Literature DB >> 21531482

Maximal brain size remains an important predictor of cognition in old age, independent of current brain pathology.

Sarah Tomaszewski Farias1, Dan Mungas, Bruce Reed, Owen Carmichael, Laurel Beckett, Danielle Harvey, John Olichney, Amanda Simmons, Charles Decarli.   

Abstract

There is growing interest in the influence of early-life development on clinical manifestations of late-life diseases. Latent variable modeling was used to investigate how maximal brain volume (measured by intracranial volume [ICV]) and current brain volumes uniquely contribute to domain-specific cognitive performance in a group of 401 cognitively and ethnically diverse older adults. Individual effects of volumetric magnetic resonance imaging (MRI) measures including ICV were examined as predictors of episodic memory, semantic memory, spatial ability, and executive function. Total brain matter volume related to all cognitive domains; hippocampal volume was associated primarily with episodic memory; white matter hyperintensity volume was related to executive function and episodic memory. Maximal brain size as measured by ICV was related to semantic memory, executive function, and spatial ability independent of current brain volumes (ps < 0.01). Relationships between magnetic resonance imaging (MRI) variables and cognition did not differ substantially across groups defined by ethnicity, gender, and with minor exceptions, clinical diagnosis. Results suggest maximal brain development and measures of brain injury/atrophy jointly contribute to cognitive function in older people.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21531482      PMCID: PMC3177982          DOI: 10.1016/j.neurobiolaging.2011.03.017

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


  55 in total

Review 1.  The effects of early adversity on the adult and developing brain.

Authors:  Przemyslaw Tomalski; Mark H Johnson
Journal:  Curr Opin Psychiatry       Date:  2010-05       Impact factor: 4.741

Review 2.  Effects of childhood development on late-life mental disorders.

Authors:  Giovanni A Salum; Guilherme V Polanczyk; Eurípedes C Miguel; Luis A P Rohde
Journal:  Curr Opin Psychiatry       Date:  2010-11       Impact factor: 4.741

3.  Age and education effects on relationships of cognitive test scores with brain structure in demographically diverse older persons.

Authors:  Dan Mungas; Bruce R Reed; Sarah Tomaszewski Farias; Charles Decarli
Journal:  Psychol Aging       Date:  2009-03

4.  Brain sizes, surfaces, and neuronal sizes of the cortex cerebri: a stereological investigation of man and his variability and a comparison with some mammals (primates, whales, marsupials, insectivores, and one elephant).

Authors:  H Haug
Journal:  Am J Anat       Date:  1987-10

5.  Education, atrophy, and cognitive change in an epidemiological sample in early old age.

Authors:  Helen Christensen; Philip J Batterham; Andrew J Mackinnon; Kaarin J Anstey; Wei Wen; Perminder S Sachdev
Journal:  Am J Geriatr Psychiatry       Date:  2009-03       Impact factor: 4.105

6.  Whole-brain atrophy rate and cognitive decline: longitudinal MR study of memory clinic patients.

Authors:  Jasper D Sluimer; Wiesje M van der Flier; Giorgos B Karas; Nick C Fox; Philip Scheltens; Frederik Barkhof; Hugo Vrenken
Journal:  Radiology       Date:  2008-06-23       Impact factor: 11.105

7.  Cognitive decline is associated with nutritional risk in subjects with small head circumference (HC).

Authors:  Kang Soo Lee; Hae-Kwan Cheong; Jin-Sup Eom; Hae Sun Jung; Byoung Hoon Oh; Chang Hyung Hong
Journal:  Arch Gerontol Geriatr       Date:  2009-10-12       Impact factor: 3.250

8.  Analysis of brain weight. I. Adult brain weight in relation to sex, race, and age.

Authors:  K C Ho; U Roessmann; J V Straumfjord; G Monroe
Journal:  Arch Pathol Lab Med       Date:  1980-12       Impact factor: 5.534

9.  Risk factors across the life course and dementia in a Brazilian population: results from the Sao Paulo Ageing & Health Study (SPAH).

Authors:  Marcia Scazufca; Paulo R Menezes; Ricardo Araya; Vanessa D Di Rienzo; Osvaldo P Almeida; David Gunnell; Debbie A Lawlor
Journal:  Int J Epidemiol       Date:  2008-06-26       Impact factor: 7.196

10.  Maximum (prior) brain size, not atrophy, correlates with cognition in community-dwelling older people: a cross-sectional neuroimaging study.

Authors:  Susan D Shenkin; Carly S Rivers; Ian J Deary; John M Starr; Joanna M Wardlaw
Journal:  BMC Geriatr       Date:  2009-04-02       Impact factor: 3.921

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  27 in total

1.  Idea density measured in late life predicts subsequent cognitive trajectories: implications for the measurement of cognitive reserve.

Authors:  Sarah Tomaszewski Farias; Vineeta Chand; Lisa Bonnici; Kathleen Baynes; Danielle Harvey; Dan Mungas; Christa Simon; Bruce Reed
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2012-02-22       Impact factor: 4.077

2.  A composite score for executive functioning, validated in Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with baseline mild cognitive impairment.

Authors:  Laura E Gibbons; Adam C Carle; R Scott Mackin; Danielle Harvey; Shubhabrata Mukherjee; Philip Insel; S McKay Curtis; Dan Mungas; Paul K Crane
Journal:  Brain Imaging Behav       Date:  2012-12       Impact factor: 3.978

3.  Relationship of medial temporal lobe atrophy, APOE genotype, and cognitive reserve in preclinical Alzheimer's disease.

Authors:  Anja Soldan; Corinne Pettigrew; Yi Lu; Mei-Cheng Wang; Ola Selnes; Marilyn Albert; Timothy Brown; J Tilak Ratnanather; Laurent Younes; Michael I Miller
Journal:  Hum Brain Mapp       Date:  2015-04-16       Impact factor: 5.038

4.  Early life development in a multiethnic sample and the relation to late life cognition.

Authors:  Rebecca J Melrose; Paul Brewster; María J Marquine; Anna MacKay-Brandt; Bruce Reed; Sarah T Farias; Dan Mungas
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2014-01-03       Impact factor: 4.077

5.  Automated CT-based segmentation and quantification of total intracranial volume.

Authors:  Carlos Aguilar; Kaijsa Edholm; Andrew Simmons; Lena Cavallin; Susanne Muller; Ingmar Skoog; Elna-Marie Larsson; Rimma Axelsson; Lars-Olof Wahlund; Eric Westman
Journal:  Eur Radiol       Date:  2015-04-16       Impact factor: 5.315

6.  Simultaneous total intracranial volume and posterior fossa volume estimation using multi-atlas label fusion.

Authors:  Yuankai Huo; Andrew J Asman; Andrew J Plassard; Bennett A Landman
Journal:  Hum Brain Mapp       Date:  2016-10-11       Impact factor: 5.038

Review 7.  Structural imaging measures of brain aging.

Authors:  Samuel N Lockhart; Charles DeCarli
Journal:  Neuropsychol Rev       Date:  2014-08-22       Impact factor: 7.444

8.  Regional magnetic resonance imaging measures for multivariate analysis in Alzheimer's disease and mild cognitive impairment.

Authors:  Eric Westman; Carlos Aguilar; J-Sebastian Muehlboeck; Andrew Simmons
Journal:  Brain Topogr       Date:  2012-08-14       Impact factor: 3.020

9.  Variables associated with hippocampal atrophy rate in normal aging and mild cognitive impairment.

Authors:  Rachel L Nosheny; Philip S Insel; Diana Truran; Norbert Schuff; Clifford R Jack; Paul S Aisen; Leslie M Shaw; John Q Trojanowski; Michael W Weiner
Journal:  Neurobiol Aging       Date:  2014-08-01       Impact factor: 4.673

10.  Brain reserve and cognitive reserve protect against cognitive decline over 4.5 years in MS.

Authors:  James F Sumowski; Maria A Rocca; Victoria M Leavitt; Jelena Dackovic; Sarlota Mesaros; Jelena Drulovic; John DeLuca; Massimo Filippi
Journal:  Neurology       Date:  2014-04-18       Impact factor: 9.910

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