4.6 Article

Multiple Brain Markers are Linked to Age-Related Variation in Cognition

期刊

CEREBRAL CORTEX
卷 26, 期 4, 页码 1388-1400

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhu238

关键词

aging; amyloid; executive function; memory; white matter

资金

  1. National Institute on Aging [P01 AG036694, P50 AG005134, R01 AG034556, R01 AG027435, K01 AG040197]
  2. Alzheimer's Association [ZEN-10-174210]
  3. Howard Hughes Medical Institute
  4. National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health [P41EB015896]
  5. NIH [S10RR023401, S10RR019307, S10RR019254, S10RR023043]

向作者/读者索取更多资源

Age-related alterations in brain structure and function have been challenging to link to cognition due to potential overlapping influences of multiple neurobiological cascades. We examined multiple brain markers associated with age-related variation in cognition. Clinically normal older humans aged 65-90 from the Harvard Aging Brain Study (N = 186) were characterized on a priori magnetic resonance imaging markers of gray matter thickness and volume, white matter hyperintensities, fractional anisotropy (FA), resting-state functional connectivity, positron emission tomography markers of glucose metabolism and amyloid burden, and cognitive factors of processing speed, executive function, and episodic memory. Partial correlation and mediation analyses estimated age-related variance in cognition shared with individual brain markers and unique to each marker. The largest relationships linked FA and striatum volume to processing speed and executive function, and hippocampal volume to episodic memory. Of the age-related variance in cognition, 70-80% was accounted for by combining all brain markers (but only similar to 20% of total variance). Age had significant indirect effects on cognition via brain markers, with significant markers varying across cognitive domains. These results suggest that most age-related variation in cognition is shared among multiple brain markers, but potential specificity between some brain markers and cognitive domains motivates additional study of age-related markers of neural health.

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