Interpersonal Emotion Dynamics in Couples With Somatic Symptom Disorder: Dyadic Coherence in Facial Temperature During Emotional Interactions

Güney, Zeynep Emine Okur; Cardone, Daniela; Sattel, Heribert; Ariens, Sigert; Witthöft, Michael; Kuppens, Peter; Henningsen, Peter

doi:10.1097/psy.0000000000001032

Cited by 5 publications

(2 citation statements)

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“…6 12 54 60 63 64 Researchers have a general concern for cognitive function, and five studies showed that patients with SSD have worse attention, memory and diseased cognition. 26 59 65–67 Regarding emotional regulation, one study found that patients with SSD and their partners were dysregulated in dealing with each other’s negative emotions 68 ; another study 63 showed that patients with SSD had a lower ability to distinguish between their own emotions and somatic feelings than healthy controls, but showed no significant differences compared with healthy controls in identifying others' emotions, emotional arousal and responses.…”

Section: Resultsmentioning

confidence: 99%

Scoping review update on somatic symptom disorder that includes additional Chinese data

Wu,

Manglike,

Chen

et al. 2023

Gen Psych

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Somatic symptom disorder (SSD) is a new diagnosis introduced into the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), which is expected to solve the diagnostic difficulties of patients with medically unexplained symptoms.Based on the previous work, this review aims to comprehensively synthesise updated evidence related to SSD from recent years in English publications and, more extensively, from data published in Chinese language journals.The scoping review update was based on an earlier scoping review and included Chinese language publication data from China National Knowledge Internet (CNKI), WANFANG and WEIPU between January 2013 and May 2022 and data from PubMed, PsycINFO, and Cochrane Library between June 2020 and May 2022.Initially, 2 984 articles were identified, of which 63 full texts were included for analysis. In China, SSD is mainly applied in scientific research, but it also shows good predictive validity and clinical application potential. The mean frequency of SSD was 4.5% in the general population, 25.2% in the primary care population and 33.5% in diverse specialised care settings. Biological factors, such as brain region changes and heart rate variability, are associated with the onset of SSD. Psychological impairment related to somatic symptoms is the best predictor of prognosis. While adolescent SSD was significantly associated with family function, SSD overall is associated with an increased dysfunction of cognition and emotion, decreased quality of life, and high comorbidity with anxiety and depressive disorders. Further research is needed on suicide risk and cultural and gender-related issues.Updating the data of Chinese language studies, our research enriches the evidence-based findings related to the topics addressed in the text sections of the SSD chapter of DSM-5. However, research gaps remain about SSD reliability, population-based prevalence, suicide risk, and cultural and gender-related issues.

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Section: Resultsmentioning

confidence: 99%

Scoping review update on somatic symptom disorder that includes additional Chinese data

Wu,

Manglike,

Chen

et al. 2023

Gen Psych

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“…Frequency analysis of thermal signal permits of course to nd the single most informative components of the underlying phenomena, allowing to obtain a more detailed insight on the dataset. Indeed, it has been largely employed in the eld of thermal IR imaging applied on human studies [30][31][32] It is of fundamental importance to observe that the present work is highly innovative given that it is the rst time that a machine learning classi er relying on features extracted from a completely non-invasive and contactless technique has been used to segment the tumor area from the health tissue with outstanding performances.…”

Section: Discussionmentioning

confidence: 99%

Intraoperative thermal infrared imaging in neurosurgery: machine learning approaches for advanced segmentation of tumors

et al. 2023

Self Cite

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Surgical resection is one of the most relevant practices in neurosurgery. Finding the correct surgical extent of the tumor is a key question and so far several techniques have been employed to assist the neurosurgeon in preserving the maximum amount of healthy tissue. Some of these methods are invasive for patients, not always allowing high precision in the detection of the tumor area. The aim of this study is to overcome these limitations, developing machine learning based models, relying on features obtained from a contactless and non-invasive technique, the thermal infrared (IR) imaging. The thermal IR videos of thirteen patients with heterogeneous tumors were recorded in the intraoperative context. Time (TD)- and frequency (FD)-domain features were extracted and fed different machine learning models. Models relying on FD features have proven to be the best solutions for the optimal detection of the tumor area (Average Accuracy = 90.45%; Average Sensitivity = 84.64%; Average Specificity = 93,74%). The obtained results highlight the possibility to accurately detect the tumor lesion boundary with a completely non-invasive, contactless, and portable technology, revealing thermal IR imaging as a very promising tool for the neurosurgeon.

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Affect regulation as transdiagnostic mechanism

Schemer,

In-Albon,

Basten

et al. 2024

Psychotherapie

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Interpersonal Emotion Dynamics in Couples With Somatic Symptom Disorder: Dyadic Coherence in Facial Temperature During Emotional Interactions

Abstract: Supplemental digital content is available in the text.

Cited by 5 publications

References 60 publications

Scoping review update on somatic symptom disorder that includes additional Chinese data

Scoping review update on somatic symptom disorder that includes additional Chinese data

Intraoperative thermal infrared imaging in neurosurgery: machine learning approaches for advanced segmentation of tumors

Affect regulation as transdiagnostic mechanism

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