Results 241 to 250 of about 264,340 (333)
Abstract INTRODUCTION Alzheimer's disease (AD) is a major public health concern in Korea, with a high prevalence among older adults. A community‐based longitudinal study is essential for tracking disease progression, identifying biomarkers, and developing targeted prevention and treatment strategies.
Kyu Yeong Choi +24 more
wiley +1 more source
Assessment of functional decline in stroke patients using 3D deep learning and dynamic functional connectivity based on resting-state fMRI. [PDF]
Gao Y +7 more
europepmc +1 more source
Neuropsychiatric symptoms in Alzheimer's disease: Past, present, and future
Abstract Noncognitive neuropsychiatric symptoms (NPS; e.g., depression, agitation) are nearly universal throughout the course of Alzheimer's disease (AD), cause significant adverse impact to patients and caregivers, and are associated with more rapid progression to severe dementia. Although the importance and presence of NPS was recognized by Dr. Alois
Constantine G. Lyketsos +1 more
wiley +1 more source
Parkinson's disease patients exhibited distinct abnormalities in microstate D, including increased mean coverage, mean duration, and incoming transition probabilities. Notably, both the coverage of microstate D and the transition probability from microstate B to D correlated with motor symptom severity, suggesting their potential as biomarkers for ...
Jiayu Cai +7 more
wiley +1 more source
Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas. [PDF]
Hu Y, Cao X, Chen H, Geng D, Lv K.
europepmc +1 more source
Post‐task resting‐state fMRI revealed different network states for expert gastroenterologists and novice medical students. Experts showed increased prefrontal cortex (PFC)–paracingulate connectivity (executive control) suggesting sustained, goal–directed engagement after decisions.
Filomeno Cortese +6 more
wiley +1 more source

