Using voxel-based morphometry to map the structural changes associated with rapid conversion in MCI: A longitudinal MRI study

Chételat, Gaël; Landeau, Brigitte; Eustache, Francis; Mézenge, Florence; Viader, Fausto; Sayette, Vincent de La; Desgranges, Béatrice; Baron, Jean‐Claude

doi:10.1016/j.neuroimage.2005.05.015

Cited by 477 publications

(420 citation statements)

References 45 publications

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“…MRI data were analyzed using the optimized VBM protocol, described in details elsewhere [24], and already used in our laboratory [8,9]. Briefly, the procedure included customized template creation (of the whole brain and of the grey matter (GM), white matter (WM), and cerebro-spinal fluid (CSF) sets) from the MRI data of the whole patient and control samples (n = 27), segmentation and normalization of the original (i.e.…”

Section: Image Handling and Transformationsmentioning

confidence: 99%

“…Visual inspection of MRI brain scans has suggested that the hippocampal complex is preserved in SD, which might fit with normal day-to-day memory, or near normal performance on episodic memory tests in some patients [27,28,57,58]. Some authors [29,9] did not find significant atrophy of the hippocampus and adjacent structures using the SPM software which allows a voxel-by-voxel analysis (Voxel Based Morphometry, VBM) of the entire brain. Nevertheless, some studies using the region-of-interest (ROI) method [7,12,22,52] emphasized bilateral hippocampal atrophy, predominant on the left hemisphere.…”

Section: Introductionmentioning

confidence: 99%

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Anatomical and functional alterations in semantic dementia: A voxel-based MRI and PET study

Desgranges

Matuszewski

Piolino

et al. 2007

Neurobiology of Aging

137

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Rare studies have used MRI and voxel based morphometry (VBM) to assess atrophy, and only two PET studies used SPM to examine functional changes in semantic dementia (SD). Our aim was to highlight both morphological and functional abnormalities in a same group of 10 SD patients, in the entire brain, using a "state of the art" methodology (optimized VBM procedure, PET data corrected for partial volume effects and voxel based analyses). We also used an extensive neuropsychological battery. We showed that main alterations concerned the left temporal lobe, in accordance with the striking impairment of semantic memory in SD patients, as well as the hippocampal region, which may partly explain their moderate episodic memory deficits. Hypometabolism was more extensive than grey matter loss in both temporal lobes, and specifically concerned the orbitofrontal areas, consistent with the moderate impairment of executive functions and behavioural changes. While PET is more sensitive than MRI, there is striking concordance between morphological and functional abnormalities, which contrast with the discordance observed in Alzheimer"s disease and might be a typical feature of SD.3

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Section: Image Handling and Transformationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Anatomical and functional alterations in semantic dementia: A voxel-based MRI and PET study

Desgranges

Matuszewski

Piolino

et al. 2007

Neurobiology of Aging

137

View full text Add to dashboard Cite

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“…Several recent studies (Janke et al, 2001, Wang et al, 2003, Thompson et al, 2004, Chetelat et al, 2005 have demonstrated that statistical mapping is a promising approach for analyzing brain structures because it could be used to visualize localized information by color encoding. Similar algorithms were used to evaluate structural changes of hippocampus in different physiological conditions (Thompson et al, 2004, Becker et al, 2006, Frisoni et al, 2006, Scher et al, 2007.…”

Section: Hippocampal Shape Mapsmentioning

confidence: 99%

“…The age association has been demonstrated in several studies with cross-sectional (Lim et al, 1990, Coffey et al, 1992, Pfefferbaum et al, 1994, Sullivan et al, 1995, De Leon et al, 1997, Schuff et al, 1999, Jernigan et al, 2001, Scahill et al, 2003, Sullivan et al, 2005 and longitudinal (Jack et al, 1998, Scahill et al, 2003, Raz et al, 2004b, Du et al, 2006 designs. Recent research based on magnetic resonance imaging (MRI) has also demonstrated that a spatial mapping method could enhance the detection of the subtle changes in volumetric information and the understanding of age effects on specific regions of hippocampi (Janke et al, 2001, Wang et al, 2003, Thompson et al, 2004, Chetelat et al, 2005.…”

Section: Introductionmentioning

confidence: 99%

“…Volumetric measures of the hippocampus alone do not clearly define the specific region of morphological change. Geometric shape analysis methods that capture local changes in specific brain structures can complement volumetric measures (Janke et al, 2001, Wang et al, 2003, Thompson et al, 2004, Chetelat et al, 2005. In previous applications of geometric shape analysis methods in AD studies, the global and morphological changes were demonstrated for a predefined fixed short period (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Age effects on hippocampal structural changes in old men: The HAAS

Valentino

Scher

et al. 2008

NeuroImage

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Understanding the variability of the hippocampus in human brain research is essential. The effect of age on the hippocampus has been explored in several studies that have been focused on either normal aging or neural degeneration. Shape analysis of magnetic resonance imaging (MRI) provides morphological measures for brain structures. This study further investigates the age effects on hippocampal morphology in three groups (104 normal controls, 24 Alzheimer's disease (AD) and 14 vascular dementia (VaD) patients). By utilizing a parametric shape analysis of hippocampal MRI scans, each individual distance map is generated and analyzed statistically. Specifically, after eliminating similarity parameters (rotation, translation, and scaling) effects for each hippocampus, an individual distance map is generated from parametric hippocampal surfaces and medial axes. Then statistical methods, including regression, and permutation tests, are applied to detect the differences in hippocampal distance maps and volumes under the effect of age in each group. Statistical analyses reveal that the loss of hippocampal volume and changes in shape are more significantly related to aging in the control group than in AD/VaD. The results also show that the asymmetry of hippocampus in healthy subjects is greater than that in either of the disease groups. Our study shows that 3D statistical shape analysis could enhance the understanding of age effects on local areas of hippocampi. However, the sample sizes of disease groups are relatively low; further studies with more AD/VaD data are needed.

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