Evidence map›Paper›PMID 39089604›Full record

ArticleNeuroImage2024

Age dictates brain functional connectivity and axonal integrity following repetitive mild traumatic brain injuries in mice.

Marangelie Criado-Marrero, Sakthivel Ravi, Ekta Bhaskar, Daylin Barroso, Michael A Pizzi, Lakiesha Williams, Cheryl L Wellington, Marcelo Febo, Jose Francisco Abisambra

Abstract read
In one paragraph

Article in NeuroImage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Long-term potentiation and long-term depression are both impaired afterBiomedical physics & engineering express · 2025
    Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Marangelie Criado-MarreroCenter for Translational Research in Neurodegenerative Disease (CTRND), University of Florida, Gainesville, FL 32610, USA; Department of Neuroscience, University of Florida, Gainesville, FL 32610, USA; McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.
Sakthivel RaviCenter for Translational Research in Neurodegenerative Disease (CTRND), University of Florida, Gainesville, FL 32610, USA; Department of Neuroscience, University of Florida, Gainesville, FL 32610, USA; McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.
Ekta BhaskarDepartment of Neuroscience, University of Florida, Gainesville, FL 32610, USA; Department of Computer of Information Science and Engineering (CISE), University of Florida, Gainesville, FL 32610, USA.
Daylin BarrosoCenter for Translational Research in Neurodegenerative Disease (CTRND), University of Florida, Gainesville, FL 32610, USA; Department of Neuroscience, University of Florida, Gainesville, FL 32610, USA; McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA.
Michael A PizziDepartment of Neuroscience, University of Florida, Gainesville, FL 32610, USA; McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA; Brain Injury Rehabilitation and Neuroresilience (BRAIN) Center University of Florida, Gainesville, FL 32610, USA; Department of Neurology, University of Florida, Gainesville, FL 32610, USA.
Lakiesha WilliamsJ. Crayton Pruitt Family Department of Biomedical Engineering, Gainesville, FL 32610, USA.
Cheryl L WellingtonDepartment of Pathology and Laboratory Medicine, Djavad Mowafaghian Center for Brain Health, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada.
Marcelo FeboMcKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA; Department of Psychiatry, University of Florida, Gainesville, FL 32610, USA; Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL 32610, USA.
Jose Francisco AbisambraCenter for Translational Research in Neurodegenerative Disease (CTRND), University of Florida, Gainesville, FL 32610, USA; Department of Neuroscience, University of Florida, Gainesville, FL 32610, USA; McKnight Brain Institute, University of Florida, Gainesville, FL 32610, USA; Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL 32610, USA; Brain Injury Rehabilitation and Neuroresilience (BRAIN) Center University of Florida, Gainesville, FL 32610, USA. Electronic address: j.abisambra@ufl.edu.

Funding

The molecular intersection of tau, TBI, and PERKR01AG074584 · NIA · UNIVERSITY OF FLORIDA · PI ABISAMBRA, JOSE FRANCISCO · 2021 to 2025
$1.9M
Upgrade of an 11T/40cm MRI/S SystemS10RR025671 · NCRR · UNIVERSITY OF FLORIDA · PI EDISON, ARTHUR S · 2009 to 2009
$500k
National Science Foundation DMR-1644779NCRR NIH HHS S10 RR025671NIA NIH HHS R01 AG074584NIMHD NIH HHS L32 MD009205NIMHD NIH HHS L32 MD017924
6 · The paper itself

Abstract

Traumatic brain injuries (TBI) present a major public health challenge, demanding an in-depth understanding of age-specific symptoms and risk factors. Aging not only significantly influences brain function and plasticity but also elevates the risk of hospitalizations and death following TBIs. Repetitive mild TBIs (rmTBI) compound these issues, resulting in cumulative and long-term brain damage in the brain. In this study, we investigate the impact of age on brain network changes and white matter properties following rmTBI by employing a multi-modal approach that integrates resting-state functional magnetic resonance imaging (rsfMRI), graph theory analysis, diffusion tensor imaging (DTI), and neurite orientation dispersion and density imaging (NODDI). Our hypothesis is that the effects of rmTBI are worsened in aged animals, with this group showing more pronounced alterations in brain connectivity and white matter structure. Utilizing the closed-head impact model of engineered rotational acceleration (CHIMERA) model, we conducted rmTBIs or sham (control) procedures on young (2.5-3-months-old) and aged (22-months-old) male and female mice to model high-risk groups. Functional and structural imaging unveiled age-related reductions in communication efficiency between brain regions, while injuries induced opposhigh-risking effects on the small-world index across age groups, influencing network segregation. Functional connectivity analysis also identified alterations in 79 out of 148 brain regions by age, treatment (sham vs. rmTBI), or their interaction. Injuries exerted pronounced effects on sensory integration areas, including insular and motor cortices. Age-related disruptions in white matter integrity were observed, indicating alterations in various diffusion directions (mean diffusivity, radial diffusivity, axial diffusivity, and fractional anisotropy) and density neurite properties (dispersion index, intracellular and isotropic volume fraction). Neuroinflammation, assessed through Iba-1 and GFAP markers, correlated with higher dispersion in the optic tract, suggesting a neuroinflammatory response in injured aged animals compared to sham aged. These findings offer insight into the interplay between age, injuries, and brain connectivity, shedding light on the long-term consequences of rmTBI.

Indexed as

Brain ConcussionDiffusion Tensor ImagingMagnetic Resonance ImagingAge FactorsAgingAnimalsAxonsBrainConnectomeFemaleMaleMiceMice, Inbred C57BLNerve NetWhite MatterAgingCHIMERADiffusion tensor imagingMicrogliaRepetitive mild TBIResting state functional MRI

Identifiers

PMID39089604
PMCPMC12083070

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.