Acute single channel EEG predictors of cognitive function after stroke
Publication Date
October 02, 2017
Journal
PLOS ONE
Authors
Anna Aminov, Jeffrey M. Rogers, Stuart J. Johnstone, Sandy Middleton, et al
Volume
12
Issue
10
Pages
e0185841
DOI
https://dx.plos.org/10.1371/journal.pone.0185841
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0185841
Scopus
85030245678
Mendeley
http://www.mendeley.com/research/acute-single-channel-eeg-predictors-cognitive-function-after-stroke-2
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Mendeley | Further Information

{"title"=>"Acute single channel EEG predictors of cognitive function after stroke", "type"=>"journal", "authors"=>[{"first_name"=>"Anna", "last_name"=>"Aminov", "scopus_author_id"=>"57190004320"}, {"first_name"=>"Jeffrey M.", "last_name"=>"Rogers", "scopus_author_id"=>"55458360100"}, {"first_name"=>"Stuart J.", "last_name"=>"Johnstone", "scopus_author_id"=>"7006427797"}, {"first_name"=>"Sandy", "last_name"=>"Middleton", "scopus_author_id"=>"7102867349"}, {"first_name"=>"Peter H.", "last_name"=>"Wilson", "scopus_author_id"=>"7404348396"}], "year"=>2017, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-85030245678", "sgr"=>"85030245678", "doi"=>"10.1371/journal.pone.0185841", "pui"=>"618513274", "pmid"=>"28968458", "isbn"=>"1111111111", "issn"=>"19326203"}, "id"=>"048e2a72-1294-3204-9970-bd07bf42b755", "abstract"=>"BACKGROUND Early and accurate identification of factors that predict post-stroke cognitive outcome is important to set realistic targets for rehabilitation and to guide patients and their families accordingly. However, behavioral measures of cognition are difficult to obtain in the acute phase of recovery due to clinical factors (e.g. fatigue) and functional barriers (e.g. language deficits). The aim of the current study was to test whether single channel wireless EEG data obtained acutely following stroke could predict longer-term cognitive function. METHODS Resting state Relative Power (RP) of delta, theta, alpha, beta, delta/alpha ratio (DAR), and delta/theta ratio (DTR) were obtained from a single electrode over FP1 in 24 participants within 72 hours of a first-ever stroke. The Montreal Cognitive Assessment (MoCA) was administered at 90-days post-stroke. Correlation and regression analyses were completed to identify relationships between 90-day cognitive function and electrophysiological data, neurological status, and demographic characteristics at admission. RESULTS Four acute qEEG indices demonstrated moderate to high correlations with 90-day MoCA scores: DTR (r = -0.57, p = 0.01), RP theta (r = 0.50, p = 0.01), RP delta (r = -0.47, p = 0.02), and DAR (r = -0.45, p = 0.03). Acute DTR (b = -0.36, p < 0.05) and stroke severity on admission (b = -0.63, p < 0.01) were the best linear combination of predictors of MoCA scores 90-days post-stroke, accounting for 75% of variance. CONCLUSIONS Data generated by a single pre-frontal electrode support the prognostic value of acute DAR, and identify DTR as a potential marker of post-stroke cognitive outcome. Use of single channel recording in an acute clinical setting may provide an efficient and valid predictor of cognitive function after stroke.", "link"=>"http://www.mendeley.com/research/acute-single-channel-eeg-predictors-cognitive-function-after-stroke-2", "reader_count"=>11, "reader_count_by_academic_status"=>{"Researcher"=>3, "Student > Ph. D. Student"=>3, "Student > Master"=>2, "Student > Bachelor"=>2, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_user_role"=>{"Researcher"=>3, "Student > Ph. D. Student"=>3, "Student > Master"=>2, "Student > Bachelor"=>2, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Neuroscience"=>6, "Psychology"=>4}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Neuroscience"=>{"Neuroscience"=>6}, "Psychology"=>{"Psychology"=>4}}, "group_count"=>1}

Scopus | Further Information

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