Literature DB >> 32623262

Frontostriatal white matter connectivity: age differences and associations with cognition and BOLD modulation.

Christina E Webb1, David A Hoagey1, Karen M Rodrigue1, Kristen M Kennedy2.   

Abstract

Despite the importance of cortico-striatal circuits to cognition, investigation of age effects on the structural circuitry connecting these regions is limited. The current study examined age effects on frontostriatal white matter connectivity, and identified associations with both executive function performance and dynamic modulation of blood-oxygen-level-dependent (BOLD) activation to task difficulty in a lifespan sample of 169 healthy humans aged 20-94 years. Greater frontostriatal diffusivity was associated with poorer executive function and this negative association strengthened with increasing age. Whole-brain functional magnetic resonance imaging (fMRI) analyses additionally indicated an association between frontostriatal mean diffusivity and BOLD modulation to difficulty selectively in the striatum across 2 independent fMRI tasks. This association was moderated by age, such that younger- and middle-aged individuals showed reduced dynamic range of difficulty modulation as a function of increasing frontostriatal diffusivity. Together these results demonstrate the importance of age-related degradation of frontostriatal circuitry on executive functioning across the lifespan, and highlight the need to capture brain changes occurring in early-to middle-adulthood.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; BOLD; Cognitive aging; Executive function; Frontostriatal; White matter connectivity

Year:  2020        PMID: 32623262      PMCID: PMC7483315          DOI: 10.1016/j.neurobiolaging.2020.05.014

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  52 in total

1.  Aging cognition: from neuromodulation to representation.

Authors:  Shu Chen Li; Ulman Lindenberger; Sverker Sikström
Journal:  Trends Cogn Sci       Date:  2001-11-01       Impact factor: 20.229

Review 2.  Differential aging of the brain: patterns, cognitive correlates and modifiers.

Authors:  Naftali Raz; Karen M Rodrigue
Journal:  Neurosci Biobehav Rev       Date:  2006-08-17       Impact factor: 8.989

3.  Age-dependent decline in human brain dopamine D1 and D2 receptors.

Authors:  J O Rinne; P Lönnberg; P Marjamäki
Journal:  Brain Res       Date:  1990-02-05       Impact factor: 3.252

Review 4.  Linking cognitive aging to alterations in dopamine neurotransmitter functioning: recent data and future avenues.

Authors:  Lars Bäckman; Ulman Lindenberger; Shu-Chen Li; Lars Nyberg
Journal:  Neurosci Biobehav Rev       Date:  2009-12-21       Impact factor: 8.989

Review 5.  Advances in functional neuroanatomy: a review of combined DTI and fMRI studies in healthy younger and older adults.

Authors:  Ilana J Bennett; Bart Rypma
Journal:  Neurosci Biobehav Rev       Date:  2013-04-26       Impact factor: 8.989

6.  Dynamic range of frontoparietal functional modulation is associated with working memory capacity limitations in older adults.

Authors:  Jonathan G Hakun; Nathan F Johnson
Journal:  Brain Cogn       Date:  2017-08-31       Impact factor: 2.310

7.  Span, CRUNCH, and beyond: working memory capacity and the aging brain.

Authors:  Nils J Schneider-Garces; Brian A Gordon; Carrie R Brumback-Peltz; Eunsam Shin; Yukyung Lee; Bradley P Sutton; Edward L Maclin; Gabriele Gratton; Monica Fabiani
Journal:  J Cogn Neurosci       Date:  2010-04       Impact factor: 3.225

8.  Variability in nucleus accumbens activity mediates age-related suboptimal financial risk taking.

Authors:  Gregory R Samanez-Larkin; Camelia M Kuhnen; Daniel J Yoo; Brian Knutson
Journal:  J Neurosci       Date:  2010-01-27       Impact factor: 6.167

9.  PsychoPy--Psychophysics software in Python.

Authors:  Jonathan W Peirce
Journal:  J Neurosci Methods       Date:  2007-01-23       Impact factor: 2.390

10.  Generating Stimuli for Neuroscience Using PsychoPy.

Authors:  Jonathan W Peirce
Journal:  Front Neuroinform       Date:  2009-01-15       Impact factor: 4.081

View more
  1 in total

1.  Prediction in the Aging Brain: Merging Cognitive, Neurological, and Evolutionary Perspectives.

Authors:  Rachel M Brown; Stefan L K Gruijters; Sonja A Kotz
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2022-09-01       Impact factor: 4.942

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.