Literature DB >> 24528516

White matter and cognitive decline in aging: a focus on processing speed and variability.

Jonna Nilsson1, Alan J Thomas1, John T O'Brien2, Peter Gallagher3.   

Abstract

White matter (WM) change plays an important role in age-related cognitive decline. In this review, we consider methodological advances with particular relevance to the role of WM in age-related changes in processing speed. In this context, intra-individual variability in processing speed performance has emerged as a sensitive proxy of cognitive and neurological decline while neuroimaging techniques used to assess WM change have become increasingly more sensitive. Together with a carefully designed task protocol, we emphasize that the combined implementation of intra-individual variability and neuroimaging techniques hold promise for specifying the WM-processing speed relationship with implications for normative and clinical samples.

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Year:  2014        PMID: 24528516     DOI: 10.1017/S1355617713001458

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  27 in total

1.  Steeper Slope of Age-Related Changes in White Matter Microstructure and Processing Speed in Bipolar Disorder.

Authors:  Sheena I Dev; Tanya T Nguyen; Benjamin S McKenna; Ashley N Sutherland; Hauke Bartsch; Rebecca J Theilmann; Lisa T Eyler
Journal:  Am J Geriatr Psychiatry       Date:  2017-02-16       Impact factor: 4.105

2.  Cognitive Function in Low-Income and Low-Literacy Settings: Validation of the Tablet-Based Oxford Cognitive Screen in the Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI).

Authors:  Glyn W Humphreys; Mihaela D Duta; Livia Montana; Nele Demeyere; Cathal McCrory; Julia Rohr; Kathleen Kahn; Stephen Tollman; Lisa Berkman
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2016-10-21       Impact factor: 4.077

3.  Brain structure, cognition, and brain age in schizophrenia, bipolar disorder, and healthy controls.

Authors:  Saba Shahab; Benoit H Mulsant; Melissa L Levesque; Navona Calarco; Arash Nazeri; Anne L Wheeler; George Foussias; Tarek K Rajji; Aristotle N Voineskos
Journal:  Neuropsychopharmacology       Date:  2018-12-20       Impact factor: 7.853

4.  Increased neurocognitive intra-individual variability is associated with declines in medication adherence in HIV-infected adults.

Authors:  Nicholas S Thaler; Philip Sayegh; Alyssa Arentoft; April D Thames; Steven A Castellon; Charlie H Hinkin
Journal:  Neuropsychology       Date:  2015-03-02       Impact factor: 3.295

5.  Intraindividual variability in neurocognitive performance: No influence due to HIV status or self-reported effort.

Authors:  Andrew J Levine; Eileen Martin; Cynthia A Munro; Ned Sacktor; Steve Horvath; James T Becker
Journal:  J Clin Exp Neuropsychol       Date:  2018-08-20       Impact factor: 2.475

6.  Age of Last Alcohol Use Disorder Relates to Processing Speed Among Older Adults Living with HIV.

Authors:  Emily W Paolillo; Sarah M Inkelis; Anne Heaton; Rowan Saloner; Raeanne C Moore; David J Moore
Journal:  Alcohol Alcohol       Date:  2019-03-01       Impact factor: 2.826

7.  Shared and unique influences on age-related cognitive change.

Authors:  Timothy A Salthouse
Journal:  Neuropsychology       Date:  2016-11-03       Impact factor: 3.295

8.  Age-related differences in autism: The case of white matter microstructure.

Authors:  P Cédric M P Koolschijn; Matthan W A Caan; Jalmar Teeuw; Sílvia D Olabarriaga; Hilde M Geurts
Journal:  Hum Brain Mapp       Date:  2016-08-11       Impact factor: 5.038

9.  The relevance of aging-related changes in brain function to rehabilitation in aging-related disease.

Authors:  Bruce Crosson; Keith M McGregor; Joe R Nocera; Jonathan H Drucker; Stella M Tran; Andrew J Butler
Journal:  Front Hum Neurosci       Date:  2015-05-27       Impact factor: 3.169

10.  Manipulations of the Response-Stimulus Intervals as a Factor Inducing Controlled Amount of Reaction Time Intra-Individual Variability.

Authors:  Paweł Krukow; Małgorzata Plechawska-Wójcik; Arkadiusz Podkowiński
Journal:  Brain Sci       Date:  2021-05-20
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