Literature DB >> 33970659

Periventricular and deep abnormal white matter differ in associations with cognitive performance at midlife.

Mark Sanderson-Cimino1, Matthew S Panizzon2, Jeremy A Elman2, Xin Tu3, Daniel E Gustavson2, Olivia Puckett2, Karalani Cross4, Randy Notestine4, Sean N Hatton2, Lisa T Eyler4, Linda K McEvoy5, Donald J Hagler5, Michael C Neale6, Nathan A Gillespie6, Michael J Lyons7, Carol E Franz2, Christine Fennema-Notestine2, William S Kremen2.   

Abstract

Objective: Abnormal white matter (AWM) on magnetic resonance imaging is associated with cognitive performance in older adults. We explored cognitive associations with AWM during late-midlife. Method: Participants were community-dwelling men (n = 242; M = 61.90 years; range = 56-66). Linear-mixed effects regression models examined associations of total, periventricular, and deep AWM with cognitive performance, controlling for multiple comparisons. Models considering specific cognitive domains controlled for current general cognitive ability (GCA). We hypothesized that total AWM would be associated with worse processing speed, executive function, and current GCA; deep AWM would correlate with GCA and periventricular AWM would relate to specific cognitive abilities. We also assessed the potential influence of cognitive reserve by examining a moderation effect of early life (mean age of 20) cognition.
Results: Greater total and deep AWM were associated with poorer current GCA. Periventricular AWM was associated with worse executive function, working memory, and episodic memory. When periventricular and deep AWM were modeled simultaneously, both retained their respective significant associations with cognitive performance. Cognitive reserve did not moderate associations. Conclusions: Our findings suggest that AWM contributes to poorer cognitive function in late-midlife. Examining only total AWM may obscure the potential differential impact of regional AWM. Separating total AWM into subtypes while controlling for current GCA revealed a dissociation in relationships with cognitive performance; deep AWM was associated with nonspecific cognitive ability whereas periventricular AWM was associated with specific frontal-related abilities and memory. Management of vascular or other risk factors that may increase the risk of AWM should begin during or before early late-midlife. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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Year:  2021        PMID: 33970659      PMCID: PMC8500190          DOI: 10.1037/neu0000718

Source DB:  PubMed          Journal:  Neuropsychology        ISSN: 0894-4105            Impact factor:   3.295


  77 in total

1.  Correlations between MRI white matter lesion location and executive function and episodic memory.

Authors:  E E Smith; D H Salat; J Jeng; C R McCreary; B Fischl; J D Schmahmann; B C Dickerson; A Viswanathan; M S Albert; D Blacker; S M Greenberg
Journal:  Neurology       Date:  2011-04-26       Impact factor: 9.910

2.  Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix.

Authors:  J Li; L Ji
Journal:  Heredity (Edinb)       Date:  2005-09       Impact factor: 3.821

3.  White matter lesions in an unselected cohort of the elderly: molecular pathology suggests origin from chronic hypoperfusion injury.

Authors:  Malee S Fernando; Julie E Simpson; Fiona Matthews; Carol Brayne; Claire E Lewis; Robert Barber; Raj N Kalaria; Gill Forster; Filomena Esteves; Stephen B Wharton; Pamela J Shaw; John T O'Brien; Paul G Ince
Journal:  Stroke       Date:  2006-04-20       Impact factor: 7.914

4.  White Matter Hyperintensities Are Under Strong Genetic Influence.

Authors:  Perminder S Sachdev; Anbupalam Thalamuthu; Karen A Mather; David Ames; Margaret J Wright; Wei Wen
Journal:  Stroke       Date:  2016-05-10       Impact factor: 7.914

5.  Multimodality image registration by maximization of mutual information.

Authors:  F Maes; A Collignon; D Vandermeulen; G Marchal; P Suetens
Journal:  IEEE Trans Med Imaging       Date:  1997-04       Impact factor: 10.048

6.  Influence of education on the relationship between white matter lesions and cognition.

Authors:  C Dufouil; A Alpérovitch; C Tzourio
Journal:  Neurology       Date:  2003-03-11       Impact factor: 9.910

Review 7.  Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the american heart association/american stroke association.

Authors:  Philip B Gorelick; Angelo Scuteri; Sandra E Black; Charles Decarli; Steven M Greenberg; Costantino Iadecola; Lenore J Launer; Stephane Laurent; Oscar L Lopez; David Nyenhuis; Ronald C Petersen; Julie A Schneider; Christophe Tzourio; Donna K Arnett; David A Bennett; Helena C Chui; Randall T Higashida; Ruth Lindquist; Peter M Nilsson; Gustavo C Roman; Frank W Sellke; Sudha Seshadri
Journal:  Stroke       Date:  2011-07-21       Impact factor: 7.914

8.  White matter hyperintensities and cognition: testing the reserve hypothesis.

Authors:  Adam M Brickman; Karen L Siedlecki; Jordan Muraskin; Jennifer J Manly; José A Luchsinger; Lok-Kin Yeung; Truman R Brown; Charles DeCarli; Yaakov Stern
Journal:  Neurobiol Aging       Date:  2009-11-18       Impact factor: 4.673

9.  Stroke risk profile predicts white matter hyperintensity volume: the Framingham Study.

Authors:  Tom Jeerakathil; Philip A Wolf; Alexa Beiser; Joseph Massaro; Sudha Seshadri; Ralph B D'Agostino; Charles DeCarli
Journal:  Stroke       Date:  2004-06-24       Impact factor: 7.914

Review 10.  The association between cognitive function and white matter lesion location in older adults: a systematic review.

Authors:  Niousha Bolandzadeh; Jennifer C Davis; Roger Tam; Todd C Handy; Teresa Liu-Ambrose
Journal:  BMC Neurol       Date:  2012-10-30       Impact factor: 2.474

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