Affect Recognition Deficits Research Articles

How to detect affect recognition alterations in amyotrophic lateral sclerosis.

To define the clinical usability of an affect recognition (AR) battery-the Comprehensive Affect Testing System (CATS)-in an Italian sample of patients with amyotrophic lateral sclerosis (ALS). 96 ALS patients and 116 healthy controls underwent a neuropsychological assessment including the AR subtests of the abbreviated version of the CATS (CATS-A). CATS-A AR subtests and their global score (CATS-A AR Quotient, ARQ) were assessed for their factorial, convergent, and divergent validity. The diagnostic accuracy of each CATS-A AR measure in discriminating ALS patients with cognitive impairment from cognitively normal controls and patients was tested via receiver-operating characteristics analyses. Optimal cut-offs were identified for CATS-A AR measures yielding an acceptable AUC value (≥ .70). The ability of CATS-A ARQ to discriminate between different ALS cognitive phenotypes was also tested. Gray-matter (GM) volumes of controls, ALS with normal (ALS-nARQ), and impaired ARQ score (ALS-iARQ) were compared using ANCOVA models. CATS-A AR subtests and ARQ proved to have moderate-to-strong convergent and divergent validity. Almost all considered CATS-A measures reached acceptable accuracy and diagnostic power (AUC range = .79-.83). ARQ showed to be the best diagnostic measure (sensitivity = .80; specificity = .75) and discriminated between different ALS cognitive phenotypes. Compared to ALS-nARQ, ALS-iARQ patients showed reduced GM volumes in the right anterior cingulate, right middle frontal, left inferior temporal, and superior occipital regions. The AR subtests of the CATS-A, and in particular the CATS-A ARQ, are sound measures of AR in ALS. AR deficits may be a valid marker of frontotemporal involvement in these patients.

Examining the association between speed-accuracy trade-offs and psychopathy among male offenders in a facial affect recognition task.

Despite a large body of work examining the relationship between facial affect recognition and psychopathy, there is little consensus regarding the nature of emotion processing in such individuals. Although most previous studies have reported an association between psychopathy and some facial affect recognition deficits, results are mixed regarding which specific emotions are related to deficient recognition for these individuals. The current study aims to examine speed-accuracy trade-offs in psychopathy. Participants were 139 incarcerated adult male offenders assessed using the Psychopathy Checklist-Revised. Analyses demonstrated a 3-way interaction between psychopathy, response time, and level of stimulus expression for happiness in which psychopathy mitigated the relationship between response time and level of expression on accuracy. However, the overall pattern of findings does not suggest that speed-accuracy trade-offs are a central component of facial affect recognition in psychopathy. The theoretical implications of current findings are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Facial Affect Recognition in Depression Using Human Avatars

This research assesses facial emotion recognition in depressed patients using a novel dynamic virtual face (DVF) collection. The participant sample comprised 54 stable depressed patients against 54 healthy controls. The experiment entailed a non-immersive virtual reality task of recognizing emotions with DVFs representing the six basic emotions. Depressed patients exhibited a deficit in facial affect recognition in comparison to healthy controls. The average recognition score for healthy controls was 88.19%, while the score was 75.17% for the depression group. Gender and educational level showed no influence on the recognition rates in depressed patients. As for age, the worst results were found in older patients as compared to other cohorts. The average recognition rate for the younger group was 84.18%, 78.63% for the middle-aged group, and 61.97% for the older group, with average reaction times of 4.00 s, 4.07 s, and 6.04 s, respectively.

Difficulties in facial emotion recognition: taking psychopathic and alexithymic traits into account

BackgroundAlexithymic and psychopathic traits are closely associated, but distinct constructs. Both have been associated with facial emotion processing deficits reflecting empathy deficits, however the underlying mechanism contributing to these deficits is not well-understood.MethodsThis study investigated facial emotion recognition performance in a non-clinical sample (N = 110) including both male and female participants, with varying levels of psychopathic and alexithymic traits. Facial emotion recognition was assessed using a computerized task, that presented different expressions depicting five emotional states (pain, fear, sadness, anger, happiness) and neutral expressions.ResultsResults suggest that the high psychopathic traits group reported lower accuracy compared to the low psychopathic traits group, indicating a more generalized deficit in facial affect recognition, across all emotions. The alexithymic groups (high vs. low) on the other hand did not differ in their performance on the task for any of the emotions presented.ConclusionThese findings add to the current body of research regarding face processing categorization deficits in relation to psychopathic and alexithymic traits and can inform prevention and intervention efforts that aim to facilitate facial emotion recognition in individuals with these personality traits.

Emotional processing intervention (EMOPRINT): A blinded randomized control trial to treat facial affect recognition deficits in multiple sclerosis

ObjectiveFacial affect recognition deficits have been noted in persons with MS, however there is no treatment for these impairments. We investigated the efficacy of the Emotional Processing Intervention (EMOPRINT), a 12-session behavioral intervention teaching facial affect recognition skills and mimicry to improve facial affect recognition abilities in persons with MS. MethodsThis double blind, placebo-controlled, randomized clinical trial with two time points (pre-treatment; post-treatment) included 36 participants with clinically definite MS, 21 in the treatment group and 15 in the placebo control group. Participants completed a pre-test and post-test neuropsychological assessment, which consisted of tasks of facial affect recognition (primary outcome measure) and questionnaires to assess quality of life and emotional functioning (secondary outcome measures). We hypothesized that improvements in facial affect recognition skills would be observed following treatment. We also examined changes to quality of life and social functioning. Changes in outcome measures were analyzed using a mixed-method analysis of variance. ResultsThe treatment group showed significantly improved facial affect recognition skills relative to the placebo group post-treatment, F(1,34)=5.91, p=.022, partial ꞃ2=0.146. No significant change was noted on secondary outcomes. The majority of the participants in the intervention group reported that the intervention was helpful and that they used the skills learned in their daily interactions. ConclusionEMOPRINT is effective for improving facial affect recognition skills in MS.

Social Cognition and Interaction Training (SCIT) versus Training in Affect Recognition (TAR) in patients with schizophrenia: A randomized controlled trial

IntroductionTraining in Affect Recognition (TAR) is a “targeted” and computer-aided program that has been shown to effectively attenuate facial affect recognition deficits and improve social functioning in patients with schizophrenia. Social Cognition and Interaction Training (SCIT) is a group “broad-based” intervention, that has also been shown to improve emotion recognition, theory of mind (ToM), and social functioning. To date, no study has compared the efficacy of two different social cognitive interventions. ObjectivesWe aim to compare the efficacy of TAR and SCIT on schizophrenia patients’ performance on facial affect recognition, theory of mind, attributional style and social functioning before, after treatment, and three months thereafter. MethodsOne hundred outpatients with a diagnosis of schizophrenia were randomly assigned to the TAR or SCIT condition and completed pre- (T0) and posttreatment (T1) assessments and a 3-month follow up (T2) of emotion recognition (ER-40), theory of mind (Hinting Task), attributional style (AIHQ) and social functioning (PSP). ResultsThe entire sample, receiving TAR or SCIT, showed improvements in theory of mind, attributional style, clinical symptoms and social functioning. This effect was maintained at three-months. The TAR intervention was more efficacious than the SCIT program in improving the recognition of facial emotions (ER-40). The TAR intervention also demonstrated a lower drop-out rate than the SCIT intervention. ConclusionsThere were improvements in social cognition, symptomatology and functioning of patients in the entire sample, receiving SCIT or TAR. Both TAR and SCIT appear as valuable treatments for people with schizophrenia and social cognitive deficits.

Social cognition and major depressive disorder: impact on psychosocial function and therapeutic opportunities

AimsThis poster aims to examine the impact of social cognitive deficits on psychosocial functioning in depressed patients, as well as summarise the utility of various evidence-based therapeutic interventions employed to target these deficits. The stated hypotheses were twofold: (1) that social cognitive impairment in major depressive disorder will correlate with poorer psychosocial functioning; and (2) that these deficits will respond to existing anti-depressant therapies.BackgroundSocial cognition is an important adaptive trait that incorporates the identification, perception and interpretation of socially relevant information from the external world. It is frequently affected in major depressive disorder such that depressed patienMethodA review of the existing literature was performed in order to test the stated hypotheses. Pertinent sources were identified via the MEDLINE, EMBASE, PsycINFO, PubMed, Scopus and Google Scholar databases. A total of 107 studies met inclusion criteria for review.ResultImpaired social cognitive performance in depressed patients correlated with poorer psychosocial functioning across the key domains of general cognitive functioning and quality of life. Many current anti-depressant therapies were found to have a normalising effect on the social cognitive abilities of depressed subjects, both at a neural and functional level. Anti-depressant medications, in particular citalopram and reboxetine, appeared to correct facial affect recognition deficits, while a psychotherapeutic approach demonstrated improvements in theory of mind and negative interpretive bias. Data relating to other common treatments, such as electroconvulsive therapy, are limited.ConclusionThe impact and treatment of social cognitive deficits in major depressive disorder is an important emerging field. The social cognitive deficits evident in depressed patients are sometimes subtle, but afford a significant functional impact. Additionally, it appears these impairments are at least partially reversible using anti-depressants or psychotherapy.

Facial Affect Recognition by Patients with Schizophrenia Using Human Avatars

People with schizophrenia have difficulty recognizing the emotions in the facial expressions of others, which affects their social interaction and functioning in the community. Static stimuli such as photographs have been used traditionally to examine deficiencies in the recognition of emotions in patients with schizophrenia, which has been criticized by some authors for lacking the dynamism that real facial stimuli have. With the aim of overcoming these drawbacks, in recent years, the creation and validation of virtual humans has been developed. This work presents the results of a study that evaluated facial recognition of emotions through a new set of dynamic virtual humans previously designed by the research team, in patients diagnosed of schizophrenia. The study included 56 stable patients, compared with 56 healthy controls. Our results showed that patients with schizophrenia present a deficit in facial affect recognition, compared to healthy controls (average hit rate 71.6% for patients vs 90.0% for controls). Facial expressions with greater dynamism (compared to less dynamic ones), as well as those presented from frontal view (compared to profile view) were better recognized in both groups. Regarding clinical and sociodemographic variables, the number of hospitalizations throughout life did not correlate with recognition rates. There was also no correlation between functioning or quality of life and recognition. A trend showed a reduction in the emotional recognition rate as a result of increases in Positive and Negative Syndrome Scale (PANSS), being statistically significant for negative PANSS. Patients presented a learning effect during the progression of the task, slightly greater in comparison to the control group. This finding is relevant when designing training interventions for people with schizophrenia. Maintaining the attention of patients and getting them to improve in the proposed tasks is a challenge for today’s psychiatry.

The relationship between vocal affect recognition and psychosocial functioning for people with moderate to severe traumatic brain injury: a systematic review

AbstractThe purpose of this review was to explore how vocal affect recognition deficits impact the psychosocial functioning of people with moderate to severe traumatic brain injury (TBI). A systematic review following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines was conducted, whereby six databases were searched, with additional hand searching of key journals also completed. The search identified 1847 records after duplicates were removed, and 1749 were excluded through title and abstract screening. After full text screening of 65 peer-reviewed articles published between January 1999 and August 2019, only five met inclusion criteria. The methodological quality of selected studies was assessed using the Mixed Methods Appraisal Tool (MMAT) Version 2018 with a fair level of agreement reached. A narrative synthesis of the results was completed, exploring vocal affect recognition and psychosocial functioning of people with moderate to severe TBI, including aspects of social cognition (i.e., empathy; Theory of Mind) and social behaviour. Results of the review were limited by a paucity of research in this area, a lack of high-level evidence, and wide variation in the outcome measures used. More rigorous study designs are required to establish more conclusive evidence regarding the degree and direction of the association between vocal affect recognition and aspects of psychosocial functioning. This review is registered with Prospero.

QOL-15. NEURAL NETWORK INTEGRITY FOR FACIAL AFFECT RECOGNITION IN SURVIVORS OF MEDULLOBLASTOMA

BACKGROUNDMedulloblastoma survivors are at risk for social deficits, yet underlying mechanisms are poorly understood.METHODSFacial affect recognition was assessed in 50 medulloblastoma survivors treated with craniospinal radiation (median[range] 21.4[12.5–30.9] years old, 11.0[5.7–22.6] years since diagnosis) and 56 non-cancer age-, sex-, and race-matched controls. Brain activation and connectivity in core regions/nodes of the face perception network (fusiform gyri, occipital gyri, superior temporal sulcus) were examined using structural and functional neuroimaging. Structural networks were constructed from diffusion tensor imaging (DTI) data and individual node strength and efficiency were assessed. Functional MRI (fMRI) was conducted using a 1-back facial affect recognition task with assessment of regional differences in task-related cerebral blood flow (BOLD). Standardized neurocognitive testing was completed with 24 hours of brain imaging.RESULTSMedulloblastoma survivors performed worse on a behavioral measure of facial affect recognition (P=0.003) compared to matched controls. During the facial affect recognition task, controls demonstrated greater BOLD activation of the left and right fusiform gyri and the left and right middle occipital gyri compared to survivors (P’s<0.05, corrected for multiple comparisons). DTI indicated weaker core node strength in survivors in the right lateral occipital gyri (P=0.02) and efficiency was lower in the left (P=0.01) and right (P=0.03) occipital gyri compared to controls.CONCLUSIONSMedulloblastoma survivors have deficits in facial affect recognition and reduced activation and efficiency in brain regions comprising the face perception network compared to matched controls. Interventions targeting this specific skill and neural network may improve social functioning in survivors.

Examining the link between facial affect recognition and violent offending: A comparison between web‐recruited volunteers with histories of violent and non‐violent offending

The link between facial affect recognition and criminal justice involvement has been extensively researched, yet there are virtually no data on the capacity for facial affect recognition in post-incar+cerated individuals, and the results of many studies are limited due to a narrow focus on psychopathy rather than offence category. To test the first hypothesis that individuals reporting a history of a violent offence would show a deficit in facial affect recognition and the second hypothesis that the violent offender's deficit would be exclusive to recognition of negative expressions, not affecting positive or neutral expressions. Post-incarcerated individuals (N = 298) were recruited online through Qualtrics and completed questionnaires assessing their criminal justice background and demographics. They completed measures of facial affect recognition, anxiety and depression, and components of aggression. A logistic regression, including sex, ethnicity, age and years of education and depression/anxiety scores, indicated that committing a violent offence was independently associated with lower facial affect recognition scores as well as male gender and a trait-based propensity towards physical aggression, but no other co-variable. These data provided no evidence that this deficit was specific to negative emotions. Our study is one of the first to examine facial affect recognition in a post-incarcerated sample. It suggests that deficits in facial affect recognition, already well documented among violent prisoners, persist. While acknowledging that these may be relatively fixed characteristics, this study also suggests that, for these people, nothing happening during their imprisonment was touching this. Improving capacity in facial affect recognition should be considered as a target of intervention for violent offenders, developing or revising in-prison programmes as required.

Trait Anger Moderates the Relation Between Facial Affect Recognition Ability and Perpetration of Male-to-Female Physical and Psychological Intimate Partner Aggression

Researchers have sought to identify deficits in affect recognition as a precipitating factor in intimate partner aggression (IPA) perpetration, but results from these studies have produced mixed findings. This may be due to the unlikelihood that deficits in affect recognition abilities would prompt perpetration of IPA without affective predispositions toward aggression, such as trait anger. The current study sought to examine the relation between negative affect recognition ability and men’s past perpetration of physical and psychological IPA across levels of trait anger. Heterosexual couples (N = 83) completed self-report measures regarding the frequency of male-to-female IPA perpetration within their relationship. Additionally, males completed measures of trait anger and were administered a facial affect recognition test. Decreased ability in decoding negative facial affect was associated with increased perpetration of physical and psychological IPA, but only for men high in trait anger. There was no relation between negative facial affect recognition ability and IPA perpetration at low levels of trait anger. Results from this study indicated that the highest rates of physical and psychological IPA perpetration within the sample were among those with co-occurring high trait anger and decreased ability to decode negative facial affect. Our findings suggest that perpetration of IPA is associated with an interaction of affective traits and deficits in social cognitive processing. Treatments aimed at reducing aggression and violence among intimate partners would benefit from improving affect recognition when high trait anger is present.

Associations between facial affect recognition and neurocognition in subjects at ultra-high risk for psychosis: A case-control study

The nature of facial affect recognition (FAR) deficits in subjects at ultra-high risk (UHR) for psychosis remains unclear. In schizophrenia, associations between FAR impairment and poor neurocognition have been demonstrated meta-analytically, but this potential link is understudied in the UHR population. Our study investigated a cross-sectional sample of UHR subjects (n = 22) and healthy controls (n = 50), with the Degraded Facial Affect Recognition (DFAR) Task and a neurocognitive test battery. Our primary aims were 1. to examine associations between FAR and neurocognition in UHR subjects and 2. to examine if associations differed between cases and controls. The secondary aim was to examine group differences in FAR and neurocognitive performance. In UHR subjects, FAR was significantly associated with working memory, a neurocognitive composite score and intelligence, and at trend level with most other assessed neurocognitive domains, with moderate to large effect sizes. There were no significant associations in controls. Associations between FAR and working memory and the neurocognitive composite score differed significantly between cases and controls. UHR subjects did not differ from controls on DFAR Task performance but showed significant deficits in three of six neurocognitive domains. Results may suggest that FAR is associated with working memory in UHR subjects, possibly reflecting a neurocognitive compensatory mechanism.

Are emotion recognition abilities intact in pediatric ADHD?

Extant studies suggest that children with attention-deficit/hyperactivity disorder (ADHD) may make more errors and respond more slowly on tasks that require them to identify emotions based on facial affect. It is unclear, however, whether these findings reflect a unique deficit in emotion recognition, or more general difficulty with choice-response tasks (i.e., tasks that require participants to select among a set of competing options). In addition, ADHD is associated with executive dysfunction, but there is inconsistent evidence regarding the extent to which top-down cognitive control is involved in emotion recognition. The current study used a series of four counterbalanced tasks to systematically manipulate emotional content and working memory demands to determine (a) whether children with ADHD exhibit a unique facial affect recognition deficit and (b) the extent to which facial affect recognition is an automatic versus controlled process that depends in part on working memory. Bayesian results from a carefully phenotyped sample of 64 children ages 8 to 13 (M = 10.42, SD = 1.56; 26 girls; 67% Caucasian/non-Hispanic) with ADHD (n = 35) and without ADHD (n = 29) indicated that working memory is involved in children's ability to efficiently infer emotional state from facial affect (BF₁₀= 4.59 × 10¹⁴). Importantly, there was significant evidence against deficits in emotion recognition for children with ADHD. The ADHD/non-ADHD groups were statistically equivalent in terms of recognition accuracy (BF₀₁ = 1.32 × 10⁵⁴, d = -0.18), and the ADHD group's slower recognition speed was parsimoniously explained by difficulty with choice-response tasks rather than unique to emotional stimuli (BF₁₀ = 3.23, d = 0.31). These findings suggest that emotion recognition abilities are intact in children with ADHD, and highlight the need to control for impaired bottom-up (choice-response) and top-down abilities (working memory) when investigating emotional functioning in ADHD. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Community Integration in Traumatic Brain Injury: The Contributing Factor of Affect Recognition Deficits.

Individuals with traumatic brain injury (TBI) can experience social isolation, which is damaging to well-being and counterproductive to successful rehabilitation. It has been proposed that social cognitive deficits that commonly result from TBI may contribute to weakened social integration. However, the consequences of specific social cognitive deficits in TBI are still being delineated. The current work sought to better characterize the relationship between community integration and facial affect recognition (FAR) in TBI. A total of 27 participants with moderate to severe TBI and 30 healthy controls (HCs) completed two tests of FAR, which employed either static photographic stimuli or dynamic video stimuli (The Awareness of Social Inference Test). The Community Integration Questionnaire was also administered to participants. Participants with TBI were significantly impaired on both the static and dynamic FAR measures, yet the deficits were most pronounced within the dynamic task. Furthermore, participants with TBI reported lower community integration compared with HCs. FAR was positively associated with community integration in both groups, such that participants with proficient affect recognition skills were better integrated into their communities. FAR deficits may contribute to the lack of community integration often observed in TBI; thus, interventions designed to improve FAR may be beneficial to this population's ability to successfully reintegrate into society.

A systematic review of the impact of social cognitive deficits on psychosocial functioning in major depressive disorder and opportunities for therapeutic intervention

Social cognition is the ability to identify, perceive and interpret socially relevant information from the external world. It is an important adaptive trait, but is frequently affected in major depressive disorder by a mood-congruent interpretive bias. The present review examined the existing body of literature to determine (i) the impact social cognitive deficits in depression have on psychosocial functioning; and (ii) the utility of psychotropic, psychological and procedural interventions employed to target these deficits. A total of 107 studies met inclusion criteria for review. Social cognitive performance was found to adversely impact depressed patients’ psychosocial functioning across the key domains of general cognitive functioning and quality of life. Secondly, many current therapies were found to have a normalising effect on the social cognitive abilities of subjects with major depressive disorder, both at a neural and functional level. In particular, certain anti-depressant medications corrected facial affect recognition deficits, while several psychotherapeutic approaches improved impairments in theory of mind and negative interpretive bias.

Event-Related Potentials in Response to Facial Affect Recognition in Patients with Schizophrenia

In the identification of face expressions related to certain emotions, certain parameters of event-related potentials (ERPs) can be interpreted as the respective indices. Patients with schizophrenia exhibit deficits in facial affect recognition at both behavioral and neural levels. We examined face expression-sensitive ERP components, N170 and N250, which are mostly related to encoding and decoding of the facial emotions, respectively, in 10 patients with schizophrenia and 10 healthy adults matched in age and gender. The mean amplitude and peak latency of the N170 and N250 waveforms, induced by visual stimuli in the form of happy, sad, fearful, and neutral face images, were measured and compared in these two groups. In the patient group, the mean amplitude of the N250 was higher in the right hemisphere (–1.402 mV on average) compared to that in the left hemisphere (–0.814 mV). The independent-sample t-test revealed that the N250 latencies were significantly longer in the patient group compared to those in the normal group for all four emotions. We, however, find no significant differences in the mean amplitude and peak latency of the N170 waveform between the two groups. Our study shows that decoding of the facial expressions in patients with schizophrenia is clearly impaired, which may contribute to cognitive and behavioral symptoms of the disease.

White matter correlates of different aspects of facial affect recognition impairment following traumatic brain injury

ABSTRACTAlthough facial affect recognition deficits are well documented in individuals with moderate-to-severe traumatic brain injury (TBI), little research has examined the neural mechanisms underlying these impairments. Here, we use diffusion tensor imaging (DTI), specifically the scalars fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD), to examine relationships between regional white-matter integrity and two facial affect sub-skills: perceptual affect recognition abilities (measured by an affect matching task) and verbal categorization of facial affect (measured by an affect labeling task). Our results showed that, within the TBI group, higher levels of white-matter integrity in tracts involved in affect recognition (inferior fronto-occipital, inferior longitudinal, and uncinate fasciculi) were associated with better performance on both tasks. Verbal categorization skills were specifically and positively correlated with integrity of the left uncinate fasciculus. Moreover, we observed a striking lateralization effect, with perceptual abilities having an almost exclusive relationship with integrity of right hemisphere tracts, while verbal abilities were associated with both left and right hemisphere integrity. The findings advance our understanding of the neurobiological mechanisms that underlie subcomponents of facial affect recognition and lead to different patterns of facial affect recognition impairment in adults with TBI.

Triarchic psychopathy and deficits in facial affect recognition

Impaired socialization due to amygdala dysfunction has been proposed as a factor underlying psychopathy. Supporting this hypothesis, some research indicates that psychopathy is associated with deficits in facial affect recognition, but other studies have failed to find such a relationship. This study investigated whether healthy young adults elevated in psychopathic traits displayed deficits in identifying facial affective displays overall as well as deficits specific to fear recognition. Facial affect recognition was measured in a sample of 110 undergraduate men (n = 36) and women (n = 74). Participants completed the Triarchic Psychopathy Measure, and participants' eye gaze was measured using ASL Eye Trac 6. The facial affect recognition task was created using the NimStim facial expression stimuli. Individuals elevated in psychopathic traits did not display deficits in recognition of emotional faces overall or for fearful faces compared to individuals lower in psychopathic traits. However, meanness was negatively correlated with fear identification. We conclude that deficient emotion processing in psychopathic individuals may be specific to ambiguous affective expressions. We discuss implications for the study of psychopathy and emotion processing.

Functional neural correlates of facial affect recognition impairment following TBI.

Facial affect recognition deficits following traumatic brain injury (TBI) have been well documented, as has their relationship with impairment in several other cognitive domains. However, little is known about the neurobiological mechanisms underlying affect recognition deficits, in particular mechanisms underlying different aspects of facial affect recognition (e.g., perceptual and interpretive processes). In the current study, 33 adults with moderate-to-severe TBI and 24 demographically matched healthy comparison (HC) participants completed an fMRI facial affect recognition study. While in the scanner, participants were asked to match the affect of a target face to either (a) one of two faces differing in affect (perceptual condition) or (b) one of two written affect labels (interpretative condition). In both groups we found activations in regions typically involved in affect recognition. Our results revealed that in the perceptual condition individuals with TBI tended to activate the left dorsolateral prefrontal cortex less than HCs, and within the HC group individuals with higher perceptual affect recognition scores showed higher levels of activation in the same brain region. Individuals with TBI who were specifically impaired at interpretative affect recognition showed less activation than HCs in the right fusiform gyrus. Moreover, in the labeling condition individuals with TBI tended to de-activate medial prefrontal regions less than HCs. A region of interest analysis revealed that individuals with TBI showed significantly less activation than HCs in the FFA for all the contrasts of interest. Our results suggest involvement of several brain regions in facial affect recognition impairment post TBI, and provide neurobiological support for the notion that distinct aspects of facial affect recognition can be differentially impaired following TBI.