Yelena G Bodien, Matteo Fecchio, Holly J Freeman, William R Sanders, Anogue Meydan, Phoebe K Lawrence, John E Kirsch, David Fischer, Joseph Cohen, Emily Rubin, Julian H He, Pamela W Schaefer, Leigh R Hochberg, Otto Rapalino, Sydney S Cash, Michael J Young, Brian L Edlow
{"title":"Clinical Implementation of fMRI and EEG to Detect Cognitive Motor Dissociation: Lessons Learned in an Acute Care Hospital.","authors":"Yelena G Bodien, Matteo Fecchio, Holly J Freeman, William R Sanders, Anogue Meydan, Phoebe K Lawrence, John E Kirsch, David Fischer, Joseph Cohen, Emily Rubin, Julian H He, Pamela W Schaefer, Leigh R Hochberg, Otto Rapalino, Sydney S Cash, Michael J Young, Brian L Edlow","doi":"10.1212/CPJ.0000000000200390","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Cognitive motor dissociation (CMD) occurs when patients with severe brain injury follow commands on task-based functional MRI or EEG assessment despite demonstrating no behavioral evidence of language function. Recognizing the value of identifying patients with CMD, evidence-based guidelines published in the United States and Europe now recommend that these assessments are conducted as part of clinical care for select patients.</p><p><strong>Recent findings: </strong>We describe our institutionally supported approach for clinical assessment of CMD and report lessons learned so that other centers can more easily implement these evaluations. Among the key lessons are the need to consider ethical implications of CMD assessment; establish standardized local protocols for patient selection, data acquisition, analysis, and interpretation; and develop effective strategies for communication of test results.</p><p><strong>Implications for practice: </strong>Independent validation of methods to assess CMD is not available. Our approach for clinical CMD assessment is intended to be flexible, allowing for iterative improvements as the evidence base grows.</p>","PeriodicalId":19136,"journal":{"name":"Neurology. Clinical practice","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11515113/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurology. Clinical practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1212/CPJ.0000000000200390","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/25 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Cognitive motor dissociation (CMD) occurs when patients with severe brain injury follow commands on task-based functional MRI or EEG assessment despite demonstrating no behavioral evidence of language function. Recognizing the value of identifying patients with CMD, evidence-based guidelines published in the United States and Europe now recommend that these assessments are conducted as part of clinical care for select patients.
Recent findings: We describe our institutionally supported approach for clinical assessment of CMD and report lessons learned so that other centers can more easily implement these evaluations. Among the key lessons are the need to consider ethical implications of CMD assessment; establish standardized local protocols for patient selection, data acquisition, analysis, and interpretation; and develop effective strategies for communication of test results.
Implications for practice: Independent validation of methods to assess CMD is not available. Our approach for clinical CMD assessment is intended to be flexible, allowing for iterative improvements as the evidence base grows.
期刊介绍:
Neurology® Genetics is an online open access journal publishing peer-reviewed reports in the field of neurogenetics. The journal publishes original articles in all areas of neurogenetics including rare and common genetic variations, genotype-phenotype correlations, outlier phenotypes as a result of mutations in known disease genes, and genetic variations with a putative link to diseases. Articles include studies reporting on genetic disease risk, pharmacogenomics, and results of gene-based clinical trials (viral, ASO, etc.). Genetically engineered model systems are not a primary focus of Neurology® Genetics, but studies using model systems for treatment trials, including well-powered studies reporting negative results, are welcome.