Evidence map›Paper›PMID 41561341›Full record

ArticleFrontiers in neurology2025

The neural correlates of illness awareness in addiction: a pilot exploratory analysis of preliminary data from the cognitive dysfunction in the addictions (CDiA) research program.

Shannen Kyte, Jianmeng Song, Yuliya S Nikolova, Anthony C Ruocco, Sri Mahavir Agarwal, Aron Amaev, Danielle Bukovsky, Edgardo Carmona-Torres, Daniel Felsky, Ariel Graff-Guerrero and 10 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Shannen KyteInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.
Jianmeng SongInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.
Yuliya S NikolovaCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Anthony C RuoccoCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Sri Mahavir AgarwalInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.
Aron AmaevInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.
Danielle BukovskyInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.
Edgardo Carmona-TorresInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.
Daniel FelskyCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Ariel Graff-GuerreroInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.
Shannon LangeInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.
Thomas D PrevotCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Lena C QuiltyCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Gary RemingtonInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.
Etienne SibilleCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Antonio P StrafellaInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.
Fumihiko UenoMultimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
Erica VieiraCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Daphne VoineskosCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Philip GerretsenInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Impaired illness awareness or anosognosia is common in substance use disorders (SUDs), including alcohol use disorder (AUD), and is a significant barrier to treatment engagement. Neuroimaging studies of the neural correlates of impaired illness awareness in other conditions have observed functional differences in regions involved in self-referential processing, namely the frontoparietal and insular areas. This study aimed to extend this research to impaired illness awareness in SUDs. Methods: Twenty participants with AUD ( Results: Individuals with impaired illness awareness had significantly greater activation than individuals with intact illness awareness in the right insula in the AUD and SUD combined group and in the left PPA (i.e., supramarginal gyrus) in the AUD subgroup. These results were no longer significant after including illness severity as a covariate and controlling for substance category in the combined group. In the SUD subgroup, impaired illness awareness was associated with higher activation in the right dlPFC (i.e., medial superior frontal gyrus); however, this finding did not survive family-wise error correction. Conclusion: The results of this pilot exploratory study cautiously suggest that similar to other conditions that feature impaired illness awareness, subjective addiction awareness may be related to increased frontoparietal and insular brain activity during an fMRI illness awareness task. However, no findings were significant after correction for multiple testing, hence, further study in a larger sample is required to establish brain regions associated with subjective substance use awareness.

Indexed as

alcohol use disorderanosognosiafunctional MRIimpaired illness awarenessinsightmagnetic resonance imagingsubstance use disordertask-based MRI

Identifiers

PMID41561341
PMCPMC12812657

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.