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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: Nov 11, 2025

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Applications of brain imaging methods in driving behaviour research.

Milad Haghani¹, Michiel C J Bliemer², Bilal Farooq³

¹Institute of Transport and Logistics Studies, The University of Sydney Business School, The University of Sydney, NSW, Australia; Centre for Spatial Data Infrastructure and Land Administration (CSDILA), School of Electrical, Mechanical and Infrastructure Engineering, The University of Melbourne, Australia.

Accident; Analysis and Prevention

|March 26, 2021

Summary

Neuroimaging methods like EEG and fMRI offer insights into driver cognition, aiding research in fatigue detection and distracted driving. While fMRI is invasive, EEG and fNIRS show promise for real-world driving studies.

Keywords:

Alcohol and cannabis Driver brain activity Driver decision-making Electroencephalography (EEG)Fatigue and drowsiness Functional Magnetic Resonance Imaging (fMRI)Functional Near-Infrared Spectroscopy (fNIRS)Magnetoencephalography (MEG)Neuroimaging Secondary task Simulated driving

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Last Updated: Nov 11, 2025

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

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Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

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Published on: September 18, 2012

Area of Science:

Neuroscience
Cognitive Science
Human Factors Engineering

Background:

Neuroimaging methods provide critical insights into the neuro-cognitive processes underlying human driving behavior.
Understanding driver brain activity is essential for enhancing road safety and developing advanced driver assistance systems.

Purpose of the Study:

To comprehensively review the application of neuroimaging techniques in driving behavior research.
To identify key themes, methodologies, and findings within this research domain.
To explore future research directions and practical considerations for neuroimaging in driving studies.

Main Methods:

Bibliometric analysis of neuroimaging driving studies.
Systematic review and synthesis of findings across different neuroimaging methods.
Analysis of macro-scale (bibliometric) and micro-scale (thematic) aspects of the literature.

Main Results:

Functional Magnetic Resonance Imaging (fMRI) and Electroencephalography (EEG) are the most common methods, with fMRI used for studying intoxication and distraction, and EEG for fatigue detection.
Functional Near-Infrared Spectroscopy (fNIRS) and Magnetoencephalography (MEG) have also been applied, with EEG and fNIRS showing greater practical applicability in field studies.
Research on driver brain activity in semi-automated settings and in individuals with neurological conditions is limited.

Conclusions:

Neuroimaging offers valuable tools for understanding driver cognition, with EEG and fNIRS demonstrating particular potential for practical application in real-world driving scenarios.
Future research should explore under-investigated areas such as semi-automated driving and special populations.
The review highlights the advantages and limitations of various neuroimaging techniques, guiding future research design in driving behavior studies.