1
|
Tarbox-Berry SI, Walsh BC, Pogue-Geile MF, Woods SW. Symptoms of Attenuated Psychosis Syndrome in Relatives of Clinical High-Risk Youth: Preliminary Evidence. Schizophr Bull 2023; 49:1022-1031. [PMID: 36752824 PMCID: PMC10318861 DOI: 10.1093/schbul/sbad001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
BACKGROUND AND HYPOTHESIS Attenuated Psychosis Syndrome (APS) impacts functioning and predicts increased risk of psychosis. Risk for developing APS itself has received minimal attention. Knowledge of familial and environmental contributions to APS symptoms would advance understanding of APS and risk for psychosis. As an initial step, this report presents the first data on APS symptoms in family members of APS patients. STUDY DESIGN This study utilized a discordant sibling-pair family study design. The Structured Interview for Psychosis-risk Syndromes (SIPS) was administered to 17 APS probands and 26 non-APS biological siblings. Probands and siblings were compared on positive, negative, disorganized, and general SIPS symptom scales and factors derived from those scales. STUDY RESULTS There was significantly greater symptom severity in probands compared to siblings on nine of 19 SIPS scales. Negative/anxiety, functioning, and positive symptom factors were identified. Probands showed significantly greater severity than siblings on the negative/anxiety and positive factors. Elevated pathology on the negative/anxiety factor best differentiated between probands and siblings, over and above the contribution of the positive factor. No difference was found for the functioning factor. CONCLUSIONS Results support the importance of non-familial effects on risk for APS and suggest differences in familial contribution to APS symptoms. Understanding the relative contribution of familial and environmental effects on APS symptoms may reveal important differences among APS patients, with implications for risk characterization, symptom course, and treatment selection.
Collapse
Affiliation(s)
- Sarah I Tarbox-Berry
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Barbara C Walsh
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | | | - Scott W Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| |
Collapse
|
2
|
de la Serna E, Montejo L, Solé B, Castro-Fornieles J, Camprodon-Boadas P, Sugranyes G, Rosa-Justicia M, Martinez-Aran A, Vieta E, Vicent-Gil M, Serra-Blasco M, Cardoner N, Torrent C. Effectiveness of enhancing cognitive reserve in children, adolescents and young adults at genetic risk for psychosis: Study protocol for a randomized controlled trial. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2023; 16:184-191. [PMID: 33631372 DOI: 10.1016/j.rpsm.2021.02.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 02/01/2021] [Accepted: 02/13/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Offspring of patients diagnosed with bipolar disorder and schizophrenia (Off-BDSZ) have a high genetic risk of developing a mental illness. The aim of this project is to develop and investigate the efficacy of an intervention aimed at this population, based on the concept of cognitive reserve. METHODS This is a multicenter randomized trial with an experimental test-retest design study with control group. Two groups will be included: a community comparison group (CC) and a Off-BDSZ group. A total of 108 Off-BDSZ and 65 CC aged between 6 and 25 years will be recruited. Off-BDSZ participants will be randomized to receive either Cognitive Reserve EnhAncement ThErapy (CREATE) (n=54), or a supportive approach (n=54). The CC group will be assessed at baseline. The duration of the intervention will be 3 months, with 12 weekly group sessions. The primary outcome will be the improvement in CR measured according to change in the Cognitive Reserve Assessment Scale in Health (CRASH) and Cognitive Reserve scale for Adolescents (CORE-A). All participants will be blindly evaluated using clinical, cognitive and neuroimaging measures at baseline, at three months (after the psychological intervention), and at twelve-month follow-up after treatment completion. DISCUSSION The results will provide insight into whether the CREATE-Offspring version may enhance cognitive reserve (CR) in child, adolescent and young adult Off-BDSZ as well as advance knowledge about changes in clinical manifestations, neuropsychological performance and brain structure and function associated with improving CR. This novel and cost-effective intervention represents an advance in the framework of preventive interventions in mental health. TRIAL REGISTRATION Clinicaltrials.gov, NCT03722082. Registered on 26 October 2018.
Collapse
Affiliation(s)
- Elena de la Serna
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Laura Montejo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Brisa Solé
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Josefina Castro-Fornieles
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain.
| | - Patricia Camprodon-Boadas
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Gisela Sugranyes
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Mireia Rosa-Justicia
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Anabel Martinez-Aran
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain.
| | - Muriel Vicent-Gil
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Depression and Anxiety Program, Institut d'Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona (UAB), CIBERSAM, Hospital Universitari Parc Taulí, Sabadell, Barcelona, Spain
| | - Maria Serra-Blasco
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Depression and Anxiety Program, Institut d'Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona (UAB), CIBERSAM, Hospital Universitari Parc Taulí, Sabadell, Barcelona, Spain
| | - Narcís Cardoner
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Depression and Anxiety Program, Institut d'Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona (UAB), CIBERSAM, Hospital Universitari Parc Taulí, Sabadell, Barcelona, Spain
| | - Carla Torrent
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain
| |
Collapse
|
3
|
Alkan E, Evans SL. Clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes. NPJ SCHIZOPHRENIA 2022; 8:50. [PMID: 35853888 PMCID: PMC9261107 DOI: 10.1038/s41537-022-00242-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 02/23/2022] [Indexed: 11/09/2022]
Abstract
AbstractSchizophrenia patients (SZH) often show impaired cognition and reduced brain structural volumes; these deficits are also detectable in healthy relatives of SZH. However, there is considerable heterogeneity: a sizable percentage of SZH are relatively cognitively intact; clustering strategies have proved useful for categorising into cognitive subgroups. We used a clustering strategy to investigate relationships between subgroup assignment and brain volumes, in 102 SZH (N = 102) and 32 siblings of SZH (SZH-SIB), alongside 92 controls (CON) and 48 of their siblings. SZH had poorer performance in all cognitive domains, and smaller brain volumes within prefrontal and temporal regions compared to controls. We identified three distinct cognitive clusters (‘neuropsychologically normal’, ‘intermediate’, ‘cognitively impaired’) based on age- and gender-adjusted cognitive domain scores. The majority of SZH (60.8%) were assigned to the cognitively impaired cluster, while the majority of SZH-SIB (65.6%) were placed in the intermediate cluster. Greater right middle temporal volume distinguished the normal cluster from the more impaired clusters. Importantly, the observed brain volume differences between SZH and controls disappeared after adjustment for cluster assignment. This suggests an intimate link between cognitive performance levels and regional brain volume differences in SZH. This highlights the importance of accounting for heterogeneity in cognitive performance within SZH populations when attempting to characterise the brain structural abnormalities associated with the disease.
Collapse
|
4
|
Preschool sleep and depression interact to predict gray matter volume trajectories across late childhood to adolescence. Dev Cogn Neurosci 2021; 53:101053. [PMID: 34933170 PMCID: PMC8693016 DOI: 10.1016/j.dcn.2021.101053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 11/29/2021] [Accepted: 12/15/2021] [Indexed: 11/21/2022] Open
Abstract
There is a close relationship between sleep and depression, and certain maladaptive outcomes of sleep problems may only be apparent in individuals with heightened levels of depression. In a sample enriched for preschool depression, we examined how sleep and depression in early childhood interact to predict later trajectories of gray matter volume. Participants (N = 161) were recruited and assessed during preschool (ages 3–6 years) and were later assessed with five waves of structural brain imaging, spanning from late childhood to adolescence. Sleep and depression were assessed using a semi-structured parent interview when the children were preschool-aged, and total gray matter volume was calculated at each scan wave. Although sleep disturbances alone did not predict gray matter volume/trajectories, preschool sleep and depression symptoms interacted to predict later total gray matter volume and the trajectory of decline in total gray matter volume. Sleep disturbances in the form of longer sleep onset latencies, increased irregularity in the child’s sleep schedule, and higher levels of daytime sleepiness in early childhood were all found to interact with early childhood depression severity to predict later trajectories of cortical gray matter volume. Findings provide evidence of the interactive effects of preschool sleep and depression symptoms on later neurodevelopment.
Collapse
|
5
|
Sugranyes G, de la Serna E, Ilzarbe D, Pariente JC, Borras R, Romero S, Rosa M, Baeza I, Moreno MD, Bernardo M, Vieta E, Castro-Fornieles J. Brain structural trajectories in youth at familial risk for schizophrenia or bipolar disorder according to development of psychosis spectrum symptoms. J Child Psychol Psychiatry 2021; 62:780-789. [PMID: 32951255 DOI: 10.1111/jcpp.13321] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 06/30/2020] [Accepted: 07/24/2020] [Indexed: 01/09/2023]
Abstract
BACKGROUND The evaluation of child and adolescent offspring of patients with schizophrenia (SzO) or bipolar disorder (BpO) may help understand changes taking place in the brain in individuals at heightened risk for disease during a key developmental period. METHODS One hundred twenty-eight individuals (33 SzO and 46 BpO, considered jointly as 'Familial High Risk' (FHR), and 49 controls) aged 6-17 years underwent clinical, cognitive and neuroimaging assessment at baseline, 2- and 4-year follow-up. Twenty FHR participants (11 SzO and 9 BpO) developed psychotic spectrum symptoms during follow-up, while 59 FHR participants did not. Magnetic resonance imaging was performed on a 3Tesla scanner; cortical surface reconstruction was applied to measure cortical thickness, surface area and grey matter volume. RESULTS FHR participants who developed psychotic spectrum symptoms over time showed greater time-related mean cortical thinning than those who did not and than controls. By subgroups, this effect was present in both BpO and SzO in the occipital cortex. At baseline, FHR participants who developed psychotic spectrum symptoms over time had smaller total surface area and grey matter volume than those who did not and than controls. Over time, all FHR participants showed less longitudinal decrease in surface area than controls. In those who developed psychotic spectrum symptoms over time, this effect was driven by BpO, while in those who did not, this was due to SzO, who also showed less grey matter volume reduction. CONCLUSION The emergence of psychotic spectrum symptoms in FHR was indexed by smaller cross-sectional surface area and progressive cortical thinning. Relative preservation of surface area over time may signal different processes according to familial risk. These findings lay the foundation for future studies aimed at stratification of FHR youth.
Collapse
Affiliation(s)
- Gisela Sugranyes
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain
| | - Elena de la Serna
- Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain
| | - Daniel Ilzarbe
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Department of Psychiatry and Clinical Psychology, University of Barcelona, Barcelona, Spain
| | | | - Roger Borras
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Soledad Romero
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain
| | - Mireia Rosa
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Inmaculada Baeza
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain.,Department of Psychiatry and Clinical Psychology, University of Barcelona, Barcelona, Spain
| | - Maria Dolores Moreno
- Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain.,Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Miguel Bernardo
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain.,Department of Psychiatry and Clinical Psychology, University of Barcelona, Barcelona, Spain.,Department of Psychiatry and Clinical Psychology Institute of Neuroscience, Hospital Clinic of Barcelona, Barcelona, Spain
| | - Eduard Vieta
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain.,Department of Psychiatry and Clinical Psychology, University of Barcelona, Barcelona, Spain.,Department of Psychiatry and Clinical Psychology Institute of Neuroscience, Hospital Clinic of Barcelona, Barcelona, Spain
| | - Josefina Castro-Fornieles
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain.,Department of Psychiatry and Clinical Psychology, University of Barcelona, Barcelona, Spain
| |
Collapse
|
6
|
Sánchez-Gutiérrez T, Rodríguez-Toscano E, Llorente C, de la Serna E, Moreno C, Sugranyes G, Romero S, Calvo A, Baeza I, Sánchez-Gistau V, Espliego A, Castro-Fornieles J, Moreno D. Neuropsychological, clinical and environmental predictors of severe mental disorders in offspring of patients with schizophrenia. Eur Arch Psychiatry Clin Neurosci 2020; 270:739-748. [PMID: 31312885 DOI: 10.1007/s00406-019-01044-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 07/03/2019] [Indexed: 12/30/2022]
Abstract
Offspring of individuals with schizophrenia (SZCOff) are at an increased risk for this disorder. Neuropsychological decline is a core feature of the disorder and researchers have reported increasing impairments in cognition during the prodromal phase in high-risk adolescents. Additionally, factors like the presence of prodromal symptoms or specific behavioral patterns could predict, together with neurocognitive functioning, the risk of conversion to severe mental disorders in SCZOff. This study aims to compare the neuropsychological functioning of a sample of 41 SCZOff children and adolescents and 105 community control offspring (CCOff) and to develop a prediction model to examine whether neuropsychological functioning, clinical and behavioral factors predict subsequent risk of severe mental disorders. We collected demographic, clinical and neuropsychological data. We found significant differences between groups in working memory, speed of processing, verbal memory and learning, visual memory and intelligence quotient (IQ). The socioeconomic status, verbal memory, working memory and positive prodromal symptoms predicted a significant proportion of the dependent variable variance. In conclusion, SCZOff showed neurocognitive impairments in several neuropsychological domains compared to CCOff. Neuropsychological functioning, environmental factors and positive prodromal symptoms could predict the risk of onset of severe mental disorders in SCZOff.
Collapse
Affiliation(s)
- Teresa Sánchez-Gutiérrez
- Faculty of Health Science, Universidad Internacional de la Rioja (UNIR), Madrid, Spain. .,Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain.
| | - Elisa Rodríguez-Toscano
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain.,Experimental Psychology, Cognitive Processes and Speech Therapy Department, Faculty of Psychology, Universidad Complutense, Madrid, Spain
| | - Cloe Llorente
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Elena de la Serna
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Centre Consortium (CIBERSAM), August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Carmen Moreno
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Gisela Sugranyes
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Centre Consortium (CIBERSAM), August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Soledad Romero
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Centre Consortium (CIBERSAM), August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Ana Calvo
- Faculty of Health Science, Universidad Internacional de la Rioja (UNIR), Madrid, Spain.,Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Immaculada Baeza
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Centre Consortium (CIBERSAM), August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Vanessa Sánchez-Gistau
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Centre Consortium (CIBERSAM), August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Ana Espliego
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Centre Consortium (CIBERSAM), August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Dolores Moreno
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| |
Collapse
|
7
|
Brain structural correlates of familial risk for mental illness: a meta-analysis of voxel-based morphometry studies in relatives of patients with psychotic or mood disorders. Neuropsychopharmacology 2020; 45:1369-1379. [PMID: 32353861 PMCID: PMC7297956 DOI: 10.1038/s41386-020-0687-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 04/19/2020] [Accepted: 04/22/2020] [Indexed: 02/05/2023]
Abstract
Schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD) are heritable psychiatric disorders with partially overlapping genetic liability. Shared and disorder-specific neurobiological abnormalities associated with familial risk for developing mental illnesses are largely unknown. We performed a meta-analysis of structural brain imaging studies in relatives of patients with SCZ, BD, and MDD to identify overlapping and discrete brain structural correlates of familial risk for mental disorders. Search for voxel-based morphometry studies in relatives of patients with SCZ, BD, and MDD in PubMed and Embase identified 33 studies with 2292 relatives and 2052 healthy controls (HC). Seed-based d Mapping software was used to investigate global differences in gray matter volumes between relatives as a group versus HC, and between those of each psychiatric disorder and HC. As a group, relatives exhibited gray matter abnormalities in left supramarginal gyrus, right striatum, right inferior frontal gyrus, left thalamus, bilateral insula, right cerebellum, and right superior frontal gyrus, compared with HC. Decreased right cerebellar gray matter was the only abnormality common to relatives of all three conditions. Subgroup analyses showed disorder-specific gray matter abnormalities in left thalamus and bilateral insula associated with risk for SCZ, in left supramarginal gyrus and right frontal regions with risk for BD, and in right striatum with risk for MDD. While decreased gray matter in right cerebellum might be a common brain structural abnormality associated with shared risk for SCZ, BD, and MDD, regional gray matter abnormalities in neocortex, thalamus, and striatum appear to be disorder-specific.
Collapse
|
8
|
Anteraper SA, Collin G, Guell X, Scheinert T, Molokotos E, Henriksen MT, Mesholam-Gately R, Thermenos HW, Seidman LJ, Keshavan MS, Gabrieli JDE, Whitfield-Gabrieli S. Altered resting-state functional connectivity in young children at familial high risk for psychotic illness: A preliminary study. Schizophr Res 2020; 216:496-503. [PMID: 31801673 PMCID: PMC7239744 DOI: 10.1016/j.schres.2019.09.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 09/09/2019] [Accepted: 09/12/2019] [Indexed: 01/05/2023]
Abstract
Multiple lines of evidence suggest that illness development in schizophrenia and other psychotic disorders predates the first psychotic episode by many years. In this study, we examined a sample of 15 pre-adolescent children, ages 7 through 12 years, who are at familial high-risk (FHR) because they have a parent or sibling with a history of schizophrenia or related psychotic disorder. Using multi-voxel pattern analysis (MVPA), a data-driven fMRI analysis, we assessed whole-brain differences in functional connectivity in the FHR sample as compared to an age- and sex-matched control (CON) group of 15 children without a family history of psychosis. MVPA analysis yielded a single cluster in right posterior superior temporal gyrus (pSTG/BA 22) showing significant group-differences in functional connectivity. Post-hoc characterization of this cluster through seed-to-voxel analysis revealed mostly reduced functional connectivity of the pSTG seed to a set of language and default mode network (DMN) associated brain regions including Heschl's gyrus, inferior temporal gyrus extending into fusiform gyrus, (para)hippocampus, thalamus, and a cerebellar cluster encompassing mainly Crus I/II. A height-threshold of whole-brain p < .001 (two-sided), and FDR-corrected cluster-threshold of p < .05 (non-parametric statistics) was used for post-hoc characterization. These findings suggest that abnormalities in functional communication in a network encompassing right STG and associated brain regions are present before adolescence in at-risk children and may be a risk marker for psychosis. Subsequent changes in this functional network across development may contribute to either disease manifestation or resilience in children with a familial vulnerability for psychosis.
Collapse
Affiliation(s)
- Sheeba Arnold Anteraper
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Psychology, Northeastern University, Boston, MA, USA; Alan and Lorraine Bressler Clinical and Research Program for Autism Spectrum Disorder, Massachusetts General Hospital, Boston, MA, USA.
| | - Guusje Collin
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA,Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA,Corresponding author
| | - Xavier Guell
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Timothy Scheinert
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Elena Molokotos
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Maria Toft Henriksen
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Raquelle Mesholam-Gately
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Heidi W. Thermenos
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - John D. E. Gabrieli
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Susan Whitfield-Gabrieli
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA,Department of Psychology, Northeastern University, Boston, MA, USA
| |
Collapse
|
9
|
van Haren NE, Setiaman N, Koevoets MG, Baalbergen H, Kahn RS, Hillegers MH. Brain structure, IQ, and psychopathology in young offspring of patients with schizophrenia or bipolar disorder. Eur Psychiatry 2020; 63:e5. [PMID: 32093799 PMCID: PMC8057400 DOI: 10.1192/j.eurpsy.2019.19] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 10/23/2019] [Accepted: 12/02/2019] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Studying offspring of schizophrenia (SZo) and bipolar disorder patients (BDo) provides important information on the putative neurodevelopmental trajectories underlying development toward severe mental illnesses. We compared intracranial volume (ICV), as a marker for neurodevelopment, and global and local brain measures between SZo or BDo and control offspring (Co) in relation to IQ and psychopathology. METHODS T1-weighted magnetic resonance imaging (MRI) brain scans were obtained from 146 participants (8-19 years; 40 SZo, 66 BDo, 40 Co). Linear mixed models were applied to compare ICV, global, and local brain measures between groups. To investigate the effect of ICV, IQ (four subtests Wechsler Intelligence Scale for Children/Wechsler Adult Intelligence Scale-III) or presence of psychopathology these variables were each added to the model. RESULTS SZo and BDo had significantly lower IQ and more often met criteria for a lifetime psychiatric disorder than Co. ICV was significantly smaller in SZo than in BDo (d = -0.56) and Co (d = -0.59), which was largely independent of IQ (respectively, d = -0.54 and d = -0.35). After ICV correction, the cortex was significantly thinner in SZo than in BDo (d = -0.42) and Co (d = -0.75) and lateral ventricles were larger in BDo than in Co (d = 0.55). Correction for IQ or lifetime psychiatric diagnosis did not change these findings. CONCLUSIONS Despite sharing a lower IQ and a higher prevalence of psychiatric disorders, brain abnormalities in BDo appear less pronounced (but are not absent) than in SZo. Lower ICV in SZo implies that familial risk for schizophrenia has a stronger association with stunted early brain development than familial risk for bipolar disorder.
Collapse
Affiliation(s)
- Neeltje E.M. van Haren
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Sophia Children’s Hospital, Rotterdam, The Netherlands
| | - Nikita Setiaman
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Sophia Children’s Hospital, Rotterdam, The Netherlands
| | - Martijn G.J.C. Koevoets
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht, The Netherlands
| | - Heleen Baalbergen
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht, The Netherlands
| | - Rene S. Kahn
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht, The Netherlands
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Manon H.J. Hillegers
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Sophia Children’s Hospital, Rotterdam, The Netherlands
| |
Collapse
|
10
|
de Zwarte SMC, Brouwer RM, Agartz I, Alda M, Aleman A, Alpert KI, Bearden CE, Bertolino A, Bois C, Bonvino A, Bramon E, Buimer EEL, Cahn W, Cannon DM, Cannon TD, Caseras X, Castro-Fornieles J, Chen Q, Chung Y, De la Serna E, Di Giorgio A, Doucet GE, Eker MC, Erk S, Fears SC, Foley SF, Frangou S, Frankland A, Fullerton JM, Glahn DC, Goghari VM, Goldman AL, Gonul AS, Gruber O, de Haan L, Hajek T, Hawkins EL, Heinz A, Hillegers MHJ, Hulshoff Pol HE, Hultman CM, Ingvar M, Johansson V, Jönsson EG, Kane F, Kempton MJ, Koenis MMG, Kopecek M, Krabbendam L, Krämer B, Lawrie SM, Lenroot RK, Marcelis M, Marsman JBC, Mattay VS, McDonald C, Meyer-Lindenberg A, Michielse S, Mitchell PB, Moreno D, Murray RM, Mwangi B, Najt P, Neilson E, Newport J, van Os J, Overs B, Ozerdem A, Picchioni MM, Richter A, Roberts G, Aydogan AS, Schofield PR, Simsek F, Soares JC, Sugranyes G, Toulopoulou T, Tronchin G, Walter H, Wang L, Weinberger DR, Whalley HC, Yalin N, Andreassen OA, Ching CRK, van Erp TGM, Turner JA, Jahanshad N, Thompson PM, Kahn RS, van Haren NEM. The Association Between Familial Risk and Brain Abnormalities Is Disease Specific: An ENIGMA-Relatives Study of Schizophrenia and Bipolar Disorder. Biol Psychiatry 2019; 86:545-556. [PMID: 31443932 PMCID: PMC7068800 DOI: 10.1016/j.biopsych.2019.03.985] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 03/19/2019] [Accepted: 03/24/2019] [Indexed: 11/30/2022]
Abstract
BACKGROUND Schizophrenia and bipolar disorder share genetic liability, and some structural brain abnormalities are common to both conditions. First-degree relatives of patients with schizophrenia (FDRs-SZ) show similar brain abnormalities to patients, albeit with smaller effect sizes. Imaging findings in first-degree relatives of patients with bipolar disorder (FDRs-BD) have been inconsistent in the past, but recent studies report regionally greater volumes compared with control subjects. METHODS We performed a meta-analysis of global and subcortical brain measures of 6008 individuals (1228 FDRs-SZ, 852 FDRs-BD, 2246 control subjects, 1016 patients with schizophrenia, 666 patients with bipolar disorder) from 34 schizophrenia and/or bipolar disorder family cohorts with standardized methods. Analyses were repeated with a correction for intracranial volume (ICV) and for the presence of any psychopathology in the relatives and control subjects. RESULTS FDRs-BD had significantly larger ICV (d = +0.16, q < .05 corrected), whereas FDRs-SZ showed smaller thalamic volumes than control subjects (d = -0.12, q < .05 corrected). ICV explained the enlargements in the brain measures in FDRs-BD. In FDRs-SZ, after correction for ICV, total brain, cortical gray matter, cerebral white matter, cerebellar gray and white matter, and thalamus volumes were significantly smaller; the cortex was thinner (d < -0.09, q < .05 corrected); and third ventricle was larger (d = +0.15, q < .05 corrected). The findings were not explained by psychopathology in the relatives or control subjects. CONCLUSIONS Despite shared genetic liability, FDRs-SZ and FDRs-BD show a differential pattern of structural brain abnormalities, specifically a divergent effect in ICV. This may imply that the neurodevelopmental trajectories leading to brain anomalies in schizophrenia or bipolar disorder are distinct.
Collapse
Affiliation(s)
- Sonja M C de Zwarte
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
| | - Rachel M Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; National Institute of Mental Health, Klecany, Czech Republic
| | - André Aleman
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Kathryn I Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California; Department of Psychology, University of California, Los Angeles, Los Angeles, California
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Catherine Bois
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, United Kingdom
| | - Aurora Bonvino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Elvira Bramon
- Division of Psychiatry, Neuroscience in Mental Health Research Department, University College London, London, United Kingdom
| | - Elizabeth E L Buimer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Wiepke Cahn
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Dara M Cannon
- Centre for Neuroimaging and Cognitive Genomics and National Centre for Biomedical Engineering (NCBES), Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, Connecticut, United Kingdom
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, United Kingdom
| | - Josefina Castro-Fornieles
- Psychology and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Institute d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), University of Barcelona, Spain
| | - Qiang Chen
- Lieber Institute for Brain Development, Baltimore, Maryland
| | - Yoonho Chung
- Department of Psychology, Yale University, New Haven, Connecticut, United Kingdom
| | - Elena De la Serna
- Psychology and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Institute d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), University of Barcelona, Spain
| | - Annabella Di Giorgio
- Department of Experimental and Clinical Medicine, Università Politecnica delle Marche, Ancona, Italy
| | - Gaelle E Doucet
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Mehmet Cagdas Eker
- SoCAT LAB, Department of Psychiatry, School of Medicine, Ege University, Bornova, Izmir, Turkey; Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York
| | - Susanne Erk
- Research Division of Mind and Brain, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Scott C Fears
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California; Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, California
| | - Sonya F Foley
- Cardiff University Brain Research Imaging Centre, Cardiff University, United Kingdom
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Andrew Frankland
- School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Janice M Fullerton
- School of Medical Sciences, University of New South Wales, Sydney, Australia; Neuroscience Research Australia, Sydney, Australia
| | - David C Glahn
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, Connecticut; Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Vina M Goghari
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada; Graduate Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada
| | | | - Ali Saffet Gonul
- SoCAT LAB, Department of Psychiatry, School of Medicine, Ege University, Bornova, Izmir, Turkey; Department of Psychiatry and Behavioral Sciences, Mercer University School of Medicine, Macon, Georgia
| | - Oliver Gruber
- Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Lieuwe de Haan
- Early Psychosis Unit, Department of Psychiatry, Academic Medical Center, Amsterdam, Netherlands
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; National Institute of Mental Health, Klecany, Czech Republic
| | - Emma L Hawkins
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, United Kingdom
| | - Andreas Heinz
- Research Division of Mind and Brain, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Manon H J Hillegers
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, Netherlands
| | - Hilleke E Hulshoff Pol
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Christina M Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Martin Ingvar
- Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Viktoria Johansson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Erik G Jönsson
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Fergus Kane
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Matthew J Kempton
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Marinka M G Koenis
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Miloslav Kopecek
- National Institute of Mental Health, Klecany, Czech Republic; Department of Psychiatry, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Lydia Krabbendam
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behaviour and Movement Sciences, Vrije Universiteit, Amsterdam, Netherlands
| | - Bernd Krämer
- Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Stephen M Lawrie
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, United Kingdom
| | - Rhoshel K Lenroot
- Neuroscience Research Australia, Sydney, Australia; Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, New Mexico
| | - Machteld Marcelis
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht University, Maastricht, Netherlands
| | - Jan-Bernard C Marsman
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Venkata S Mattay
- Lieber Institute for Brain Development, Baltimore, Maryland; Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Colm McDonald
- Centre for Neuroimaging and Cognitive Genomics and National Centre for Biomedical Engineering (NCBES), Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Andreas Meyer-Lindenberg
- Clinical Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stijn Michielse
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht University, Maastricht, Netherlands
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Dolores Moreno
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Robin M Murray
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Benson Mwangi
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Pablo Najt
- Centre for Neuroimaging and Cognitive Genomics and National Centre for Biomedical Engineering (NCBES), Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Emma Neilson
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, United Kingdom
| | - Jason Newport
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht University, Maastricht, Netherlands
| | | | - Aysegul Ozerdem
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York; Department of Psychiatry, Faculty of Medicine, Izmir, Turkey; Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Marco M Picchioni
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Anja Richter
- Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Aybala Saricicek Aydogan
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey; Department of Psychiatry, Faculty of Medicine, Izmir Katip Çelebi University, Izmir, Turkey
| | - Peter R Schofield
- School of Medical Sciences, University of New South Wales, Sydney, Australia; Neuroscience Research Australia, Sydney, Australia
| | - Fatma Simsek
- SoCAT LAB, Department of Psychiatry, School of Medicine, Ege University, Bornova, Izmir, Turkey; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Department of Psychiatry, Cigli State Hospital, Izmir, Turkey
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Gisela Sugranyes
- Psychology and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Institute d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), University of Barcelona, Spain
| | - Timothea Toulopoulou
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Department of Psychology, Bilkent University, Ankara, Turkey; Department of Psychology, University of Hong Kong, Hong Kong, China
| | - Giulia Tronchin
- Centre for Neuroimaging and Cognitive Genomics and National Centre for Biomedical Engineering (NCBES), Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Henrik Walter
- Research Division of Mind and Brain, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | - Heather C Whalley
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, United Kingdom
| | - Nefize Yalin
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Christopher R K Ching
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California; Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, California; Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, California
| | - Jessica A Turner
- Department of Psychology, Georgia State University, Atlanta, Georgia; Neuroscience Institute, Georgia State University, Atlanta, Georgia
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California
| | - René S Kahn
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Neeltje E M van Haren
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, Netherlands
| |
Collapse
|
11
|
Lin K, Shao R, Geng X, Chen K, Lu R, Gao Y, Bi Y, Lu W, Guan L, Kong J, Xu G, So KF. Illness, at-risk and resilience neural markers of early-stage bipolar disorder. J Affect Disord 2018; 238:16-23. [PMID: 29852342 DOI: 10.1016/j.jad.2018.05.017] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 04/06/2018] [Accepted: 05/15/2018] [Indexed: 01/10/2023]
Abstract
BACKGROUND Current knowledge on objective and specific neural markers for bipolar risk and resilience-related processes is lacking, partly due to not subdividing high-risk individuals manifesting different levels of subclinical symptoms who possibly possess different levels of resilience. METHODS We delineated grey matter markers for bipolar illness, genetic high risk (endophenotype) and resilience, through comparing across 42 young non-comorbid bipolar patients, 42 healthy controls, and 72 diagnosis-free, medication-naive high-genetic-risk individuals subdivided into a combined-high-risk group who additionally manifested bipolar risk-relevant subsyndromes (N = 38), and an asymptomatic high-risk group (N = 34). Complementary analyses assessed the additional predictive and classification values of grey matter markers beyond those of clinical scores, through using logistic regression and support vector machine analyses. RESULTS Illness-related effects manifested as reduced grey matter volumes of bilateral temporal limbic-striatal and cerebellar regions, which significantly differentiated bipolar patients from healthy controls and improved clinical classification specificity by 20%. Reduced bilateral cerebellar grey matter volume emerged as a potential endophenotype and (along with parieto-occipital grey matter changes) separated combined-high-risk individuals from healthy and high-risk individuals, and increased clinical classification specificity by approximately 10% and 27%, respectively, while the relatively normalized cerebellar grey matter volumes in the high-risk sample may confer resilience. LIMITATIONS The cross-validation procedure was not performed on an independent sample using independently-derived features. The BD group had different age and sex distributions than some other groups which may not be fully addressable statistically. CONCLUSIONS Our framework can be applied in other measurement domains to derive complete profiles for bipolar patients and at-risk individuals, towards forming strategies for promoting resilience and preclinical intervention.
Collapse
Affiliation(s)
- Kangguang Lin
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; GMH Institute of CNS Regeneration, Jinan University, Guangzhou, China; GMU-HKU Mood and Brain Science Center, Guangzhou, China.
| | - Robin Shao
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; GMU-HKU Mood and Brain Science Center, Guangzhou, China; The State Key Laboratory of Brain and Cognitive Sciences and Department of Ophthalmology, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology and Laboratory of Social Cognitive Affective Neuroscience, Department of Psychology, University of Hong Kong, Hong Kong
| | - Xiujuan Geng
- The State Key Laboratory of Brain and Cognitive Sciences and Department of Ophthalmology, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology and Laboratory of Social Cognitive Affective Neuroscience, Department of Psychology, University of Hong Kong, Hong Kong
| | - Kun Chen
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Rui Lu
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China
| | - Yanling Gao
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yanan Bi
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Weicong Lu
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lijie Guan
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiehua Kong
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Guiyun Xu
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; GMU-HKU Mood and Brain Science Center, Guangzhou, China
| | - Kwok-Fai So
- GMH Institute of CNS Regeneration, Jinan University, Guangzhou, China; GMU-HKU Mood and Brain Science Center, Guangzhou, China; The State Key Laboratory of Brain and Cognitive Sciences and Department of Ophthalmology, The University of Hong Kong, Hong Kong
| |
Collapse
|
12
|
Poels EMP, Schrijver L, Kamperman AM, Hillegers MHJ, Hoogendijk WJG, Kushner SA, Roza SJ. Long-term neurodevelopmental consequences of intrauterine exposure to lithium and antipsychotics: a systematic review and meta-analysis. Eur Child Adolesc Psychiatry 2018; 27:1209-1230. [PMID: 29948232 PMCID: PMC6133089 DOI: 10.1007/s00787-018-1177-1] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 05/31/2018] [Indexed: 12/14/2022]
Abstract
Lithium and antipsychotics are often prescribed to treat bipolar disorder or psychotic disorders in women of childbearing age. Little is known about the consequences of these medications during pregnancy for the developing child. The objective of this article is to systematically review findings from preclinical and clinical studies that have examined the neurodevelopmental consequences of intrauterine exposure to lithium and antipsychotics. A systematic search was performed in Embase, Medline, Web of Science, PsychINFO, Cochrane, and Google Scholar. Clinical and experimental studies were selected if they investigated neurodevelopment of offspring exposed to lithium or antipsychotics during gestation. Quality of clinical and preclinical studies was assessed by the Newcastle-Ottawa Scale and the SYRCLE's risk of Bias tool, respectively. In total, 73 studies were selected for qualitative synthesis and three studies were selected for quantitative synthesis. Of preclinical studies, 93% found one or more adverse effects of prenatal exposure to antipsychotics or lithium on neurodevelopment or behaviour. Only three clinical cohort studies have investigated the consequences of lithium exposure, all of which reported normal development. In 66% of clinical studies regarding antipsychotic exposure, a transient delay in neurodevelopment was observed. The relative risk for neuromotor deficits after in utero exposure to antipsychotics was estimated to be 1.63 (95% CI 1.22-2.19; I2 = 0%). Preclinical studies suggest long-term adverse neurodevelopmental consequences of intrauterine exposure to either lithium or antipsychotics. However, there is a lack of high-quality clinical studies. Interpretation is difficult, since most studies have compared exposed children with their peers from the unaffected population, which did not allow correction for potential influences regarding genetic predisposition or parental psychiatric illness.
Collapse
Affiliation(s)
- Eline M P Poels
- Department of Psychiatry, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands.
| | - Lisanne Schrijver
- Department of Psychiatry, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands
| | - Astrid M Kamperman
- Department of Psychiatry, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands
| | - Manon H J Hillegers
- Department of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Witte J G Hoogendijk
- Department of Psychiatry, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands
| | - Steven A Kushner
- Department of Psychiatry, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands
| | - Sabine J Roza
- Department of Psychiatry, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015 CE, Rotterdam, The Netherlands
| |
Collapse
|
13
|
Sugranyes G, de la Serna E, Borras R, Sanchez-Gistau V, Pariente JC, Romero S, Baeza I, Díaz-Caneja CM, Rodriguez-Toscano E, Moreno C, Bernardo M, Moreno D, Vieta E, Castro-Fornieles J. Clinical, Cognitive, and Neuroimaging Evidence of a Neurodevelopmental Continuum in Offspring of Probands With Schizophrenia and Bipolar Disorder. Schizophr Bull 2017; 43:1208-1219. [PMID: 28180904 PMCID: PMC5737486 DOI: 10.1093/schbul/sbx002] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Studies in child and adolescent offspring of patients with schizophrenia or bipolar disorders may help understand the influence of neurodevelopmental factors on the premorbid phenotype of these disorders. AIMS To assess whether a combination of neurodevelopmental factors discriminates between young offspring of patients with schizophrenia (SzO) or bipolar disorder (BpO) and community controls (CcO). To assess the association between these factors and rates of psychiatric diagnoses in high risk (HR) youth. METHODS One hundred thirty-three HR offspring (47 SzO and 86 BpO) and 84 CcO, aged 6-17, underwent cross-sectional clinical, neurocognitive, and structural neuroimaging assessment. Information on perinatal events and early childhood development was also obtained. General linear mixed models were performed to assess group discrimination and association with lifetime axis I psychiatric disorders. RESULTS Multivariate analyses revealed that greater neurological soft signs (NSS), less total grey matter volume (GMV) and a higher frequency of obstetric complications discriminated HR offspring from CcO. When comparing each group individually, greater NSS and a higher frequency of obstetric complications discriminated SzO from CcO, and BpO from CcO, while lower intelligence also discriminated SzO from CcO and from BpO. Within HR offspring, lower intelligence and less total GMV were associated with lifetime incidence of psychiatric disorders. CONCLUSIONS Both SzO and BpO showed evidence of neurodevelopmental insult, although this may have a greater impact in SzO. Lower intelligence and less total GMV hold potential as biomarkers of risk for psychiatric disorders in HR youth.
Collapse
Affiliation(s)
- Gisela Sugranyes
- Department of Child and Adolescent Psychiatry and Psychology, 2014SGR489, Institut Clinic de Neurociències, Hospital Clínic i Provincial, Barcelona, Spain,Institut d′Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,To whom correspondence should be addressed; Department of Child and Adolescent Psychiatry and Psychology, 2014SGR489, Institut Clinic de Neurociències, Hospital Clínic i Provincial, c. Villarroel 170, 08036 Barcelona, Spain; tel: +34-93-227-9974/9970, fax: +34-93-227-9974, e-mail:
| | - Elena de la Serna
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Roger Borras
- Institut d′Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Vanessa Sanchez-Gistau
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,Early Intervention Team, Pere Mata Institute of Reus, Health Research Institute Pere Virgili (IISPV), Reus, Spain
| | - Jose C Pariente
- Institut d′Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Soledad Romero
- Institut d′Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Inmaculada Baeza
- Department of Child and Adolescent Psychiatry and Psychology, 2014SGR489, Institut Clinic de Neurociències, Hospital Clínic i Provincial, Barcelona, Spain,Institut d′Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Covadonga M Díaz-Caneja
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Elisa Rodriguez-Toscano
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Carmen Moreno
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Miguel Bernardo
- Department of Child and Adolescent Psychiatry and Psychology, 2014SGR489, Institut Clinic de Neurociències, Hospital Clínic i Provincial, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain,Department of Psychiatry and Psychology, Hospital Clinic, Barcelona, Spain
| | - Dolores Moreno
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Eduard Vieta
- Department of Child and Adolescent Psychiatry and Psychology, 2014SGR489, Institut Clinic de Neurociències, Hospital Clínic i Provincial, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain,Department of Psychiatry and Psychology, Hospital Clinic, Barcelona, Spain
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, 2014SGR489, Institut Clinic de Neurociències, Hospital Clínic i Provincial, Barcelona, Spain,Institut d′Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain,Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| |
Collapse
|
14
|
Nery FG, Norris M, Eliassen JC, Weber WA, Blom TJ, Welge JA, Barzman DA, Strawn JR, Adler CM, Strakowski SM, DelBello MP. White matter volumes in youth offspring of bipolar parents. J Affect Disord 2017; 209:246-253. [PMID: 27936454 PMCID: PMC10530655 DOI: 10.1016/j.jad.2016.11.023] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 10/25/2016] [Accepted: 11/15/2016] [Indexed: 12/24/2022]
Abstract
BACKGROUND Studying youth at high risk of developing bipolar disorder may clarify neurobiological factors associated with vulnerability to this illness. We present here a baseline characterization of brain structure in youth at-risk for bipolar disorder. METHODS Magnetic resonance images were obtained from 115 child and adolescent offspring of bipolar disorder type I subjects and 57 healthy child and adolescent offspring of healthy parents (healthy control offspring). Offspring of parents with bipolar disorder were divided into healthy bipolar offspring (n=47) or symptomatic bipolar offspring (n=68), according to presence or absence of childhood-onset psychopathology. All bipolar offspring were free of major mood and psychotic disorders. Gray (GM) and white matter (WM) volumes were compared between groups using voxel-based morphometry. RESULTS No differences in GM volumes were found across groups. Healthy bipolar offspring presented with decreased WM volumes in areas of the right frontal, temporal and parietal lobes, and in the left temporal and parietal lobes compared to healthy control offspring. Symptomatic bipolar offspring did not present with any differences in WM volumes compared to either healthy bipolar offspring or healthy control offspring. LIMITATIONS Cross-sectional design and heterogeneous sample of symptomatic bipolar offspring. CONCLUSIONS WM volume decreases in areas of the frontal, occipital, and parietal lobes are present in bipolar offspring prior to the development of any psychiatric symptoms, and may be a correlate of familial risk to bipolar disorder. In this large cohort, we have not found evidence for regional GM volume abnormalities as an endophenotype for bipolar disorder.
Collapse
Affiliation(s)
- Fabiano G Nery
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
| | - Matthew Norris
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - James C Eliassen
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Wade A Weber
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Thomas J Blom
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jeffrey A Welge
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Drew A Barzman
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Jeffrey R Strawn
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Caleb M Adler
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Stephen M Strakowski
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Melissa P DelBello
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| |
Collapse
|
15
|
Sugranyes G, Solé-Padullés C, de la Serna E, Borras R, Romero S, Sanchez-Gistau V, Garcia-Rizo C, Goikolea JM, Bargallo N, Moreno D, Baeza I, Castro-Fornieles J. Cortical Morphology Characteristics of Young Offspring of Patients With Schizophrenia or Bipolar Disorder. J Am Acad Child Adolesc Psychiatry 2017; 56:79-88. [PMID: 27993232 DOI: 10.1016/j.jaac.2016.09.516] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Revised: 09/12/2016] [Accepted: 10/19/2016] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Cortical surface area and thickness abnormalities have been observed in patients with schizophrenia and bipolar disorders; however, no study thus far has examined cortical morphologic measurements in children and adolescents at genetic risk for the disorders comparatively. METHOD One hundred thirty-seven participants, including 36 offspring of patients with schizophrenia (SzO), 54 offspring of patients with bipolar disorder (BpO), and 47 offspring of community controls (CcO), 6 to 17 years old, were assessed with clinical and neuroimaging methods. Sixty-nine percent of the sample was reassessed at a 27.6-month (mean) follow-up. Cortical surface reconstruction was applied to measure cortical area and thickness using FreeSurfer; mixed-effects models were used to investigate cross-sectional and longitudinal differences in global and lobar morphologic measurements. RESULTS The SzO group exhibited a cross-sectional decrease in global, parietal, and occipital lobe surface area compared with the CcO group, and in the occipital lobe compared with the BpO group. In the SzO group, global and parietal surface area values were inversely associated with attenuated positive and negative prodromal symptom scores. No cross-sectional differences in cortical thickness were observed. Division of the sample by pubertal status showed group-by-time interactions in the pubertal and postpubertal SzO subgroup, with less longitudinal decrease in cortical surface area and thickness than in the CcO and BpO subgroups, respectively. CONCLUSION The SzO, but not the BpO, group was characterized by cross-sectional decreases in surface area, and this was associated with prodromal symptoms. Longitudinal changes in cortical morphology associated with risk for schizophrenia may be expressed differently according to developmental stage.
Collapse
Affiliation(s)
- Gisela Sugranyes
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium.
| | | | - Elena de la Serna
- Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Roger Borras
- August Pi i Sunyer Biomedical Research Institute, Barcelona
| | - Soledad Romero
- Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Vanessa Sanchez-Gistau
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Clemente Garcia-Rizo
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Jose Manuel Goikolea
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Nuria Bargallo
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Biomedical Research Networking Center Consortium; Image Diagnosis Center, Hospital Clínic, Barcelona
| | - Dolores Moreno
- Biomedical Research Networking Center Consortium; Hospital General Universitario Gregorio Marañón and School of Medicine, Universidad Complutense, Madrid
| | - Inmaculada Baeza
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Josefina Castro-Fornieles
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium; University of Barcelona
| |
Collapse
|
16
|
Hanford LC, Hall GB, Minuzzi L, Sassi RB. Gray matter volumes in symptomatic and asymptomatic offspring of parents diagnosed with bipolar disorder. Eur Child Adolesc Psychiatry 2016; 25:959-67. [PMID: 26767977 DOI: 10.1007/s00787-015-0809-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Accepted: 12/07/2015] [Indexed: 12/12/2022]
Abstract
Children of parents diagnosed with bipolar disorder (BD), termed high-risk offspring (HRO), are at greater risk of developing psychiatric disorders compared to healthy children of healthy parents (HCO). Gray matter volume (GMV) abnormalities have been observed in HRO, however, these reports are inconsistent. We posit that this variability may be attributed to differences in methodology among offspring studies; in particular, the presence of psychiatric symptoms in HRO. Here, we directly compared GMVs between symptomatic and asymptomatic HRO, and HCO. High-resolution T1-weighted MR images were collected from 31 HRO (18 symptomatic and 13 asymptomatic) and 20 age- and sex-matched HCO. HRO had at least one parent diagnosed with BD. Symptomatic HRO were defined as having a psychiatric diagnosis other than BD, while asymptomatic HRO were required to be free of any psychiatric diagnosis. Scans were processed using voxel-based morphometry methods and between group analyses were performed in SPM. Compared to HCO, the HRO group showed decreased GMV in the right inferior orbitofrontal, right middle frontal, and bilateral superior and middle temporal regions. Both symptomatic and asymptomatic HRO groups showed decreased GMV in these regions separately when compared to HCO. When comparing symptomatic and asymptomatic HRO, GMVs were comparable in all regions except the lateral occipital cortex. Our study compared symptomatic and asymptomatic HRO directly. In doing so, we provided further support for the presence of discrete GMV deficits in HRO, and confirmed that these deficits are present irrespective of the presence of symptoms in HRO.
Collapse
Affiliation(s)
- Lindsay C Hanford
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Geoffrey B Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Luciano Minuzzi
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
- Mood Disorders Program, St. Joseph's Healthcare Hamilton, 100 West 5th St., Hamilton, ON, L8N3K7, Canada
| | - Roberto B Sassi
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
- Mood Disorders Program, St. Joseph's Healthcare Hamilton, 100 West 5th St., Hamilton, ON, L8N3K7, Canada.
| |
Collapse
|
17
|
Hanford LC, Sassi RB, Minuzzi L, Hall GB. Cortical thickness in symptomatic and asymptomatic bipolar offspring. Psychiatry Res Neuroimaging 2016; 251:26-33. [PMID: 27107808 DOI: 10.1016/j.pscychresns.2016.04.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Revised: 04/10/2016] [Accepted: 04/12/2016] [Indexed: 02/04/2023]
Abstract
Children of parents diagnosed with bipolar disorder are at greater risk for developing a variety of psychiatric disorders, however, the reasons remain unknown. The present study aimed to investigate gray matter integrity in high-risk bipolar offspring (HRO) and healthy offspring (HCO) using cortical thickness techniques. Here we examined healthy control offspring (HCO; n=20) and HRO with (n=17) or without (n=13) psychiatric symptoms. T1-weighted images were collected from all offspring, and cortical thickness and age-cortical thickness correlations were compared. HRO showed cortical thinning in superior and inferior temporal regions, supramarginal, and caudal and rostral middle frontal regions compared to HCO. When comparing HRO with and without psychiatric symptoms, we found cortical thinning in symptomatic offspring in the superior frontal and somatosensory related cortices. Age-thickness correlations showed a relatively consistent negative relationship in most regions in HCO, while the reverse was true for the HRO. These regions included parahippocampal, lateral orbitofrontal, and inferior temporal regions. Our study provides evidence of cortical thickness reductions among symptomatic and asymptomatic high-risk offspring during youth. Some of these alterations, found in regions of emotion processing and regulation, are evident only when associated with the presence of psychiatric symptoms.
Collapse
Affiliation(s)
| | - Roberto B Sassi
- Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada; Mood Disorders Outpatient Program, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Luciano Minuzzi
- Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada; Mood Disorders Outpatient Program, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Geoffrey B Hall
- Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada
| |
Collapse
|
18
|
Sommer IE. Are We a Step Further Toward a Useful Biomarker? Schizophr Bull 2015; 41:1223. [PMID: 26373541 PMCID: PMC4601724 DOI: 10.1093/schbul/sbv127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Iris E. Sommer
- *To whom correspondence should be addressed; Department of Psychiatry, UMC Utrecht, Netherlands; tel: +31887556365, e-mail:
| |
Collapse
|