Results 311 to 320 of about 560,699 (403)

Cyclic Alternating Pattern Dynamics in Individuals at Risk for Developing Parkinson's Disease

open access: yesAnnals of Neurology, EarlyView.
Objective The objective of this study was to investigate the differences in cyclic alternating patterns (CAP) metrics, a non‐rapid eye movement (NREM) sleep physiological rhythm, among recently diagnosed patients with Parkinson's disease (PD), and individuals at high and low risk for developing PD based on genetic and prodromal risk.
Andrew Dagay   +5 more
wiley   +1 more source

Blood DDIT4 and TRIM13 Transcript Levels Mark the Early Stages of Machado–Joseph Disease

open access: yesAnnals of Neurology, EarlyView.
Objective An abundance of select transcripts and proteins has been found to be dysregulated in blood samples of Machado–Joseph disease (MJD) carriers. Here, we aimed to: (1) identify blood transcriptional changes as potential biomarkers of MJD; (2) correlate levels of differentially expressed blood transcripts with MJD carriers features; and (3 ...
Ana F. Ferreira   +10 more
wiley   +1 more source

Dopamine Transporter Imaging as Objective Monitoring Biomarker in Parkinson's Disease

open access: yesAnnals of Neurology, EarlyView.
Objective Although dopamine transporter (DaT) imaging is a valuable diagnostic biomarker, few studies have investigated its utility in objectively monitoring disease progression in patients with Parkinson's disease (PD). To date, no study has established a longitudinal relationship between the DaT signal decline and the motor symptom increase ...
Verena Dzialas   +4 more
wiley   +1 more source

Massive arachnoid granulation in the transverse sinuses on CT myelogram. [PDF]

open access: yesRadiol Case Rep
de Macedo BA   +7 more
europepmc   +1 more source

AI in Neurology: Everything, Everywhere, All at Once Part 3: Surveillance, Synthesis, Simulation, and Systems

open access: yesAnnals of Neurology, EarlyView.
This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real‐world and synthetic data, digital twins, and innovative
Matthew Rizzo
wiley   +1 more source

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