Literature DB >> 26986750

Individual differences in reasoning and visuospatial attention are associated with prefrontal and parietal white matter tracts in healthy older adults.

Zachary A Monge1, Pamela M Greenwood2, Raja Parasuraman2, Maren Strenziok2.   

Abstract

OBJECTIVE: Although reasoning and attention are 2 cognitive processes necessary for ensuring the efficiency of many everyday activities in older adults, the role of white matter integrity in these processes has been little studied. This is an important question due to the role of white matter integrity as a neural substrate of cognitive aging. Here, we sought to examine the white matter tracts subserving reasoning and visuospatial attention in healthy older adults.
METHOD: Sixty-one adults ages 60 and older completed a battery of cognitive tests to assess reasoning and visuospatial attention. In addition, diffusion tensor images were collected to assess fractional anisotropy (FA), a measure of white matter integrity. A principle components analysis of the test scores yielded 2 components: reasoning and visuospatial attention. Whole-brain correlations between FA and the cognitive components were submitted to probabilistic tractography analyses for visualization of cortical targets of tracts.
RESULTS: For reasoning, bilateral thalamo-anterior prefrontal, anterior corpus callosum, and corpus callosum body tracts interconnecting the superior frontal cortices and right cingulum bundle were found. For visuospatial attention, a right inferior fronto-parietal tract and bilateral parietal and temporal connections were found.
CONCLUSIONS: We conclude that in older adults, prefrontal cortex white matter tracts and interhemispheric communication are important in higher order cognitive functioning. On the other hand, right-sided fronto-parietal tracts appear to be critical for supporting control of cognitive processes, such as redirecting attention. Researchers may use our results to develop neuroscience-based interventions for older adults targeting brain mechanisms involved in cognitive plasticity. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Entities:  

Mesh:

Year:  2016        PMID: 26986750      PMCID: PMC4925207          DOI: 10.1037/neu0000264

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


  63 in total

1.  Fiber system linking the mid-dorsolateral frontal cortex with the retrosplenial/presubicular region in the rhesus monkey.

Authors:  R Morris; D N Pandya; M Petrides
Journal:  J Comp Neurol       Date:  1999-05-03       Impact factor: 3.215

2.  Genetics and visual attention: selective deficits in healthy adult carriers of the epsilon 4 allele of the apolipoprotein E gene.

Authors:  P M Greenwood; T Sunderland; J L Friz; R Parasuraman
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-10       Impact factor: 11.205

3.  Quantitative investigation of connections of the prefrontal cortex in the human and macaque using probabilistic diffusion tractography.

Authors:  Paula L Croxson; Heidi Johansen-Berg; Timothy E J Behrens; Matthew D Robson; Mark A Pinsk; Charles G Gross; Wolfgang Richter; Marlene C Richter; Sabine Kastner; Matthew F S Rushworth
Journal:  J Neurosci       Date:  2005-09-28       Impact factor: 6.167

Review 4.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

Review 5.  Assessment of decision-making capacity in older adults: an emerging area of practice and research.

Authors:  Jennifer Moye; Daniel C Marson
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2007-01       Impact factor: 4.077

6.  The brain network for deductive reasoning: a quantitative meta-analysis of 28 neuroimaging studies.

Authors:  Jérôme Prado; Angad Chadha; James R Booth
Journal:  J Cogn Neurosci       Date:  2011-05-13       Impact factor: 3.225

7.  Context-dependent, neural system-specific neurophysiological concomitants of ageing: mapping PET correlates during cognitive activation.

Authors:  G Esposito; B S Kirkby; J D Van Horn; T M Ellmore; K F Berman
Journal:  Brain       Date:  1999-05       Impact factor: 13.501

8.  Effects of apolipoprotein E genotype on spatial attention, working memory, and their interaction in healthy, middle-aged adults: results From the National Institute of Mental Health's BIOCARD study.

Authors:  P M Greenwood; Chantal Lambert; Trey Sunderland; Raja Parasuraman
Journal:  Neuropsychology       Date:  2005-03       Impact factor: 3.295

9.  Neurocognitive enhancement in older adults: comparison of three cognitive training tasks to test a hypothesis of training transfer in brain connectivity.

Authors:  Maren Strenziok; Raja Parasuraman; Ellen Clarke; Dean S Cisler; James C Thompson; Pamela M Greenwood
Journal:  Neuroimage       Date:  2013-08-06       Impact factor: 6.556

10.  Poor decision making is a consequence of cognitive decline among older persons without Alzheimer's disease or mild cognitive impairment.

Authors:  Patricia A Boyle; Lei Yu; Robert S Wilson; Keith Gamble; Aron S Buchman; David A Bennett
Journal:  PLoS One       Date:  2012-08-20       Impact factor: 3.240

View more
  6 in total

1.  Functional modular architecture underlying attentional control in aging.

Authors:  Zachary A Monge; Benjamin R Geib; Rachel E Siciliano; Lauren E Packard; Catherine W Tallman; David J Madden
Journal:  Neuroimage       Date:  2017-05-02       Impact factor: 6.556

2.  Sources of disconnection in neurocognitive aging: cerebral white-matter integrity, resting-state functional connectivity, and white-matter hyperintensity volume.

Authors:  David J Madden; Emily L Parks; Catherine W Tallman; Maria A Boylan; David A Hoagey; Sally B Cocjin; Lauren E Packard; Micah A Johnson; Ying-Hui Chou; Guy G Potter; Nan-Kuei Chen; Rachel E Siciliano; Zachary A Monge; Jesse A Honig; Michele T Diaz
Journal:  Neurobiol Aging       Date:  2017-03-18       Impact factor: 4.673

3.  White matter microstructural correlates of relapse in alcohol dependence.

Authors:  Yukai Zou; Donna E Murray; Timothy C Durazzo; Thomas P Schmidt; Troy A Murray; Dieter J Meyerhoff
Journal:  Psychiatry Res Neuroimaging       Date:  2018-09-18       Impact factor: 2.376

4.  Microstructural Changes of the Human Brain from Early to Mid-Adulthood.

Authors:  Lixia Tian; Lin Ma
Journal:  Front Hum Neurosci       Date:  2017-08-07       Impact factor: 3.169

Review 5.  Tuning Up the Old Brain with New Tricks: Attention Training via Neurofeedback.

Authors:  Yang Jiang; Reza Abiri; Xiaopeng Zhao
Journal:  Front Aging Neurosci       Date:  2017-03-13       Impact factor: 5.750

Review 6.  Overview of (f)MRI Studies of Cognitive Aging for Non-Experts: Looking through the Lens of Neuroimaging.

Authors:  Toshikazu Kawagoe
Journal:  Life (Basel)       Date:  2022-03-12
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.