Diffusion MRI and its Role in Neuropsychology

Area of Science:

• Neuroimaging
• Neuroscience
• Biophysics

Background:

• Diffusion Magnetic Resonance Imaging (dMRI) is a key non-invasive technique for mapping brain structural connectivity.
• It visualizes white matter architecture by tracking water molecule diffusion within tissues.

Purpose of the Study:

• This review provides a comprehensive overview of dMRI principles and applications in neuroscience.
• It aims to discuss the evolution from traditional diffusion tensor models to more advanced non-tensor models for brain white matter analysis.

Main Methods:

• The review defines diffusion measurement in MRI and introduces the diffusion tensor model.
• It covers acquisition parameters, hardware/software considerations, artifact sources, and analysis approaches.
• Advanced non-tensor models are highlighted for their improved ability to describe complex white matter architecture.

Main Results:

• Limitations of the traditional diffusion tensor model are discussed.
• More sophisticated non-tensor models offer better characterization of white matter complexity.
• Reliability and validity of diffusion measurements are examined.

Conclusions:

• dMRI is a powerful tool for studying brain white matter structure and its alterations in neurological disorders.
• Understanding dMRI techniques and models is crucial for advancing neuroscience research and clinical applications.