Examining pathways between genetic liability for schizophrenia and patterns of tobacco and cannabis use in adolescence

Psychological medicine

Published On 2022/1

BackgroundIt is not clear to what extent associations between schizophrenia, cannabis use and cigarette use are due to a shared genetic etiology. We, therefore, examined whether schizophrenia genetic risk associates with longitudinal patterns of cigarette and cannabis use in adolescence and mediating pathways for any association to inform potential reduction strategies.MethodsAssociations between schizophrenia polygenic scores and longitudinal latent classes of cigarette and cannabis use from ages 14 to 19 years were investigated in up to 3925 individuals in the Avon Longitudinal Study of Parents and Children. Mediation models were estimated to assess the potential mediating effects of a range of cognitive, emotional, and behavioral phenotypes.ResultsThe schizophrenia polygenic score, based on single nucleotide polymorphisms meeting a training-set p threshold of 0.05, was associated with late-onset …

Journal

Psychological medicine

Published On

2022/1

Volume

52

Issue

1

Page

132-139

Authors

George Davey Smith

George Davey Smith

University of Bristol

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168

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0

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0

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0

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Michael O'Donovan

Michael O'Donovan

Cardiff University

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159

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104

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0

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0

Citation(since 2020)

0

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0

Research Interests

Medicine

genetics

neuroscience

biochemistry

psychiatry

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David E Linden

David E Linden

Universiteit Maastricht

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91

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56

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0

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0

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0

Citation(since 2020)

0

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0

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psychiatry

neuroscience

neuroimaging

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James Walters

James Walters

Cardiff University

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74

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63

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0

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0

Citation(since 2020)

0

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0

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Psychiatry

Schizophrenia

Cognition

Genetics

Pharmacogenetics

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Caroline F. Wright

Caroline F. Wright

University of Exeter

Position

University of Exeter Medical School

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49

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39

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0

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0

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Translational genomics

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Gemma Hammerton

Gemma Hammerton

University of Bristol

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23

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21

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0

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Epidemiology

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Hannah Jones

Hannah Jones

University of Bristol

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22

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21

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Lindsey A Hines

Lindsey A Hines

King's College London

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19

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16

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Addiction

development

mental health

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Other Articles from authors

James Walters

James Walters

Cardiff University

European Neuropsychopharmacology

Rare variants in pharmacogenes influence clozapine metabolism in individuals with schizophrenia

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Michael O'Donovan

Michael O'Donovan

Cardiff University

Common risk alleles for schizophrenia within the major histocompatibility complex predict white matter microstructure

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Caroline F. Wright

Caroline F. Wright

University of Exeter

medRxiv

Clustering of predicted loss-of-function variants in genes linked with monogenic disease can explain incomplete penetrance

Predicted loss-of-function variants (pLoFs) are often associated with disease. For genes linked with monogenic diseases, we hypothesised that pLoFs present in apparently unaffected individuals may cluster in LoF-tolerant regions. We compared the distribution of pLoFs in ClinVar versus 454,773 individuals in UK Biobank and clustered the variants using Gaussian mixture models. We found that genes in which haploinsufficiency causes developmental disorders with incomplete penetrance were less likely to have a uniform pLoF distribution than other genes (P<2.2x10-6). In some cases (e.g., ARID1B and GATA6), pLoF variants in the first quarter of the gene could be rescued by an alternative translation start site and should not be reported as pathogenic. In other cases (e.g., ODC1), pathogenic pLoFs were clustered only at the end of the gene, consistent with a gain-of-function disease mechanism. Our results support the use of localised constraint metrics when interpreting variants.

David E Linden

David E Linden

Universiteit Maastricht

The Journal of Pain

Peripheral Pain Captured Centrally: Altered Brain Morphology on MRI in Small Fiber Neuropathy Patients With and Without an SCN9A Gene Variant

The current study aims to characterize brain morphology of pain as reported by small fiber neuropathy (SFN) patients with or without a gain-of-function variant involving the SCN9A gene and compare these with findings in healthy controls without pain. The Neuropathic Pain Scale was used in patients with idiopathic SFN (N = 20) and SCN9A-associated SFN (N = 12) to capture pain phenotype. T1-weighted, structural magnetic resonance imaging (MRI) data were collected in patients and healthy controls (N = 21) to 1) compare cortical thickness and subcortical volumes and 2) quantify the association between severity, quality, and duration of pain with morphological properties. SCN9A-associated SFN patients showed significant (P < .017, Bonferroni corrected) higher cortical thickness in sensorimotor regions, compared to idiopathic SFN patients, while lower cortical thickness was found in more functionally diverse …

David E Linden

David E Linden

Universiteit Maastricht

Biological psychiatry

Beyond the Global Brain Differences: Intraindividual Variability Differences in 1q21. 1 Distal and 15q11. 2 BP1-BP2 Deletion Carriers

BackgroundCarriers of the 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants exhibit regional and global brain differences compared with noncarriers. However, interpreting regional differences is challenging if a global difference drives the regional brain differences. Intraindividual variability measures can be used to test for regional differences beyond global differences in brain structure.MethodsMagnetic resonance imaging data were used to obtain regional brain values for 1q21.1 distal deletion (n = 30) and duplication (n = 27) and 15q11.2 BP1-BP2 deletion (n = 170) and duplication (n = 243) carriers and matched noncarriers (n = 2350). Regional intra-deviation scores, i.e., the standardized difference between an individual’s regional difference and global difference, were used to test for regional differences that diverge from the global difference.ResultsFor the 1q21.1 distal deletion carriers, cortical …

David E Linden

David E Linden

Universiteit Maastricht

Neuropsychopharmacology

Atypical cortical networks in children at high-genetic risk of psychiatric and neurodevelopmental disorders

Although many genetic risk factors for psychiatric and neurodevelopmental disorders have been identified, the neurobiological route from genetic risk to neuropsychiatric outcome remains unclear. 22q11.2 deletion syndrome (22q11.2DS) is a copy number variant (CNV) syndrome associated with high rates of neurodevelopmental and psychiatric disorders including autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD) and schizophrenia. Alterations in neural integration and cortical connectivity have been linked to the spectrum of neuropsychiatric disorders seen in 22q11.2DS and may be a mechanism by which the CNV acts to increase risk. In this study, magnetoencephalography (MEG) was used to investigate electrophysiological markers of local and global network function in 34 children with 22q11.2DS and 25 controls aged 10–17 years old. Resting-state oscillatory activity and …

Lindsey A Hines

Lindsey A Hines

King's College London

European Archives of Psychiatry and Clinical Neuroscience

Persistent increased severity of cannabis use disorder symptoms in adolescents compared to adults: a one-year longitudinal study

Persistent increased severity of cannabis use disorder symptoms in adolescents compared to adults: a one-year longitudinal study — the University of Bath's research portal Skip to main navigation Skip to search Skip to main content the University of Bath's research portal Home the University of Bath's research portal Logo Help & FAQ Home Profiles Research output Projects Datasets Student theses Equipment Research units Search by expertise, name or affiliation Persistent increased severity of cannabis use disorder symptoms in adolescents compared to adults: a one-year longitudinal study Rachel Lees, William Lawn, Kat Petrilli, Amelia Brown, Katie Trinci, Anya Borissova, Shelan Ofori, Claire Mokrysz, H. Valerie Curran, Lindsey Hines, Tom Freeman Addiction and Mental Health Group (AIM) Department of Psychology Centre for 21st Century Public Health Tobacco Control Research Group (TCRG) University …

David E Linden

David E Linden

Universiteit Maastricht

Deep Brain Stimulation

Deep brain stimulation-related experiences for obsessive-compulsive disorder: In-depth interviews with operated patients and relatives

BackgroundDeep brain stimulation (DBS) is an effective intervention for refractory obsessive-compulsive disorder (OCD). Although treatment success is measured by a decrease in the severity of core symptoms, this procedure can have broader psychological and physical effects. The field regrettably still lacks knowledge and tools allowing an adequate understanding and assessment of the full range of experiences that accompany DBS treatment. We aimed to describe possible side effects of DBS treatment as experienced by patients, beyond specific changes in OCD core symptoms.MethodsWe interviewed 16 patients and 7 of their relatives from two independent cohorts, receiving stimulation in different anatomical locations. We conducted semi-structured interviews, then transcribed at verbatim. Inductive content analysis was performed to code and group common themes.ResultsWe categorized a variety of …

Caroline F. Wright

Caroline F. Wright

University of Exeter

Population screening requires robust evidence—genomics is no exception

New genomic technologies have improved the speed and accuracy with which rare disease diagnoses can be made in individuals presenting with a phenotype. These advancements have led to enthusiasm for applying these technologies at the population level to identify individuals at increased genomic risk of disease, and for their application in common as well as rare diseases. The UK has seen two major initiatives launch in 2023 that explore population screening by use of genomics. In the Genomics England Newborn Genomes Programme (NGP; the Generations Study), actionable findings from wholegenome sequencing (WGS) will be communicated for more than 200 diseases in 100 000 participating newborn babies. 1 The UK’s Our Future Health (OFH) programme is recruiting up to 5 million adults via the National Health Service (NHS) for participation in research on common genetic variants, with plans to …

Gemma Hammerton

Gemma Hammerton

University of Bristol

Paternal postnatal depression and offspring emotional and behavioural development at age 7 years in a UK-birth cohort: the mediating roles of paternal parenting confidence …

Research that examines processes transmitting risks from paternal postnatal depression (PND) to child development is limited. This study examines pathways from paternal PND to offspring development though paternal parenting confidence, warmth, and father-child conflict in the ALSPAC birth-cohort (n= 9,628). Adjusted models revealed evidence of total associations between paternal PND, offspring emotional symptoms, peer problems and hyperactivity, but not conduct problems. Indirect effects emerged from paternal PND to offspring emotional symptoms, hyperactivity and peer problems through the combination of all paternal parenting factors, with no evidence of direct effects. Specificity analyses revealed indirect effects through paternal parenting confidence and father-child conflict. Targeted intervention to increase paternal parenting confidence and decrease father-child conflict may improve outcomes in children of depressed fathers.

Michael O'Donovan

Michael O'Donovan

Cardiff University

How real-world data can facilitate the development of precision medicine treatment in psychiatry

Precision medicine has the ambition to improve treatment response and clinical outcomes through patient stratification, and holds great potential in mental disorders. However, several important factors are needed to transform current practice into a “precision psychiatry” framework. Most important are (1) the generation of accessible large real-world training and test data including genomic data integrated from multiple sources, (2) the development and validation of advanced analytical tools for stratification and prediction, and (3) the development of clinically useful management platforms for patient monitoring that can be integrated into healthcare systems in real-life settings. This narrative review summarizes strategies for obtaining the key elements – well-powered samples from large biobanks, integrated with electronic health records and health registry data using novel artificial intelligence algorithms – to predict …

David E Linden

David E Linden

Universiteit Maastricht

Habituation to pain: self-report, electroencephalography, and functional magnetic resonance imaging in healthy individuals. A scoping review and future recommendations

Habituation to pain is a fundamental learning process and important adaption. Yet, a comprehensive review of the current state of the field is lacking. Through a systematic search, 63 studies were included. Results address habituation to pain in healthy individuals based on self-report, electroencephalography, or functional magnetic resonance imaging. Our findings indicate a large variety in methods, experimental settings, and contexts, making habituation a ubiquitous phenomenon. Habituation to pain based on self-report studies shows a large influence of expectations, as well as the presence of individual differences. Furthermore, widespread neural effects, with sometimes opposing effects in self-report measures, are noted. Electroencephalography studies showed habituation of the N2-P2 amplitude, whereas functional magnetic resonance imaging studies showed decreasing activity during painful repeated …

David E Linden

David E Linden

Universiteit Maastricht

Archives of Physical Medicine and Rehabilitation

A Biopsychosocial Approach to Persistent Post-COVID-19 Fatigue and Cognitive Complaints: Results of the Prospective Multicenter NeNeSCo Study

ObjectiveTo evaluate whether psychological and social factors complement biomedical factors in understanding post-COVID-19 fatigue and cognitive complaints. Additionally, to incorporate objective (neuro-cognitive) and subjective (patient-reported) variables in identifying factors related to post-COVID-19 fatigue and cognitive complaints.DesignProspective, multicenter cohort study.SettingSix Dutch hospitals.Participants205 initially hospitalized (March-June 2020), confirmed patients with SARS-CoV-2, aged ≥18 years, physically able to visit the hospital, without prior cognitive deficit, magnetic resonance imaging (MRI) contraindication, or severe neurologic damage post-hospital discharge (N=205).InterventionsNot applicable.Main Outcome MeasuresNine months post-hospital discharge, a 3T MRI scan and cognitive testing were performed and patients completed questionnaires. Medical data were retrieved from …

David E Linden

David E Linden

Universiteit Maastricht

Clinical Neurology and Neurosurgery

The incidence of neurological complications in mechanically ventilated COVID-19 ICU patients: an observational single-center cohort study in three COVID-19 periods

BACKGROUNDNeurological complications in COVID-19 patients admitted to an intensive care unit (ICU) have been previously reported. As the pandemic progressed, therapeutic strategies were tailored to new insights. This study describes the incidence, outcome, and types of reported neurological complications in invasively mechanically ventilated (IMV) COVID-19 patients in relation to three periods during the pandemic.METHODSIMV COVID-19 ICU patients from the Dutch Maastricht Intensive Care COVID (MaastrICCht) cohort were included in a single-center study (March 2020 – October 2021). Demographic, clinical, and follow-up data were collected. Electronic medical records were screened for neurological complications during hospitalization. Three distinct periods (P1, P2, P3) were defined, corresponding to periods with high hospitalization rates. ICU survivors with and without reported neurological …

Michael O'Donovan

Michael O'Donovan

Cardiff University

European Neuropsychopharmacology

Accelerated cortical thinning in schizophrenia is associated with rare and common predisposing variation to schizophrenia and neurodevelopmental disorders

Background: Schizophrenia (SZ) is a highly heritable disorder associated with increased rates of cortical thinning across the lifespan [1, 2]. Genetic factors play a significant role in changes in cortical thickness in neurotypical individuals, with studies reporting high heritability for most brain regions [3, 4]. Regional progressive cortical thinning after onset of psychotic symptoms has been systematically described [5]. Here we studied functional enrichment, transcriptomic signatures, and genetic risk variation of accelerated regional cortical thinning (ACT) as observed in SZ compared to healthy controls (HC).Methods: MRI data was obtained from participants with SZ and healthy controls (HC) from Utrecht, The Netherlands (NSZ= 169 and NHC= 298, MRI scans= 1087, age range 16-70 years). All subjects had baseline and follow-up scans (3.95–4.12 years). ACT was calculated for 68 regions of Freesurfer's Desikan …

James Walters

James Walters

Cardiff University

BMC psychiatry

CLEAR–clozapine in early psychosis: study protocol for a multi-centre, randomised controlled trial of clozapine vs other antipsychotics for young people with treatment …

BackgroundClozapine is an antipsychotic drug with unique efficacy, and it is the only recommended treatment for treatment-resistant schizophrenia (TRS: failure to respond to at least two different antipsychotics). However, clozapine is also associated with a range of adverse effects which restrict its use, including blood dyscrasias, for which haematological monitoring is required. As treatment resistance is recognised earlier in the illness, the question of whether clozapine should be prescribed in children and young people is increasingly important. However, most research to date has been in older, chronic patients, and evidence regarding the efficacy and safety of clozapine in people under age 25 is lacking. The CLEAR (CLozapine in EARly psychosis) trial will assess whether clozapine is more effective than treatment as usual (TAU), at the level of clinical symptoms, patient rated outcomes, quality of life and cost …

Lindsey A Hines

Lindsey A Hines

King's College London

Addiction

Incident psychotic experiences following self-reported use of high-potency cannabis: results from a longitudinal cohort study

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Caroline F. Wright

Caroline F. Wright

University of Exeter

Genetics in Medicine Open

Detection and characterisation of copy number variants from exome sequencing in the DDD study

PurposeStructural variants such as multi-exon deletions and duplications are an important cause of disease, but are often overlooked in standard exome/genome sequencing analysis. We aimed to evaluate the detection of copy number variants (CNVs) from exome sequencing (ES) in comparison to genome-wide low-resolution and exon-resolution chromosomal microarrays (CMA), and to characterise the properties of de novo CNVs in a large clinical cohort.MethodsWe performed CNV detection using ES of 9,859 parent-offspring trios in the Deciphering Developmental Disorders (DDD) study, and compared them to CNVs detected from exon-resolution array comparative genomic hybridization (aCGH) in 5,197 probands from the DDD study.ResultsIntegrating calls from multiple ES-based CNV algorithms using random forest machine learning generated a higher quality dataset than using individual algorithms. Both …

David E Linden

David E Linden

Universiteit Maastricht

Scientific reports

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample sizes, lack of representativeness, data leakage, and/or overfitting. Here, we overcome these limitations with the largest multi-site sample size to date (N = 5365) to provide a generalizable ML classification benchmark of major depressive disorder (MDD) using shallow linear and non-linear models. Leveraging brain measures from standardized ENIGMA analysis pipelines in FreeSurfer, we were able to classify MDD versus healthy controls (HC) with a balanced accuracy of around 62%. But after harmonizing the data, e.g., using ComBat, the balanced accuracy dropped to approximately 52%. Accuracy results close to random chance levels were also observed in …

Caroline F. Wright

Caroline F. Wright

University of Exeter

Nature Genetics

Genetic modifiers of rare variants in monogenic developmental disorder loci

Rare damaging variants in a large number of genes are known to cause monogenic developmental disorders (DDs) and have also been shown to cause milder subclinical phenotypes in population cohorts. Here, we show that carrying multiple (2-5) rare damaging variants across 599 dominant DD genes has an additive adverse effect on numerous cognitive and socioeconomic traits in UK Biobank, which can be partially counterbalanced by a higher educational attainment polygenic score (EA-PGS). Phenotypic deviators from expected EA-PGS could be partly explained by the enrichment or depletion of rare DD variants. Among carriers of rare DD variants, those with a DD-related clinical diagnosis had a substantially lower EA-PGS and more severe phenotype than those without a clinical diagnosis. Our results suggest that the overall burden of both rare and common variants can modify the expressivity of a phenotype, which may then influence whether an individual reaches the threshold for clinical disease.

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Yogesh Rathi

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Eva Velthorst

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Bart P.F. Rutten

Bart P.F. Rutten

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Seb Köhler

Seb Köhler

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Southeast University

Psychological Medicine

Assessment of optimal combinations of therapeutic probiotics for depression, anxiety, and stress

BackgroundAccumulating data show that probiotics may be beneficial for reducing depressive, anxiety, and stress symptoms. However, the best combinations and species of probiotics have not been identified. The objective of our study was to assess the most effective combinations and components of different probiotics through network meta-analysis.MethodA systematic search of four databases, PubMed, Web of Science, Cochrane, and Embase, was conducted from inception to 11 January 2024. The GRADE framework was used to assess the quality of evidence contributing to each network estimate.ResultsWe deemed 45 trials eligible, these included 4053 participants and 10 types of interventions. The quality of evidence was rated as high or moderate. The NMA revealed that Bifidobacterium exhibited a greater probability of being the optimal probiotic species for improving anxiety symptoms (SMD = −0.80; 95 …

Yicheng Long

Yicheng Long

Central South University

Psychological Medicine

Common and distinct functional brain network abnormalities in adolescent, early-middle adult, and late adult major depressive disorders

BackgroundThe age-related heterogeneity in major depressive disorder (MDD) has received significant attention. However, the neural mechanisms underlying such heterogeneity still need further investigation. This study aimed to explore the common and distinct functional brain abnormalities across different age groups of MDD patients from a large-sample, multicenter analysis.MethodsThe analyzed sample consisted of a total of 1238 individuals including 617 MDD patients (108 adolescents, 12–17 years old; 411 early-middle adults, 18–54 years old; and 98 late adults, > = 55 years old) and 621 demographically matched healthy controls (60 adolescents, 449 early-middle adults, and 112 late adults). MDD-related abnormalities in brain functional connectivity (FC) patterns were investigated in each age group separately and using the whole pooled sample, respectively.ResultsWe found shared FC reductions …

Michael J Meaney

Michael J Meaney

McGill University

Psychological Medicine

Screen time, brain network development and socio-emotional competence in childhood: moderation of associations by parent–child reading

BackgroundScreen time in infancy is linked to changes in social-emotional development but the pathway underlying this association remains unknown. We aim to provide mechanistic insights into this association using brain network topology and to examine the potential role of parent–child reading in mitigating the effects of screen time.MethodsWe examined the association of screen time on brain network topology using linear regression analysis and tested if the network topology mediated the association between screen time and later socio-emotional competence. Lastly, we tested if parent–child reading time was a moderator of the link between screen time and brain network topology.ResultsInfant screen time was significantly associated with the emotion processing-cognitive control network integration (p = 0.005). This network integration also significantly mediated the association between screen time and …

Matthias Pierce

Matthias Pierce

Manchester University

Psychological Medicine

The causal association between maternal depression, anxiety, and infection in pregnancy and neurodevelopmental disorders among 410 461 children: a population study using quasi …

BackgroundTo address if the long-standing association between maternal infection, depression/anxiety in pregnancy, and offspring neurodevelopmental disorder (NDD) is causal, we conducted two negative-control studies.MethodsFour primary care cohorts of UK children (pregnancy, 1 and 2 years prior to pregnancy, and siblings) born between 1 January 1990 and 31 December 2017 were constructed. NDD included autism/autism spectrum disorder, attention-deficit/hyperactivity disorder, intellectual disability, cerebral palsy, and epilepsy. Maternal exposures included depression/anxiety and/or infection. Maternal (age, smoking status, comorbidities, body mass index, NDD); child (gender, ethnicity, birth year); and area-level (region and level of deprivation) confounders were captured. The NDD incidence rate among (1) children exposed during or outside of pregnancy and (2) siblings discordant for exposure in …

Younga (Heather) Lee

Younga (Heather) Lee

Harvard University

Psychological Medicine

Genetic liability to posttraumatic stress disorder symptoms and its association with cardiometabolic and respiratory outcomes

BackgroundChildbirth may be a traumatic experience and vulnerability to posttraumatic stress disorder (PTSD) may increase the risk of postpartum depression (PPD). We investigated whether genetic vulnerability to PTSD as measured by polygenic score (PGS) increases the risk of PPD and whether a predisposition to PTSD in PPD cases exceeds that of major depressive disorder (MDD) outside the postpartum period.MethodsThis case-control study included participants from the iPSYCH2015, a case-cohort of all singletons born in Denmark between 1981 and 2008. Restricting to women born between 1981 and 1997 and excluding women with a first diagnosis other than depression (N = 22 613), 333 were identified with PPD. For each PPD case, 999 representing the background population and 993 with MDD outside the postpartum were matched by calendar year at birth, cohort selection, and age. PTSD PGS …

Laura Sampson

Laura Sampson

Harvard University

Psychological Medicine

Post-traumatic stress disorder symptom remission and cognition in a large cohort of civilian women

BackgroundPost-traumatic stress disorder (PTSD) is associated with cognitive impairments. It is unclear whether problems persist after PTSD symptoms remit.MethodsData came from 12 270 trauma-exposed women in the Nurses' Health Study II. Trauma and PTSD symptoms were assessed using validated scales to determine PTSD status as of 2008 (trauma/no PTSD, remitted PTSD, unresolved PTSD) and symptom severity (lifetime and past-month). Starting in 2014, cognitive function was assessed using the Cogstate Brief Battery every 6 or 12 months for up to 24 months. PTSD associations with baseline cognition and longitudinal cognitive changes were estimated by covariate-adjusted linear regression and linear mixed-effects models, respectively.ResultsCompared to women with trauma/no PTSD, women with remitted PTSD symptoms had a similar cognitive function at baseline, while women with unresolved …

Jan Van den Stock

Jan Van den Stock

Katholieke Universiteit Leuven

Psychological Medicine

A voxel-and source-based morphometry analysis of grey matter volume differences in very-late-onset schizophrenia-like psychosis

BackgroundVery-late-onset schizophrenia-like psychosis (VLOSLP) is associated with significant burden. Its clinical importance is increasing as the global population of older adults rises, yet owing to limited research in this population, the neurobiological underpinnings of VLOSP remain insufficiently clarified. Here we address this knowledge gap using novel morphometry techniques to investigate grey matter volume (GMV) differences between VLOSLP and healthy older adults, and their correlations with neuropsychological scores.MethodsIn this cross-sectional study, we investigated whole-brain GMV differences between 35 individuals with VLOSLP (mean age 76.7, 26 female) and 36 healthy controls (mean age 75.7, 27 female) using whole-brain voxel-based morphometry (VBM) and supplementary source-based morphometry (SBM) on high resolution 3D T1-weighted MRI images. Additionally, we investigated …

Ivan Toni

Ivan Toni

Radboud Universiteit

Psychological Medicine

Disentangling pain and fatigue in chronic fatigue syndrome: a resting state connectivity study before and after cognitive behavioral therapy

BackgroundFatigue is a central feature of myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS), but many ME/CFS patients also report comorbid pain symptoms. It remains unclear whether these symptoms are related to similar or dissociable brain networks. This study used resting-state fMRI to disentangle networks associated with fatigue and pain symptoms in ME/CFS patients, and to link changes in those networks to clinical improvements following cognitive behavioral therapy (CBT).MethodsRelationships between pain and fatigue symptoms and cortico-cortical connectivity were assessed within ME/CFS patients at baseline (N = 72) and after CBT (N = 33) and waiting list (WL, N = 18) and compared to healthy controls (HC, N = 29). The analyses focused on four networks previously associated with pain and/or fatigue, i.e. the fronto-parietal network (FPN), premotor network (PMN), somatomotor …

Sang Won Lee

Sang Won Lee

Kyungpook National University

Psychological Medicine

Neural mechanisms of acceptance-commitment therapy for obsessive-compulsive disorder: a resting-state and task-based fMRI study

BackgroundThere is growing evidence for the use of acceptance-commitment therapy (ACT) for the treatment of obsessive-compulsive disorder (OCD). However, few fully implemented ACT have been conducted on the neural mechanisms underlying its effect on OCD. Thus, this study aimed to elucidate the neural correlates of ACT in patients with OCD using task-based and resting-state functional magnetic resonance imaging (fMRI).MethodsPatients with OCD were randomly assigned to the ACT (n = 21) or the wait-list control group (n = 21). An 8-week group-format ACT program was provided to the ACT group. All participants underwent an fMRI scan and psychological measurements before and after 8 weeks.ResultsPatients with OCD showed significantly increased activation in the bilateral insula and superior temporal gyri (STG), induced by the thought-action fusion task after ACT intervention. Further psycho …

Tilo Kircher

Tilo Kircher

Philipps-Universität Marburg

Psychological medicine

Childhood trauma moderates schizotypy-related brain morphology: analyses of 1182 healthy individuals from the ENIGMA schizotypy working group

BackgroundSchizotypy represents an index of psychosis-proneness in the general population, often associated with childhood trauma exposure. Both schizotypy and childhood trauma are linked to structural brain alterations, and it is possible that trauma exposure moderates the extent of brain morphological differences associated with schizotypy.MethodsWe addressed this question using data from a total of 1182 healthy adults (age range: 18–65 years old, 647 females/535 males), pooled from nine sites worldwide, contributing to the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Schizotypy working group. All participants completed both the Schizotypal Personality Questionnaire Brief version (SPQ-B), and the Childhood Trauma Questionnaire (CTQ), and underwent a 3D T1-weighted brain MRI scan from which regional indices of subcortical gray matter volume and cortical thickness were …