Neuroimaging Changes during Early Recovery from Alcohol Use Disorder
Notice bibliographique
Résumé
Alcohol use disorder (AUD) is one of the most prevalent, harmful, and costly preventable disorders in the world. AUD is associated with wide-spread structural and functional brain deficits, which are at least partially reversible with sustained abstinence. The most rapid recovery is thought to occur within the initial weeks of sobriety. The mechanism and progression of structural and functional AUD-related brain damage and subsequent recovery during remission remain not fully understood. The objective of this exploratory project was to better characterize the macroscopic and microscopic structural and functional brain changes in recovering AUD patients between approximately two weeks and one month of abstinence, using multi-modal magnetic resonance imaging (MRI) techniques. The data was acquired at two clinical sites in Edmonton, Canada and Mannheim, Germany and together represent one of the largest and most clinically homogeneous, longitudinal, multimodal AUD neuroimaging datasets analyzed to this date. We have conducted six sets of analyses examining: 1) voxel and surface-based morphometry of structural brain changes; 2) region-based morphometry of structural brain changes; 3) white matter microstructure brain changes; 4) regional resting state functional connectivity brain changes; 5) brain changes in large-scale resting state functional network connectivity; and 6) AUD-related brain iron accumulation. The results of these studies have revealed a rich set of complex results across all of the tested modalities. 1) The first analysis revealed a broad high single digit decrease in global gray and white matter densities in AUD at the first time point, which persisted in mid-single digit at the second time point, exhibiting a positive but non-significant structural integrity improvement with sustained abstinence. The AUD group has also exhibited a persistent low single digit decrease in global cortical thickness that persisted through both time points. Clinical severity scales were weakly-to-moderately correlated to the magnitude of the structural atrophy. 2) The second analysis revealed broad high single digit decrease in region-specific cortical, subcortical, and cerebellar regions which showed significant correlation to the clinical severity, especially in the most affected regions. Longitudinal interscan differences associated with sustained abstinence did not survive multiple comparison correction but indicated a positive recovery trend. 3) The third analysis revealed aberrant diffusion tensor imaging (DTI) scalar pattern consistent with wide-spread neuronal and/or myelin injury in AUD at both time points. Magnitude of the scalar’s impairment was in most cases correlated to the clinical severity measures. The longitudinal differences were not significant but alluded to a pattern of microstructural healing during the early AUD recovery. 4) The fourth analysis revealed persistent AUD-related decrease in regional functional connectivity indices in basal ganglia that persisted during both time points, as well as aberrant increase in functional connectivity in the frontal cortex in the AUD patients. Longitudinal differences were mostly not significant. Magnitude of most of the functional deficits was correlated to the AUD clinical severity measures. The longitudinal changes should be considered with caution but might potentially provide evidence of over-compensatory adaptation in the abstinent AUD. 5) The fifth analysis revealed a largely inconsistent complex set of differences in the resting state functional networks derived from an independent component analysis (ICA). Together with hierarchical network analysis, these results suggest a pattern of global hypoconnectivity in the AUD with encouraging functional connectivity convergence across plurality of the networks. Most of the significant changes were correlated with at least one measure of AUD severity. 6) The sixth analysis demonstrated use of a novel quantitative susceptibility technique in a clinical cohort to retrospectively measure brain iron accumulation. This analysis revealed significant high single-digit to low teen percentage increase in iron accumulation in deep brain gray matter in AUD. Altogether, the six sets of analyses completed in this project succeeded in characterizing AUD-related structural and functional deficits in recently detoxified AUD patients but largely failed to detect significant longitudinal differences during the approximately two week to one month interscan remission period. Several of the above analyses were first of their kind and provide unique evidence characterizing early brain recovery dynamics during successful remission from AUD.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».