Effectiveness of a Short Computer-based Emotion Recognition Training in Different Patient Groups
2021年4月13日 更新者: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.
調査の概要
詳細な説明
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.
研究の種類
介入
入学 (予想される)
80
段階
- 適用できない
連絡先と場所
このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。
研究連絡先
- 名前:Christina Stadler, Professor
- 電話番号:+41 61 325 51 11
- メール:Christina.stadler@upk.ch
研究連絡先のバックアップ
- 名前:Ana Cubillo, PhD
- 電話番号:+41 61 325 80 33
- メール:Ana.cubillo@upk.ch
参加基準
研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。
適格基準
就学可能な年齢
10年~18年 (子、大人)
健康ボランティアの受け入れ
いいえ
受講資格のある性別
全て
説明
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
研究計画
このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。
研究はどのように設計されていますか?
デザインの詳細
- 主な目的:処理
- 割り当て:なし
- 介入モデル:単一グループの割り当て
- マスキング:なし(オープンラベル)
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
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他の: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.
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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.
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この研究は何を測定していますか?
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Change in performance accuracy in Geneva Emotion Recognition Test (GERT)
時間枠:Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)
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Percentage of accuracy to stimuli showing facial emotions
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Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)
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Change in performance response times in Geneva Emotion Recognition Test (GERT)
時間枠:Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)
|
Response times to stimuli showing facial emotions
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Change in performance before and after the emotion recognition training, after 1 month (pre/post measure)
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Change in performance reaction times in Social decision-making task
時間枠:Change in Performance before and after the emotion recognition training, after 1 month (pre/post measure)
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Reaction times for each of the facial emotions shown
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Change in Performance before and after the emotion recognition training, after 1 month (pre/post measure)
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Change in choices in Social decision-making task
時間枠:Change in choices before and after the emotion recognition training, after 1 month (pre/post measure)
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The proportion of choices that maximise their self-gain for each of the facial emotions shown
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Change in choices before and after the emotion recognition training, after 1 month (pre/post measure)
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協力者と研究者
ここでは、この調査に関係する人々や組織を見つけることができます。
スポンサー
出版物と役立つリンク
研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。
一般刊行物
- Ahmed SP, Bittencourt-Hewitt A, Sebastian CL. Neurocognitive bases of emotion regulation development in adolescence. Dev Cogn Neurosci. 2015 Oct;15:11-25. doi: 10.1016/j.dcn.2015.07.006. Epub 2015 Jul 29.
- Blakemore SJ. The social brain in adolescence. Nat Rev Neurosci. 2008 Apr;9(4):267-77. doi: 10.1038/nrn2353.
- Somerville LH, Casey BJ. Developmental neurobiology of cognitive control and motivational systems. Curr Opin Neurobiol. 2010 Apr;20(2):236-41. doi: 10.1016/j.conb.2010.01.006. Epub 2010 Feb 16.
- Tanaka JW, Sung A. The "Eye Avoidance" Hypothesis of Autism Face Processing. J Autism Dev Disord. 2016 May;46(5):1538-52. doi: 10.1007/s10803-013-1976-7.
- Wieckowski AT, White SW. Attention Modification to Attenuate Facial Emotion Recognition Deficits in Children with Autism: A Pilot Study. J Autism Dev Disord. 2020 Jan;50(1):30-41. doi: 10.1007/s10803-019-04223-6.
- Ramdoss S, Machalicek W, Rispoli M, Mulloy A, Lang R, O'Reilly M. Computer-based interventions to improve social and emotional skills in individuals with autism spectrum disorders: a systematic review. Dev Neurorehabil. 2012;15(2):119-35. doi: 10.3109/17518423.2011.651655.
- Kouo JL, Egel AL. The Effectiveness of Interventions in Teaching Emotion Recognition to Children with Autism Spectrum Disorder. Rev J Autism Dev Disord. 2016 Sep;3(3):254-65.
- Silver M, Oakes P. Evaluation of a new computer intervention to teach people with autism or Asperger syndrome to recognize and predict emotions in others. Autism. 2001 Sep;5(3):299-316. doi: 10.1177/1362361301005003007.
- Zoerner D, Schutze J, Kirst S, Dziobek I, Lucke U. Zirkus Empathico: Mobile Training of Socio-Emotional Competences for Children with Autism. In: 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT) [Internet]. Austin, TX, USA: IEEE; 2016 [cited 2021 Feb 10]. p. 448-52. Available from: http://ieeexplore.ieee.org/document/7757020/
- Hunnikin LM, van Goozen SHM. How can we use knowledge about the neurobiology of emotion recognition in practice? Journal of Criminal Justice. 2019 Nov;65:101537.
- Cooper S, Hobson CW, van Goozen SH. Facial emotion recognition in children with externalising behaviours: A systematic review. Clin Child Psychol Psychiatry. 2020 Oct;25(4):1068-1085. doi: 10.1177/1359104520945390. Epub 2020 Jul 25.
- Wells AE, Hunnikin LM, Ash DP, van Goozen SHM. Improving emotion recognition is associated with subsequent mental health and well-being in children with severe behavioural problems. Eur Child Adolesc Psychiatry. 2021 Nov;30(11):1769-1777. doi: 10.1007/s00787-020-01652-y. Epub 2020 Sep 30.
- Dadds MR, Cauchi AJ, Wimalaweera S, Hawes DJ, Brennan J. Outcomes, moderators, and mediators of empathic-emotion recognition training for complex conduct problems in childhood. Psychiatry Res. 2012 Oct 30;199(3):201-7. doi: 10.1016/j.psychres.2012.04.033. Epub 2012 Jun 15.
- Hubble K, Bowen KL, Moore SC, van Goozen SH. Improving Negative Emotion Recognition in Young Offenders Reduces Subsequent Crime. PLoS One. 2015 Jun 29;10(6):e0132035. doi: 10.1371/journal.pone.0132035. eCollection 2015.
- Moebert, T. & Lucke, U., (2019). E.V.A. - Emotionen Verstehen und Ausdrücken. In: Pinkwart, N. & Konert, J. (Hrsg.), DELFI 2019. Bonn: Gesellschaft für Informatik e.V.. (S. 289-290). DOI: 10.18420/delfi2019_324
- Schlegel K, Grandjean D, Scherer KR. Introducing the Geneva emotion recognition test: an example of Rasch-based test development. Psychol Assess. 2014 Jun;26(2):666-72. doi: 10.1037/a0035246. Epub 2013 Dec 2.
研究記録日
これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。
主要日程の研究
研究開始 (予想される)
2021年4月15日
一次修了 (予想される)
2021年11月30日
研究の完了 (予想される)
2021年11月30日
試験登録日
最初に提出
2021年4月8日
QC基準を満たした最初の提出物
2021年4月13日
最初の投稿 (実際)
2021年4月14日
学習記録の更新
投稿された最後の更新 (実際)
2021年4月14日
QC基準を満たした最後の更新が送信されました
2021年4月13日
最終確認日
2021年4月1日
詳しくは
本研究に関する用語
追加の関連 MeSH 用語
その他の研究ID番号
- EmoRecTraining_EVA
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
いいえ
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米国FDA規制医薬品の研究
いいえ
米国FDA規制機器製品の研究
いいえ
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