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Related Concept Videos

Brain Imaging01:14

Brain Imaging

899
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
899

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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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Structural and functional connectivity in traumatic brain injury.

Hui Xiao1, Yang Yang2, Ji-Hui Xi3

  • 1Center of Medical Imaging, Fuzhou General Hospital of Nanjing Military Command, Fuzhou, Fujian Province, China; Department of Medical Imaging, Dongfang Hospital, Xiamen University, Fuzhou, Fujian Province, China.

Neural Regeneration Research
|February 19, 2016
PubMed
Summary

Traumatic brain injury (TBI) can cause cognitive and neuropsychiatric issues. Neuroimaging reveals brain network changes in TBI survivors, aiding in biomarker development for prognosis.

Keywords:
brain traumacognitionconnectivityconnectomedefault mode networkdiffusion tensor imagingnerve regenerationneural regenerationresting-state fMRItraumatic brain injury

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Neurology

Background:

  • Traumatic brain injury (TBI) survivors frequently exhibit cognitive deficits and neuropsychiatric symptoms.
  • The precise neurobiological mechanisms behind these impairments remain incompletely understood.
  • Brain connectomics offers a framework to investigate these complex neurological alterations.

Purpose of the Study:

  • To review recent advancements in understanding brain network abnormalities following TBI.
  • To highlight the application of neuroimaging techniques in assessing structural and functional connectivity.
  • To explore the potential of connectomic studies in identifying biomarkers for TBI sequelae.

Main Methods:

  • Utilizing diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) to map brain connectivity.
  • Analyzing regional and global properties of neuronal networks to detect microstructural changes.
  • Reviewing existing connectomic studies focused on TBI.

Main Results:

  • Neuroimaging techniques provide novel insights into structural and functional brain connectivity in TBI.
  • Connectome analysis reveals alterations in distributed brain networks post-TBI.
  • Abnormalities in brain networks correlate with neurological dysfunction.

Conclusions:

  • Connectomic studies using advanced neuroimaging are crucial for understanding TBI pathophysiology.
  • These techniques hold promise for developing imaging biomarkers for cognitive and neurobehavioral outcomes.
  • Connectomics may aid in predicting prognosis and guiding treatment strategies for TBI patients.