1
|
Nuechterlein KH, McEwen SC, Ventura J, Subotnik KL, Turner LR, Boucher M, Casaus LR, Distler MG, Hayata JN. Aerobic exercise enhances cognitive training effects in first-episode schizophrenia: randomized clinical trial demonstrates cognitive and functional gains. Psychol Med 2023; 53:4751-4761. [PMID: 36047035 PMCID: PMC10388302 DOI: 10.1017/s0033291722001696] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 04/22/2022] [Accepted: 05/20/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Cognitive training (CT) and aerobic exercise both show promising moderate impact on cognition and everyday functioning in schizophrenia. Aerobic exercise is hypothesized to increase brain-derived neurotrophic factor (BDNF) and thereby synaptic plasticity, leading to increased learning capacity. Systematic CT should take advantage of increased learning capacity and be more effective when combined with aerobic exercise. METHODS We examined the impact of a 6-month program of cognitive training & exercise (CT&E) compared to cognitive training alone (CT) in 47 first-episode schizophrenia outpatients. All participants were provided the same Posit Science computerized CT, 4 h/week, using BrainHQ and SocialVille programs. The CT&E group also participated in total body circuit training exercises to enhance aerobic conditioning. Clinic and home-based exercise were combined for a target of 150 min per week. RESULTS The MATRICS Consensus Cognitive Battery Overall Composite improved significantly more with CT&E than with CT alone (p = 0.04), particularly in the first 3 months (6.5 v. 2.2 T-score points, p < 0.02). Work/school functioning improved substantially more with CT&E than with CT alone by 6 months (p < 0.001). BDNF gain tended to predict the amount of cognitive gain but did not reach significance. The cognitive gain by 3 months predicted the amount of work/school functioning improvement at 6 months. The amount of exercise completed was strongly associated with the degree of cognitive and work/school functioning improvement. CONCLUSIONS Aerobic exercise significantly enhances the impact of CT on cognition and functional outcome in first-episode schizophrenia, apparently driven by the amount of exercise completed.
Collapse
Affiliation(s)
- Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
- Department of Psychology, University of California, Los Angeles, USA
| | - Sarah C. McEwen
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Luana R. Turner
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Michael Boucher
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Laurie R. Casaus
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Margaret G. Distler
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| | - Jacqueline N. Hayata
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, USA
| |
Collapse
|
2
|
Subotnik KL, McEwen SC, Ventura J, Turner LR, Sturdevant Y, Niess TL, Casaus LR, Distler MG, Zito MF, Hellemann GS, Nguyen CD, Nuechterlein KH. Exercise Predicts a Good Night's Sleep: Preliminary Findings from a UCLA Study of First-Episode Schizophrenia. Behav Sci (Basel) 2023; 13:88. [PMID: 36829317 PMCID: PMC9952381 DOI: 10.3390/bs13020088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 12/18/2022] [Accepted: 01/13/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Physical exercise can improve sleep quality in the general population. Understanding the negative impact of poor sleep quality on multiple domains of functioning among persons with schizophrenia is a new frontier of exploration. It is also imperative to investigate non-pharmacologic methods to improve sleep quality as these approaches may not carry the side effect burdens associated with medication. OBJECTIVE We examined the relationship between regular physical exercise and sleep quality among participants in an intervention consisting of both cognitive training and exercise. METHODS Participants (N = 48) were schizophrenia patients who had a first psychotic episode within two years of study entry. Participants received 4 h/week of internet-based cognitive training and an aerobic exercise program over a 6-month period. Sleep was assessed with the Pittsburgh Sleep Quality Index at baseline and six months later. RESULTS During the 3 months prior to the 6-month follow-up sleep assessment, participants completed an average of 12.6 group exercise sessions and an average of 12.9 individual at-home exercise sessions. A significant relationship between the number of exercise sessions and global sleep quality was seen at month six, r = -0.44, df = 39, p < 0.01. Group exercise frequency was also associated with improvement in global sleep quality over the six-month intervention, t(34) = -2.84, p = 0.008. CONCLUSION We demonstrated that a group of young adults with schizophrenia can be engaged in a regular exercise program, even during the tumultuous early course of the disorder. The number of exercise sessions in which they participated was associated with better sleep quality at six months and pre-postintervention improvement in sleep quality. KEY MESSAGE Improved sleep quality appears to be a benefit of regular exercise among individuals with serious mental illness.
Collapse
Affiliation(s)
- Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Sarah C. McEwen
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
- atai Life Sciences, San Diego, CA 92130, USA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Luana Rene Turner
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Yurika Sturdevant
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Trudy L. Niess
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Laurie R. Casaus
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Margaret G. Distler
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Michael F. Zito
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Gerhard S. Hellemann
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Clara D. Nguyen
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
| | - Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA
- Department of Psychology, UCLA, Los Angeles, CA 90095, USA
| |
Collapse
|
3
|
McEwen SC, Jarrahi B, Ventura J, Subotnik KL, Nguyen J, Woo SM, Nuechterlein KH. A combined exercise and cognitive training intervention induces fronto-cingulate cortical plasticity in first-episode psychosis patients. Schizophr Res 2023; 251:12-21. [PMID: 36527955 DOI: 10.1016/j.schres.2022.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 11/02/2022] [Accepted: 12/01/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Schizophrenia (SZ) is characterized by neurobiological and associated cognitive and functional deficits, including pronounced cortical thinning, that lead to acute and long-term functional impairment. Research with older adults supports the role of non-pharmacological interventions, such as exercise (E) and cognitive training (CT), for cognitive impairments. This literature influenced the development of combined CT&E treatments for individuals with SZ. However, the impact of longer combined treatment duration (6 months) on neuroanatomy has yet to be explored in patients in the early course of the illness. The impact of adding exercise to cognitive training for key brain regions associated with higher-order cognition was examined here using magnetic resonance imaging (MRI) in first-episode psychosis (FEP) patients. METHODS UCLA Aftercare Research Program patients with a recent first episode of schizophrenia were randomly assigned to either combined cognitive and exercise training (CT&E) (N = 20) or cognitive training alone (CT) (N = 17) intervention. Cortical thickness was measured longitudinally and analyzed for two regions of interest using FreeSurfer. RESULTS Compared to patients in the CT group, those in the CT&E group demonstrated an increase in cortical thickness within the left anterior cingulate cortex over the six-month treatment period (ACC: F(1, 35) = 4.666, P < .04). Directional tendencies were similar in the left dorsolateral prefrontal cortex (DLPFC: F(1,35) = 4.132, P < .05). CONCLUSIONS These findings suggest that exercise and cognitive training may synergistically increase fronto-cingulate cortical thickness to mitigate progressive neural atrophy in the early course of SZ. This combined intervention appears to be a valuable adjunct to standard pharmacologic treatment in FEP patients.
Collapse
Affiliation(s)
- S C McEwen
- Pacific Brain Health Center, Pacific Neuroscience Institute, Santa Monica, CA, 90404, United States of America; atai Life Sciences, San Diego, CA, 92130, United States of America; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, United States of America
| | - B Jarrahi
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, United States of America; Department of Anesthesia, Stanford University School of Medicine, Palo Alto, CA 94304, United States of America
| | - J Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, United States of America
| | - K L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, United States of America
| | - J Nguyen
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, United States of America
| | - S M Woo
- Graduate School of Education & Psychology, Pepperdine University, Los Angeles, CA 90045, United States of America
| | - K H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience & Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, United States of America; Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095, United States of America.
| |
Collapse
|
4
|
Le TP, Ventura J, Ruiz-Yu B, McEwen SC, Subotnik KL, Nuechterlein KH. Treatment engagement in first-episode schizophrenia: Associations between intrinsic motivation and attendance during cognitive training and an aerobic exercise program. Schizophr Res 2023; 251:59-65. [PMID: 36577235 PMCID: PMC10163954 DOI: 10.1016/j.schres.2022.12.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 09/21/2022] [Accepted: 12/16/2022] [Indexed: 12/28/2022]
Abstract
Systematic cognitive training and aerobic exercise programs have emerged as promising interventions to improve cognitive deficits in first-episode schizophrenia, with successful outcomes closely linked with greater treatment engagement (e.g., higher attendance and homework completion rates). Unfortunately, treatment disengagement from these services remains a persistent issue. Intrinsic motivation, or the willingness to exert effort because a task is inherently interesting or meaningful, has emerged as a promising malleable personal factor to enhance treatment engagement. This study investigated whether early task-specific intrinsic motivation and its domains (e.g., interest, perceived competence, and value) predicted treatment engagement within the context of intensive cognitive training and aerobic exercise interventions over a 6-month period. Thirty-nine participants with first-episode schizophrenia were administered baseline measures of task-specific intrinsic motivation inventories, one for cognitive training and one for exercise, and completed a 6-month randomized clinical trial comparing a neuroplasticity-based cognitive training plus aerobic exercise program against the same cognitive training alone. Results indicated that higher baseline scores of intrinsic motivation for cognitive training, specifically early perceptions of task interest and value, were predictive of greater cognitive training and exercise group attendance. Scores for exercise-specific intrinsic motivation were generally unrelated to indices of exercise participation, with the exception that the gain over time in perceived choice for exercise was linked with greater exercise homework completion and a similar directional tendency for greater in-clinic exercise attendance. This study provides support for monitoring and enhancing motivation early during service delivery to maximize engagement and the likelihood of successful treatment outcomes.
Collapse
Affiliation(s)
- Thanh P Le
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Bernalyn Ruiz-Yu
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | | | - Kenneth L Subotnik
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA; Department of Psychology, University of California, Los Angeles, CA, USA
| |
Collapse
|
5
|
Jarrahi B, McEwen SC, Holschneider DP, Schiehser DM, Petkus AJ, Gomez ME, Van Horn JD, Filoteo V, Jakowec MW, Petzinger GM. The Effects of Cardiorespiratory and Motor Skill Fitness on Intrinsic Functional Connectivity of Neural Networks in Individuals with Parkinson's Disease. Brain Plast 2021; 7:77-95. [PMID: 34868875 PMCID: PMC8609487 DOI: 10.3233/bpl-200115] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2021] [Indexed: 11/26/2022] Open
Abstract
Background: Studies in aging older adults have shown the positive association between cognition and exercise related fitness, particularly cardiorespiratory fitness. These reports have also demonstrated the association of high cardiorespiratory fitness, as well as other types of fitness, on the reversal of age-related decline in neural network connectivity, highlighting the potential role of fitness on age- and disease-related brain changes. While the clinical benefits of exercise are well-documented in Parkinson’s disease (PD), the extent to which cardiorespiratory fitness (assessed by estimated VO2max testing) or motor skill fitness (assessed by the Physical Performance Test (PPT)) affects neural network connectivity in PD remains to be investigated. The purpose of this study was to explore the hypothesis that higher fitness level is associated with an increase in the intrinsic network connectivity of cognitive networks commonly affected in PD. Methods: In this cross-sectional resting state fMRI, we used a multivariate statistical approach based on high-dimensional independent component analysis (ICA) to investigate the association between two independent fitness metrics (estimated VO2max and PPT) and resting state network connectivity. Results: We found that increased estimated VO2max was associated with increased within network connectivity in cognitive networks known to be impaired in PD, including those sub-serving memory and executive function. There was a similar trend for high levels of PPT to be associated with increased within network connectivity in distinct resting state networks. The between functional network connectivity analysis revealed that cardiorespiratory fitness was associated with increased functional connectivity between somatosensory motor network and several cognitive networks sub-serving memory, attention, and executive function. Conclusion: This study provides important empirical data supporting the potential association between two forms of fitness and multiple resting state networks impacting PD cognition. Linking fitness to circuit specific modulation of resting state network connectivity will help establish a neural basis for the positive effects of fitness and specific exercise modalities and provide a foundation to identify underlying mechanisms to promote repair.
Collapse
Affiliation(s)
- Behnaz Jarrahi
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California, USA
| | - Sarah C McEwen
- Pacific Brain Health Center, Pacific Neuroscience Institute, Santa Monica, CA, USA.,Department of Translational Neurosciences and Neurotherapeutics, Providence Saint John's Cancer Institute, Santa Monica, CA, USA
| | - Daniel P Holschneider
- Department of Neurology, University of Southern California, Los Angeles, CA, USA.,Department of Psychiatry and the Behavioral Sciences, University of Southern California, San Pablo St., Los Angeles, CA, USA
| | - Dawn M Schiehser
- Research & Psychology Services, VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.,Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Andrew J Petkus
- Department of Neurology, University of Southern California, Los Angeles, CA, USA
| | - Megan E Gomez
- Department of Psychology, Tibor Rubin Veterans Administration Medical Center, Long Beach, CA, USA
| | - Jack D Van Horn
- Department of Psychology and School of Data Science, University of Virginia, Charlottesville, VA, USA
| | - Vincent Filoteo
- Research & Psychology Services, VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.,Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Michael W Jakowec
- Department of Neurology, University of Southern California, Los Angeles, CA, USA
| | - Giselle M Petzinger
- Department of Neurology, University of Southern California, Los Angeles, CA, USA
| |
Collapse
|
6
|
Galvin JE, Cummings JL, Benea ML, de Moor C, Atri A, Porter VR, McEwen SC, Rubino I. ICARE AD‐US: Design of a prospective, single‐arm, multicenter, noninterventional real‐world study of aducanumab in the United States. Alzheimers Dement 2021. [DOI: 10.1002/alz.057522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
| | - Jeffrey L. Cummings
- Center for Transformative Neuroscience Department of Brain Health School of Integrated Health Sciences University of Nevada Las Vegas (UNLV) Las Vegas NV USA
| | | | | | - Alireza Atri
- Brigham and Women’s Hospital and Harvard Medical School Boston MA USA
- Banner Sun Health Research Institute/Banner Health Sun City AZ USA
| | | | | | | |
Collapse
|
7
|
McEwen SC, Merrill DA, Bramen J, Porter V, Panos S, Kaiser S, Hodes J, Ganapathi A, Bell L, Bookheimer T, Glatt R, Rapozo M, Ross MK, Price ND, Kelly D, Funk CC, Hood L, Roach JC. A systems-biology clinical trial of a personalized multimodal lifestyle intervention for early Alzheimer's disease. Alzheimers Dement (N Y) 2021; 7:e12191. [PMID: 34295960 PMCID: PMC8290633 DOI: 10.1002/trc2.12191] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/29/2021] [Accepted: 05/12/2021] [Indexed: 02/01/2023]
Abstract
INTRODUCTION There is an urgent need to develop effective interventional treatments for people with Alzheimer's disease (AD). AD results from a complex multi-decade interplay of multiple interacting dysfunctional biological systems that have not yet been fully elucidated. Epidemiological studies have linked several modifiable lifestyle factors with increased incidence for AD. Because monotherapies have failed to prevent or ameliorate AD, interventional studies should deploy multiple, targeted interventions that address the dysfunctional systems that give rise to AD. METHODS This randomized controlled trial (RCT) will examine the efficacy of a 12-month personalized, multimodal, lifestyle intervention in 60 mild cognitive impairment (MCI) and early stage AD patients (aged 50+, amyloid positivity). Both groups receive data-driven, lifestyle recommendations designed to target multiple systemic pathways implicated in AD. One group receives these personalized recommendations without coaching. The other group receives personalized recommendations with health coaching, dietary counseling, exercise training, cognitive stimulation, and nutritional supplements. We collect clinical, proteomic, metabolomic, neuroimaging, and genetic data to fuel systems-biology analyses. We will examine effects on cognition and hippocampal volume. The overarching goal of the study is to longitudinally track biological systems implicated in AD to reveal the dynamics between these systems during the intervention to understand differences in treatment response. RESULTS We have developed and implemented a protocol for a personalized, multimodal intervention program for early AD patients. We began enrollment in September 2019; we have enrolled a third of our target (20 of 60) with a 95% retention and 86% compliance rate. DISCUSSION This study presents a paradigm shift in designing multimodal, lifestyle interventions to reduce cognitive decline, and how to elucidate the biological systems being targeted. Analytical efforts to explain mechanistic or causal underpinnings of individual trajectories and the interplay between multi-omic variables will inform the design of future hypotheses and development of effective precision medicine trials.
Collapse
Affiliation(s)
- Sarah C. McEwen
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
- Providence Saint John's Cancer InstituteDepartment of Translational Neurosciences and NeurotherapeuticsSanta MonicaCaliforniaUSA
| | - David A. Merrill
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
- Providence Saint John's Cancer InstituteDepartment of Translational Neurosciences and NeurotherapeuticsSanta MonicaCaliforniaUSA
| | - Jennifer Bramen
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
- Providence Saint John's Cancer InstituteDepartment of Translational Neurosciences and NeurotherapeuticsSanta MonicaCaliforniaUSA
| | - Verna Porter
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
- Providence Saint John's Cancer InstituteDepartment of Translational Neurosciences and NeurotherapeuticsSanta MonicaCaliforniaUSA
| | - Stella Panos
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
- Providence Saint John's Cancer InstituteDepartment of Translational Neurosciences and NeurotherapeuticsSanta MonicaCaliforniaUSA
| | - Scott Kaiser
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
- Providence Saint John's Cancer InstituteDepartment of Translational Neurosciences and NeurotherapeuticsSanta MonicaCaliforniaUSA
| | - John Hodes
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
| | - Aarthi Ganapathi
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
- Providence Saint John's Cancer InstituteDepartment of Translational Neurosciences and NeurotherapeuticsSanta MonicaCaliforniaUSA
| | - Lesley Bell
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
| | - Tess Bookheimer
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
| | - Ryan Glatt
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
| | - Molly Rapozo
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
| | - Mary Kay Ross
- Brain Health and Research InstituteSeattleWashingtonUSA
| | | | - Daniel Kelly
- Pacific Neuroscience InstitutePacific Brain Health CenterSanta MonicaCaliforniaUSA
- Providence Saint John's Cancer InstituteDepartment of Translational Neurosciences and NeurotherapeuticsSanta MonicaCaliforniaUSA
| | - Cory C. Funk
- Institute for Systems BiologySeattleWashingtonUSA
| | - Leroy Hood
- Providence St. Joseph HealthRentonWashingtonUSA
| | | |
Collapse
|
8
|
Cao H, Chen OY, McEwen SC, Forsyth JK, Gee DG, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Carrión RE, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Thermenos H, Tsuang MT, van Erp TGM, Walker EF, Hamann S, Anticevic A, Woods SW, Cannon TD. Cross-paradigm connectivity: reliability, stability, and utility. Brain Imaging Behav 2021; 15:614-629. [PMID: 32361945 DOI: 10.1007/s11682-020-00272-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
While functional neuroimaging studies typically focus on a particular paradigm to investigate network connectivity, the human brain appears to possess an intrinsic "trait" architecture that is independent of any given paradigm. We have previously proposed the use of "cross-paradigm connectivity (CPC)" to quantify shared connectivity patterns across multiple paradigms and have demonstrated the utility of such measures in clinical studies. Here, using generalizability theory and connectome fingerprinting, we examined the reliability, stability, and individual identifiability of CPC in a group of highly-sampled healthy traveling subjects who received fMRI scans with a battery of five paradigms across multiple sites and days. Compared with single-paradigm connectivity matrices, the CPC matrices showed higher reliability in connectivity diversity, lower reliability in connectivity strength, higher stability, and higher individual identification accuracy. All of these assessments increased as a function of number of paradigms included in the CPC analysis. In comparisons involving different paradigm combinations and different brain atlases, we observed significantly higher reliability, stability, and identifiability for CPC matrices constructed from task-only data (versus those from both task and rest data), and higher identifiability but lower stability for CPC matrices constructed from the Power atlas (versus those from the AAL atlas). Moreover, we showed that multi-paradigm CPC matrices likely reflect the brain's "trait" structure that cannot be fully achieved from single-paradigm data, even with multiple runs. The present results provide evidence for the feasibility and utility of CPC in the study of functional "trait" networks and offer some methodological implications for future CPC studies.
Collapse
Affiliation(s)
- Hengyi Cao
- Department of Psychology, Yale University, 2 Hillhouse Avenue, New Haven, CT, USA.
| | - Oliver Y Chen
- Department of Engineering Science, University of Oxford, Oxford, UK
| | - Sarah C McEwen
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.,Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Jennifer K Forsyth
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.,Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Dylan G Gee
- Department of Psychology, Yale University, 2 Hillhouse Avenue, New Haven, CT, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.,Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Jean Addington
- Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Canada
| | - Bradley Goodyear
- Departments of Radiology, Clinical Neuroscience and Psychiatry, University of Calgary, Calgary, Canada
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Heline Mirzakhanian
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Barbara A Cornblatt
- Department of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Ricardo E Carrión
- Department of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Daniel H Mathalon
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | | | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
| | - Heidi Thermenos
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ming T Tsuang
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Theo G M van Erp
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Stephan Hamann
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Alan Anticevic
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, 2 Hillhouse Avenue, New Haven, CT, USA.,Department of Psychiatry, Yale University, New Haven, CT, USA
| |
Collapse
|
9
|
Petkus AJ, Jarrahi B, Holschneider DP, Gomez ME, Filoteo JV, Schiehser DM, Fisher BE, Van Horn JD, Jakowec MW, McEwen SC, Petzinger G. Thalamic volume mediates associations between cardiorespiratory fitness (VO 2max) and cognition in Parkinson's disease. Parkinsonism Relat Disord 2021; 86:19-26. [PMID: 33819900 DOI: 10.1016/j.parkreldis.2021.03.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 03/15/2021] [Accepted: 03/18/2021] [Indexed: 01/14/2023]
Abstract
INTRODUCTION Cognitive deficits occur in Parkinson's disease (PD). Cardiorespiratory fitness (CRF) is associated with better cognitive performance in aging especially in executive function (EF) and memory. The association between CRF and cognitive performance is understudied in people with PD. Brain structures underlying associations also remains unknown. This cross-sectional study examined the associations between CRF and cognitive performance in PD. We also examined associations between CRF and brain structures impacted in PD. Mediation analysis were conducted to examine whether brain structures impacted in PD mediate putative associations between CRF and cognitive performance. METHODS Individuals with PD (N = 33) underwent magnetic resonance imaging (MRI), CRF evaluation (estimated VO2max), and neuropsychological assessment. Composite cognitive scores of episodic memory, EF, attention, language, and visuospatial functioning were generated. Structural equation models were constructed to examine whether MRI volume estimates (thalamus and pallidum) mediated associations between CRF and cognitive performance (adjusting for age, education, PD disease duration, sex, MDS-UPDRS motor score, and total intracranial volume). RESULTS Higher CRF was associated with better episodic memory (Standardized β = 0.391; p = 0.008), EF (Standardized β = 0.324; p = 0.025), and visuospatial performance (Standardized β = 0.570; p = 0.005). Higher CRF was associated with larger thalamic (Standardized β = 0.722; p = 0.004) and pallidum (Standardized β = 0.635; p = 0.004) volumes. Thalamic volume mediated the association between higher CRF and better EF (Indirect effect = 0.309) and episodic memory (Indirect effect = 0.209) performance (p < 0.05). The pallidum did not significantly mediate associations between CRF and cognitive outcomes. CONCLUSION The thalamus plays an important role in the association between CRF and both EF and episodic memory in PD.
Collapse
Affiliation(s)
- Andrew J Petkus
- Department of Neurology, University of Southern California, 1520 San Pablo St., HCC-2, Suite 3000, Los Angeles, CA, 90033, USA.
| | - Behnaz Jarrahi
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, 94305, USA
| | - Daniel P Holschneider
- Department of Neurology, University of Southern California, 1520 San Pablo St., HCC-2, Suite 3000, Los Angeles, CA, 90033, USA; Department of Psychiatry and the Behavioral Sciences, University of Southern California, 1333 San Pablo St., Los Angeles, CA, 90033, USA
| | - Megan E Gomez
- Department of Psychology, Tibor Rubin Veterans Administration Medical Center, Long Beach, CA, 90822, USA
| | - J Vincent Filoteo
- Psychology and Research Services, Veterans Administration San Diego Health Care System, San Diego, CA, 92161, USA; Departments of Psychiatry and Neurosciences, University of California San Diego, 9500 Gilman Dr., La Jolla, CA, 92093, USA
| | - Dawn M Schiehser
- Psychology and Research Services, Veterans Administration San Diego Health Care System, San Diego, CA, 92161, USA; Departments of Psychiatry and Neurosciences, University of California San Diego, 9500 Gilman Dr., La Jolla, CA, 92093, USA
| | - Beth E Fisher
- Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, 90033, USA
| | - John D Van Horn
- Department of Psychology and School of Data Science, University of Virginia, Charlottesville, VA, 22904, USA
| | - Michael W Jakowec
- Department of Neurology, University of Southern California, 1520 San Pablo St., HCC-2, Suite 3000, Los Angeles, CA, 90033, USA
| | - Sarah C McEwen
- Department of Translational Neurosciences and Neurotherapeutics, Saint John's Cancer Institute, Santa Monica, CA, 90404, USA
| | - Giselle Petzinger
- Department of Neurology, University of Southern California, 1520 San Pablo St., HCC-2, Suite 3000, Los Angeles, CA, 90033, USA
| |
Collapse
|
10
|
Cao H, Chung Y, McEwen SC, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Carrión R, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Seidman LJ, Thermenos H, Tsuang MT, van Erp TG, Walker EF, Hamann S, Anticevic A, Woods SW, Cannon TD. Progressive reconfiguration of resting-state brain networks as psychosis develops: Preliminary results from the North American Prodrome Longitudinal Study (NAPLS) consortium. Schizophr Res 2020; 226:30-37. [PMID: 30704864 PMCID: PMC8376298 DOI: 10.1016/j.schres.2019.01.017] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 11/13/2018] [Accepted: 01/19/2019] [Indexed: 01/02/2023]
Abstract
Mounting evidence has shown disrupted brain network architecture across the psychosis spectrum. However, whether these changes relate to the development of psychosis is unclear. Here, we used graph theoretical analysis to investigate longitudinal changes in resting-state brain networks in samples of 72 subjects at clinical high risk (including 8 cases who converted to full psychosis) and 48 healthy controls drawn from the North American Prodrome Longitudinal Study (NAPLS) consortium. We observed progressive reduction in global efficiency (P = 0.006) and increase in network diversity (P = 0.001) in converters compared with non-converters and controls. More refined analysis separating nodes into nine key brain networks demonstrated that these alterations were primarily driven by progressively diminished local efficiency in the default-mode network (P = 0.004) and progressively enhanced node diversity across all networks (P < 0.05). The change rates of network efficiency and network diversity were significantly correlated (P = 0.003), suggesting these changes may reflect shared neural mechanisms. In addition, change rates of global efficiency and node diversity were significantly correlated with change rate of cortical thinning in the prefrontal cortex in converters (P < 0.03) and could be predicted by visuospatial memory scores at baseline (P < 0.04). These results provide preliminary evidence for longitudinal reconfiguration of resting-state brain networks during psychosis development and suggest that decreased network efficiency, reflecting an increase in path length between nodes, and increased network diversity, reflecting a decrease in the consistency of functional network organization, may be implicated in the progression to full psychosis.
Collapse
Affiliation(s)
- Hengyi Cao
- Department of Psychology, Yale University, New Haven, CT, USA.
| | - Yoonho Chung
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Sarah C. McEwen
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Canada
| | - Bradley Goodyear
- Departments of Radiology, Clinical Neuroscience and Psychiatry, University of Calgary, Calgary, Canada
| | - Kristin S. Cadenhead
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Heline Mirzakhanian
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | | | - Ricardo Carrión
- Department of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Daniel H. Mathalon
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | | | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
| | - Larry J. Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Heidi Thermenos
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ming T. Tsuang
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Theo G.M. van Erp
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | | | - Stephan Hamann
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Alan Anticevic
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Scott W. Woods
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Tyrone D. Cannon
- Department of Psychology, Yale University, New Haven, CT, USA,Department of Psychiatry, Yale University, New Haven, CT, USA,Corresponding authors at: Department of Psychology, Yale University, 2 Hillhouse Avenue, New Haven, CT, USA. (H. Cao), (T.D. Cannon)
| |
Collapse
|
11
|
Cao H, McEwen SC, Forsyth JK, Gee DG, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Carrión RE, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Seidman LJ, Thermenos H, Tsuang MT, van Erp TGM, Walker EF, Hamann S, Anticevic A, Woods SW, Cannon TD. Toward Leveraging Human Connectomic Data in Large Consortia: Generalizability of fMRI-Based Brain Graphs Across Sites, Sessions, and Paradigms. Cereb Cortex 2020. [PMID: 29522112 DOI: 10.1093/cercor/bhy032] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
While graph theoretical modeling has dramatically advanced our understanding of complex brain systems, the feasibility of aggregating connectomic data in large imaging consortia remains unclear. Here, using a battery of cognitive, emotional and resting fMRI paradigms, we investigated the generalizability of functional connectomic measures across sites and sessions. Our results revealed overall fair to excellent reliability for a majority of measures during both rest and tasks, in particular for those quantifying connectivity strength, network segregation and network integration. Processing schemes such as node definition and global signal regression (GSR) significantly affected resulting reliability, with higher reliability detected for the Power atlas (vs. AAL atlas) and data without GSR. While network diagnostics for default-mode and sensori-motor systems were consistently reliable independently of paradigm, those for higher-order cognitive systems were reliable predominantly when challenged by task. In addition, based on our present sample and after accounting for observed reliability, satisfactory statistical power can be achieved in multisite research with sample size of approximately 250 when the effect size is moderate or larger. Our findings provide empirical evidence for the generalizability of brain functional graphs in large consortia, and encourage the aggregation of connectomic measures using multisite and multisession data.
Collapse
Affiliation(s)
- Hengyi Cao
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Sarah C McEwen
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Jennifer K Forsyth
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Dylan G Gee
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Canada
| | - Bradley Goodyear
- Departments of Radiology, Clinical Neuroscience and Psychiatry, University of Calgary, Calgary, Canada
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Heline Mirzakhanian
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Barbara A Cornblatt
- Department of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Ricardo E Carrión
- Department of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Daniel H Mathalon
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | | | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Heidi Thermenos
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ming T Tsuang
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Theo G M van Erp
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Stephan Hamann
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Alan Anticevic
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA.,Department of Psychiatry, Yale University, New Haven, CT, USA
| |
Collapse
|
12
|
Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Ching CRK, McMahon MAB, Shatokhina N, Zsembik LCP, Thomopoulos SI, Zhu AH, Strike LT, Agartz I, Alhusaini S, Almeida MAA, Alnæs D, Amlien IK, Andersson M, Ard T, Armstrong NJ, Ashley-Koch A, Atkins JR, Bernard M, Brouwer RM, Buimer EEL, Bülow R, Bürger C, Cannon DM, Chakravarty M, Chen Q, Cheung JW, Couvy-Duchesne B, Dale AM, Dalvie S, de Araujo TK, de Zubicaray GI, de Zwarte SMC, den Braber A, Doan NT, Dohm K, Ehrlich S, Engelbrecht HR, Erk S, Fan CC, Fedko IO, Foley SF, Ford JM, Fukunaga M, Garrett ME, Ge T, Giddaluru S, Goldman AL, Green MJ, Groenewold NA, Grotegerd D, Gurholt TP, Gutman BA, Hansell NK, Harris MA, Harrison MB, Haswell CC, Hauser M, Herms S, Heslenfeld DJ, Ho NF, Hoehn D, Hoffmann P, Holleran L, Hoogman M, Hottenga JJ, Ikeda M, Janowitz D, Jansen IE, Jia T, Jockwitz C, Kanai R, Karama S, Kasperaviciute D, Kaufmann T, Kelly S, Kikuchi M, Klein M, Knapp M, Knodt AR, Krämer B, Lam M, Lancaster TM, Lee PH, Lett TA, Lewis LB, Lopes-Cendes I, Luciano M, Macciardi F, Marquand AF, Mathias SR, Melzer TR, Milaneschi Y, Mirza-Schreiber N, Moreira JCV, Mühleisen TW, Müller-Myhsok B, Najt P, Nakahara S, Nho K, Loohuis LMO, Orfanos DP, Pearson JF, Pitcher TL, Pütz B, Quidé Y, Ragothaman A, Rashid FM, Reay WR, Redlich R, Reinbold CS, Repple J, Richard G, Riede BC, Risacher SL, Rocha CS, Mota NR, Salminen L, Saremi A, Saykin AJ, Schlag F, Schmaal L, Schofield PR, Secolin R, Shapland CY, Shen L, Shin J, Shumskaya E, Sønderby IE, Sprooten E, Tansey KE, Teumer A, Thalamuthu A, Tordesillas-Gutiérrez D, Turner JA, Uhlmann A, Vallerga CL, van derMeer D, van Donkelaar MMJ, van Eijk L, van Erp TGM, van Haren NEM, van Rooij D, van Tol MJ, Veldink JH, Verhoef E, Walton E, Wang M, Wang Y, Wardlaw JM, Wen W, Westlye LT, Whelan CD, Witt SH, Wittfeld K, Wolf C, Wolfers T, Wu JQ, Yasuda CL, Zaremba D, Zhang Z, Zwiers MP, Artiges E, Assareh AA, Ayesa-Arriola R, Belger A, Brandt CL, Brown GG, Cichon S, Curran JE, Davies GE, Degenhardt F, Dennis MF, Dietsche B, Djurovic S, Doherty CP, Espiritu R, Garijo D, Gil Y, Gowland PA, Green RC, Häusler AN, Heindel W, Ho BC, Hoffmann WU, Holsboer F, Homuth G, Hosten N, Jack CR, Jang M, Jansen A, Kimbrel NA, Kolskår K, Koops S, Krug A, Lim KO, Luykx JJ, Mathalon DH, Mather KA, Mattay VS, Matthews S, Van Son JM, McEwen SC, Melle I, Morris DW, Mueller BA, Nauck M, Nordvik JE, Nöthen MM, O’Leary DS, Opel N, Martinot MLP, Pike GB, Preda A, Quinlan EB, Rasser PE, Ratnakar V, Reppermund S, Steen VM, Tooney PA, Torres FR, Veltman DJ, Voyvodic JT, Whelan R, White T, Yamamori H, Adams HHH, Bis JC, Debette S, Decarli C, Fornage M, Gudnason V, Hofer E, Ikram MA, Launer L, Longstreth WT, Lopez OL, Mazoyer B, Mosley TH, Roshchupkin GV, Satizabal CL, Schmidt R, Seshadri S, Yang Q, Alvim MKM, Ames D, Anderson TJ, Andreassen OA, Arias-Vasquez A, Bastin ME, Baune BT, Beckham JC, Blangero J, Boomsma DI, Brodaty H, Brunner HG, Buckner RL, Buitelaar JK, Bustillo JR, Cahn W, Cairns MJ, Calhoun V, Carr VJ, Caseras X, Caspers S, Cavalleri GL, Cendes F, Corvin A, Crespo-Facorro B, Dalrymple-Alford JC, Dannlowski U, de Geus EJC, Deary IJ, Delanty N, Depondt C, Desrivières S, Donohoe G, Espeseth T, Fernández G, Fisher SE, Flor H, Forstner AJ, Francks C, Franke B, Glahn DC, Gollub RL, Grabe HJ, Gruber O, Håberg AK, Hariri AR, Hartman CA, Hashimoto R, Heinz A, Henskens FA, Hillegers MHJ, Hoekstra PJ, Holmes AJ, Hong LE, Hopkins WD, Pol HEH, Jernigan TL, Jönsson EG, Kahn RS, Kennedy MA, Kircher TTJ, Kochunov P, Kwok JBJ, Le Hellard S, Loughland CM, Martin NG, Martinot JL, McDonald C, McMahon KL, Meyer-Lindenberg A, Michie PT, Morey RA, Mowry B, Nyberg L, Oosterlaan J, Ophoff RA, Pantelis C, Paus T, Pausova Z, Penninx BWJH, Polderman TJC, Posthuma D, Rietschel M, Roffman JL, Rowland LM, Sachdev PS, Sämann PG, Schall U, Schumann G, Scott RJ, Sim K, Sisodiya SM, Smoller JW, Sommer IE, St Pourcain B, Stein DJ, Toga AW, Trollor JN, Van der Wee NJA, van ‘t Ent D, Völzke H, Walter H, Weber B, Weinberger DR, Wright MJ, Zhou J, Stein JL, Thompson PM, Medland SE. The genetic architecture of the human cerebral cortex. Science 2020; 367:eaay6690. [PMID: 32193296 PMCID: PMC7295264 DOI: 10.1126/science.aay6690] [Citation(s) in RCA: 343] [Impact Index Per Article: 85.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 02/10/2020] [Indexed: 12/15/2022]
Abstract
The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.
Collapse
Affiliation(s)
- Katrina L. Grasby
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Jodie N. Painter
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Lucía Colodro-Conde
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
- Faculty of Psychology, University of Murcia, Murcia, Spain
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Derrek P. Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Personalized Healthcare, Genentech, Inc., South San Francisco, CA, USA
| | - Penelope A. Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Fabrizio Pizzagalli
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Graduate Interdepartmental Program in Neuroscience, University of California Los Angeles, Los Angeles, CA, USA
| | - Mary Agnes B. McMahon
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Natalia Shatokhina
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Leo C. P. Zsembik
- Department of Genetics and UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Alyssa H. Zhu
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Lachlan T. Strike
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Ingrid Agartz
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Saud Alhusaini
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Neurology Department, Yale School of Medicine, New Haven, CT, USA
| | - Marcio A. A. Almeida
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Dag Alnæs
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Inge K. Amlien
- Centre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Micael Andersson
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Tyler Ard
- Laboratory of Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | | | - Allison Ashley-Koch
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Joshua R. Atkins
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
| | - Manon Bernard
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Rachel M. Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Elizabeth E. L. Buimer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Robin Bülow
- Institute for Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Christian Bürger
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Dara M. Cannon
- Centre for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Mallar Chakravarty
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Qiang Chen
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Joshua W. Cheung
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Baptiste Couvy-Duchesne
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Anders M. Dale
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Shareefa Dalvie
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Tânia K. de Araujo
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Greig I. de Zubicaray
- Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Sonja M. C. de Zwarte
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Anouk den Braber
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Nhat Trung Doan
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Katharina Dohm
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Hannah-Ruth Engelbrecht
- Division of Human Genetics, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Susanne Erk
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité Universitätsmedizin Berlin corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Chun Chieh Fan
- Department of Cognitive Science, University of California San Diego, San Diego, CA, USA
| | - Iryna O. Fedko
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Sonya F. Foley
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK
| | - Judith M. Ford
- San Francisco Veterans Administration Medical Center, San Francisco, CA, USA
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Okazaki, Japan
| | - Melanie E. Garrett
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
| | - Sudheer Giddaluru
- NORMENT K.G. Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | | | - Melissa J. Green
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - Nynke A. Groenewold
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | | | - Tiril P. Gurholt
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Boris A. Gutman
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Narelle K. Hansell
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Mathew A. Harris
- Centre for Clinical Brain Sciences and Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Marc B. Harrison
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Courtney C. Haswell
- Duke UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
- Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham VA Medical Center, Durham, NC, USA
| | - Michael Hauser
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Stefan Herms
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Department of Genomics, Life & Brain Research Center, University of Bonn, Bonn, Germany
| | - Dirk J. Heslenfeld
- Department of Cognitive and Clinical Neuropsychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - New Fei Ho
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - David Hoehn
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Per Hoffmann
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Laurena Holleran
- Centre for Neuroimaging and Cognitive Genomics, School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - Martine Hoogman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - Deborah Janowitz
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Iris E. Jansen
- Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Neurology, Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Tianye Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and BrainInspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Ryota Kanai
- Department of Neuroinformatics, Araya, Inc., Tokyo, Japan
- Sackler Centre for Consciousness Science, School of Psychology, University of Sussex, Falmer, UK
- Earth-Life Science Institute, Tokyo Institute of Technology, Tokyo, Japan
| | - Sherif Karama
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
| | - Dalia Kasperaviciute
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Genomics England, Queen Mary University of London, London, UK
| | - Tobias Kaufmann
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Sinead Kelly
- Public Psychiatry Division, Massachusetts Mental Health Center, 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
| | - Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Marieke Klein
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Michael Knapp
- Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Annchen R. Knodt
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Bernd Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
- Centre for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Max Lam
- Research Division, Institute of Mental Health, Singapore, Singapore
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Thomas M. Lancaster
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Phil H. Lee
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Tristram A. Lett
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité Universitätsmedizin Berlin corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Lindsay B. Lewis
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, QC, Canada
- McGill Centre for Integrative Neuroscience, McGill University, Montreal, QC, Canada
| | - Iscia Lopes-Cendes
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Michelle Luciano
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, School of Medicine University of California, Irvine, Irvine, CA, USA
| | - Andre F. Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
| | - Samuel R. Mathias
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Tracy R. Melzer
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Brain Research New Zealand-Rangahau Roro Aotearoa, Christchurch, New Zealand
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, Netherlands
| | - Nazanin Mirza-Schreiber
- Max Planck Institute of Psychiatry, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Jose C. V. Moreira
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
- IC-Institute of Computing, Campinas, Brazil
| | - Thomas W. Mühleisen
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- Cécile and Oskar Vogt Institute of Brain Research, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Bertram Müller-Myhsok
- Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Institute of Translational Medicine, Liverpool, UK
| | - Pablo Najt
- Centre for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Soichiro Nakahara
- Department of Psychiatry and Human Behavior, School of Medicine University of California, Irvine, Irvine, CA, USA
- Drug Discovery Research, Astellas Pharmaceuticals, Miyukigaoka, Tsukuba, Ibaraki , Japan
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Loes M. Olde Loohuis
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
| | | | - John F. Pearson
- Biostatistics and Computational Biology Unit, University of Otago, Christchurch, Christchurch, New Zealand
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, Christchurch, New Zealand
| | - Toni L. Pitcher
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Brain Research New Zealand-Rangahau Roro Aotearoa, Christchurch, New Zealand
| | - Benno Pütz
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Yann Quidé
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - Anjanibhargavi Ragothaman
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Faisal M. Rashid
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - William R. Reay
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Céline S. Reinbold
- Centre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Geneviève Richard
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Brandalyn C. Riede
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Shannon L. Risacher
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Cristiane S. Rocha
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Nina R. Mota
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud university medical center, Nijmegen, Netherlands
| | - Lauren Salminen
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Arvin Saremi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Fenja Schlag
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence for Youth Mental Health, Melbourne, VIC, Australia
- The Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
- Department of Psychiatry, Vrije Universiteit University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Peter R. Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Rodrigo Secolin
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Chin Yang Shapland
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jean Shin
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Population Neuroscience & Developmental Neuroimaging, Bloorview Research Institute, University of Toronto, East York, ON, Canada
| | - Elena Shumskaya
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands
| | - Ida E. Sønderby
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Emma Sprooten
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Katherine E. Tansey
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Diana Tordesillas-Gutiérrez
- Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain
- Centro Investigacion Biomedica en Red Salud Mental, Santander, Spain
| | - Jessica A. Turner
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Mind Research Network, Albuquerque, NM, USA
| | - Anne Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Costanza L. Vallerga
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Dennis van derMeer
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | | | - Liza van Eijk
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Theo G. M. van Erp
- Department of Psychiatry and Human Behavior, School of Medicine University of California, Irvine, Irvine, CA, USA
| | - 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 Medical Center-Sophia Children’s Hospital, Rotterdam, Netherlands
| | - Daan van Rooij
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
| | - Marie-José van Tol
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Jan H. Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Ellen Verhoef
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Esther Walton
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, Bristol, UK
- Department of Psychology, University of Bath, Bath, UK
| | - Mingyuan Wang
- Research Division, Institute of Mental Health, Singapore, Singapore
| | - Yunpeng Wang
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences and Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
| | - Wei Wen
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Lars T. Westlye
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Christopher D. Whelan
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Stephanie H. Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases Rostock/Greifswald, Greifswald, Germany
| | - Christiane Wolf
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Thomas Wolfers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
| | - Jing Qin Wu
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
| | - Clarissa L. Yasuda
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
- Department of Neurology, FCM, UNICAMP, Campinas, Brazil
| | - Dario Zaremba
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Zuo Zhang
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Marcel P. Zwiers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, Netherlands
| | - Eric Artiges
- INSERM ERL Developmental Trajectories and Psychiatry; Université Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, Université de Paris, and CNRS 9010, Centre Borelli, Gif-sur-Yvette, France
| | - Amelia A. Assareh
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Rosa Ayesa-Arriola
- Centro Investigacion Biomedica en Red Salud Mental, Santander, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
| | - Aysenil Belger
- Duke UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
- Department of Psychiatry and Frank Porter Graham Child Development Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christine L. Brandt
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Gregory G. Brown
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
- VA San Diego Healthcare System, San Diego, CA, USA
| | - Sven Cichon
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | | | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Michelle F. Dennis
- Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham VA Medical Center, Durham, NC, USA
| | - Bruno Dietsche
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Colin P. Doherty
- Department of Neurology, St James’s Hospital, Dublin, Ireland
- Academic Unit of Neurology, TBSI, Dublin, Ireland
- Future Neuro, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ryan Espiritu
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Daniel Garijo
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Yolanda Gil
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Penny A. Gowland
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK
| | - Robert C. Green
- Brigham and Women’s Hospital, Boston, MA, USA
- The Broad Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Alexander N. Häusler
- Center for Economics and Neuroscience, University of Bonn, Bonn, Germany
- Institute of Experimental Epileptology and Cognition Research, University Hospital Bonn, Germany
| | - Walter Heindel
- Department of Clinical Radiology, University of Münster, Münster, Germany
| | - Beng-Choon Ho
- Department of Psychiatry, University of Iowa College of Medicine, Iowa City, IA, USA
| | - Wolfgang U. Hoffmann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases Rostock/Greifswald, Greifswald, Germany
| | - Florian Holsboer
- Max Planck Institute of Psychiatry, Munich, Germany
- HMNC Holding GmbH, Munich, Germany
| | - Georg Homuth
- University Medicine Greifswald, Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, Greifswald, Germany
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | | | - MiHyun Jang
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
- Core-Unit Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Nathan A. Kimbrel
- Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham VA Medical Center, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Knut Kolskår
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Sunnaas Rehabilitation Hospital HT, Nesodden, Norway
| | - Sanne Koops
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Kelvin O. Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Jurjen J. Luykx
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- GGNet Mental Health, Apeldoorn, Netherlands
| | - Daniel H. Mathalon
- Department of Psychiatry and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
- Mental Health Service 116d, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, USA
| | - Karen A. Mather
- Neuroscience Research Australia, Sydney, NSW, Australia
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
| | - Venkata S. Mattay
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
- Department of Radiology, Johns Hopkins University, Baltimore, MD, USA
| | - Sarah Matthews
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Jaqueline Mayoral Van Son
- Centro Investigacion Biomedica en Red Salud Mental, Santander, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
| | - Sarah C. McEwen
- Pacific Brain Health Center, Santa Monica, CA, USA
- John Wayne Cancer Institute, Santa Monica, CA, USA
| | - Ingrid Melle
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Derek W. Morris
- Centre for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Bryon A. Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | | | - Markus M. Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Daniel S. O’Leary
- Department of Psychiatry, University of Iowa College of Medicine, Iowa City, IA, USA
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Marie-Laure Paillère Martinot
- INSERM ERL Developmental Trajectories and Psychiatry; Université Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, Université de Paris, and CNRS 9010, Centre Borelli, Gif-sur-Yvette, France
- APHP.Sorbonne Université, Child and Adolescent Psychiatry Department, Pitié Salpêtrière Hospital, Paris, France
| | - G. Bruce Pike
- Radiology and Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Adrian Preda
- School of Medicine, University of California Irvine, Irvine, CA, USA
| | - Erin B. Quinlan
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Paul E. Rasser
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Priority Centre for Stroke and Brain Injury, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Varun Ratnakar
- Information Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Simone Reppermund
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Department of Developmental Disability Neuropsychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Vidar M. Steen
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Paul A. Tooney
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Fábio R. Torres
- Department of Medical Genetics and Genomic Medicine, School of Medical Sciences, University of Campinas-UNICAMP, Campinas, Brazil
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
| | - Dick J. Veltman
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, Netherlands
| | - James T. Voyvodic
- Duke UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
| | - Robert Whelan
- School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - Tonya White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children’s Hospital, Rotterdam, Netherlands
- Department of Radiology, Erasmus University Medical Centre, Rotterdam, Netherlands
| | - Hidenaga Yamamori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan
| | - Hieab H. H. Adams
- Department of Epidemiology, Erasmus MC Medical Center, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC Medical Center, Rotterdam, Netherlands
- Department of Clinical Genetics, Erasmus MC Medical Center, Rotterdam, Netherlands
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Stephanie Debette
- INSERM, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, University of Bordeaux, Bordeaux, France
- Department of Neurology, CHU de Bordeaux, Bordeaux, France
| | - Charles Decarli
- Department of Neurology, University of California, Davis, Sacramento, CA, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC Medical Center, Rotterdam, Netherlands
| | - Lenore Launer
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - W. T. Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle, WA, USA
| | - Oscar L. Lopez
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Bernard Mazoyer
- Neurodegenerative Diseases Institute UMR 5293, CNRS, CEA, University of Bordeaux, Bordeaux, France
| | - Thomas H. Mosley
- MIND Center, University of Mississippi Medical Center, Jackson, MS, USA
| | - Gennady V. Roshchupkin
- Department of Epidemiology, Erasmus MC Medical Center, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC Medical Center, Rotterdam, Netherlands
- Medical Informatics, Erasmus MC Medical Center, Rotterdam, Netherlands
| | - Claudia L. Satizabal
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Department of Epidemiology & Biostatistics, University of Texas Health Sciences Center, San Antonio, TX, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Framingham Heart Study and Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | | | | | | | | | | | | | - Marina K. M. Alvim
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
- Department of Neurology, FCM, UNICAMP, Campinas, Brazil
| | - David Ames
- Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne, VIC, Australia
- National Ageing Research Institute, Melbourne, VIC, Australia
| | - Tim J. Anderson
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Brain Research New Zealand-Rangahau Roro Aotearoa, Christchurch, New Zealand
- Department of Neurology, Canterbury District Health Board, Christchurch, New Zealand
| | - Ole A. Andreassen
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Alejandro Arias-Vasquez
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud university medical center, Nijmegen, Netherlands
| | - Mark E. Bastin
- Centre for Clinical Brain Sciences and Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Bernhard T. Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Jean C. Beckham
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- VA Mid-Atlantic Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham, VA Healthcare System, Durham, NC, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Dementia Centre for Research Collaboration, University of New South Wales, Sydney, NSW, Australia
| | - Han G. Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Clinical Genetics and School for Oncology and Developmental Biology (GROW), Maastricht University Medical Center, Maastricht, Netherlands
| | - Randy L. Buckner
- Department of Psychology and Center for Brain Science, Harvard University, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jan K. Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, Netherlands
| | - Juan R. Bustillo
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Wiepke Cahn
- Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Murray J. Cairns
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- Schizophrenia Research Institute, Randwick, NSW, Australia
| | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Vaughan J. Carr
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
- Department of Psychiatry, Monash University, Clayton, VIC, Australia
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
- JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany
- Institute for Anatomy I, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Gianpiero L. Cavalleri
- Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- The SFI FutureNeuro Research Centre, Dublin, Ireland
| | - Fernando Cendes
- BRAINN-Brazilian Institute of Neuroscience and Neurotechnology, Campinas, Brazil
- Department of Neurology, FCM, UNICAMP, Campinas, Brazil
| | - Aiden Corvin
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Benedicto Crespo-Facorro
- Centro Investigacion Biomedica en Red Salud Mental, Santander, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
- Hospital Universitario Virgen Del Rocio, IBiS, Universidad De Sevilla, Sevilla, Spain
| | - John C. Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand
- Brain Research New Zealand-Rangahau Roro Aotearoa, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Eco J. C. de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Ian J. Deary
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Norman Delanty
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
- Future Neuro, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Chantal Depondt
- Department of Neurology, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Gary Donohoe
- Centre for Neuroimaging and Cognitive Genomics, School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - Thomas Espeseth
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Guillén Fernández
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center, Nijmegen, Netherlands
| | - Simon E. Fisher
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Andreas J. Forstner
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Centre for Human Genetics, University of Marburg, Marburg, Germany
| | - Clyde Francks
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Department of Psychiatry, Radboud university medical center, Nijmegen, Netherlands
| | - David C. Glahn
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
- Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children’s Hospital and Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Randy L. Gollub
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases Rostock/Greifswald, Greifswald, Germany
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - Asta K. Håberg
- Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St. Olavs University Hospital, Trondheim, Norway
| | - Ahmad R. Hariri
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Catharina A. Hartman
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Groningen, Netherlands
| | - Ryota Hashimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan
- Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Osaka University, Suita, Japan
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Frans A. Henskens
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Health Behaviour Research Group, University of Newcastle, Callaghan, NSW, Australia
| | - Manon H. J. Hillegers
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children’s Hospital, Rotterdam, Netherlands
- Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Pieter J. Hoekstra
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Avram J. Holmes
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychology, Yale University, New Haven, CT, USA
| | - L. Elliot Hong
- Maryland Psychiatry Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - William D. Hopkins
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA
| | - Hilleke E. Hulshoff Pol
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Terry L. Jernigan
- Department of Radiology, University of California San Diego, San Diego, CA, USA
- Department of Cognitive Science, University of California San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
- Center for Human Development, University of California San Diego, La Jolla, CA, USA
| | - Erik G. Jönsson
- NORMENT-K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - 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, NY, USA
| | - Martin A. Kennedy
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, Christchurch, New Zealand
| | - Tilo T. J. Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Peter Kochunov
- Maryland Psychiatry Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - John B. J. Kwok
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
- Neurogenetics and Epigenetics, Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Stephanie Le Hellard
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Carmel M. Loughland
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter New England Mental Health Service, Newcastle, NSW, Australia
| | - Nicholas G. Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jean-Luc Martinot
- INSERM ERL Developmental Trajectories and Psychiatry; Université Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, Université de Paris, and CNRS 9010, Centre Borelli, Gif-sur-Yvette, France
| | - Colm McDonald
- Centre for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
| | - Katie L. McMahon
- Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
- Herston Imaging Research Facility, School of Clinical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Patricia T. Michie
- School of Psychology, University of Newcastle, Callaghan, NSW, Australia
| | - Rajendra A. Morey
- Duke UNC Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
- Mental Illness Research Education and Clinical Center for Post Deployment Mental Health, Durham VA Medical Center, Durham, NC, USA
| | - Bryan Mowry
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
- Queensland Centre for Mental Health Research, University of Queensland, Brisbane, QLD, Australia
| | - Lars Nyberg
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Jaap Oosterlaan
- Emma Children’s Hospital Academic Medical Center, Amsterdam, Netherlands
- Department of Pediatrics, Vrije Universiteit Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Clinical Neuropsychology section, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Roel A. Ophoff
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, USA
| | - Christos Pantelis
- Department of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
- NorthWestern Mental Health, Sunshine Hospital, St Albans, VIC, Australia
| | - Tomas Paus
- Bloorview Research Institute, University of Toronto, Toronto, ON, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
- Centre for Developing Brain, Child Mind Institute, New York, NY, USA
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON, Canada
| | - Brenda W. J. H. Penninx
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC/Vrije Universiteit and GGZ inGeest, Amsterdam, Netherlands
| | - Tinca J. C. Polderman
- Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Danielle Posthuma
- Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Department of Clinical Genetics, Vrije Universiteit Medical Centre, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Joshua L. Roffman
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Laura M. Rowland
- Maryland Psychiatry Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, NSW, Australia
| | | | - Ulrich Schall
- Priority Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Gunter Schumann
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
- PONS Research Group, Department of Psychiatry and Psychotherapie, Charité Campus Mitte, Humboldt University Berlin, Berlin, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Rodney J. Scott
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Division of Molecular Medicine, John Hunter Hospital, New Lambton Heights, NSW, Australia
| | - Kang Sim
- General Psychiatry, Institute of Mental Health, Singapore, Singapore
| | - Sanjay M. Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, ChalfontSt-Peter, UK
| | - Jordan W. Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Boston, MA, USA
| | - Iris E. Sommer
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Department of Medical and Biological Psychology, University of Bergen, Bergen, Norway
| | - Beate St Pourcain
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
- MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Dan J. Stein
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- SAMRC Unit on Risk & Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Arthur W. Toga
- Laboratory of Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Julian N. Trollor
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia
- Department of Developmental Disability Neuropsychiatry, University of New South Wales, Sydney, NSW, Australia
| | | | - Dennis van ‘t Ent
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Henrik Walter
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité Universitätsmedizin Berlin corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Bernd Weber
- Center for Economics and Neuroscience, University of Bonn, Bonn, Germany
- Institute of Experimental Epileptology and Cognition Research, University Hospital Bonn, Germany
| | - Daniel R. Weinberger
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Psychiatry, Neurology, Neuroscience, Genetics, Johns Hopkins University, Baltimore, MD, USA
| | - Margaret J. Wright
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - Juan Zhou
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jason L. Stein
- Department of Genetics and UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Sarah E. Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Psychology, University of Queensland, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | | |
Collapse
|
13
|
Espinoza FA, Vergara VM, Damaraju E, Henke KG, Faghiri A, Turner JA, Belger AA, Ford JM, McEwen SC, Mathalon DH, Mueller BA, Potkin SG, Preda A, Vaidya JG, van Erp TGM, Calhoun VD. Characterizing Whole Brain Temporal Variation of Functional Connectivity via Zero and First Order Derivatives of Sliding Window Correlations. Front Neurosci 2019; 13:634. [PMID: 31316333 PMCID: PMC6611425 DOI: 10.3389/fnins.2019.00634] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 06/03/2019] [Indexed: 11/13/2022] Open
Abstract
Brain functional connectivity has been shown to change over time during resting state fMRI experiments. Close examination of temporal changes have revealed a small set of whole-brain connectivity patterns called dynamic states. Dynamic functional network connectivity (dFNC) studies have demonstrated that it is possible to replicate the dynamic states across several resting state experiments. However, estimation of states and their temporal dynamicity still suffers from noisy and imperfect estimations. In regular dFNC implementations, states are estimated by comparing connectivity patterns through the data without considering time, in other words only zero order changes are examined. In this work we propose a method that includes first order variations of dFNC in the searching scheme of dynamic connectivity patterns. Our approach, referred to as temporal variation of functional network connectivity (tvFNC), estimates the derivative of dFNC, and then searches for reoccurring patterns of concurrent dFNC states and their derivatives. The tvFNC method is first validated using a simulated dataset and then applied to a resting-state fMRI sample including healthy controls (HC) and schizophrenia (SZ) patients and compared to the standard dFNC approach. Our dynamic approach reveals extra patterns in the connectivity derivatives complementing the already reported state patterns. State derivatives consist of additional information about increment and decrement of connectivity among brain networks not observed by the original dFNC method. The tvFNC shows more sensitivity than regular dFNC by uncovering additional FNC differences between the HC and SZ groups in each state. In summary, the tvFNC method provides a new and enhanced approach to examine time-varying functional connectivity.
Collapse
Affiliation(s)
- Flor A Espinoza
- Mind Research Network, Albuquerque, NM, United States.,Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States
| | - Victor M Vergara
- Mind Research Network, Albuquerque, NM, United States.,Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States
| | - Eswar Damaraju
- Mind Research Network, Albuquerque, NM, United States.,Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States
| | - Kyle G Henke
- Mind Research Network, Albuquerque, NM, United States.,Department of Mathematics and Statistics, The University of New Mexico, Albuquerque, NM, United States
| | - Ashkan Faghiri
- Mind Research Network, Albuquerque, NM, United States.,Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States.,Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, United States
| | - Jessica A Turner
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States.,Department of Psychology and Neuroscience, Georgia State University, Atlanta, GA, United States
| | - Aysenil A Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Judith M Ford
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.,San Francisco VA Medical Center, San Francisco, CA, United States
| | - Sarah C McEwen
- Pacific Neuroscience Institute, Santa Monica, CA, United States.,John Wayne Cancer Institute, Department of Translational Neurosciences and Neurotherapeutics, Santa Monica, CA, United States
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.,San Francisco VA Medical Center, San Francisco, CA, United States
| | - Bryon A Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
| | - Steven G Potkin
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, United States
| | - Adrian Preda
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, United States
| | - Jatin G Vaidya
- Department of Psychiatry, The University of Iowa, Iowa City, IA, United States
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, United States.,Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, United States
| | - Vince D Calhoun
- Mind Research Network, Albuquerque, NM, United States.,Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States.,Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, United States.,Department of Psychology and Neuroscience, Georgia State University, Atlanta, GA, United States
| |
Collapse
|
14
|
Cao H, McEwen SC, Chung Y, Chén OY, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Carrión RE, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Seidman LJ, Thermenos H, Tsuang MT, van Erp TGM, Walker EF, Hamann S, Anticevic A, Woods SW, Cannon TD. Altered Brain Activation During Memory Retrieval Precedes and Predicts Conversion to Psychosis in Individuals at Clinical High Risk. Schizophr Bull 2019; 45:924-933. [PMID: 30215784 PMCID: PMC6581134 DOI: 10.1093/schbul/sby122] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Memory deficits are a hallmark of psychotic disorders such as schizophrenia. However, whether the neural dysfunction underlying these deficits is present before the onset of illness and potentially predicts conversion to psychosis is unclear. In this study, we investigated brain functional alterations during memory processing in a sample of 155 individuals at clinical high risk (including 18 subjects who later converted to full psychosis) and 108 healthy controls drawn from the second phase of the North American Prodrome Longitudinal Study (NAPLS-2). All participants underwent functional magnetic resonance imaging with a paired-associate memory paradigm at the point of recruitment and were clinically followed up for approximately 2 years. We found that at baseline, subjects at high risk showed significantly higher activation during memory retrieval in the prefrontal, parietal, and bilateral temporal cortices (PFWE < .035). This effect was more pronounced in converters than nonconverters and was particularly manifested in unmedicated subjects (P < .001). The hyperactivation was significantly correlated with retrieval reaction time during scan in converters (P = .009) but not in nonconverters and controls, suggesting an exaggerated retrieval effort. These findings suggest that hyperactivation during memory retrieval may mark processes associated with conversion to psychosis, and such measures have potential as biomarkers for psychosis prediction.
Collapse
Affiliation(s)
- Hengyi Cao
- Department of Psychology, Yale University, New Haven, CT
| | - Sarah C McEwen
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA
| | - Yoonho Chung
- Department of Psychology, Yale University, New Haven, CT
| | - Oliver Y Chén
- Department of Psychology, Yale University, New Haven, CT
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Canada
| | - Bradley Goodyear
- Department of Psychiatry, University of Calgary, Calgary, Canada,Department of Radiology, University of Calgary, Calgary, Canada,Department of Clinical Neuroscience, University of Calgary, Calgary, Canada
| | | | | | | | - Ricardo E Carrión
- Department of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY
| | - Daniel H Mathalon
- Department of Psychiatry, University of California San Francisco, San Francisco, CA
| | | | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, NC
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, NC
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Heidi Thermenos
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Ming T Tsuang
- Department of Psychiatry, University of California San Diego, San Diego, CA
| | - Theo G M van Erp
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA
| | | | | | - Alan Anticevic
- Department of Psychiatry, Yale University, New Haven, CT
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, CT
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT,Department of Psychiatry, Yale University, New Haven, CT,To whom correspondence should be addressed; Department of Psychology, Yale University, 2 Hillhouse Avenue, New Haven, CT 06511, US; tel: +1-2034361545, e-mail:
| |
Collapse
|
15
|
McEwen SC, Siddarth P, Rahi B, Kim Y, Mui W, Wu P, Emerson ND, Lee J, Greenberg S, Shelton T, Kaiser S, Small GW, Merrill DA. Simultaneous Aerobic Exercise and Memory Training Program in Older Adults with Subjective Memory Impairments. J Alzheimers Dis 2019; 62:795-806. [PMID: 29480182 PMCID: PMC5870016 DOI: 10.3233/jad-170846] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Background: Several modifiable lifestyle factors have been shown to have potential beneficial effects in slowing cognitive decline. Two such factors that may affect cognitive performance and slow the progression of memory loss into dementia in older adults are cognitive training and physical activity. There are currently no effective treatments for dementia; therefore, preventative strategies to delay or prevent the onset of dementia are of critical importance. Objective: The aim of this study was to determine the relative effectiveness of simultaneous performance of memory training and aerobic exercise to a sequential performance intervention on memory functioning in older adults. Methods: 55 older adults (aged 60– 75) with subjective memory impairments (non-demented and non-MCI) completed the intervention that consisted of 90-minute small group classes held twice weekly. Participants were randomized to either 4-weeks of supervised strategy-based memory training done simultaneously while stationary cycling (SIM) or sequentially after the stationary cycling (SEQ). Standardized neurocognitive measures of memory, executive functioning, speed of processing, attention, and cognitive flexibility were assessed at baseline and post-intervention. Results: The SIM group, but not the SEQ group, had a significant improvement on composite memory following the intervention (t(51) = 2.7, p = 0.01, effect size (ES) = 0.42) and transfer to non-trained reasoning abilities (t(51) = 6.0, ES = 0.49) and complex attention (t(51) = 3.1, p = 0.003, ES = 0.70). Conversely, the SEQ group, but not the SIM, showed significant improvement in executive functioning (t(51) = 5.0, p = 0.0001, ES = 0.96). Conclusion: These findings indicate that a 4-week simultaneous memory training and aerobic exercise program is sufficient to improve memory, attention, and reasoning abilities in older adults.
Collapse
Affiliation(s)
- Sarah C McEwen
- Department of Psychiatry, School of Medicine at UCSD, La Jolla, CA, USA.,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, and Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Prabha Siddarth
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, and Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Berna Rahi
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, and Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Yena Kim
- Motion Picture Television Fund, Woodland Hills, CA, USA
| | - Wenli Mui
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, and Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Pauline Wu
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, and Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Natacha D Emerson
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, and Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Jacob Lee
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, and Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Shayna Greenberg
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, and Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Tiffany Shelton
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, and Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Scott Kaiser
- Motion Picture Television Fund, Woodland Hills, CA, USA
| | - Gary W Small
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, and Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - David A Merrill
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, and Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| |
Collapse
|
16
|
Ferri J, Ford JM, Roach BJ, Turner JA, van Erp TG, Voyvodic J, Preda A, Belger A, Bustillo J, O'Leary D, Mueller BA, Lim KO, McEwen SC, Calhoun VD, Diaz M, Glover G, Greve D, Wible CG, Vaidya JG, Potkin SG, Mathalon DH. Resting-state thalamic dysconnectivity in schizophrenia and relationships with symptoms. Psychol Med 2018; 48:2492-2499. [PMID: 29444726 DOI: 10.1017/s003329171800003x] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Schizophrenia (SZ) is a severe neuropsychiatric disorder associated with disrupted connectivity within the thalamic-cortico-cerebellar network. Resting-state functional connectivity studies have reported thalamic hypoconnectivity with the cerebellum and prefrontal cortex as well as thalamic hyperconnectivity with sensory cortical regions in SZ patients compared with healthy comparison participants (HCs). However, fundamental questions remain regarding the clinical significance of these connectivity abnormalities. METHOD Resting state seed-based functional connectivity was used to investigate thalamus to whole brain connectivity using multi-site data including 183 SZ patients and 178 matched HCs. Statistical significance was based on a voxel-level FWE-corrected height threshold of p < 0.001. The relationships between positive and negative symptoms of SZ and regions of the brain demonstrating group differences in thalamic connectivity were examined. RESULTS HC and SZ participants both demonstrated widespread positive connectivity between the thalamus and cortical regions. Compared with HCs, SZ patients had reduced thalamic connectivity with bilateral cerebellum and anterior cingulate cortex. In contrast, SZ patients had greater thalamic connectivity with multiple sensory-motor regions, including bilateral pre- and post-central gyrus, middle/inferior occipital gyrus, and middle/superior temporal gyrus. Thalamus to middle temporal gyrus connectivity was positively correlated with hallucinations and delusions, while thalamus to cerebellar connectivity was negatively correlated with delusions and bizarre behavior. CONCLUSIONS Thalamic hyperconnectivity with sensory regions and hypoconnectivity with cerebellar regions in combination with their relationship to clinical features of SZ suggest that thalamic dysconnectivity may be a core neurobiological feature of SZ that underpins positive symptoms.
Collapse
Affiliation(s)
- J Ferri
- Department of Psychiatry,University of California,San Francisco, San Francisco, CA,USA
| | - J M Ford
- Department of Psychiatry,University of California,San Francisco, San Francisco, CA,USA
| | - B J Roach
- San Francisco VA Health Care System,San Francisco, CA,USA
| | - J A Turner
- The Mind Research Network,Albuquerque, NM,USA
| | - T G van Erp
- Department of Psychiatry and Human Behavior,University of California,Irvine, Irvine, CA,USA
| | - J Voyvodic
- Department of Psychiatry,Duke University,Raleigh-Durham, NC,USA
| | - A Preda
- Department of Psychiatry and Human Behavior,University of California,Irvine, Irvine, CA,USA
| | - A Belger
- Department of Psychiatry,University of North Carolina,Chapel Hill, NC,USA
| | - J Bustillo
- Department of Psychiatry,University of New Mexico,Albuquerque, NM,USA
| | - D O'Leary
- Department of Psychiatry,University of Iowa,Iowa City, IA,USA
| | - B A Mueller
- Department of Psychiatry,University of Minnesota,Minneapolis, MN,USA
| | - K O Lim
- Department of Psychiatry,University of Minnesota,Minneapolis, MN,USA
| | - S C McEwen
- Department of Psychiatry,University of California,Los Angeles, Los Angeles, CA,USA
| | - V D Calhoun
- The Mind Research Network,Albuquerque, NM,USA
| | - M Diaz
- Department of Psychiatry,Duke University,Raleigh-Durham, NC,USA
| | - G Glover
- Department of Radiology,Stanford University,Stanford, CA,USA
| | - D Greve
- Department of Radiology,Massachusetts General Hospital,Boston, MA,USA
| | - C G Wible
- Department of Psychiatry,Harvard University,Boston, MA,USA
| | - J G Vaidya
- Department of Psychiatry,University of Iowa,Iowa City, IA,USA
| | - S G Potkin
- Department of Psychiatry and Human Behavior,University of California,Irvine, Irvine, CA,USA
| | - D H Mathalon
- Department of Psychiatry,University of California,San Francisco, San Francisco, CA,USA
| |
Collapse
|
17
|
Cao H, Chén OY, Chung Y, Forsyth JK, McEwen SC, Gee DG, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Carrión RE, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Seidman LJ, Thermenos H, Tsuang MT, van Erp TGM, Walker EF, Hamann S, Anticevic A, Woods SW, Cannon TD. Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization. Nat Commun 2018; 9:3836. [PMID: 30242220 PMCID: PMC6155100 DOI: 10.1038/s41467-018-06350-7] [Citation(s) in RCA: 125] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 08/30/2018] [Indexed: 02/07/2023] Open
Abstract
Understanding the fundamental alterations in brain functioning that lead to psychotic disorders remains a major challenge in clinical neuroscience. In particular, it is unknown whether any state-independent biomarkers can potentially predict the onset of psychosis and distinguish patients from healthy controls, regardless of paradigm. Here, using multi-paradigm fMRI data from the North American Prodrome Longitudinal Study consortium, we show that individuals at clinical high risk for psychosis display an intrinsic “trait-like” abnormality in brain architecture characterized as increased connectivity in the cerebello–thalamo–cortical circuitry, a pattern that is significantly more pronounced among converters compared with non-converters. This alteration is significantly correlated with disorganization symptoms and predictive of time to conversion to psychosis. Moreover, using an independent clinical sample, we demonstrate that this hyperconnectivity pattern is reliably detected and specifically present in patients with schizophrenia. These findings implicate cerebello–thalamo–cortical hyperconnectivity as a robust state-independent neural signature for psychosis prediction and characterization. Brain function alterations in schizophrenia and other psychotic disorders remain poorly understood. Here, the authors discover that increased neural connectivity in the cerebello-thalamo-cortical circuitry predicts psychosis in those at high risk, and is present in people with schizophrenia.
Collapse
Affiliation(s)
- Hengyi Cao
- Department of Psychology, Yale University, New Haven, CT, 06511, USA.
| | - Oliver Y Chén
- Department of Psychology, Yale University, New Haven, CT, 06511, USA
| | - Yoonho Chung
- Department of Psychology, Yale University, New Haven, CT, 06511, USA
| | - Jennifer K Forsyth
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Sarah C McEwen
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Dylan G Gee
- Department of Psychology, Yale University, New Haven, CT, 06511, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, T2N 1N4, Canada
| | - Bradley Goodyear
- Departments of Radiology, Clinical Neuroscience and Psychiatry, University of Calgary, Calgary, T2N 1N4, Canada
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California San Diego, San Diego, CA, 92093, USA
| | - Heline Mirzakhanian
- Department of Psychiatry, University of California San Diego, San Diego, CA, 92093, USA
| | - Barbara A Cornblatt
- Department of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, 11004, USA
| | - Ricardo E Carrión
- Department of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, 11004, USA
| | - Daniel H Mathalon
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, 94143, USA
| | | | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA
| | - Heidi Thermenos
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA
| | - Ming T Tsuang
- Department of Psychiatry, University of California San Diego, San Diego, CA, 92093, USA
| | - Theo G M van Erp
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92697, USA
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, 30322, USA
| | - Stephan Hamann
- Department of Psychology, Emory University, Atlanta, GA, 30322, USA
| | - Alan Anticevic
- Department of Psychiatry, Yale University, New Haven, CT, 06510, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, CT, 06510, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, 06511, USA. .,Department of Psychiatry, Yale University, New Haven, CT, 06510, USA.
| |
Collapse
|
18
|
Sui J, Qi S, van Erp TGM, Bustillo J, Jiang R, Lin D, Turner JA, Damaraju E, Mayer AR, Cui Y, Fu Z, Du Y, Chen J, Potkin SG, Preda A, Mathalon DH, Ford JM, Voyvodic J, Mueller BA, Belger A, McEwen SC, O'Leary DS, McMahon A, Jiang T, Calhoun VD. Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion. Nat Commun 2018; 9:3028. [PMID: 30072715 PMCID: PMC6072778 DOI: 10.1038/s41467-018-05432-w] [Citation(s) in RCA: 103] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2017] [Accepted: 07/04/2018] [Indexed: 01/06/2023] Open
Abstract
Cognitive impairment is a feature of many psychiatric diseases, including schizophrenia. Here we aim to identify multimodal biomarkers for quantifying and predicting cognitive performance in individuals with schizophrenia and healthy controls. A supervised learning strategy is used to guide three-way multimodal magnetic resonance imaging (MRI) fusion in two independent cohorts including both healthy individuals and individuals with schizophrenia using multiple cognitive domain scores. Results highlight the salience network (gray matter, GM), corpus callosum (fractional anisotropy, FA), central executive and default-mode networks (fractional amplitude of low-frequency fluctuation, fALFF) as modality-specific biomarkers of generalized cognition. FALFF features are found to be more sensitive to cognitive domain differences, while the salience network in GM and corpus callosum in FA are highly consistent and predictive of multiple cognitive domains. These modality-specific brain regions define-in three separate cohorts-promising co-varying multimodal signatures that can be used as predictors of multi-domain cognition.
Collapse
Affiliation(s)
- Jing Sui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.
- The Mind Research Network, Albuquerque, NM, 87106, USA.
- University of Chinese Academy of Sciences, 100049, Beijing, China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.
| | - Shile Qi
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Theo G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, 92697, USA
| | - Juan Bustillo
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Rongtao Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Dongdong Lin
- The Mind Research Network, Albuquerque, NM, 87106, USA
| | - Jessica A Turner
- The Mind Research Network, Albuquerque, NM, 87106, USA
- Department of Psychology and Neuroscience, Georgia State University, Atlanta, GA, 30302, USA
| | | | - Andrew R Mayer
- The Mind Research Network, Albuquerque, NM, 87106, USA
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Yue Cui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China
| | - Zening Fu
- The Mind Research Network, Albuquerque, NM, 87106, USA
| | - Yuhui Du
- The Mind Research Network, Albuquerque, NM, 87106, USA
| | - Jiayu Chen
- The Mind Research Network, Albuquerque, NM, 87106, USA
| | - Steven G Potkin
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, 92697, USA
| | - Adrian Preda
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, 92697, USA
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, San Francisco, CA, 94143, USA
- San Francisco VA Medical Center, San Francisco, CA, 94143, USA
| | - Judith M Ford
- Department of Psychiatry, University of California, San Francisco, CA, 94143, USA
- San Francisco VA Medical Center, San Francisco, CA, 94143, USA
| | - James Voyvodic
- Department of Radiology, Brain Imaging and Analysis Center, Duke University, Durham, NC, 27710, USA
| | - Bryon A Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, 55454, USA
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, NC, 27599, USA
| | - Sarah C McEwen
- Department of Psychiatry, University of California, San Diego, CA, 92093, USA
| | - Daniel S O'Leary
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa, IA, 52242, USA
| | - Agnes McMahon
- USC Stevens Neuroimaging and Informatics Institute, University of Southern California, San Diego, CA, 90033, USA
| | - Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China
- University of Chinese Academy of Sciences, 100049, Beijing, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China
| | - Vince D Calhoun
- The Mind Research Network, Albuquerque, NM, 87106, USA.
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, 87131, USA.
- Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, 87131, USA.
| |
Collapse
|
19
|
Bourque J, Spechler PA, Potvin S, Whelan R, Banaschewski T, Bokde AL, Bromberg U, Büchel C, Quinlan EB, Desrivières S, Flor H, Frouin V, Gowland P, Heinz A, Ittermann B, Martinot JL, Paillère-Martinot ML, McEwen SC, Nees F, Orfanos DP, Paus T, Poustka L, Smolka MN, Vetter NC, Walter H, Schumann G, Garavan H, Conrod PJ. Functional Neuroimaging Predictors of Self-Reported Psychotic Symptoms in Adolescents. Am J Psychiatry 2017; 174:566-575. [PMID: 28320226 PMCID: PMC5951182 DOI: 10.1176/appi.ajp.2017.16080897] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE This study investigated the neural correlates of psychotic-like experiences in youths during tasks involving inhibitory control, reward anticipation, and emotion processing. A secondary aim was to test whether these neurofunctional correlates of risk were predictive of psychotic symptoms 2 years later. METHOD Functional imaging responses to three paradigms-the stop-signal, monetary incentive delay, and faces tasks-were collected in youths at age 14, as part of the IMAGEN study. At baseline, youths from London and Dublin sites were assessed on psychotic-like experiences, and those reporting significant experiences were compared with matched control subjects. Significant brain activity differences between the groups were used to predict, with cross-validation, the presence of psychotic symptoms in the context of mood fluctuation at age 16, assessed in the full sample. These prediction analyses were conducted with the London-Dublin subsample (N=246) and the full sample (N=1,196). RESULTS Relative to control subjects, youths reporting psychotic-like experiences showed increased hippocampus/amygdala activity during processing of neutral faces and reduced dorsolateral prefrontal activity during failed inhibition. The most prominent regional difference for classifying 16-year-olds with mood fluctuation and psychotic symptoms relative to the control groups (those with mood fluctuations but no psychotic symptoms and those with no mood symptoms) was hyperactivation of the hippocampus/amygdala, when controlling for baseline psychotic-like experiences and cannabis use. CONCLUSIONS The results stress the importance of the limbic network's increased response to neutral facial stimuli as a marker of the extended psychosis phenotype. These findings might help to guide early intervention strategies for at-risk youths.
Collapse
Affiliation(s)
- Josiane Bourque
- Department of Psychiatry, Université de Montréal, CHU Ste-Justine Hospital, Montreal, Canada
| | - Philip A. Spechler
- Departments of Psychiatry and Psychology, University of Vermont, Berlington, Vermont, USA
| | - Stéphane Potvin
- Department of Psychiatry, Université de Montréal, IUSMM research center, Montreal, Canada
| | - Robert Whelan
- Department of Psychology, University College Dublin; Dublin, Ireland
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Arun L.W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin
| | - Uli Bromberg
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Christian Büchel
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Erin Burke Quinlan
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
| | - Sylvane Desrivières
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany,Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
| | - Vincent Frouin
- Neurospin, Commissariat à; l'Energie Atomique, CEA-Saclay Center, Paris, France
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Sud, University Paris Descartes - Sorbonne Paris Cité,Maison de Solenn, Paris, France
| | - Marie-Laure Paillère-Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Sud, University Paris Descartes - Sorbonne Paris Cité,AP-HP, Department of Adolescent Psychopathology and Medicine, Maison de Solenn, Cochin Hospital, Paris, France
| | - Sarah C. McEwen
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, California, USA
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany,Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | | | - Tomáš Paus
- Rotman Research Institute, Baycrest and Departments of Psychology and Psychiatry, University of Toronto, Toronto, Ontario, M6A 2E1, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany,Department of Child and Adolescent Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nora C. Vetter
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany
| | - Gunter Schumann
- Medical Research Council - Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Berlington, Vermont, USA
| | - Patricia J. Conrod
- Department of Psychiatry, Université de Montréal, CHU Ste-Justine Hospital, Montreal, Canada,Department of Psychological Medicine and Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | | |
Collapse
|
20
|
Noble S, Scheinost D, Finn ES, Shen X, Papademetris X, McEwen SC, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Olvet DM, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Seidman LJ, Thermenos H, Tsuang MT, van Erp TGM, Walker EF, Hamann S, Woods SW, Cannon TD, Constable RT. Multisite reliability of MR-based functional connectivity. Neuroimage 2016; 146:959-970. [PMID: 27746386 DOI: 10.1016/j.neuroimage.2016.10.020] [Citation(s) in RCA: 103] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2016] [Revised: 10/10/2016] [Accepted: 10/12/2016] [Indexed: 11/26/2022] Open
Abstract
Recent years have witnessed an increasing number of multisite MRI functional connectivity (fcMRI) studies. While multisite studies provide an efficient way to accelerate data collection and increase sample sizes, especially for rare clinical populations, any effects of site or MRI scanner could ultimately limit power and weaken results. Little data exists on the stability of functional connectivity measurements across sites and sessions. In this study, we assess the influence of site and session on resting state functional connectivity measurements in a healthy cohort of traveling subjects (8 subjects scanned twice at each of 8 sites) scanned as part of the North American Prodrome Longitudinal Study (NAPLS). Reliability was investigated in three types of connectivity analyses: (1) seed-based connectivity with posterior cingulate cortex (PCC), right motor cortex (RMC), and left thalamus (LT) as seeds; (2) the intrinsic connectivity distribution (ICD), a voxel-wise connectivity measure; and (3) matrix connectivity, a whole-brain, atlas-based approach to assessing connectivity between nodes. Contributions to variability in connectivity due to subject, site, and day-of-scan were quantified and used to assess between-session (test-retest) reliability in accordance with Generalizability Theory. Overall, no major site, scanner manufacturer, or day-of-scan effects were found for the univariate connectivity analyses; instead, subject effects dominated relative to the other measured factors. However, summaries of voxel-wise connectivity were found to be sensitive to site and scanner manufacturer effects. For all connectivity measures, although subject variance was three times the site variance, the residual represented 60-80% of the variance, indicating that connectivity differed greatly from scan to scan independent of any of the measured factors (i.e., subject, site, and day-of-scan). Thus, for a single 5min scan, reliability across connectivity measures was poor (ICC=0.07-0.17), but increased with increasing scan duration (ICC=0.21-0.36 at 25min). The limited effects of site and scanner manufacturer support the use of multisite studies, such as NAPLS, as a viable means of collecting data on rare populations and increasing power in univariate functional connectivity studies. However, the results indicate that aggregation of fcMRI data across longer scan durations is necessary to increase the reliability of connectivity estimates at the single-subject level.
Collapse
Affiliation(s)
- Stephanie Noble
- Yale University, Interdepartmental Neuroscience Program, New Haven, CT, USA.
| | - Dustin Scheinost
- Yale University, Department of Radiology and Biomedical Imaging, New Haven, CT, USA
| | - Emily S Finn
- Yale University, Interdepartmental Neuroscience Program, New Haven, CT, USA
| | - Xilin Shen
- Yale University, Department of Radiology and Biomedical Imaging, New Haven, CT, USA
| | - Xenophon Papademetris
- Yale University, Department of Radiology and Biomedical Imaging, New Haven, CT, USA; Yale University, Department of Biomedical Engineering, New Haven, CT, USA
| | - Sarah C McEwen
- University of California, Los Angeles, Departments of Psychology and Psychiatry, Los Angeles, CA, USA
| | - Carrie E Bearden
- University of California, Los Angeles, Departments of Psychology and Psychiatry, Los Angeles, CA, USA
| | - Jean Addington
- University of Calgary, Department of Psychiatry, Calgary, Alberta, Canada
| | - Bradley Goodyear
- University of Calgary, Departments of Radiology, Clinical Neurosciences and Psychiatry, Calgary, Alberta, Canada
| | - Kristin S Cadenhead
- University of California, San Diego, Department of Psychiatry, La Jolla, CA, USA
| | - Heline Mirzakhanian
- University of California, San Diego, Department of Psychiatry, La Jolla, CA, USA
| | - Barbara A Cornblatt
- Zucker Hillside Hospital, Department of Psychiatry Research, Glen Oaks, NY, USA
| | - Doreen M Olvet
- Zucker Hillside Hospital, Department of Psychiatry Research, Glen Oaks, NY, USA
| | - Daniel H Mathalon
- University of California, San Francisco, Department of Psychiatry, San Francisco, CA, USA
| | | | - Diana O Perkins
- Yale University, Department of Psychiatry, New Haven, CT, USA
| | - Aysenil Belger
- University of North Carolina, Chapel Hill, Department of Psychiatry, Chapel Hill, NC, USA
| | - Larry J Seidman
- Beth Israel Deaconess Medical Center, Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Heidi Thermenos
- Beth Israel Deaconess Medical Center, Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Ming T Tsuang
- University of California, San Diego, Department of Psychiatry, La Jolla, CA, USA
| | - Theo G M van Erp
- University of California, Irvine, Department of Psychiatry and Human Behavior, Irvine, CA, USA
| | - Elaine F Walker
- Emory University, Department of Psychology, Atlanta, GA, USA
| | - Stephan Hamann
- Emory University, Department of Psychology, Atlanta, GA, USA
| | - Scott W Woods
- Yale University, Department of Psychiatry, New Haven, CT, USA
| | - Tyrone D Cannon
- Yale University, Departments of Psychology and Psychiatry, New Haven, CT, USA
| | - R Todd Constable
- Yale University, Department of Radiology and Biomedical Imaging, New Haven, CT, USA
| |
Collapse
|
21
|
Nuechterlein KH, Ventura J, McEwen SC, Gretchen-Doorly D, Vinogradov S, Subotnik KL. Enhancing Cognitive Training Through Aerobic Exercise After a First Schizophrenia Episode: Theoretical Conception and Pilot Study. Schizophr Bull 2016; 42 Suppl 1:S44-52. [PMID: 27460618 PMCID: PMC4960434 DOI: 10.1093/schbul/sbw007] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Cognitive training (CT) and aerobic exercise have separately shown promise for improving cognitive deficits in schizophrenia. Aerobic exercise releases brain-derived neurotrophic factor, which promotes synaptic plasticity and neurogenesis. Thus, aerobic exercise provides a neurotrophic platform for neuroplasticity-based CT. The combination of aerobic exercise and CT may yield more robust effects than CT alone, particularly in the initial course of schizophrenia. In a pilot study, 7 patients with a recent onset of schizophrenia were assigned to Cognitive Training & Exercise (CT&E) and 9 to CT alone for a 10-week period. Posit Science programs were used for CT. Neurocognitive training focused on tuning neural circuits related to perceptual processing and verbal learning and memory. Social cognitive training used the same learning principles with social and affective stimuli. Both groups participated in these training sessions 2d/wk, 2h/d. The CT&E group also participated in an aerobic conditioning program for 30 minutes at our clinic 2d/wk and at home 2d/wk. The effect size for improvement in the MATRICS Consensus Cognitive Battery Overall Composite score for CT&E patients relative to CT patients was large. Functional outcome, particularly independent living skills, also tended to improve more in the CT&E than in the CT group. Muscular endurance, cardiovascular fitness, and diastolic blood pressure also showed relative improvement in the CT&E compared to the CT group. These encouraging pilot study findings support the promise of combining CT and aerobic exercise to improve the early course of schizophrenia.
Collapse
Affiliation(s)
- Keith H. Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA;,Department of Psychology, UCLA, Los Angeles, CA;,*To whom correspondence should be addressed; Department of Psychiatry and Biobehavioral Sciences, UCLA, 300 UCLA Medical Plaza, Room 2240, Los Angeles, CA 90095-6968, US; tel: 310-825-0036, fax: 310-206-3651, e-mail:
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Sarah C. McEwen
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Denise Gretchen-Doorly
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | | | - Kenneth L. Subotnik
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA
| |
Collapse
|
22
|
Shaffer JJ, Peterson MJ, McMahon MA, Bizzell J, Calhoun V, van Erp TGM, Ford JM, Lauriello J, Lim KO, Manoach DS, McEwen SC, Mathalon DH, O'Leary D, Potkin SG, Preda A, Turner J, Voyvodic J, Wible CG, Belger A. Neural Correlates of Schizophrenia Negative Symptoms: Distinct Subtypes Impact Dissociable Brain Circuits. Mol Neuropsychiatry 2015; 1:191-200. [PMID: 27606313 DOI: 10.1159/000440979] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2015] [Accepted: 09/09/2015] [Indexed: 11/19/2022]
Abstract
BACKGROUND The negative symptoms of schizophrenia include deficits in emotional expression and motivation. These deficits are stable over the course of illness and respond poorly to current medications. Previous studies have focused on negative symptoms as a single category; however, individual symptoms might be related to separate neurological disturbances. We analyzed data from the Functional Biomedical Informatics Research Network dataset to explore the relationship between individual negative symptoms and functional brain activity during an auditory oddball task. METHODS Functional magnetic resonance imaging was conducted on 89 schizophrenia patients and 106 healthy controls during a two-tone auditory oddball task. Blood oxygenation level-dependent (BOLD) signal during the target tone was correlated with severity of five negative symptom domains from the Scale for the Assessment of Negative Symptoms. RESULTS The severity of alogia, avolition/apathy and anhedonia/asociality was negatively correlated with BOLD activity in distinct sets of brain regions associated with processing of the target tone, including basal ganglia, thalamus, insular cortex, prefrontal cortex, posterior cingulate and parietal cortex. CONCLUSIONS Individual symptoms were related to different patterns of functional activation during the oddball task, suggesting that individual symptoms might arise from distinct neural mechanisms. This work has potential to inform interventions that target these symptom-related neural disruptions.
Collapse
Affiliation(s)
- Joseph J Shaffer
- Department of Psychiatry, University of North Carolina, Chapel Hill, N.C., USA
| | - Michael J Peterson
- Department of Psychiatry, University of North Carolina, Chapel Hill, N.C., USA
| | - Mary Agnes McMahon
- Colorado Clinical and Translational Sciences Institute, University of Colorado, Denver, Colo., USA
| | - Joshua Bizzell
- Department of Psychiatry, University of North Carolina, Chapel Hill, N.C., USA; Duke/University of North Carolina Brain Imaging and Analysis Center, Durham, N.C., USA
| | - Vince Calhoun
- The Mind Research Network, University of New Mexico, Albuquerque, N. Mex., USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, N. Mex., USA
| | - Theo G M van Erp
- Departments of Psychiatry and Human Behavior, University of California Irvine, Irvine, Calif., USA
| | - Judith M Ford
- Department of Psychiatry, University of California San Francisco, San Francisco, Calif., USA
| | - John Lauriello
- Department of Psychiatry, University of Missouri, Columbia, Mo., USA
| | - Kelvin O Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, Minn., USA
| | - Dara S Manoach
- Department of Psychiatry, Massachusetts General Hospital, Charlestown, Mass., USA
| | - Sarah C McEwen
- Department of Psychology, University of California Los Angeles, Los Angeles, Calif., USA
| | - Daniel H Mathalon
- Department of Psychiatry, University of California San Francisco, San Francisco, Calif., USA
| | - Daniel O'Leary
- Department of Neuroscience, University of Iowa, Iowa City, Iowa, USA
| | - Steven G Potkin
- Departments of Psychiatry, University of California Irvine, Irvine, Calif., USA; Department of Psychiatry, University of California San Francisco, San Francisco, Calif., USA
| | - Adrian Preda
- Departments of Psychiatry, University of California Irvine, Irvine, Calif., USA
| | - Jessica Turner
- Department of Psychology, Georgia State University, Atlanta, Ga., USA
| | - Jim Voyvodic
- Duke/University of North Carolina Brain Imaging and Analysis Center, Durham, N.C., USA
| | - Cynthia G Wible
- Department of Psychiatry, Harvard Medical School, Boston, Mass., USA; Department of Psychiatry, VA Medical Center Brockton, Brockton, Mass., USA
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina, Chapel Hill, N.C., USA; Duke/University of North Carolina Brain Imaging and Analysis Center, Durham, N.C., USA
| |
Collapse
|
23
|
Anticevic A, Haut K, Murray JD, Repovs G, Yang GJ, Diehl C, McEwen SC, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Olvet D, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Seidman LJ, Tsuang MT, van Erp TGM, Walker EF, Hamann S, Woods SW, Qiu M, Cannon TD. Association of Thalamic Dysconnectivity and Conversion to Psychosis in Youth and Young Adults at Elevated Clinical Risk. JAMA Psychiatry 2015; 72:882-91. [PMID: 26267151 PMCID: PMC4892891 DOI: 10.1001/jamapsychiatry.2015.0566] [Citation(s) in RCA: 243] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
IMPORTANCE Severe neuropsychiatric conditions, such as schizophrenia, affect distributed neural computations. One candidate system profoundly altered in chronic schizophrenia involves the thalamocortical networks. It is widely acknowledged that schizophrenia is a neurodevelopmental disorder that likely affects the brain before onset of clinical symptoms. However, no investigation has tested whether thalamocortical connectivity is altered in individuals at risk for psychosis or whether this pattern is more severe in individuals who later develop full-blown illness. OBJECTIVES To determine whether baseline thalamocortical connectivity differs between individuals at clinical high risk for psychosis and healthy controls, whether this pattern is more severe in those who later convert to full-blown illness, and whether magnitude of thalamocortical dysconnectivity is associated with baseline prodromal symptom severity. DESIGN, SETTING, AND PARTICIPANTS In this multicenter, 2-year follow-up, case-control study, we examined 397 participants aged 12-35 years of age (243 individuals at clinical high risk of psychosis, of whom 21 converted to full-blown illness, and 154 healthy controls). The baseline scan dates were January 15, 2010, to April 30, 2012. MAIN OUTCOMES AND MEASURES Whole-brain thalamic functional connectivity maps were generated using individuals' anatomically defined thalamic seeds, measured using resting-state functional connectivity magnetic resonance imaging. RESULTS Using baseline magnetic resonance images, we identified thalamocortical dysconnectivity in the 243 individuals at clinical high risk for psychosis, which was particularly pronounced in the 21 participants who converted to full-blown illness. The pattern involved widespread hypoconnectivity between the thalamus and prefrontal and cerebellar areas, which was more prominent in those who converted to full-blown illness (t(173) = 3.77, P < .001, Hedge g = 0.88). Conversely, there was marked thalamic hyperconnectivity with sensory motor areas, again most pronounced in those who converted to full-blown illness (t(173) = 2.85, P < .001, Hedge g = 0.66). Both patterns were significantly correlated with concurrent prodromal symptom severity (r = 0.27, P < 3.6 × 10(-8), Spearman ρ = 0.27, P < 4.75 × 10(-5), 2-tailed). CONCLUSIONS AND RELEVANCE Thalamic dysconnectivity, resembling that seen in schizophrenia, was evident in individuals at clinical high risk for psychosis and more prominently in those who later converted to psychosis. Dysconnectivity correlated with symptom severity, supporting the idea that thalamic connectivity may have prognostic implications for risk of conversion to full-blown illness.
Collapse
Affiliation(s)
- Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut2National Institute of Alcohol Abuse and Alcoholism Center for the Translational Neuroscience of Alcoholism, New Haven, Connecticut3Abraham Ribicoff Research Facilities, C
| | - Kristen Haut
- Department of Psychology, Yale University, New Haven, Connecticut
| | - John D. Murray
- Center for Neural Science, New York University, New York
| | - Grega Repovs
- Department of Psychology, University of Ljubljana, Ljubljana, Slovenia
| | - Genevieve J. Yang
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut3Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, New Haven5Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut
| | - Caroline Diehl
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut4Department of Psychology, Yale University, New Haven, Connecticut
| | - Sarah C. McEwen
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles
| | - Carrie E. Bearden
- Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Bradley Goodyear
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | | | | | | | - Doreen Olvet
- Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, New York
| | | | - Thomas H. McGlashan
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina, Chapel Hill
| | - Larry J. Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts15Massachusetts General Hospital, Boston16Department of Psychiatry, Harvard Medical School, and Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel
| | - Ming T. Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla
| | - Theo G. M. van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine
| | - Elaine F. Walker
- Departments of Psychology and Radiology, Emory University, Atlanta, Georgia
| | - Stephan Hamann
- Departments of Psychology and Radiology, Emory University, Atlanta, Georgia
| | - Scott W. Woods
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Maolin Qiu
- Department of Diagnostic Radiology and Magnetic Resonance Research Center, Yale University, New Haven, Connecticut
| | - Tyrone D. Cannon
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut4Department of Psychology, Yale University, New Haven, Connecticut
| |
Collapse
|
24
|
Gee DG, McEwen SC, Forsyth JK, Haut KM, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Olvet D, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Seidman LJ, Thermenos H, Tsuang MT, van Erp TGM, Walker EF, Hamann S, Woods SW, Constable T, Cannon TD. Reliability of an fMRI paradigm for emotional processing in a multisite longitudinal study. Hum Brain Mapp 2015; 36:2558-79. [PMID: 25821147 DOI: 10.1002/hbm.22791] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2014] [Revised: 03/03/2015] [Accepted: 03/06/2015] [Indexed: 12/14/2022] Open
Abstract
Multisite neuroimaging studies can facilitate the investigation of brain-related changes in many contexts, including patient groups that are relatively rare in the general population. Though multisite studies have characterized the reliability of brain activation during working memory and motor functional magnetic resonance imaging tasks, emotion processing tasks, pertinent to many clinical populations, remain less explored. A traveling participants study was conducted with eight healthy volunteers scanned twice on consecutive days at each of the eight North American Longitudinal Prodrome Study sites. Tests derived from generalizability theory showed excellent reliability in the amygdala ( Eρ2 = 0.82), inferior frontal gyrus (IFG; Eρ2 = 0.83), anterior cingulate cortex (ACC; Eρ2 = 0.76), insula ( Eρ2 = 0.85), and fusiform gyrus ( Eρ2 = 0.91) for maximum activation and fair to excellent reliability in the amygdala ( Eρ2 = 0.44), IFG ( Eρ2 = 0.48), ACC ( Eρ2 = 0.55), insula ( Eρ2 = 0.42), and fusiform gyrus ( Eρ2 = 0.83) for mean activation across sites and test days. For the amygdala, habituation ( Eρ2 = 0.71) was more stable than mean activation. In a second investigation, data from 111 healthy individuals across sites were aggregated in a voxelwise, quantitative meta-analysis. When compared with a mixed effects model controlling for site, both approaches identified robust activation in regions consistent with expected results based on prior single-site research. Overall, regions central to emotion processing showed strong reliability in the traveling participants study and robust activation in the aggregation study. These results support the reliability of blood oxygen level-dependent signal in emotion processing areas across different sites and scanners and may inform future efforts to increase efficiency and enhance knowledge of rare conditions in the population through multisite neuroimaging paradigms.
Collapse
Affiliation(s)
- Dylan G Gee
- Departments of Psychology and Psychiatry, University of California, Los Angeles, California
| | - Sarah C McEwen
- Departments of Psychology and Psychiatry, University of California, Los Angeles, California
| | - Jennifer K Forsyth
- Departments of Psychology and Psychiatry, University of California, Los Angeles, California
| | - Kristen M Haut
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Carrie E Bearden
- Departments of Psychology and Psychiatry, University of California, Los Angeles, California
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Bradley Goodyear
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Heline Mirzakhanian
- Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Barbara A Cornblatt
- Department of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York
| | - Doreen Olvet
- Department of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, San Francisco, California
| | | | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Heidi Thermenos
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Ming T Tsuang
- Department of Psychiatry, University of California, San Diego, La Jolla, California
| | - Theo G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, California
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, Georgia
| | - Stephan Hamann
- Department of Psychology, Emory University, Atlanta, Georgia
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, Connecticut
| | - Todd Constable
- Department of Psychiatry, Yale University, New Haven, Connecticut
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, Connecticut.,Department of Psychiatry, Yale University, New Haven, Connecticut
| |
Collapse
|
25
|
Ford JM, Palzes VA, Roach BJ, Potkin SG, van Erp TGM, Turner JA, Mueller BA, Calhoun VD, Voyvodic J, Belger A, Bustillo J, Vaidya JG, Preda A, McEwen SC, Mathalon DH. Visual hallucinations are associated with hyperconnectivity between the amygdala and visual cortex in people with a diagnosis of schizophrenia. Schizophr Bull 2015; 41:223-32. [PMID: 24619536 PMCID: PMC4266287 DOI: 10.1093/schbul/sbu031] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
INTRODUCTION While auditory verbal hallucinations (AH) are a cardinal symptom of schizophrenia, people with a diagnosis of schizophrenia (SZ) may also experience visual hallucinations (VH). In a retrospective analysis of a large sample of SZ and healthy controls (HC) studied as part of the functional magnetic resonance imaging (fMRI) Biomedical Informatics Research Network (FBIRN), we asked if SZ who endorsed experiencing VH during clinical interviews had greater connectivity between visual cortex and limbic structures than SZ who did not endorse experiencing VH. METHODS We analyzed resting state fMRI data from 162 SZ and 178 age- and gender-matched HC. SZ were sorted into groups according to clinical ratings on AH and VH: SZ with VH (VH-SZ; n = 45), SZ with AH but no VH (AH-SZ; n = 50), and SZ with neither AH nor VH (NoH-SZ; n = 67). Our primary analysis was seed based, extracting connectivity between visual cortex and the amygdala (because of its role in fear and negative emotion) and visual cortex and the hippocampus (because of its role in memory). RESULTS Compared with the other groups, VH-SZ showed hyperconnectivity between the amygdala and visual cortex, specifically BA18, with no differences in connectivity among the other groups. In a voxel-wise, whole brain analysis comparing VH-SZ with AH-SZ, the amygdala was hyperconnected to left temporal pole and inferior frontal gyrus in VH-SZ, likely due to their more severe thought broadcasting. CONCLUSIONS VH-SZ have hyperconnectivity between subcortical areas subserving emotion and cortical areas subserving higher order visual processing, providing biological support for distressing VH in schizophrenia.
Collapse
Affiliation(s)
- Judith M. Ford
- Psychiatry Service, San Francisco VA Medical Center, San Francisco, CA;,Department of Psychiatry, University of California, San Francisco, CA;,*To whom correspondence should be addressed; Psychiatry Service (116D), San Francisco VA Medical Center, 4150 Clement Street, San Francisco, CA 94121, US; tel: 415-221-4810, ext. 4187, fax: 415-750-6622, e-mail:
| | - Vanessa A. Palzes
- Psychiatry Service, San Francisco VA Medical Center, San Francisco, CA;,Department of Psychiatry, University of California, San Francisco, CA
| | - Brian J. Roach
- Psychiatry Service, San Francisco VA Medical Center, San Francisco, CA;,Department of Psychiatry, University of California, San Francisco, CA
| | - Steven G. Potkin
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA
| | - Theo G. M. van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA
| | - Jessica A. Turner
- Mind Research Network, Albuquerque, NM;,Departments of Psychology and Neuroscience, Georgia State University, Atlanta GA
| | - Bryon A. Mueller
- Department of Psychiatry, University of Minnesota, Twin Cities, Minneapolis, MN
| | - Vincent D. Calhoun
- Mind Research Network, Albuquerque, NM;,Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM
| | - Jim Voyvodic
- Brain Imaging and Analysis Center, University of North Carolina-Duke University, Durham, NC
| | - Aysenil Belger
- Brain Imaging and Analysis Center, University of North Carolina-Duke University, Durham, NC;,Department of Psychiatry, University of North Carolina, Durham, NC
| | - Juan Bustillo
- Department of Psychiatry, University of New Mexico, Albuquerque, NM
| | | | - Adrian Preda
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA
| | - Sarah C. McEwen
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA
| | | | - Daniel H. Mathalon
- Psychiatry Service, San Francisco VA Medical Center, San Francisco, CA;,Department of Psychiatry, University of California, San Francisco, CA
| |
Collapse
|
26
|
Forsyth JK, McEwen SC, Gee DG, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Olvet DM, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Seidman LJ, Thermenos HW, Tsuang MT, van Erp TGM, Walker EF, Hamann S, Woods SW, Qiu M, Cannon TD. Reliability of functional magnetic resonance imaging activation during working memory in a multi-site study: analysis from the North American Prodrome Longitudinal Study. Neuroimage 2014; 97:41-52. [PMID: 24736173 PMCID: PMC4065837 DOI: 10.1016/j.neuroimage.2014.04.027] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2013] [Revised: 02/06/2014] [Accepted: 04/06/2014] [Indexed: 10/25/2022] Open
Abstract
Multi-site neuroimaging studies offer an efficient means to study brain functioning in large samples of individuals with rare conditions; however, they present new challenges given that aggregating data across sites introduces additional variability into measures of interest. Assessing the reliability of brain activation across study sites and comparing statistical methods for pooling functional data are critical to ensuring the validity of aggregating data across sites. The current study used two samples of healthy individuals to assess the feasibility and reliability of aggregating multi-site functional magnetic resonance imaging (fMRI) data from a Sternberg-style verbal working memory task. Participants were recruited as part of the North American Prodrome Longitudinal Study (NAPLS), which comprises eight fMRI scanning sites across the United States and Canada. In the first study sample (n=8), one participant from each home site traveled to each of the sites and was scanned while completing the task on two consecutive days. Reliability was examined using generalizability theory. Results indicated that blood oxygen level-dependent (BOLD) signal was reproducible across sites and was highly reliable, or generalizable, across scanning sites and testing days for core working memory ROIs (generalizability ICCs=0.81 for left dorsolateral prefrontal cortex, 0.95 for left superior parietal cortex). In the second study sample (n=154), two statistical methods for aggregating fMRI data across sites for all healthy individuals recruited as control participants in the NAPLS study were compared. Control participants were scanned on one occasion at the site from which they were recruited. Results from the image-based meta-analysis (IBMA) method and mixed effects model with site covariance method both showed robust activation in expected regions (i.e. dorsolateral prefrontal cortex, anterior cingulate cortex, supplementary motor cortex, superior parietal cortex, inferior temporal cortex, cerebellum, thalamus, basal ganglia). Quantification of the similarity of group maps from these methods confirmed a very high (96%) degree of spatial overlap in results. Thus, brain activation during working memory function was reliable across the NAPLS sites and both the IBMA and mixed effects model with site covariance methods appear to be valid approaches for aggregating data across sites. These findings indicate that multi-site functional neuroimaging can offer a reliable means to increase power and generalizability of results when investigating brain function in rare populations and support the multi-site investigation of working memory function in the NAPLS study, in particular.
Collapse
Affiliation(s)
| | - Sarah C McEwen
- University of California, Los Angeles, Los Angeles, CA, United States
| | - Dylan G Gee
- University of California, Los Angeles, Los Angeles, CA, United States
| | - Carrie E Bearden
- University of California, Los Angeles, Los Angeles, CA, United States
| | | | | | | | | | | | | | - Daniel H Mathalon
- University of California, San Francisco, San Francisco, CA, United States
| | | | - Diana O Perkins
- University of North Carolina, Chapel Hill, Chapel Hill, NC, United States
| | - Aysenil Belger
- University of North Carolina, Chapel Hill, Chapel Hill, NC, United States
| | - Larry J Seidman
- Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
| | - Heidi W Thermenos
- Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
| | - Ming T Tsuang
- University of California, San Diego, San Diego, CA, United States
| | | | | | | | | | - Maolin Qiu
- Yale University, New Haven, CT, United States
| | | |
Collapse
|