Literature DB >> 14642482

Relation of cognitive reserve and task performance to expression of regional covariance networks in an event-related fMRI study of nonverbal memory.

Christian Habeck1, H John Hilton, Eric Zarahn, Joseph Flynn, James Moeller, Yaakov Stern.   

Abstract

Cognitive reserve (CR) has been established as a mechanism that can explain individual differences in the clinical manifestation of neural changes associated with aging or neurodegenerative diseases. CR may represent individual differences in how tasks are processed (i.e., differences in the component processes), or in the underlying neural circuitry (of the component processes). CR may be a function of innate differences or differential life experiences. To investigate to what extent CR can account for individual differences in brain activation and task performance, we used fMRI to image healthy young individuals while performing a nonverbal memory task. We used IQ estimates as a proxy for CR. During both study and test phase of the task, we identified regional covariance patterns whose change in subject expression across two task conditions correlated with performance and CR. Common brain regions in both activation patterns were suggestive of a brain network previously found to underlie overt and covert shifts of spatial attention. After partialing out the influence of task performance variables, this network still showed an association with the CR, i.e., there were reserve-related physiological differences that presumably would persist were there no subject differences in task performance. This suggests that this network may represent a neural correlate of CR.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14642482     DOI: 10.1016/j.neuroimage.2003.07.032

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


  23 in total

1.  Brain networks associated with cognitive reserve in healthy young and old adults.

Authors:  Yaakov Stern; Christian Habeck; James Moeller; Nikolaos Scarmeas; Karen E Anderson; H John Hilton; Joseph Flynn; Harold Sackeim; Ronald van Heertum
Journal:  Cereb Cortex       Date:  2005-04       Impact factor: 5.357

2.  A common neural network for cognitive reserve in verbal and object working memory in young but not old.

Authors:  Yaakov Stern; Eric Zarahn; Christian Habeck; Roee Holtzer; Brian C Rakitin; Arjun Kumar; Joseph Flynn; Jason Steffener; Truman Brown
Journal:  Cereb Cortex       Date:  2007-08-03       Impact factor: 5.357

3.  Lifecourse social conditions and racial and ethnic patterns of cognitive aging.

Authors:  M Maria Glymour; Jennifer J Manly
Journal:  Neuropsychol Rev       Date:  2008-09-25       Impact factor: 7.444

Review 4.  Cognitive reserve in aging.

Authors:  A M Tucker; Y Stern
Journal:  Curr Alzheimer Res       Date:  2011-06       Impact factor: 3.498

5.  Global cerebral blood flow in relation to cognitive performance and reserve in subjects with mild memory deficits.

Authors:  Laura L Boles Ponto; Vincent A Magnotta; David J Moser; Kevin M Duff; Susan K Schultz
Journal:  Mol Imaging Biol       Date:  2006 Nov-Dec       Impact factor: 3.488

6.  Late-Life Physical and Cognitive Activities Independently Contribute to Brain and Cognitive Resilience.

Authors:  Kaitlin B Casaletto; Miguel Arce Rentería; Judy Pa; Sarah E Tom; Amal Harrati; Nicole M Armstrong; K Bharat Rajan; Dan Mungas; Samantha Walters; Joel Kramer; Laura B Zahodne
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

7.  Effects of body mass index and education on verbal and nonverbal memory.

Authors:  Liselotte De Wit; Joshua W Kirton; Deirdre M O'Shea; Sarah M Szymkowicz; Molly E McLaren; Vonetta M Dotson
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2016-06-15

Review 8.  An approach to studying the neural correlates of reserve.

Authors:  Yaakov Stern
Journal:  Brain Imaging Behav       Date:  2017-04       Impact factor: 3.978

9.  Characterization of disease-related covariance topographies with SSMPCA toolbox: effects of spatial normalization and PET scanners.

Authors:  Shichun Peng; Yilong Ma; Phoebe G Spetsieris; Paul Mattis; Andrew Feigin; Vijay Dhawan; David Eidelberg
Journal:  Hum Brain Mapp       Date:  2013-05-14       Impact factor: 5.038

10.  Neuroanatomical correlates of aging, cardiopulmonary fitness level, and education.

Authors:  Brian A Gordon; Elena I Rykhlevskaia; Carrie R Brumback; Yukyung Lee; Steriani Elavsky; James F Konopack; Edward McAuley; Arthur F Kramer; Stanley Colcombe; Gabriele Gratton; Monica Fabiani
Journal:  Psychophysiology       Date:  2008-07-04       Impact factor: 4.016

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.