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Slowing on quantitative EEG is associated with transition to dementia in mild cognitive impairment

Lookup NU author(s): Dr Calum Hamilton, Julia SchumacherORCiD, Professor Fiona MatthewsORCiD, Professor John-Paul TaylorORCiD, Dr Louise Allan, Nicola Barnett, Dr Ruth Cromarty, Dr Paul Donaghy, Dr Rory Durcan, Dr Michael FirbankORCiD, Dr Sarah Lawley, Professor John O'Brien, Professor Alan ThomasORCiD



This is the authors' accepted manuscript of an article that has been published in its final definitive form by Cambridge University Press, 2021.

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Electroencephalographic (EEG) abnormalities are greater in mild cognitive impairment (MCI) with Lewy bodies (MCI-LB) than in MCI due to Alzheimer’s disease (MCI-AD) and may anticipate onset of dementia. We aimed to assess whether quantitative EEG (qEEG) slowing would predict a higher annual hazard of dementia in MCI across these aetiologies. MCI patients (n=92) and healthy comparators (n=31) provided qEEG recording and underwent longitudinal clinical and cognitive follow-up. Associations between qEEG slowing, measured by increased theta/alpha ratio, and clinical progression from MCI to dementia were estimated with a multi-state transition model to account for death as a competing risk, while controlling for age, cognitive function, and aetiology classified by an expert consensus panel. Over a mean follow up of 1.5 years (SD = 0.5) fourteen cases of incident dementia and five deaths were observed. Increased theta/alpha ratio on qEEG was associated with increased annual hazard of dementia (Hazard Ratio = 1.84, 95% CI: 1.01–3.35). This extends previous findings that MCI-LB features early functional changes, showing that qEEG slowing may anticipate onset of dementia in prospectively-identified MCI.

Publication metadata

Author(s): Hamilton C, Schumacher J, Matthews FE, Taylor JP, Allan L, Barnett N, Cromarty R, Donaghy P, Durcan R, Firbank M, Lawley S, O'Brien JT, Roberts G, Thomas A

Publication type: Article

Publication status: Published

Journal: International Psychogeriatrics

Year: 2021

Volume: 33

Issue: Special Issue 12

Pages: 1321-1325

Print publication date: 01/12/2021

Online publication date: 23/09/2021

Acceptance date: 29/07/2021

Date deposited: 16/08/2021

ISSN (print): 1041-6102

ISSN (electronic): 1741-203X

Publisher: Cambridge University Press


DOI: 10.1017/S1041610221001083


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