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Examining the neurostructural architecture of intelligence: The Lothian Birth Cohort 1936 study.
Page, Danielle; Buchanan, Colin R; Moodie, Joanna E; Harris, Mathew A; Taylor, Adele; Valdés Hernández, Maria; Muñoz Maniega, Susana; Corley, Janie; Bastin, Mark E; Wardlaw, Joanna M; Russ, Tom C; Deary, Ian J; Cox, Simon R.
Affiliation
  • Page D; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK.
  • Buchanan CR; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK.
  • Moodie JE; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK.
  • Harris MA; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK.
  • Taylor A; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK.
  • Valdés Hernández M; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK; Division of Neuroimaging Sciences and Row Fogo Centre for Small Vessel Diseases Research, Centre for Clinical Brain Sciences, University of Edinburgh, UK; UK Dementia Research Institute Centre at the University of Edinburg
  • Muñoz Maniega S; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK; Division of Neuroimaging Sciences and Row Fogo Centre for Small Vessel Diseases Research, Centre for Clinical Brain Sciences, University of Edinburgh, UK; UK Dementia Research Institute Centre at the University of Edinburg
  • Corley J; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK.
  • Bastin ME; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK.
  • Wardlaw JM; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK; Division of Neuroimaging Sciences and Row Fogo Centre for Small Vessel Diseases Research, Centre for Clinical Brain Sciences, University of Edinburgh, UK; UK Dementia Research Institute Centre at the University of Edinburg
  • Russ TC; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK; Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, UK; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, UK.
  • Deary IJ; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK.
  • Cox SR; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK. Electronic address: simon.cox@ed.ac.uk.
Cortex ; 178: 269-286, 2024 Sep.
Article in En | MEDLINE | ID: mdl-39067180
ABSTRACT
Examining underlying neurostructural correlates of specific cognitive abilities is practically and theoretically complicated by the existence of the positive manifold (all cognitive tests positively correlate) if a brain structure is associated with a cognitive task, how much of this is uniquely related to the cognitive domain, and how much is due to covariance with all other tests across domains (captured by general cognitive functioning, also known as general intelligence, or 'g')? We quantitatively address this question by examining associations between brain structural and diffusion MRI measures (global tissue volumes, white matter hyperintensities, global white matter diffusion fractional anisotropy and mean diffusivity, and FreeSurfer processed vertex-wise cortical volumes, smoothed at 20mm fwhm) with g and cognitive domains (processing speed, crystallised ability, memory, visuospatial ability). The cognitive domains were modelled using confirmatory factor analysis to derive both hierarchical and bifactor solutions using 13 cognitive tests in 697 participants from the Lothian Birth Cohort 1936 study (mean age 72.5 years; SD = .7). Associations between the extracted cognitive factor scores for each domain and g were computed for each brain measure covarying for age, sex and intracranial volume, and corrected for false discovery rate. There were a range of significant associations between cognitive domains and global MRI brain structural measures (r range .008 to .269, p < .05). Regions implicated by vertex-wise regional cortical volume included a widespread number of medial and lateral areas of the frontal, temporal and parietal lobes. However, at both global and regional level, much of the domain-MRI associations were shared (statistically accounted for by g). Removing g-related variance from cognitive domains attenuated association magnitudes with global brain MRI measures by 27.9-59.7% (M = 46.2%), with only processing speed retaining all significant associations. At the regional cortical level, g appeared to account for the majority (range 22.1-88.4%; M = 52.8% across cognitive domains) of regional domain-specific associations. Crystallised and memory domains had almost no unique cortical correlates, whereas processing speed and visuospatial ability retained limited cortical volumetric associations. The greatest spatial overlaps across cognitive domains (as denoted by g) were present in the medial and lateral temporal, lateral parietal and lateral frontal areas.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Cognition / Intelligence Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Cortex Year: 2024 Document type: Article Country of publication: Italia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Cognition / Intelligence Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Cortex Year: 2024 Document type: Article Country of publication: Italia