Alexithymia is a multifaceted, transdiagnostic trait characterized by challenges in emotion processing. Affecting up to 10% in the general population, it represents a risk factor for various mental and physical health conditions. Recent neuroimaging studies have elucidated the neural substrates of alexithymia, providing initial insight into altered functional connectivity within key emotional, attentional, and interoceptive networks, potentially impairing emotion processing and everyday functioning. However, no large-scale study has yet confirmed these network alterations.

Resting-state functional magnetic resonance imaging from 575 individuals (ages 29–60, 334 women) in the population-based SHIP-TREND cohort, using regions of interest covering major functional networks across the whole brain, was paired with the 20-item Toronto Alexithymia Scale (TAS-20) to investigate the signature of alexithymia. The analysis accounted for technical variables, sociodemographic factors, lifestyle, and current depressive symptoms.

Higher TAS-20 scores were associated with altered functional connectivity within the frontoparietal network and between the dorsal attention and salience networks. Specifically, the subscale “difficulties identifying feelings” was associated with functional alterations between and within attentional, salience, and sensorimotor networks, indicating a divergent pattern within the salience network.

These findings underscore the widespread impact of alexithymia on brain networks involved in emotional attention, interoception, and somatosensory processing. Controlling for lifestyle factors, current depressive symptoms, and other health indicators supports the specificity of these patterns. This supports the view of alexithymia as a personality trait that affects large-scale network functioning, potentially hampering emotional regulation and self-awareness processes, contributing to mental and physical health risks.

The current paper focused on the validity of using self-reports to assess emotion regulation abilities in autism spectrum disorders (ASD). To assess this we sought responses to two alexithymia self-reports and a depression self-report at two time points from adults with and without ASD.

An initial sample of 27 adults with ASD and 35 normal adults completed the 20-item Toronto alexithymia scale (TAS-20), the Bermond and Vorst alexithymia questionnaire-form B (BVAQ-B), and the Beck depression inventory (BDI), at test time 1. Of these individuals, 19 ASD and 29 controls participated again after a period ranging from 4 to 12 months.

ASD participants were able to report about their own emotions using self-reports. BVAQ-B showed reasonable convergent validity and test–retest reliability in both groups. Scores on both alexithymia scales were stable across the two participant groups. However, results revealed that although the TAS-20 total score discriminated between the two groups at both time points, the BVAQ-B total score did not. Moreover, the TAS-20 showed stronger test–retest reliability than the BVAQ-B.

ASD participants appeared more depressed and more alexithymic than the controls. The use of the BVAQ-B, as an additional assessment of alexithymia, indicated that ASD patients have a specific type of alexithymia characterised by increased difficulties in the cognitive domain rather than the affective aspects of alexithymia.