ArticleNetwork neuroscience (Cambridge, Mass.)2023
Exploring personalized structural connectomics for moderate to severe traumatic brain injury.
Article in Network neuroscience (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- Integrative neuroscience in traumatic brain injury: Multimodal imaging, network models, and precision medicine.NeuroImage. Clinical · 2026Article
- ENIGMA's advanced guide for parcellation error identification (EAGLE-I): An implementation in the context of brain lesions.MethodsX · 2025Article
- Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level.Zeitschrift fur medizinische Physik · 2025Article
- FastSurfer-LIT: Lesion inpainting tool for whole-brain MRI segmentation with tumors, cavities, and abnormalities.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Mild traumatic brain injury increases cortical iron: evidence from individual susceptibility mapping.Brain communications · 2025Article
- Presurgical structural connectivity predicts postsurgical cognitive impairment in glioma patients.Brain communications · 2025Article
- FastSurfer parcellation accuracy after lesion filling in moderate-to-severe traumatic brain injury.Frontiers in neurology · 2025Article
- Neuroinformatics and Analysis of Traumatic Brain Injury and Related Conditions.Neuroinformatics · 2024Article
- Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networks.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- ENIGMA's simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury.NeuroImage. Clinical · 2024Review
- Clinical Theragnostic Signature of Extracellular Vesicles in Traumatic Brain Injury (TBI).ACS chemical neuroscience · 2023Review
- Brain network communication: concepts, models and applications.Nature reviews. Neuroscience · 2023Review
- Resolving inter-regional communication capacity in the human connectome.Network neuroscience (Cambridge, Mass.) · 2023Article
- Structural-functional connectivity bandwidth predicts processing speed in mild traumatic brain Injury: A multiplex network analysis.NeuroImage. Clinical · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
Abstract
Graph theoretical analysis of the structural connectome has been employed successfully to characterize brain network alterations in patients with traumatic brain injury (TBI). However, heterogeneity in neuropathology is a well-known issue in the TBI population, such that group comparisons of patients against controls are confounded by within-group variability. Recently, novel single-subject profiling approaches have been developed to capture inter-patient heterogeneity. We present a personalized connectomics approach that examines structural brain alterations in five chronic patients with moderate to severe TBI who underwent anatomical and diffusion magnetic resonance imaging. We generated individualized profiles of lesion characteristics and network measures (including personalized graph metric GraphMe plots, and nodal and edge-based brain network alterations) and compared them against healthy reference cases (
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.