Literature DB >> 19570593

Consistent neuroanatomical age-related volume differences across multiple samples.

Kristine B Walhovd1, Lars T Westlye, Inge Amlien, Thomas Espeseth, Ivar Reinvang, Naftali Raz, Ingrid Agartz, David H Salat, Doug N Greve, Bruce Fischl, Anders M Dale, Anders M Fjell.   

Abstract

Magnetic resonance imaging (MRI) is the principal method for studying structural age-related brain changes in vivo. However, previous research has yielded inconsistent results, precluding understanding of structural changes of the aging brain. This inconsistency is due to methodological differences and/or different aging patterns across samples. To overcome these problems, we tested age effects on 17 different neuroanatomical structures and total brain volume across five samples, of which one was split to further investigate consistency (883 participants). Widespread age-related volume differences were seen consistently across samples. In four of the five samples, all structures, except the brainstem, showed age-related volume differences. The strongest and most consistent effects were found for cerebral cortex, pallidum, putamen and accumbens volume. Total brain volume, cerebral white matter, caudate, hippocampus and the ventricles consistently showed non-linear age functions. Healthy aging appears associated with more widespread and consistent age-related neuroanatomical volume differences than previously believed.
Copyright © 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19570593      PMCID: PMC4040218          DOI: 10.1016/j.neurobiolaging.2009.05.013

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


  83 in total

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Authors:  G Cohen; N C Andreasen; R Alliger; S Arndt; J Kuan; W T Yuh; J Ehrhardt
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2.  Age-related regional differences in cerebellar vermis observed in vivo.

Authors:  N Raz; I J Torres; W D Spencer; K White; J D Acker
Journal:  Arch Neurol       Date:  1992-04

3.  Selective aging of the human cerebral cortex observed in vivo: differential vulnerability of the prefrontal gray matter.

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4.  Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life.

Authors:  D D Blatter; E D Bigler; S D Gale; S C Johnson; C V Anderson; B M Burnett; N Parker; S Kurth; S D Horn
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5.  Age-related decline in MRI volumes of temporal lobe gray matter but not hippocampus.

Authors:  E V Sullivan; L Marsh; D H Mathalon; K O Lim; A Pfefferbaum
Journal:  Neurobiol Aging       Date:  1995 Jul-Aug       Impact factor: 4.673

6.  The Clinical Dementia Rating (CDR): current version and scoring rules.

Authors:  J C Morris
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7.  A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood.

Authors:  A Pfefferbaum; D H Mathalon; E V Sullivan; J M Rawles; R B Zipursky; K O Lim
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8.  Quantitative magnetic resonance imaging of human brain development: ages 4-18.

Authors:  J N Giedd; J W Snell; N Lange; J C Rajapakse; B J Casey; P L Kozuch; A C Vaituzis; Y C Vauss; S D Hamburger; D Kaysen; J L Rapoport
Journal:  Cereb Cortex       Date:  1996 Jul-Aug       Impact factor: 5.357

9.  Sex differences in human brain morphometry and metabolism: an in vivo quantitative magnetic resonance imaging and positron emission tomography study on the effect of aging.

Authors:  D G Murphy; C DeCarli; A R McIntosh; E Daly; M J Mentis; P Pietrini; J Szczepanik; M B Schapiro; C L Grady; B Horwitz; S I Rapoport
Journal:  Arch Gen Psychiatry       Date:  1996-07

10.  Sex differences in aging of the human frontal and temporal lobes.

Authors:  P E Cowell; B I Turetsky; R C Gur; R I Grossman; D L Shtasel; R E Gur
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  209 in total

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Authors:  Anders M Fjell; Lars T Westlye; Thomas Espeseth; Ivar Reinvang; Anders M Dale; Dominic Holland; Kristine B Walhovd
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2.  Age effects and sex differences in human brain white matter of young to middle-aged adults: A DTI, NODDI, and q-space study.

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4.  Frontal gray matter atrophy in middle aged adults with type 1 diabetes is independent of cardiovascular risk factors and diabetes complications.

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5.  Family history of Alzheimer disease predicts hippocampal atrophy in healthy middle-aged adults.

Authors:  O C Okonkwo; G Xu; N M Dowling; B B Bendlin; A Larue; B P Hermann; R Koscik; E Jonaitis; H A Rowley; C M Carlsson; S Asthana; M A Sager; S C Johnson
Journal:  Neurology       Date:  2012-05-16       Impact factor: 9.910

6.  DTI-based segmentation and quantification of human brain lateral ventricular CSF volumetry and mean diffusivity: validation, age, gender effects and biophysical implications.

Authors:  Khader M Hasan; F Gerard Moeller; Ponnada A Narayana
Journal:  Magn Reson Imaging       Date:  2014-01-29       Impact factor: 2.546

7.  Individual differences in regional cortical volumes across the life span are associated with regional optical measures of arterial elasticity.

Authors:  Antonio M Chiarelli; Mark A Fletcher; Chin Hong Tan; Kathy A Low; Edward L Maclin; Benjamin Zimmerman; Tania Kong; Alexander Gorsuch; Gabriele Gratton; Monica Fabiani
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8.  Lateral ventricular cerebrospinal fluid diffusivity as a potential neuroimaging marker of brain temperature in multiple sclerosis: a hypothesis and implications.

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9.  One-year brain atrophy evident in healthy aging.

Authors:  Anders M Fjell; Kristine B Walhovd; Christine Fennema-Notestine; Linda K McEvoy; Donald J Hagler; Dominic Holland; James B Brewer; Anders M Dale
Journal:  J Neurosci       Date:  2009-12-02       Impact factor: 6.167

10.  The Lifespan Trajectory of the Encoding-Retrieval Flip: A Multimodal Examination of Medial Parietal Cortex Contributions to Episodic Memory.

Authors:  Inge K Amlien; Markus H Sneve; Didac Vidal-Piñeiro; Kristine B Walhovd; Anders M Fjell
Journal:  J Neurosci       Date:  2018-08-24       Impact factor: 6.167

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