Cerebral cortex: a topographic segmentation method using magnetic resonance imaging

Crespo‐Facorro, Benedicto; Kim, Jae Jin; Andreasen, Nancy C.; Spinks, Ruth; O'Leary, Daniel S.; Bockholt, H. Jeremy; Harris, Georgina; Magnotta, Vincent A.

doi:10.1016/s0925-4927(00)00072-x

Cited by 68 publications

(50 citation statements)

References 54 publications

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“…The current lack of further lobar subdivisions of the frontal, parietal, and occipital lobes is a limitation, particularly where anatomical subdivisions correlate with functional specialization. Work to extend the concept presented here to the other principle lobes can build on more detailed anatomical subdivisions presented in earlier reports by other groups [e.g., Chiavaras et al, 2001;Crespo-Facorro et al, 2000;Kennedy et al, 1998;Tomaioulo et al, 1999].…”

Section: Algorithm and Anatomical Subdivisionmentioning

confidence: 95%

Three‐dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe

Hammers

Allom

Koepp

et al. 2003

Human Brain Mapping

1,091

918

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Probabilistic atlases of neuroanatomy are more representative of population anatomy than single brain atlases. They allow anatomical labeling of the results of group studies in stereotaxic space, automated anatomical labeling of individual brain imaging datasets, and the statistical assessment of normal ranges for structure volumes and extents. No such manually constructed atlas is currently available for the frequently studied group of young adults. We studied 20 normal subjects (10 women, median age 31 years) with high-resolution magnetic resonance imaging (MRI) scanning. Images were nonuniformity corrected and reoriented along both the anterior-posterior commissure (AC-PC) line horizontally and the midsagittal plane sagittally. Building on our previous work, we have expanded and refined existing algorithms for the subdivision of MRI datasets into anatomical structures. The resulting algorithm is presented in the Appendix. Forty-nine structures were interactively defined as three-dimensional volumes-of-interest (VOIs). The resulting 20 individual atlases were spatially transformed (normalized) into standard stereotaxic space, using SPM99 software and the MNI/ICBM 152 template. We evaluated volume data for all structures both in native space and after spatial normalization, and used the normalized superimposed atlases to create a maximum probability map in stereotaxic space, which retains quantitative information regarding inter-subject variability. Its potential applications range from the automatic labeling of new scans to the detection of anatomical abnormalities in patients. Further data can be extracted from the atlas for the detailed analysis of individual structures.

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Section: Algorithm and Anatomical Subdivisionmentioning

confidence: 95%

Three‐dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe

Hammers

Allom

Koepp

et al. 2003

Human Brain Mapping

1,091

918

View full text Add to dashboard Cite

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“…In the TEMP and HIPP, we focused on the reduction of size in the whole region-that is, the total volume (gray and white matter). We analyzed the following structures: Established protocols were used for parcellation of the cortical regions as follows: prefrontal cortex and insula, 9 TEMP, 10 EC, 11 HIPP, 12 and anterior cingulate gyrus. 13 For the posterior border of the DACC, however, we followed Fornito et al 14 and stopped tracing 1 section after the disappearance of the anterior commissure, moving from anterior to posterior on coronal sections.…”

Section: Regions Of Interestmentioning

confidence: 99%

Cortical Morphometric Subclassification of Frontotemporal Lobar Degeneration

Lindberg¹,

Östberg²,

Zandbelt³

et al. 2009

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:Frontotemporal lobar degeneration (FTLD) is a primary neurodegenerative disease comprising 3 clinical subtypes: frontotemporal dementia (FTD), semantic dementia (SD), and progressive nonfluent aphasia (PNFA). The subdivision is primarily based on the characteristic clinical symptoms displayed by each subtype. We hypothesized that these symptoms would be correlated to characteristic patterns of brain atrophy, which could be indentified and used for subclassification of subjects with FTLD.

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“…A detailed description of the anatomical boundaries and the method used to define these subregions is presented elsewhere [23,24]. A visual representation of this region is displayed in figure 1.…”

Section: Structural Imagingmentioning

confidence: 99%

Social function in boys with cleft lip and palate: Relationship to ventral frontal cortex morphology

Boes

Murko

Wood

et al. 2007

Behavioural Brain Research

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Isolated clefts of the lip and/or palate (ICLP) are developmental craniofacial abnormalities that have consistently been linked to increased social inhibition or shyness. Two explanations have been proposed: 1) psychosocial factors related to differences in facial appearance may lead to low selfconcept and subsequent shyness, or 2) abnormal development of brain structures involved in social function, such as the ventral frontal cortex (VFC), may underlie the difference. To investigate these two possibilities this study was designed to evaluate measures of social function in relation to measures of self-concept and VFC morphology. Subjects included 30 boys (age 7-12) with ICLP and a comparison group of 43 boys without cleft in the same age category. Social function and selfconcept were assessed using questionnaires with standardized scoring filled out by subjects and one of their parents. The cortical volume and surface area of the VFC, composed of the orbitofrontal cortex (OFC) and straight gyrus (SG), were evaluated using structural magnetic resonance imaging. The ICLP subjects had significantly impaired social function relative to the comparison group. No difference in self-concept was identified. VFC morphology revealed significant differences between groups, particularly decreased volume and surface area in the left SG of the ICLP group. Moreover, abnormal VFC measures were correlated with social dysfunction but measures of self-concept were

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Cerebral cortex: a topographic segmentation method using magnetic resonance imaging

Cited by 68 publications

References 54 publications

Three‐dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe

Three‐dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe

Cortical Morphometric Subclassification of Frontotemporal Lobar Degeneration

Social function in boys with cleft lip and palate: Relationship to ventral frontal cortex morphology

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