title: General fluid-type intelligence is related to indices of white matter structure in middle-aged and old adults.
abstract: General fluid-type intelligence (gF) reflects abstract reasoning and problem solving abilities, and is an important predictor for lifetime trajectories of cognition, and physical and mental health. Structural and functional neuroimaging studies have demonstrated the role of parieto-frontal gray matter, but the white matter (WM) underpinnings of gF and the contribution of individual gF components to gF-WM relationship still need to be explored. The aim of this study was to characterize, in a sample of 100 healthy middle-aged and old subjects (mean=63.8 years), the relationship between gF and indices of WM structure obtained from diffusion tensor magnetic resonance imaging (DT-MRI) (fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD)). gF was estimated by principal component analysis including measures of episodic memory, reasoning, and processing speed. Tract-based spatial statistics and permutation-based inference statistics were used to test the association between gF and WM indices, while controlling for the effect of age and sex. We hypothesized a positive relationship between gF and WM structure. Based on previous studies, we further hypothesized that this relationship was heavily influenced by the processing speed component of gF. We found a robust relationship between gF and DT-MRI measures of FA, RD and MD in all major WM tracts. Higher gF score was related to higher degree of WM integrity, in middle-aged as well as old individuals. Thus, the distributed relationship between gF and indices of WM microstructure is consistent with the notion that gF reflects efficient signaling between cortical areas. Furthermore, analysis of relationships between WM measures and gF components revealed an association with information processing speed and reasoning ability, but not with episodic memory. Thus, although all subcomponents loaded high on gF factor, the speed-related components were most strongly associated with DT-MRI-derived measures. These results suggest that DT-MRI can be used to parse gF.
authors.affiliation: Department of Biological and Medical Psychology, University of Bergen, 5009 Bergen, Norway; Neuroinformatics and Image Analysis Laboratory, Department of Biomedicine, University of Bergen, 5009 Bergen, Norway; Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway. Electronic address: judit.haasz@nevro.uib.no.
authors.forename: Judit
authors.initials: J
authors.lastname: Haász
authors.forename: Erling T
authors.initials: ET
authors.lastname: Westlye
authors.forename: Sveinung
authors.initials: S
authors.lastname: Fjær
authors.forename: Thomas
authors.initials: T
authors.lastname: Espeseth
authors.forename: Arvid
authors.initials: A
authors.lastname: Lundervold
authors.forename: Astri J
authors.initials: AJ
authors.lastname: Lundervold
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000473:pathology* / Q000502:physiology*; D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology*; D056324:Diffusion Tensor Imaging / Q000379:methods; D056344:Executive Function / Q000502:physiology*; D005260:Female; D006801:Humans; D007360:Intelligence / Q000502:physiology*; D007361:Intelligence Tests; D008297:Male; D008875:Middle Aged; D009413:Nerve Fibers, Myelinated / Q000648:ultrastructure*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: DT-MRI; Episodic memory; General fluid-type intelligence; Information processing speed; Reasoning ability; Tract-based spatial statistics; WM structure