Functional brain activity in patients with amnestic mild cognitive impairment: an rs-fMRI study

J Yue, S Han, X Liu, S Wang, W Zhao, L Cai… - Frontiers in …, 2023 - frontiersin.org
Background Amnestic mild cognitive impairment (aMCI) is an early stage of Alzheimer's
disease (AD). Regional homogeneity (ReHo) and amplitude of low-frequency fluctuation …

[HTML][HTML] Multimodal data fusion reveals functional and neurochemical correlates of Parkinson's disease

D Shi, S Wu, C Zhuang, Y Mao, Q Wang, H Zhai… - Neurobiology of …, 2024 - Elsevier
Background Neurotransmitter deficits and spatial associations among neurotransmitter
distribution, brain activity, and clinical features in Parkinson's disease (PD) remain unclear …

A more objective PD diagnostic model: integrating texture feature markers of cerebellar gray matter and white matter through machine learning

Y Chen, Y Qi, T Li, A Lin, Y Ni, R Pu… - Frontiers in Aging …, 2024 - frontiersin.org
Objective The purpose of this study is to explore whether machine learning can be used to
establish an effective model for the diagnosis of Parkinson's disease (PD) by using texture …

Volume-based structural connectome of epilepsy partialis continua in Rasmussen's encephalitis

C Fu, X Yang, M Wang, X Wang, C Tang… - Brain …, 2024 - academic.oup.com
Rasmussen's encephalitis is a rare, progressive neurological inflammatory with hemispheric
brain atrophy. Epilepsy partialis continua (EPC) is a diagnostic clinical condition in patients …

Multimodal MRI changes associated with non-motor symptoms of rapid eye movement sleep behaviour disorder in Parkinson's disease patients

H Lin, X Cheng, Y Xu, J Wu, J Zhu, C Mao, Z Jiang - Neuroradiology, 2024 - Springer
Background and objective Parkinson's disease (PD), a prevalent neurodegenerative
disorder, assumes a more adverse prognosis when accompanied by rapid eye movement …

[HTML][HTML] Radiomics with structural magnetic resonance imaging, surface morphometry features, neurology scales, and clinical metrics to evaluate the …

F Yang, J Zhong, P Liu, W Yu, Y Liu… - Translational …, 2024 - pmc.ncbi.nlm.nih.gov
Background Despite the improved survival rates of children with tetralogy of Fallot (TOF),
various degrees of neurodevelopmental disorders persist. Currently, there is a lack of …

[HTML][HTML] White matter biomarker for predicting de novo Parkinson's disease using tract-based spatial statistics: a machine learning-based model

Q Zhang, H Wang, Y Shi, W Li - Quantitative Imaging in Medicine …, 2024 - ncbi.nlm.nih.gov
Background Parkinson's disease (PD) is an irreversible, chronic degenerative disease of the
central nervous system, potentially associated with cerebral white matter (WM) lesions …