F101. LINGUISTIC DETERMINANTS OF FORMAL THOUGHT DISORDER IN FIRST EPISODE PSYCHOSIS
Notice bibliographique
Résumé
In addition to positive and negative symptoms, patients with schizophrenia have notable disturbances in their ability to produce integrated, complex thoughts. Clinical quantification of thought disorder is a challenging process, contributing to the paucity of mechanistic understanding of disorganization seen in early stages of psychosis. We studied the linguistic aspects of clinically quantified dimensions of thought disorder – especially the dimension of disorganized thinking, in a sample of patients with untreated, first episode psychosis and healthy controls. Data were collected from a sample of antipsychotic-naïve FEPs (n=37) and group matched HCs(n=24) as part of a longitudinal clinical study. Participants were recruited from the Prevention and Early Intervention Program for Psychoses in London, Ontario, Canada (PEPP-London). After completing a comprehensive assessment of clinical symptoms, participants were administered the Thought Language Index (TLI) in which one minute of speech was induced using pictures from Thematic Apperception Test. Analyses of linguistic characteristics were conducted using Coh-Metrix, a software system that analyzes written and transcribed speech samples for various linguistic characteristics. Patients and controls were compared on levels of (1) Syntactic Complexity (2) Syntactic categories [word information] (3) Connectives and (4) Lexical Diversity after controlling for total words spoken, parental socioeconomic status, and gender. A single metric for each of these four measures were derived using principal component analyses applied to individual items of CohMetrix from each of these 4 aspects of speech. All 4 measures were used to predict the scores of TLI Disorganization. Compared to HCs, FEPs showed higher overall syntactic complexity (F=6.7, p=0.012), indicating an increase in the overall linguistic complexity of FEP speech samples. FEPs also showed abnormalities in the incidence of syntactic categories (F=5.1, p =0.028), especially a higher use of the first-person singular pronoun. Patients and controls did not differ significantly on the use of connectives and lexical diversity. Within the patient sample, TLI disorganization was predicted by excessive use of connectives (F=9.8, p=0.005), indicating a strong role for inappropriate cohesive links forged between ideas as a cardinal feature of disorganized thinking. To our knowledge, the higher syntactic complexity and abnormal employment of syntactic categories among patients is a novel finding in untreated psychosis. The construct of disorganization, measured using clinical judgment, likely relates to the excessive use of connectives, likely contributing to the clinical intuition of incoherence. In early stages of active psychosis, formal thought disorder could be quantified more reliably using automated syntax analysis.
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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 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».