Literature DB >> 25358750

Participation in cognitively-stimulating activities is associated with brain structure and cognitive function in preclinical Alzheimer's disease.

Stephanie A Schultz1,2, Jordan Larson1,2, Jennifer Oh1,2, Rebecca Koscik3, Maritza N Dowling2,3,4, Catherine L Gallagher1,5, Cynthia M Carlsson1,2, Howard A Rowley2,6, Barbara B Bendlin1,2,3, Sanjay Asthana1,2,3, Bruce P Hermann2,3,5, Sterling C Johnson1,2,3, Mark Sager2,3, Asenath LaRue2,3, Ozioma C Okonkwo7,8,9,10.   

Abstract

This study tested the hypothesis that frequent participation in cognitively-stimulating activities, specifically those related to playing games and puzzles, is beneficial to brain health and cognition among middle-aged adults at increased risk for Alzheimer's disease (AD). Three hundred twenty-nine cognitively normal, middle-aged adults (age range, 43.2-73.8 years) enrolled in the Wisconsin Registry for Alzheimer's Prevention (WRAP) participated in this study. They reported their current engagement in cognitive activities using a modified version of the Cognitive Activity Scale (CAS), underwent a structural MRI scan, and completed a comprehensive cognitive battery. FreeSurfer was used to derive gray matter (GM) volumes from AD-related regions of interest (ROIs), and composite measures of episodic memory and executive function were obtained from the cognitive tests. Covariate-adjusted least squares analyses were used to examine the association between the Games item on the CAS (CAS-Games) and both GM volumes and cognitive composites. Higher scores on CAS-Games were associated with greater GM volumes in several ROIs including the hippocampus, posterior cingulate, anterior cingulate, and middle frontal gyrus. Similarly, CAS-Games scores were positively associated with scores on the Immediate Memory, Verbal Learning & Memory, and Speed & Flexibility domains. These findings were not modified by known risk factors for AD. In addition, the Total score on the CAS was not as sensitive as CAS-Games to the examined brain and cognitive measures. For some individuals, participation in cognitive activities pertinent to game playing may help prevent AD by preserving brain structures and cognitive functions vulnerable to AD pathophysiology.

Entities:  

Keywords:  AD prevention; Brain imaging; Cognition; Cognitive activity; Preclinical Alzheimer’s disease

Mesh:

Year:  2015        PMID: 25358750      PMCID: PMC4417099          DOI: 10.1007/s11682-014-9329-5

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  30 in total

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Journal:  Arch Neurol       Date:  2012-05

2.  Identifying cognitively healthy elderly individuals with subsequent memory decline by using automated MR temporoparietal volumes.

Authors:  Gloria C Chiang; Philip S Insel; Duygu Tosun; Norbert Schuff; Diana Truran-Sacrey; Sky Raptentsetsang; Clifford R Jack; Michael W Weiner
Journal:  Radiology       Date:  2011-04-05       Impact factor: 11.105

3.  Cognitive activity and the cognitive morbidity of Alzheimer disease.

Authors:  R S Wilson; L L Barnes; N T Aggarwal; P A Boyle; L E Hebert; C F Mendes de Leon; D A Evans
Journal:  Neurology       Date:  2010-09-01       Impact factor: 9.910

4.  Early diagnosis of Alzheimer's disease: contribution of structural neuroimaging.

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Journal:  Neuroimage       Date:  2003-02       Impact factor: 6.556

5.  Lifestyle activities and memory: variety may be the spice of life. The women's health and aging study II.

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Journal:  J Int Neuropsychol Soc       Date:  2011-12-15       Impact factor: 2.892

Review 6.  Cognitive reserve in ageing and Alzheimer's disease.

Authors:  Yaakov Stern
Journal:  Lancet Neurol       Date:  2012-11       Impact factor: 44.182

7.  Does participation in leisure activities lead to reduced risk of Alzheimer's disease? A prospective study of Swedish twins.

Authors:  Michael Crowe; Ross Andel; Nancy L Pedersen; Boo Johansson; Margaret Gatz
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2003-09       Impact factor: 4.077

8.  Executive Dysfunction in MCI: Subtype or Early Symptom.

Authors:  Ivar Reinvang; Ramune Grambaite; Thomas Espeseth
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Review 9.  Successful brain aging: plasticity, environmental enrichment, and lifestyle.

Authors:  Francisco Mora
Journal:  Dialogues Clin Neurosci       Date:  2013-03       Impact factor: 5.986

10.  Lifespan mental activity predicts diminished rate of hippocampal atrophy.

Authors:  Michael J Valenzuela; Perminder Sachdev; Wei Wen; Xiaohua Chen; Henry Brodaty
Journal:  PLoS One       Date:  2008-07-09       Impact factor: 3.240

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  18 in total

1.  Association between personality and tau-PET binding in cognitively normal older adults.

Authors:  Stephanie A Schultz; Brian A Gordon; Shruti Mishra; Yi Su; John C Morris; Beau M Ances; Janet M Duchek; David A Balota; Tammie L S Benzinger
Journal:  Brain Imaging Behav       Date:  2020-12       Impact factor: 3.978

2.  Life course linkages between enriching early-life activities and later life cognition: Evidence from the Wisconsin Longitudinal Study.

Authors:  Emily A Greenfield; Addam Reynolds; Sara M Moorman
Journal:  Soc Sci Med       Date:  2021-12-21       Impact factor: 4.634

3.  Long-term television viewing patterns and gray matter brain volume in midlife.

Authors:  Ryan J Dougherty; Tina D Hoang; Lenore J Launer; David R Jacobs; Stephen Sidney; Kristine Yaffe
Journal:  Brain Imaging Behav       Date:  2021-09-06       Impact factor: 3.224

4.  BDNF Val66Met predicts cognitive decline in the Wisconsin Registry for Alzheimer's Prevention.

Authors:  Elizabeth A Boots; Stephanie A Schultz; Lindsay R Clark; Annie M Racine; Burcu F Darst; Rebecca L Koscik; Cynthia M Carlsson; Catherine L Gallagher; Kirk J Hogan; Barbara B Bendlin; Sanjay Asthana; Mark A Sager; Bruce P Hermann; Bradley T Christian; Dena B Dubal; Corinne D Engelman; Sterling C Johnson; Ozioma C Okonkwo
Journal:  Neurology       Date:  2017-05-03       Impact factor: 9.910

5.  Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning.

Authors:  Yudong Zhang; Zhengchao Dong; Preetha Phillips; Shuihua Wang; Genlin Ji; Jiquan Yang; Ti-Fei Yuan
Journal:  Front Comput Neurosci       Date:  2015-06-02       Impact factor: 2.380

6.  Neurochemical and Neuroanatomical Plasticity Following Memory Training and Yoga Interventions in Older Adults with Mild Cognitive Impairment.

Authors:  Hongyu Yang; Amber M Leaver; Prabha Siddarth; Pattharee Paholpak; Linda Ercoli; Natalie M St Cyr; Harris A Eyre; Katherine L Narr; Dharma S Khalsa; Helen Lavretsky
Journal:  Front Aging Neurosci       Date:  2016-11-21       Impact factor: 5.750

Review 7.  The Wisconsin Registry for Alzheimer's Prevention: A review of findings and current directions.

Authors:  Sterling C Johnson; Rebecca L Koscik; Erin M Jonaitis; Lindsay R Clark; Kimberly D Mueller; Sara E Berman; Barbara B Bendlin; Corinne D Engelman; Ozioma C Okonkwo; Kirk J Hogan; Sanjay Asthana; Cynthia M Carlsson; Bruce P Hermann; Mark A Sager
Journal:  Alzheimers Dement (Amst)       Date:  2017-12-08

8.  Drawing on the brain's resilience to fight Alzheimer's disease.

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Journal:  Nature       Date:  2018-07       Impact factor: 49.962

9.  Detection of Alzheimer's disease by displacement field and machine learning.

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10.  Cognitively Engaging Activity Is Associated with Greater Cortical and Subcortical Volumes.

Authors:  Talia R Seider; Robert A Fieo; Andrew O'Shea; Eric C Porges; Adam J Woods; Ronald A Cohen
Journal:  Front Aging Neurosci       Date:  2016-05-02       Impact factor: 5.750

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