Multivariate brain‐cognition associations in euthymic bipolar disorder

Author:

Little Bethany12,Flowers Carly1,Blamire Andrew1,Thelwall Peter1,Taylor John‐Paul1,Gallagher Peter1,Cousins David Andrew13,Wang Yujiang12

Affiliation:

1. Translational and Clinical Research Institute, Faculty of Medical Sciences Newcastle University Newcastle upon Tyne UK

2. CNNP Lab (www.cnnp‐lab.com), Interdisciplinary Computing and Complex Biosystems Group, School of Computing Newcastle University Newcastle upon Tyne UK

3. Cumbria, Northumberland Tyne and Wear NHS Foundation Trust Newcastle upon Tyne UK

Abstract

AbstractBackgroundPeople with bipolar disorder (BD) tend to show widespread cognitive impairment compared to healthy controls. Impairments in processing speed (PS), attention and executive function (EF) may represent ‘core’ impairments that have a role in wider cognitive dysfunction. Cognitive impairments appear to relate to structural brain abnormalities in BD, but whether core deficits are related to particular brain regions is unclear and much of the research on brain‐cognition associations is limited by univariate analysis and small samples.MethodsEuthymic BD patients (n = 56) and matched healthy controls (n = 26) underwent T1‐weighted MRI scans and completed neuropsychological tests of PS, attention and EF. We utilised public datasets to develop normative models of cortical thickness (n = 5977) to generate robust estimations of cortical abnormalities in patients. Canonical correlation analysis was used to assess multivariate brain‐cognition associations in BD, controlling for age, sex and premorbid IQ.ResultsBD showed impairments on tests of PS, attention and EF, and abnormal cortical thickness in several brain regions compared to healthy controls. Impairments in tests of PS and EF were most strongly associated with cortical thickness in the left inferior temporal, right entorhinal and right temporal pole areas.ConclusionImpairments in PS, attention and EF can be observed in euthymic BD and may be related to abnormal cortical thickness in temporal regions. Future research should continue to leverage normative modelling and multivariate methods to examine complex brain‐cognition associations in BD. Future research may benefit from exploring covariance between traditional brain structural morphological metrics such as cortical thickness, cortical volume and surface area.

Funder

UK Research and Innovation

Leverhulme Trust

Medical Research Council

Engineering and Physical Sciences Research Council

Publisher

Wiley

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