Voxel-Based Morphometry—The Methods

Ashburner, John; Friston, Karl J.

doi:10.1006/nimg.2000.0582

Cited by 7,825 publications

(6,038 citation statements)

References 37 publications

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“…Structural data were analyzed with FSL‐VBM, an optimized voxel‐based morphometry style analysis 32 carried out with FSL tools 33, which allows to detect potential differences in the local gray matter volume between different groups of subjects. In a first step, structural images were brain‐extracted using BET 34.…”

Section: Methodsmentioning

confidence: 99%

Brain structural changes in schizoaffective disorder compared to schizophrenia and bipolar disorder

Amann

Canales‐Rodríguez

Madre

et al. 2015

Acta Psychiatr Scand

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ObjectiveBrain structural changes in schizoaffective disorder, and how far they resemble those seen in schizophrenia and bipolar disorder, have only been studied to a limited extent.MethodForty‐five patients meeting DSM‐IV and RDC criteria for schizoaffective disorder, groups of patients with 45 matched schizophrenia and bipolar disorder, and 45 matched healthy controls were examined using voxel‐based morphometry (VBM).ResultsAnalyses comparing each patient group with the healthy control subjects found that the patients with schizoaffective disorder and the patients with schizophrenia showed widespread and overlapping areas of significant volume reduction, but the patients with bipolar disorder did not. A subsequent analysis compared the combined group of patients with the controls followed by extraction of clusters. In regions where the patients differed significantly from the controls, no significant differences in mean volume between patients with schizoaffective disorder and patients with schizophrenia in any of five regions of volume reduction were found, but mean volumes in the patients with bipolar disorder were significantly smaller in three of five.ConclusionThe findings provide evidence that, in terms of structural gray matter brain abnormality, schizoaffective disorder resembles schizophrenia more than bipolar disorder.

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Section: Methodsmentioning

confidence: 99%

Brain structural changes in schizoaffective disorder compared to schizophrenia and bipolar disorder

Amann

Canales‐Rodríguez

Madre

et al. 2015

Acta Psychiatr Scand

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“…40 A proportional-analysis threshold included only voxels with 40% or more of the grand mean value. Implicit masking was used to ignore zeros, and global calculation was based on the mean voxel value.…”

Section: Methodsmentioning

confidence: 99%

Social Cognition, Executive Functioning, and Neuroimaging Correlates of Empathic Deficits in Frontotemporal Dementia

Eslinger

Moore

Anderson

et al. 2011

Journal of Neuropsychiatry

163

137

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The authors investigated aspects of interpersonal sensitivity and perspective-taking in relation to empathy, social cognitions, and executive functioning in 26 frontotemporal dementia (FTD) patients. Behavioral-variant FTD (bvFTD) patients were significantly impaired on caregiver assessments of empathy, although self-ratings were normal. Progressive nonfluent aphasia and semantic-dementia samples were rarely abnormal. In bvFTD, empathy ratings were found to be correlated with social cognition and executive functioning measures, but not depression. Voxel-based morphometry revealed that reduced empathic perspective-taking was related to bifrontal and left anterior temporal atrophy, whereas empathic emotions were related to right medial frontal atrophy. Findings suggest that bvFTD causes multiple types of breakdown in empathy, social cognition, and executive resources, mediated by frontal and temporal disease.

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“…Structural magnetic resonance imaging (MRI) can provide high‐resolution measurements of gray and white matter anatomy that are often the focus of within‐ and between‐participant comparisons of aging [see Dickerson et al, 2009; Fjell et al, 2009; Fotenos et al, 2005], development [e.g., Tamnes et al, 2010], clinical disorders [e.g., Cannon et al, 2015; Dickerson et al, 2009; Kempton et al, 2011], and therapeutic intervention [e.g., Bearden et al, 2008; Dazzan et al, 2005]. In practice, structural MRI scans are readily analyzed with convenient, automated image segmentation tools that derive measurements from an individual's regional neuroanatomy (e.g., thickness, surface area, volume), often implemented with freely available software packages [e.g., FreeSurfer [FS], VBM8, FSL‐VBM; Ashburner and Friston, 2000; Dale et al, 1999; Fischl et al, 1999a; Smith et al, 2004] that have been externally validated with manual tracing and post‐mortem analyses [Cardinale et al, 2014; Kennedy et al, 2009; Kuperberg et al, 2003; Rosas et al, 2002; Salat et al, 2004; Sanchez‐Benavides et al, 2010]. …”

Section: Introductionmentioning

confidence: 99%

Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion

Savalia

Agres

Chan

et al. 2016

Human Brain Mapping

174

189

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Motion‐contaminated T1‐weighted (T1w) magnetic resonance imaging (MRI) results in misestimates of brain structure. Because conventional T1w scans are not collected with direct measures of head motion, a practical alternative is needed to identify potential motion‐induced bias in measures of brain anatomy. Head movements during functional MRI (fMRI) scanning of 266 healthy adults (20–89 years) were analyzed to reveal stable features of in‐scanner head motion. The magnitude of head motion increased with age and exhibited within‐participant stability across different fMRI scans. fMRI head motion was then related to measurements of both quality control (QC) and brain anatomy derived from a T1w structural image from the same scan session. A procedure was adopted to “flag” individuals exhibiting excessive head movement during fMRI or poor T1w quality rating. The flagging procedure reliably reduced the influence of head motion on estimates of gray matter thickness across the cortical surface. Moreover, T1w images from flagged participants exhibited reduced estimates of gray matter thickness and volume in comparison to age‐ and gender‐matched samples, resulting in inflated effect sizes in the relationships between regional anatomical measures and age. Gray matter thickness differences were noted in numerous regions previously reported to undergo prominent atrophy with age. Recommendations are provided for mitigating this potential confound, and highlight how the procedure may lead to more accurate measurement and comparison of anatomical features. Hum Brain Mapp 38:472–492, 2017. © 2016 Wiley Periodicals, Inc.

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Voxel-Based Morphometry—The Methods

Cited by 7,825 publications

References 37 publications

Brain structural changes in schizoaffective disorder compared to schizophrenia and bipolar disorder

Brain structural changes in schizoaffective disorder compared to schizophrenia and bipolar disorder

Social Cognition, Executive Functioning, and Neuroimaging Correlates of Empathic Deficits in Frontotemporal Dementia

Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion

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