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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).
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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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In-scanner thoughts contribute to resting-state functional connectivity.

Javier Gonzalez-Castillo1, Megan A Spurney2,3, Ka Chun Lam4

  • 1Section on Functional Imaging Methods, NIMH, NIH, Bethesda, MA, USA. javier.gonzalez-castillo@nih.gov.

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|June 27, 2026
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Summary
This summary is machine-generated.

Inner experiences during resting-state fMRI (rsfMRI) scans significantly impact functional connectivity (FC) patterns. These subjective experiences are stable and can predict brain activity, highlighting their importance in rsfMRI interpretation.

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Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Psychiatry

Background:

  • Resting-state fMRI (rsfMRI) is crucial for identifying functional connectivity (FC) abnormalities in clinical populations.
  • Standard rsfMRI analysis controls for demographic and motion artifacts but often overlooks the influence of participants' inner experiences.
  • Systematic differences in subjective experience during scans may confound FC interpretations.

Purpose of the Study:

  • To investigate the impact of in-scanner subjective experiences on rsfMRI functional connectivity (FC) measures.
  • To determine if experiential profiles are stable, subject-specific traits.
  • To assess the predictive power of FC for experiential dimensions.

Main Methods:

  • Utilized a dataset of 469 rsfMRI scans with retrospective experiential annotations.
  • Analyzed summary descriptors of in-scanner experience for reproducibility and subject-specificity.
  • Examined FC differences associated with distinct experiential profiles and FC's predictive capacity for experience.

Main Results:

  • In-scanner experiential descriptors were found to be reproducible across visits and subject-specific, suggesting trait-like qualities.
  • Significant differences in FC were observed between scans with varying reported experiential profiles.
  • Functional connectivity predicted specific experiential dimensions with performance comparable to demographic, cognitive, and clinical variables.

Conclusions:

  • In-scanner subjective experience plays a critical role in shaping rsfMRI functional connectivity (FC) findings.
  • These findings emphasize the need to incorporate experiential data for more accurate rsfMRI interpretation.
  • The study highlights stable experiential tendencies rather than moment-to-moment state-dependent relationships.