiple expert nuclear medicine physicians readers. Materials and methods Retrospective 18F-FDG PET scans for AD, MCI-AD, and CN were collected from Alzheimers disease neuroimaging initiative (556 patients from 2005 to 2020), and CN and DLB cases were from European DLB Consortium (201 patients from 2005 to 2018). The introduced 3D convolutional neural network was trained using 90% of the data and externally tested using 10% as well as comparison to human readers on the same independent test set. The models performance was analyzed with sensitivity, specificity, precision, F1 score, receiver operating characteristic (ROC). The regional metabolic changes driving classification were visualized using uniform manifold approximation and projection (UMAP) and network attention. Results The proposed model achieved area under the ROC curve of 96.2% (95% confidence interval: 90.6-100) on predicting the final diagnosis of DLB in the independent test set, 96.4% (92.7-100) in AD, 71.4% (51.6-91.2) in MCI-AD, and 94.7% (90-99.5) in CN, which in ROC space outperformed human readers performance. The network attention depicted the posterior cingulate cortex is important for each neurodegenerative disease, and the UMAP visualization of the extracted features by the proposed model demonstrates the reality of development of the given disorders. Conclusion Using only 18F-FDG PET of the brain, a 3D deep learning model could predict the final diagnosis of the most common neurodegenerative disorders which achieved a competitive performance compared to the human readers as well as their consensus.
|
|
| 4. |
- Gyrling, Therese, et al.
(författare)
-
The impact of dance activities on the health of persons with Parkinson’s disease in Sweden
- 2021
-
Ingår i: International Journal of Qualitative Studies on Health and Well-being. - Oxfordshire : Taylor & Francis. - 1748-2623 .- 1748-2631. ; 16:1
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose: Parkinson’s disease (PD) is associated with motor and non-motor symptoms that negatively influence the person’s quality of life. To reduce illness and increase quality of life, alternative treatments of PD such as dance might be experienced as beneficial. The aim of this study was to explore experiences of how a dance program in Sweden influences perceived physical, social, and emotional wellbeing in persons with PD. Method: A qualitative method with semi-structured interviews and content analysis was used, and 10 participants with variations in age, gender, and how long they had been diagnosed with the disease were interviewed. Results: The results showed that dancing was experienced as improving health, which implied feeling both calmed and excited, getting better sleep, and being able to move with more focus and freedom. The dance program was experienced as a social context through the importance of community, feelings of togetherness, and being able to compare oneself with others. Experiences of self-support included experiencing increased self-esteem and joy, but also a sense of being confirmed and having structure, which gave meaning to everyday life. Conclusions: To reduce illness and increase quality of life in persons with PD, it is important to investigate alternative treatment methods, and this study shows the importance of participating in a dance program in Sweden for the life situation and health of people with PD. © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
|
|
| 5. |
- Khan, Taha, 1983-, et al.
(författare)
-
A novel method for automatic classification of Parkinson gait severity using front-view video analysis
- 2021
-
Ingår i: Technology and Health Care. - Amsterdam : IOS Press. - 0928-7329 .- 1878-7401. ; 29:4, s. 643-653
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Gait impairment is an essential symptom of Parkinson’s disease (PD). OBJECTIVE: This paper introduces a novel computer-vision framework for automatic classification of the severity of gait impairment using front-view motion analysis. METHODS: Four hundred and fifty-six videos were recorded from 19 PD patients using an RGB camera during clinical gait assessment. Gait performance in each video was rated by a neurologist using the unified Parkinson’s disease rating scale for gait examination (UPDRS-gait). The proposed algorithm detects and tracks the silhouette of the test subject in the video to generate a height signal. Gait features were extracted from the height signal. Feature analysis was performed using the Kruskal-Wallis rank test. A support vector machine was trained using the features to classify the severity levels according to UPDRS-gait in 10-fold cross-validation. RESULTS: Features significantly (p< 0.05) differentiated between median-ranks of UPDRS-gait levels. The SVM classified the levels with a promising area under the ROC of 80.88%. CONCLUSION: Findings support the feasibility of this model for Parkinson’s gait assessment in the home environment. © 2021 - IOS Press. All rights reserved.
|
|
| 6. |
- Khan, Taha, 1983-, et al.
(författare)
-
Prediction of Mild Cognitive Impairment Using Movement Complexity
- 2021
-
Ingår i: IEEE journal of biomedical and health informatics. - Piscataway : Institute of Electrical and Electronics Engineers (IEEE). - 2168-2194 .- 2168-2208. ; 25:1, s. 227-236
-
Tidskriftsartikel (refereegranskat)abstract
- Objective: Aimless movement or wandering may be a symptom of mild cognitive impairment (MCI) that arises as a consequence of confusion and forgetfulness. This paper presents a support vector machine (SVM) framework based on movement analysis for the prediction of the onset and progression of MCI.Methods: Movement data of 22 subjects with MCI, and 22 other healthy subjects, living independently in smart homes were collected for ten years using motion sensors. Features were extracted from the sensor data using movement metrics, including cyclomatic complexity, detrended fluctuation analysis, fractal index, entropy, and room transitions. Two different SVM classification algorithms were trained using the features, first to predict the progression of MCI in the post-transition period, and second to predict the onset of MCI in the pre-transition phase.Results: The two SVMs were able to detect the onset six months earlier than the clinical diagnosis. The model accuracy in classifying MCI increased monotonically from the onset month and reached maximum (81%) at the 11th post-transition month. The features of cyclomatic complexity contributed significantly to the prediction results.Conclusion: Findings support the use of movement complexity measures and machine learning for monitoring cognitive behavior in an independent living environment.© Copyright 2020 IEEE., All rights reserved.
|
|
| 7. |
- Lemcke, S., et al.
(författare)
-
Nerve conduction velocity is regulated by the inositol polyphosphate-4-phosphatase II gene
- 2014
-
Ingår i: American Journal of Pathology. - : Elsevier BV. - 0002-9440 .- 1525-2191. ; 184:9, s. 2420-2429
-
Tidskriftsartikel (refereegranskat)abstract
- Impairment of nerve conduction is common in neurodegenerative and neuroinflammatory diseases such as multiple sclerosis (MS), and measurement of evoked potentials (visual, motor, or sensory) has been widely used for diagnosis and recently also as a prognostic marker for MS. We used a classical genetic approach to identify novel genes controlling nerve conduction. First, we used quantitative trait mapping in F2 progeny of B10/SJL mice to identify EAE31, a locus controlling latency of motor evoked potentials (MEPs) and clinical onset of experimental autoimmune encephalomyelitis. Then, by combining congenic mapping, in silico haplotype analyses, and comparative genomics we identified inositol polyphosphate-4-phosphatase, type II (Inpp4b) as the quantitative trait gene for EAE31. Sequence variants of Inpp4b (C/A, exon 13; A/C, exon 14) were identified as differing among multiple mouse strains and correlated with individual cortical MEP latency differences. To evaluate the functional relevance of the amino acid exchanges at positions S474R and H548P, we generated transgenic mice carrying the longer-latency allele (Inpp4b(474R/548P)) in the C57BL/6J background. Inpp4b(474R/548P) mice exhibited significantly longer cortical MEP latencies (4.5 +/- 0.22 ms versus 3.7 +/- 0.13 ms; P = 1.04 x 10(-9)), indicating that INPP4B regulates nerve conduction velocity. An association of an INPP4B polymorphism (rs13102150) with MS was observed in German and Spanish MS cohorts (3676 controls and 911 cases) (P = 8.8 x 10(-3)).
|
|
| 8. |
- Lethin, Connie, et al.
(författare)
-
Formal support for informal caregivers to older persons with dementia through the course of the disease: an exploratory, cross-sectional study
- 2016
-
Ingår i: BMC Geriatrics. - London : Springer Science and Business Media LLC. - 1471-2318. ; 16:1
-
Tidskriftsartikel (refereegranskat)abstract
- Background: In European countries, knowledge about availability and utilization of support for informal caregivers caring for older persons (>= 65 years) with dementia (PwD) is lacking. To be able to evaluate and develop the dementia support system for informal caregivers to PwD, a survey of European support systems and professionals involved is needed. The aim of this study was to explore support for informal caregivers to PwD in European countries. We investigated the availability and utilization of support in each of the participating countries, and the professional care providers involved, through the dementia disease. Methods: A mapping system was used in 2010-2011 to gather information about estimations of availability, utilization, and professional providers of support to informal caregivers caring for PwD. Data collected was representing each country as a whole. Results: There was high availability of counselling, caregiver support, and education from the diagnosis to the intermediate stage, with a decrease in the late to end of life stage. Utilization was low, although there was a small increase in the intermediate stage. Day care and respite care were highly available in the diagnosis to the intermediate stage, with a decrease in the late to end of life stage, but both types of care were utilized by few or no caregivers through any of the disease stages. Professionals specialized in dementia (Bachelor to Master's degree) provided counselling and education, whereas caregiver support for informal caregivers and day care, respite care, and respite care at home were provided by professionals with education ranging from upper secondary schooling to a Master's degree. Conclusions: Counselling, caregiver support, and education were highly available in European countries from diagnosis to the intermediate stage of the dementia disease, decreasing in the late/end of life stages but were rarely utilized. Countries with care systems based on national guidelines for dementia care seem to be more aware of the importance of professionals specialized in dementia care when providing support to informal caregivers. Mapping the systems of support for informal caregivers of PwD is a valuable tool for evaluating existing systems, internationally, nationally and locally for policy making.
|
|
| 9. |
- Lindvall, Therese, et al.
(författare)
-
An encephalomyelitis-specific locus on chromosome 16 in mouse controls disease development and expression of immune-regulatory genes
- 2011
-
Ingår i: Journal of Neuroimmunology. - Amsterdam : Elsevier. - 0165-5728 .- 1872-8421. ; 235:1-2, s. 40-47
-
Tidskriftsartikel (refereegranskat)abstract
- A locus on mouse chromosome 16 was found to control experimental autoimmune encephalomyelitis (EAE) in studies using congenic mice. Genes within the congenic region control encephalomyelitis but not arthritis, indicating the presence of genes in this region involved in central nervous system (CNS) specific mechanisms. Flow cytometry analyses of expression of two candidate genes within the linked locus, Cd200 and Btla, demonstrated a significantly lower expression of CD200 on CD4+ T cells and higher expression of BTLA on B cells from the congenic mice. These results suggest that genes within this mouse chromosome 16 locus specifically control EAE development possibly through immune-regulatory cell-surface molecules. © 2011 Elsevier B.V.
|
|
| 10. |
- Riddell, Hugh, et al.
(författare)
-
Goal motives and mental contrasting with implementation intentions facilitate strategic goal persistence and disengagement
- 2022
-
Ingår i: Journal of Applied Social Psychology. - Hoboken, NJ : Wiley-Blackwell. - 0021-9029 .- 1559-1816. ; 52:11, s. 1094-1116
-
Tidskriftsartikel (refereegranskat)abstract
- In three experiments, we examine the role of motives underlying goal pursuit and the metacognitive strategy of mental contrasting with implementation intentions (MCII) to predict the strategic use of self-regulation responses (persistence, disengagement, and reengagement) when faced with attainable, unattainable, or multiple goals. We trained half of the participants to use MCII and treated the rest as control. Experiment 1 (N = 261) underscored the role of autonomous motivation in nurturing adaptive cognitive appraisals and coping mechanisms, which facilitated persistence and progress with a difficult but attainable goal. In contrast, controlled motives undermined striving by predicting threat appraisals and giving up coping. MCII training ameliorated the negative impact of controlled motivation on goal striving by reducing threat appraisals. In Experiment 2 (N = 391), we manipulated the task to make the initial goal unattainable. Strategic goal striving (disengagement from the unattainable goal followed by reengagement with an alternative goal) was facilitated by MCII and autonomous goal motives, and culminated in increases in positive affect. In Experiment 3 (N = 432), we extended these findings to a multiple-goal setting. The research further develops the literatures on self-regulation and self-determination, while having implications for life domains where individuals pursue multiple and/or difficult goals. © 2022 The Authors. Journal of Applied Social Psychology published by Wiley Periodicals LLC.
|
|
