Pathobiology of cognitive impairment in Parkinson disease: challenges and outlooks
KA Jellinger - International Journal of Molecular Sciences, 2023 - mdpi.com
Cognitive impairment (CI) is a characteristic non-motor feature of Parkinson disease (PD)
that poses a severe burden on the patients and caregivers, yet relatively little is known about …
that poses a severe burden on the patients and caregivers, yet relatively little is known about …
Toward diffusion tensor imaging as a biomarker in neurodegenerative diseases: technical considerations to optimize recordings and data processing
HP Müller, J Kassubek - Frontiers in Human Neuroscience, 2024 - frontiersin.org
Neuroimaging biomarkers have shown high potential to map the disease processes in the
application to neurodegenerative diseases (NDD), eg, diffusion tensor imaging (DTI). For …
application to neurodegenerative diseases (NDD), eg, diffusion tensor imaging (DTI). For …
[HTML][HTML] Structural connectivity from DTI to predict mild cognitive impairment in de novo Parkinson's disease
X Huang, Q He, X Ruan, Y Li, Z Kuang, M Wang… - NeuroImage: Clinical, 2024 - Elsevier
Abstract Background Early detection of Parkinson's disease (PD) patients at high risk for
mild cognitive impairment (MCI) can help with timely intervention. White matter structural …
mild cognitive impairment (MCI) can help with timely intervention. White matter structural …
Machine learning for the detection and diagnosis of cognitive impairment in Parkinson's Disease: A systematic review
Background Parkinson's Disease is the second most common neurological disease in over
60s. Cognitive impairment is a major clinical symptom, with risk of severe dysfunction up to …
60s. Cognitive impairment is a major clinical symptom, with risk of severe dysfunction up to …
Advances in functional and structural imaging of the brainstem: implications for disease
J Cai, Y Wang, MJ McKeown - Current Opinion in Neurology, 2024 - journals.lww.com
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Sparse deep neural network for encoding and decoding the structural connectome
Brain state classification by applying deep learning techniques on neuroimaging data has
become a recent topic of research. However, unlike domains where the data is low …
become a recent topic of research. However, unlike domains where the data is low …
Identifying Parkinson's Patients by a Functional Gradient Boosting Approach
Over 10 million people worldwide suffer with Parkinson's disease (PD). The ecumenical
medical community continues to rely on physical examination, scales, signs, and symptoms …
medical community continues to rely on physical examination, scales, signs, and symptoms …
A Survey on AI-based Parkinson Disease Detection: Taxonomy, Case Study, and Research Challenges
Parkinson Disease (PD) is most common diseases from majority of disease encountered all
over the world, with more than 7 million individuals being affected. PD is a type of …
over the world, with more than 7 million individuals being affected. PD is a type of …
Mild cognitive impairment in Parkinson's disease: current view
KA Jellinger - Frontiers in Cognition, 2024 - frontiersin.org
Parkinson's disease (PD), the most common motor movement disorder and second most
common neurodegenerative disorder after Alzheimer's disease (AD), is often preceded by a …
common neurodegenerative disorder after Alzheimer's disease (AD), is often preceded by a …
Automated Parkinson's Disease Detection from Brain MRI Images Using Deep Convolutional Neural Network
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments and cognitive deficits. Early and accurate detection of PD plays a crucial role in …
impairments and cognitive deficits. Early and accurate detection of PD plays a crucial role in …