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Hudgens-Haney ME, Clementz BA, Ivleva EI, Keshavan MS, Pearlson GD, Gershon ES, Keedy SK, Sweeney JA, Gaudoux F, Bunouf P, Canolle B, Tonner F, Gatti-McArthur S, Tamminga CA. Cognitive Impairment and Diminished Neural Responses Constitute a Biomarker Signature of Negative Symptoms in Psychosis. Schizophr Bull 2020; 46:1269-1281. [PMID: 32043133 PMCID: PMC7505197 DOI: 10.1093/schbul/sbaa001] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The treatment of negative symptoms (NS) in psychosis represents an urgent unmet medical need given the significant functional impairment it contributes to psychosis syndromes. The lack of progress in treating NS is impacted by the lack of known pathophysiology or associated quantitative biomarkers, which could provide tools for research. This current analysis investigated potential associations between NS and an extensive battery of behavioral and brain-based biomarkers in 932 psychosis probands from the B-SNIP database. The current analyses examined associations between PANSS-defined NS and (1) cognition, (2) pro-/anti-saccades, (3) evoked and resting-state electroencephalography (EEG), (4) resting-state fMRI, and (5) tractography. Canonical correlation analyses yielded symptom-biomarker constructs separately for each biomarker modality. Biomarker modalities were integrated using canonical discriminant analysis to summarize the symptom-biomarker relationships into a "biomarker signature" for NS. Finally, distinct biomarker profiles for 2 NS domains ("diminished expression" vs "avolition/apathy") were computed using step-wise linear regression. NS were associated with cognitive impairment, diminished EEG response amplitudes, deviant resting-state activity, and oculomotor abnormalities. While a connection between NS and poor cognition has been established, association to neurophysiology is novel, suggesting directions for future mechanistic studies. Each biomarker modality was related to NS in distinct and complex ways, giving NS a rich, interconnected fingerprint and suggesting that any one biomarker modality may not adequately capture the full spectrum of symptomology.
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Affiliation(s)
| | - Brett A Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA
| | - Elena I Ivleva
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Godfrey D Pearlson
- Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, CT
- Institute of Living, Hartford Hospital, Hartford, CT
| | | | - Sarah K Keedy
- Department of Psychiatry, University of Chicago, Chicago, IL
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH
| | | | | | | | | | | | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX
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Gotra MY, Hill SK, Gershon ES, Tamminga CA, Ivleva EI, Pearlson GD, Keshavan MS, Clementz BA, McDowell JE, Buckley PF, Sweeney JA, Keedy SK. Distinguishing patterns of impairment on inhibitory control and general cognitive ability among bipolar with and without psychosis, schizophrenia, and schizoaffective disorder. Schizophr Res 2020; 223:148-157. [PMID: 32674921 PMCID: PMC7704797 DOI: 10.1016/j.schres.2020.06.033] [Citation(s) in RCA: 8] [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: 04/17/2020] [Revised: 06/25/2020] [Accepted: 06/28/2020] [Indexed: 01/01/2023]
Abstract
BACKGROUND Deficits in inhibitory control on a Stop Signal Task (SST) were previously observed to be of similar magnitude across schizophrenia, schizoaffective, and bipolar disorder with psychosis, despite variation in general cognitive ability. Understanding different patterns of performance on the SST may elucidate different pathways to the impaired inhibitory control each group displayed. Comparing nonpsychotic bipolar disorder to the psychosis groups on SST may also expand our understanding of the shared neurobiology of this illness spectrum. METHODS We tested schizophrenia (n = 220), schizoaffective (n = 216), bipolar disorder with (n = 192) and without psychosis (n = 67), and 280 healthy comparison participants with a SST and the Brief Assessment of Cognition in Schizophrenia (BACS), a measure of general cognitive ability. RESULTS All patient groups had a similar degree of impaired inhibitory control over prepotent responses. However, bipolar groups differed from schizophrenia and schizoaffective groups in showing speeded responses and inhibition errors that were not accounted for by general cognitive ability. Schizophrenia and schizoaffective groups had a broader set of deficits on inhibition and greater general cognitive deficit, which fully accounted for the inhibition deficits. No differences were found between the clinically well-matched bipolar with and without psychosis groups, including for inhibitory control or general cognitive ability. CONCLUSIONS We conclude that 1) while impaired inhibitory control on a SST is of similar magnitude across the schizo-bipolar spectrum, including nonpsychotic bipolar, different mechanisms may underlie the impairments, and 2) history of psychosis in bipolar disorder does not differentially impact inhibitory behavioral control or general cognitive abilities.
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Affiliation(s)
- Milena Y Gotra
- Department of Psychology, Rosalind Franklin University, North Chicago, IL, United States
| | - Scot K Hill
- Department of Psychology, Rosalind Franklin University, North Chicago, IL, United States
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States
| | - Carol A Tamminga
- Department of Psychiatry, UT-Southwestern Medical Center, Dallas, TX, United States
| | - Elena I Ivleva
- Department of Psychiatry, UT-Southwestern Medical Center, Dallas, TX, United States
| | - Godfrey D Pearlson
- Departments of Psychiatry and Neuroscience, Yale University School of Medicine, New Haven, CT, United States; Institute of Living, Hartford Hospital, Hartford, CT, United States
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconness Medical Center and Harvard Medical School, Boston, MA, United States
| | - Brett A Clementz
- Department of Psychology and Neuroscience, University of Georgia, Athens, GA, United States
| | - Jennifer E McDowell
- Department of Psychology and Neuroscience, University of Georgia, Athens, GA, United States
| | - Peter F Buckley
- School of Medicine, Virginia Commonwealth University, Richmond, VA, United States
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States
| | - Sarah K Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States.
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Lutz O, Lizano P, Mothi SS, Zeng V, Hegde RR, Hoang DT, Henson P, Brady R, Tamminga CA, Pearlson G, Clementz BA, Sweeney JA, Keshavan MS. Do neurobiological differences exist between paranoid and non-paranoid schizophrenia? Findings from the bipolar schizophrenia network on intermediate phenotypes study. Schizophr Res 2020; 223:96-104. [PMID: 32507376 DOI: 10.1016/j.schres.2020.02.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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] [Received: 05/02/2019] [Revised: 10/23/2019] [Accepted: 02/26/2020] [Indexed: 02/06/2023]
Abstract
Subtypes of schizophrenia, constructed using clinical phenomenology to resolve illness heterogeneity, have faced criticism due to overlapping symptomatology and longitudinal instability; they were therefore dropped from the Diagnostic Statistical Manual-5. Cognitive and imaging findings comparing paranoid (P-SZ) and non-paranoid (disorganized, residual and undifferentiated; NP-SZ) schizophrenia have been limited due to small sample sizes. We assessed P-SZ and NP-SZ using symptomatology, cognition and brain structure and predicted that there would be few neurobiological differences. P-SZ (n = 237), NP-SZ (n = 127) and controls (n = 430) were included from a multi-site study. In a subset of this sample, structural imaging measures (P-SZ, n = 133; NP-SZ, n = 67; controls, n = 310) were calculated using Freesurfer 6.0. Group contrasts were run using analysis of covariance, controlling for age, sex, race and site, p-values were corrected using False Discovery Rate (FDR) and were repeated excluding the residual subtype. Compared to NP-SZ (with and without the residual subtype), P-SZ displayed fewer negative symptoms, faster speed of processing, larger bilateral hippocampus, right amygdala and their subfield volumes. Additionally, NP-SZ (with residual subtype) displayed fewer depressive symptoms and higher left transverse temporal cortical thickness (CT) but NP-SZ without residual subtype showed lower GAF scores and worse digit sequencing compared to P-SZ. No differences in positive symptoms and functioning (global or social) were detected. Subtle but significant differences were seen in cognition, symptoms, CT and subcortical volumes between P-SZ and NP-SZ. While the magnitude of these differences is not large enough to justify them as distinct categories, the paranoid- nonparanoid distinction in schizophrenia merits further investigation.
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Affiliation(s)
- Olivia Lutz
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
| | - Paulo Lizano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States of America; Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America
| | - Suraj Sarvode Mothi
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
| | - Victor Zeng
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
| | - Rachal R Hegde
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
| | - Dung T Hoang
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
| | - Philip Henson
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
| | - Roscoe Brady
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States of America; Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Godfrey Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, United States of America
| | - Brett A Clementz
- Department of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, United States of America
| | - John A Sweeney
- Department of Psychiatry, University of Cincinnati, Cincinnati, OH, United States of America
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States of America; Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America.
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Brakemeier S, Sprenger A, Meyhöfer I, McDowell JE, Rubin LH, Hill SK, Keshavan MS, Pearlson GD, Tamminga CA, Gershon ES, Keedy SS, Sweeney JA, Clementz BA, Lencer R. Smooth pursuit eye movement deficits as a biomarker for psychotic features in bipolar disorder-Findings from the PARDIP study. Bipolar Disord 2020; 22:602-611. [PMID: 31721386 DOI: 10.1111/bdi.12865] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 12/01/2022]
Abstract
OBJECTIVES Smooth pursuit eye movement deficits are an established psychosis biomarker across schizophrenia, schizoaffective and psychotic bipolar disorder (BPwP). Whether smooth pursuit deficits are also seen in bipolar disorder without psychosis (BPwoP) is unclear. Here we present data from the Psychosis and Affective Research Domains and Intermediate Phenotypes (PARDIP) study comparing bipolar patients with and without psychotic features. METHODS Probands with BPwP (N = 49) and BPwoP (N = 36), and healthy controls (HC, N = 71) performed eye tracking tasks designed to evaluate specific sensorimotor components relevant for pursuit initiation and pursuit maintenance. RESULTS While BPwoP did not differ from either BPwP or HC on initial eye acceleration, they performed significantly better than BPwP on early (P < .01) and predictive (P = .02) pursuit maintenance measures, both without differing from HC. BPwP were impaired compared to HC on initial eye acceleration, and on early and predictive pursuit maintenance (all P < .01). In contrast to the three pursuit measures, BPwP and BPwoP were both impaired on general neurocognitive assessments in relation to HC (both P < .001), without a significant difference between the two bipolar patient groups. CONCLUSIONS Our findings support the model that impairments of sensorimotor and cognitive processing as required for early and later predictive smooth pursuit maintenance are relatively specific to those bipolar patients with a history of psychosis. This suggests that the neural circuitry for developing feed-forward predictive models for accurate pursuit maintenance is associated with the occurrence of psychotic features in bipolar patients. In contrast, generalized neuropsychological impairments did not differentiate the two bipolar patient groups.
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Affiliation(s)
- Svenja Brakemeier
- Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
| | - Andreas Sprenger
- Department of Neurology, University of Luebeck, Luebeck, Germany
| | - Inga Meyhöfer
- Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany.,Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Muenster, Muenster, Germany
| | - Jennifer E McDowell
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, USA
| | - Leah H Rubin
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - S Kristian Hill
- Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago, IL, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Harvard Medical School, Beth Israel Deacones Medical Center, Boston, MA, USA
| | - Godfrey D Pearlson
- Departments of Psychiatry and Neuroscience, Yale School of Medicine, and Olin Research Center, Institute of Living/Hartford Hospital, Hartford, CT, USA
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Sarah S Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Brett A Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, USA
| | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany.,Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Muenster, Muenster, Germany
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55
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Hochberger WC, Eskridge CL, Bishop JR, Reilly JL, Rubin LH, Keedy S, Gershon ES, Tamminga CA, Pearlson GD, Ragozzino M, Keshavan MS, Sweeney JA, Hill SK. Catechol-O-methyltransferase genotype differentially contributes to the flexibility and stability of cognitive sets in patients with psychotic disorders and their first-degree relatives. Schizophr Res 2020; 223:236-241. [PMID: 32829984 PMCID: PMC7704884 DOI: 10.1016/j.schres.2020.08.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 10/21/2019] [Revised: 04/06/2020] [Accepted: 08/10/2020] [Indexed: 10/23/2022]
Abstract
Dopaminergic activity in prefrontal cortex is modulated by the low (Met) and high (Val) activity of the rs4680 Val158Met single nucleotide polymorphism (SNP) in the Catechol-O-Methyltransferase (COMT) gene. While this has been related to working memory maintenance in patients with schizophrenia, the familial pattern, impact across the psychosis spectrum, and the role of this genotype on other aspects of behavior, such as cognitive flexibility, remains unclear. The relationship between COMT Val158Met genotype and both cognitive stability and flexibility were assessed using the Penn Conditional Exclusion Test (PCET) in healthy controls (n = 241), patients with psychotic disorders (n = 542), and their first-degree relatives (n = 613) from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) consortium. Higher rates of perseverative errors (poor flexibility) were associated with the low-activity COMT genotype (Met allele carriers) in probands compared to their first-degree relatives with the same genotype. Probands and first-degree relatives homozygous for the high-activity COMT enzyme (Val/Val) showed elevated rates of regressive errors (poor stability) compared to controls. Conversely, heterozygous relatives had comparable regressive error rates to controls, with probands showing elevated errors in comparison. These findings suggest that impaired suppression of learned response patterns and reduced stability of mental sets may be a familial intermediate cognitive phenotype related to Val COMT allele genotype.
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Affiliation(s)
- William C. Hochberger
- VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA, United States,Department of Psychiatry, University of California San Diego, La Jolla, CA, United States
| | - Courtney L.M. Eskridge
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, United States
| | - Jeffrey R. Bishop
- Department of Experimental and Clinical Pharmacology & Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
| | - James L. Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States
| | - Leah H. Rubin
- Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
| | - Sarah Keedy
- Department of Psychiatry, University of Chicago Medicine, Chicago, IL, United States
| | - Elliot S. Gershon
- Department of Psychiatry, University of Chicago Medicine, Chicago, IL, United States
| | - Carol A. Tamminga
- Department of Psychiatry, University of Texas Southwestern, Dallas, TX, United State
| | - Godfrey D. Pearlson
- Department of Psychiatry and Neurobiology, Yale University and Olin Neuropsychiatric Research Center, Hartford, CT, United States
| | - Michael Ragozzino
- Department of Psychology, University of Illinois, Chicago, IL, United States
| | - Matcheri S. Keshavan
- Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
| | - John A. Sweeney
- Department of Psychiatry and Behavioral Neurosciences, University of Cincinnati, OH, United States
| | - S. Kristian Hill
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, United States
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56
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Herms EN, Bishop JR, Okuneye VT, Tamminga CA, Keshavan MS, Pearlson GD, Clementz BA, McDowell JE, Ivleva EI, Gershon ES, Sweeney JA, Keedy SK. No connectivity alterations for striatum, default mode, or salience network in association with self-reported antipsychotic medication dose in a large chronic patient group. Schizophr Res 2020; 223:359-360. [PMID: 32624351 PMCID: PMC8082971 DOI: 10.1016/j.schres.2020.06.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 05/01/2020] [Accepted: 06/18/2020] [Indexed: 10/23/2022]
Affiliation(s)
- Emma N. Herms
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States
| | - Jeffrey R. Bishop
- Departments of Pharmacy and Psychiatry, University of Minnesota, Minneapolis, MN, United States
| | - Victoria T. Okuneye
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States
| | - Carol A. Tamminga
- Department of Psychiatry, UT-Southwestern Medical Center, Dallas, TX, United States
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconness Medical Center and Harvard Medical School, Boston, MA, United States
| | - Godfrey D. Pearlson
- Departments of Psychiatry and Neuroscience, Yale University School of Medicine, New Haven, CT, United States; Institute of Living, Hartford Hospital, Hartford, CT, United States
| | - Brett A. Clementz
- Department of Psychology and Neuroscience, University of Georgia, Athens, GA, United States
| | - Jennifer E. McDowell
- Department of Psychology and Neuroscience, University of Georgia, Athens, GA, United States
| | - Elena I. Ivleva
- Department of Psychiatry, UT-Southwestern Medical Center, Dallas, TX, United States
| | - Elliot S. Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States
| | - John A. Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States
| | - Sarah K. Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States
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Clementz BA, Trotti RL, Pearlson GD, Keshavan MS, Gershon ES, Keedy SK, Ivleva EI, McDowell JE, Tamminga CA. Testing Psychosis Phenotypes From Bipolar-Schizophrenia Network for Intermediate Phenotypes for Clinical Application: Biotype Characteristics and Targets. Biol Psychiatry Cogn Neurosci Neuroimaging 2020; 5:808-818. [PMID: 32600898 DOI: 10.1016/j.bpsc.2020.03.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 03/30/2020] [Accepted: 03/31/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Psychiatry aspires to the molecular understanding of its disorders and, with that knowledge, to precision medicine. Research supporting such goals in the dimension of psychosis has been compromised, in part, by using phenomenology alone to estimate disease entities. To this end, we are proponents of a deep phenotyping approach in psychosis, using computational strategies to discover the most informative phenotypic fingerprint as a promising strategy to uncover mechanisms in psychosis. METHODS Doing this, the Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP) has used biomarkers to identify distinct subtypes of psychosis with replicable biomarker characteristics. While we have presented these entities as relevant, their potential utility in clinical practice has not yet been demonstrated. RESULTS Here we carried out an analysis of clinical features that characterize biotypes. We found that biotypes have unique and defining clinical characteristics that could be used as initial screens in the clinical and research settings. Differences in these clinical features appear to be consistent with biotype biomarker profiles, indicating a link between biological features and clinical presentation. Clinical features associated with biotypes differ from those associated with DSM diagnoses, indicating that biotypes and DSM syndromes are not redundant and are likely to yield different treatment predictions. We highlight 3 predictions based on biotype that are derived from individual biomarker features and cannot be obtained from DSM psychosis syndromes. CONCLUSIONS In the future, biotypes may prove to be useful for targeting distinct molecular, circuit, cognitive, and psychosocial therapies for improved functional outcomes.
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Affiliation(s)
- Brett A Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Rebekah L Trotti
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, Connecticut; Department of Psychiatry, Yale University, New Haven, Connecticut
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess, Harvard Medical School, Boston, Massachusetts
| | - Elliot S Gershon
- Department of Psychiatry, University of Chicago, Chicago, Illinois
| | - Sarah K Keedy
- Department of Psychiatry, University of Chicago, Chicago, Illinois
| | - Elena I Ivleva
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Jennifer E McDowell
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas.
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58
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Okuneye VT, Meda S, Pearlson GD, Clementz BA, Keshavan MS, Tamminga CA, Ivleva E, Sweeney JA, Gershon ES, Keedy SK. Resting state auditory-language cortex connectivity is associated with hallucinations in clinical and biological subtypes of psychotic disorders. Neuroimage Clin 2020; 27:102358. [PMID: 32745995 PMCID: PMC7398970 DOI: 10.1016/j.nicl.2020.102358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 07/16/2020] [Accepted: 07/20/2020] [Indexed: 01/16/2023]
Abstract
Transdiagnostic evidence for neural disruption in psychotic hallucinations. Hallucinations associated increased connectivity in auditory association cortex. Brain regions for auditory-verbal language comprehension linked to hallucinations. Interhemispheric connectivity alterations related to subgroup-specific findings. Hallucinations link to auditory rs-connectivity tested in 243 psychosis patients.
Background Auditory hallucinations are prevalent across the major psychotic disorders, but their underlying mechanism is poorly understood. Limited prior work supports a hypothesis of altered auditory/language brain systems. To more definitively assess this, we examined whether alterations in resting state connectivity of auditory and language cortices are associated with hallucination severity in a large sample of individuals in the schizo-bipolar spectrum. Methods Whole brain resting state connectivity of auditory and language cortex (primary auditory cortex, unimodal auditory association cortex, Wernicke’s area [speech and heteromodal association cortex] and Broca’s area [speech production motor]) was evaluated for 243 subjects with schizophrenia, schizoaffective, or bipolar disorder with psychosis and 186 healthy controls from the Bipolar Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. Regression analyses were conducted to evaluate whether resting state connectivity of auditory and language cortex was a significant predictor of current overall hallucination severity (information about specific modality of hallucinations experienced was not available). Results Increased connectivity between lower and higher order regions of left temporal-parietal auditory/language processing cortex was associated with worse hallucination severity for all psychosis patients. Additionally, within bipolar subjects, increased interhemispheric connectivity between higher order temporal-parietal auditory/language regions was related to greater hallucination severity. When patients were categorized by B-SNIP biomarker-based Biotype groups, interhemispheric connectivity between left auditory association cortex and right core auditory cortex was related to greater hallucination severity for Biotype 1 patients. Exploratory analyses resulted in different patterns of connectivity of auditory/language cortex in patients and controls, unrelated to current hallucination severity. Conclusions Although the findings cannot be precisely attributed to auditory hallucination severity or possible differences in such experiences between groups, increased connectivity among the left hemisphere auditory and receptive language cortex may represent a significant factor contributing to hallucination severity across psychotic disorders, and additional subgroup specific connectivity alterations may also be present.
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Affiliation(s)
- Victoria T Okuneye
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, IL, USA
| | | | | | | | | | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, TX, USA
| | - Elena Ivleva
- Department of Psychiatry, University of Texas Southwestern Medical Center, TX, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, OH, USA
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, IL, USA
| | - Sarah K Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, IL, USA.
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59
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Issler O, van der Zee YY, Ramakrishnan A, Wang J, Tan C, Loh YHE, Purushothaman I, Walker DM, Lorsch ZS, Hamilton PJ, Peña CJ, Flaherty E, Hartley BJ, Torres-Berrío A, Parise EM, Kronman H, Duffy JE, Estill MS, Calipari ES, Labonté B, Neve RL, Tamminga CA, Brennand KJ, Dong Y, Shen L, Nestler EJ. Sex-Specific Role for the Long Non-coding RNA LINC00473 in Depression. Neuron 2020; 106:912-926.e5. [PMID: 32304628 PMCID: PMC7305959 DOI: 10.1016/j.neuron.2020.03.023] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [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: 09/09/2019] [Revised: 01/27/2020] [Accepted: 03/23/2020] [Indexed: 12/26/2022]
Abstract
Depression is a common disorder that affects women at twice the rate of men. Here, we report that long non-coding RNAs (lncRNAs), a recently discovered class of regulatory transcripts, represent about one-third of the differentially expressed genes in the brains of depressed humans and display complex region- and sex-specific patterns of regulation. We identified the primate-specific, neuronal-enriched gene LINC00473 as downregulated in prefrontal cortex (PFC) of depressed females but not males. Using viral-mediated gene transfer to express LINC00473 in adult mouse PFC neurons, we mirrored the human sex-specific phenotype by inducing stress resilience solely in female mice. This sex-specific phenotype was accompanied by changes in synaptic function and gene expression selectively in female mice and, along with studies of human neuron-like cells in culture, implicates LINC00473 as a CREB effector. Together, our studies identify LINC00473 as a female-specific driver of stress resilience that is aberrant in female depression.
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MESH Headings
- Adult
- Aged
- Aged, 80 and over
- Animals
- Behavior, Animal
- Depression/genetics
- Depression/metabolism
- Depressive Disorder, Major/genetics
- Depressive Disorder, Major/metabolism
- Down-Regulation
- Female
- Humans
- Male
- Mice
- Mice, Transgenic
- Middle Aged
- Neurons/metabolism
- Prefrontal Cortex/metabolism
- RNA, Long Noncoding/genetics
- RNA, Long Noncoding/metabolism
- RNA-Seq
- Resilience, Psychological
- Sex Factors
- Stress, Psychological/genetics
- Stress, Psychological/metabolism
- Young Adult
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Affiliation(s)
- Orna Issler
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yentl Y van der Zee
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University, 6229 ER, Maastricht, the Netherlands
| | - Aarthi Ramakrishnan
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Junshi Wang
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Chunfeng Tan
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Yong-Hwee E Loh
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Immanuel Purushothaman
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Deena M Walker
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Zachary S Lorsch
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Peter J Hamilton
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Catherine J Peña
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Erin Flaherty
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Brigham J Hartley
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Angélica Torres-Berrío
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Eric M Parise
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Hope Kronman
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Julia E Duffy
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Molly S Estill
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Erin S Calipari
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Benoit Labonté
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Rachael L Neve
- Gene Delivery Technology Core, Massachusetts General Hospital, Cambridge, MA 02139, USA
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Kristen J Brennand
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yan Dong
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Li Shen
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Eric J Nestler
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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Correll CU, Davis RE, Weingart M, Saillard J, O’Gorman C, Kane JM, Lieberman JA, Tamminga CA, Mates S, Vanover KE. Efficacy and Safety of Lumateperone for Treatment of Schizophrenia: A Randomized Clinical Trial. JAMA Psychiatry 2020; 77:349-358. [PMID: 31913424 PMCID: PMC6990963 DOI: 10.1001/jamapsychiatry.2019.4379] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 10/14/2019] [Indexed: 12/20/2022]
Abstract
Importance Individuals living with schizophrenia are affected by cardiometabolic, endocrine, and motor adverse effects of current antipsychotic medications. Lumateperone is a serotonin, dopamine, and glutamate modulator with the potential to treat schizophrenia with few adverse effects. Objective To examine the efficacy and safety of lumateperone for the short-term treatment of schizophrenia. Design, Setting, and Participants This randomized, double-blind, placebo-controlled, phase 3 clinical trial was conducted from November 13, 2014, to July 20, 2015, with data analyses performed from August 13 to September 15, 2015. Patients with schizophrenia who were aged 18 to 60 years and were experiencing an acute exacerbation of psychosis were enrolled from 12 clinical sites in the United States. Interventions Patients were randomized 1:1:1 (150 patients in each arm) to receive lumateperone tosylate, 60 mg; lumateperone tosylate, 40 mg (equivalent to 42 or 28 mg, respectively, of the active moiety lumateperone); or placebo once daily for 4 weeks. Main Outcomes and Measures The prespecified primary efficacy end point was mean change from baseline to day 28 in the Positive and Negative Syndrome Scale (PANSS) total score vs placebo. The key secondary efficacy measure was the Clinical Global Impression-Severity of Illness (CGI-S) score. The PANSS subscale scores, social function, safety, and tolerability were also assessed. Results The study comprised 450 patients (mean [SD] age, 42.4 [10.2] years; 346 [77.1%] male; mean [SD] baseline PANSS score, 89.8 [10.3]; mean [SD] baseline CGI-S score, 4.8 [0.6]). In the prespecified modified intent-to-treat efficacy analysis (n = 435), 42 mg of lumateperone met the primary and key secondary efficacy objectives, demonstrating a statistically significant improvement vs placebo from baseline to day 28 on the PANSS total score (least-squares mean difference [LSMD], -4.2; 95% CI, -7.8 to -0.6; P = .02; effect size [ES], -0.3) and the CGI-S (LSMD, -0.3; 95% CI, -0.5 to -0.1; P = .003; ES, -0.4). For 28 mg of lumateperone, the LSMD from baseline to day 28 was -2.6 (95% CI, -6.2 to 1.1; P = .16; ES, -0.2) on the PANSS total score and -0.2 (95% CI, -0.5 to 0.0; P = .02; ES, -0.3) on the CGI-S. Both lumateperone doses were well tolerated without clinically significant treatment-emergent motor adverse effects or changes in cardiometabolic or endocrine factors vs placebo. Conclusions and Relevance Lumateperone demonstrated efficacy for improving the symptoms of schizophrenia and had a favorable safety profile. Trial Registration ClinicalTrials.gov identifier: NCT02282761.
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Affiliation(s)
- Christoph U. Correll
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York
- Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, New York
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
| | | | | | | | - Cedric O’Gorman
- Intra-Cellular Therapies Inc, New York, New York
- Now with Axsome Therapeutics Inc, New York, New York
| | - John M. Kane
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York
- Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, New York
| | - Jeffrey A. Lieberman
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York Presbyterian Hospital, New York
| | - Carol A. Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas
| | - Sharon Mates
- Intra-Cellular Therapies Inc, New York, New York
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Blackburn KM, Ivleva EI, Weir RA, Kim M, Hopkins SC, Hudgens-Haney ME, Keedy SK, Gershon ES, Sweeney JA, Keshavan MS, Pearlson GD, Clementz BA, Tamminga CA, Vernino S. NMDA receptor antibody seropositivity in psychosis: A pilot study from the Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP). Schizophr Res 2020; 218:318-320. [PMID: 31952910 DOI: 10.1016/j.schres.2020.01.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 12/23/2019] [Accepted: 01/07/2020] [Indexed: 11/24/2022]
Affiliation(s)
- Kyle M Blackburn
- Department of Neurology and Neurotherapeutics, UT Southwestern Medical Center, Dallas, TX, USA.
| | - Elena I Ivleva
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Robert A Weir
- Department of Neurology and Neurotherapeutics, UT Southwestern Medical Center, Dallas, TX, USA; Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Mindy Kim
- Department of Neurology and Neurotherapeutics, UT Southwestern Medical Center, Dallas, TX, USA
| | - Steven C Hopkins
- Department of Neurology and Neurotherapeutics, UT Southwestern Medical Center, Dallas, TX, USA
| | | | - Sarah K Keedy
- Department of Psychiatry, University of Chicago, Chicago, IL, USA
| | - Elliot S Gershon
- Department of Psychiatry, University of Chicago, Chicago, IL, USA
| | - John A Sweeney
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA; Department of Pediatrics, UT Southwestern Medical Center, Dallas, TX, USA
| | | | - Godfrey D Pearlson
- Institute of Living, Hartford Hospital, Hartford, CT, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Brett A Clementz
- Departments of Psychology and Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA, USA
| | - Carol A Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Steven Vernino
- Department of Neurology and Neurotherapeutics, UT Southwestern Medical Center, Dallas, TX, USA
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62
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Zhang W, Lei D, Keedy SK, Ivleva EI, Eum S, Yao L, Tamminga CA, Clementz BA, Keshavan MS, Pearlson GD, Gershon ES, Bishop JR, Gong Q, Lui S, Sweeney JA. Brain gray matter network organization in psychotic disorders. Neuropsychopharmacology 2020; 45:666-674. [PMID: 31812151 PMCID: PMC7021697 DOI: 10.1038/s41386-019-0586-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 11/25/2019] [Accepted: 11/30/2019] [Indexed: 02/05/2023]
Abstract
Abnormal neuroanatomic brain networks have been reported in schizophrenia, but their characterization across patients with psychotic disorders, and their potential alterations in nonpsychotic relatives, remain to be clarified. Participants recruited by the Bipolar and Schizophrenia Network for Intermediate Phenotypes consortium included 326 probands with psychotic disorders (107 with schizophrenia (SZ), 87 with schizoaffective disorder (SAD), 132 with psychotic bipolar disorder (BD)), 315 of their nonpsychotic first-degree relatives and 202 healthy controls. Single-subject gray matter graphs were extracted from structural MRI scans, and whole-brain neuroanatomic organization was compared across the participant groups. Compared with healthy controls, psychotic probands showed decreased nodal efficiency mainly in bilateral superior temporal regions. These regions had altered morphological relationships primarily with frontal lobe regions, and their network-level alterations were associated with positive symptoms of psychosis. Nonpsychotic relatives showed lower nodal centrality metrics in the prefrontal cortex and subcortical regions, and higher nodal centrality metrics in the left cingulate cortex and left thalamus. Diagnosis-specific analysis indicated that individuals with SZ had lower nodal efficiency in bilateral superior temporal regions than controls, probands with SAD only exhibited lower nodal efficiency in the left superior and middle temporal gyrus, and individuals with psychotic BD did not show significant differences from healthy controls. Our findings provide novel evidence of clinically relevant disruptions in the anatomic association of the superior temporal lobe with other regions of whole-brain networks in patients with psychotic disorders, but not in their unaffected relatives, suggesting that it is a disease-related trait. Network disorganization primarily involving frontal lobe and subcortical regions in nonpsychotic relatives may be related to familial illness risk.
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Affiliation(s)
- Wenjing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Du Lei
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Sarah K Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Elena I Ivleva
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Seenae Eum
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Li Yao
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Brett A Clementz
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Godfrey D Pearlson
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Jeffrey R Bishop
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA.
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63
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Bobilev AM, Perez JM, Tamminga CA. Molecular alterations in the medial temporal lobe in schizophrenia. Schizophr Res 2020; 217:71-85. [PMID: 31227207 DOI: 10.1016/j.schres.2019.06.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [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] [Received: 03/26/2019] [Revised: 05/29/2019] [Accepted: 06/01/2019] [Indexed: 11/30/2022]
Abstract
The medial temporal lobe (MTL) and its individual structures have been extensively implicated in schizophrenia pathophysiology, with considerable efforts aimed at identifying structural and functional differences in this brain region. The major structures of the MTL for which prominent differences have been revealed include the hippocampus, the amygdala and the superior temporal gyrus (STG). The different functions of each of these regions have been comprehensively characterized, and likely contribute differently to schizophrenia. While neuroimaging studies provide an essential framework for understanding the role of these MTL structures in various aspects of the disease, ongoing efforts have sought to employ molecular measurements in order to elucidate the biology underlying these macroscopic differences. This review provides a summary of the molecular findings in three major MTL structures, and discusses convergent findings in cellular architecture and inter-and intra-cellular networks. The findings of this effort have uncovered cell-type, network and gene-level specificity largely unique to each brain region, indicating distinct molecular origins of disease etiology. Future studies should test the functional implications of these molecular changes at the circuit level, and leverage new advances in sequencing technology to further refine our understanding of the differential contribution of MTL structures to schizophrenia.
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Affiliation(s)
- Anastasia M Bobilev
- Department of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, United States of America.
| | - Jessica M Perez
- Department of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, United States of America.
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, United States of America.
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Massa N, Owens AV, Harmon W, Bhattacharya A, Ivleva EI, Keedy S, Sweeney JA, Pearlson GD, Keshavan MS, Tamminga CA, Clementz BA, Duncan E. Relationship of prolonged acoustic startle latency to diagnosis and biotype in the bipolar-schizophrenia network on intermediate phenotypes (B-SNIP) cohort. Schizophr Res 2020; 216:357-366. [PMID: 31796306 PMCID: PMC7239737 DOI: 10.1016/j.schres.2019.11.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [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] [Received: 05/03/2019] [Revised: 10/21/2019] [Accepted: 11/06/2019] [Indexed: 01/19/2023]
Abstract
BACKGROUND Latency of the acoustic startle reflex is the time from presentation of the startling stimulus until the response and provides an index of neural processing speed. Latency is prolonged in schizophrenia, is 90% heritable, and predicts conversion to schizophrenia in a high-risk population. The Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP) consortium investigates neurobiological features found in psychotic disorders spanning diagnostic criteria for schizophrenia (SCZ), schizoaffective disorder (SAD), and psychotic bipolar disorder (BP). We investigated whether differences in startle latency and prepulse inhibition (PPI) occur in probands, their first-degree relatives, and neurobiologically defined subgroups of the probands (Biotypes). METHODS 1143 subjects were included from the B-SNIP cohort: 143 with SCZ, 178 SCZ relatives (SCZ-Fam), 123 with SAD, 152 SAD relatives (SAD-Fam), 138 BP, 183 BP relatives (BP-Fam), and 226 controls (CON). A Biopac system recorded the eyeblink component of the startle reflex during startle testing. RESULTS Latency differed by diagnosis (F(3,620) = 5.10, p = 0.002): SCZ, SAD, and BP probands had slower latency than CON, with relatives intermediate. Biotypes 1 and 2 had slower latency than CON (p < 0.031) but Biotype 3 did not differ from CON. PPI did not separate CON from other subjects when analyzed by diagnoses nor when analyzed by biotype. Biotype 1 relatives had slower latency (F(3,663) = 3.49, p = 0.016) and more impaired PPI than Biotype 2 and 3 relatives (F(3,663) = 2.77, p = 0.041). CONCLUSION Startle latency is prolonged in psychotic disorders that cross traditional diagnostic categories. These data suggest a genetic difference between biotypes that span across clinically defined diagnoses.
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Affiliation(s)
- Nicholas Massa
- Atlanta Veterans Affairs Medical Center, Decatur, GA 30033,Rollins School of Public Health, Emory University, Atlanta, GA 30322
| | - Andrew V. Owens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30329
| | | | | | | | | | | | | | | | | | - Brett A. Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia
| | - Erica Duncan
- Atlanta Veterans Affairs Medical Center, Decatur, GA, 30033, USA; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, 30329, USA.
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Segev A, Yanagi M, Scott D, Southcott SA, Lister JM, Tan C, Li W, Birnbaum SG, Kourrich S, Tamminga CA. Reduced GluN1 in mouse dentate gyrus is associated with CA3 hyperactivity and psychosis-like behaviors. Mol Psychiatry 2020; 25:2832-2843. [PMID: 30038231 PMCID: PMC6344327 DOI: 10.1038/s41380-018-0124-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 10/30/2017] [Accepted: 01/15/2018] [Indexed: 01/07/2023]
Abstract
Recent findings from in vivo-imaging and human post-mortem tissue studies in schizophrenic psychosis (SzP), have demonstrated functional and molecular changes in hippocampal subfields that can be associated with hippocampal hyperexcitability. In this study, we used a subfield-specific GluN1 knockout mouse with a disease-like molecular perturbation expressed only in hippocampal dentate gyrus (DG) and assessed its association with hippocampal physiology and psychosis-like behaviors. First, we used whole-cell patch-clamp recordings to measure the physiological changes in hippocampal subfields and cFos immunohistochemistry to examine cellular excitability. DG-GluN1 KO mice show CA3 cellular hyperactivity, detected using two approaches: (1) increased excitatory glutamate transmission at mossy fibers (MF)-CA3 synapses, and (2) an increased number of cFos-activated pyramidal neurons in CA3, an outcome that appears to project downstream to CA1 and basolateral amygdala (BLA). Furthermore, we examined psychosis-like behaviors and pathological memory processing; these show an increase in fear conditioning (FC), a reduction in prepulse inhibition (PPI) in the KO animal, along with a deterioration in memory accuracy with Morris Water Maze (MWM) and reduced social memory (SM). Moreover, with DREADD vectors, we demonstrate a remarkably similar behavioral profile when we induce CA3 hyperactivity. These hippocampal subfield changes could provide the basis for the observed increase in human hippocampal activity in SzP, based on the shared DG-specific GluN1 reduction. With further characterization, these animal model systems may serve as targets to test psychosis mechanisms related to hippocampus and assess potential hippocampus-directed treatments.
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Affiliation(s)
- Amir Segev
- grid.267313.20000 0000 9482 7121Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX 75390 USA
| | - Masaya Yanagi
- grid.267313.20000 0000 9482 7121Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX 75390 USA ,grid.258622.90000 0004 1936 9967Present Address: Department of Neuropsychiatry, Kindai University Faculty of Medicine, Osaka, Japan
| | - Daniel Scott
- grid.267313.20000 0000 9482 7121Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX 75390 USA
| | - Sarah A. Southcott
- grid.267313.20000 0000 9482 7121Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX 75390 USA
| | - Jacob M. Lister
- grid.267313.20000 0000 9482 7121Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX 75390 USA ,grid.47100.320000000419368710Yale University, School of Medicine, 333 Cedar Street, New Haven, CT 06510 USA ,grid.47100.320000000419368710Present Address: Yale University, School of Medicine, New Haven, CT USA
| | - Chunfeng Tan
- grid.267313.20000 0000 9482 7121Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX 75390 USA
| | - Wei Li
- grid.267313.20000 0000 9482 7121Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX 75390 USA
| | - Shari G. Birnbaum
- grid.267313.20000 0000 9482 7121Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX 75390 USA
| | - Saïd Kourrich
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, 75390, USA.
| | - Carol A. Tamminga
- grid.267313.20000 0000 9482 7121Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX 75390 USA
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Affiliation(s)
- Carol A. Tamminga
- 0000 0000 9482 7121grid.267313.2Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX USA
| | - Brett A. Clementz
- 0000 0000 9564 9822grid.264978.6Departments of Psychology and Neuroscience, University of Georgia, Athens, TX Georgia
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Trotti RL, Parker DA, Sabatinelli D, Tamminga CA, Gershon ES, Keedy SK, Keshavan MS, Pearlson GD, Sweeney JA, McDowell JE, Clementz BA. Electrophysiological correlates of emotional scene processing in bipolar disorder. J Psychiatr Res 2020; 120:83-90. [PMID: 31634753 PMCID: PMC10499256 DOI: 10.1016/j.jpsychires.2019.10.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [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] [Received: 06/20/2019] [Revised: 08/12/2019] [Accepted: 10/03/2019] [Indexed: 12/19/2022]
Abstract
Emotional dysfunction is a core feature of bipolar I disorder (BD). Behavioral data suggest that emotional processing may differ based on history of psychosis, but physiological studies frequently disregard this differentiating feature. Face processing studies indicate that emotion-related components of event-related potentials (ERPs) are abnormal in BD, but fMRI data using emotional scenes are mixed. The current study used ERPs to examine emotional scene perception in BD with and without a history of psychosis (BDP, BDNP). 386 participants from the PARDIP consortium (HC = 181, BDP = 130, BDNP = 75) viewed neutral, pleasant, and unpleasant scenes from the International Affective Picture System (IAPS) during continuous EEG recording. The early posterior negativity (EPN) and late positive potential (LPP) were examined for group and stimulus effects. Analyses were conducted for groups on and off medications to examine associations between medication status, psychosis, and ERP response. Group differences were found between HC and BD in emotional modulation of the EPN and between HC and BDP in the LPP to pleasant images. There was a significant interaction between psychosis history and anticonvulsant status in the EPN, but no other medication associations were found. The relationship between neural/self-reported emotional responses and clinical symptoms were examined with canonical correlations, but no significant associations were found. Results from this large well characterized sample indicate mild deviations in neural reactivity related to medication, mood, and psychosis history. However, processing of emotional scenes appears mostly intact in individuals with BD regardless of symptom severity.
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Affiliation(s)
- Rebekah L Trotti
- Department of Psychology and Neuroscience, University of Georgia, 500 DW Brooks Drive, Athens, GA, 30606, USA
| | - David A Parker
- Department of Psychology and Neuroscience, University of Georgia, 500 DW Brooks Drive, Athens, GA, 30606, USA
| | - Dean Sabatinelli
- Department of Psychology and Neuroscience, University of Georgia, 500 DW Brooks Drive, Athens, GA, 30606, USA
| | - Carol A Tamminga
- University of Texas Southwestern Medical Center, 2201 Inwood Rd., NE5.110, Dallas, TX, 75390, USA
| | - Elliot S Gershon
- University of Chicago, 5841 S. Maryland Ave, Chicago, IL, 60637, USA
| | - Sarah K Keedy
- University of Chicago, 5841 S. Maryland Ave, Chicago, IL, 60637, USA
| | | | - Godfrey D Pearlson
- Institute of Living, Hartford Hospital, 200 Retreat Ave., Hartford, CT, 06106, USA
| | - John A Sweeney
- University of Texas Southwestern Medical Center, 2201 Inwood Rd., NE5.110, Dallas, TX, 75390, USA
| | - Jennifer E McDowell
- Department of Psychology and Neuroscience, University of Georgia, 500 DW Brooks Drive, Athens, GA, 30606, USA
| | - Brett A Clementz
- Department of Psychology and Neuroscience, University of Georgia, 500 DW Brooks Drive, Athens, GA, 30606, USA.
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Ji L, Meda SA, Tamminga CA, Clementz BA, Keshavan MS, Sweeney JA, Gershon ES, Pearlson GD. Characterizing functional regional homogeneity (ReHo) as a B-SNIP psychosis biomarker using traditional and machine learning approaches. Schizophr Res 2020; 215:430-438. [PMID: 31439419 DOI: 10.1016/j.schres.2019.07.015] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [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: 07/17/2018] [Revised: 06/06/2019] [Accepted: 07/11/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND Recently, a biologically-driven psychosis classification (B-SNIP Biotypes) was derived using brain-based cognitive and electrophysiological markers. Here, we characterized a local functional-connectivity measure, regional homogeneity (ReHo), as a biomarker across Biotypes and conventional DSM diagnoses. METHODS Whole-brain ReHo measures of resting-state functional MRI were examined in psychosis patients and healthy controls organized by Biotype and by DSM-IV-TR diagnosis (n = 737). Group-level ANOVA and individual-level prediction models using support vector machines (SVM) were employed to evaluate the discriminative characteristics in comparisons of 1) DSM diagnostic groups, 2) Biotypes, to controls, and 3) within-proband subgroups with each other. RESULTS Probands grouped by Biotype versus controls showed a unique abnormality pattern: Biotype-1 displayed bidirectional ReHo differences in more widespread areas, with higher ReHo in para-hippocampus, fusiform, inferior temporal, cerebellum, thalamus and caudate, plus lower ReHo in the postcentral gyrus, middle temporal, cuneus, and middle occipital cortex; Biotype-2 and Biotype-3 showed lesser and unidirectional ReHo changes. Among diagnostic groups, only schizophrenia showed higher ReHo versus control values in the inferior/middle temporal area and fusiform gyrus. For within-patient comparisons, Biotype-1 showed characteristic ReHo when compared to Biotype-2 and Biotype-3. SVM results more accurately identified Biotypes than DSM diagnoses. CONCLUSION We characterized patterns of ReHo abnormalities across both Biotypes and DSM sub-groups. Both group-level statistical and machine-learning methods were more sensitive in capturing ReHo deficits in Biotypes than DSM. Overall ReHo is a robust psychosis biomarker.
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Affiliation(s)
- Lanxin Ji
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA; Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China
| | - Shashwath A Meda
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Brett A Clementz
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA, USA
| | - John A Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Elliot S Gershon
- Department of Psychiatry, University of Chicago, Chicago, IL, USA
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA; Department of Neuroscience, Yale University, New Haven, CT, USA.
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Ji JL, Diehl C, Schleifer C, Tamminga CA, Keshavan MS, Sweeney JA, Clementz BA, Hill SK, Pearlson G, Yang G, Creatura G, Krystal JH, Repovs G, Murray J, Winkler A, Anticevic A. Schizophrenia Exhibits Bi-directional Brain-Wide Alterations in Cortico-Striato-Cerebellar Circuits. Cereb Cortex 2019; 29:4463-4487. [PMID: 31157363 PMCID: PMC6917525 DOI: 10.1093/cercor/bhy306] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [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: 08/06/2018] [Revised: 10/17/2018] [Indexed: 01/05/2023] Open
Abstract
Distributed neural dysconnectivity is considered a hallmark feature of schizophrenia (SCZ), yet a tension exists between studies pinpointing focal disruptions versus those implicating brain-wide disturbances. The cerebellum and the striatum communicate reciprocally with the thalamus and cortex through monosynaptic and polysynaptic connections, forming cortico-striatal-thalamic-cerebellar (CSTC) functional pathways that may be sensitive to brain-wide dysconnectivity in SCZ. It remains unknown if the same pattern of alterations persists across CSTC systems, or if specific alterations exist along key functional elements of these networks. We characterized connectivity along major functional CSTC subdivisions using resting-state functional magnetic resonance imaging in 159 chronic patients and 162 matched controls. Associative CSTC subdivisions revealed consistent brain-wide bi-directional alterations in patients, marked by hyper-connectivity with sensory-motor cortices and hypo-connectivity with association cortex. Focusing on the cerebellar and striatal components, we validate the effects using data-driven k-means clustering of voxel-wise dysconnectivity and support vector machine classifiers. We replicate these results in an independent sample of 202 controls and 145 patients, additionally demonstrating that these neural effects relate to cognitive performance across subjects. Taken together, these results from complementary approaches implicate a consistent motif of brain-wide alterations in CSTC systems in SCZ, calling into question accounts of exclusively focal functional disturbances.
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Affiliation(s)
- Jie Lisa Ji
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT, USA
| | - Caroline Diehl
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT, USA
| | - Charles Schleifer
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT, USA
| | - Carol A Tamminga
- Department of Psychiatry and Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - John A Sweeney
- Department of Psychiatry, University of Cincinnati, Cincinnati, OH, USA
| | - Brett A Clementz
- Department of Psychology, BioImaging Research Center, University of Georgia, Athens, GA, USA
- Department of Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA, USA
| | - S Kristian Hill
- Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago, IL, USA
| | - Godfrey Pearlson
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT, USA
| | - Genevieve Yang
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT, USA
| | - Gina Creatura
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT, USA
| | - John H Krystal
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT, USA
| | - Grega Repovs
- Department of Psychology, University of Ljubljana, Ljubljana, Slovenia
| | - John Murray
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT, USA
| | - Anderson Winkler
- Nuffield Department of Clinical Neurosciences, Oxford University, John Radcliffe Hospital, Oxford University, Headington, Oxford, UK
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, 300 George Street, New Haven, CT, USA
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Stan AD, Tamminga CA, Han K, Kim JB, Padmanabhan J, Tandon N, Hudgens-Haney ME, Keshavan MS, Clementz BA, Pearlson GD, Sweeney JA, Gibbons RD. Associating Psychotic Symptoms with Altered Brain Anatomy in Psychotic Disorders Using Multidimensional Item Response Theory Models. Cereb Cortex 2019; 30:2939-2947. [PMID: 31813988 DOI: 10.1093/cercor/bhz285] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 09/23/2019] [Accepted: 09/23/2019] [Indexed: 12/15/2022] Open
Abstract
Reduced cortical thickness has been demonstrated in psychotic disorders, but its relationship to clinical symptoms has not been established. We aimed to identify the regions throughout neocortex where clinical psychosis manifestations correlate with cortical thickness. Rather than perform a traditional correlation analysis using total scores on psychiatric rating scales, we applied multidimensional item response theory to identify a profile of psychotic symptoms that was related to a region where cortical thickness was reduced. This analysis was performed using a large population of probands with psychotic disorders (N = 865), their family members (N = 678) and healthy volunteers (N = 347), from the 5-site Bipolar-Schizophrenia Network for Intermediate Phenotypes. Regional cortical thickness from structural magnetic resonance scans was measured using FreeSurfer; individual symptoms were rated using the Positive and Negative Syndrome Scale, Montgomery-Asberg Depression Rating Scale, and Young Mania Rating Scale. A cluster of cortical regions whose thickness was inversely related to severity of psychosis symptoms was identified. The regions turned out to be located contiguously in a large region of heteromodal association cortex including temporal, parietal and frontal lobe regions, suggesting a cluster of contiguous neocortical regions important to psychosis expression. When we tested the relationship between reduced cortical surface area and high psychotic symptoms we found no linked regions describing a related cortical set.
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Affiliation(s)
- Ana D Stan
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Carol A Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | | | - Jong Bae Kim
- Departments of Medicine and Public Health Sciences, University of Chicago, Chicago, IL 60637, USA
| | - Jaya Padmanabhan
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Neeraj Tandon
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | | | | | - Brett A Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA 30602, USA
| | - Godfrey D Pearlson
- Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, CT; Institute of Living, Hartford Hospital, Hartford, CT 06106, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Robert D Gibbons
- Departments of Medicine and Public Health Sciences, University of Chicago, Chicago, IL 60637, USA
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Nucifora LG, MacDonald ML, Lee BJ, Peters ME, Norris AL, Orsburn BC, Yang K, Gleason K, Margolis RL, Pevsner J, Tamminga CA, Sweet RA, Ross CA, Sawa A, Nucifora FC. Increased Protein Insolubility in Brains From a Subset of Patients With Schizophrenia. Am J Psychiatry 2019; 176:730-743. [PMID: 31055969 DOI: 10.1176/appi.ajp.2019.18070864] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [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 The mechanisms leading to schizophrenia are likely to be diverse. However, there may be common pathophysiological pathways for subtypes of the disease. The authors tested the hypothesis that increased protein insolubility and ubiquitination underlie the pathophysiology for a subtype of schizophrenia. METHODS Prefrontal cortex and superior temporal gyrus from postmortem brains of individuals with and without schizophrenia were subjected to cold sarkosyl fractionation, separating proteins into soluble and insoluble fractions. Protein insolubility and ubiquitin levels were quantified for each insoluble fraction, with normalization to total homogenate protein. Mass spectrometry analysis was then performed to identify the protein contents of the insoluble fractions. The potential biological relevance of the detected proteins was assessed using Gene Ontology enrichment analysis and Ingenuity Pathway Analysis. RESULTS A subset of the schizophrenia brains showed an increase in protein insolubility and ubiquitination in the insoluble fraction. Mass spectrometry of the insoluble fraction revealed that brains with increased insolubility and ubiquitination exhibited a similar peptide expression by principal component analysis. The proteins that were significantly altered in the insoluble fraction were enriched for pathways relating to axon target recognition as well as nervous system development and function. CONCLUSIONS This study suggests a pathological process related to protein insolubility for a subset of patients with schizophrenia. Determining the molecular mechanism of this subtype of schizophrenia could lead to a better understanding of the pathways underlying the clinical phenotype in some patients with major mental illness as well as to improved nosology and identification of novel therapeutic targets.
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Affiliation(s)
- Leslie G Nucifora
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Matthew L MacDonald
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Brian J Lee
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Matthew E Peters
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Alexis L Norris
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Benjamin C Orsburn
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Kun Yang
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Kelly Gleason
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Russell L Margolis
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Jonathan Pevsner
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Carol A Tamminga
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Robert A Sweet
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Christopher A Ross
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Akira Sawa
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
| | - Frederick C Nucifora
- The Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (L.G. Nucifora, Lee, Peters, Yang, Margolis, Pevsner, Ross, Sawa, F.C. Nucifora); the Departments of Psychiatry and Neurology, University of Pittsburgh, and the VISN 4 Mental Illness Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh (MacDonald, Sweet); the Department of Neurology, Kennedy Krieger Institute, Baltimore (Norris, Pevsner); the Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore (Norris, Pevsner, Ross, Sawa); Protein Characterization Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Frederick, Md. (Orsburn); the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas (Gleason, Tamminga); the Department of Neurology, Johns Hopkins University School of Medicine, Baltimore (Margolis, Ross, Sawa, F.C. Nucifora); Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore (Lee, Sawa); the Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore (Ross)
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Mendizabal I, Berto S, Usui N, Toriumi K, Chatterjee P, Douglas C, Huh I, Jeong H, Layman T, Tamminga CA, Preuss TM, Konopka G, Yi SV. Cell type-specific epigenetic links to schizophrenia risk in the brain. Genome Biol 2019; 20:135. [PMID: 31288836 PMCID: PMC6617737 DOI: 10.1186/s13059-019-1747-7] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 06/25/2019] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND The importance of cell type-specific epigenetic variation of non-coding regions in neuropsychiatric disorders is increasingly appreciated, yet data from disease brains are conspicuously lacking. We generate cell type-specific whole-genome methylomes (N = 95) and transcriptomes (N = 89) from neurons and oligodendrocytes obtained from brain tissue of patients with schizophrenia and matched controls. RESULTS The methylomes of the two cell types are highly distinct, with the majority of differential DNA methylation occurring in non-coding regions. DNA methylation differences between cases and controls are subtle compared to cell type differences, yet robust against permuted data and validated in targeted deep-sequencing analyses. Differential DNA methylation between control and schizophrenia tends to occur in cell type differentially methylated sites, highlighting the significance of cell type-specific epigenetic dysregulation in a complex neuropsychiatric disorder. CONCLUSIONS Our results provide novel and comprehensive methylome and transcriptome data from distinct cell populations within patient-derived brain tissues. This data clearly demonstrate that cell type epigenetic-differentiated sites are preferentially targeted by disease-associated epigenetic dysregulation. We further show reduced cell type epigenetic distinction in schizophrenia.
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Affiliation(s)
- Isabel Mendizabal
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Stefano Berto
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Noriyoshi Usui
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390, USA
- Center for Medical Research and Education, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan
- Department of Neuroscience and Cell Biology, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan
| | - Kazuya Toriumi
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390, USA
- Schizophrenia Research Project, Department of Psychiatry and Behavioral Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, 156-8506, Japan
| | - Paramita Chatterjee
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Connor Douglas
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Iksoo Huh
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- College of Nursing, The Research Institute of Nursing Science, Seoul National University, Seoul, 03080, South Korea
| | - Hyeonsoo Jeong
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Thomas Layman
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Carol A Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Todd M Preuss
- Division of Neuropharmacology and Neurologic Diseases, Department of Pathology, Yerkes National Primate Research Center, Emory University School of Medicine, Emory University, Atlanta, GA, 30329, USA
| | - Genevieve Konopka
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390, USA.
| | - Soojin V Yi
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
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73
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Parker DA, Hamm JP, McDowell JE, Keedy SK, Gershon ES, Ivleva EI, Pearlson GD, Keshavan MS, Tamminga CA, Sweeney JA, Clementz BA. Auditory steady-state EEG response across the schizo-bipolar spectrum. Schizophr Res 2019; 209:218-226. [PMID: 31080153 PMCID: PMC6661193 DOI: 10.1016/j.schres.2019.04.014] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [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: 01/08/2019] [Revised: 04/15/2019] [Accepted: 04/18/2019] [Indexed: 11/29/2022]
Abstract
UNLABELLED Deviant auditory steady-state responses (aSSRs) in the gamma range (30-90 Hz) may be translational biomarkers for schizophrenia (SZ). This study tests whether aSSR deviations are (i) specific to SZ across the psychosis dimension, (ii) specific to particular frequency bands, and (iii) present in bipolar I disorder without psychosis (BDNP). METHODS Beta (20-), low- (40-), and high-gamma (80-Hz) aSSRs were measured with EEG and compared across 113 SZ, 105 schizoaffective disorder (SAD), 99 bipolar disorder with psychosis (BDP), 68 BDNP, and 137 healthy comparison subjects (HC). Standard aSSR measures (single-trial power [STP] and inter-trial phase coherence [ITC]), as well as evoked responses to stimulus onsets/offsets and pre-stimulus power, were quantified. Multivariate canonical discriminant analysis was used to summarize variables that efficiently and maximally differentiated groups. RESULTS (i) Psychosis groups showed reduced responses on ITC 20 Hz, STP/ITC 40 Hz, STP/ITC 80 Hz, indicating dimensional reductions in aSSR across the psychosis spectrum not specific to aSSR frequency. For the 40- and 80-Hz ITCs there was greater reduction in SZ compared to SAD, possibly indexing cortical disruptions linked to psychosis without mood symptoms. (ii) All probands had elevated pre-stimulus power, possibly compromising neural entrainment to the steady-state stimuli. (iii) Onset/Offset and 80 Hz ITC responses were most important for group discrimination and showed dimensional reduction across the schizo-bipolar spectrum. CONCLUSIONS Deviant aSSRs were found across the schizo-bipolar spectrum at multiple frequencies with psychosis status and severity linked to greatest reductions at low and high gamma.
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Affiliation(s)
- David A. Parker
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, United States
| | - Jordan P. Hamm
- Neuroscience Institute, Georgia State University, Atlanta, GA, United States
| | - Jennifer E. McDowell
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, United States
| | - Sarah K. Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States
| | - Elliot S. Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States
| | - Elena I. Ivleva
- Department of Psychiatry, UT-Southwestern Medical Center, Dallas, TX, United States
| | - Godfrey D. Pearlson
- Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, CT, United States,Institute of Living, Hartford Hospital, Hartford, CT, United States
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
| | - Carol A. Tamminga
- Department of Psychiatry, UT-Southwestern Medical Center, Dallas, TX, United States
| | - John A. Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States
| | - Brett A. Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA, United States
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74
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Jiang C, Lin WJ, Labonté B, Tamminga CA, Turecki G, Nestler EJ, Russo SJ, Salton SR. VGF and its C-terminal peptide TLQP-62 in ventromedial prefrontal cortex regulate depression-related behaviors and the response to ketamine. Neuropsychopharmacology 2019; 44:971-981. [PMID: 30504797 PMCID: PMC6462025 DOI: 10.1038/s41386-018-0277-4] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [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] [Received: 08/14/2018] [Accepted: 11/10/2018] [Indexed: 02/06/2023]
Abstract
Patients with major depressive disorder (MDD) often have structural and functional deficits in the ventromedial prefrontal cortex (vmPFC), but the underlying molecular pathways are incompletely understood. The neuropeptide precursor VGF (non-acronymic) plays a critical role in depression and antidepressant efficacy in hippocampus and nucleus accumbens, however its function in vmPFC has not been investigated. Here, we show that VGF levels were reduced in Brodmann area 25 (a portion of human vmPFC) of MDD patients and in mouse vmPFC following chronic restraint stress (CRS), and were increased by ketamine in mouse vmPFC. VGF overexpression in vmPFC prevented behavioral deficits induced by CRS, and VGF knockdown in vmPFC increased susceptibility to subchronic variable stress (SCVS) and reduced ketamine's antidepressant efficacy. Acute intra-vmPFC TLQP-62 infusion induced behavioral phenotypes that mimic those produced by antidepressant drug treatment. These antidepressant-like effects were sustained for 7 days and were abolished by local Bdnf gene ablation, or pretreatment with xestospongin C, an inhibitor of IP3-mediated Ca2+ release, or SKF96365, an inhibitor of store-operated and TRPC channel-mediated Ca2+ entry. In conclusion, VGF in the vmPFC regulates susceptibility to stress and the antidepressant response to ketamine. TLQP-62 infusion produces sustained antidepressant responses that require BDNF expression and calcium mobilization in vmPFC.
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Affiliation(s)
- Cheng Jiang
- 0000 0001 0670 2351grid.59734.3cDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Wei-Jye Lin
- 0000 0001 0670 2351grid.59734.3cDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 2360 039Xgrid.12981.33RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangdong, 510120 Guangzhou, China ,0000 0001 2360 039Xgrid.12981.33Guangdong Province Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangdong, Guangzhou, China
| | - Benoit Labonté
- 0000 0001 0670 2351grid.59734.3cDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0004 1936 8390grid.23856.3aDepartment of Neuroscience and Psychiatry, Faculty of Medicine, Laval University, 2601 Chemin de la Canardière, Québec, QC G1J 2G3 Canada
| | - Carol A. Tamminga
- 0000 0000 9482 7121grid.267313.2Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75235 USA
| | - Gustavo Turecki
- 0000 0004 1936 8649grid.14709.3bDepartment of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Eric J. Nestler
- 0000 0001 0670 2351grid.59734.3cDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 0670 2351grid.59734.3cFriedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Scott J. Russo
- 0000 0001 0670 2351grid.59734.3cDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 0670 2351grid.59734.3cFriedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Stephen R. Salton
- 0000 0001 0670 2351grid.59734.3cDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 0670 2351grid.59734.3cFriedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA ,0000 0001 0670 2351grid.59734.3cDepartment of Geriatrics, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
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75
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Reininghaus U, Böhnke JR, Chavez‐Baldini U, Gibbons R, Ivleva E, Clementz BA, Pearlson GD, Keshavan MS, Sweeney JA, Tamminga CA. Transdiagnostic dimensions of psychosis in the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP). World Psychiatry 2019; 18:67-76. [PMID: 30600629 PMCID: PMC6313235 DOI: 10.1002/wps.20607] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [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] [Indexed: 12/12/2022] Open
Abstract
The validity of the classification of non-affective and affective psychoses as distinct entities has been disputed, but, despite calls for alternative approaches to defining psychosis syndromes, there is a dearth of empirical efforts to identify transdiagnostic phenotypes of psychosis. We aimed to investigate the validity and utility of general and specific symptom dimensions of psychosis cutting across schizophrenia, schizoaffective disorder and bipolar I disorder with psychosis. Multidimensional item-response modeling was conducted on symptom ratings of the Positive and Negative Syndrome Scale, Young Mania Rating Scale, and Montgomery-Åsberg Depression Rating Scale in the multicentre Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) consortium, which included 933 patients with a diagnosis of schizophrenia (N=397), schizoaffective disorder (N=224), or bipolar I disorder with psychosis (N=312). A bifactor model with one general symptom dimension, two distinct dimensions of non-affective and affective psychosis, and five specific symptom dimensions of positive, negative, disorganized, manic and depressive symptoms provided the best model fit. There was further evidence on the utility of symptom dimensions for predicting B-SNIP psychosis biotypes with greater accuracy than categorical DSM diagnoses. General, positive, negative and disorganized symptom dimension scores were higher in African American vs. Caucasian patients. Symptom dimensions accurately classified patients into categorical DSM diagnoses. This study provides evidence on the validity and utility of transdiagnostic symptom dimensions of psychosis that transcend traditional diagnostic boundaries of psychotic disorders. Findings further show promising avenues for research at the interface of dimensional psychopathological phenotypes and basic neurobiological dimensions of psychopathology.
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Affiliation(s)
- Ulrich Reininghaus
- Central Institute of Mental Health, Medical Faculty MannheimUniversity of HeidelbergMannheimGermany,Department of Psychiatry and Neuropsychology, School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands,Centre for Epidemiology and Public Health, Health Service and Population Research DepartmentInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
| | - Jan R. Böhnke
- Dundee Centre for Health and Related Research, School of Nursing and Health SciencesUniversity of DundeeDundeeUK,Department of Health SciencesUniversity of YorkYorkUK
| | - UnYoung Chavez‐Baldini
- Department of Psychiatry and Neuropsychology, School for Mental Health and NeuroscienceMaastricht UniversityMaastrichtThe Netherlands
| | - Robert Gibbons
- Department of Medicine and Public Health SciencesUniversity of ChicagoChicagoILUSA
| | - Elena Ivleva
- Department of PsychiatryUT Southwestern UniversityDallasTXUSA
| | - Brett A. Clementz
- Departments of Psychology and NeuroscienceBio‐Imaging Research Center, University of GeorgiaAthensGAUSA
| | | | | | - John A. Sweeney
- Department of Psychiatry and Behavioral NeuroscienceUniversity of CincinnatiCincinnatiOHUSA
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76
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Chen J, Calhoun VD, Lin D, Perrone-Bizzozero NI, Bustillo JR, Pearlson GD, Potkin SG, van Erp TGM, Macciardi F, Ehrlich S, Ho BC, Sponheim SR, Wang L, Stephen JM, Mayer AR, Hanlon FM, Jung RE, Clementz BA, Keshavan MS, Gershon ES, Sweeney JA, Tamminga CA, Andreassen OA, Agartz I, Westlye LT, Sui J, Du Y, Turner JA, Liu J. Shared Genetic Risk of Schizophrenia and Gray Matter Reduction in 6p22.1. Schizophr Bull 2019; 45:222-232. [PMID: 29474680 PMCID: PMC6293216 DOI: 10.1093/schbul/sby010] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [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: 12/21/2022]
Abstract
Genetic factors are known to influence both risk for schizophrenia (SZ) and variation in brain structure. A pressing question is whether the genetic underpinnings of brain phenotype and the disorder overlap. Using multivariate analytic methods and focusing on 1,402 common single-nucleotide polymorphisms (SNPs) mapped from the Psychiatric Genomics Consortium (PGC) 108 regions, in 777 discovery samples, we identified 39 SNPs to be significantly associated with SZ-discriminating gray matter volume (GMV) reduction in inferior parietal and superior temporal regions. The findings were replicated in 609 independent samples. These 39 SNPs in chr6:28308034-28684183 (6p22.1), the most significant SZ-risk region reported by PGC, showed regulatory effects on both DNA methylation and gene expression of postmortem brain tissue and saliva. Furthermore, the regulated methylation site and gene showed significantly different levels of methylation and expression in the prefrontal cortex between cases and controls. In addition, for one regulated methylation site we observed a significant in vivo methylation-GMV association in saliva, suggesting a potential SNP-methylation-GMV pathway. Notably, the risk alleles inferred for GMV reduction from in vivo imaging are all consistent with the risk alleles for SZ inferred from postmortem data. Collectively, we provide evidence for shared genetic risk of SZ and regional GMV reduction in 6p22.1 and demonstrate potential molecular mechanisms that may drive the observed in vivo associations. This study motivates dissecting SZ-risk variants to better understand their associations with focal brain phenotypes and the complex pathophysiology of the illness.
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Affiliation(s)
- Jiayu Chen
- The Mind Research Network, Albuquerque, NM
| | - Vince D Calhoun
- The Mind Research Network, Albuquerque, NM
- Department of Electrical Engineering, University of New Mexico, Albuquerque, NM
| | | | - Nora I Perrone-Bizzozero
- Department of Neurosciences and Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM
| | - Juan R Bustillo
- Department of Neurosciences and Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT
- Department of Psychiatry, Yale University, New Haven, CT
- Department of Neuroscience, Yale University, New Haven, CT
| | - Steven G Potkin
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA
| | - Theo G M van Erp
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA
| | - Stefan Ehrlich
- MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Germany
| | - Beng-Choon Ho
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA
| | - Scott R Sponheim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN
- Minneapolis Veterans Administration Health Care System, Minneapolis, MN
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL
- Department of Radiology, Northwestern University, Chicago, IL
| | | | | | | | - Rex E Jung
- Department of Psychology, University of New Mexico, Albuquerque, NM
| | | | - Matcheri S Keshavan
- Department of Psychiatry, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH
| | - Carol A Tamminga
- Department of Psychiatry, UT Southwestern Medical School, Dallas, TX
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Jing Sui
- The Mind Research Network, Albuquerque, NM
- National Laboratory of Pattern Recognition, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Yuhui Du
- The Mind Research Network, Albuquerque, NM
| | - Jessica A Turner
- The Mind Research Network, Albuquerque, NM
- Psychology Department and Neuroscience Institute, Georgia State University, Atlanta, GA
| | - Jingyu Liu
- The Mind Research Network, Albuquerque, NM
- Department of Electrical Engineering, University of New Mexico, Albuquerque, NM
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77
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Freedman R, Lewis DA, Michels R, Pine DS, Rush AJ, Schultz SK, Tamminga CA, Glass O. 2018 in Review. Am J Psychiatry 2018; 175:1163-1166. [PMID: 30501415 DOI: 10.1176/appi.ajp.2018.18091065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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78
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Rubin LH, Li S, Yao L, Keedy SK, Reilly JL, Hill SK, Bishop JR, Carter CS, Pournajafi-Nazarloo H, Drogos LL, Gershon E, Pearlson GD, Tamminga CA, Clementz BA, Keshavan MS, Lui S, Sweeney JA. Peripheral oxytocin and vasopressin modulates regional brain activity differently in men and women with schizophrenia. Schizophr Res 2018; 202:173-179. [PMID: 30539769 PMCID: PMC6293995 DOI: 10.1016/j.schres.2018.07.003] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [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: 03/27/2018] [Revised: 05/29/2018] [Accepted: 07/01/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND Oxytocin (OT) and arginine vasopressin (AVP) exert sexually dimorphic effects on cognition and emotion processing. Abnormalities in these hormones are observed in schizophrenia and may contribute to multiple established sex differences associated with the disorder. Here we examined sex-dependent hormone associations with resting brain activity and their clinical associations in schizophrenia patients. METHODS OT and AVP serum concentrations were assayed in 35 individuals with schizophrenia (23 men) and 60 controls (24 men) from the Chicago BSNIP study site. Regional cerebral function was assessed with resting state fMRI by measuring the amplitude of low-frequency fluctuations (ALFF) which are believed to reflect intrinsic spontaneous neuronal activity. RESULTS In female patients, lower OT levels were associated with lower ALFF in frontal and cerebellar cortices (p's < 0.05) and in female controls AVP levels were inversely associated with ALFF in the frontal cortex (p = 0.01). In male patients, lower OT levels were associated with lower ALFF in the posterior cingulate and lower AVP levels were associated with lower ALFF in frontal cortex (p's < 0.05). In male controls, lower OT levels were associated with lower ALFF in frontal cortex and higher ALFF in the thalamus (p's < 0.05). There were some inverse ALFF-behavior associations in patients. CONCLUSIONS Alterations in peripheral hormone levels are associated with resting brain physiology in a sex-dependent manner in schizophrenia. These effects may contribute to sex differences in psychiatric symptom severity and course of illness in schizophrenia.
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Affiliation(s)
- Leah H. Rubin
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL,Departments of Neurology and Epidemiology, Johns Hopkins University, Baltimore, MD
| | - Siyi Li
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, People’s Republic of China
| | - Li Yao
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, People’s Republic of China
| | - Sarah K. Keedy
- Department of Psychiatry, University of Chicago, Chicago, IL
| | - James L. Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL
| | - Scot K. Hill
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL
| | - Jeffrey R. Bishop
- Departments of Pharmacy and Psychiatry, University of Minnesota, Minneapolis, MN
| | | | | | - Lauren L. Drogos
- Departments of Physiology and Pharmacology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Elliot Gershon
- Department of Psychiatry, University of Chicago, Chicago, IL
| | - Godfrey D. Pearlson
- Departments of Psychiatry and Neurobiology, Yale University and Olin Neuropsychiatric Research Center, Hartford, CT
| | - Carol A. Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA
| | - Su Lui
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
| | - John A. Sweeney
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, People’s Republic of China,Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX,Department of Psychiatry, University of Cincinnati
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79
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Affiliation(s)
- Carol A. Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas
| | - Elena I. Ivleva
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas
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80
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Lencer R, Yao L, Reilly JL, Keedy SK, McDowell JE, Keshavan MS, Pearlson GD, Tamminga CA, Gershon ES, Clementz BA, Lui S, Sweeney JA. Alterations in intrinsic fronto-thalamo-parietal connectivity are associated with cognitive control deficits in psychotic disorders. Hum Brain Mapp 2018; 40:163-174. [PMID: 30260540 DOI: 10.1002/hbm.24362] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 07/25/2018] [Accepted: 08/08/2018] [Indexed: 02/05/2023] Open
Abstract
Despite a growing number of reports about alterations in intrinsic/resting brain activity observed in patients with psychotic disorders, their relevance to well-established cognitive control deficits in this patient group is not well understood. Totally 88 clinically stabilized patients with a psychotic disorder and 50 healthy controls participated in a resting-state magnetic resonance imaging study (rs-MRI) and performed an antisaccade task in the laboratory to assess voluntary inhibitory control ability. Deficits on this task are a well-established biomarker across psychotic disorders as we found in the present patient sample. First, regional cerebral function was evaluated by measuring the amplitude of low frequency fluctuations (ALFF) in rs-MRI BOLD signals. We found reduced ALFF in patients in regions known to be relevant to antisaccade task performance including bilateral frontal eye fields (FEF), supplementary eye fields (SEF) and thalamus. Second, areas with ALFF alterations were used as seed areas in whole-brain functional connectivity (FC) analysis. Altered FC was observed in a fronto-thalamo-parietal network that was associated with inhibition error rate in patients but not in controls. In contrast, faster time to generate a correct antisaccade was associated with FC in FEF and SEF in controls but this effect was not seen in patients. These findings establish a behavioral relevance of resting-state fMRI findings in psychotic disorders, and extend previous reports of alterations in fronto-thalamo-parietal network activation during antisaccade performance seen in task-based fMRI studies.
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Affiliation(s)
- Rebekka Lencer
- Department of Psychiatry and Psychotherapy, and Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Muenster, Muenster, Germany
| | - Li Yao
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
| | - James L Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Sarah K Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL
| | | | - Matcheri S Keshavan
- Department of Psychiatry, Harvard Medical School, Beth Israel Deacones Medical Center, Boston, MA
| | - Godfrey D Pearlson
- Departments of Psychiatry and Neurobiology, Yale School of Medicine, and Olin Research Center, Institute of Living/Hartford Hospital, Hartford, CT
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL
| | | | - Su Lui
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
| | - John A Sweeney
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.,Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX.,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH
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81
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Freedman R, Brown AS, Cannon TD, Druss BG, Earls FJ, Escobar J, Hurd YL, Lewis DA, López-Jaramillo C, Luby J, Mayberg HS, Moffitt TE, Oquendo M, Perlis RH, Pine DS, Rush AJ, Tamminga CA, Tohen M, Vieta E, Wisner KL, Xin Y. Can a Framework Be Established for the Safe Use of Ketamine? Am J Psychiatry 2018; 175:587-589. [PMID: 29656666 DOI: 10.1176/appi.ajp.2018.18030290] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Robert Freedman
- The authors are members of the Editorial Board of the Journal
| | - Alan S Brown
- The authors are members of the Editorial Board of the Journal
| | - Tyrone D Cannon
- The authors are members of the Editorial Board of the Journal
| | | | - Felton J Earls
- The authors are members of the Editorial Board of the Journal
| | - Javier Escobar
- The authors are members of the Editorial Board of the Journal
| | - Yasmin L Hurd
- The authors are members of the Editorial Board of the Journal
| | - David A Lewis
- The authors are members of the Editorial Board of the Journal
| | | | - Joan Luby
- The authors are members of the Editorial Board of the Journal
| | - Helen S Mayberg
- The authors are members of the Editorial Board of the Journal
| | | | - Maria Oquendo
- The authors are members of the Editorial Board of the Journal
| | - Roy H Perlis
- The authors are members of the Editorial Board of the Journal
| | - Daniel S Pine
- The authors are members of the Editorial Board of the Journal
| | - A John Rush
- The authors are members of the Editorial Board of the Journal
| | | | - Mauricio Tohen
- The authors are members of the Editorial Board of the Journal
| | - Eduard Vieta
- The authors are members of the Editorial Board of the Journal
| | | | - Yu Xin
- The authors are members of the Editorial Board of the Journal
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82
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Jiang C, Lin WJ, Sadahiro M, Labonté B, Menard C, Pfau ML, Tamminga CA, Turecki G, Nestler EJ, Russo SJ, Salton SR. VGF function in depression and antidepressant efficacy. Mol Psychiatry 2018; 23:1632-1642. [PMID: 29158577 PMCID: PMC5962361 DOI: 10.1038/mp.2017.233] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2017] [Revised: 09/18/2017] [Accepted: 10/09/2017] [Indexed: 12/14/2022]
Abstract
Brain-derived neurotrophic factor (BDNF) is a critical effector of depression-like behaviors and antidepressant responses. Here, we show that VGF (non-acronymic), which is robustly regulated by BDNF/TrkB signaling, is downregulated in hippocampus (male/female) and upregulated in nucleus accumbens (NAc) (male) in depressed human subjects and in mice subjected to chronic social defeat stress (CSDS). Adeno-associated virus (AAV)-Cre-mediated Vgf ablation in floxed VGF mice, in dorsal hippocampus (dHc) or NAc, led to pro-depressant or antidepressant behaviors, respectively, while dHc- or NAc-AAV-VGF overexpression induced opposite outcomes. Mice with reduced VGF levels in the germ line (Vgf+/-) or in dHc (AAV-Cre-injected floxed mice) showed increased susceptibility to CSDS and impaired responses to ketamine treatment in the forced swim test. Floxed mice with conditional pan-neuronal (Synapsin-Cre) but not those with forebrain (αCaMKII-Cre) Vgf ablation displayed increased susceptibility to subthreshold social defeat stress, suggesting that neuronal VGF, expressed in part in inhibitory interneurons, regulates depression-like behavior. Acute antibody-mediated sequestration of VGF-derived C-terminal peptides AQEE-30 and TLQP-62 in dHc induced pro-depressant effects. Conversely, dHc TLQP-62 infusion had rapid antidepressant efficacy, which was reduced in BDNF floxed mice injected in dHc with AAV-Cre, and in NBQX- and rapamycin-pretreated wild-type mice, these compounds blocking α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor and mammalian target of rapamycin (mTOR) signaling, respectively. VGF is therefore a critical modulator of depression-like behaviors in dHc and NAc. In hippocampus, the antidepressant response to ketamine is associated with rapid VGF translation, is impaired by reduced VGF expression, and as previously reported, requires coincident, rapid BDNF translation and release.
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Affiliation(s)
- Cheng Jiang
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Wei-Jye Lin
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Masato Sadahiro
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Benoit Labonté
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Caroline Menard
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Madeline L. Pfau
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Carol A. Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75235, USA
| | - Gustavo Turecki
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Eric J. Nestler
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Scott J. Russo
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Stephen R. Salton
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Department of Geriatrics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA,Corresponding author: Dr. Stephen R. Salton, Department of Neuroscience, Box 1639, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York NY, 10029 USA Tel: 1-212-824-9308; Fax: 1-646-537-9583;
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83
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Abush H, Ghose S, Van Enkevort EA, Clementz BA, Pearlson GD, Sweeney JA, Keshavan MS, Tamminga CA, Ivleva EI. Associations between adolescent cannabis use and brain structure in psychosis. Psychiatry Res Neuroimaging 2018; 276:53-64. [PMID: 29628270 PMCID: PMC5959798 DOI: 10.1016/j.pscychresns.2018.03.008] [Citation(s) in RCA: 12] [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: 11/09/2017] [Revised: 03/20/2018] [Accepted: 03/21/2018] [Indexed: 01/28/2023]
Abstract
Associations between cannabis use and psychotic disorders suggest that cannabis may be a contributory risk factor in the neurobiology of psychosis. In this study, we examined brain structure characteristics, total and regional gray matter density (GMD), using Voxel Based Morphometry, in psychotic individuals, stratified by history of cannabis use (total n = 109). We also contrasted GMD estimates in individual diagnostic groups (schizophrenia/bipolar I disorder) with and without history of adolescent cannabis use (ACU). Individuals with psychosis as a whole, both with and without history of ACU, had lower total and regional GMD, compared to healthy controls. ACU was associated with attenuated GMD reductions, compared to non-users, especially in the schizophrenia cases, who showed robust GMD reductions in fronto-temporal and parietal cortex, as well as subcortical regions. Notably, total and regional GMD estimates in individuals with psychosis and ACU were not different from controls with no ACU. These data indicate that the history of ACU in psychotic individuals is associated with attenuated GMD abnormalities. Future investigations targeting potential unique etiological and risk factors associated with psychosis in individuals with ACU may help in understanding of the neurobiology of psychotic disorders and novel treatment options for these individuals.
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Affiliation(s)
- Hila Abush
- Department of Psychiatry, UT Southwestern Medical Center, Dallas TX, USA
| | - Subroto Ghose
- Department of Psychiatry, UT Southwestern Medical Center, Dallas TX, USA
| | | | - Brett A Clementz
- Departments of Psychology and Neuroscience, BioImaging Research Center, University of Georgia, Athens GA, USA
| | - Godfrey D Pearlson
- Department of Psychiatry, Yale University School of Medicine, New Haven CT, USA; Institute of Living, Hartford Hospital, Hartford CT, USA
| | - John A Sweeney
- Department of Psychiatry, UT Southwestern Medical Center, Dallas TX, USA
| | | | - Carol A Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas TX, USA
| | - Elena I Ivleva
- Department of Psychiatry, UT Southwestern Medical Center, Dallas TX, USA.
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84
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Hudgens-Haney ME, Ethridge LE, McDowell JE, Keedy SK, Pearlson GD, Tamminga CA, Keshavan MS, Sweeney JA, Clementz BA. Psychosis subgroups differ in intrinsic neural activity but not task-specific processing. Schizophr Res 2018; 195:222-230. [PMID: 28844436 PMCID: PMC5826774 DOI: 10.1016/j.schres.2017.08.023] [Citation(s) in RCA: 10] [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: 04/25/2017] [Revised: 08/11/2017] [Accepted: 08/16/2017] [Indexed: 12/12/2022]
Abstract
Individuals with psychosis often show high levels of intrinsic, or nonspecific, neural activity, but attenuated stimulus-specific activity. Clementz et al. (2016) proposed that one subgroup of psychosis cases has accentuated intrinsic activity (Biotype-2's) and a different subgroup (Biotype-1's) has diminished intrinsic activity, with both groups exhibiting varying degrees of cognitive deficits. This model was studied by assessing neural activity in psychosis probands (N=105) during baseline and a 5second period in preparation for a pro-/anti-saccade task. Steady-state stimuli allowed real-time assessment of modulation of visuocortical investment to different target locations. Psychosis probands as a whole showed poor antisaccade performance. As expected, Biotype-1 showed diminished intrinsic neural activity and the worst behavior, and Biotype-2 showed accentuated intrinsic activity and less deviant behavior. Both of these groups also exhibited less dynamic oscillatory phase synchrony. Biotype-3 showed no neurophysiological differences from healthy individuals, despite a history of psychosis. Interestingly, all psychosis subgroups showed normal (i.e., not different from healthy) preparatory modulation of visuocortical investment as a function of cognitive demands, despite varying levels of task performance. Similar analyses conducted subgrouping cases by psychotic symptomatology revealed fewer and less consistent differences, including no intrinsic activity differences between any clinical subgroup and healthy individuals. This study illustrates that (i) differences in intrinsic neural activity may be a fundamental characteristic of psychosis and need to be evaluated separately from stimulus-specific responses, and (ii) grouping patients based on multidimensional classification using neurobiological data may have advantages for resolving heterogeneity and clarifying illness mechanisms relative to traditional psychiatric diagnoses.
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Affiliation(s)
- Matthew E. Hudgens-Haney
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Lauren E. Ethridge
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma,Department of Psychology, University of Oklahoma, Norman, Oklahoma
| | - Jennifer E. McDowell
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Sarah K. Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois
| | - Godfrey D. Pearlson
- Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Connecticut,Institute of Living, Hartford Hospital, Hartford, Connecticut
| | | | | | - John A. Sweeney
- Department of Psychiatry, UT-Southwestern, Dallas, Texas,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Ohio
| | - Brett A. Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia,To whom correspondence should be addressed: Brett A. Clementz, Ph.D. Psychology Department, Psychology Building, University of Georgia, Athens, GA 30602. , 706-542-2174
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85
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Clementz BA, Sweeney JA, Hamm JP, Ivleva EI, Ethridge LE, Pearlson GD, Keshavan MS, Tamminga CA. Identification of Distinct Psychosis Biotypes Using Brain-Based Biomarkers. Focus (Am Psychiatr Publ) 2018; 16:225-236. [PMID: 32015710 DOI: 10.1176/appi.focus.16207] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
(Reprinted with permission from American Journal of Psychiatry 2016; 173:373-384).
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86
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Rodrigue AL, McDowell JE, Tandon N, Keshavan MS, Tamminga CA, Pearlson GD, Sweeney JA, Gibbons RD, Clementz BA. Multivariate Relationships Between Cognition and Brain Anatomy Across the Psychosis Spectrum. Biol Psychiatry Cogn Neurosci Neuroimaging 2018; 3:992-1002. [PMID: 29759822 DOI: 10.1016/j.bpsc.2018.03.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 03/08/2018] [Accepted: 03/09/2018] [Indexed: 12/21/2022]
Abstract
BACKGROUND Cognitive and structural brain abnormalities range from mild to severe in psychosis. The relationships of specific cognitive functions to specific brain structures across the psychosis spectrum is less certain. METHODS Participants (n = 678) with bipolar, schizoaffective, or schizophrenia psychoses and healthy control subjects were recruited via the Bipolar-Schizophrenia Network for Intermediate Phenotypes. The Schizo-Bipolar Scale was used to create a psychosis continuum (from purely affective to purely nonaffective). Canonical correlation between 14 cognitive measures and structural brain measures (gray matter volume, cortical thickness, cortical surface area, and local gyrification indices) for 68 neocortical regions yielded constructs that defined shared cognition-brain structure relationships. Canonical discriminant analysis was used to integrate these constructs and efficiently summarize cognition-brain structure relationships across the psychosis continuum. RESULTS General cognition was associated with larger gray matter volumes and thicker cortices but smaller cortical surface area in frontoparietal regions. Working memory was associated with larger volume and surface area in frontotemporal regions. Faster response speed was associated with thicker frontal cortices. Constructs that captured general cognitive ability and working memory and their relationship to cortical volumes primarily defined an ordered psychosis spectrum (purely affective, least abnormal through purely nonaffective, and most abnormal). A construct that captured general cognitive ability and its relationship to cortical surface area differentiated purely affective cases from other groups. CONCLUSIONS General cognition and working memory with cortical volume deviations characterized more nonaffective psychoses. Alternatively, affective psychosis cases with general cognitive deficits had deviations in cortical surface area, perhaps accounting for heterogeneous findings across previous studies.
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Affiliation(s)
- Amanda L Rodrigue
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Jennifer E McDowell
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Neeraj Tandon
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Godfrey D Pearlson
- Departments of Psychiatry and Neuroscience, Yale University School of Medicine, New Haven, Connecticut; Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, Connecticut
| | - John A Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio
| | - Robert D Gibbons
- Department of Medicine and Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Brett A Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia.
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87
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Scott D, Tamminga CA. Effects of genetic and environmental risk for schizophrenia on hippocampal activity and psychosis-like behavior in mice. Behav Brain Res 2018; 339:114-123. [PMID: 29155005 DOI: 10.1016/j.bbr.2017.10.039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 10/27/2017] [Accepted: 10/31/2017] [Indexed: 10/18/2022]
Abstract
Schizophrenia is a serious mental illness most notably characterized by psychotic symptoms. In humans, psychotic disorders are associated with specific hippocampal pathology. However, animal model systems for psychosis often lack this pathology, and have been weak in providing a representation of psychosis. We utilized a double-risk model system combining genetic risk with environmental stress. We hypothesized these factors will induce hippocampal subfield pathology consistent with human findings, as well as behavioral phenotypes relevant to psychosis. To address this, we exposed wild-type and transgenic Disc1 dominant negative (Disc1-deficient) mice to maternal deprivation. In adulthood, hippocampal subfields were examined for signs of cellular and behavioral pathology associated with psychosis. Mice exposed to maternal deprivation showed a decrease in dentate gyrus activity, and an increase in CA3/CA1 activity. Furthermore, results demonstrated a differential behavioral effect between maternal deprivation and Disc1 deficiency, with maternal deprivation associated with a hyperactive phenotype and impaired prepulse inhibition, and Disc1 deficiency causing an impairment in fear conditioning. These results suggest distinct consequences of environmental and genetic risk factors contributing to psychosis, with maternal deprivation inducing a state more wholly consistent with schizophrenia psychosis. Further research is needed to determine if this pathology is causally related to a specific behavioral phenotype. The development of a strong inference animal model system for psychosis would satisfy a high medical need in schizophrenia research.
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Affiliation(s)
- Daniel Scott
- Department of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas TX, 75390-9127, United States.
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas TX, 75390-9127, United States
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88
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Fontenot MR, Berto S, Liu Y, Werthmann G, Douglas C, Usui N, Gleason K, Tamminga CA, Takahashi JS, Konopka G. Novel transcriptional networks regulated by CLOCK in human neurons. Genes Dev 2017; 31:2121-2135. [PMID: 29196536 PMCID: PMC5749161 DOI: 10.1101/gad.305813.117] [Citation(s) in RCA: 24] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Accepted: 11/07/2017] [Indexed: 01/01/2023]
Abstract
Fontenot et al. show that CLOCK regulates the expression of genes involved in neuronal migration. Dysregulation of CLOCK disrupts coexpressed networks of genes implicated in neuropsychiatric disorders, and the expression of these networks is driven by hub genes with human-specific patterns of expression. The molecular mechanisms underlying human brain evolution are not fully understood; however, previous work suggested that expression of the transcription factor CLOCK in the human cortex might be relevant to human cognition and disease. In this study, we investigated this novel transcriptional role for CLOCK in human neurons by performing chromatin immunoprecipitation sequencing for endogenous CLOCK in adult neocortices and RNA sequencing following CLOCK knockdown in differentiated human neurons in vitro. These data suggested that CLOCK regulates the expression of genes involved in neuronal migration, and a functional assay showed that CLOCK knockdown increased neuronal migratory distance. Furthermore, dysregulation of CLOCK disrupts coexpressed networks of genes implicated in neuropsychiatric disorders, and the expression of these networks is driven by hub genes with human-specific patterns of expression. These data support a role for CLOCK-regulated transcriptional cascades involved in human brain evolution and function.
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Affiliation(s)
- Miles R Fontenot
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Stefano Berto
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Yuxiang Liu
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Gordon Werthmann
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Connor Douglas
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Noriyoshi Usui
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Kelly Gleason
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Joseph S Takahashi
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.,Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Genevieve Konopka
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA
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89
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Freedman R, Lewis DA, Michels R, Pine DS, Rush AJ, Schultz SK, Tamminga CA, Katz R. 2017 in Review. Am J Psychiatry 2017; 174:1140-1143. [PMID: 29191032 DOI: 10.1176/appi.ajp.2017.17101073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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90
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Rubin LH, Yao L, Keedy SK, Reilly JL, Bishop JR, Carter CS, Pournajafi-Nazarloo H, Drogos LL, Tamminga CA, Pearlson GD, Keshavan MS, Clementz BA, Hill SK, Liao W, Ji GJ, Lui S, Sweeney JA. Sex differences in associations of arginine vasopressin and oxytocin with resting-state functional brain connectivity. J Neurosci Res 2017; 95:576-586. [PMID: 27870395 DOI: 10.1002/jnr.23820] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Revised: 06/04/2016] [Accepted: 06/13/2016] [Indexed: 02/05/2023]
Abstract
Oxytocin (OT) and arginine vasopressin (AVP) exert robust and sexually dimorphic influences on cognition and emotion. How these hormones regulate relevant functional brain systems is not well understood. OT and AVP serum concentrations were assayed in 60 healthy individuals (36 women). Brain functional networks assessed with resting-state functional magnetic resonance imaging (rs-fMRI) were constructed with graph theory-based approaches that characterize brain networks as connected nodes. Sex differences were demonstrated in rs-fMRI. Men showed higher nodal degree (connectedness) and efficiency (information propagation capacity) in left inferior frontal gyrus (IFG) and bilateral superior temporal gyrus (STG) and higher nodal degree in left rolandic operculum. Women showed higher nodal betweenness (being part of paths between nodes) in right putamen and left inferior parietal gyrus (IPG). Higher hormone levels were associated with less intrinsic connectivity. In men, higher AVP was associated with lower nodal degree and efficiency in left IFG (pars orbitalis) and left STG and less efficiency in left IFG (pars triangularis). In women, higher AVP was associated with lower betweenness in left IPG, and higher OT was associated with lower nodal degree in left IFG (pars orbitalis). Hormones differentially correlate with brain networks that are important for emotion processing and cognition in men and women. AVP in men and OT in women may regulate orbital frontal cortex connectivity, which is important in emotion processing. Hormone associations with STG and pars triangularis in men and parietal cortex in women may account for well-established sex differences in verbal and visuospatial abilities, respectively. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Leah H Rubin
- Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois
| | - Li Yao
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
| | - Sarah K Keedy
- Psychiatry, University of Chicago, Chicago, Illinois
| | - James L Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, Illinois
| | - Jeffrey R Bishop
- Pharmacy and Psychiatry, University of Minnesota, Minneapolis, Minnesota
| | | | | | - Lauren L Drogos
- Departments of Physiology and Pharmacology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Carol A Tamminga
- Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Godfrey D Pearlson
- Departments of Psychiatry and Neurobiology, Yale University and Olin Neuropsychiatric Research Center, Hartford, Connecticut
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Brett A Clementz
- Department of Psychology, University of Georgia, Athens, Georgia
| | - Scot K Hill
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois
| | - Wei Liao
- Center for Information in Biomedicine, Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, People's Republic of China
| | - Gong-Jun Ji
- Laboratory of Cognitive Neuropsychology, Department of Medical Psychology, Anhui Medical University, Hefei, People's Republic of China
| | - Su Lui
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
| | - John A Sweeney
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China.,Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
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91
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Lencer R, Mills LJ, Alliey-Rodriguez N, Shafee R, Lee AM, Reilly JL, Sprenger A, McDowell JE, McCarroll SA, Keshavan MS, Pearlson GD, Tamminga CA, Clementz BA, Gershon ES, Sweeney JA, Bishop JR. Genome-wide association studies of smooth pursuit and antisaccade eye movements in psychotic disorders: findings from the B-SNIP study. Transl Psychiatry 2017; 7:e1249. [PMID: 29064472 PMCID: PMC5682604 DOI: 10.1038/tp.2017.210] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Accepted: 07/14/2017] [Indexed: 02/07/2023] Open
Abstract
Eye movement deviations, particularly deficits of initial sensorimotor processing and sustained pursuit maintenance, and antisaccade inhibition errors, are established intermediate phenotypes for psychotic disorders. We here studied eye movement measures of 849 participants from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study (schizophrenia N=230, schizoaffective disorder N=155, psychotic bipolar disorder N=206 and healthy controls N=258) as quantitative phenotypes in relation to genetic data, while controlling for genetically derived ancestry measures, age and sex. A mixed-modeling genome-wide association studies approach was used including ~4.4 million genotypes (PsychChip and 1000 Genomes imputation). Across participants, sensorimotor processing at pursuit initiation was significantly associated with a single nucleotide polymorphism in IPO8 (12p11.21, P=8 × 10-11), whereas suggestive associations with sustained pursuit maintenance were identified with SNPs in SH3GL2 (9p22.2, P=3 × 10-8). In participants of predominantly African ancestry, sensorimotor processing was also significantly associated with SNPs in PCDH12 (5q31.3, P=1.6 × 10-10), and suggestive associations were observed with NRSN1 (6p22.3, P=5.4 × 10-8) and LMO7 (13q22.2, P=7.3x10-8), whereas antisaccade error rate was significantly associated with a non-coding region at chromosome 7 (P=6.5 × 10-9). Exploratory pathway analyses revealed associations with nervous system development and function for 40 top genes with sensorimotor processing and pursuit maintenance (P=4.9 × 10-2-9.8 × 10-4). Our findings suggest novel patterns of genetic variation relevant for brain systems subserving eye movement control known to be impaired in psychotic disorders. They include genes involved in nuclear trafficking and gene silencing (IPO8), fast axonal guidance and synaptic specificity (PCDH12), transduction of nerve signals (NRSN1), retinal degeneration (LMO7), synaptic glutamate release (SH3GL2), and broader nervous system development and function.
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Affiliation(s)
- R Lencer
- Department of Psychiatry and Psychotherapy, Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Muenster, Muenster, Germany
| | - L J Mills
- Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, USA
| | - N Alliey-Rodriguez
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - R Shafee
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - A M Lee
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - J L Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - A Sprenger
- Department of Neurology, University of Luebeck, Luebeck, Germany
| | - J E McDowell
- Department of Psychology and Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA, USA
| | - S A McCarroll
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - M S Keshavan
- Department of Psychiatry, Harvard Medical School, Beth Israel Deacones Medical Center, Boston, MA, USA
| | - G D Pearlson
- Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, CT, USA
- Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - C A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - B A Clementz
- Department of Psychology and Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA, USA
| | - E S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - J A Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - J R Bishop
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
- Department of Psychiatry, University of Minnesota College of Medicine, Minneapolis, MN, USA
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92
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Abstract
This review concerns epigenetic mechanisms and their roles in conferring interindividual differences, especially as related to experientially acquired and genetically driven changes in central nervous system (CNS) function. In addition, the review contains commentary regarding the possible ways in which epigenomic changes may contribute to neuropsychiatric conditions and disorders and ways in which epigenotyping might be cross-correlated with clinical phenotyping in the context of precision medicine. The review begins with a basic description of epigenetic marking in the CNS and how these changes are powerful regulators of gene readout. Means for characterizing the individual epigenotype are briefly described, with a focus on DNA cytosine methylation as a readily measurable, stable epigenetic mark. This background enables a discussion of how “epigenotyping” might be integrated along with genotyping and deep phenotyping as a means of implementing advanced precision medicine. Finally, the commentary addresses two exemplars when considering how epigenotype may correlate with and modulate cognitive and behavioral phenotype: schizophrenia and Rett syndrome. These two disorders provide an interesting compare-and-contrast example regarding possible epigenotypic regulation of behavior: whereas Rett syndrome is clearly established as being caused by disruption of the function of an epigenetic “reader” of the DNA cytosine methylome—methyl-CpG-binding protein 2 (MeCP2)—the case for a role for epigenetic mechanisms in schizophrenia is still quite speculative.
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Affiliation(s)
- J David Sweatt
- Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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93
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Ivleva EI, Clementz BA, Dutcher AM, Arnold SJ, Jeon-Slaughter H, Aslan S, Witte B, Poudyal G, Lu H, Meda SA, Pearlson GD, Sweeney JA, Keshavan MS, Tamminga CA. Brain Structure Biomarkers in the Psychosis Biotypes: Findings From the Bipolar-Schizophrenia Network for Intermediate Phenotypes. Biol Psychiatry 2017; 82:26-39. [PMID: 27817844 PMCID: PMC6501573 DOI: 10.1016/j.biopsych.2016.08.030] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [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: 05/19/2016] [Revised: 08/17/2016] [Accepted: 08/17/2016] [Indexed: 11/27/2022]
Abstract
BACKGROUND The current definitions of psychotic illness lack biological validity, motivating alternative biomarker-driven disease entities. Building on experimental constructs-Biotypes-that were previously developed from cognitive and neurophysiologic measures, we contrast brain anatomy characteristics across Biotypes alongside conventional diagnoses, examining gray matter density (GMD) as an independent validator for the Biotypes. METHODS Whole brain GMD measures were examined in probands, their relatives, and healthy subjects organized by Biotype and then by DSM-IV-TR diagnosis (n = 1409) using voxel-based morphometry with subsequent subject-level regional characterization and distribution analyses. RESULTS Probands grouped by Biotype versus healthy controls showed a stepwise pattern of GMD reductions as follows: Biotype1, extensive and diffusely distributed GMD loss, with the largest effects in frontal, anterior/middle cingulate cortex, and temporal regions; Biotype2, intermediate and more localized reductions, with the largest effects in insula and frontotemporal regions; and Biotype3, small reductions localized to anterior limbic regions. Relatives showed regionally distinct GMD reductions versus healthy controls, with primarily anterior (frontotemporal) effects in Biotype1; posterior (temporo-parieto-cerebellar) in Biotype2; and normal GMD in Biotype3. Schizophrenia and schizoaffective probands versus healthy controls showed overlapping GMD reductions, with the largest effects in frontotemporal and parietal regions; psychotic bipolar probands had small reductions, primarily in frontal regions. GMD changes in relatives followed regional patterns observed in probands, albeit less extensive. Biotypes showed stronger between-group separation based on GMD than the conventional diagnoses and were the strongest predictor of GMD change. CONCLUSIONS GMD biomarkers depicted unique brain structure characteristics within Biotypes, consistent with their cognitive and sensorimotor profiles, and provided stronger discrimination for biologically driven biotypes than symptom-based diagnoses.
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Affiliation(s)
| | | | | | | | | | - Sina Aslan
- Advance MRI, LLC, Frisco,University of Texas at Dallas, Richardson, Texas
| | - Bradley Witte
- University of Texas Southwestern Medical Center, Dallas
| | | | - Hanzhang Lu
- University of Texas Southwestern Medical Center, Dallas,Johns Hopkins University, Baltimore, Maryland
| | | | - Godfrey D. Pearlson
- Institute of Living/Hartford Hospital, Hartford,Yale School of Medicine, New Haven, Connecticut
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94
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Sheffield JM, Kandala S, Tamminga CA, Pearlson GD, Keshavan MS, Sweeney JA, Clementz BA, Lerman-Sinkoff DB, Hill SK, Barch DM. Transdiagnostic Associations Between Functional Brain Network Integrity and Cognition. JAMA Psychiatry 2017; 74:605-613. [PMID: 28467520 PMCID: PMC5539843 DOI: 10.1001/jamapsychiatry.2017.0669] [Citation(s) in RCA: 91] [Impact Index Per Article: 13.0] [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: 12/11/2022]
Abstract
IMPORTANCE Cognitive impairment occurs across the psychosis spectrum and is associated with functional outcome. However, it is unknown whether these shared manifestations of cognitive dysfunction across diagnostic categories also reflect shared neurobiological mechanisms or whether the source of impairment differs. OBJECTIVE To examine whether the general cognitive deficit observed across psychotic disorders is similarly associated with functional integrity of 2 brain networks widely implicated in supporting many cognitive domains. DESIGN, SETTING, AND PARTICIPANTS A total of 201 healthy control participants and 375 patients with psychotic disorders from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) consortium were studied from September 29, 2007, to May 31, 2011. The B-SNIP recruited healthy controls and stable outpatients from 6 sites: Baltimore, Maryland; Boston, Massachusetts; Chicago, Illinois; Dallas, Texas; Detroit, Michigan; and Hartford, Connecticut. All participants underwent cognitive testing and resting-state functional magnetic resonance imaging. Data analysis was performed from April 28, 2015, to February 21, 2017. MAIN OUTCOMES AND MEASURES The Brief Assessment of Cognition in Schizophrenia was used to measure cognitive ability. A principal axis factor analysis on the Brief Assessment of Cognition in Schizophrenia battery yielded a single factor (54% variance explained) that served as the measure of general cognitive ability. Functional network integrity measures included global and local efficiency of the whole brain, cingulo-opercular network (CON), frontoparietal network, and auditory network and exploratory analyses of all networks from the Power atlas. Group differences in network measures, associations between cognition and network measures, and mediation models were tested. RESULTS The final sample for the current study included 201 healthy controls, 143 patients with schizophrenia, 103 patients with schizoaffective disorder, and 129 patients with psychotic bipolar disorder (mean [SD] age, 35.1 [12.0] years; 281 male [48.8%] and 295 female [51.2%]; 181 white [31.4%], 348 black [60.4%], and 47 other [8.2%]). Patients with schizophrenia (Cohen d = 0.36, P < .001) and psychotic bipolar disorder (Cohen d = 0.33, P = .002) had significantly reduced CON global efficiency compared with healthy controls. All patients with psychotic disorders had significantly reduced CON local efficiency, but the clinical groups did not differ from one another. The CON global efficiency was significantly associated with general cognitive ability across all groups (β = 0.099, P = .009) and significantly mediated the association between psychotic disorder status and general cognition (β = -0.037; 95% CI, -0.076 to -0.014). Subcortical network global efficiency was also significantly reduced in psychotic disorders (F3,587 = 4.01, P = .008) and positively predicted cognitive ability (β = 0.094, P = .009). CONCLUSIONS AND RELEVANCE These findings provide evidence that reduced CON and subcortical network efficiency play a role in the general cognitive deficit observed across the psychosis spectrum. They provide new support for the dimensional hypothesis that a shared neurobiological mechanism underlies cognitive impairment in psychotic disorders.
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Affiliation(s)
- Julia M. Sheffield
- Department of Psychological and Brain Sciences, Washington University, St Louis, Missouri
| | - Sridhar Kandala
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Carol A. Tamminga
- Department of Psychiatry and Pediatrics, University of Texas Southwestern Medical Center, Dallas
| | - Godfrey D. Pearlson
- Departments of Psychiatry and Neurobiology, Yale University, New Haven, Connecticut,Olin Research Center, Institute of Living, Hartford, Connecticut
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - John A. Sweeney
- Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio
| | - Brett A. Clementz
- BioImaging Research Center, Department of Psychology, University of Georgia, Athens,BioImaging Research Center, Department of Neuroscience, University of Georgia, Athens
| | | | - S. Kristian Hill
- Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago, Illinois
| | - Deanna M. Barch
- Department of Psychological and Brain Sciences, Washington University, St Louis, Missouri,Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri,Department of Radiology, Washington University School of Medicine, St Louis, Missouri
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95
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Hudgens-Haney ME, Ethridge LE, Knight JB, McDowell JE, Keedy SK, Pearlson GD, Tamminga CA, Keshavan MS, Sweeney JA, Clementz BA. Intrinsic neural activity differences among psychotic illnesses. Psychophysiology 2017; 54:1223-1238. [PMID: 28419491 DOI: 10.1111/psyp.12875] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 03/03/2017] [Accepted: 03/11/2017] [Indexed: 12/13/2022]
Abstract
Individuals with psychosis have been reported to show either reduced or augmented brain responses under seemingly similar conditions. It is likely that inconsistent baseline-adjustment methods are partly responsible for this discrepancy. Using steady-state stimuli during a pro/antisaccade task, this study addressed the relationship between nonspecific and stimulus-related neural activity, and how these activities are modulated as a function of cognitive demands. In 98 psychosis probands (schizophrenia, schizoaffective disorder, and bipolar disorder with psychosis), neural activity was assessed during baseline and during a 5-s period in preparation for the pro/antisaccade task. To maximize the ability to identify meaningful differences between psychosis subtypes, analyses were conducted as a function of subgrouping probands by standard clinical diagnoses and neurobiological features. These psychosis "biotypes" were created using brain-based biomarkers, independent of symptomatology (Clementz et al., ). Psychosis probands as a whole showed poor antisaccade performance and diminished baseline oscillatory phase synchrony. Psychosis biotypes differed on both behavioral and brain measures, in ways predicted from Clementz et al. (). Two biotype groups showed similarly deficient behavior and baseline synchrony, despite diametrically opposed neural activity amplitudes. Another biotype subgroup was more similar to healthy individuals on behavioral and brain measures, despite the presence of psychosis. This study provides evidence that (a) consideration of baseline levels of activation and synchrony will be essential for a comprehensive understanding of neural response differences in psychosis, and (b) distinct psychosis subgroups exhibit reduced versus augmented intrinsic neural activity, despite cognitive performance and clinical similarities.
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Affiliation(s)
- Matthew E Hudgens-Haney
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Lauren E Ethridge
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.,Department of Psychology, University of Oklahoma, Norman, Oklahoma
| | - Justin B Knight
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Jennifer E McDowell
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Sarah K Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois
| | - Godfrey D Pearlson
- Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Connecticut.,Institute of Living, Hartford Hospital, Hartford, Connecticut
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern, Dallas, Texas
| | | | - John A Sweeney
- Department of Psychiatry, University of Texas Southwestern, Dallas, Texas.,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio
| | - Brett A Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, Georgia
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96
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Du Y, Pearlson GD, Lin D, Sui J, Chen J, Salman M, Tamminga CA, Ivleva EI, Sweeney JA, Keshavan MS, Clementz BA, Bustillo J, Calhoun VD. Identifying dynamic functional connectivity biomarkers using GIG-ICA: Application to schizophrenia, schizoaffective disorder, and psychotic bipolar disorder. Hum Brain Mapp 2017; 38:2683-2708. [PMID: 28294459 DOI: 10.1002/hbm.23553] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Revised: 02/15/2017] [Accepted: 02/17/2017] [Indexed: 01/05/2023] Open
Abstract
Functional magnetic resonance imaging (fMRI) studies have shown altered brain dynamic functional connectivity (DFC) in mental disorders. Here, we aim to explore DFC across a spectrum of symptomatically-related disorders including bipolar disorder with psychosis (BPP), schizoaffective disorder (SAD), and schizophrenia (SZ). We introduce a group information guided independent component analysis procedure to estimate both group-level and subject-specific connectivity states from DFC. Using resting-state fMRI data of 238 healthy controls (HCs), 140 BPP, 132 SAD, and 113 SZ patients, we identified measures differentiating groups from the whole-brain DFC and traditional static functional connectivity (SFC), separately. Results show that DFC provided more informative measures than SFC. Diagnosis-related connectivity states were evident using DFC analysis. For the dominant state consistent across groups, we found 22 instances of hypoconnectivity (with decreasing trends from HC to BPP to SAD to SZ) mainly involving post-central, frontal, and cerebellar cortices as well as 34 examples of hyperconnectivity (with increasing trends HC through SZ) primarily involving thalamus and temporal cortices. Hypoconnectivities/hyperconnectivities also showed negative/positive correlations, respectively, with clinical symptom scores. Specifically, hypoconnectivities linking postcentral and frontal gyri were significantly negatively correlated with the PANSS positive/negative scores. For frontal connectivities, BPP resembled HC while SAD and SZ were more similar. Three connectivities involving the left cerebellar crus differentiated SZ from other groups and one connection linking frontal and fusiform cortices showed a SAD-unique change. In summary, our method is promising for assessing DFC and may yield imaging biomarkers for quantifying the dimension of psychosis. Hum Brain Mapp 38:2683-2708, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Yuhui Du
- The Mind Research Network & LBERI, Albuquerque, New Mexico.,School of Computer & Information Technology, Shanxi University, Taiyuan, China
| | - Godfrey D Pearlson
- Departments of Psychiatry, Yale University, New Haven, Connecticut.,Departments of Neurobiology, Yale University, New Haven, Connecticut.,Olin Neuropsychiatry Research Center, Institute of Living, Hartford, Connecticut
| | - Dongdong Lin
- The Mind Research Network & LBERI, Albuquerque, New Mexico
| | - Jing Sui
- The Mind Research Network & LBERI, Albuquerque, New Mexico.,Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Jiayu Chen
- The Mind Research Network & LBERI, Albuquerque, New Mexico
| | - Mustafa Salman
- The Mind Research Network & LBERI, Albuquerque, New Mexico.,Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, Texas
| | - Elena I Ivleva
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, Texas
| | - John A Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, Texas.,University of Cincinnati, Cincinnati, Ohio
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Brett A Clementz
- Departments of Psychology and Neuroscience, BioImaging Research Center, University of Georgia, Athens, Georgia
| | - Juan Bustillo
- Department of Psychiatry, University of New Mexico, Albuquerque, New Mexico
| | - Vince D Calhoun
- The Mind Research Network & LBERI, Albuquerque, New Mexico.,Departments of Psychiatry, Yale University, New Haven, Connecticut.,Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico.,Department of Psychiatry, University of New Mexico, Albuquerque, New Mexico
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97
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Reilly JL, Hill SK, Gold JM, Keefe RSE, Clementz BA, Gershon E, Keshavan MS, Pearlson G, Tamminga CA, Sweeney JA. Impaired Context Processing is Attributable to Global Neuropsychological Impairment in Schizophrenia and Psychotic Bipolar Disorder. Schizophr Bull 2017; 43:397-406. [PMID: 27306316 PMCID: PMC5605273 DOI: 10.1093/schbul/sbw081] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND Context processing may reflect a specific cognitive impairment in schizophrenia. Whether impaired context processing is observed across psychotic disorders or among relatives of affected individuals, and whether it is a deficit that is independent from the generalized neuropsychological deficits seen in psychotic disorders, are less established. METHODS Schizophrenia, schizoaffective, and psychotic bipolar probands (n = 660), their first-degree relatives (n = 741), and healthy individuals (n = 308) studied by the Bipolar-Schizophrenia Network on Intermediate Phenotypes consortium performed an expectancy task requiring use of contextual information to overcome a pre-potent response. Sensitivity for target detection and false alarm rates on trials requiring inhibition or goal maintenance were measured. RESULTS Proband groups and relatives with psychosis spectrum personality traits demonstrated reduced target sensitivity and elevated false alarm rates. False alarm rate was higher under inhibition vs goal maintenance conditions although this difference was attenuated in schizophrenia and schizoaffective proband groups. After accounting for global neuropsychological impairment, as reflected by the composite score from the Brief Assessment of Cognition in Schizophrenia neuropsychological battery, deficits in schizophrenia and bipolar proband groups were no longer significant. Performance measures were moderately familial. CONCLUSION Reduced target detection, but not a specific deficit in context processing, is observed across psychotic disorders. Impairments in both goal maintenance and response inhibition appear to contribute comparably to deficits in schizophrenia and schizoaffective disorder, whereas greater difficulty with response inhibition underlies deficits in bipolar disorder. Yet, these deficits are not independent from the generalized neurocognitive impairment observed in schizophrenia and psychotic bipolar disorder.
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Affiliation(s)
- James L Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - S Kristian Hill
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA
| | - James M Gold
- Department of Psychiatry, University of Maryland School of Medicine, Maryland Psychiatric Research Center, Baltimore, MD, USA
| | | | - Brett A Clementz
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Elliot Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | | | - Godfrey Pearlson
- Department of Psychiatry, Institute of Living/Hartford Hospital, Yale School of Medicine, New Haven, CT, USA
| | - Carol A Tamminga
- Department of Psychiatry, UT Southwestern Medical School, Dallas, TX, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
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98
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Abstract
First, we describe the hallmark contributions of Irv Gottesman's pioneering scholarship for schizophrenia research including concepts of polygenicity, gene × environment interactions, epigenetics and the endophenotype concept. Gottesman and colleagues' twin studies showed that genes, not social factors, mediate schizophrenia risk. He then showed that schizophrenia is highly polygenic. Next, he introduced the concept of epigenetics into schizophrenia research. Gottesman then introduced the quantitative endophenotype concept. Endophenotypes are laboratory-based measures that show deficits in schizophrenia patients and lesser deficits in their first degree "unaffected" relatives and are viewed as being more proximal to genes and having a simpler genetic architecture than are "fuzzy" qualitative diagnostic disorders. Endophenotypes offer an exciting path to gene discovery, neural circuits, genetic architecture and new treatment pathways of schizophrenia and related psychotic disorders. Second, we were asked to discuss 2 of many endophenotype Consortia and related studies, in order to illustrate the impact of Gottesman's work. We describe the Consortium on the Genetics of Schizophrenia (COGS) exploring neurocognitive and neurophysiological endophenotypes in family and case-control studies. Association, linkage, sequencing and epigenetic studies are described. The Bipolar and Schizophrenia Network for Intermediate Phenotypes (BSNIP) uses an array of endophenotypes including brain imaging in studies across the psychosis dimension, allowing for dimensional analyses. BSNIP results have led to the concept of biotypes, advancing the field. Irv Gottesman was imaginatively prescient in generating novel insights and predicting many major issues which challenge schizophrenia researchers who still use his concepts to guide current research approaches.
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Affiliation(s)
- David L. Braff
- Department of Psychiatry, University of California, San Diego, La Jolla, CA;,*To whom correspondence should be addressed; Department of Psychiatry, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, US; tel: 619-543-5570, fax: 619-543-2493, e-mail:
| | - Carol A. Tamminga
- Department of Psychiatry, UT Southwestern Medical School, Dallas, TX
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99
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100
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Meda SA, Clementz BA, Sweeney JA, Keshavan MS, Tamminga CA, Ivleva EI, Pearlson GD. Examining Functional Resting-State Connectivity in Psychosis and Its Subgroups in the Bipolar-Schizophrenia Network on Intermediate Phenotypes Cohort. Biol Psychiatry Cogn Neurosci Neuroimaging 2016; 1:488-497. [PMID: 29653095 DOI: 10.1016/j.bpsc.2016.07.001] [Citation(s) in RCA: 16] [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] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Revised: 07/06/2016] [Accepted: 07/07/2016] [Indexed: 01/27/2023]
Abstract
BACKGROUND We sought to examine resting-state functional magnetic resonance imaging connectivity measures in psychotic patients to both identify cumulative differences across psychosis and subsequently probe deficits across conventional DSM-IV diagnoses and a newly identified classification using cognitive/neurophysiological data (Biotypes). METHODS We assessed 1125 subjects, including healthy control subjects, probands (schizophrenia, schizoaffective disorder, psychotic bipolar disorder), and relatives of probands. Probands and relatives were also segregated into Biotype groups (B1-B3, B1R-B3R using a method reported previously). Empirical resting-state functional magnetic resonance imaging networks were derived using independent component analysis. Global psychosis-related abnormalities were first identified. Subsequent post hoc t tests were performed across various diagnostic categories. Follow-up linear mixed model compared significance of within-proband differences across categories. Secondary analyses assessed correlations with biological profile scores. RESULTS Voxelwise tests between proband and control subjects revealed nine abnormal networks. Post hoc analysis revealed lower connectivity in most networks for all proband subgroups (DSM and Biotypes). Within-proband effect sizes of discrimination were marginally better for Biotypes over DSM. Reduced connectivity was noted in relatives of patients with schizophrenia in two networks and relatives of patients with psychotic bipolar disorder in one network. Biotype relatives showed similar deficits in one network. Connectivity deficits across four networks were significantly associated with cognitive control profile scores. CONCLUSIONS Overall, we found psychosis-related connectivity deficits in nine large-scale networks. Deficits in these networks tracked more closely with cognitive control factors, suggesting potential implications for disease profiling and therapeutic intervention. Biotypes performed marginally better in terms of separating out psychosis subgroups compared with conventional DSM or psychiatric diagnoses.
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Affiliation(s)
- Shashwath A Meda
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, Connecticut.
| | - Brett A Clementz
- Department of Psychology, University of Georgia, Athens, Georgia
| | - John A Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School, Boston, Massachusetts
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Elena I Ivleva
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, Connecticut; Department of Psychiatry, Yale University, New Haven, Connecticut; Department of Neuroscience, Yale University, New Haven, Connecticut
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