A megakadásjelenségek és a temporális paraméterek szerepe a borderline személyiségzavar felismerésében
Borderline personality disorder (BPD) is characterized by a pervasive pattern of instability of identity, emotions, and interpersonal relationships, and difficulty with emotional and impulse control. Due to the various co-occurrence patterns of symptoms and the interactions between them, the BPD pop...
Elmentve itt :
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| Dokumentumtípus: | Cikk |
| Megjelent: |
2022
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| Sorozat: | BESZÉDTUDOMÁNY / SPEECH SCIENCE
3 No. 1 |
| Tárgyszavak: | |
| doi: | 10.15775/Besztud.2022.188-224 |
| mtmt: | 33611994 |
| Online Access: | http://publicatio.bibl.u-szeged.hu/34443 |
| Tartalmi kivonat: | Borderline personality disorder (BPD) is characterized by a pervasive pattern of instability of identity, emotions, and interpersonal relationships, and difficulty with emotional and impulse control. Due to the various co-occurrence patterns of symptoms and the interactions between them, the BPD population is relatively heterogeneous, making it difficult for clinicians to diagnose individuals. Since an individual’s state of mind may to some extent be reflected in their speech behavior, an analysis of speech patterns may make a useful contribution to efforts of identifying the disorder. Our goal is to characterize spontaneous speech of BPD individuals based on the patterns of disfluencies and temporal parameters with the forced alignment method of automatic speech recognition, and to differentiate BPD individuals (N = 27) from healthy controls (N = 27) with a logistic regression statistical model. Our results have shown, that spontaneous speech of BPD individuals can be characterized by the frequency of silent pauses, filled pauses, and disturbances of grammatical encoding (grammatical errors and blendings), and the two groups can be differentiated by these features with 0.834 AUC. |
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| Terjedelem/Fizikai jellemzők: | 188-224 |
| ISSN: | 2732-3773 |