Results 221 to 230 of about 1,505,110 (342)
Abstract Objective We measured clinical and quantitative MRI outcome measures in CMT1A to assess long‐term responsiveness, establish longitudinal validity and assess MRI as a bridging biomarker. Methods Twenty patients with CMT1A and 20 matched controls underwent MRI, myometry and clinical assessments up to four times over mean 4‐year follow‐up ...
Matthew R. B. Evans+8 more
wiley +1 more source
Periodic GFN1-xTB Tight Binding: A Generalized Ewald Partitioning Scheme for the Klopman-Ohno Function. [PDF]
Buccheri A+5 more
europepmc +1 more source
Cerebral autoregulation in patients with acute lacunar infarction: a reliable predictor of outcome
Abstract Objective To further investigate the association between dynamic cerebral autoregulation (dCA) and the outcomes in patients with acute lacunar infarction. Methods Patients were prospectively and consecutively enrolled at The First Hospital of Jilin University between 2016 and 2023. dCA was monitored at 1–3 and 7–10 days after the stroke.
Xiang‐Kun Si+7 more
wiley +1 more source
Age-related changes in neural oscillations vary as a function of brain region and frequency band. [PDF]
Park J+5 more
europepmc +1 more source
Capturing what matters: Patient‐reported LGI1‐ANTibody encephalitis outcome RatiNg scale (LANTERN)
Abstract Background LGI1‐antibody encephalitis (LGI1‐Ab‐E) is a common form of autoimmune encephalitis where most patients demonstrate ‘good’ clinician‐rated outcomes. However, more targeted questionnaires reveal numerous debilitating symptoms for many years.
Mark J Kelly+9 more
wiley +1 more source
Progressive Myoclonus Epilepsy: Distinctive MRI Changes in Cerebellar and Motor Networks
ABSTRACT Objective Progressive myoclonus epilepsy (PME) is a rare generalized epilepsy syndrome with a well‐characterized genetic basis. The brain networks that are affected to give rise to the distinctive symptoms of PME are less well understood. Methods Eleven individuals with PME with a confirmed genetic diagnosis and 22 controls were studied.
Jillian M. Cameron+3 more
wiley +1 more source
Longitudinal Trajectories of Digital Cognitive Biomarkers for Multiple Sclerosis
ABSTRACT Background Cognitive impairment is one of the most common and debilitating symptoms of relapsing–remitting multiple sclerosis (RRMS). Digital cognitive biomarkers require less time and resources and are rapidly gaining popularity in clinical settings.
Yi Chao Foong+17 more
wiley +1 more source
Connector based short time series prediction. [PDF]
Gao W, Li C, Dong S, Zhang R.
europepmc +1 more source