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Related Concept Videos

Brain Imaging01:14

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 Stimulation (TMS).
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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New and emerging imaging techniques for mapping brain circuitry.

Hong Pan1, Jane Epstein, David A Silbersweig

  • 1Functional Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital/Harvard Medical School, Boston, MA 02467, USA. hpan1@bics.bwh.harvard.edu

Brain Research Reviews
|March 1, 2011
PubMed
Summary
This summary is machine-generated.

This review covers advances in functional neuroimaging methods for analyzing brain activity and connectivity. It helps neuroscientists understand and apply these techniques for research, aiding in the interpretation of complex brain network data.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Functional neuroimaging techniques generate complex, high-dimensional data.
  • Understanding brain structure and function requires advanced analytical methods.
  • Bridging the gap between neuroimaging data and network properties is crucial.

Purpose of the Study:

  • To survey key methodological and analytical advancements in functional neuroimaging.
  • To equip neuroscientists with the knowledge to critically evaluate and apply these methods.
  • To guide the investigation of complex brain questions using neuroimaging data.

Main Methods:

  • Review of major developments in functional neuroimaging data analysis.
  • Focus on methods for distilling network properties from multimodal datasets.
  • Inclusion of practical considerations for study design and assessment.

Main Results:

  • Identification of critical analytical and methodological progress in the field.
  • Provision of a framework for understanding complex brain connectivity.
  • Examples illustrating the application of various techniques to research questions.

Conclusions:

  • Enhanced understanding of functional neuroimaging techniques facilitates informed literature review.
  • Thoughtful application of advanced methods improves neuroscientific investigations.
  • The survey empowers researchers to address complex brain activity and connectivity questions effectively.