Notice bibliographique
Résumé
In this issue of Acta, Psychiatrica Scandinavica Järnum et al. (1) have reported a very ambitious longitudinal study of cortical thickness estimated with a sophisticated surface-based method, cerebral perfusion function assessed with pseudo-continuous arterial spin labeling and brain metabolites measured with magnetic resonance spectroscopy. Järnum et al. (1) reported thinner cortical regions in depressed patients compared to healthy controls. Some of these regions such as the inferior frontal region would be expected on the basis of regions known to be associated with emotional processing. However, the finding of cortical thinning in the superior and medial temporal regions was a bit surprising, suggesting that the networks associated with depression may be more complex than previously imagined. Another interesting finding was that there was a longitudinal increase in cortical thickness in the right superior temporal pole and left orbitofrontal cortex, perhaps indicating that some of the structural changes are reversible in keeping with other recent studies. Cerebral perfusion did not differ between groups as might be expected with patients on medication, but there were significant decreases in N-acetylaspartate, myoinositol, and glutamate in depressed patients at baseline in keeping with postmortem glial cell deficits in these patients. More interesting were findings in non-responders. Järnum et al. (1) reported significant cortical thinning in the posterior cingulate cortex and a decrease in perfusion in the anterior cingulate cortex in non-responders at baseline. Both placebo and fluoxetine have been reported to be associated with metabolic increases in these regions. The findings of Järnum et al. (1) add to the growing literature that suggests that rostral anterior cingulate activity may be associated with treatment response. However, cortical thinning in the posterior cingulate in non-responders suggests that structural changes in this region may also be associated with poor treatment response. Despite the obvious importance of genetic factors in mood disorders, after more than two decades of intensive search, no major genetic anomalies have arisen which account for more than a tiny fraction of cases. Psychiatric disorders are not alone. In fact, it is increasing clear that the ‘genomic bubble’ has been deflated (2). The challenge of our time is not to find the genetic anomalies associated with these disorders but to define the final common pathways that underlie major psychiatric disorders whatever the cause of the disorder (3). Finding the final common pathways that underlie psychiatric disorders is not going to be easy, but there is some reason to be optimistic in the case of mood disorders. The neural systems associated with emotional processing are beginning to be identified. These are a ventral system including the amygdala, insula, ventral striatum, ventral anterior cingulate gyrus, and prefrontal cortex involved in identification and autonomic regulation of emotional responses and a dorsal system including the hippocampus, dorsal anterior cingulate gyrus, and prefrontal cortex involved in effortful regulation of affectively mediated behaviors (4). Not surprisingly, many of regions involved in emotional processing are associated with brain imaging anomalies in mood disordered patients. However, the patterns tend to vary depending on the population studied and the techniques utilized. Very few of the studies in this area have attempted longitudinal studies and fewer still have used more than one technique to study brain structure and function in the same patients. Thus, the Järnum et al. (1) study is a welcome addition to the literature. While any number of genetic and/or environmental factors could lead to the structural and functional anomalies seen in these patients, an intriguing possibility offered by Järnum et al. (1) is that cortical thinning, decreased perfusion, and loss of glial cells might be consistent with chronic inflammatory changes associated with the hypersecretion of cortisol. Other explanations are possible but the idea that inflammation may be associated with depression is very appealing. Much like the suggestion that gastrointestinal ulcers might be caused by a bacterium, there has been some resistance to this idea, but there is some compelling evidence that inflammation and depression are linked. A particularly striking double-blind, randomized crossover studies demonstrated mood changes associated with subgenual cingulate activity in healthy volunteers given typhoid vaccinations (5). Clearly, there is a need to further explore this hypothesis with brain imaging studies in depressed patients which integrate cortisol and inflammatory markers. Some have argued that brain imaging studies have been no more successful than molecular genetic investigations in elucidating the pathophysiology of major psychiatric disorders. There is some truth in this argument, but the tide is changing. We are beginning to understand the nature of many brain networks (3), and it is not unreasonable to expect that this knowledge may translate into an understanding of the final common pathways of disorders like depression.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,002 |
| 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 tête enseignante, 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 ».