[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 …

[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 …

[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 …

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 …

Machine learning trained with quantitative susceptibility mapping to detect mild cognitive impairment in Parkinson's disease

H Shibata, Y Uchida, S Inui, H Kan, K Sakurai… - Parkinsonism & Related …, 2022 - Elsevier
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 …

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 …

[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 …

[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 …

[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) …

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 …