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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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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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Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
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Imaging the "At-Risk" Brain: Future Directions.

Maki S Koyama1, Adriana Di Martino2, Francisco X Castellanos3

  • 11Child Mind Institute,New York,New York.

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|February 19, 2016
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Summary

Longitudinal brain imaging in psychiatry can identify predictive markers for risk and prognosis, enabling personalized medicine. Strategic studies of at-risk brains offer potential for early intervention and prevention in mental health.

Keywords:
Brain developmentLongitudinal examinationMagnetic resonance imaging (MRI)Population and time windowPredictionStratified psychiatry

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Clinical neuroscience increasingly uses brain imaging to understand psychiatric symptoms and identify diagnostic neurobiological markers.
  • Advancements in diffusion imaging and resting-state fMRI enable longitudinal mapping of brain development.
  • This shift supports identifying predictive markers for risk and prognosis, crucial for personalized psychiatry.

Purpose of the Study:

  • To review high-yield populations for longitudinal magnetic resonance imaging (MRI) studies in psychiatry.
  • To explore the readiness of the field for longitudinal neurodevelopmental MRI research.
  • To illustrate optimal populations and time windows for generating meaningful data on risk and prognosis.

Main Methods:

  • Selective review of populations based on epidemiologic risk data and initial MRI findings.
  • Discussion organized around practical considerations, field readiness, and high-yield examples.
  • Emphasis on developmentally informed longitudinal designs for biomarker identification.

Main Results:

  • Identified practical considerations for establishing temporal precedence in psychiatric imaging research.
  • Assessed the field's readiness for longitudinal neurodevelopmental MRI studies.
  • Provided examples of high-yield populations and time windows for rapid data generation.

Conclusions:

  • Longitudinal brain imaging of at-risk individuals can identify biomarkers predictive of risk and prognosis.
  • Time-appropriate, developmentally informed longitudinal designs are key.
  • Strategic longitudinal studies hold potential for advancing early intervention and prevention in psychiatry.