ArticleFrontiers in neuroinformatics2012
Automated measurement of the human corpus callosum using MRI.
Article in Frontiers in neuroinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01022307 (Quantitative Automated Lesion Detection of TBI), which is not on this map. Cited by 24 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Quantitative Automated Lesion Detection of TBI
Who cites it
24 citing papers in PubMed, 59 citations in OpenAlex.
- The use of routinely collected structural neuroimaging to identify cognitive impairment in multiple sclerosis.BMC neurology · 2026Article
- Morphometric Analysis of Corpus Callosum in Individuals with Alzheimer's Disease: Magnetic Resonance Imaging (MRI) Study.Current Alzheimer research · 2024Article
- Distributed genetic effects of the corpus callosum subregions suggest links to neuropsychiatric disorders and related traits.Acta neuropsychiatrica · 2023Article
- Development of the corpus callosum and cognition after neonatal encephalopathy.Annals of clinical and translational neurology · 2023Article
- Spectral-based thickness profiling of the corpus callosum enhances anomaly detection in fetal alcohol spectrum disorders.Frontiers in neuroscience · 2023Article
- A Volumetric Study of the Corpus Callosum in the Turkish Population.Journal of neurological surgery. Part B, Skull base · 2022Article
- White matter is increased in the brains of adults with neurofibromatosis 1.Orphanet journal of rare diseases · 2022Article
- Altered White Matter Integrity in Patients with Retinal Vein Occlusion: A Diffusion Tensor Imaging and Tract-Based Spatial Statistics Study.Disease markers · 2022Article
- Severity of Subjective Cognitive Complaints and Worries in Older Adults Are Associated With Cerebral Amyloid-β Load.Frontiers in aging neuroscience · 2021Article
- Cognitive dysfunction and brain atrophy in Susac syndrome.Journal of neurology · 2020Observational
- Automatic, Age Consistent Reconstruction of the Corpus Callosum Guided by Coherency From In Utero Diffusion-Weighted MRI.IEEE transactions on medical imaging · 2020Article
- A New Statistical Framework for Corpus Callosum Sub-Region Characterization Based on LBP Texture in Patients With Parkinsonian Disorders: A Pilot Study.Frontiers in neuroscience · 2020Article
- Anterior to Midposterior Corpus Callosum Subregions Are Volumetrically Reduced in Male Alcoholics but Only the Anterior Segment Is Associated to Alcohol Use.Frontiers in psychiatry · 2019Article
- Segmentation and texture analysis of structural biomarkers using neighborhood-clustering-based level set in MRI of the schizophrenic brain.Magma (New York, N.Y.) · 2018Article
- Sub-lobar dysplasia - A comprehensive evaluation with neuroimaging, magnetoencephalography and histopathology.Epilepsy & behavior case reports · 2018Article
- Reaction Time Is Negatively Associated with Corpus Callosum Area in the Early Stages of CADASIL.AJNR. American journal of neuroradiology · 2017Article
- Resection of tumors of the third ventricle involving the hypothalamus: effects on body mass index using a dedicated surgical approach.Endocrine · 2017Article
- Altered microstructure rather than morphology in the corpus callosum after lower limb amputation.Scientific reports · 2017Article
- Larger corpus callosum and reduced orbitofrontal cortex homotopic connectivity in codeine cough syrup-dependent male adolescents and young adults.European radiology · 2017Article
- Fourier transform power spectrum is a potential measure of tissue alignment in standard MRI: A multiple sclerosis study.PloS one · 2017Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
The corpus callosum includes the majority of fibers that connect the two cortical hemispheres. Studies of cross-sectional callosal morphometry and area have revealed developmental, gender, and hemispheric differences in healthy populations and callosal deficits associated with neurodegenerative disease and brain injury. However, accurate quantification of the callosum using magnetic resonance imaging is complicated by intersubject variability in callosal size, shape, and location and often requires manual outlining of the callosum in order to achieve adequate performance. Here we describe an objective, fully automated protocol that utilizes voxel-based images to quantify the area and thickness both of the entire callosum and of different callosal compartments. We verify the method's accuracy, reliability, robustness, and multisite consistency and make comparisons with manual measurements using public brain-image databases. An analysis of age-related changes in the callosum showed increases in length and reductions in thickness and area with age. A comparison of older subjects with and without mild dementia revealed that reductions in anterior callosal area independently predicted poorer cognitive performance after factoring out Mini-Mental Status Examination scores and normalized whole brain volume. Open-source software implementing the algorithm is available at www.nitrc.org/projects/c8c8.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.