Download full-text PDF

Source
http://dx.doi.org/10.1016/j.parkreldis.2010.07.003DOI Listing

Publication Analysis

Top Keywords

validation dystonia
4
dystonia screening
4
screening questionnaire
4
questionnaire testing
4
testing cohort
4
cohort mixed
4
mixed neurological
4
neurological disorders
4
validation
1
screening
1

Similar Publications

Background: Variants in have been reported to be associated with Leigh syndrome. However, further expansion of the -phenotype and variants spectrum of -related Leigh syndrome are still required.

Methods: Two patients diagnosed with Leigh syndrome were recruited, and whole-exome sequencing was performed to identify the genetic variants responsible for the abnormal gait, dystonia, and bilateral basal ganglia lesions, followed by validation using Sanger sequencing.

View Article and Find Full Text PDF

Intermuscular coherence during co-contraction eliciting tasks as a biomarker for dystonia and GPi-DBS efficacy.

Clin Neurophysiol

December 2024

Department of Neurology, University Medical Center Groningen (UMCG), University of Groningen, Hanzeplein 1, 9700 RB Groningen, the Netherlands; Expertise Center Movement Disorders Groningen, University Medical Center Groningen (UMCG), the Netherlands. Electronic address:

Article Synopsis
  • Clinical rating scales often miss the full range of dystonic symptoms, prompting the need for a reliable biomarker to assess the effectiveness of deep brain stimulation (GPi-DBS) for treating dystonia.
  • In a study of 12 patients undergoing GPi-DBS, researchers found that those with arm dystonia had higher intermuscular coherence in the 4-12 Hz range before surgery, which significantly decreased after the procedure.
  • Despite the observed changes in coherence, the study found no strong links between coherence levels and clinical rating scale scores, suggesting that more research is needed to determine the biomarker's clinical utility.
View Article and Find Full Text PDF

: Hyperkinetic movement disorders involve excessive, involuntary movements such as ataxia, chorea, dystonia, myoclonus, tics, and tremor. Recent advances in artificial intelligence (AI) allow investigators to integrate multimodal instrumented movement measurements and imaging techniques and to analyze these data together at scale. In this systematic review, we aim to characterize AI's performance in diagnosing and quantitatively phenotyping these disorders.

View Article and Find Full Text PDF

Harnessing machine learning in diagnosing complex hoarseness cases.

Am J Otolaryngol

December 2024

Carmel Medical Center, Department of Otolaryngology - Head and Neck Surgery, Haifa, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.

Purpose: Traditional vocal fold pathology recognition typically requires expertise of laryngologists and advanced instruments, primarily through direct visualization. This study aims to augment this conventional paradigm by introducing a parallel diagnostic procedure. Our objective is to harness a machine-learning algorithm designed to discern intricate patterns within patients' voice recordings to distinguish not only between healthy and hoarse voices but also among various specific disorders.

View Article and Find Full Text PDF

Musician's dystonia (MD) is a movement disorder characterized by involuntary muscle contractions specifically triggered by playing an instrument. This condition often leads to a loss of fine motor control, threatening the careers of affected musicians. While MD is commonly associated with the hands, it can also affect the lower limbs, particularly in drummers.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!