Association of structural global brain network properties with intelligence in normal aging.
Higher general intelligence attenuates age-associated cognitive decline and the risk of dementia. Thus, intelligence has been associated with cognitive reserve or resilience in normal aging. Neurophysiologically, intelligence is considered as a complex capacity that is dependent on a global cognitive network rather than isolated brain areas. An association of structural as well as functional brain network characteristics with intelligence has already been reported in young adults. We investigated the relationship between global structural brain network properties, general intelligence and age in a group of 43 cognitively healthy elderly, age 60-85 years. Individuals were assessed cross-sectionally using Wechsler Adult Intelligence Scale-Revised (WAIS-R) and diffusion-tensor imaging. Structural brain networks were reconstructed individually using deterministic tractography, global network properties (global efficiency, mean shortest path length, and clustering coefficient) were determined by graph theory and correlated to intelligence scores within both age groups. Network properties were significantly correlated to age, whereas no significant correlation to WAIS-R was observed. However, in a subgroup of 15 individuals aged 75 and above, the network properties were significantly correlated to WAIS-R. Our findings suggest that general intelligence and global properties of structural brain networks may not be generally associated in cognitively healthy elderly. However, we provide first evidence of an association between global structural brain network properties and general intelligence in advanced elderly. Intelligence might be affected by age-associated network deterioration only if a certain threshold of structural degeneration is exceeded. Thus, age-associated brain structural changes seem to be partially compensated by the network and the range of this compensation might be a surrogate of cognitive reserve or brain resilience.
Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
Florian U
FU
Fischer
Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
Dominik
D
Wolf
Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
Armin
A
Scheurich
Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
Andreas
A
Fellgiebel
D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging; D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D038524:Diffusion Magnetic Resonance Imaging; D005260:Female; D006801:Humans; D007360:Intelligence / Q000502:physiology*; D008297:Male; D008875:Middle Aged; D008959:Models, Neurological