1
|
Zhao G, Zhang H, Ma L, Wang Y, Chen R, Liu N, Men W, Tan S, Gao JH, Qin S, He Y, Dong Q, Tao S. Reduced volume of the left cerebellar lobule VIIb and its increased connectivity within the cerebellum predict more general psychopathology one year later via worse cognitive flexibility in children. Dev Cogn Neurosci 2023; 63:101296. [PMID: 37690374 PMCID: PMC10507200 DOI: 10.1016/j.dcn.2023.101296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/30/2023] [Accepted: 09/05/2023] [Indexed: 09/12/2023] Open
Abstract
Predicting the risk for general psychopathology (the p factor) requires the examination of multiple factors ranging from brain to cognitive skills. While an increasing number of findings have reported the roles of the cerebral cortex and executive functions, it is much less clear whether and how the cerebellum and cognitive flexibility (a core component of executive function) may be associated with the risk for general psychopathology. Based on the data from more than 400 children aged 6-12 in the Children School Functions and Brain Development (CBD) Project, this study examined whether the left cerebellar lobule VIIb and its connectivity within the cerebellum may prospectively predict the risk for general psychopathology one year later and whether cognitive flexibility may mediate such predictions in school-age children. The reduced gray matter volume in the left cerebellar lobule VIIb and the increased connectivity of this region to the left cerebellar lobule VI prospectively predicted the risk for general psychopathology and was partially mediated by worse cognitive flexibility. Deficits in cognitive flexibility may play an important role in linking cerebellar structure and function to the risk for general psychopathology.
Collapse
Affiliation(s)
- Gai Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Haibo Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Leilei Ma
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Yanpei Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Rui Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Ningyu Liu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Weiwei Men
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Shuping Tan
- Psychiatry Research Center, Beijing Huilongguan Hospital, Peking University, Beijing 100096, China
| | - Jia-Hong Gao
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Shaozheng Qin
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Sha Tao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
| |
Collapse
|
2
|
Romer AL, Ren B, Pizzagalli DA. Brain Structure Relations With Psychopathology Trajectories in the ABCD Study. J Am Acad Child Adolesc Psychiatry 2023; 62:895-907. [PMID: 36773698 PMCID: PMC10403371 DOI: 10.1016/j.jaac.2023.02.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 11/09/2022] [Accepted: 02/02/2023] [Indexed: 02/11/2023]
Abstract
OBJECTIVE A general psychopathology (p) factor captures shared variation across mental disorders. Structural neural alterations have been associated with the p factor concurrently, but less is known about whether these alterations relate to within-person change in the p factor over time, especially during preadolescence, a period of neurodevelopmental changes. METHOD This study examined whether baseline brain structure was prospectively related to the trajectory of the p factor and specific forms of psychopathology over 2 years in 9,220 preadolescents (aged 9-10 at baseline) from the Adolescent Brain Cognitive Development Study (ABCD). Longitudinal multilevel models were conducted to determine whether baseline brain structure (volume, surface area, thickness) was associated with between-person differences and within-person change in the p factor (from a higher-order confirmatory factor model) and internalizing, externalizing, neurodevelopmental, somatization, and detachment factor scores (from a correlated factors model) over 3 study waves. RESULTS Smaller global volume and surface area, but not thickness, were associated with higher between-person levels of the p factor scores, which persisted over time. None of the brain structure measures were related to within-person change in the p factor scores. Lower baseline cortical thickness was associated with steeper decreases in internalizing psychopathology, which was driven by lower thickness within sensorimotor and temporal regions. CONCLUSION These novel results identify specific brain structure features that might contribute to transdiagnostic psychopathology development in preadolescence. Children with smaller total brain volume and surface area may be vulnerable to persistent general psychopathology during preadolescence. Cortical thinning reflective of pruning and myelination in sensorimotor and temporal brain regions specifically may protect against increases in internalizing, but not general psychopathology, during preadolescence.
Collapse
Affiliation(s)
- Adrienne L Romer
- Harvard Medical School, Boston, Massachusetts; Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts.
| | - Boyu Ren
- Harvard Medical School, Boston, Massachusetts; Laboratory for Psychiatric Biostatistics, McLean Hospital, Belmont, Massachusetts
| | - Diego A Pizzagalli
- Harvard Medical School, Boston, Massachusetts; Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts; McLean Imaging Center, McLean Hospital, Belmont, Massachusetts
| |
Collapse
|
3
|
Wang C, Hayes R, Roeder K, Jalbrzikowski M. Neurobiological Clusters Are Associated With Trajectories of Overall Psychopathology in Youth. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:852-863. [PMID: 37121399 PMCID: PMC10792597 DOI: 10.1016/j.bpsc.2023.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/22/2023] [Accepted: 04/13/2023] [Indexed: 05/02/2023]
Abstract
BACKGROUND Integrating multiple neuroimaging modalities to identify clusters of individuals and then associating these clusters with psychopathology is a promising approach for understanding neurobiological mechanisms that underlie psychopathology and the extent to which these features are associated with clinical symptoms. METHODS We leveraged neuroimaging data from T1-weighted, diffusion-weighted, and resting-state functional magnetic resonance images from the Adolescent Brain Cognitive Development (ABCD) Study (N = 8035) and used similarity network fusion and spectral clustering to identify subgroups of participants. We examined neuroimaging measures as a function of clustering profiles using 1, 2, or 3 imaging modalities (i.e., data combinations), calculated the stability of the clustering assignment in each respective data combination, and compared the consistency of clusters across different data combinations. We then compared the extent to which clusters were associated with overall psychopathology at the baseline assessment and at 2 yearly follow-up visits. RESULTS Each data combination resulted in optimal clusters ranging from 2 to 4 subgroups for each data combination. Clusters were stable across subsampling of the ABCD Study cohort. Widespread structural measures (surface area, fractional anisotropy, and mean diffusivity) were important features contributing to clustering across different data combinations. Five of the seven data combinations were associated with overall psychopathology, both at baseline and over time (d = 0.08-0.41). Generally, lower global cortical volume and surface area, widespread reduced fractional anisotropy, and increased radial diffusivity were associated with increased overall psychopathology. CONCLUSIONS Profiles constructed from neuroimaging data combinations are associated with concurrent and future psychopathology trajectories.
Collapse
Affiliation(s)
- Catherine Wang
- Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania
| | - Rebecca Hayes
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, Massachusetts
| | - Kathryn Roeder
- Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania; Department of Computational Biology, Carnegie Mellon University, Pittsburgh, Pennsylvania
| | - Maria Jalbrzikowski
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.
| |
Collapse
|
4
|
Giusto A, Romer A, Lovero K, dos Santos PF, Greene C, Gouveia L, Suleman A, Feliciano P, Oquendo MA, Mootz J, Wainberg ML. Examination of the Factor Structure of Psychopathology in a Mozambican Sample. Clin Psychol Sci 2023; 11:409-424. [PMID: 37181407 PMCID: PMC10181828 DOI: 10.1177/21677026221122773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Factor-analytic studies are needed in global samples to advance understanding of psychopathology. We aimed to examine the structure of psychopathology and a general psychopathology ('p') factor using data from a cross-sectional study of 971 adults (63% women) from Maputo City, Mozambique. We used confirmatory factor analyses of symptoms from 15 psychiatric disorders to test common models of the structure of psychopathology. Models including internalizing, substance use, and thought disorder factors as well as a general p-factor fit the data well. Measurement invariance testing revealed that factor loadings on p differed by gender. Higher levels of p, internalizing, and thought disorder factors were associated with greater suicide risk, psychiatric comorbidity, chronic medical illnesses, and poorer functioning. A general psychopathology ('p') factor and internalizing, substance use, and thought disorder factors are identifiable in this Mozambican sample. Understanding psychopathology dimensions is a step toward building more scalable mental health service approaches globally.
Collapse
Affiliation(s)
- Ali Giusto
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, 1051 Riverside Dr. Unit #24, New York, New York, USA
| | - Adrienne Romer
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Harvard Medical School, Belmont, MA, USA
| | - Kathryn Lovero
- Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Palmira Fortunado dos Santos
- Department of Mental Health, Ministry of Health, Av. Eduardo Mondlane/Av. Salvador Allende P.O. Box 1613, Maputo, Mozambique
| | - Claire Greene
- Program on Forced Migration and Health, Heilbrunn Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Lidia Gouveia
- Department of Mental Health, Ministry of Health, Av. Eduardo Mondlane/Av. Salvador Allende P.O. Box 1613, Maputo, Mozambique
| | - Antonio Suleman
- Department of Mental Health, Ministry of Health, Av. Eduardo Mondlane/Av. Salvador Allende P.O. Box 1613, Maputo, Mozambique
| | - Paulino Feliciano
- Department of Mental Health, Ministry of Health, Av. Eduardo Mondlane/Av. Salvador Allende P.O. Box 1613, Maputo, Mozambique
| | - Maria A. Oquendo
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, 3535 Market Street Suite 200, Philadelphia, Pennsylvania, USA
| | - Jennifer Mootz
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, 1051 Riverside Dr. Unit #24, New York, New York, USA
| | - Milton L. Wainberg
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Vagelos College of Physicians and Surgeons, 1051 Riverside Dr. Unit #24, New York, New York, USA
| |
Collapse
|
5
|
Karcher NR, Merchant J, Rappaport BI, Barch DM. Associations with youth psychotic-like experiences over time: Evidence for trans-symptom and specific cognitive and neural risk factors. JOURNAL OF PSYCHOPATHOLOGY AND CLINICAL SCIENCE 2023; 132:514-526. [PMID: 37023280 PMCID: PMC10164137 DOI: 10.1037/abn0000820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
Abstract
The current study examined whether impairments in cognitive and neural factors at baseline (ages 9-10) predict initial levels or changes in psychotic-like experiences (PLEs) and whether such impairments generalize to other psychopathology symptoms (i.e., internalizing and externalizing symptoms). Using unique longitudinal Adolescent Brain Cognitive Development Study data, the study examined three time points from ages 9 to 13. Univariate latent growth models examined associations between baseline cognitive and neural metrics with symptom measures using discovery (n = 5,926) and replication (n = 5,952) data sets. For symptom measures (i.e., PLEs, internalizing, externalizing), we examined mean initial levels (i.e., intercepts) and changes over time (i.e., slopes). Predictors included neuropsychological test performance, global structural MRI, and several a priori within-network resting-state functional connectivity metrics. Results showed a pattern whereby baseline cognitive and brain metric impairments showed the strongest associations with PLEs over time. Lower cognitive, volume, surface area, and cingulo-opercular within-network connectivity metrics showed associations with increased PLEs and higher initial levels of externalizing and internalizing symptoms. Several metrics were uniquely associated with PLEs, including lower cortical thickness with higher initial PLEs and lower default mode network connectivity with increased PLEs slopes. Neural and cognitive impairments in middle childhood were broadly associated with increased PLEs over time, and showed stronger associations with PLEs compared with other psychopathology symptoms. The current study also identified markers potentially uniquely associated with PLEs (e.g., cortical thickness). Impairments in broad cognitive metrics, brain volume and surface area, and a network associated with information integration may represent risk factors for general psychopathology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Collapse
Affiliation(s)
| | - Jaisal Merchant
- Department of Psychology, Washington University in St. Louis
| | | | - Deanna M. Barch
- Department of Psychiatry, Washington University School of Medicine
- Department of Psychology, Washington University in St. Louis
| |
Collapse
|
6
|
Kaczkurkin AN. Uncovering Potential Mechanisms of the Relationship Between Structural Deficits and General Psychopathology. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2022; 2:2-4. [PMID: 36324602 PMCID: PMC9616250 DOI: 10.1016/j.bpsgos.2021.11.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 11/24/2021] [Accepted: 11/29/2021] [Indexed: 11/17/2022] Open
|
7
|
Romer AL, Pizzagalli DA. Is executive dysfunction a risk marker or consequence of psychopathology? A test of executive function as a prospective predictor and outcome of general psychopathology in the adolescent brain cognitive development study®. Dev Cogn Neurosci 2021; 51:100994. [PMID: 34332330 PMCID: PMC8340137 DOI: 10.1016/j.dcn.2021.100994] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 07/08/2021] [Accepted: 07/19/2021] [Indexed: 12/30/2022] Open
Abstract
A general psychopathology ('p') factor captures shared variation across mental disorders. One hypothesis is that poor executive function (EF) contributes to p. Although EF is related to p concurrently, it is unclear whether EF predicts or is a consequence of p. For the first time, we examined prospective relations between EF and p in 9845 preadolescents (aged 9-12) from the Adolescent Brain Cognitive Development Study® longitudinally over two years. We identified higher-order factor models of psychopathology at baseline and one- and two-year follow-up waves. Consistent with previous research, a cross-sectional inverse relationship between EF and p emerged. Using residualized-change models, baseline EF prospectively predicted p factor scores two years later, controlling for prior p, sex, age, race/ethnicity, parental education, and family income. Baseline p factor scores also prospectively predicted change in EF two years later. Tests of specificity revealed that bi-directional prospective relations between EF and p were largely generalizable across externalizing, internalizing, neurodevelopmental, somatization, and detachment symptoms. EF consistently predicted change in externalizing and neurodevelopmental symptoms. These novel results suggest that executive dysfunction is both a risk marker and consequence of general psychopathology. EF may be a promising transdiagnostic intervention target to prevent the onset and maintenance of psychopathology.
Collapse
Affiliation(s)
- Adrienne L Romer
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA; Harvard Medical School, Belmont, MA, USA.
| | - Diego A Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA; Harvard Medical School, Belmont, MA, USA; McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| |
Collapse
|