Mental Time Travel in Depression: Disentangling Cue Valence, Temporal Orientation and Task Instructions
Notice bibliographique
Résumé
Unique patterns in thinking about events from one’s personal past (episodic memory) or events that could feasibly occur in one’s future (episodic FT) have been linked to depression symptoms. Extensive research has examined reductions in reporting of specific memories in depression and recent interventions are designed to improve retrieval of specific memories. Reduced positive future fluency, or reduced speeded reporting of positive events plausible in one’s personal future, is another characteristic of depression. While the Mental Time Travel (MTT) Model predicts a relationship between memory for past events and future thinking, there is no consensus regarding their relation in depression. This study examined the effects of Temporal Orientation (Past, Future) and Cue Valence (Negative, Neutral, Positive) within and between Fluency and Specificity Instruction Tasks (FIT and SIT) in Depressed (n=44) and Never Depressed (n=27) undergraduate student samples. Performance on Future conditions of the SIT was significantly positively correlated with performance on Past and Future FIT task conditions. The Past conditions of the SIT correlated negatively with the Future conditions of the SIT and inconsistently with the FIT. Surprisingly, neither performance on FIT nor SIT correlated significantly with depression as assessed using the Beck Depression Inventory, second edition (BDI-II). On the FIT, more events were reported in the Positive and Negative than Neutral conditions, but there were no significant differences between Past and Future conditions. On the SIT, more specific events were reported in the Neutral and Positive conditions. Lack of positive correlations within and between conditions of the FIT and SIT suggests that these tasks involve different cognitive processes. In addition, the lack of correlation between the BDI-II and both the FIT and SIT and lack of group effects suggests that more research is needed to determine moderators of reporting fluency and specificity in depression. Implications of my dissertation include adding to the considerable support of the MTT Model and its applicability to depressed samples, highlighting the need to conduct carefully controlled studies and clarify the influence of sample selection, use of prompts and scoring criteria on effects in the literature, and translate knowledge and methodology from basic research, such as models from brain imaging studies, to inform clinical practice.
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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) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 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) | 0,003 | 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 ».