Prognosticating Post-Stroke Cognitive Deficits from Pre-Discharge EEG
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1
University of Queensland, Centre for Clinical Research, Australia
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2
Royal Brisbane and Women's Hospital, Australia
Background: Cognitive impairment and vascular dementia are common sequelae of stroke, however pre-discharge prognostication remains elusive. Quantitative electroencephalography (QEEG) provides indices of brain (dys)function and has proven informative for prognostication of generalised, post-stroke functional outcomes.
Aim: To analyse the relationship between pre-discharge QEEG indices and 3 month post-stroke cognitive outcome.
Method: Resting EEG was recorded at mean 69 hours (range 57-99) after symptom onset using a standard 19-electrode array. At an average of 108 days (range 70-209) post-stroke, the functional assessment and functional independence measure (FIMFAM) assessing functional, behavioural and cognitive outcomes, was administered. Relative power for alpha, beta, delta and theta frequencies, as well as delta/alpha ratio (DAR) and pair wise derived brain symmetry index (pdBSI) were computed for each electrode then averaged over all 19 electrodes. Additionally, frontal-specific values for each of these were averaged over only electrodes F3, F4, F7, F8. Spearman’s rho was used to correlate these QEEG indices with outcome measures which included total FIMFAM and the sub-total of 5 cognitive items.
Results: Twenty-six patients (14 female, mean age: 67 years, range 38-82) were recruited. Significant correlations (p less than 0.05) were found between all QEEG measures (except theta power) and both total FIMFAM and cognitive items only. Significant correlations were also obtained when using only the QEEG measures from the frontal lobe electrodes.
Discussion: These results indicate that early QEEG measures may help predict post-stroke cognitive deficits; notably, just several frontal electrodes may give adequate information in this setting.
Acknowledgements
Royal Brisbane and Women's Hospital Foundation
Stroke Foundation
Keywords:
Stroke,
qEEG,
Cognition,
Outcome Assessment (Health Care),
screening tests
Conference:
ACNS-2013 Australasian Cognitive Neuroscience Society Conference, Clayton, Melbourne, Australia, 28 Nov - 1 Dec, 2013.
Presentation Type:
Oral
Topic:
Executive Processes
Citation:
Schleiger
E,
Sheikh
N,
Rowland
T,
Wong
A,
Read
S and
Finnigan
S
(2013). Prognosticating Post-Stroke Cognitive Deficits from Pre-Discharge EEG.
Conference Abstract:
ACNS-2013 Australasian Cognitive Neuroscience Society Conference.
doi: 10.3389/conf.fnhum.2013.212.00128
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Received:
25 Oct 2013;
Published Online:
25 Nov 2013.
*
Correspondence:
Miss. Emma Schleiger, University of Queensland, Centre for Clinical Research, Herston, QLD, 4029, Australia, e.schleiger@uq.edu.au