Functional and structural MR imaging in neuropsychiatric disorders, Part 1: imaging techniques and their application

S Mueller1, D Keeser, M F Reiser

  • 1Institute of Clinical Radiology, University Hospitals Munich, 81377 Munich. sophia.muellermed@uni-muenchen.de

Insights

Advanced MR imaging techniques like fMRI and DTI reveal brain changes in neuropsychiatric disorders. This review explores their use in understanding conditions such as Alzheimer's disease, autism, and schizophrenia.

Area of Science:

  • Neuroimaging
  • Neuropsychiatry
  • Radiology

Background:

  • Advanced Magnetic Resonance (MR) imaging techniques are increasingly applied to study neuropsychiatric disorders.
  • Functional MRI (fMRI) assesses brain function, while Diffusion Tensor Imaging (DTI) and Voxel-Based Morphometry (VBM) investigate structural properties of gray matter (GM) and white matter (WM).
  • These methods offer neurobiological insights into brain architecture, function, and potential diagnostic markers.

Purpose of the Study:

  • To review the principles of functional and structural MR imaging.
  • To summarize key findings in Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD), autism, and schizophrenia.
  • To discuss current applications, limitations, and future directions of MR imaging in neuroimaging.

Main Methods:

  • Review of functional MR imaging (fMRI) principles.
  • Review of structural MR imaging techniques including Diffusion Tensor Imaging (DTI) and Voxel-Based Morphometry (VBM).
  • Synthesis of major findings from studies on MCI, AD, autism, and schizophrenia.

Main Results:

  • fMRI identifies disease-specific alterations in brain function.
  • DTI and VBM reveal structural changes in gray and white matter.
  • MR imaging provides correlates for brain architecture, function, and potential diagnostic markers.

Conclusions:

  • MR imaging techniques are valuable tools for understanding neuropsychiatric disorders.
  • These methods aid in evaluating therapeutic approaches and early diagnosis.
  • Future prospects involve refining applications and overcoming current limitations in MR neuroimaging.

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