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Brain Imaging

Brain Imaging

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...

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Updated: Aug 24, 2025

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

Traumatic Brain Injury (TBI) Detection: Past, Present, and Future.

Ali T Alouani¹, Tarek Elfouly¹

¹Electrical and Computer Engineering Department, College of Engineering, Tennessee Technological University, Cookeville, TN 38505, USA.

|October 27, 2022

Summary

This summary is machine-generated.

Electroencephalogram (EEG) shows promise for detecting traumatic brain injuries (TBI), but current methods struggle to reliably identify mild TBI (mTBI) cases. Further research is needed to improve EEG

Keywords:

artifacts removal artificial intelligence detection electroencephalography neuroimaging preprocessing traumatic brain injury

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Last Updated: Aug 24, 2025

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

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Published on: August 14, 2019

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Investigations on Alterations of Hippocampal Circuit Function Following Mild Traumatic Brain Injury

Investigations on Alterations of Hippocampal Circuit Function Following Mild Traumatic Brain Injury

Published on: November 19, 2012

Area of Science:

Neuroscience
Biomedical Engineering
Neurology

Background:

Traumatic brain injury (TBI) can cause biochemical imbalances and neurofilament disruption, potentially leading to severe neurological conditions like Alzheimer's and Parkinson's.
Mild TBI (mTBI), comprising 90% of cases, requires prompt detection for effective treatment, yet is often missed by current neuroimaging techniques.
Early TBI detection is critical for preventing long-term disability and neurodegenerative diseases.

Purpose of the Study:

To provide a comprehensive overview of TBI detection technologies for clinicians and researchers.
To analyze the advantages and limitations of various TBI detection methods, with a focus on electroencephalography (EEG).
To investigate the reasons behind the current limitations of EEG in detecting mild TBI (mTBI).

Main Methods:

Review of existing scientific literature on TBI detection technologies.
Comparative analysis of neuroimaging techniques and electroencephalogram (EEG) for TBI diagnosis.
Exploration of EEG's spatial and temporal resolution capabilities in brain activity monitoring.

Main Results:

Neuroimaging offers structural and functional brain mapping but lacks the temporal resolution to detect mTBI effectively.
Electroencephalogram (EEG) provides high temporal and good spatial resolution of brain activity, alongside portability and cost-effectiveness.
Current EEG-based TBI detection methods lack the high confidence required to reliably identify mild TBI (mTBI).

Conclusions:

While EEG is a powerful technology for brain activity monitoring, its application in detecting mTBI requires significant advancement.
Existing EEG approaches are insufficient for confident mTBI detection, necessitating further research and development.
Addressing the limitations of EEG is crucial for improving early diagnosis and management of mild traumatic brain injuries.