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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
Functional Connectivity Changes in Traumatic Brain Injury: A Systematic Review and Coordinate-Based Meta-Analysis of
Sandra Leskinen1, Neel H Mehta2, Harshal A Shah3
1College of Medicine, SUNY Downstate Medical Center, Brooklyn, NY.
Traumatic brain injury (TBI) alters brain functional connectivity (FC) across networks, with patterns varying by injury severity. Larger, standardized datasets are needed to confirm these findings and improve TBI prognostics.
Area of Science:
- Neuroscience
- Radiology
- Neurology
Background:
- Traumatic brain injury (TBI) causes widespread functional connectivity (FC) disruptions.
- Current classification systems inadequately address network-level dysfunction post-TBI.
- Understanding severity-dependent FC changes is crucial for prognosis and rehabilitation.
Purpose of the Study:
- To systematically evaluate functional connectivity (FC) alterations after mild, moderate-severe, and severe TBI.
- To map FC changes using coordinate-based meta-analysis and network analysis.
- To investigate how FC alterations vary by TBI severity.
Main Methods:
- Systematic literature search of fMRI studies on TBI functional connectivity.
- Stratification of studies by TBI severity and time since injury.
- Coordinate-based meta-analysis using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) and network atlas mapping.
Main Results:
- Seventy-six studies with 5,064 participants were included.
- Mild TBI (mTBI) showed alterations in default mode, ventral attention, and somatomotor networks.
- Moderate-severe/severe TBI implicated frontoparietal, ventral attention, and dorsal attention networks.
- No corrected statistical significance was achieved, despite consistent patterns.
Conclusions:
- Functional connectivity (FC) changes in TBI involve large-scale networks, varying by severity and time post-injury.
- Meta-analysis identified potential network patterns but lacked corrected statistical significance.
- Future research requires larger, harmonized datasets and standardized analysis for robust findings.
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