7 results
Childhood adversities characterize the heterogeneity in the brain pattern of individuals during neurodevelopment
- Rajan Kashyap, Bharath Holla, Sagarika Bhattacharjee, Eesha Sharma, Urvakhsh Meherwan Mehta, Nilakshi Vaidya, Rose Dawn Bharath, Pratima Murthy, Debashish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam, Amit Chakrabarti, Kamakshi Kartik, Kartik Kalyanram, Kalyanaraman Kumaran, Ghattu Krishnaveni, Murali Krishna, Rebecca Kuriyan, Sunita Simon Kurpad, Sylvane Desrivieres, Meera Purushottam, Gareth Barker, Dimitri Papadopoulos Orfanos, Matthew Hickman, Jon Heron, Mireille Toledano, Gunter Schumann, Vivek Benegal, for the Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA)
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- Journal:
- Psychological Medicine , First View
- Published online by Cambridge University Press:
- 21 March 2024, pp. 1-13
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Background
Several factors shape the neurodevelopmental trajectory. A key area of focus in neurodevelopmental research is to estimate the factors that have maximal influence on the brain and can tip the balance from typical to atypical development.
MethodsUtilizing a dissimilarity maximization algorithm on the dynamic mode decomposition (DMD) of the resting state functional MRI data, we classified subjects from the cVEDA neurodevelopmental cohort (n = 987, aged 6–23 years) into homogeneously patterned DMD (representing typical development in 809 subjects) and heterogeneously patterned DMD (indicative of atypical development in 178 subjects).
ResultsSignificant DMD differences were primarily identified in the default mode network (DMN) regions across these groups (p < 0.05, Bonferroni corrected). While the groups were comparable in cognitive performance, the atypical group had more frequent exposure to adversities and faced higher abuses (p < 0.05, Bonferroni corrected). Upon evaluating brain-behavior correlations, we found that correlation patterns between adversity and DMN dynamic modes exhibited age-dependent variations for atypical subjects, hinting at differential utilization of the DMN due to chronic adversities.
ConclusionAdversities (particularly abuse) maximally influence the DMN during neurodevelopment and lead to the failure in the development of a coherent DMN system. While DMN's integrity is preserved in typical development, the age-dependent variability in atypically developing individuals is contrasting. The flexibility of DMN might be a compensatory mechanism to protect an individual in an abusive environment. However, such adaptability might deprive the neural system of the faculties of normal functioning and may incur long-term effects on the psyche.
Differing impact of the COVID-19 pandemic on youth mental health: combined population and clinical study
- Lu Qi, Zuo Zhang, Lauren Robinson, Marina Bobou, Chantal Gourlan, Jeanne Winterer, Rebecca Adams, Kofoworola Agunbiade, Yuning Zhang, Sinead King, Nilakshi Vaidya, Eric Artiges, Tobias Banaschewski, Arun L. W. Bokde, M. John Broulidakis, Rüdiger Brühl, Herta Flor, Juliane H. Fröhner, Hugh Garavan, Antoine Grigis, Andreas Heinz, Sarah Hohmann, Marie-Laure Paillère Martinot, Sabina Millenet, Frauke Nees, Betteke Maria van Noort, Dimitri Papadopoulos Orfanos, Luise Poustka, Julia Sinclair, Michael N. Smolka, Robert Whelan, Argyris Stringaris, Henrik Walter, Jean-Luc Martinot, Gunter Schumann, Ulrike Schmidt, Sylvane Desrivières, IMAGEN Consortium, ESTRA Consortium and STRATIFY Consortium
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- Journal:
- BJPsych Open / Volume 9 / Issue 6 / November 2023
- Published online by Cambridge University Press:
- 20 November 2023, e217
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Background
Identifying youths most at risk to COVID-19-related mental illness is essential for the development of effective targeted interventions.
AimsTo compare trajectories of mental health throughout the pandemic in youth with and without prior mental illness and identify those most at risk of COVID-19-related mental illness.
MethodData were collected from individuals aged 18–26 years (N = 669) from two existing cohorts: IMAGEN, a population-based cohort; and ESTRA/STRATIFY, clinical cohorts of individuals with pre-existing diagnoses of mental disorders. Repeated COVID-19 surveys and standardised mental health assessments were used to compare trajectories of mental health symptoms from before the pandemic through to the second lockdown.
ResultsMental health trajectories differed significantly between cohorts. In the population cohort, depression and eating disorder symptoms increased by 33.9% (95% CI 31.78–36.57) and 15.6% (95% CI 15.39–15.68) during the pandemic, respectively. By contrast, these remained high over time in the clinical cohort. Conversely, trajectories of alcohol misuse were similar in both cohorts, decreasing continuously (a 15.2% decrease) during the pandemic. Pre-pandemic symptom severity predicted the observed mental health trajectories in the population cohort. Surprisingly, being relatively healthy predicted increases in depression and eating disorder symptoms and in body mass index. By contrast, those initially at higher risk for depression or eating disorders reported a lasting decrease.
ConclusionsHealthier young people may be at greater risk of developing depressive or eating disorder symptoms during the COVID-19 pandemic. Targeted mental health interventions considering prior diagnostic risk may be warranted to help young people cope with the challenges of psychosocial stress and reduce the associated healthcare burden.
Risk clustering and psychopathology from a multi-center cohort of Indian children, adolescents, and young adults
- Debasish Basu, Abhishek Ghosh, Chandrima Naskar, Srinivas Balachander, Gwen Fernandes, Nilakshi Vaidya, Kalyanaraman Kumaran, Murali Krishna, Gareth J. Barker, Eesha Sharma, Pratima Murthy, Bharath Holla, Sanjeev Jain, Dimitri Papadopoulos Orfanos, Kartik Kalyanram, Meera Purushottam, Rose Dawn Bharath, Mathew Varghese, Kandavel Thennarasu, Amit Chakrabarti, Rajkumar Lenin Singh, Roshan Lourembam Singh, Subodh Bhagyalakshmi Nanjayya, Chirag Kamal Ahuja, Kamakshi Kartik, Ghattu Krishnaveni, Rebecca Kuriyan, Sunita Simon Kurpad, Sylvane Desrivieres, Udita Iyengar, Yuning Zhang, Matthew Hickman, Alex Spiers, Mireille Toledano, Gunter Schumann, Vivek Benegal
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- Journal:
- Development and Psychopathology / Volume 35 / Issue 2 / May 2023
- Published online by Cambridge University Press:
- 08 April 2022, pp. 800-808
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Developmental adversities early in life are associated with later psychopathology. Clustering may be a useful approach to group multiple diverse risks together and study their relation with psychopathology. To generate risk clusters of children, adolescents, and young adults, based on adverse environmental exposure and developmental characteristics, and to examine the association of risk clusters with manifest psychopathology. Participants (n = 8300) between 6 and 23 years were recruited from seven sites in India. We administered questionnaires to elicit history of previous exposure to adverse childhood environments, family history of psychiatric disorders in first-degree relatives, and a range of antenatal and postnatal adversities. We used these variables to generate risk clusters. Mini-International Neuropsychiatric Interview-5 was administered to evaluate manifest psychopathology. Two-step cluster analysis revealed two clusters designated as high-risk cluster (HRC) and low-risk cluster (LRC), comprising 4197 (50.5%) and 4103 (49.5%) participants, respectively. HRC had higher frequencies of family history of mental illness, antenatal and neonatal risk factors, developmental delays, history of migration, and exposure to adverse childhood experiences than LRC. There were significantly higher risks of any psychiatric disorder [Relative Risk (RR) = 2.0, 95% CI 1.8–2.3], externalizing (RR = 4.8, 95% CI 3.6–6.4) and internalizing disorders (RR = 2.6, 95% CI 2.2–2.9), and suicidality (2.3, 95% CI 1.8–2.8) in HRC. Social-environmental and developmental factors could classify Indian children, adolescents and young adults into homogeneous clusters at high or low risk of psychopathology. These biopsychosocial determinants of mental health may have practice, policy and research implications for people in low- and middle-income countries.
Independent contribution of polygenic risk for schizophrenia and cannabis use in predicting psychotic-like experiences in young adulthood: testing gene × environment moderation and mediation
- Laurent Elkrief, Bochao Lin, Mattia Marchi, Mohammad H Afzali, Tobias Banaschewski, Arun L. W. Bokde, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Juliane H. Fröhner, Michael N. Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Jurjen Luykx, Marco P. Boks, Patricia J. Conrod, the IMAGEN consortium
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- Journal:
- Psychological Medicine / Volume 53 / Issue 5 / April 2023
- Published online by Cambridge University Press:
- 23 September 2021, pp. 1759-1769
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Background
It has not yet been determined if the commonly reported cannabis–psychosis association is limited to individuals with pre-existing genetic risk for psychotic disorders.
MethodsWe examined whether the relationship between polygenic risk score for schizophrenia (PRS-Sz) and psychotic-like experiences (PLEs), as measured by the Community Assessment of Psychic Experiences-42 (CAPE-42) questionnaire, is mediated or moderated by lifetime cannabis use at 16 years of age in 1740 of the individuals of the European IMAGEN cohort. Secondary analysis examined the relationships between lifetime cannabis use, PRS-Sz and the various sub-scales of the CAPE-42. Sensitivity analyses including covariates, including a PRS for cannabis use, were conducted and results were replicated using data from 1223 individuals in the Dutch Utrecht cannabis cohort.
ResultsPRS-Sz significantly predicted cannabis use (p = 0.027) and PLE (p = 0.004) in the IMAGEN cohort. In the full model, considering PRS-Sz and covariates, cannabis use was also significantly associated with PLE in IMAGEN (p = 0.007). Results remained consistent in the Utrecht cohort and through sensitivity analyses. Nevertheless, there was no evidence of a mediation or moderation effects.
ConclusionsThese results suggest that cannabis use remains a risk factor for PLEs, over and above genetic vulnerability for schizophrenia. This research does not support the notion that the cannabis–psychosis link is limited to individuals who are genetically predisposed to psychosis and suggests a need for research focusing on cannabis-related processes in psychosis that cannot be explained by genetic vulnerability.
Sex differences in neural correlates of common psychopathological symptoms in early adolescence
- Francesca Biondo, Charlotte Nymberg Thunell, Bing Xu, Congying Chu, Tianye Jia, Alex Ing, Erin Burke Quinlan, Nicole Tay, Tobias Banaschewski, Arun L. W. Bokde, Christian Büchel, Sylvane Desrivières, Herta Flor, Vincent Frouin, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Hervé Lemaitre, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sabina Millenet, Juliane H. Fröhner, Michael N. Smolka, Henrik Walter, Robert Whelan, Edward D. Barker, Gunter Schumann, IMAGEN Consortium
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- Journal:
- Psychological Medicine / Volume 52 / Issue 14 / October 2022
- Published online by Cambridge University Press:
- 26 March 2021, pp. 3086-3096
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Background
Sex-related differences in psychopathology are known phenomena, with externalizing and internalizing symptoms typically more common in boys and girls, respectively. However, the neural correlates of these sex-by-psychopathology interactions are underinvestigated, particularly in adolescence.
MethodsParticipants were 14 years of age and part of the IMAGEN study, a large (N = 1526) community-based sample. To test for sex-by-psychopathology interactions in structural grey matter volume (GMV), we used whole-brain, voxel-wise neuroimaging analyses based on robust non-parametric methods. Psychopathological symptom data were derived from the Strengths and Difficulties Questionnaire (SDQ).
ResultsWe found a sex-by-hyperactivity/inattention interaction in four brain clusters: right temporoparietal-opercular region (p < 0.01, Cohen's d = −0.24), bilateral anterior and mid-cingulum (p < 0.05, Cohen's d = −0.18), right cerebellum and fusiform (p < 0.05, Cohen's d = −0.20) and left frontal superior and middle gyri (p < 0.05, Cohen's d = −0.26). Higher symptoms of hyperactivity/inattention were associated with lower GMV in all four brain clusters in boys, and with higher GMV in the temporoparietal-opercular and cerebellar-fusiform clusters in girls.
ConclusionsUsing a large, sex-balanced and community-based sample, our study lends support to the idea that externalizing symptoms of hyperactivity/inattention may be associated with different neural structures in male and female adolescents. The brain regions we report have been associated with a myriad of important cognitive functions, in particular, attention, cognitive and motor control, and timing, that are potentially relevant to understand the behavioural manifestations of hyperactive and inattentive symptoms. This study highlights the importance of considering sex in our efforts to uncover mechanisms underlying psychopathology during adolescence.
Orbitofrontal cortex volume links polygenic risk for smoking with tobacco use in healthy adolescents
- Jin Li, Bing Liu, Tobias Banaschewski, Arun L.W. Bokde, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Vincent Frouin, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Juliane H. Fröhner, Michael N. Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, IMAGEN Consortium, Tianzi Jiang
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- Psychological Medicine / Volume 52 / Issue 6 / April 2022
- Published online by Cambridge University Press:
- 03 September 2020, pp. 1175-1182
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Background
Tobacco smoking remains one of the leading causes of preventable illness and death and is heritable with complex underpinnings. Converging evidence suggests a contribution of the polygenic risk for smoking to the use of tobacco and other substances. Yet, the underlying brain mechanisms between the genetic risk and tobacco smoking remain poorly understood.
MethodsGenomic, neuroimaging, and self-report data were acquired from a large cohort of adolescents from the IMAGEN study (a European multicenter study). Polygenic risk scores (PGRS) for smoking were calculated based on a genome-wide association study meta-analysis conducted by the Tobacco and Genetics Consortium. We examined the interrelationships among the genetic risk for smoking initiation, brain structure, and the number of occasions of tobacco use.
ResultsA higher smoking PGRS was significantly associated with both an increased number of occasions of tobacco use and smaller cortical volume of the right orbitofrontal cortex (OFC). Furthermore, reduced cortical volume within this cluster correlated with greater tobacco use. A subsequent path analysis suggested that the cortical volume within this cluster partially mediated the association between the genetic risk for smoking and the number of occasions of tobacco use.
ConclusionsOur data provide the first evidence for the involvement of the OFC in the relationship between smoking PGRS and tobacco use. Future studies of the molecular mechanisms underlying tobacco smoking should consider the mediation effect of the related neural structure.
Modulation of orbitofrontal-striatal reward activity by dopaminergic functional polymorphisms contributes to a predisposition to alcohol misuse in early adolescence
- Travis E. Baker, Natalie Castellanos-Ryan, Gunter Schumann, Anna Cattrell, Herta Flor, Frauke Nees, Tobias Banaschewski, Arun Bokde, Rob Whelan, Christian Buechel, Uli Bromberg, Dimitri Papadopoulos Orfanos, Juergen Gallinat, Hugh Garavan, Andreas Heinz, Henrik Walter, Rüdiger Brühl, Penny Gowland, Tomáš Paus, Luise Poustka, Jean-Luc Martinot, Herve Lemaitre, Eric Artiges, Marie-Laure Paillère Martinot, Michael N. Smolka, Patricia Conrod, the IMAGEN consortium
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- Psychological Medicine / Volume 49 / Issue 5 / April 2019
- Published online by Cambridge University Press:
- 18 June 2018, pp. 801-810
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Background
Abnormalities in reward circuit function are considered a core feature of addiction. Yet, it is still largely unknown whether these abnormalities stem from chronic drug use, a genetic predisposition, or both.
MethodsIn the present study, we investigated this issue using a large sample of adolescent children by applying structural equation modeling to examine the effects of several dopaminergic polymorphisms of the D1 and D2 receptor type on the reward function of the ventral striatum (VS) and orbital frontal cortex (OFC), and whether this relationship predicted the propensity to engage in early alcohol misuse behaviors at 14 years of age and again at 16 years of age.
ResultsThe results demonstrated a regional specificity with which the functional polymorphism rs686 of the D1 dopamine receptor (DRD1) gene and Taq1A of the ANKK1 gene influenced medial and lateral OFC activation during reward anticipation, respectively. Importantly, our path model revealed a significant indirect relationship between the rs686 of the DRD1 gene and early onset of alcohol misuse through a medial OFC × VS interaction.
ConclusionsThese findings highlight the role of D1 and D2 in adjusting reward-related activations within the mesocorticolimbic circuitry, as well as in the susceptibility to early onset of alcohol misuse.