Literature DB >> 22510257

Brain structural complexity and life course cognitive change.

Nazahah Mustafa1, Trevor S Ahearn, Gordon D Waiter, Alison D Murray, Lawrence J Whalley, Roger T Staff.   

Abstract

Fractal measures such as fractal dimension (FD) can quantify the structural complexity of the brain. These have been used in clinical neuroscience to investigate brain development, ageing and in studies of psychiatric and neurological disorders. Here, we examined associations between the FD of white matter and cognitive changes across the life course in the absence of detectable brain disease. The FD was calculated from segmented cerebral white matter MR images in 217 subjects aged about 68years, in whom archived intelligence scores from age 11years were available. Cognitive test scores of fluid and crystallised intelligence were obtained at the time of MR imaging. Significant differences were found (intracranial volume, brain volume, white matter volume and Raven's Progressive Matrices score) between men and women at age 68years and novel associations were found between FD and measures of cognitive change over the life course from age 11 to 68years. Those with greater FD were found to have greater than expected fluid abilities at age 68years than predicted by their childhood intelligence and less cognitive decline from age 11 to 68years. These results are consistent with other reports that FD measures of cortical structural complexity increase across the early life course during maturation of the cerebral cortex and add new data to support an association between FD and cognitive ageing.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22510257     DOI: 10.1016/j.neuroimage.2012.03.088

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  20 in total

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Journal:  Neuroimage       Date:  2013-07-03       Impact factor: 6.556

2.  Age- and gender-related regional variations of human brain cortical thickness, complexity, and gradient in the third decade.

Authors:  Maud Creze; Leslie Versheure; Pierre Besson; Chloe Sauvage; Xavier Leclerc; Patrice Jissendi-Tchofo
Journal:  Hum Brain Mapp       Date:  2013-10-18       Impact factor: 5.038

3.  Cortical complexity as a measure of age-related brain atrophy.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Neuroimage       Date:  2016-04-19       Impact factor: 6.556

4.  The association of grey matter volume and cortical complexity with individual differences in children's arithmetic fluency.

Authors:  Brecht Polspoel; Maaike Vandermosten; Bert De Smedt
Journal:  Neuropsychologia       Date:  2019-12-03       Impact factor: 3.139

5.  Age-related differences in the structural complexity of subcortical and ventricular structures.

Authors:  Christopher R Madan; Elizabeth A Kensinger
Journal:  Neurobiol Aging       Date:  2016-10-27       Impact factor: 4.673

6.  Investigating sexual dimorphism in human brain structure by combining multiple indexes of brain morphology and source-based morphometry.

Authors:  Gianpaolo Del Mauro; Nicola Del Maschio; Simone Sulpizio; Davide Fedeli; Daniela Perani; Jubin Abutalebi
Journal:  Brain Struct Funct       Date:  2021-09-16       Impact factor: 3.270

7.  Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study.

Authors:  Anca-Larisa Sandu; Gordon D Waiter; Roger T Staff; Nafeesa Nazlee; Tina Habota; Chris J McNeil; Dorota Chapko; Justin H Williams; Caroline H D Fall; Giriraj R Chandak; Shailesh Pene; Murali Krishna; Andrew M McIntosh; Heather C Whalley; Kalyanaraman Kumaran; Ghattu V Krishnaveni; Alison D Murray
Journal:  Sci Rep       Date:  2022-06-30       Impact factor: 4.996

8.  Late-life deficits in cognitive, physical and emotional functions, childhood intelligence and occupational profile: a life-course examination of the Aberdeen 1936 Birth Cohort (ABC1936).

Authors:  Dorota Chapko; Roger T Staff; Christopher J McNeil; Lawrence J Whalley; Corri Black; Alison D Murray
Journal:  Age Ageing       Date:  2016-04-13       Impact factor: 10.668

9.  Age- and sex-related variations in the brain white matter fractal dimension throughout adulthood: an MRI study.

Authors:  S Farahibozorg; S M Hashemi-Golpayegani; J Ashburner
Journal:  Clin Neuroradiol       Date:  2014-01-12       Impact factor: 3.649

10.  Preserved fractal character of structural brain networks is associated with covert consciousness after severe brain injury.

Authors:  Andrea I Luppi; Michael M Craig; Peter Coppola; Alexander R D Peattie; Paola Finoia; Guy B Williams; Judith Allanson; John D Pickard; David K Menon; Emmanuel A Stamatakis
Journal:  Neuroimage Clin       Date:  2021-04-21       Impact factor: 4.881

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