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Related Concept Videos

Traumatic Brain Injury l: Introduction01:28

Traumatic Brain Injury l: Introduction

DefinitionTraumatic brain injury, or TBI, is a disturbance of normal brain function induced by an external mechanical force, such as a direct blow to the head or a penetrating injury. It can affect both brain structure and function, producing a wide range of clinical outcomes. TBI is a heterogeneous condition, meaning its effects may differ based on the type, location, and severity of the injury.Basis of ClassificationTBI is classified based on severity, injury mechanism, or pathophysiology. In...

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Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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Resting State Networks and Their Associations with Cognitive Functions in Traumatic Brain Injury: An Integrative

Madhumathi P C1, Visvanathan Krishnaswamy2, Rajeswaran Rangasami3

  • 1Faculty of Behavioural and Social Sciences, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.

Annals of Neurosciences
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

Resting-state functional connectivity (rs-fMRI) reveals altered brain networks in traumatic brain injury (TBI) patients. These changes correlate with cognitive deficits, offering potential biomarkers for TBI diagnosis and rehabilitation.

Keywords:
Traumatic brain injurycognitive functionsfunctional neuroimagingresting state networks

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Area of Science:

  • Neuroscience
  • Radiology
  • Cognitive Science

Background:

  • Traumatic brain injury (TBI) is a major cause of long-term disability worldwide.
  • Persistent physical, cognitive, and social impairments significantly impact daily life and quality of life.
  • Resting-state functional magnetic resonance imaging (rs-fMRI) is a key neuroimaging technique for studying brain function at rest.

Purpose of the Study:

  • To review and synthesize evidence on resting-state network (RSN) alterations in TBI.
  • To investigate the association between RSN changes and cognitive dysfunction post-TBI.
  • To explore the potential of rs-fMRI as a biomarker for TBI management.

Main Methods:

  • An integrative review of studies indexed in PubMed, ScienceDirect, and Scopus.
  • Analysis of functional connectivity alterations in multiple RSNs in TBI populations.
  • Examination of associations between specific RSN connectivity and cognitive performance.

Main Results:

  • Consistent alterations in functional connectivity were found across multiple RSNs, notably the default mode network (DMN), frontoparietal network (FPN), and salience network.
  • DMN connectivity changes correlated with attention, processing speed, and memory deficits.
  • FPN and sensorimotor network disruptions were linked to executive function and attentional impairments, respectively.
  • Dynamic longitudinal changes suggest neuroplasticity mechanisms.

Conclusions:

  • Resting-state functional connectivity serves as a potential sensitive biomarker for TBI diagnosis, prognosis, and rehabilitation monitoring.
  • A network-oriented approach is crucial for understanding, diagnosing, and treating TBI.
  • Future research should focus on longitudinal RSN changes for neuro-rehabilitation strategies.