[HTML][HTML] Detection of mild cognitive impairment in Parkinson's disease using gradient boosting decision tree models based on multilevel DTI indices
B Chen, M Xu, H Yu, J He, Y Li, D Song… - Journal of Translational …, 2023 - Springer
Background Cognitive dysfunction is the most common non-motor symptom in Parkinson's
disease (PD), and timely detection of a slight cognitive decline is crucial for early treatment …
disease (PD), and timely detection of a slight cognitive decline is crucial for early treatment …
[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 …
[HTML][HTML] Predicting cognitive decline in Parkinson's disease using FDG-PET–based supervised learning
S Booth, KW Park, CS Lee, JH Ko - The Journal of Clinical …, 2022 - Am Soc Clin Investig
Background Cognitive impairment is a common symptom of Parkinson's disease (PD) that
increases in risk and severity as the disease progresses. An accurate prediction of the risk of …
increases in risk and severity as the disease progresses. An accurate prediction of the risk of …
Brain connectivity markers in advanced Parkinson's disease for predicting mild cognitive impairment
H Lin, Z Liu, W Yan, D Zhang, J Liu, B Xu, W Li… - European …, 2021 - Springer
Objectives Mild cognitive impairment (MCI) is a well-defined non-motor manifestation and a
harbinger of dementia in Parkinson's disease. This study is to investigate brain connectivity …
harbinger of dementia in Parkinson's disease. This study is to investigate brain connectivity …
Machine learning trained with quantitative susceptibility mapping to detect mild cognitive impairment in Parkinson's disease
Background Cognitive decline is commonly observed in Parkinson's disease (PD).
Identifying PD with mild cognitive impairment (PD-MCI) is crucial for early initiation of …
Identifying PD with mild cognitive impairment (PD-MCI) is crucial for early initiation of …
Fine‐grained features characterize hippocampal and amygdaloid change pattern in Parkinson's disease and discriminate cognitive‐deficit subtype
L Zhang, P Zhang, Q Dong, Z Zhao… - CNS Neuroscience …, 2024 - Wiley Online Library
Aims To extract vertex‐wise features of the hippocampus and amygdala in Parkinson's
disease (PD) with mild cognitive impairment (MCI) and normal cognition (NC) and further …
disease (PD) with mild cognitive impairment (MCI) and normal cognition (NC) and further …
[HTML][HTML] A machine learning-based classification approach on Parkinson's disease diffusion tensor imaging datasets
J Prasuhn, M Heldmann, TF Münte… - … Research and Practice, 2020 - Springer
Introduction The presence of motor signs and symptoms in Parkinson's disease (PD) is the
result of a long-lasting prodromal phase with an advancing neurodegenerative process. The …
result of a long-lasting prodromal phase with an advancing neurodegenerative process. The …
[HTML][HTML] Identifying depression in Parkinson's disease by using combined diffusion tensor imaging and support vector machine
Y Yang, Y Yang, A Pan, Z Xu, L Wang, Y Zhang… - Frontiers in …, 2022 - frontiersin.org
Objective To investigate white matter microstructural alterations in Parkinson's disease (PD)
patients with depression using the whole-brain diffusion tensor imaging (DTI) method and to …
patients with depression using the whole-brain diffusion tensor imaging (DTI) method and to …
[HTML][HTML] Machine learning models for diagnosis of Parkinson's disease using multiple structural magnetic resonance imaging features
Y Ya, L Ji, Y Jia, N Zou, Z Jiang, H Yin… - Frontiers in Aging …, 2022 - frontiersin.org
Purpose This study aimed to develop machine learning models for the diagnosis of
Parkinson's disease (PD) using multiple structural magnetic resonance imaging (MRI) …
Parkinson's disease (PD) using multiple structural magnetic resonance imaging (MRI) …
Identifying Parkinson's disease with mild cognitive impairment by using combined MR imaging and electroencephalogram
J Zhang, Y Gao, X He, S Feng, J Hu, Q Zhang… - European …, 2021 - Springer
Objectives To analyse the changes of quantitative electroencephalogram (qEEG) and cortex
structural magnetic resonance (MR) imaging in Parkinson's disease with mild cognitive …
structural magnetic resonance (MR) imaging in Parkinson's disease with mild cognitive …