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Background: There is demand for new, effective and scalable treatments for depression, and development of new forms of cognitive bias modification (CBM) of negative emotional processing biases has been suggested as possible interventions to meet this need.
Methods: We report two double blind RCTs, in which volunteers with high levels of depressive symptoms (Beck Depression Inventory ii (BDI-ii) > 14) completed a brief course of emotion recognition training (a novel form of CBM using faces) or sham training. In Study 1 (N = 36), participants completed a post-training emotion recognition task whilst undergoing functional magnetic resonance imaging to investigate neural correlates of CBM. In Study 2 (N = 190), measures of mood were assessed post-training, and at 2-week and 6-week follow-up.
Results: In both studies, CBM resulted in an initial change in emotion recognition bias, which (in Study 2) persisted for 6 weeks after the end of training. In Study 1, CBM resulted in increases neural activation to happy faces, with this effect driven by an increase in neural activity in the medial prefrontal cortex and bilateral amygdala. In Study 2, CBM did not lead to a reduction in depressive symptoms on the BDI-ii, or on related measures of mood, motivation and persistence, or depressive interpretation bias at either 2 or 6-week follow-ups.
Conclusions: CBM of emotion recognition has effects on neural activity that are similar in some respects to those induced by Selective Serotonin Reuptake Inhibitors (SSRI) administration (Study 1), but we find no evidence that this had any later effect on self-reported mood in an analogue sample of non-clinical volunteers with low mood (Study 2).
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http://dx.doi.org/10.1017/S0033291719004124 | DOI Listing |
Dis Model Mech
December 2024
CNRS, Institut des Neurosciences Paris-Saclay, Université Paris-Saclay, 91400 Saclay, France.
The severity of brain comorbidities in Duchenne muscular dystrophy (DMD) depends on the mutation position within the DMD gene and differential loss of distinct brain dystrophin isoforms (i.e. Dp427, Dp140, Dp71).
View Article and Find Full Text PDFJ Autism Dev Disord
December 2024
Aspect Research Centre for Autism Practice, Autism Spectrum Australia, Level 5, Tower B, The Zenith, 821 Pacific Highway, Chatswood, NSW, 2067, Australia.
This study aimed to validate the Mandarin translation of the Stanford Social Dimensions Scale (SSDS). The initial validation sample consisted of 480 children with Autism Spectrum Disorder (ASD) (M = 9.35).
View Article and Find Full Text PDFJMIR Ment Health
December 2024
Faculty of Applied Computer Science, Augsburg University, Augsburg, Germany.
Background: The rise of wearable sensors marks a significant development in the era of affective computing. Their popularity is continuously increasing, and they have the potential to improve our understanding of human stress. A fundamental aspect within this domain is the ability to recognize perceived stress through these unobtrusive devices.
View Article and Find Full Text PDFCogn Neurodyn
December 2024
School of Computer Science and Engineering, Changchun University of Technology, Changchun, 130102 Jilin People's Republic of China.
The utilization of Electroencephalography (EEG) for emotion recognition has emerged as the primary tool in the field of affective computing. Traditional supervised learning methods are typically constrained by the availability of labeled data, which can result in weak generalizability of learned features. Additionally, EEG signals are highly correlated with human emotional states across temporal, spatial, and spectral dimensions.
View Article and Find Full Text PDFAerosp Med Hum Perform
December 2024
Introduction: Facial expression perception is the process by which someone can interpret the emotion of another individual using their facial cues. Below-average scores on tests designed to measure facial expression recognition (FER) accuracies are associated with inappropriate behavioral responses and are often linked to mental or neurological disorders. Head-down bed rest microgravity analog studies show changes in facial emotion processing that may indicate a behavioral health risk during spaceflight.
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