A common finding in human functional brain-imaging studies is that damage to neural
systems paradoxically results in enhanced functional connectivity between network regions …

Biomarkers in whichever modality are tremendously important in diagnosing of disease,
tracking disease progression and clinical trials. This applies in particular for disorders with a …

Functional and structural connectivity measures, as assessed by means of functional and
diffusion MRI, are emerging as potential intermediate biomarkers for Alzheimer disease (AD) …

Parkinson's disease (PD) is a common neurodegenerative disorder with prominent loss of
nigro‐striatal dopaminergic neurons. The resultant dopamine (DA) deficiency underlies the …

Functional neuroimaging techniques provide important insight into the pathophysiology of
neurodegenerative disorders such as Parkinson's disease (PD) in-vivo. Recently, resting …

Advances in molecular and structural and functional neuroimaging are rapidly expanding
the complexity of neurobiological understanding of Parkinson's disease (PD). This review …

Functional neuroimaging has been widely used to study the activation patterns of the motor
network in patients with Parkinson's disease (PD), but these studies have yielded conflicting …

Background Motor imagery training (MIT) has been widely used to improve hemiplegic
upper limb function in stroke rehabilitation. The effectiveness of MIT is associated with the …

ABSTRACT Background Functional MRI (fMRI) has been widely used to study abnormal
patterns of functional connectivity at rest in patients with movement disorders such as …

Background Parkinson's disease (PD) is an irreversible neurodegenerative disease. The
diagnosis of PD based on neuroimaging is usually with low-level or deep learning features …