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Although the cerebellum contributes to higher-order cognitive and emotional functions relevant to posttraumatic stress disorder (PTSD), prior research on cerebellar volume in PTSD is scant, particularly when considering subregions that differentially map on to motor, cognitive, and affective functions. In a sample of 4215 adults (PTSD n = 1642; Control n = 2573) across 40 sites from the ENIGMA-PGC PTSD working group, we employed a new state-of-the-art deep-learning based approach for automatic cerebellar parcellation to obtain volumetric estimates for the total cerebellum and 28 subregions. Linear mixed effects models controlling for age, gender, intracranial volume, and site were used to compare cerebellum volumes in PTSD compared to healthy controls (88% trauma-exposed). PTSD was associated with significant grey and white matter reductions of the cerebellum. Compared to controls, people with PTSD demonstrated smaller total cerebellum volume, as well as reduced volume in subregions primarily within the posterior lobe (lobule VIIB, crus II), vermis (VI, VIII), flocculonodular lobe (lobule X), and corpus medullare (all p-FDR < 0.05). Effects of PTSD on volume were consistent, and generally more robust, when examining symptom severity rather than diagnostic status. These findings implicate regionally specific cerebellar volumetric differences in the pathophysiology of PTSD. The cerebellum appears to play an important role in higher-order cognitive and emotional processes, far beyond its historical association with vestibulomotor function. Further examination of the cerebellum in trauma-related psychopathology will help to clarify how cerebellar structure and function may disrupt cognitive and affective processes at the center of translational models for PTSD.
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Cerebelo , Imagen por Resonancia Magnética , Trastornos por Estrés Postraumático , Humanos , Trastornos por Estrés Postraumático/patología , Trastornos por Estrés Postraumático/fisiopatología , Trastornos por Estrés Postraumático/diagnóstico por imagen , Cerebelo/patología , Cerebelo/diagnóstico por imagen , Femenino , Masculino , Adulto , Imagen por Resonancia Magnética/métodos , Persona de Mediana Edad , Sustancia Blanca/patología , Sustancia Blanca/diagnóstico por imagen , Sustancia Gris/patología , Tamaño de los Órganos , Aprendizaje ProfundoRESUMEN
Background: Intrusive traumatic re-experiencing domain (ITRED) was recently introduced as a novel perspective on posttraumatic psychopathology, proposing to focus research of posttraumatic stress disorder (PTSD) on the unique symptoms of intrusive and involuntary re-experiencing of the trauma, namely, intrusive memories, nightmares, and flashbacks. The aim of the present study was to explore ITRED from a neural network connectivity perspective. Methods: Data were collected from 9 sites taking part in the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) PTSD Consortium (n= 584) and included itemized PTSD symptom scores and resting-state functional connectivity (rsFC) data. We assessed the utility of rsFC in classifying PTSD, ITRED-only (no PTSD diagnosis), and trauma-exposed (TE)-only (no PTSD or ITRED) groups using a machine learning approach, examining well-known networks implicated in PTSD. A random forest classification model was built on a training set using cross-validation, and the averaged cross-validation model performance for classification was evaluated using the area under the curve. The model was tested using a fully independent portion of the data (test dataset), and the test area under the curve was evaluated. Results: rsFC signatures differentiated TE-only participants from PTSD and ITRED-only participants at about 60% accuracy. Conversely, rsFC signatures did not differentiate PTSD from ITRED-only individuals (45% accuracy). Common features differentiating TE-only participants from PTSD and ITRED-only participants mainly involved default mode network-related pathways. Some unique features, such as connectivity within the frontoparietal network, differentiated TE-only participants from one group (PTSD or ITRED-only) but to a lesser extent from the other group. Conclusions: Neural network connectivity supports ITRED as a novel neurobiologically based approach to classifying posttrauma psychopathology.
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Background: Alexithymia, an inability to recognise one's emotions, has been associated with trauma-exposure and posttraumatic stress disorder (PTSD). Previous research suggests involvement of the oxytocin system, and socio-emotional neural processes. However, the paucity of neurobiological research on alexithymia, particularly in trauma-exposed populations, warrants further investigation.Objective: Explore associations between alexithymia, endogenous oxytocin levels, and socio-emotional brain function and morphometry in a trauma-exposed sample.Method: Dutch trauma-exposed police officers with (n = 38; 18 females) and without PTSD (n = 40; 20 females) were included. Alexithymia was assessed with the Toronto Alexithymia Scale (TAS-20). Endogenous salivary oxytocin was assessed during rest, using radioimmunoassay. Amygdala and insula reactivity to socio-emotional stimuli were assessed with functional MRI, amygdala and insula grey matter volume were derived using Freesurfer.Results: Alexithymia was higher in PTSD patients compared to trauma-exposed controls (F(1,70) = 54.031, p < .001). Within PTSD patients, alexithymia was positively associated with PTSD severity (ρ(36) = 0.497, p = .002). Alexithymia was not associated with childhood trauma exposure (ß = 0.076, p = .509), police work-related trauma exposure (ß = -0.107, p = .355), oxytocin levels (ß = -0.164, p = .161), insula (ß = -0.170, p = .158) or amygdala (ß = -0.175, p = .135) reactivity, or amygdala volume (ß = 0.146, p = .209). Insula volume was positively associated with alexithymia (ß = 0.222, p = .016), though not significant after multiple testing corrections. Bayesian analyses supported a lack of associations.Conclusions: No convincing neurobiological correlates of alexithymia were observed with any of the markers included in the current study. Yet, the current study confirmed high levels of alexithymia in PTSD patients, independent of trauma-exposure, substantiating alexithymia's relevance in the clinical phenotype of PTSD.
Little is known about neurobiological correlates of alexithymia in trauma-exposed and posttraumatic stress disorder (PTSD) populations.In this highly trauma-exposed sample, alexithymia was associated with PTSD symptoms, but not with childhood or adult trauma exposure, suggesting alexithymia is not a direct consequence of trauma.Alexithymia was not convincingly associated with salivary oxytocin, amygdala and insula reactivity to socio-emotional stimuli, amygdala or insula grey matter volume.
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Trastornos por Estrés Postraumático , Femenino , Humanos , Trastornos por Estrés Postraumático/psicología , Síntomas Afectivos , Policia/psicología , Oxitocina , Teorema de Bayes , EmocionesRESUMEN
Background: During the COVID-19 pandemic, health-care workers (HCWs) may have been confronted with situations that may culminate in moral injury (MI). MI is the psychological distress that may result from perpetrating or witnessing actions that violate one's moral codes. Literature suggests that MI can be associated with mental health problems.Objective: We aimed to meta-analytically review the literature to investigate whether MI is associated with symptoms of posttraumatic stress disorder (PTSD), anxiety, depression, burnout, and suicidal ideation among active HCWs during the COVID-19 pandemic.Method: We searched eight databases for studies conducted after the onset of the COVID-19 pandemic up to 18 July 2023, and performed random-effects meta-analyses to examine the relationship between MI and various mental health outcomes.Results: We retrieved 33 studies from 13 countries, representing 31,849 individuals, and pooled 79 effect sizes. We found a positive association between MI and all investigated mental health problems (rs = .30-.41, all ps < .0001). Between-studies heterogeneity was significant. A higher percentage of nurses in the samples was associated with a stronger relationship between MI and depressive and anxiety symptoms. Samples with a higher percentage of HCWs providing direct care to patients with COVID-19 exhibited a smaller effect between MI and depressive and anxiety symptoms. We observed a stronger effect between MI and PTSD symptoms in US samples compared to non-US samples.Conclusion: We found that higher MI is moderately associated with symptoms of PTSD, anxiety, depression, burnout, and suicidal ideation among HCWs during the COVID-19 pandemic. Our findings carry limitations due to the array of MI scales employed, several of which were not specifically designed for HCWs, but underscore the need to mitigate the effect of potentially morally injurious events on the mental health of HCWs.
We conducted the first meta-analysis of moral injury and mental health among healthcare workers.Moral injury is moderately associated with symptoms of PTSD, depression, anxiety, burnout, and suicidal ideation.There was a stronger association between MI and anxiety and depressive symptoms for samples with more nurses.