Sexual Dimorphism in the Corpus Callosum: Methodological Considerations in MRI Morphometry

Bermudez, Patrick; Zatorre, Robert J.

doi:10.1006/nimg.2001.0772

Cited by 76 publications

(66 citation statements)

References 39 publications

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“…Also, childhood and adolescence are characterized by an ongoing increase in overall brain size (De Bellis et al, 2001;Lenroot et al, 2007) and brain maturation (Ostby et al, 2009;Tamnes et al, 2010a). In the adult brain, corpus callosum size is positively related to measures of brain volume (Bermudez and Zatorre, 2001;Jancke et al, 1997) and the growth in corpus callosum might be seen secondary to the overall volumetric brain increase during childhood. However, since earlier studies indicate that childhood growth of the corpus callosum is stronger than it would be expected from growth in brain size (Rauch and Jinkins, 1994), it is predicted that even after considering brain size, an increase in callosal size should be observed during childhood in the present study.…”

Section: Introductionmentioning

confidence: 98%

Selective increase in posterior corpus callosum thickness between the age of 4 and 11 years

et al. 2016

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Section: Introductionmentioning

confidence: 98%

Selective increase in posterior corpus callosum thickness between the age of 4 and 11 years

et al. 2016

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“…However, methodological limitations of these traditional volumetric approaches (cf. Bermudez & Zatorre, 2001;Dubb, Xie, Gur, & Gee, 2005) are likely to have undermined the accuracy and sensitivity of previous studies in identifying the common areas of volume loss in TBI. First, using gross volume or length measures of an anatomical structure fails to capture more localized shape variations within the region, decreasing the sensitivity of the measure.…”

Section: Introductionmentioning

confidence: 99%

Structural consequences of diffuse traumatic brain injury: A large deformation tensor-based morphometry study

et al. 2008

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Traumatic brain injury (TBI) is one of the most common causes of long-term disability. Despite the importance of identifying neuropathology in individuals with chronic TBI, methodological challenges posed at the stage of inter-subject image registration have hampered previous voxel-based MRI studies from providing a clear pattern of structural atrophy after TBI. We used a novel symmetric diffeomorphic image normalization method to conduct a tensor-based morphometry (TBM) study of TBI. The key advantage of this method is that it simultaneously estimates an optimal template brain and topology preserving deformations between this template and individual subject brains. Detailed patterns of atrophies are then revealed by statistically contrasting control and subject deformations to the template space. Participants were 29 survivors of TBI and 20 control subjects who were matched in terms of age, gender, education, and ethnicity. Localized volume losses were found most prominently in white matter regions and the subcortical nuclei including the thalamus, the midbrain, the corpus callosum, the mid-and posterior cingulate cortices, and the caudate. Significant voxel-wise volume loss clusters were also detected in the cerebellum and the frontal/ temporal neocortices. Volume enlargements were identified largely in ventricular regions. A similar pattern of results was observed in a subgroup analysis where we restricted our analysis to the 17 TBI participants who had no macroscopic focal lesions (total lesion volume> 1.5 cm 3 ). The current study confirms, extends, and partly challenges previous structural MRI studies in chronic TBI. By demonstrating that a large deformation image registration technique can be successfully combined with TBM to identify TBI-induced diffuse structural changes with greater precision, our approach is expected to increase the sensitivity of future studies examining brain-behavior relationships in the TBI population.

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“…Subregional Areas Different modalities for subregional splitting of the CC have been proposed [9,13,32] . Following the 'radial splitting' method, 5 CC regions are delimited by 4 equally spaced rays originating from the midpoint of the lower side of the minimum rectangle [9] .…”

Section: Shapementioning

confidence: 99%

Gross Anatomy of the Corpus Callosum in Alzheimer’s Disease: Regions of Degeneration and Their Neuropsychological Correlates

Tomaiuolo

Scapin

Paola

et al. 2006

Dement Geriatr Cogn Disord

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Background/Aims: Differences in the gross shape of the corpus callosum (CC) and its subregional areas were investigated on brain MRI of patients with probable Alzheimer’s disease (AD) and age- and gender-matched healthy normal control subjects. The AD patients differed from the normal control subjects in terms of a more convex shape and a reduced area of the CC. Methods: As for the comparisons of the subregional areas of the CC, we adapted a splitting method which takes into account the modification of the global shape of the CC, and we implemented it by normalizing the CC, to avoid the bias introduced by the observed callosal shape variability. Results: The application of this method unveiled that the regional CC reductions were located in the anterior and posterior third of the CC, i.e. where small myelinated fibers are more frequent. None of the neuropsychological scores collected at the time of the MRI investigation of AD could predict a regional and/or overall callosal area reduction. The only measure that correlated with area of the isthmus of the CC was the MMSE that was administered to all participants. Conclusions: This latter result may be used as an in vivo indicator of the progress of neocortical disintegration in AD.

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Sexual Dimorphism in the Corpus Callosum: Methodological Considerations in MRI Morphometry

Cited by 76 publications

References 39 publications

Selective increase in posterior corpus callosum thickness between the age of 4 and 11 years

Selective increase in posterior corpus callosum thickness between the age of 4 and 11 years

Structural consequences of diffuse traumatic brain injury: A large deformation tensor-based morphometry study

Gross Anatomy of the Corpus Callosum in Alzheimer’s Disease: Regions of Degeneration and Their Neuropsychological Correlates

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