Results 201 to 210 of about 24,551,019 (389)
ABSTRACT Introduction The kappa‐free light chain (κ‐FLC) index is known to be highly sensitive and specific for diagnosing multiple sclerosis (MS), while little is understood about lambda (λ)‐FLC. This study assessed the κ‐FLC and λ‐FLC indices in autoimmune glial fibrillary acidic protein (GFAP) astrocytopathy.
Michael Levraut+11 more
wiley +1 more source
Machine learning to identify suitable boundaries for band-pass spectral analysis of dynamic [ 11 C]Ro15-4513 PET scan and voxel-wise parametric map generation. [PDF]
Chang Z+8 more
europepmc +1 more source
A study of anaesthesia depth by power spectral analysis of the electroencephalogram (EEG) [PDF]
J. L. Berezowskyj+3 more
openalex +1 more source
Stage‐Dependent Inhibitory Connectivity in Striatal‐Motor Circuit in Huntington's Disease
ABSTRACT Background Elucidating dysfunctional connectivity patterns among key brain regions in Huntington's disease (HD) underlying progression may have implications for developing treatment and therapeutic evaluation. Objective Explore the relationship between abnormal spontaneous resting‐state activity and atrophy in HD‐specific brain regions and ...
Yinghua Jing+4 more
wiley +1 more source
Cognitive and Patient‐Reported Outcome Measures in LGI‐1‐IgG Autoimmune Encephalitis
ABSTRACT Objective Clinical outcome measures for autoimmune encephalitis (AE) are not yet well defined. Cognitive outcome measures (CogOs) and patient‐reported outcomes (PROs) may capture the symptoms of AE, beyond clinician‐reported outcomes (ClinROs) (the Modified Rankin Scale [mRS] and Clinical Assessment Scale in Autoimmune Encephalitis [CASE ...
Tatchaporn Ongphichetmetha+8 more
wiley +1 more source
Power spectral analysis of voltage-gated channels in neurons. [PDF]
Magnani C, Moore LE.
europepmc +1 more source
Preliminary analysis of 1H and 13C spectral and relaxation behavior in methionine-enkephalin. [PDF]
Hermann E. Bleich+5 more
openalex +1 more source
ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo+11 more
wiley +1 more source
Exploring connections of spectral analysis and transfer learning in medical imaging. [PDF]
Lu Y+3 more
europepmc +1 more source