Machine learning classification of conduct disorder with high versus low levels of callous-unemotional traits based on facial emotion recognition abilities
In: Eur Child Adolesc Psychiatry, 2021
academicJournal
Zugriff:
Conduct disorder (CD) with high levels of callous-unemotional traits (CD/HCU) has been theoretically linked to specific difficulties with fear and sadness recognition, in contrast to CD with low levels of callous-unemotional traits (CD/LCU). However, experimental evidence for this distinction is mixed, and it is unclear whether these difficulties are a reliable marker of CD/HCU compared to CD/LCU. In a large sample (N = 1263, 9–18 years), we combined univariate analyses and machine learning classifiers to investigate whether CD/HCU is associated with disproportionate difficulties with fear and sadness recognition over other emotions, and whether such difficulties are a reliable individual-level marker of CD/HCU. We observed similar emotion recognition abilities in CD/HCU and CD/LCU. The CD/HCU group underperformed relative to typically developing (TD) youths, but difficulties were not specific to fear or sadness. Classifiers did not distinguish between youths with CD/HCU versus CD/LCU (52% accuracy), although youths with CD/HCU and CD/LCU were reliably distinguished from TD youths (64% and 60%, respectively). In the subset of classifiers that performed well for youths with CD/HCU, fear and sadness were the most relevant emotions for distinguishing them from youths with CD/LCU and TD youths, respectively. We conclude that non-specific emotion recognition difficulties are common in CD/HCU, but are not reliable individual-level markers of CD/HCU versus CD/LCU. These findings highlight that a reduced ability to recognise facial expressions of distress should not be assumed to be a core feature of CD/HCU. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00787-021-01893-5.
Titel: |
Machine learning classification of conduct disorder with high versus low levels of callous-unemotional traits based on facial emotion recognition abilities
|
---|---|
Autor/in / Beteiligte Person: | Pauli, Ruth ; Kohls, Gregor ; Tino, Peter ; Rogers, Jack C. ; Baumann, Sarah ; Ackermann, Katharina ; Bernhard, Anka ; Martinelli, Anne ; Jansen, Lucres ; Oldenhof, Helena ; Gonzalez-Madruga, Karen ; Smaragdi, Areti ; Gonzalez-Torres, Miguel Angel ; Kerexeta-Lizeaga, Iñaki ; Boonmann, Cyril ; Kersten, Linda ; Bigorra, Aitana ; Hervas, Amaia ; Stadler, Christina ; Fernandez-Rivas, Aranzazu ; Popma, Arne ; Konrad, Kerstin ; Herpertz-Dahlmann, Beate ; Fairchild, Graeme ; Freitag, Christine M. ; Rotshtein, Pia ; De Brito, Stephane A. |
Link: | |
Zeitschrift: | Eur Child Adolesc Psychiatry, 2021 |
Veröffentlichung: | Springer Berlin Heidelberg, 2021 |
Medientyp: | academicJournal |
DOI: | 10.1007/s00787-021-01893-5 |
Schlagwort: |
|
Sonstiges: |
|