Background As a non-pharmacological therapy, acupuncture has significant efficacy in
treating Mild Cognitive Impairment (MCI) compared to pharmacological therapies. In recent …

Background Predicting the risk of disease progression from mild cognitive impairment (MCI)
to Alzheimer's disease (AD) has important clinical significance. This study aimed to provide …

Predicting amyloid positivity in patients with mild cognitive impairment (MCI) is crucial. In the
present study, we predicted amyloid positivity with structural MRI using a radiomics …

Objective Accumulating evidence shows that cognitive impairment (CI) in chronic heart
failure (CHF) patients is related to brain network dysfunction. This study investigated brain …

Background Bulimia nervosa (BN) is an eating disorder characterized by recurrent binge
eating and compensatory behaviors. The thalamus plays a crucial role in the neural circuitry …

Introduction Multi-modal neuroimaging metrics in combination with advanced machine
learning techniques have attracted more and more attention for an effective multi-class …

Objective: This study aimed to build and validate a radiomics-integrated model with whole-
brain magnetic resonance imaging (MRI) to predict the progression of mild cognitive …

To investigate the value of combining amplitude of low-frequency fluctuations-based
radiomics and the support vector machine classifier method in distinguishing patients with …

Rationale and Objectives To build a model using white-matter radiomics features on
positron-emission tomography (PET) and machine learning methods to predict progression …

Background Alzheimer's disease (AD) is an age-progressive neurodegenerative disorder
that affects cognitive function. There have been several functional connectivity (FC) …