Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness

Simple item page
dc.citation.volume28
dc.contributor.authorBareham CA
dc.contributor.authorRoberts N
dc.contributor.authorAllanson J
dc.contributor.authorHutchinson PJA
dc.contributor.authorPickard JD
dc.contributor.authorMenon DK
dc.contributor.authorChennu S
dc.coverage.spatialNetherlands
dc.date.accessioned2023-12-15T01:34:25Z
dc.date.accessioned2024-07-25T06:36:58Z
dc.date.available2020-08-05
dc.date.available2023-12-15T01:34:25Z
dc.date.available2024-07-25T06:36:58Z
dc.date.issued2020
dc.description.abstractProviding an accurate prognosis for prolonged disorder of consciousness (pDOC) patients remains a clinical challenge. Large cross-sectional studies have demonstrated the diagnostic and prognostic value of functional brain networks measured using high-density electroencephalography (hdEEG). Nonetheless, the prognostic value of these neural measures has yet to be assessed by longitudinal follow-up. We address this gap by assessing the utility of hdEEG to prognosticate long-term behavioural outcome, employing longitudinal data collected from a cohort of patients assessed systematically with resting hdEEG and the Coma Recovery Scale-Revised (CRS-R) at the bedside over a period of two years. We used canonical correlation analysis to relate clinical (including CRS-R scores combined with demographic variables) and hdEEG variables to each other. This analysis revealed that the patient’s age, and the hdEEG theta band power and alpha band connectivity, contributed most significantly to the relationship between hdEEG and clinical variables. Further, we found that hdEEG measures recorded at the time of assessment augmented clinical measures in predicting CRS-R scores at the next assessment. Moreover, the rate of hdEEG change not only predicted later changes in CRS-R scores, but also outperformed clinical measures in terms of prognostic power. Together, these findings suggest that improvements in functional brain networks precede changes in behavioural awareness in pDOC. We demonstrate here that bedside hdEEG assessments conducted at specialist nursing homes are feasible, have clinical utility, and can complement clinical knowledge and systematic behavioural assessments to inform prognosis and care.
dc.format.pagination102372-
dc.identifier.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/32795964
dc.identifier.citationBareham CA, Roberts N, Allanson J, Hutchinson PJA, Pickard JD, Menon DK, Chennu S. (2020). Bedside EEG predicts longitudinal behavioural changes in disorders of consciousness.. Neuroimage Clin. 28. (pp. 102372-).
dc.identifier.doi10.1016/j.nicl.2020.102372
dc.identifier.eissn2213-1582
dc.identifier.elements-typejournal-article
dc.identifier.issn2213-1582
dc.identifier.numberARTN 102372
dc.identifier.piiS2213-1582(20)30209-6
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70545
dc.languageeng
dc.publisherElsevier Inc
dc.relation.isPartOfNeuroimage Clin
dc.rights(c) 2020 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectComa
dc.subjectDisorders of consciousness
dc.subjectEEG
dc.subjectNatural history studies (prognosis)
dc.subjectPrognosis
dc.subjectComa
dc.subjectConsciousness
dc.subjectConsciousness Disorders
dc.subjectCross-Sectional Studies
dc.subjectElectroencephalography
dc.subjectHumans
dc.subjectPrognosis
dc.titleBedside EEG predicts longitudinal behavioural changes in disorders of consciousness
dc.typeJournal article
pubs.elements-id449411
pubs.organisational-groupOther
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