Psychiatry - Research Publications

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    Brain Correlates of Suicide Attempt in 18,925 Participants Across 18 International Cohorts
    Campos, A ; Thompson, PM ; Veltman, DJ ; Pozzi, E ; van Veltzen, LS ; Jahanshad, N ; Adams, MJ ; Baune, BT ; Berger, K ; Brosch, K ; Bulow, R ; Connolly, CG ; Dannlowski, U ; Davey, CG ; de Zubicaray, G ; Dima, D ; Erwin-Grabner, T ; Evans, JW ; Fu, CHY ; Gotlib, IH ; Goya-Maldonado, R ; Grabe, HJ ; Grotegerd, D ; Harris, MA ; Harrison, BJ ; Hatton, SN ; Hermesdorf, M ; Hickie, IB ; Ho, TC ; Kircher, T ; Krug, A ; Lagopoulos, J ; Lemke, H ; McMahon, K ; MacMaster, FP ; Martin, NG ; McIntosh, AM ; Medland, SE ; Meinert, S ; Meller, T ; Nenadic, I ; Opel, N ; Redlich, R ; Reneman, L ; Repple, J ; Sacchet, MD ; Schmitt, S ; Schrantee, A ; Sim, K ; Singh, A ; Stein, F ; Strike, LT ; van Der Wee, NJA ; van Der Werff, SJA ; Volzke, H ; Waltemate, L ; Whalley, HC ; Wittfeld, K ; Wright, MJ ; Yang, TT ; Zarate, CA ; Schmaal, L ; Renteria, ME (ELSEVIER SCIENCE INC, 2021-08-15)
    BACKGROUND: Neuroimaging studies of suicidal behavior have so far been conducted in small samples, prone to biases and false-positive associations, yielding inconsistent results. The ENIGMA-MDD Working Group aims to address the issues of poor replicability and comparability by coordinating harmonized analyses across neuroimaging studies of major depressive disorder and related phenotypes, including suicidal behavior. METHODS: Here, we pooled data from 18 international cohorts with neuroimaging and clinical measurements in 18,925 participants (12,477 healthy control subjects and 6448 people with depression, of whom 694 had attempted suicide). We compared regional cortical thickness and surface area and measures of subcortical, lateral ventricular, and intracranial volumes between suicide attempters, clinical control subjects (nonattempters with depression), and healthy control subjects. RESULTS: We identified 25 regions of interest with statistically significant (false discovery rate < .05) differences between groups. Post hoc examinations identified neuroimaging markers associated with suicide attempt including smaller volumes of the left and right thalamus and the right pallidum and lower surface area of the left inferior parietal lobe. CONCLUSIONS: This study addresses the lack of replicability and consistency in several previously published neuroimaging studies of suicide attempt and further demonstrates the need for well-powered samples and collaborative efforts. Our results highlight the potential involvement of the thalamus, a structure viewed historically as a passive gateway in the brain, and the pallidum, a region linked to reward response and positive affect. Future functional and connectivity studies of suicidal behaviors may focus on understanding how these regions relate to the neurobiological mechanisms of suicide attempt risk.
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    Editorial: Early Intervention in Mood Disorders
    Marwaha, S ; Brown, JSL ; Davey, CG (FRONTIERS MEDIA SA, 2021-12-09)
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    Altered resting-state functional connectome in major depressive disorder: a mega-analysis from the PsyMRI consortium
    Javaheripour, N ; Li, M ; Chand, T ; Krug, A ; Kircher, T ; Dannlowski, U ; Nenadic, I ; Hamilton, JP ; Sacchet, MD ; Gotlib, IH ; Walter, H ; Frodl, T ; Grimm, S ; Harrison, BJ ; Wolf, CR ; Olbrich, S ; van Wingen, G ; Pezawas, L ; Parker, G ; Hyett, MP ; Saemann, PG ; Hahn, T ; Steinstraeter, O ; Jansen, A ; Yuksel, D ; Kaempe, R ; Davey, CG ; Meyer, B ; Bartova, L ; Croy, I ; Walter, M ; Wagner, G (SPRINGERNATURE, 2021-10-07)
    Major depressive disorder (MDD) is associated with abnormal neural circuitry. It can be measured by assessing functional connectivity (FC) at resting-state functional MRI, that may help identifying neural markers of MDD and provide further efficient diagnosis and monitor treatment outcomes. The main aim of the present study is to investigate, in an unbiased way, functional alterations in patients with MDD using a large multi-center dataset from the PsyMRI consortium including 1546 participants from 19 centers ( www.psymri.com ). After applying strict exclusion criteria, the final sample consisted of 606 MDD patients (age: 35.8 ± 11.9 y.o.; females: 60.7%) and 476 healthy participants (age: 33.3 ± 11.0 y.o.; females: 56.7%). We found significant relative hypoconnectivity within somatosensory motor (SMN), salience (SN) networks and between SMN, SN, dorsal attention (DAN), and visual (VN) networks in MDD patients. No significant differences were detected within the default mode (DMN) and frontoparietal networks (FPN). In addition, alterations in network organization were observed in terms of significantly lower network segregation of SMN in MDD patients. Although medicated patients showed significantly lower FC within DMN, FPN, and SN than unmedicated patients, there were no differences between medicated and unmedicated groups in terms of network organization in SMN. We conclude that the network organization of cortical networks, involved in processing of sensory information, might be a more stable neuroimaging marker for MDD than previously assumed alterations in higher-order neural networks like DMN and FPN.
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    Neural mediators of subjective and autonomic responding during threat learning and regulation
    Savage, HS ; Davey, CG ; Wager, TD ; Garfinkel, SN ; Moffat, BA ; Glarin, RK ; Harrison, BJ (ACADEMIC PRESS INC ELSEVIER SCIENCE, 2021-12-15)
    Threat learning elicits robust changes across multiple affective domains, including changes in autonomic indices and subjective reports of fear and anxiety. It has been argued that the underlying causes of such changes may be dissociable at a neural level, but there is currently limited evidence to support this notion. To address this, we examined the neural mediators of trial-by-trial skin conductance responses (SCR), and subjective reports of anxious arousal and valence in participants (n = 27; 17 females) performing a threat reversal task during ultra-high field functional magnetic resonance imaging. This allowed us to identify brain mediators during initial threat learning and subsequent threat reversal. Significant neural mediators of anxious arousal during threat learning included the dorsal anterior cingulate, anterior insula cortex (AIC), and ventromedial prefrontal cortex (vmPFC), subcortical regions including the amygdala, ventral striatum, caudate and putamen, and brain-stem regions including the pons and midbrain. By comparison, autonomic changes (SCR) were mediated by a subset of regions embedded within this broader circuitry that included the caudate, putamen and thalamus, and two distinct clusters within the vmPFC. The neural mediators of subjective negative valence showed prominent effects in posterior cortical regions and, with the exception of the AIC, did not overlap with threat learning task effects. During threat reversal, positive mediators of both subjective anxious arousal and valence mapped to the default mode network; this included the vmPFC, posterior cingulate, temporoparietal junction, and angular gyrus. Decreased SCR during threat reversal was positively mediated by regions including the mid cingulate, AIC, two sub-regions of vmPFC, the thalamus, and the hippocampus. Our findings add novel evidence to support distinct underlying neural processes facilitating autonomic and subjective responding during threat learning and threat reversal. The results suggest that the brain systems engaged in threat learning mostly capture the subjective (anxious arousal) nature of the learning process, and that appropriate responding during threat reversal is facilitated by participants engaging self- and valence-based processes. Autonomic changes (SCR) appear to involve distinct facilitatory and regulatory contributions of vmPFC sub-regions.
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    Clarifying the neural substrates of threat and safety reversal learning in humans
    Savage, HS ; Davey, CG ; Fullana, MA ; Harrison, BJ (ACADEMIC PRESS INC ELSEVIER SCIENCE, 2020-02-15)
    Responding flexibly to sources of threat and safety is critical to the adaptive regulation of emotions, including fear. At a neural systems level, such flexibility is thought to rely on an extended neural circuitry involving the dorsal anterior cingulate cortex (dACC) and ventromedial prefrontal cortices (vmPFC), although precisely how this occurs remains unclear. Using a novel fear reversal task and functional magnetic resonance imaging (fMRI), we examined the neural correlates of threat and safety reversal learning and their associations with individual differences in anxious responding in a large sample of healthy adolescents and young adults. Overall, participants demonstrated successful threat and safety reversal learning, as indexed by subjective ratings. At a whole-brain level, threat reversal was associated with significant activation of the bilateral anterior insular cortex and dACC, in particular its rostral subregion. Conversely, safety reversal led to significant activation of the anterior vmPFC, together with posterior mid-line regions. Further analyses of regional responses suggested a more selective role for the rostral dACC in threat signal updating, as well as a direct association of its activity with participants' change in subjective anxious arousal to the reversed threat. Taken together, our findings complement existing neurocircuitry models of human fear regulation, particularly regarding the importance of midline cortical regions, and provide further insights into their specific contribution to flexible threat-safety signal processing. In particular, our results suggest that rostral dACC function may be more centrally involved in regulating levels of anxious arousal when flexibility is required. They also raise important questions regarding the vmPFC's role in safety learning, particularly involving its hypothesized subregional contributions to response inhibitory versus stimulus value processing functions.
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    Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group
    Opel, N ; Thalamuthu, A ; Milaneschi, Y ; Grotegerd, D ; Flint, C ; Leenings, R ; Goltermann, J ; Richter, M ; Hahn, T ; Woditsch, G ; Berger, K ; Hermesdorf, M ; McIntosh, A ; Whalley, HC ; Harris, MA ; MacMaster, FP ; Walter, H ; Veer, IM ; Frodl, T ; Carballedo, A ; Krug, A ; Nenadic, I ; Kircher, T ; Aleman, A ; Groenewold, NA ; Stein, DJ ; Soares, JC ; Zunta-Soares, GB ; Mwangi, B ; Wu, M-J ; Walter, M ; Li, M ; Harrison, BJ ; Davey, CG ; Cullen, KR ; Klimes-Dougan, B ; Mueller, BA ; Saemann, PG ; Penninx, B ; Nawijn, L ; Veltman, DJ ; Aftanas, L ; Brak, I ; Filimonova, EA ; Osipov, EA ; Reneman, L ; Schrantee, A ; Grabe, HJ ; Van der Auwera, S ; Wittfeld, K ; Hosten, N ; Voelzke, H ; Sim, K ; Gotlib, IH ; Sacchet, MD ; Lagopoulos, J ; Hatton, SN ; Hickie, I ; Pozzi, E ; Thompson, PM ; Jahanshad, N ; Schmaal, L ; Baune, BT ; Dannlowski, U (SPRINGERNATURE, 2021-09)
    Emerging evidence suggests that obesity impacts brain physiology at multiple levels. Here we aimed to clarify the relationship between obesity and brain structure using structural MRI (n = 6420) and genetic data (n = 3907) from the ENIGMA Major Depressive Disorder (MDD) working group. Obesity (BMI > 30) was significantly associated with cortical and subcortical abnormalities in both mass-univariate and multivariate pattern recognition analyses independent of MDD diagnosis. The most pronounced effects were found for associations between obesity and lower temporo-frontal cortical thickness (maximum Cohen´s d (left fusiform gyrus) = -0.33). The observed regional distribution and effect size of cortical thickness reductions in obesity revealed considerable similarities with corresponding patterns of lower cortical thickness in previously published studies of neuropsychiatric disorders. A higher polygenic risk score for obesity significantly correlated with lower occipital surface area. In addition, a significant age-by-obesity interaction on cortical thickness emerged driven by lower thickness in older participants. Our findings suggest a neurobiological interaction between obesity and brain structure under physiological and pathological brain conditions.
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    Why Depressed Mood is Adaptive: A Numerical Proof of Principle for an Evolutionary Systems Theory of Depression.
    Constant, A ; Hesp, C ; Davey, CG ; Friston, KJ ; Badcock, PB (Ubiquity Press, Ltd., 2021)
    We provide a proof of principle for an evolutionary systems theory (EST) of depression. This theory suggests that normative depressive symptoms counter socioenvironmental volatility by increasing interpersonal support via social signalling and that this response depends upon the encoding of uncertainty about social contingencies, which can be targeted by neuromodulatory antidepressants. We simulated agents that committed to a series of decisions in a social two-arm bandit task before and after social adversity, which precipitated depressive symptoms. Responses to social adversity were modelled under various combinations of social support and pharmacotherapy. The normative depressive phenotype responded positively to social support and simulated treatments with antidepressants. Attracting social support and administering antidepressants also alleviated anhedonia and social withdrawal, speaking to improvements in interpersonal relationships. These results support the EST of depression by demonstrating that following adversity, normative depressed mood preserved social inclusion with appropriate interpersonal support or pharmacotherapy.
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    Self-other referential neural processing in social anxiety disorder and major depressive disorder
    Finlayson-Short, L ; Harrison, BJ ; Davey, C (ELSEVIER SCI LTD, 2021)
    BACKGROUND: Social anxiety disorder (SAD) and major depressive disorder (MDD) are highly comorbid and share impairments in self-referential and social processing. Many naturalistic judgements activate these processes concurrently, which can be referred to as "self-other referential processing". We sought to examine its neural correlates in young people with SAD and MDD using a novel experimental task. METHODS: Fifty six young people aged 16 to 25 with diagnoses of SAD and/or MDD (15 with SAD [M = 20.3 years, 60% female], 17 with MDD [M = 19.8 years, 53% female], 24 with comorbid SAD and MDD [M = 19.8 years, 67% female]) and 76 age and gender-matched healthy controls (HCs; M = 20.7 years, 66% female) completed a novel self-other referential processing fMRI task that involved rating how much one related to emotional faces in active conditions and judging how far apart each person's eyes were in control conditions. RESULTS: Participants with SAD had more and those with MDD had less activity in social cognitive areas than HCs when processing social information across all conditions and emotion types. Participants with comorbid SAD-MDD exhibited a distinct pattern of neural activity to patients with single diagnoses. Across the whole sample, the activation of reward system areas (the medial orbitofrontal cortex and caudate) in response to increasing relatedness correlated positively with a dimensional measure of social anxiety. CONCLUSIONS: Young people with SAD, MDD and comorbid SAD-MDD showed deficits in social processing, but they were not specifically related to self-other referential processing. Dimensional social anxiety symptoms were correlated with reward system activation, suggesting that such symptoms are associated with an overestimation of the hedonic value of social stimuli. These novel findings have implications for our understanding of the neural correlates of SAD and MDD, suggesting that alterations in social processing and reward functioning underlie the impairments in self and social processing that characterize both disorders.
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    Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders (May, 2020, 10.1038/s41380-020-0774-9)
    Opel, N ; Thalamuthu, A ; Milaneschi, Y ; Grotegerd, D ; Flint, C ; Leenings, R ; Goltermann, J ; Richter, M ; Hahn, T ; Woditsch, G ; Berger, K ; Hermesdorf, M ; McIntosh, A ; Whalley, HC ; Harris, MA ; MacMaster, FP ; Walter, H ; Veer, IM ; Frodl, T ; Carballedo, A ; Krug, A ; Nenadic, I ; Kircher, T ; Aleman, A ; Groenewold, NA ; Stein, DJ ; Soares, JC ; Zunta-Soares, GB ; Mwangi, B ; Wu, M-J ; Walter, M ; Li, M ; Harrison, BJ ; Davey, CG ; Cullen, KR ; Klimes-Dougan, B ; Mueller, BA ; Samann, PG ; Penninx, B ; Nawijn, L ; Veltman, DJ ; Aftanas, L ; Brak, IV ; Filimonova, EA ; Osipov, EA ; Reneman, L ; Schrantee, A ; Grabe, HJ ; van der Auwera, S ; Wittfeld, K ; Hosten, N ; Volzke, H ; Sim, K ; Gotlib, IH ; Sacchet, MD ; Lagopoulos, J ; Hatton, SN ; Hickie, I ; Pozzi, E ; Thompson, PM ; Jahanshad, N ; Schmaal, L ; Baune, BT ; Dannlowski, U (SPRINGERNATURE, 2021-12)
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    Taking Youth Suicide Prevention to the Schools: Pilot Evaluation of School-Based Clinician Outcomes and Perspectives of a Multi-Modal Program Including Post-Training Online Consultations for Management of Ongoing Suicide Risk
    Gwyther, K ; McKechnie, B ; Nicoll, H ; Gersh, E ; Davey, CG ; Robinson, J ; Mawson, E ; Crlenjak, C ; Rice, SM (MDPI, 2020-09)
    School-based youth-specific suicide prevention and early intervention initiatives are presently underdeveloped. The current study conducted a pilot evaluation of a multi-modal suicide prevention training program for school-based social workers, ‘Management of Youth Suicidality Training for Schools’ (MYSTS). The program comprised a two-day workshop and six fortnightly post-workshop webinar online consultations. Participants were 36 social workers (years’ experience M = 11.23, SD = 8.29) employed by the Department of Education in Tasmania, Australia. Outcomes were self-rated confidence, competence, and knowledge of self-harm in young people, and attitudes toward suicide prevention and suicide-related behaviors. Exploratory quantitative results indicated significant improvements with large effect sizes for participants’ self-reported competence (d = 1.33), and confidence (d = 1.29) to identify and respond therapeutically to youth suicidality following the workshop. Confidence remained significantly higher than baseline following the online consultations (d = 0.90). Qualitative analysis of online supervision consultations indicated key themes of accessibility, communication and information sharing, and clinical management. Participants endorsed the MYSTS package as well-presented, with relevant topics, and effective learning activities. This study highlights the need for continued supervisory or implementation support to practitioners following suicide prevention training initiatives and suggests web-based teleconference technology as a feasible strategy for this. Further evaluation of the MYSTS package, including a suitable comparison or control condition, is indicated.