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Related Experiment Video

Updated: Jul 12, 2026

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
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Published on: June 24, 2025

Resting-state functional connectivity and alexithymia: Preliminary predictive evidence.

Anika Holton1, Tianye Zhai1, Elise Shealy2

  • 1Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, 251 Bayview Blvd, Baltimore, MD, 21224, USA.

Journal of Affective Disorders
|July 10, 2026
PubMed
Summary

This study reveals brain network differences linked to alexithymia, characterized by difficulty with emotional awareness. Reduced connectivity in specific brain regions predicts alexithymia traits in healthy adults.

Keywords:
Affective processingAlexithymiaEmotion regulationNeural correlatesPredictive modelingResting-state functional connectivity

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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Area of Science:

  • Neuroscience
  • Psychiatry
  • Cognitive Science

Background:

  • Alexithymia, marked by poor emotional awareness, is common in mental health and substance use disorders.
  • Understanding its neural basis in healthy individuals is crucial for developing targeted interventions.

Purpose of the Study:

  • To identify brain network patterns associated with individual differences in alexithymia using predictive modeling.
  • To investigate the neural correlates of emotional processing deficits independent of psychiatric comorbidities.

Main Methods:

  • 150 healthy adults completed the Toronto Alexithymia Scale (TAS-20).
  • Resting-state functional magnetic resonance imaging (fMRI) was used to assess whole-brain functional connectivity.
  • Predictive modeling identified network patterns linked to TAS-20 scores.

Main Results:

  • Distinct brain connectivity patterns predicted total alexithymia and the Difficulty Describing Feelings (DDF) subscale.
  • Total alexithymia was associated with reduced connectivity involving the right thalamus, left dlPFC, posterior insula, sensorimotor regions, cerebellum, medial temporal lobe, and frontal cortex.
  • Higher DDF scores correlated with decreased connectivity between the left PMC, anterior insula, and dorsal ACC, indicating disrupted sensory integration and cognitive control networks.

Conclusions:

  • Decreased functional connectivity across sensory, cognitive, and motor networks modestly predicts alexithymia.
  • Findings offer insights into neural mechanisms of emotional processing and potential targets for circuit-based psychiatric interventions.