ArticleHuman brain mapping2020
Functional outcome is tied to dynamic brain states after mild to moderate traumatic brain injury.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Drivers of resting-state fMRI heterogeneity in traumatic brain injury across injury characteristics and imaging methods: a systematic review and semiquantitative analysis.Frontiers in neurology · 2024Pooled it
- Trajectories of intrinsic connectivity one year post pediatric mild traumatic brain injury: Neural injury superimposed on neurodevelopment.Cortex; a journal devoted to the study of the nervous system and behavior · 2025Article
- Left Basal Ganglia Stroke-induced more Alterations of Functional Connectivity: Evidence from an fMRI StudyCurrent medical imaging · 2025Article
- Tract-Specific White Matter Hyperintensities Disrupt Brain Networks and Associated With Cognitive Impairment in Mild Traumatic Brain Injury.Human brain mapping · 2024Article
- Aberrant dynamic functional network connectivity in patients with diffuse axonal injury.Scientific reports · 2024Article
- Article
- Static and dynamic brain functional connectivity patterns in patients with unilateral moderate-to-severe asymptomatic carotid stenosis.Frontiers in aging neuroscience · 2024Article
- ENIGMA's simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury.NeuroImage. Clinical · 2024Review
- Robust dynamic brain coactivation states estimated in individuals.Science advances · 2023Article
- Dynamic phase-locking states and personality in sub-acute mild traumatic brain injury: An exploratory study.PloS one · 2023Article
- Identification of suicidality in patients with major depressive disorder via dynamic functional network connectivity signatures and machine learning.Translational psychiatry · 2022Article
- Identification of minimal hepatic encephalopathy based on dynamic functional connectivity.Brain imaging and behavior · 2021Article
- Tools of the trade: estimating time-varying connectivity patterns from fMRI data.Social cognitive and affective neuroscience · 2021Review
- Data-driven approaches to neuroimaging biomarkers for neurological and psychiatric disorders: emerging approaches and examples.Current opinion in neurology · 2021Review
- Regression dynamic causal modeling for resting-state fMRI.Human brain mapping · 2021Article
- White matter microstructure of the neural emotion regulation circuitry in mild traumatic brain injury.The European journal of neuroscience · 2021Article
- Post-traumatic Headache and Mild Traumatic Brain Injury: Brain Networks and Connectivity.Current pain and headache reports · 2021Review
- Dynamic connectivity predicts acute motor impairment and recovery post-stroke.Brain communications · 2021Article
- Determining the number of states in dynamic functional connectivity using cluster validity indexes.Journal of neuroscience methods · 2020Article
- Acute ischaemic stroke alters the brain's preference for distinct dynamic connectivity states.Brain : a journal of neurology · 2020Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current study set out to investigate the dynamic functional connectome in relation to long-term recovery after mild to moderate traumatic brain injury (TBI). Longitudinal resting-state functional MRI data were collected (at 1 and 3 months postinjury) from a prospectively enrolled cohort consisting of 68 patients with TBI (92% mild TBI) and 20 healthy subjects. Patients underwent a neuropsychological assessment at 3 months postinjury. Outcome was measured using the Glasgow Outcome Scale Extended (GOS-E) at 6 months postinjury. The 57 patients who completed the GOS-E were classified as recovered completely (GOS-E = 8; n = 37) or incompletely (GOS-E < 8; n = 20). Neuropsychological test scores were similar for all groups. Patients with incomplete recovery spent less time in a segregated brain state compared to recovered patients during the second visit. Also, these patients moved less frequently from one meta-state to another as compared to healthy controls and recovered patients. Furthermore, incomplete recovery was associated with disruptions in cyclic state transition patterns, called attractors, during both visits. This study demonstrates that poor long-term functional recovery is associated with alterations in dynamics between brain networks, which becomes more marked as a function of time. These results could be related to psychological processes rather than injury-effects, which is an interesting area for further work. Another natural progression of the current study is to examine whether these dynamic measures can be used to monitor treatment effects.
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