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Effectiveness of a Short Computer-based Emotion Recognition Training in Different Patient Groups

13 april 2021 uppdaterad av: Prof. Christina Stadler

Compared Effectiveness of a Short Computer-based Emotion Recognition Training in Conduct Disorder and Autistic Spectrum Disorder Patients

Emotion recognition and regulation are necessary skills for social interaction. Disrupted development of these processes severely interferes with socio-emotional development. These difficulties are commonly reported in patients with Autistic Spectrum Disorder (ASD) or Conduct Disorder (CD), with the subsequent social/interpersonal difficulties. The available evidence suggest that impaired emotion regulation processes might underlie the aggressive behaviours frequently observed in both disorders. However, no study has yet investigated the presence of disorder-specific characteristics on emotion processing between these two disorders. Different impaired emotion recognition difficulties may underlie the reported emotion dysregulation. A practical implication of this is that given that both disorders have shown difficulties during emotion recognition processes, a short, computer-based intervention to improve emotion recognition might benefit both cases, even though their aetiologies might differ.

Studieöversikt

Status

Har inte rekryterat ännu

Detaljerad beskrivning

For ASD patients, studies training facial emotion recognition have focused on increasing the active attention to the eye region, re-directing attention to facial features to facilitate facial emotion recognition. Evidence shows positive results using computer-based emotion recognition training programs with young children and adolescents with ASD. It has also been recently suggested that emotion recognition training may be a suitable intervention for patients with CD. This would be supported by some preliminary evidence in patients with severe behavioural problems, young offenders and patients with CD + CU Traits. The overall goal of this project is to investigate the compared impact of an emotion recognition training in patients with ASD or CD. This goal can be subdivided into three separate subgoals: a) identify whether the training program is effective; b) identify whether the training program has differentiated or comparable effects between both patients groups and c) investigate individual characteristics that may help identify those individuals who would benefit most from the intervention. This information is crucial to inform the design of more efficient treatments to differentially address the specific deficits associated to the disorders.

Studietyp

Interventionell

Inskrivning (Förväntat)

80

Fas

  • Inte tillämpbar

Kontakter och platser

Det här avsnittet innehåller kontaktuppgifter för dem som genomför studien och information om var denna studie genomförs.

Studiekontakt

Studera Kontakt Backup

Deltagandekriterier

Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.

Urvalskriterier

Åldrar som är berättigade till studier

10 år till 18 år (Barn, Vuxen)

Tar emot friska volontärer

Nej

Kön som är behöriga för studier

Allt

Beskrivning

Inclusion Criteria:

  • Diagnosis: ASD or CD
  • German speaking
  • IQ > 70
  • Age: 10-18

Exclusion Criteria:

  • Comorbid Anxiety or Depressive disorder diagnosis
  • IQ < 70
  • Insufficient German language skills
  • Severe developmental disorders

Studieplan

Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.

Hur är studien utformad?

Designdetaljer

  • Primärt syfte: Behandling
  • Tilldelning: N/A
  • Interventionsmodell: Enskild gruppuppgift
  • Maskning: Ingen (Open Label)

Vapen och interventioner

Deltagargrupp / Arm
Intervention / Behandling
Övrig: Emotion recognition training
All participants have to complete the online emotion recognition training E.V.A. as well as the pre- and post training tasks: GERT and social decision making task.
The online training is focused on the strengthening of socioemotional competences and consists of different training tasks (up to 3 million) presented to the participant as mini games. These training tasks are specifically designed according to empirical findings to match the socio-emotional recognition needs of people with ASD. During these games, an adapted Elo-Algorithm allows to automatically evaluate the participants' performance and adapts the difficulty levels throughout the users' progress in the training.

Vad mäter studien?

Primära resultatmått

Resultatmått
Åtgärdsbeskrivning
Tidsram
Change in performance accuracy in Geneva Emotion Recognition Test (GERT)
Tidsram: Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)
Percentage of accuracy to stimuli showing facial emotions
Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)
Change in performance response times in Geneva Emotion Recognition Test (GERT)
Tidsram: Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)
Response times to stimuli showing facial emotions
Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)
Change in performance reaction times in Social decision-making task
Tidsram: Change in Performance before and after the emotion recognition training, after 1 month (pre/post measure)
Reaction times for each of the facial emotions shown
Change in Performance before and after the emotion recognition training, after 1 month (pre/post measure)
Change in choices in Social decision-making task
Tidsram: Change in choices before and after the emotion recognition training, after 1 month (pre/post measure)
The proportion of choices that maximise their self-gain for each of the facial emotions shown
Change in choices before and after the emotion recognition training, after 1 month (pre/post measure)

Samarbetspartners och utredare

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Publikationer och användbara länkar

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Allmänna publikationer

Studieavstämningsdatum

Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.

Studera stora datum

Studiestart (Förväntat)

15 april 2021

Primärt slutförande (Förväntat)

30 november 2021

Avslutad studie (Förväntat)

30 november 2021

Studieregistreringsdatum

Först inskickad

8 april 2021

Först inskickad som uppfyllde QC-kriterierna

13 april 2021

Första postat (Faktisk)

14 april 2021

Uppdateringar av studier

Senaste uppdatering publicerad (Faktisk)

14 april 2021

Senaste inskickade uppdateringen som uppfyllde QC-kriterierna

13 april 2021

Senast verifierad

1 april 2021

Mer information

Termer relaterade till denna studie

Plan för individuella deltagardata (IPD)

Planerar du att dela individuella deltagardata (IPD)?

NEJ

Läkemedels- och apparatinformation, studiedokument

Studerar en amerikansk FDA-reglerad läkemedelsprodukt

Nej

Studerar en amerikansk FDA-reglerad produktprodukt

Nej

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