Literature DB >> 19847043

Cognitive phenotypes, brain morphometry and the detection of cognitive decline in preclinical AD.

Mark W Jacobson1, Linda K McEvoy, Anders Dale, Christine Fennema-Notestine.   

Abstract

Identifying a preclinical phase of Alzheimer's Disease (PCAD) that is distinct from cognitive changes in healthy aging continues to be a major research focus. Combining neuropsychological and neuroimaging methodologies should improve our ability to differentiate healthy from pathological aging, although studies that utilize both methods often result in equivocal findings, possibly due to variability in cognitive test performance that may be capturing distinct phenotypes. One method of capturing this cognitive variability is to utilize contrasting neuropsychological tests to identify subgroups representative of distinct cognitive phenotypes, and determine whether differences in brain morphometry support these classifications. We review several approaches to defining cognitive subgroups, and we consider the possibility that cognitive asymmetry might provide one means of identifying both functional and structural changes associated with aging and dementia.

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Year:  2009        PMID: 19847043      PMCID: PMC2864725          DOI: 10.3233/BEN-2009-0229

Source DB:  PubMed          Journal:  Behav Neurol        ISSN: 0953-4180            Impact factor:   3.342


  56 in total

1.  Hippocampal volume discriminates between normal cognition; questionable and mild dementia in the elderly.

Authors:  H Wolf; M Grunwald; F Kruggel; S G Riedel-Heller; S Angerhöfer; A Hojjatoleslami; A Hensel; T Arendt; H Gertz
Journal:  Neurobiol Aging       Date:  2001 Mar-Apr       Impact factor: 4.673

2.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

3.  Age-related changes in frontal and temporal lobe volumes in men: a magnetic resonance imaging study.

Authors:  G Bartzokis; M Beckson; P H Lu; K H Nuechterlein; N Edwards; J Mintz
Journal:  Arch Gen Psychiatry       Date:  2001-05

4.  Decreased hippocampal volume asymmetry on MRIs in nondemented elderly subjects carrying the apolipoprotein E epsilon 4 allele.

Authors:  H Soininen; K Partanen; A Pitkänen; M Hallikainen; T Hänninen; S Helisalmi; A Mannermaa; M Ryynänen; K Koivisto; P Riekkinen
Journal:  Neurology       Date:  1995-02       Impact factor: 9.910

5.  Brain structural alterations before mild cognitive impairment.

Authors:  C D Smith; H Chebrolu; D R Wekstein; F A Schmitt; G A Jicha; G Cooper; W R Markesbery
Journal:  Neurology       Date:  2007-04-17       Impact factor: 9.910

6.  Asymmetries in global-local processing ability in elderly people with the apolipoprotein e-epsilon4 allele.

Authors:  Mark W Jacobson; Dean C Delis; Amy Lansing; Wes Houston; Ryan Olsen; Spencer Wetter; Mark W Bondi; David P Salmon
Journal:  Neuropsychology       Date:  2005-11       Impact factor: 3.295

7.  WMS-III performance in patients with temporal lobe epilepsy: group differences and individual classification.

Authors:  N Wilde; E Strauss; G J Chelune; D W Loring; R C Martin; B P Hermann; E Sherman; M Hunter
Journal:  J Int Neuropsychol Soc       Date:  2001-11       Impact factor: 2.892

8.  Structural MRI biomarkers for preclinical and mild Alzheimer's disease.

Authors:  Christine Fennema-Notestine; Donald J Hagler; Linda K McEvoy; Adam S Fleisher; Elaine H Wu; David S Karow; Anders M Dale
Journal:  Hum Brain Mapp       Date:  2009-10       Impact factor: 5.038

9.  Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment.

Authors:  Linda K McEvoy; Christine Fennema-Notestine; J Cooper Roddey; Donald J Hagler; Dominic Holland; David S Karow; Christopher J Pung; James B Brewer; Anders M Dale
Journal:  Radiology       Date:  2009-02-06       Impact factor: 11.105

10.  Heterogeneity of cognitive profiles in normal aging: implications for early manifestations of Alzheimer's disease.

Authors:  M Mitrushina; C Uchiyama; P Satz
Journal:  J Clin Exp Neuropsychol       Date:  1995-05       Impact factor: 2.475

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  5 in total

Review 1.  Quantitative structural MRI for early detection of Alzheimer's disease.

Authors:  Linda K McEvoy; James B Brewer
Journal:  Expert Rev Neurother       Date:  2010-11       Impact factor: 4.618

2.  Reducing case ascertainment costs in U.S. population studies of Alzheimer's disease, dementia, and cognitive impairment-Part 2.

Authors:  Denis A Evans; Francine Grodstein; David Loewenstein; Jeffrey Kaye; Sandra Weintraub
Journal:  Alzheimers Dement       Date:  2011-01       Impact factor: 21.566

3.  Pre-clinical cognitive phenotypes for Alzheimer disease: a latent profile approach.

Authors:  Kathleen M Hayden; Maragatha Kuchibhatla; Heather R Romero; Brenda L Plassman; James R Burke; Jeffrey N Browndyke; Kathleen A Welsh-Bohmer
Journal:  Am J Geriatr Psychiatry       Date:  2013-09-27       Impact factor: 4.105

4.  Demyelination in mild cognitive impairment suggests progression path to Alzheimer's disease.

Authors:  Cristian Carmeli; Alessia Donati; Valérie Antille; Dragana Viceic; Joseph Ghika; Armin von Gunten; Stephanie Clarke; Reto Meuli; Richard S Frackowiak; Maria G Knyazeva
Journal:  PLoS One       Date:  2013-08-30       Impact factor: 3.240

5.  Longitudinal Intraindividual Cognitive Variability Is Associated With Reduction in Regional Cerebral Blood Flow Among Alzheimer's Disease Biomarker-Positive Older Adults.

Authors:  Sophia L Holmqvist; Kelsey R Thomas; Einat K Brenner; Emily C Edmonds; Amanda Calcetas; Lauren Edwards; Maria Bordyug; Katherine J Bangen
Journal:  Front Aging Neurosci       Date:  2022-07-06       Impact factor: 5.702

  5 in total

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