Results 231 to 240 of about 2,214,703 (288)
Identifying key regulators in neuronal transdifferentiation by gene regulatory network analysis. [PDF]
Li L, Zhu B, Feng J.
europepmc +1 more source
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source
Sex inference based on convolutional neural network analysis of fingerprint data. [PDF]
Zhang Y +7 more
europepmc +1 more source
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source
Network Analysis of Contemporaneous Symptoms and Identification of Core Symptoms in Patients with Lumbar Disc Herniation. [PDF]
Lu H +6 more
europepmc +1 more source
ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu +5 more
wiley +1 more source
Lexical retrieval in fluent and nonfluent aphasia: a network analysis of verbal fluency data. [PDF]
Pham CT, Castro N, Lee J.
europepmc +1 more source
Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron +5 more
wiley +1 more source

