ArticleMethodsX2020
Optimizing the accuracy of cortical volumetric analysis in traumatic brain injury.
Article in MethodsX, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 30 citations in OpenAlex.
- Volume-based bias in automated measurements of lateral ventricle and hippocampal volumes of mild traumatic brain injury patients.Neuroimage. Reports · 2026Article
- Contusions bias cortical thickness estimates after traumatic brain injury: A TRACK-TBI study.NeuroImage. Clinical · 2026Article
- Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level.Zeitschrift fur medizinische Physik · 2025Article
- Distinct clinical phenotypes and their neuroanatomic correlates in chronic traumatic brain injury.medRxiv : the preprint server for health sciences · 2025Article
- Distinct clinical phenotypes and their neuroanatomic correlates in chronic traumatic brain injury.Brain communications · 2025Article
- Unsupervised semi-automated MRI segmentation detects cortical lesion expansion in chronic traumatic brain injury.Frontiers in neurology · 2025Article
- FastSurfer parcellation accuracy after lesion filling in moderate-to-severe traumatic brain injury.Frontiers in neurology · 2025Article
- Cortical lesions and focal white matter injury are associated with attentional performance in chronic traumatic brain injury.Brain communications · 2025Article
- ENIGMA's simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury.NeuroImage. Clinical · 2024Review
- Study protocol: Cerebral autoregulation, brain perfusion, and neurocognitive outcomes after traumatic brain injury -CAPCOG-TBI.Frontiers in neurology · 2024Article
- Spatiotemporal profile of atrophy in the first year following moderate-severe traumatic brain injury.Human brain mapping · 2023Article
- Alzheimer's Disease-Related Dementias Summit 2022: National Research Priorities for the Investigation of Post-Traumatic Brain Injury Alzheimer's Disease and Related Dementias.Journal of neurotrauma · 2023Article
- Differential age-associated brain atrophy and white matter changes among homeless and precariously housed individuals compared with the general population.BMJ neurology open · 2023Article
- Manual lesion segmentations for traumatic brain injury characterization.Frontiers in neuroimaging · 2023Article
- Traumatic brain injury: progress and challenges in prevention, clinical care, and research.The Lancet. Neurology · 2022Review
- Fast cortical surface reconstruction from MRI using deep learning.Brain informatics · 2022Article
- Convolutional Neural Networks Enable Robust Automatic Segmentation of the Rat Hippocampus in MRI After Traumatic Brain Injury.Frontiers in neurology · 2022Article
- Correcting cardiorespiratory noise in resting-state functional MRI data acquired in critically ill patients.Brain communications · 2022Article
- Phenotyping the Spectrum of Traumatic Brain Injury: A Review and Pathway to Standardization.Journal of neurotrauma · 2021Review
- Therapies to Restore Consciousness in Patients with Severe Brain Injuries: A Gap Analysis and Future Directions.Neurocritical care · 2021Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
Cortical volumetric analysis is widely used to study the anatomic basis of neurological deficits in patients with traumatic brain injury (TBI). However, patients with TBI-related lesions are often excluded from MRI analyses because cortical lesions may compromise the accuracy of reconstructed surfaces upon which volumetric measurements are based. We developed a FreeSurfer-based lesion correction method and tested its impact on cortical volume measures in 87 patients with chronic moderate-to-severe TBI. We reconstructed cortical surfaces from T1-weighted MRI scans, then manually labeled and removed vertices on the cortical surfaces where lesions caused inaccuracies. Next, we measured the surface area of lesion overlap with seven canonical brain networks and the percent volume of each network affected by lesions.•The lesion correction method revealed that cortical lesions in patients with TBI are preferentially located in the limbic and default mode networks (95.7% each), with the limbic network also having the largest average surface area (4.4+/-3.7%) and percent volume affected by lesions (12.7+/-9.7%).•The method has the potential to improve the accuracy of cortical volumetric measurements and permit inclusion of patients with lesioned brains in MRI analyses.•The method also provides new opportunities to elucidate network-based mechanisms of neurological deficits in patients with TBI.
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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.