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Functional Connectivity, Tissue Microstructure, and T2 at 11.1 Tesla Distinguishes Neuroadaptive Differences in Two

Rohan S Kommireddy1, Shray Mehra1, Marjory Pompilus1

  • 1Department of Psychiatry, University of Florida, Gainesville, Florida USA.

Neurotrauma Reports
|October 24, 2025
PubMed
Summary

Multimodal MRI reveals distinct neuroimaging biomarkers for traumatic brain injury (TBI) rat models. Functional connectivity and microstructural changes differ between controlled cortical impact and lateral fluid percussive injury, aiding mechanism characterization.

Keywords:
controlled cortical impactfunctional connectivitylateral fluid percussive injuryneuroimagingrelaxometrytissue microstructuretraumatic brain injury

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Radiology

Background:

  • Traumatic brain injuries (TBIs) disrupt neuronal communication and chemical environments, impacting networks beyond the initial injury site.
  • Contusive TBIs, including controlled cortical impact (CCI) and lateral fluid percussive injury (LFPI), present unique challenges in understanding injury mechanisms.

Purpose of the Study:

  • To employ a multimodal neuroimaging biomarker approach to assess functional connectivity and brain tissue microstructure in experimental rat models of TBI.
  • To characterize distinct injury mechanisms in CCI and LFPI models using advanced MRI techniques.

Main Methods:

  • Utilized an 11.1 Tesla MRI scanner to acquire functional magnetic resonance imaging (fMRI), diffusion-weighted imaging (DWI), and multi-echo T2 imaging in rat models of TBI and naïve controls.
  • Analyzed fMRI data for functional connectivity in cortical, hippocampal, and striatal regions.
  • Generated fractional anisotropy (FA) and diffusivity maps from DWI data, focusing on cortical and white matter (WM) regions.

Main Results:

  • Both CCI and LFPI models showed increased contralateral intracortical connectivity at 2 days post-injury, persisting to day 30 in CCI but not LFPI.
  • Observed alterations in WM and cortical FA and diffusivities in both models.
  • WM alterations were more prominent in CCI, while cortical changes were more pronounced in LFPI.

Conclusions:

  • Multimodal MRI is effective in differentiating injury mechanisms between contusive and skull-penetrating TBI models.
  • Neuroimaging biomarkers can reveal distinct patterns of functional and microstructural changes following different TBI types.
  • Findings contribute to a deeper understanding of TBI pathophysiology and potential therapeutic targets.