Own body perception, and differentiating and comparing one's body to another person's body, are common cognitive functions that have relevance for self-identity and social interactions. In several psychiatric conditions, including anorexia nervosa, body dysmorphic disorder, gender dysphoria, and autism spectrum disorder, self and own body perception, as well as aspects of social communication are disturbed. Despite most of these conditions having skewed prevalence sex ratios, little is known about whether the neural basis of own body perception differs between the sexes. We addressed this question by investigating brain activation using functional magnetic resonance imaging during a Body Perception task in 15 male and 15 female healthy participants. Participants viewed their own body, bodies of same-sex, or opposite-sex other people, and rated the degree that they appeared like themselves. We found that men and women did not differ in the pattern of brain activation during own body perception compared to a scrambled control image. However, when viewing images of other bodies of same-sex or opposite-sex, men showed significantly stronger activations in attention-related and reward-related brain regions, whereas women engaged stronger activations in striatal, medial-prefrontal, and insular cortices, when viewing the own body compared to other images of the opposite sex. It is possible that other body images, particularly of the opposite sex, may be of greater salience for men, whereas images of own bodies may be more salient for women. These observations provide tentative neurobiological correlates to why women may be more vulnerable than men to conditions involving own body perception.

Normal adult aging is associated with decline in some socioemotional abilities, such as the ability to recognize emotions in others, and age-related neurobiological processes may contribute to these deficits. There is increasing evidence that the neuropeptide oxytocin plays a key role in social cognition, including emotion recognition. The mechanisms through which oxytocin promotes emotion recognition are not well understood yet, and particularly in aging. In a randomized, double-blind, placebo-controlled within-subjects design, we investigated the extent to which a single dose of 40 IU of intranasal oxytocin facilitates emotion recognition in 40 younger (M = 24.90 yrs., SD = 2.97, 48% women) and 40 older (M = 69.70 yrs., SD = 2.99, 55% women) men and women. During two fMRI sessions, participants viewed dynamic positive and negative emotional displays. Preliminary analyses show that younger participants recognized positive and negative emotions more accurately than older participants (p < .001), with this behavioral effect not modulated by oxytocin. In the brain data, however, we found an age x treatment interaction in medial prefrontal cortex (xyz [14, 14, 6], p = .007) and superior temporal gyrus (xyz [53, 9, 2], p = .031). In particular, oxytocin (vs. placebo) reduced activity in these regions for older participants, while it enhanced activity in these regions for younger participants. In line with previous research, these findings support the notion that the effects of oxytocin vary by context and individual factors (e.g., social proficiency, age).

The neuropeptide oxytocin plays a prominentrole in social and emotional cognition. Findings suggest that exogenous intranasal oxytocin administration facilitates emotion recognition in humans, but individual and contextual differences may have moderating effects. A major caveat in this line of work is that it is predominantly based on young males, which limits current knowledge and potential for generalizability across gender. To uncover potential gender effects, the present study included younger and older men and women. Utilizing a randomized, double-blind, placebo-controlled, within-subjects study design, we investigated the effects of a single-dose of 40 IUs intranasal oxytocin administration on emotion recognition of dynamic positive and negative stimuli in 32 men (mean age 45.78, sd. 22.87) and 39 women (mean 47.87, sd. 47.87), 40 minutes prior to MRI scanning. Preliminary analyses show that oxytocin induced brain activity reductions during exposure to negative (relative to positive) stimuli in women, while increasing brain activity in dorsomedial prefrontal cortex in men. We speculate that the effects of oxytocin on emotion recognition may possibly be related to emotion regulation and mentalization processes, and that oxytocin is related to potential sex-differences in these processes. The results also raise concern that previous oxytocin literature on emotion recognition may be biased as there appears to be gender-differential effects of oxytocin on brain activity across adulthood that have been underestimated. In the next stage of the present study, we will investigate the interaction effects among treatment, sex, age, and presentation modality.

Normal adult aging is associated with a decline in socioemotional abilities, and underlying these deficits are age-related neurobiological processes. There is increasing evidence that the neuropeptide oxytocin plays a key role in social cognition, specifically in the ability to recognize emotions. In a randomized, double-blind, placebo controlled within-subjects design, we investigated the extent to which a single dose of 40 IU of intranasal oxytocin facilitates neural recruitment in younger and older adults during negative compared to positive dynamic multimodal expressions. Based on the literature, several regions of interest were selected prior analyses: insula, amygdala, caudate head, fusiform gyrus, superior temporal gyrus, medial prefrontal cortex, medial orbitofrontal cortex, ventral medial prefrontal cortex, and dorsomedial prefrontal cortex. Behavioral data showed that younger adults outperformed older adults. and higher accuracy scores were observed during the PL condition compared to the OT condition. This was further qualified by the brain data, where OT induced brain activity reductions in the fusiform gyrus, dorsomedial prefrontal cortex, and medial orbitofrontal cortex in response to negative compared to positive expressions. Both age groups showed hypoactivity in most regions of interest during auditory stimuli compared to visual and multimodal stimuli. In line with previous research, these findings suggest that the effects of oxytocin may vary due to context, social proficiency, and individual factors (i.e. age). Future studies should target how age, presentation modality, and oxytocin interact.

This study presents findings about the effectiveness of two computerized training-programs for emotion recognition accuracy that were evaluated in a double-blind randomized controlled study with repeated measures design. Both trainings are effective in training emotion recognition accuracy. The trainings and results are presented in detail and practical implications are discussed.

The neuropeptide oxytocin plays a prominent role in social and emotional cognition. Findings suggest that intranasal oxytocin administration facilitates emotion recognition in humans, but individual and contextual differences may have moderating effects. A major caveat in this line of work is its predominant focus on young males, which limits current knowledge and generalizability across gender. To uncover potential gender effects, the present study included 32 men (mean age 45.78, sd. 22.87) and 39 women (mean 47.87, sd. 22.59). Utilizing a randomized, double-blind, placebo-controlled, within-subjects design, participants self-administered a single-dose of 40 IUs intranasal oxytocin 40 minutes prior to completion of a dynamic emotion recognition task in the MRI scanning. The task paradigm used positive and negative stimuli from the Geneva Multimodal Emotion Portrayals Core Set. Preliminary analyses show that oxytocin induced dorsomedial prefrontal cortex (dmPFC) activity reductions during exposure to negative (relative to positive) stimuli in women, while dmPCF activity was increased under this condition in men. We observed no effect of sex in the behavioral data, however, the results show a similar trend as in brain data. We speculate that the effects of oxytocin on brain activity during emotion recognition may be related to emotion-regulatory and mentalization processes. The observed gender-differential modulatory role of oxytocin raises concern of a bias in the previous oxytocin literature on emotion recognition and associated brain activity by neglecting women in the examination. Next, we will determine the role of age effects on gender-bytreatment interactions, as well as consider modality of the emotion stimulus presentation.  

The ability to understand how others are feeling is important for social interaction. Studies have reported large inter-individual variability in emotion recognition ability (ERA) in the general population, but the causes for such differences are not well understood. This study investigated neural response during emotion recognition in individuals with high and low ERA. Forty-nine young adults were selected for inclusion based on their performance during previous testing of ERA (e.g., Hovey et al., 2018, Soc Cogn Affect Neurosci, 13, 173-181). Neural response was determined using the blood-oxygen level-dependent (BOLD) signal in a 3-Tesla functional magnetic resonance imaging (fMRI) experiment. The participants were asked to judge which emotions (anger, fear, disgust, happiness, interest, pride, relief, sadness, and neutral expression) were demonstrated in brief clips (i.e. audio-only, video-only, and multimodal audio- video) using a forced-choice response format. Stimuli were taken from the GEMEP emotion portrayal database (Bänziger et al., 2009, Emotion, 9, 691-704). In neural response to emotional stimuli, individuals with high ERA, relative to low ERA, showed higher activation bilaterally in the supplementary motor area, and in the left postcentral gyrus. Results provide initial evidence that the ability to effectively recognize the emotions of others is related to motor and somatosensory neural responses. We speculate that these neural responses in individuals with improved skills in emotion recognition could be related to increased embodiment of emotion expressions during emotion perception.

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.

The objective of this study is to introduce a new quantitative data-driven analysis (QDA) framework for the analysis of resting-state fMRI (R-fMRI) and use it to investigate the effect of adult age on resting-state functional connectivity (RFC). Whole-brain R-fMRI measurements were conducted on a 3T clinical MRI scanner in 227 healthy adult volunteers (N = 227, aged 18–76 years old, male/female = 99/128). With the proposed QDA framework we derived two types of voxel-wise RFC metrics: the connectivity strength index and connectivity density index utilizing the convolutions of the cross-correlation histogram with different kernels. Furthermore, we assessed the negative and positive portions of these metrics separately. With the QDA framework we found age-related declines of RFC metrics in the superior and middle frontal gyri, posterior cingulate cortex (PCC), right insula and inferior parietal lobule of the default mode network (DMN), which resembles previously reported results using other types of RFC data processing methods. Importantly, our new findings complement previously undocumented results in the following aspects: (1) the PCC and right insula are anti-correlated and tend to manifest simultaneously declines of both the negative and positive connectivity strength with subjects’ age; (2) separate assessment of the negative and positive RFC metrics provides enhanced sensitivity to the aging effect; and (3) the sensorimotor network depicts enhanced negative connectivity strength with the adult age. The proposed QDA framework can produce threshold-free and voxel-wise RFC metrics from R-fMRI data. The detected adult age effect is largely consistent with previously reported studies using different R-fMRI analysis approaches. Moreover, the separate assessment of the negative and positive contributions to the RFC metrics can enhance the RFC sensitivity and clarify some of the mixed results in the literature regarding to the DMN and sensorimotor network involvement in adult aging.

To investigate the impact of adult age on the brain functional connectivity, whole-brain resting-state functional magnetic resonance imaging (R-fMRI) data were acquired on a 3T clinical MRI scanner in a cohort of 227, right-handed, native Swedish-speaking, healthy adult volunteers (N=227, aged 18-74 years old, male/female=99/128). The dataset is mainly consisted of a younger (18-30 years old n=124, males/females=51/73) and elderly adult (n=76, 60-76 years old, males/females=35/41) subgroups. The dataset was analyzed using a new data-driven analysis (QDA) framework. With QDA two types of threshold-free voxel-wise resting-state functional connectivity (RFC) metrics were derived: the connectivity strength index (CSI) and connectivity density index (CDI), which can be utilized to assess the brain changes in functional connectivity associated with adult age. The dataset can also be useful as a reference to identify abnormal changes in brain functional connectivity resulted from neurodegenerative or neuropsychiatric disorders.

Gender identity is a core aspect of self-identity and is usually congruent with birth-assigned sex and own body sex-perception. The neuronal circuits underlying gender identity are unknown, but greater awareness of transgenderism has sparked interest in studying these circuits. We did this by comparing brain activation and connectivity in transgender individuals (for whom gender identity and birth-assigned sex are incongruent) with that in cisgender controls (for whom they are congruent) when performing a body self-identification task during functional magnetic resonance imaging. Thirty transgender and 30 cisgender participants viewed images of their own bodies and bodies morphed in sex toward or opposite to birth-assigned sex, rating each image to the degree they identified with it. While controls identified with images of themselves, transgender individuals identified with images morphed opposite to their birth-assigned sex. After covarying out the effect of self-similarity ratings, both groups activated similar self- and body-processing systems when viewing bodies that aligned with their gender identity rather than birth-assigned sex. Additionally, transgender participants had greater limbic involvement when viewing ambiguous, androgynous images of themselves morphed toward their gender identity. These results shed light on underlying self-processing networks specific to gender identity and uncover additional involvement of emotional processing in transgender individuals.

The neurobiology of sexual preference is often discussed in terms of cerebral sex dimorphism. Yet, our knowledge about possible cerebral differences between homosexual men (HoM), heterosexual men (HeM) and heterosexual women (HeW) are extremely limited. In the present MRI study, we addressed this issue investigating measures of cerebral anatomy and function, which were previously reported to show sex difference. Specifically, we asked whether there were any signs of sex atypical cerebral dimorphism among HoM, if these were widely distributed (providing substrate for more general 'female' behavioral characteristics among HoM), or restricted to networks involved in self-referential sexual arousal. Cortical thickness (Cth), surface area (SA), subcortical structural volumes, and resting state functional connectivity were compared between 30 (HoM), 35 (HeM) and 38 (HeW). HoM displayed a significantly thicker anterior cingulate cortex (ACC), precuneus, and the left occipito-temporal cortex compared to both control groups. These differences seemed coordinated, since HoM also displayed stronger cortico-cortical covariations between these regions. Furthermore, functional connections within the default mode network, which mediates self- referential processing, and includes the ACC and precuneus were significantly weaker in HoM than HeM and HeW, whereas their functional connectivity between the thalamus and hypothalamus (important nodes for sexual behavior) was stronger. In addition to these singular features, HoM displayed 'female' characteristics, with a similar Cth in the left superior parietal and cuneus cortices as HeW, but different from HeM. These data suggest both singular and sex atypical features and motivate further investigations of cerebral midline structures in relation to male homosexuality.

Background: Amygdala hyper-responsiveness to negative socio-affective stimuli have typically been demonstrated in patients with social anxiety disorder (SAD). Relative to conventional methods, there is emerging evidence that brain signal variability could be a better predictor of behavior than mean neural response.

Methods: We recruited 46 patients with SAD (mean age 31, 63% females) and 40 matched healthy controls (HC) to undergo 3 Tesla functional magnetic resonance imaging (fMRI) at 2 time-points, totaling 172 MRIsessions. Blood-oxygen level-dependent (BOLD-fMRI) was performed while viewing happy and fearful faces in blocks of 80 seconds. BOLD-fMRI data was reviewed by manually classifying signal from noise. Variability was calculated as each voxel’s standard deviation on signal across scanning-time. Multivariate partial least squares (PLS) estimated patterns of variability that separates patient from controls.

Results: PLS found one significant latent variable with cross-block covariance on 64%, permutated (x 1000) P<0.001, bootstrapped 95% confidence intervals on each condition, demonstrating less signal variability to happy faces in patients, relative to controls. This pattern of response was spatially located in several regions across the whole-brain, with large clusters appearing in bilateral amygdala, medial prefrontal cortex and posterior cingulate cortex/precuneus.

Conclusions: We found that neural response variability to positive socio-affective stimuli accurately separated patients from controls. It is likely that less signal variability highlights a deficit in effective emotion processing. We add to the growing literature on healthy individuals suggesting that task-specific brain signal variability contains useful information. The brain signal variability approach opens new avenues to evaluate and better understand brain function in common psychopathology.

Measuring brain morphology with non-invasive structural magnetic resonance imaging is common practice, and can be used to investigate neuroplasticity. Brain morphology changes have been reported over the course of weeks, days, and hours in both animals and humans. If such short-term changes occur even faster, rapid morphological changes while being scanned could have important implications. In a randomized within-subject study on 47 healthy individuals, two high-resolution T1-weighted anatomical images were acquired (á 263 s) per individual. The images were acquired during passive viewing of pictures or a fixation cross. Two common pipelines for analyzing brain images were used: voxel-based morphometry on gray matter (GM) volume and surface-based cortical thickness. We found that the measures of both GM volume and cortical thickness showed increases in the visual cortex while viewing pictures relative to a fixation cross. The increase was distributed across the two hemispheres and significant at a corrected level. Thus, brain morphology enlargements were detected in less than 263 s. Neuroplasticity is a far more dynamic process than previously shown, suggesting that individuals’ current mental state affects indices of brain morphology. This needs to be taken into account in future morphology studies and in everyday clinical practice.

Background: Biomarkers of psychiatric treatment response remain elusive. Functional magnetic resonance imaging (fMRI) has shown promise, but low reliability has limited the utility of typical fMRI measures (e.g., average brain signal) as harbingers of treatment success. Notably, although historically considered a source of noise, temporal brain signal variability continues to gain momentum as a sensitive and reliable indicator of individual differences in neural efficacy, yet has not been examined in relation to psychiatric treatment outcomes.

Methods: A total of 45 patients with social anxiety disorder were scanned twice (11 weeks apart) using simple task-based and resting-state fMRI to capture moment-to-moment neural variability. After fMRI test-retest, patients underwent a 9-week cognitive behavioral therapy. Multivariate modeling and reliability-based cross-validation were used to perform brain-based prediction of treatment outcomes.

Results: Task-based brain signal variability was the strongest contributor in a treatment outcome prediction model (total rACTUAL,PREDICTED = 0.77), outperforming self-reports, resting-state neural variability, and standard mean-based measures of neural activity. Notably, task-based brain signal variability showed excellent test-retest reliability (intraclass correlation coefficient = 0.80), even with a task length less than 3 minutes long.

Conclusions: Rather than a source of undesirable noise, moment-to-moment fMRI signal variability may instead serve as a highly reliable and efficient prognostic indicator of clinical outcome.

Background: Månsson et al., Biological Psychiatry, In press:

Biomarkers of psychiatric treatment response remain elusive. Functional magnetic resonance imaging (fMRI) has shown promise, but low reliability has limited the utility of typical fMRI measures (e.g., average brain signal) as harbingers of treatment success. Notably, although historically considered a source of “noise,” temporal brain signal variability continues to gain momentum as a sensitive and reliable indicator of individual differences in neural efficacy, yet has not been examined in relation to psychiatric treatment outcomes.

Methods: Forty-five patients with social anxiety disorder were scanned twice (11 weeks apart) using simple task-based and resting-state fMRI to capture moment-to-moment neural variability. After fMRI test-retest, patients underwent a 9-week cognitive-behavioral therapy. Multivariate modeling and reliability-based cross-validation were utilized to perform brain-based prediction of treatment outcomes.

Results: Task-based brain signal variability was the strongest contributor in a treatment outcome prediction model (total r[ACTUAL,PREDICTED]=.77) - outperforming self-reports, resting-state neural variability, and standard mean-based measures of neural activity. Notably, task-based brain signal variability showed excellent test-retest reliability (intraclass correlation coefficient=.80), even with a task length less than 3 minutes long.

Conclusions: Rather than a source of undesirable “noise”, moment-to-moment fMRI signal variability may instead serve as a highly reliable and efficient prognostic indicator of clinical outcome.

Skill learning induces changes in estimates of gray matter volume (GMV) in the human brain, commonly detectable with magnetic resonance imaging (MRI). Rapid changes in GMV estimates while executing tasks may however confound between- and within-subject differences. Fluctuations in arterial blood flow are proposed to underlie this apparent task-related tissue plasticity. To test this hypothesis, we acquired multiple repetitions of structural T₁-weighted and functional blood-oxygen level-dependent (BOLD) MRI measurements from 51 subjects performing a finger-tapping task (FTT; á 2 min) repeatedly for 30–60 min. Estimated GMV was decreased in motor regions during FTT compared with rest. Motor-related BOLD signal changes did not overlap nor correlate with GMV changes. Nearly simultaneous BOLD signals cannot fully explain task-induced changes in T₁-weighted images. These sensitive and behavior-related GMV changes pose serious questions to reproducibility across studies, and morphological investigations during skill learning can also open new avenues on how to study rapid brain plasticity.

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.