Literature DB >> 29213441

Voxel-based morphometry in Alzheimers disease and mild cognitive impairment: Systematic review of studies addressing the frontal lobe.

Luís Gustavo Ribeiro1, Geraldo Busatto2.   

Abstract

Voxel-based morphometry (VBM) is a useful approach for investigating neurostructural brain changes in dementia. We systematically reviewed VBM studies of Alzheimer's disease (AD) and mild cognitive impairment (MCI), specifically focusing on grey matter (GM) atrophy in the frontal lobe.
METHODS: Two searches were performed on the Pubmed database. A set of exclusion criteria was applied to ensure the selection of only VBM studies that directly investigated GM volume abnormalities in AD and/or MCI patients compared to cognitively normal controls.
RESULTS: From a total of 46 selected articles, 35 VBM studies reported GM volume reductions in the frontal lobe. The frontal subregions, where most of the volume reductions were reported, included the inferior, superior and middle frontal gyri, as well as the anterior cingulate gyrus. We also found studies in which reduced frontal GM was detected in MCI patients who converted to AD. In a minority of studies, correlations between frontal GM volumes and behavioural changes or cognitive deficits in AD patients were investigated, with variable findings.
CONCLUSION: Results of VBM studies indicate that the frontal lobe should be regarded as an important brain area when investigating GM volume deficits in association with AD. Frontal GM loss might not be a feature specific to late AD only. Future VBM studies involving large AD samples are warranted to further investigate correlations between frontal volume deficits and both cognitive impairment and neuropsychiatric symptoms.

Entities:  

Keywords:  Alzheimer's disease; frontal lobe; mild cognitive impairment; voxel-based morphometry

Year:  2016        PMID: 29213441      PMCID: PMC5642401          DOI: 10.1590/S1980-5764-2016DN1002006

Source DB:  PubMed          Journal:  Dement Neuropsychol        ISSN: 1980-5764


  53 in total

1.  Detection of grey matter loss in mild Alzheimer's disease with voxel based morphometry.

Authors:  G B Frisoni; C Testa; A Zorzan; F Sabattoli; A Beltramello; H Soininen; M P Laakso
Journal:  J Neurol Neurosurg Psychiatry       Date:  2002-12       Impact factor: 10.154

Review 2.  Voxelwise meta-analysis of gray matter anomalies in Alzheimer's disease and mild cognitive impairment using anatomic likelihood estimation.

Authors:  Jing Yang; PingLei Pan; Wei Song; Rui Huang; JianPeng Li; Ke Chen; QiYong Gong; JianGuo Zhong; HaiChun Shi; HuiFang Shang
Journal:  J Neurol Sci       Date:  2012-03-03       Impact factor: 3.181

3.  Comparison of grey matter and metabolic reductions in frontotemporal dementia using FDG-PET and voxel-based morphometric MR studies.

Authors:  Tomonori Kanda; Kazunari Ishii; Takafumi Uemura; Naokazu Miyamoto; Toshiki Yoshikawa; Atsushi K Kono; Etsuro Mori
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-07-26       Impact factor: 9.236

4.  Distinct MRI atrophy patterns in autopsy-proven Alzheimer's disease and frontotemporal lobar degeneration.

Authors:  G D Rabinovici; W W Seeley; E J Kim; M L Gorno-Tempini; K Rascovsky; T A Pagliaro; S C Allison; C Halabi; J H Kramer; J K Johnson; M W Weiner; M S Forman; J Q Trojanowski; S J Dearmond; B L Miller; H J Rosen
Journal:  Am J Alzheimers Dis Other Demen       Date:  2007 Dec-2008 Jan       Impact factor: 2.035

5.  Gray matter atrophy in Parkinson disease with dementia and dementia with Lewy bodies.

Authors:  Mona K Beyer; Jan P Larsen; Dag Aarsland
Journal:  Neurology       Date:  2007-08-21       Impact factor: 9.910

6.  Different patterns of gray matter atrophy in early- and late-onset Alzheimer's disease.

Authors:  Christiane Möller; Hugo Vrenken; Lize Jiskoot; Adriaan Versteeg; Frederik Barkhof; Philip Scheltens; Wiesje M van der Flier
Journal:  Neurobiol Aging       Date:  2013-04-03       Impact factor: 4.673

7.  Effect of APOE genotype on amyloid plaque load and gray matter volume in Alzheimer disease.

Authors:  A Drzezga; T Grimmer; G Henriksen; M Mühlau; R Perneczky; I Miederer; C Praus; C Sorg; A Wohlschläger; M Riemenschneider; H J Wester; H Foerstl; M Schwaiger; A Kurz
Journal:  Neurology       Date:  2009-04-01       Impact factor: 9.910

8.  Self-appraisal in behavioural variant frontotemporal degeneration.

Authors:  Lauren Massimo; David J Libon; Keerthi Chandrasekaran; Michael Dreyfuss; Corey T McMillan; Katya Rascovsky; Ashley Boller; Murray Grossman
Journal:  J Neurol Neurosurg Psychiatry       Date:  2012-09-05       Impact factor: 10.154

9.  Apolipoprotein E epsilon4 is associated with disease-specific effects on brain atrophy in Alzheimer's disease and frontotemporal dementia.

Authors:  Federica Agosta; Keith A Vossel; Bruce L Miller; Raffaella Migliaccio; Stephen J Bonasera; Massimo Filippi; Adam L Boxer; Anna Karydas; Katherine L Possin; Maria Luisa Gorno-Tempini
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-22       Impact factor: 11.205

10.  Combination of voxel based morphometry and diffusion tensor imaging in patients with Alzheimer's disease.

Authors:  Ibrahim Ibrahim; Jiri Horacek; Ales Bartos; Milan Hajek; Daniela Ripova; Martin Brunovsky; Jaroslav Tintera
Journal:  Neuro Endocrinol Lett       Date:  2009-03       Impact factor: 0.765

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  2 in total

1.  Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.

Authors:  Yang Li; Jingyu Liu; Ziwen Peng; Can Sheng; Minjeong Kim; Pew-Thian Yap; Chong-Yaw Wee; Dinggang Shen
Journal:  Neuroinformatics       Date:  2020-01

Review 2.  Neuroimaging Research on Dementia in Brazil in the Last Decade: Scientometric Analysis, Challenges, and Peculiarities.

Authors:  Liara Rizzi; Ítalo Karmann Aventurato; Marcio L F Balthazar
Journal:  Front Neurol       Date:  2021-03-15       Impact factor: 4.003

  2 in total

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