Concussion, Attention, and Mental Health: A Brain Network Study in Youth (CAMBY) - Study Protocol
Scratch, S.; Gill, P. K.; Hickling, A.; Irvin, A.; Zamyadi, R.; Parimoo, S.; Johnston, P. R.; Davis, A. L.; Ibrahim, G. M.; Dunkley, B. T.; Wheeler, A. L.
Show abstract
BACKGROUND: One in three adolescents with a concussion history report experiencing long-lasting somatic, sleep, emotional, and/or cognitive disturbances (persisting symptoms after concussion (PSaC)). Cognitive difficulties, such as attentional problems, are common symptoms and can interfere with ongoing development. Clinically, psychiatric symptoms also present in youth with PSaC. A concussion causes diffuse functional and microstructural alterations to neural networks. To develop targeted treatments for PSaC (e.g., neurostimulation), we need to understand how and where structural alterations and neural dysfunction intersect to cause long-lasting symptoms. OBJECTIVES: 1) Identify functional and microstructural properties in intrinsic connectivity networks, as well as neuropsychological outcomes, that differentiate adolescents with concussion with PSaC from those who do not have PSaC. 2) Determine whether neural activity within intrinsic connectivity networks mediates the relationship between network microstructure and specific neuropsychological features in adolescents with concussion. METHODS: CAMBY is a prospective study of adolescents aged 12 to 18 years with a history of concussion. Participants are allocated based on recovery status (PSaC vs. No-PSaC (recovered controls)). Advanced structural (magnetic resonance imaging; MRI) and functional (magnetoencephalography; MEG) neuroimaging and neuropsychological measures will be collected one month or more after concussion. Microstructural and functional features will be computed within intrinsic connectivity networks, then compared between PSaC and recovered control groups and related to symptom domains and neuropsychological profiles. IMPACT: This will be the first study to integrate MRI, MEG, and neuropsychology in adolescents with PSaC to identify disrupted networks underlying PSaC. This observational study is a necessary step towards future clinical trials that accurately target promising therapeutic neurostimulation protocols.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Regionally specific resting-state beta neural power predicts brain injury and symptom recovery in adolescents with concussion: a longitudinal study 95%
- Characterization of cognitive-motor function in women who have experienced intimate partner violence-related brain injury 91%
- Subconcussive preconditioning prevents microglial morphology changes and improves cognitive outcomes in mice 91%
Similar papers in this journal
- The structural, functional, and neurophysiological connectome of mild traumatic brain injury: a DTI, fMRI and MEG multimodal clustering and data fusion study 92%
- Neuroimaging correlates of symptom burden and functional recovery following mild traumatic brain injury: A systematic review 92%
- Reactive/proactive aggression specific cortical and subcortical alterations in children and adolescents with disruptive behavior 90%
Similar papers in this journal
- Altered Lateralization of the Cingulum in Deployment-Related Traumatic Brain Injury: An ENIGMA Military-Relevant Brain Injury Study 91%
- Functional rerouting via the structural connectome is associated with better recovery after mild TBI 90%
- Longitudinal multimodal neuroimaging after traumatic brain injury 90%
Similar papers in this journal
Similar papers in this journal
- Atypical somatic symptoms in adults with prolonged recovery from mild traumatic brain injury 91%
- Improved Injury Detection Through Harmonizing Multi-Site Neuroimaging Data after Experimental TBI: A Translational Outcomes Project in NeuroTrauma (TOP-NT) Consortium Study 91%
- Longitudinal Assessment of Glymphatic Changes Following Mild Traumatic Brain Injury: Insights from PVS burden and DTI-ALPS Imaging 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.