| 1. |
- Fischer, Håkan, 1962-, et al.
(författare)
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Why the Single-N Design Should Be the Default in Affective Neuroscience
- 2024
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Ingår i: Affective Science. - : Springer Nature. - 2662-2041 .- 2662-205X. ; 5:1, s. 62-66
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Tidskriftsartikel (refereegranskat)abstract
- Many studies in affective neuroscience rely on statistical procedures designed to estimate population averages and base their main conclusions on group averages. However, the obvious unit of analysis in affective neuroscience is the individual, not the group, because emotions are individual phenomena that typically vary across individuals. Conclusions based on group averages may therefore be misleading or wrong, if interpreted as statements about emotions of an individual, or meaningless, if interpreted as statements about the group, which has no emotions. We therefore advocate the Single-N design as the default strategy in research on emotions, testing one or several individuals extensively with the primary purpose of obtaining results at the individual level. In neuroscience, the equivalent to the Single-N design is deep imaging, the emerging trend of extensive measurements of activity in single brains. Apart from the fact that individuals react differently to emotional stimuli, they also vary in shape and size of their brains. Group-based analysis of brain imaging data therefore refers to an “average brain” that was activated in a way that may not be representative of the physiology of any of the tested individual brains, nor of how these brains responded to the experimental stimuli. Deep imaging avoids such group-averaging artifacts by simply focusing on the individual brain. This methodological shift toward individual analysis has already opened new research areas in fields like vision science. Inspired by this, we call for a corresponding shift in affective neuroscience, away from group averages, and toward experimental designs targeting the individual.
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| 2. |
- Laukka, Petri, 1971-, et al.
(författare)
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Neural correlates of individual differences in multimodal emotion recognition ability
- 2024
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Ingår i: Cortex. - : Elsevier. - 0010-9452 .- 1973-8102. ; 175, s. 1-11
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Tidskriftsartikel (refereegranskat)abstract
- Studies have reported substantial variability in emotion recognition ability (ERA) – an important social skill – but possible neural underpinnings for such individual differences are not well understood. This functional magnetic resonance imaging (fMRI) study investigated neural responses during emotion recognition in young adults (N=49) who were selected for inclusion based on their performance (high or low) during previous testing of ERA. Participants were asked to judge brief video recordings in a forced-choice emotion recognition task, wherein stimuli were presented in visual, auditory and multimodal (audiovisual) blocks. Emotion recognition rates during brain scanning confirmed that individuals with high (vs. low) ERA received higher accuracy for all presentation blocks. fMRI-analyses focused on key regions of interest (ROIs) involved in the processing of multimodal emotion expressions, based on previous meta-analyses. In neural response to emotional stimuli contrasted with neutral stimuli, individuals with high (vs. low) ERA showed higher activation in the following ROIs during the multimodal condition: right middle superior temporal gyrus (mSTG), right posterior superior temporal sulcus (PSTS), and right inferior frontal cortex (IFC). Overall, results suggest that individual variability in ERA may be reflected across several stages of decisional processing, including extraction (mSTG), integration (PSTS) and evaluation (IFC) of emotional information.
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| 3. |
- Liu, Peiwei, et al.
(författare)
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Effects of four-week intranasal oxytocin administration on large-scale brain networks in older adults
- 2024
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Ingår i: Neuropharmacology. - 0028-3908 .- 1873-7064. ; 260
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Tidskriftsartikel (refereegranskat)abstract
- Oxytocin (OT) is a crucial modulator of social cognition and behavior. Previous work primarily examined effects of acute intranasal oxytocin administration (IN-OT) in younger males on isolated brain regions. Not well understood are (i) chronic IN-OT effects, (ii) in older adults, (iii) on large-scale brain networks, representative of OT's wider-ranging brain mechanisms. To address these research gaps, 60 generally healthy older adults (mean age = 70.12 years, range = 55–83) were randomly assigned to self-administer either IN-OT or placebo twice daily via nasal spray over four weeks. Chronic IN-OT reduced resting-state functional connectivity (rs-FC) of both the right insula and the left middle cingulate cortex with the salience network but enhanced rs-FC of the left medial prefrontal cortex with the default mode network as well as the left thalamus with the basal ganglia–thalamus network. No significant chronic IN-OT effects were observed for between-network rs-FC. However, chronic IN-OT increased selective rs-FC of the basal ganglia–thalamus network with the salience network and the default mode network, indicative of more specialized, efficient communication between these networks. Directly comparing chronic vs. acute IN-OT, reduced rs-FC of the right insula with the salience network and between the default mode network and the basal ganglia–thalamus network, and greater selective rs-FC of the salience network with the default mode network and the basal ganglia–thalamus network, were more pronounced after chronic than acute IN-OT. Our results delineate the modulatory role of IN-OT on large-scale brain networks among older adults.
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| 4. |
- Xiao, Shanshan, et al.
(författare)
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Age-dependent effects of oxytocin in brain regions enriched with oxytocin receptors
- 2024
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Ingår i: Psychoneuroendocrinology. - : Elsevier. - 0306-4530 .- 1873-3360. ; 160
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Tidskriftsartikel (refereegranskat)abstract
- Although intranasal oxytocin administration to tap into central functions is the most commonly used non-invasive means for exploring oxytocin’s role in human cognition and behavior, the way by which intranasal oxytocin acts on the brain is not yet fully understood. Recent research suggests that brain regions densely populated with oxytocin receptors may play a central role in intranasal oxytocin’s action mechanisms in the brain. In particular, intranasal oxytocin may act directly on (subcortical) regions rich in oxytocin receptors via binding to these receptors while only indirectly affecting other (cortical) regions via their neural connections to oxytocin receptor-enriched regions. Aligned with this notion, the current study adopted a novel approach to test 1) whether the connections between oxytocin receptor-enriched regions (i.e., the thalamus, pallidum, caudate nucleus, putamen, and olfactory bulbs) and other regions in the brain were responsive to intranasal oxytocin administration, and 2) whether oxytocin-induced effects varied as a function of age. Forty-six young (24.96 ± 3.06 years) and 44 older (69.89 ± 2.99 years) participants were randomized, in a double-blind procedure, to self-administer either intranasal oxytocin or placebo before resting-state fMRI. Results supported age-dependency in the effects of intranasal oxytocin administration on connectivity between oxytocin receptor-enriched regions and other regions in the brain. Specifically, compared to placebo, oxytocin decreased both connectivity density and connectivity strength of the thalamus for young participants while it increased connectivity density and connectivity strength of the caudate for older participants. These findings inform the mechanisms underlying the effects of exogenous oxytocin on brain function and highlight the importance of age in these processes.
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| 5. |
- Döllinger, Lillian, 1986-
(författare)
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I know how you feel : Emotion recognition accuracy and training in psychotherapy education
- 2023
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Researchers, practitioners and legislators agree that it is important to understand which kinds of psychotherapeutic treatments lead to lasting positive changes in patients’ well-being, how those treatments can be administered in efficient ways and how it can be determined which patients would benefit from which treatment. In recent years, there has also been growing interest in those who practice psychotherapy; specifically, in the socio-emotional and interpersonal characteristics and competencies that psychotherapists should possess to provide high quality treatments for a variety of patients, irrespective of psychotherapy approach. This thesis studies one such important psychotherapist competency, namely the ability to recognize non-verbal emotional expressions in others. Psychotherapists need to be able to help patients experience, understand and express their emotions, and, in this context, it is crucial that they themselves have good socio-emotional competencies, like emotion recognition accuracy. Still, there is surprisingly little research about psychotherapists’ emotion recognition accuracy and about how they could be supported in improving this ability in the course of their education. Study I explores trainee psychotherapists’ emotion recognition accuracy in the beginning and in the end of theoretical and practical psychotherapy education, and compares it to a control group of undergraduate students. The results reveal that trainee psychotherapists in the beginning of their education show superior emotion recognition accuracy for multimodal (audio, video, audio-video) emotional expressions and micro expressions (<200ms) compared to the control group. This suggests that those who choose to become psychotherapists might already possess elevated emotion recognition accuracy or might have developed it early on during their studies. However, after one and a half years of education, their multimodal and micro expression emotion recognition accuracy does not improve significantly more than the control groups’ accuracy. This suggests that standard (psychodynamic and cognitive behavioral) psychotherapy education does not automatically lead to improved emotion recognition accuracy, even though the trainees learn how to conduct psychotherapy and also treat their first patients at the university clinic. Or, alternatively, that the socio-emotional competencies that develop during the education might not be captured by the standardized computerized emotion recognition accuracy tasks used in this study. Nonetheless, this finding might also suggest that more explicit training of emotion recognition accuracy is needed. Study II then investigates two newly developed standardized computerized emotion recognition accuracy trainings, one for multimodal emotion recognition accuracy and one for micro expression recognition accuracy. The trainings are evaluated in a sample of undergraduate students using a mixed design. The trainings are compared to one another and to an active control training. Both trainings are found to significantly improve the participants’ emotion recognition accuracy in a one-week posttest. Study III extends those findings using a sample of trainee psychotherapists. Also in the target population, both trainings are found to be effective in the one-week posttest. In addition to that, the multimodal training shows effects for unimodal emotion recognition accuracy for audio-only and video-only stimuli in the one-year follow-up towards the end of psychotherapy education. This indicates that standardized computerized emotion recognition accuracy training can be used as a tool for improving trainee psychotherapists’ emotion recognition accuracy, even though additional interventions might be needed for securing long-term success for all facets of emotion recognition. Future research should explore the practical impact of trainee psychotherapists’ emotion recognition accuracy and the training of this ability. The findings of this thesis are, on the one hand, surprising, in so far as psychotherapy education likely does not lead to improvements in trainee psychotherapists’ emotion recognition accuracy. On the other hand, they are encouraging, because they suggest that this ability can be trained with relatively simple and resource-efficient methods. Emotion recognition accuracy training could become part of standard or individualized psychotherapy training, alongside the training of other relevant verbal and non-verbal socio-emotional and interpersonal psychotherapist competencies.
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| 6. |
- Döllinger, Lillian, 1986-, et al.
(författare)
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Trainee psychotherapists’ emotion recognition accuracy during 1.5 years of psychotherapy education compared to a control group: No improvement after psychotherapy training
- 2023
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Ingår i: PeerJ. - 2167-8359. ; 11
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Tidskriftsartikel (refereegranskat)abstract
- The ability to recognize and work with patients’ emotions is considered an important part of most psychotherapy approaches. Surprisingly, there is little systematic research on psychotherapists' ability to recognize other people’s emotional expressions. In this study, we compared trainee psychotherapists’ non-verbal emotion recognition accuracy to a control group of undergraduate students at two time points: at the beginning and at the end of one and a half years of theoretical and practical psychotherapy training. Emotion recognition accuracy (ERA) was assessed using two standardized computer tasks, one for recognition of dynamic multimodal (facial, bodily, vocal) expressions and one for recognition of facial micro expressions. Initially, 154 participants enrolled in the study, 72 also took part in the follow-up. The trainee psychotherapists were moderately better at recognizing multimodal expressions, and slightly better at recognizing facial micro expressions, than the control group at the first test occasion. However, mixed multilevel modeling indicated that the ERA change trajectories for the two groups differed significantly. While the control group improved in their ability to recognize multimodal emotional expressions from pretest to follow-up, the trainee psychotherapists did not. Both groups improved their micro expression recognition accuracy, but the slope for the control group was significantly steeper than the trainee psychotherapists’. These results suggest that psychotherapy education and clinical training do not always contribute to improved emotion recognition accuracy beyond what could be expected due to time or other factors. Possible reasons for that finding as well as implications for the psychotherapy education are discussed.
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| 7. |
- Döllinger, Lillian, 1986-, et al.
(författare)
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Trainee psychotherapists’ emotion recognition accuracy improves after training : emotion recognition training as a tool for psychotherapy education
- 2023
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Ingår i: Frontiers in Psychology. - : Frontiers Media S.A.. - 1664-1078. ; 14
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: Psychotherapists’ emotional and empathic competencies have a positive influence on psychotherapy outcome and alliance. However, it is doubtful whether psychotherapy education in itself leads to improvements in trainee psychotherapists’ emotion recognition accuracy (ERA), which is an essential part of these competencies.Methods: In a randomized, controlled, double-blind study (N = 68), we trained trainee psychotherapists (57% psychodynamic therapy and 43% cognitive behavioral therapy) to detect non-verbal emotional expressions in others using standardized computerized trainings – one for multimodal emotion recognition accuracy and one for micro expression recognition accuracy – and compared their results to an active control group one week after the training (n = 60) and at the one-year follow up (n = 55). The participants trained once weekly during a three-week period. As outcome measures, we used a multimodal emotion recognition accuracy task, a micro expression recognition accuracy task and an emotion recognition accuracy task for verbal and non-verbal (combined) emotional expressions in medical settings.Results: The results of mixed multilevel analyses suggest that the multimodal emotion recognition accuracy training led to significantly steeper increases than the other two conditions from pretest to the posttest one week after the last training session. When comparing the pretest to follow-up differences in slopes, the superiority of the multimodal training group was still detectable in the unimodal audio modality and the unimodal video modality (in comparison to the control training group), but not when considering the multimodal audio-video modality or the total score of the multimodal emotion recognition accuracy measure. The micro expression training group showed a significantly steeper change trajectory from pretest to posttest compared to the control training group, but not compared to the multimodal training group. However, the effect vanished again until the one-year follow-up. There were no differences in change trajectories for the outcome measure about emotion recognition accuracy in medical settings.Discussion: We conclude that trainee psychotherapists’ emotion recognition accuracy can be effectively trained, especially multimodal emotion recognition accuracy, and suggest that the changes in unimodal emotion recognition accuracy (audio-only and video-only) are long-lasting. Implications of these findings for the psychotherapy education are discussed.
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| 8. |
- Högman, Lennart, 1960-, et al.
(författare)
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Cognition, prior aggression, and psychopathic traits in relation to impaired multimodal emotion recognition in psychotic spectrum disorders
- 2023
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Ingår i: Frontiers in Psychiatry. - : Frontiers Media S.A.. - 1664-0640. ; 14
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Tidskriftsartikel (refereegranskat)abstract
- Background: Psychopathic traits have been associated with impaired emotion recognition in criminal, clinical and community samples. A recent study however, suggested that cognitive impairment reduced the relationship between psychopathy and emotion recognition. We therefore investigated if reasoning ability and psychomotor speed were impacting emotion recognition in individuals with psychotic spectrum disorders (PSD) with and without a history of aggression, as well as in healthy individuals, more than self-rated psychopathy ratings on the Triarchic Psychopathy Measure (TriPM). Methods: Eighty individuals with PSD (schizophrenia, schizoaffective disorder, delusional disorder, other psychoses, psychotic bipolar disorder) and documented history of aggression (PSD+Agg) were compared with 54 individuals with PSD without prior aggression (PSD-Agg) and with 86 healthy individuals on the Emotion Recognition Assessment in Multiple Modalities (ERAM test). Individuals were psychiatrically stable and in remission from possible substance use disorders. Scaled scores on matrix reasoning, averages of dominant hand psychomotor speed and self-rated TriPM scores were obtained. Results: Associations existed between low reasoning ability, low psychomotor speed, patient status and prior aggression with total accuracy on the ERAM test. PSD groups performed worse than the healthy group. Whole group correlations between total and subscale scores of TriPM to ERAM were found, but no associations with TriPM scores within each group or in general linear models when accounting for reasoning ability, psychomotor speed, understanding of emotion words and prior aggression. Conclusion: Self-rated psychopathy was not independently linked to emotion recognition in PSD groups when considering prior aggression, patient status, reasoning ability, psychomotor speed and emotion word understanding.
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| 9. |
- Sánchez-Cano, Beatriz, et al.
(författare)
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Solar Energetic Particle Events Detected in the Housekeeping Data of the European Space Agency's Spacecraft Flotilla in the Solar System
- 2023
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Ingår i: Space Weather. - : American Geophysical Union (AGU). - 1542-7390. ; 21:8
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Tidskriftsartikel (refereegranskat)abstract
- Despite the growing importance of planetary Space Weather forecasting and radiation protection for science and robotic exploration and the need for accurate Space Weather monitoring and predictions, only a limited number of spacecraft have dedicated instrumentation for this purpose. However, every spacecraft (planetary or astronomical) has hundreds of housekeeping sensors distributed across the spacecraft, some of which can be useful to detect radiation hazards produced by solar particle events. In particular, energetic particles that impact detectors and subsystems on a spacecraft can be identified by certain housekeeping sensors, such as the Error Detection and Correction (EDAC) memory counters, and their effects can be assessed. These counters typically have a sudden large increase in a short time in their error counts that generally match the arrival of energetic particles to the spacecraft. We investigate these engineering datasets for scientific purposes and perform a feasibility study of solar energetic particle event detections using EDAC counters from seven European Space Agency Solar System missions: Venus Express, Mars Express, ExoMars-Trace Gas Orbiter, Rosetta, BepiColombo, Solar Orbiter, and Gaia. Six cases studies, in which the same event was observed by different missions at different locations in the inner Solar System are analyzed. The results of this study show how engineering sensors, for example, EDAC counters, can be used to infer information about the solar particle environment at each spacecraft location. Therefore, we demonstrate the potential of the various EDAC to provide a network of solar particle detections at locations where no scientific observations of this kind are available.
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| 10. |
- Gerhardsson, Andreas, 1984-
(författare)
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Processing affective information after sleep loss
- 2022
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- It is not fully understood why we need to sleep, although it is evident that sleep loss has consequences for many emotional and cognitive functions. The last couple of decades, sleep researchers have been increasingly devoted to better understand the relationship between sleep and affect. However, it is still poorly understood how sleep deprivation influences the way in which affective information is processed. The aim of this thesis was to investigate if there is a bias towards affective information after sleep deprivation and whether such bias influence information processing.Study I tested reinforcement learning from positive as compared to negative feedback after two nights of sleep restriction. There were no indications of the expected reward-seeking behavior in generalized learning or in the learning strategy. A slowing in learning rate inferred from computational modeling was observed primarily for negative feedback. This could be indicative of a slowing in memory integration. It is unclear if the dopamine alterations proposed to cause reward-seeking behavior after total sleep deprivation are also implicated after sleep restriction.Study II examined the neurophysiological response of the competition of attention between unpleasant and neutral pictures after two nights of sleep restriction. We found no alterations of sleep restriction on attention in relation to picture valence, or on executive control of attention. Despite observations of an increased sleepiness, an impaired sustained attention, and reduced positive affect, the few hours of allowed sleep may have been enough to counteract an affective bias and an executive control impairment.Study III tested if one night of total sleep deprivation altered working memory for positive, negative, or neutral pictures using two levels of working memory load. Results showed that working memory accuracy was generally impaired after sleep deprivation, independent of picture valence. However, in the sleep deprived group we observed faster responses to positive and slower responses to negative pictures. These results could indicate a bias towards both positive and negative pictures, but with opposite consequences on working memory speed.Study IV used the same protocol as Study III to combinedly test two common findings among older adults: That they prioritize positive over negative stimuli (the positivity effect), and that they are less affected by sleep deprivation. Working memory performance was overall better for positive than negative pictures, with no differences between the sleep conditions. This positivity effect was only present in the low working memory load condition. These results show that even after a state-dependent challenge such as sleep deprivation, the positivity effect remains in older adults, at least when working memory load is low.Overall, the Studies in this thesis demonstrate signs of affective bias as well as lack thereof after total and partial sleep deprivation. The use of a diverse set of tasks and methodology may have contributed to the discrepancies in the findings, but it also highlights that we have yet to fully understand how lack of sleep may influence the processing of affectively valuable information.
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