Psychiatry - Research Publications

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    Predictors and consequences of health anxiety symptoms: a novel twin modeling study
    Lopez-Sola, C ; Bui, M ; Hopper, JL ; Fontenelle, LF ; Davey, CG ; Pantelis, C ; Alonso, P ; van den Heuvel, OA ; Harrison, BJ (WILEY, 2018-03)
    OBJECTIVE: The question of how to best conceptualize health anxiety (HA) from a diagnostic and etiological perspective remains debated. The aim was to examine the relationship between HA and the symptoms of anxiety and obsessive-compulsive-related disorders in a normative twin population. METHOD: Four hundred and ninety-six monozygotic adult twin pairs from the Australian Twin Registry participated in the study (age, 34.4 ± 7.72 years; 59% females). Validated scales were used to assess each domain. We applied a twin regression methodology-ICE FALCON-to determine whether there was evidence consistent with 'causal' relationships between HA and other symptoms by fitting and comparing model estimates. RESULTS: Estimates were consistent with higher levels of obsessing ('unwanted thoughts') (P = 0.008), social anxiety (P = 0.03), and body dysmorphic symptoms (P = 0.008) causing higher levels of HA symptoms, and with higher levels of HA symptoms causing higher levels of physical/somatic anxiety symptoms (P = 0.001). CONCLUSION: Obsessional thoughts, body dysmorphic concerns, and social anxiety symptoms may have a causal influence on HA. To report physical/somatic anxiety appears to be a consequence of the underlying presence of HA-related fears. Should our results be confirmed by longitudinal studies, the evaluation and treatment of HA may benefit from the consideration of these identified risk factors.
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    Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders
    Patel, Y ; Parker, N ; Shin, J ; Howard, D ; French, L ; Thomopoulos, SI ; Pozzi, E ; Abe, Y ; Abe, C ; Anticevic, A ; Alda, M ; Aleman, A ; Alloza, C ; Alonso-Lana, S ; Ameis, SH ; Anagnostou, E ; McIntosh, AA ; Arango, C ; Arnold, PD ; Asherson, P ; Assogna, F ; Auzias, G ; Ayesa-Arriola, R ; Bakker, G ; Banaj, N ; Banaschewski, T ; Bandeira, CE ; Baranov, A ; Bargallo, N ; Bau, CHD ; Baumeister, S ; Baune, BT ; Bellgrove, MA ; Benedetti, F ; Bertolino, A ; Boedhoe, PSW ; Boks, M ; Bollettini, I ; del Mar Bonnin, C ; Borgers, T ; Borgwardt, S ; Brandeis, D ; Brennan, BP ; Bruggemann, JM ; Bulow, R ; Busatto, GF ; Calderoni, S ; Calhoun, VD ; Calvo, R ; Canales-Rodriguez, EJ ; Cannon, DM ; Carr, VJ ; Cascella, N ; Cercignani, M ; Chaim-Avancini, TM ; Christakou, A ; Coghill, D ; Conzelmann, A ; Crespo-Facorro, B ; Cubillo, AI ; Cullen, KR ; Cupertino, RB ; Daly, E ; Dannlowski, U ; Davey, CG ; Denys, D ; Deruelle, C ; Di Giorgio, A ; Dickie, EW ; Dima, D ; Dohm, K ; Ehrlich, S ; Ely, BA ; Erwin-Grabner, T ; Ethofer, T ; Fair, DA ; Fallgatter, AJ ; Faraone, SV ; Fatjo-Vilas, M ; Fedor, JM ; Fitzgerald, KD ; Ford, JM ; Frodl, T ; Fu, CHY ; Fullerton, JM ; Gabel, MC ; Glahn, DC ; Roberts, G ; Gogberashvili, T ; Goikolea, JM ; Gotlib, IH ; Goya-Maldonado, R ; Grabe, HJ ; Green, MJ ; Grevet, EH ; Groenewold, NA ; Grotegerd, D ; Gruber, O ; Gruner, P ; Guerrero-Pedraza, A ; Gur, RE ; Gur, RC ; Haar, S ; Haarman, BCM ; Haavik, J ; Hahn, T ; Hajek, T ; Harrison, BJ ; Harrison, NA ; Hartman, CA ; Whalley, HC ; Heslenfeld, DJ ; Hibar, DP ; Hilland, E ; Hirano, Y ; Ho, TC ; Hoekstra, PJ ; Hoekstra, L ; Hohmann, S ; Hong, LE ; Hoschl, C ; Hovik, MF ; Howells, FM ; Nenadic, I ; Jalbrzikowski, M ; James, AC ; Janssen, J ; Jaspers-Fayer, F ; Xu, J ; Jonassen, R ; Karkashadze, G ; King, JA ; Kircher, T ; Kirschner, M ; Koch, K ; Kochunov, P ; Kohls, G ; Konrad, K ; Kramer, B ; Krug, A ; Kuntsi, J ; Kwon, JS ; Landen, M ; Landro, NI ; Lazaro, L ; Lebedeva, IS ; Leehr, EJ ; Lera-Miguel, S ; Lesch, K-P ; Lochner, C ; Louza, MR ; Luna, B ; Lundervold, AJ ; MacMaster, FP ; Maglanoc, LA ; Malpas, CB ; Portella, MJ ; Marsh, R ; Martyn, FM ; Mataix-Cols, D ; Mathalon, DH ; McCarthy, H ; McDonald, C ; McPhilemy, G ; Meinert, S ; Menchon, JM ; Minuzzi, L ; Mitchell, PB ; Moreno, C ; Morgado, P ; Muratori, F ; Murphy, CM ; Murphy, D ; Mwangi, B ; Nabulsi, L ; Nakagawa, A ; Nakamae, T ; Namazova, L ; Narayanaswamy, J ; Jahanshad, N ; Nguyen, DD ; Nicolau, R ; O'Gorman Tuura, RL ; O'Hearn, K ; Oosterlaan, J ; Opel, N ; Ophoff, RA ; Oranje, B ; Garcia de la Foz, VO ; Overs, BJ ; Paloyelis, Y ; Pantelis, C ; Parellada, M ; Pauli, P ; Pico-Perez, M ; Picon, FA ; Piras, F ; Piras, F ; Plessen, KJ ; Pomarol-Clotet, E ; Preda, A ; Puig, O ; Quide, Y ; Radua, J ; Ramos-Quiroga, JA ; Rasser, PE ; Rauer, L ; Reddy, J ; Redlich, R ; Reif, A ; Reneman, L ; Repple, J ; Retico, A ; Richarte, V ; Richter, A ; Rosa, PGP ; Rubia, KK ; Hashimoto, R ; Sacchet, MD ; Salvador, R ; Santonja, J ; Sarink, K ; Sarro, S ; Satterthwaite, TD ; Sawa, A ; Schall, U ; Schofield, PR ; Schrantee, A ; Seitz, J ; Serpa, MH ; Setien-Suero, E ; Shaw, P ; Shook, D ; Silk, TJ ; Sim, K ; Simon, S ; Simpson, HB ; Singh, A ; Skoch, A ; Skokauskas, N ; Soares, JC ; Soreni, N ; Soriano-Mas, C ; Spalletta, G ; Spaniel, F ; Lawrie, SM ; Stern, ER ; Stewart, SE ; Takayanagi, Y ; Temmingh, HS ; Tolin, DF ; Tomecek, D ; Tordesillas-Gutierrez, D ; Tosetti, M ; Uhlmann, A ; van Amelsvoort, T ; van der Wee, NJA ; van der Werff, SJA ; van Haren, NEM ; van Wingen, GA ; Vance, A ; Vazquez-Bourgon, J ; Vecchio, D ; Venkatasubramanian, G ; Vieta, E ; Vilarroya, O ; Vives-Gilabert, Y ; Voineskos, AN ; Volzke, H ; von Polier, GG ; Walton, E ; Weickert, TW ; Weickert, CS ; Weideman, AS ; Wittfeld, K ; Wolf, DH ; Wu, M-J ; Yang, TT ; Yang, K ; Yoncheva, Y ; Yun, J-Y ; Cheng, Y ; Zanetti, MV ; Ziegler, GC ; Franke, B ; Hoogman, M ; Buitelaar, JK ; van Rooij, D ; Andreassen, OA ; Ching, CRK ; Veltman, DJ ; Schmaal, L ; Stein, DJ ; van den Heuvel, OA ; Turner, JA ; van Erp, TGM ; Pausova, Z ; Thompson, PM ; Paus, T (AMER MEDICAL ASSOC, 2021-01)
    IMPORTANCE: Large-scale neuroimaging studies have revealed group differences in cortical thickness across many psychiatric disorders. The underlying neurobiology behind these differences is not well understood. OBJECTIVE: To determine neurobiologic correlates of group differences in cortical thickness between cases and controls in 6 disorders: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), and schizophrenia. DESIGN, SETTING, AND PARTICIPANTS: Profiles of group differences in cortical thickness between cases and controls were generated using T1-weighted magnetic resonance images. Similarity between interregional profiles of cell-specific gene expression and those in the group differences in cortical thickness were investigated in each disorder. Next, principal component analysis was used to reveal a shared profile of group difference in thickness across the disorders. Analysis for gene coexpression, clustering, and enrichment for genes associated with these disorders were conducted. Data analysis was conducted between June and December 2019. The analysis included 145 cohorts across 6 psychiatric disorders drawn from the ENIGMA consortium. The numbers of cases and controls in each of the 6 disorders were as follows: ADHD: 1814 and 1602; ASD: 1748 and 1770; BD: 1547 and 3405; MDD: 2658 and 3572; OCD: 2266 and 2007; and schizophrenia: 2688 and 3244. MAIN OUTCOMES AND MEASURES: Interregional profiles of group difference in cortical thickness between cases and controls. RESULTS: A total of 12 721 cases and 15 600 controls, ranging from ages 2 to 89 years, were included in this study. Interregional profiles of group differences in cortical thickness for each of the 6 psychiatric disorders were associated with profiles of gene expression specific to pyramidal (CA1) cells, astrocytes (except for BD), and microglia (except for OCD); collectively, gene-expression profiles of the 3 cell types explain between 25% and 54% of variance in interregional profiles of group differences in cortical thickness. Principal component analysis revealed a shared profile of difference in cortical thickness across the 6 disorders (48% variance explained); interregional profile of this principal component 1 was associated with that of the pyramidal-cell gene expression (explaining 56% of interregional variation). Coexpression analyses of these genes revealed 2 clusters: (1) a prenatal cluster enriched with genes involved in neurodevelopmental (axon guidance) processes and (2) a postnatal cluster enriched with genes involved in synaptic activity and plasticity-related processes. These clusters were enriched with genes associated with all 6 psychiatric disorders. CONCLUSIONS AND RELEVANCE: In this study, shared neurobiologic processes were associated with differences in cortical thickness across multiple psychiatric disorders. These processes implicate a common role of prenatal development and postnatal functioning of the cerebral cortex in these disorders.
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    Modulation of Brain Resting-State Networks by Sad Mood Induction
    Harrison, BJ ; Pujol, J ; Ortiz, H ; Fornito, A ; Pantelis, C ; Yucel, M ; Robertson, E (PUBLIC LIBRARY SCIENCE, 2008-03-19)
    BACKGROUND: There is growing interest in the nature of slow variations of the blood oxygen level-dependent (BOLD) signal observed in functional MRI resting-state studies. In humans, these slow BOLD variations are thought to reflect an underlying or intrinsic form of brain functional connectivity in discrete neuroanatomical systems. While these 'resting-state networks' may be relatively enduring phenomena, other evidence suggest that dynamic changes in their functional connectivity may also emerge depending on the brain state of subjects during scanning. METHODOLOGY/PRINCIPAL FINDINGS: In this study, we examined healthy subjects (n = 24) with a mood induction paradigm during two continuous fMRI recordings to assess the effects of a change in self-generated mood state (neutral to sad) on the functional connectivity of these resting-state networks (n = 24). Using independent component analysis, we identified five networks that were common to both experimental states, each showing dominant signal fluctuations in the very low frequency domain (approximately 0.04 Hz). Between the two states, we observed apparent increases and decreases in the overall functional connectivity of these networks. Primary findings included increased connectivity strength of a paralimbic network involving the dorsal anterior cingulate and anterior insula cortices with subjects' increasing sadness and decreased functional connectivity of the 'default mode network'. CONCLUSIONS/SIGNIFICANCE: These findings support recent studies that suggest the functional connectivity of certain resting-state networks may, in part, reflect a dynamic image of the current brain state. In our study, this was linked to changes in subjective mood.
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    Aetiological overlap between obsessive-compulsive related and anxiety disorder symptoms: multivariate twin study
    Lopez-Sola, C ; Fontenelle, LF ; Bui, M ; Hopper, JL ; Pantelis, C ; Yuecel, M ; Menchon, JM ; Alonso, P ; Harrison, BJ (CAMBRIDGE UNIV PRESS, 2016-01)
    BACKGROUND: The aetiological boundary between obsessive-compulsive related disorders (OCRDs) including obsessive-compulsive disorder (OCD) and anxiety disorders is unclear and continues to generate debate. AIMS: To determine the genetic overlap and the pattern of causal relationships among OCRDs and anxiety disorders. METHOD: Multivariate twin modelling methods and a new regression analysis to infer causation were used, involving 2495 male and female twins. RESULTS: The amount of common genetic liability observed for OCD symptoms was higher when considering anxiety disorders and OCRDs in the model v. modelling OCRD symptoms alone. OCD symptoms emerged as risk factors for the presence of generalised anxiety, panic and hoarding symptoms, whereas social phobia appeared as a risk factor for OCD symptoms. CONCLUSIONS: OCD represents a complex phenotype that includes important shared features with anxiety disorders and OCRDs. The novel patterns of risk identified between OCD and anxiety disorder may help to explain their frequent co-occurrence.
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    Cognitive impairment in euthymic major depressive disorder: a meta-analysis
    Bora, E ; Harrison, BJ ; Yuecel, M ; Pantelis, C (CAMBRIDGE UNIV PRESS, 2013-10)
    BACKGROUND: There is evidence to suggest that cognitive deficits might persist beyond the acute stages of illness in major depressive disorder (MDD). However, the findings are somewhat inconsistent across the individual studies conducted to date. Our aim was to conduct a systematic review and meta-analysis of existing studies that have examined cognition in euthymic MDD patients. METHOD: Following a systematic search across several publication databases, meta-analyses were conducted for 27 empirical studies that compared euthymic adult MDD patients (895 participants) and healthy controls (997 participants) across a range of cognitive domains. The influence of demographic variables and confounding factors, including age of onset and recurrent episodes, was examined. RESULTS: Compared with healthy controls, euthymic MDD patients were characterized by significantly poorer cognitive functions. However, the magnitude of observed deficits, with the exception of inhibitory control, were generally modest when late-onset cases were excuded. Late-onset cases demonstrated significantly more pronounced deficits in verbal memory, speed of information processing and some executive functions. CONCLUSIONS: Cognitive deficits, especially poor response inhibition, are likely to be persistent features, at least of some forms, of adult-onset MDD. More studies are necessary to examine cognitive dysfunction in remitted psychotic, melancholic and bipolar spectrum MDD. Cognitive deficits overall appear to be more common among patients with late-onset depression, supporting the theories suggesting that possible vascular and neurodegenerative factors play a role in a substantial number of these patients.
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    The neural cascade of olfactory processing: A combined fMRI-EEG study
    Masaoka, Y ; Harding, IH ; Koiwa, N ; Yoshida, M ; Harrison, BJ ; Lorenzetti, V ; Ida, M ; Izumizaki, M ; Pantelis, C ; Homma, I (ELSEVIER SCIENCE BV, 2014-12-01)
    Olfaction is dependent on respiration for the delivery of odorants to the nasal cavity. Taking advantage of the time-locked nature of inspiration and olfactory processing, electroencephalogram dipole modeling (EEG/DT) has previously been used to identify a cascade of inspiration-triggered neural activity moving from primary limbic olfactory regions to frontal cortical areas during odor perception. In this study, we leverage the spatial resolution of functional magnetic resonance imaging (fMRI) alongside the temporal resolution of EEG to replicate and extend these findings. Brain activation identified by both modalities converged within association regions of the orbitofrontal cortex that were activated from approximately 150-300 ms after inspiration onset. EEG/DT was additionally sensitive to more transient activity in primary olfactory regions, including the parahippocampal gyrus and amygdala, occurring approximately 50 ms post-inspiration. These results provide a partial validation of the spatial profile of the olfactory cascade identified by EEG source modeling, and inform novel future directions in the investigation of human olfaction.
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    Altered Striatal Functional Connectivity in Subjects With an At-Risk Mental State for Psychosis
    Dandash, O ; Fornito, A ; Lee, J ; Keefe, RSE ; Chee, MWL ; Adcock, RA ; Pantelis, C ; Wood, SJ ; Harrison, BJ (OXFORD UNIV PRESS, 2014-07)
    Recent functional imaging work in individuals experiencing an at-risk mental state (ARMS) for psychosis has implicated dorsal striatal abnormalities in the emergence of psychotic symptoms, contrasting with earlier findings implicating the ventral striatum. Our aims here were to characterize putative dorsal and ventral striatal circuit-level abnormalities in ARMS individuals using resting-state functional magnetic resonance imaging (fMRI) and to investigate their relationship to positive psychotic symptoms. Resting-state fMRI was acquired in 74 ARMS subjects and 35 matched healthy controls. An established method for mapping ventral and dorsal striatal functional connectivity was used to examine corticostriatal functional integrity. Positive psychotic symptoms were assessed using the Comprehensive Assessment of At-Risk Mental State and the Positive and Negative Syndrome Scale. Compared with healthy controls, ARMS subjects showed reductions in functional connectivity between the dorsal caudate and right dorsolateral prefrontal cortex, left rostral medial prefrontal cortex, and thalamus, and between the dorsal putamen and left thalamic and lenticular nuclei. ARMS subjects also showed increased functional connectivity between the ventral putamen and the insula, frontal operculum, and superior temporal gyrus bilaterally. No differences in ventral striatal (ie, nucleus accumbens) functional connectivity were found. Altered functional connectivity in corticostriatal circuits were significantly correlated with positive psychotic symptoms. Together, these results suggest that risk for psychosis is mediated by a complex interplay of alterations in both dorsal and ventral corticostriatal systems.
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    Functional Connectivity in Brain Networks Underlying Cognitive Control in Chronic Cannabis Users
    Harding, IH ; Solowij, N ; Harrison, BJ ; Takag, M ; Lorenzetti, V ; Lubman, DI ; Seal, ML ; Pantelis, C ; Yuecel, M (NATURE PUBLISHING GROUP, 2012-07)
    The long-term effect of regular cannabis use on brain function underlying cognitive control remains equivocal. Cognitive control abilities are thought to have a major role in everyday functioning, and their dysfunction has been implicated in the maintenance of maladaptive drug-taking patterns. In this study, the Multi-Source Interference Task was employed alongside functional magnetic resonance imaging and psychophysiological interaction methods to investigate functional interactions between brain regions underlying cognitive control. Current cannabis users with a history of greater than 10 years of daily or near-daily cannabis smoking (n=21) were compared with age, gender, and IQ-matched non-using controls (n=21). No differences in behavioral performance or magnitude of task-related brain activations were evident between the groups. However, greater connectivity between the prefrontal cortex and the occipitoparietal cortex was evident in cannabis users, as compared with controls, as cognitive control demands increased. The magnitude of this connectivity was positively associated with age of onset and lifetime exposure to cannabis. These findings suggest that brain regions responsible for coordinating behavioral control have an increased influence on the direction and switching of attention in cannabis users, and that these changes may have a compensatory role in mitigating cannabis-related impairments in cognitive control or perceptual processes.
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    Brain functional connectivity during induced sadness in patients with obsessive-compulsive disorder
    Fontenelle, LF ; Harrison, BJ ; Pujol, J ; Davey, CG ; Fornito, A ; Bora, E ; Pantelis, C ; Yuecel, M (CMA-CANADIAN MEDICAL ASSOC, 2012-07)
    BACKGROUND: Obsessive-compulsive disorder (OCD) is associated with a range of emotional abnormalities linked to its defining symptoms, comorbid illnesses and cognitive deficits. The aim of this preliminary study was to examine functional changes in the brain that are associated with experimentally induced sad mood in patients with OCD compared with healthy controls in a frontolimbic circuit relevant to both OCD and mood regulation. METHODS: Participants underwent a validated sad mood induction procedure during functional magnetic resonance imaging. Analyses focused on mapping changes in the functional connectivity of the subgenual anterior cingulate cortex (ACC) within and between the 2 groups in response to successfully induced sadness. RESULTS: We enrolled 11 patients with OCD and 10 age-, sex- and IQ-matched controls in our study. Unlike controls, patients with OCD did not demonstrate predicted increases in functional connectivity between the subgenual ACC and other frontal regions during mood induction. Instead, patients demonstrated heightened connectivity between the subgenual ACC and ventral caudate/nucleus accumbens region and the hypothalamus. LIMITATIONS: Our study included a small, partially medicated patient cohort that precluded our ability to investigate sex or drug effects, evaluate behavioural differences between the groups and perform a whole-brain analysis. CONCLUSION: The ventral striatum and ventral frontal cortex were distinctly and differentially modulated in their connectivity with the subgenual ACC during the experience of sad mood in patients with OCD. These results suggest that, in patients with OCD, induced sadness appears to have provoked a primary subcortical component of the hypothesized "OCD circuit," which may offer insights into why OCD symptoms tend to develop and worsen during disturbed emotional states.