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Ritish D, Reddy PV, Sreeraj VS, Chhabra H, Kumar V, Venkatasubramanian G, Muralidharan K. Oculomotor Abnormalities and Aberrant Neuro-Developmental Markers: Composite Endophenotype for Bipolar I Disorder: Anomalies Oculomotrices et Marqueurs Neuro-Développementaux Aberrants : Endophénotype Composite du Trouble Bipolaire I. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2024; 69:590-597. [PMID: 38651336 DOI: 10.1177/07067437241248048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
BACKGROUND Neurological soft signs (NSSs), minor physical anomalies (MPAs), and oculomotor abnormalities were plausible biomarkers in bipolar disorder (BD). However, specific impairments in these markers in patients after the first episode mania (FEM), in comparison with first-degree relatives (high risk [HR]) of BD and healthy subjects (health control [HC]) are sparse. AIM OF THE STUDY This study aimed at examining NSSs, MPAs, and oculomotor abnormalities in remitted adult subjects following FEM and HR subjects in comparison with matched healthy controls. Investigated when taken together, could serve as composite endophenotype for BD. METHODS NSSs, MPAs, and oculomotor abnormalities were evaluated in FEM (n = 31), HR (n = 31), and HC (n = 30) subjects, matched for age (years) (p = 0.44) and sex (p = 0.70) using neurological evaluation scale, Waldrop's physical anomaly scale and eye tracking (SPEM) and antisaccades (AS) paradigms, respectively. RESULTS Significant differences were found between groups on NSSs, MPAs, and oculomotor parameters. Abnormalities are higher in FEM subjects compared to HR and HC subjects. Using linear discriminant analysis, all 3 markers combined accurately classified 72% of the original 82 subjects (79·2% BD, 56·70% HR, and 82·1% HC subjects). CONCLUSIONS AS and SPEM could enhance the utility of NSSs, and MPAs as markers for BD. The presence of these abnormalities in FEM suggests their role in understanding the etiopathogenesis of BD in patients who are in the early course of illness. These have the potential to be composite endophenotypes and have further utility in early identification in BD.
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Affiliation(s)
- Daniel Ritish
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Preethi V Reddy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Vanteemar S Sreeraj
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Harleen Chhabra
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Vijay Kumar
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | - Kesavan Muralidharan
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
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Pentz AB, O'Connel KS, van Jole O, Timpe CMF, Slapø NB, Melle I, Lagerberg TV, Steen NE, Westlye LT, Haukvik UK, Moberget T, Jönsson EG, Andreassen OA, Elvsåshagen T. Mismatch negativity and polygenic risk scores for schizophrenia and bipolar disorder. Schizophr Res 2024; 264:314-326. [PMID: 38215567 DOI: 10.1016/j.schres.2024.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 12/29/2023] [Accepted: 01/01/2024] [Indexed: 01/14/2024]
Abstract
OBJECTIVE Auditory mismatch negativity (MMN) impairment is a candidate endophenotype in psychotic disorders, yet the genetic underpinnings remain to be clarified. Here, we examined the relationships between auditory MMN and polygenic risk scores (PRS) for individuals with psychotic disorders, including schizophrenia spectrum disorders (SSD) and bipolar disorder (BD) and in healthy controls (HC). METHODS Genotyped and clinically well-characterized individuals with psychotic disorders (n = 102), including SSD (n = 43) and BD (n = 59), and HC (n = 397) underwent a roving MMN paradigm. In addition MMN, we measured the memory traces of the repetition positivity (RP) and the deviant negativity (DN), which is believed to reflect prediction encoding and prediction error signals, respectively. SCZ and BD PRS were computed using summary statistics from the latest genome-wide association studies. The relationships between the MMN, RP, and DN and the PRSs were assessed with linear regressions. RESULTS We found no significant association between the SCZ or BD PRS and grand average MMN in the psychotic disorders group or in the HCs group (all p > 0.05). SCZ PRS and BD PRS were negatively associated with RP in the psychotic disorders group (β = -0.46, t = -2.86, p = 0.005 and β = -0.29, t = -0.21, p = 0.034, respectively). No significant associations were found between DN and PRS. CONCLUSION These findings suggest that genetic variants associated with SCZ and BD may be associated with MMN subcomponents linked to predictive coding among patients with psychotic disorders. Larger studies are needed to confirm these findings and further elucidate the genetic underpinnings of MMN impairment in psychotic disorders.
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Affiliation(s)
- Atle Bråthen Pentz
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway.
| | - Kevin Sean O'Connel
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Oda van Jole
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Clara Maria Fides Timpe
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Nora Berz Slapø
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Ingrid Melle
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Trine Vik Lagerberg
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Nils Eiel Steen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Unn K Haukvik
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Adult Psychiatry, Institute of Clinical Medicine, University of Oslo, Norway; Department of Forensic Psychiatry Research, Oslo University Hospital, Norway
| | - Torgeir Moberget
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Behavioral Sciences, Faculty of Health - Sciences, Oslo Metropolitan University - OsloMet, Oslo, Norway
| | - Erik G Jönsson
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Sciences, Stockholm Region, Stockholm, Sweden
| | - Ole A Andreassen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway
| | - Torbjørn Elvsåshagen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Neurology, Oslo University Hospital, Oslo, Norway.
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Fabres RB, Cardoso DS, Aragón BA, Arruda BP, Martins PP, Ikebara JM, Drobyshevsky A, Kihara AH, de Fraga LS, Netto CA, Takada SH. Consequences of oxygen deprivation on myelination and sex-dependent alterations. Mol Cell Neurosci 2023; 126:103864. [PMID: 37268283 DOI: 10.1016/j.mcn.2023.103864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 05/07/2023] [Accepted: 05/25/2023] [Indexed: 06/04/2023] Open
Abstract
Oxygen deprivation is one of the main causes of morbidity and mortality in newborns, occurring with a higher prevalence in preterm infants, reaching 20 % to 50 % mortality in newborns in the perinatal period. When they survive, 25 % exhibit neuropsychological pathologies, such as learning difficulties, epilepsy, and cerebral palsy. White matter injury is one of the main features found in oxygen deprivation injury, which can lead to long-term functional impairments, including cognitive delay and motor deficits. The myelin sheath accounts for much of the white matter in the brain by surrounding axons and enabling the efficient conduction of action potentials. Mature oligodendrocytes, which synthesize and maintain myelination, also comprise a significant proportion of the brain's white matter. In recent years, oligodendrocytes and the myelination process have become potential therapeutic targets to minimize the effects of oxygen deprivation on the central nervous system. Moreover, evidence indicate that neuroinflammation and apoptotic pathways activated during oxygen deprivation may be influenced by sexual dimorphism. To summarize the most recent research about the impact of sexual dimorphism on the neuroinflammatory state and white matter injury after oxygen deprivation, this review presents an overview of the oligodendrocyte lineage development and myelination, the impact of oxygen deprivation and neuroinflammation on oligodendrocytes in neurodevelopmental disorders, and recent reports about sexual dimorphism regarding the neuroinflammation and white matter injury after neonatal oxygen deprivation.
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Affiliation(s)
- Rafael Bandeira Fabres
- Departamento de Bioquímica, Universidade Federal do Rio Grande do Sul (UFRGS), Ramiro Barcelos, 2600, Porto Alegre 90035-003, Brazil
| | - Débora Sterzeck Cardoso
- Neurogenetics Laboratory, Universidade Federal do ABC, Alameda da Universidade, s/n, São Bernardo do Campo 09606-045, Brazil
| | | | - Bruna Petrucelli Arruda
- Neurogenetics Laboratory, Universidade Federal do ABC, Alameda da Universidade, s/n, São Bernardo do Campo 09606-045, Brazil
| | - Pamela Pinheiro Martins
- Neurogenetics Laboratory, Universidade Federal do ABC, Alameda da Universidade, s/n, São Bernardo do Campo 09606-045, Brazil
| | - Juliane Midori Ikebara
- Neurogenetics Laboratory, Universidade Federal do ABC, Alameda da Universidade, s/n, São Bernardo do Campo 09606-045, Brazil
| | | | - Alexandre Hiroaki Kihara
- Neurogenetics Laboratory, Universidade Federal do ABC, Alameda da Universidade, s/n, São Bernardo do Campo 09606-045, Brazil
| | - Luciano Stürmer de Fraga
- Departamento de Fisiologia, Universidade Federal do Rio Grande do Sul (UFRGS), Sarmento Leite, 500, Porto Alegre 90050-170, Brazil
| | - Carlos Alexandre Netto
- Departamento de Bioquímica, Universidade Federal do Rio Grande do Sul (UFRGS), Ramiro Barcelos, 2600, Porto Alegre 90035-003, Brazil
| | - Silvia Honda Takada
- Neurogenetics Laboratory, Universidade Federal do ABC, Alameda da Universidade, s/n, São Bernardo do Campo 09606-045, Brazil.
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Koen JD, Lewis L, Rugg MD, Clementz BA, Keshavan MS, Pearlson GD, Sweeney JA, Tamminga CA, Ivleva EI. Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP). Sci Rep 2023; 13:12980. [PMID: 37563219 PMCID: PMC10415369 DOI: 10.1038/s41598-023-38101-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 07/03/2023] [Indexed: 08/12/2023] Open
Abstract
Traditional diagnostic formulations of psychotic disorders have low correspondence with underlying disease neurobiology. This has led to a growing interest in using brain-based biomarkers to capture biologically-informed psychosis constructs. Building upon our prior work on the B-SNIP Psychosis Biotypes, we aimed to examine whether structural MRI (an independent biomarker not used in the Biotype development) can effectively classify the Biotypes. Whole brain voxel-wise grey matter density (GMD) maps from T1-weighted images were used to train and test (using repeated randomized train/test splits) binary L2-penalized logistic regression models to discriminate psychosis cases (n = 557) from healthy controls (CON, n = 251). A total of six models were evaluated across two psychosis categorization schemes: (i) three Biotypes (B1, B2, B3) and (ii) three DSM diagnoses (schizophrenia (SZ), schizoaffective (SAD) and bipolar (BD) disorders). Above-chance classification accuracies were observed in all Biotype (B1 = 0.70, B2 = 0.65, and B3 = 0.56) and diagnosis (SZ = 0.64, SAD = 0.64, and BD = 0.59) models. However, the only model that showed evidence of specificity was B1, i.e., the model was able to discriminate B1 vs. CON and did not misclassify other psychosis cases (B2 or B3) as B1 at rates above nominal chance. The GMD-based classifier evidence for B1 showed a negative association with an estimate of premorbid general intellectual ability, regardless of group membership, i.e. psychosis or CON. Our findings indicate that, complimentary to clinical diagnoses, the B-SNIP Psychosis Biotypes may offer a promising approach to capture specific aspects of psychosis neurobiology.
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Affiliation(s)
- Joshua D Koen
- Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA.
- Department of Psychology, University of Notre Dame, Notre Dame, IN, 46556, USA.
| | - Leslie Lewis
- Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA
| | - Michael D Rugg
- Center for Vital Longevity, University of Texas at Dallas, Dallas, TX, USA
- UT Southwestern Medical Center, Dallas, TX, USA
- University of East Anglia, Norwich, UK
| | | | | | - Godfrey D Pearlson
- Institute of Living, Hartford Hospital, Hartford, CT, USA
- Yale School of Medicine, New Haven, CT, USA
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Parker DA, Cubells JF, Imes SL, Ruban GA, Henshey BT, Massa NM, Walker EF, Duncan EJ, Ousley OY. Deep psychophysiological phenotyping of adolescents and adults with 22q11.2 deletion syndrome: a multilevel approach to defining core disease processes. BMC Psychiatry 2023; 23:425. [PMID: 37312091 PMCID: PMC10262114 DOI: 10.1186/s12888-023-04888-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 05/18/2023] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND 22q11.2 deletion syndrome (22q11.2DS) is the most common chromosomal interstitial-deletion disorder, occurring in approximately 1 in 2000 to 6000 live births. Affected individuals exhibit variable clinical phenotypes that can include velopharyngeal anomalies, heart defects, T-cell-related immune deficits, dysmorphic facial features, neurodevelopmental disorders, including autism, early cognitive decline, schizophrenia, and other psychiatric disorders. Developing comprehensive treatments for 22q11.2DS requires an understanding of both the psychophysiological and neural mechanisms driving clinical outcomes. Our project probes the core psychophysiological abnormalities of 22q11.2DS in parallel with molecular studies of stem cell-derived neurons to unravel the basic mechanisms and pathophysiology of 22q11.2-related psychiatric disorders, with a primary focus on psychotic disorders. Our study is guided by the central hypothesis that abnormal neural processing associates with psychophysiological processing and underlies clinical diagnosis and symptomatology. Here, we present the scientific background and justification for our study, sharing details of our study design and human data collection protocol. METHODS Our study is recruiting individuals with 22q11.2DS and healthy comparison subjects between the ages of 16 and 60 years. We are employing an extensive psychophysiological assessment battery (e.g., EEG, evoked potential measures, and acoustic startle) to assess fundamental sensory detection, attention, and reactivity. To complement these unbiased measures of cognitive processing, we will develop stem-cell derived neurons and examine neuronal phenotypes relevant to neurotransmission. Clinical characterization of our 22q11.2DS and control participants relies on diagnostic and research domain criteria assessments, including standard Axis-I diagnostic and neurocognitive measures, following from the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) and the North American Prodrome Longitudinal Study (NAPLS) batteries. We are also collecting measures of autism spectrum (ASD) and attention deficit/hyperactivity disorder (ADHD)-related symptoms. DISCUSSION Studying 22q11.2DS in adolescence and adulthood via deep phenotyping across multiple clinical and biological domains may significantly increase our knowledge of its core disease processes. Our manuscript describes our ongoing study's protocol in detail. These paradigms could be adapted by clinical researchers studying 22q11.2DS, other CNV/single gene disorders, or idiopathic psychiatric syndromes, as well as by basic researchers who plan to incorporate biobehavioral outcome measures into their studies of 22q11.2DS.
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Affiliation(s)
- David A Parker
- Department of Human Genetics, Emory University School of Medicine, Whitehead Biomedical Research Building 615 Michael Street Suite 301, Atlanta, GA, 30322, USA.
| | - Joseph F Cubells
- Department of Human Genetics; Emory Autism Center; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 1551 Shoup Court, Decatur, GA, 30033, USA
| | - Sid L Imes
- Department of Human Genetics, Emory University School of Medicine, Whitehead Biomedical Research Building 615 Michael Street Suite 301, Atlanta, GA, 30322, USA
| | - Gabrielle A Ruban
- Department of Human Genetics, Emory University School of Medicine, Whitehead Biomedical Research Building 615 Michael Street Suite 301, Atlanta, GA, 30322, USA
| | - Brett T Henshey
- Emory University, Whitehead Biomedical Research Building 615 Michael Street Suite 301, Atlanta, GA, 30322, USA
| | - Nicholas M Massa
- Atlanta Veterans Administration Health Care System, 1670 Clairmont Road, Decatur, GA, 30033, USA
| | - Elaine F Walker
- Department of Psychology, Emory University, Psychology and Interdisciplinary Sciences Building Suite 487, 36 Eagle Row, Atlanta, GA, 30322, USA
| | - Erica J Duncan
- Atlanta Veterans Administration Health Care System, 1670 Clairmont Road, Decatur, GA, 30033, USA
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Brain Health Center, 12 Executive Park Dr, Atlanta, GA, 30329, USA
| | - Opal Y Ousley
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 1551 Shoup Court, Decatur, GA, USA
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Sitarz R, Juchnowicz D, Karakuła K, Forma A, Baj J, Rog J, Karpiński R, Machrowska A, Karakuła-Juchnowicz H. Niacin Skin Flush Backs-From the Roots of the Test to Nowadays Hope. J Clin Med 2023; 12:jcm12051879. [PMID: 36902666 PMCID: PMC10003235 DOI: 10.3390/jcm12051879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 02/22/2023] [Accepted: 02/23/2023] [Indexed: 03/08/2023] Open
Abstract
The niacin skin flush test (NSFT) is a simple method used to assess the content of fatty acids in cell membranes and is a possible indicator of factors hidden behind various outcomes in patients. The purpose of this paper is to determine the potential usefulness of NSFT in mental disorder diagnostics along with the determination of factors that may affect its results. The authors reviewed articles from 1977 onwards, focusing on the history, variety of methodologies, influencing factors, and proposed mechanisms underlying its performance. Research indicated that NSFT could be applicable in early intervention, staging in psychiatry, and the search for new therapeutic methods and drugs based on the mechanisms of NSFT action. The NSFT can contribute to defining an individualized diet for patients and prevent the development of damaging disease effects at an early stage. There is promising evidence for supplementation with polyunsaturated fatty acids, which have a beneficial influence on the metabolic profile and are effective even in the subclinical phase of the disease. NSFT can contribute to the new classification of diseases and a better understanding of certain mental disorders' pathophysiology. However, there is a need to establish a validated method for assessing the NSFT results.
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Affiliation(s)
- Ryszard Sitarz
- 1st Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Gluska Street 1, 20-439 Lublin, Poland
- Correspondence:
| | - Dariusz Juchnowicz
- Department of Psychiatry and Psychiatric Nursing, Medical University of Lublin, 20-059 Lublin, Poland
| | - Kaja Karakuła
- 1st Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Gluska Street 1, 20-439 Lublin, Poland
- Department of Forensic Medicine, Medical University of Lublin, 20-059 Lublin, Poland
| | - Alicja Forma
- 1st Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Gluska Street 1, 20-439 Lublin, Poland
- Department of Forensic Medicine, Medical University of Lublin, 20-059 Lublin, Poland
| | - Jacek Baj
- Department of Anatomy, Medical University of Lublin, 20-059 Lublin, Poland
| | - Joanna Rog
- Department of Dietetics, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), 02-776 Warsaw, Poland
| | - Robert Karpiński
- 1st Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Gluska Street 1, 20-439 Lublin, Poland
- Department of Machine Design and Mechatronics, Faculty of Mechanical Engineering, Lublin University of Technology, 20-618 Lublin, Poland
| | - Anna Machrowska
- Department of Machine Design and Mechatronics, Faculty of Mechanical Engineering, Lublin University of Technology, 20-618 Lublin, Poland
| | - Hanna Karakuła-Juchnowicz
- 1st Department of Psychiatry, Psychotherapy and Early Intervention, Medical University of Lublin, Gluska Street 1, 20-439 Lublin, Poland
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Comprehensive Behavioral Analysis of Opsin 3 (Encephalopsin)-Deficient Mice Identifies Role in Modulation of Acoustic Startle Reflex. eNeuro 2022; 9:ENEURO.0202-22.2022. [PMID: 36041828 PMCID: PMC9532019 DOI: 10.1523/eneuro.0202-22.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/13/2022] [Accepted: 06/23/2022] [Indexed: 12/15/2022] Open
Abstract
Opsin-3 (Opn3, encephalopsin) was the first nonvisual opsin gene discovered in mammals. Since then, several Opn3 functions have been described, and in two cases (adipose tissue, smooth muscle) light sensing activity is implicated. In addition to peripheral tissues, Opn3 is robustly expressed within the central nervous system, for which it derives its name. Despite this expression, no studies have investigated developmental or adult CNS consequences of Opn3 loss-of-function. Here, the behavioral consequences of mice deficient in Opn3 were investigated. Opn3-deficient mice perform comparably to wild-type mice in measures of motor coordination, socialization, anxiety-like behavior, and various aspects of learning and memory. However, Opn3-deficient mice have an attenuated acoustic startle reflex (ASR) relative to littermates. This deficit is not because of changes in hearing sensitivity, although Opn3 was shown to be expressed in auditory and vestibular structures, including cochlear outer hair cells. Interestingly, the ASR was not acutely light-dependent and did not vary between daytime and nighttime trials, despite known functions of Opn3 in photoreception and circadian gene amplitude. Together, these results demonstrate the first role of Opn3 on behavior, although the role of this opsin in the CNS remains largely elusive.
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Raggi A, Lanza G, Ferri R. Auditory mismatch negativity in bipolar disorder: a focused review. Rev Neurosci 2022; 33:17-30. [PMID: 33837681 DOI: 10.1515/revneuro-2021-0010] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 03/22/2021] [Indexed: 02/07/2023]
Abstract
The auditory mismatch negativity, a component of the event-related potential elicited by an unexpected stimulus in a sequence of acoustic stimuli, provides an objective measure of the accuracy of the echoic information processing of the human brain in vivo. Auditory mismatch negativity is also a useful probe of cortical glutamatergic N-methyl-d-aspartate receptor activity and disturbance. Notably, auditory mismatch negativity is consistently impaired in schizophrenia. Because of the wide spectrum extending from bipolar affective illness and schizoaffective psychosis to typical schizophrenia, we examined the literature on auditory mismatch negativity in bipolar disorder with the aim to find any neurophysiological dysfunction concerning pre-attentive information processing shared by these clinical conditions. This focused review includes 26 original articles published in peer-reviewed journals and indexed in the National Institutes of Health National Library of Medicine (PubMed) search system. Overall, evidence is consistent with the finding that auditory mismatch negativity is impaired in bipolar disorder with psychotic features, even though to a lesser extent than in schizophrenia. It must be acknowledged that, in a few twin and family studies, mismatch negativity abnormalities were not specifically associated with bipolar disorder. In conclusion, auditory mismatch negativity research supports the involvement of the N-methyl-d-aspartate system in the pathophysiology of bipolar disorder, as previously assessed for schizophrenia, thus creating an intriguing trait d'union between these two mental illnesses and stimulating the development of novel therapeutic agents. With additional replication and validation, auditory mismatch negativity may be further considered as a correlate of a common psychopathology of schizophrenia and bipolar spectrum illnesses.
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Affiliation(s)
- Alberto Raggi
- Unit of Neurology, G.B. Morgagni - L. Pierantoni Hospital, Via Carlo Forlanini 34, 47121 Forlì, Italy
| | - Giuseppe Lanza
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Via Santa Sofia 78, 95123 Catania, Italy
- Department of Neurology IC, Oasi Research Institute-IRCCS, Via Conte Ruggero 73, 94018 Troina, Italy
| | - Raffaele Ferri
- Department of Neurology IC, Oasi Research Institute-IRCCS, Via Conte Ruggero 73, 94018 Troina, Italy
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Brown JA, Jackson BS, Burton CR, Hoy JE, Sweeney JA, Pearlson GD, Keshavan MS, Keedy SS, Gershon ES, Tamminga CA, Clementz BA, McDowell JE. Reduced white matter microstructure in bipolar disorder with and without psychosis. Bipolar Disord 2021; 23:801-809. [PMID: 33550654 PMCID: PMC8514149 DOI: 10.1111/bdi.13055] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
OBJECTIVES Affective and psychotic features overlap considerably in bipolar I disorder, complicating efforts to determine its etiology and develop targeted treatments. In order to clarify whether mechanisms are similar or divergent for bipolar disorder with psychosis (BDP) and bipolar disorder with no psychosis (BDNP), neurobiological profiles for both the groups must first be established. This study examines white matter structure in the BDP and BDNP groups, in an effort to identify portions of white matter that may differ between the bipolar and healthy groups or between the bipolar subgroups themselves. METHODS Diffusion-weighted imaging data were acquired from participants with BDP (n = 45), BDNP (n = 40), and healthy comparisons (HC) (n = 66). Fractional anisotropy (FA), radial diffusivity (RD), and spin distribution function (SDF) values indexing white matter diffusivity or spin density were calculated and compared between the groups. RESULTS In comparisons between both the bipolar groups and HC, FA (FDR < 0.00001) and RD (FDR = 0.0037) differed minimally, in localized portions of the left cingulum and corpus callosum, while reductions in SDF (FDR = 0.0002) were more widespread. The bipolar subgroups did not differ from each other on FA, RD, or SDF metrics. CONCLUSIONS Together, these results demonstrate a novel profile of white matter differences in bipolar disorder and suggest that this white matter pathology is associated with the affective disturbance common to those with bipolar disorder rather than the psychotic features unique to some. The white matter alterations identified in this study may provide substrates for future studies examining specific mechanisms that target affective domains of illness.
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Affiliation(s)
- Jennifer A Brown
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
| | - Brooke S Jackson
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
| | - Courtney R Burton
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
| | - Jennifer E Hoy
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Godfrey D Pearlson
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.,Institute of Living/Hartford Hospital, Hartford, CT, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA, USA
| | - Sarah S Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, USA
| | - Brett A Clementz
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
| | - Jennifer E McDowell
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA, USA
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Hills PJ, Vasilev MR, Ford P, Snell L, Whitworth E, Parsons T, Morisson R, Silveira A, Angele B. Sensory gating is related to positive and disorganised schizotypy in contrast to smooth pursuit eye movements and latent inhibition. Neuropsychologia 2021; 161:107989. [PMID: 34419489 DOI: 10.1016/j.neuropsychologia.2021.107989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/30/2021] [Accepted: 08/05/2021] [Indexed: 10/20/2022]
Abstract
Since the characteristics and symptoms of both schizophrenia and schizotypy are manifested heterogeneously, it is possible that different endophenotypes and neurophysiological measures (sensory gating and smooth pursuit eye movement errors) represent different clusters of symptoms. Participants (N = 205) underwent a standard conditioned-pairing paradigm to establish their sensory gating ratio, a smooth-pursuit eye-movement task, a latent inhibition task, and completed the Schizotypal Personality Questionnaire. A Multidimensional Scaling analysis revealed that sensory gating was related to positive and disorganised dimensions of schizotypy. Latent inhibition and prepulse inhibition were not related to any dimension of schizotypy. Smooth pursuit eye movement error was unrelated to sensory gating and latent inhibition, but was related to negative dimensions of schizotypy. Our findings suggest that the symptom clusters associated with two main endophenotypes are largely independent. To fully understand symptomology and outcomes of schizotypal traits, the different subtypes of schizotypy (and potentially, schizophrenia) ought to be considered separately rather than together.
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11
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Parker DA, Trotti RL, McDowell JE, Keedy SK, Hill SK, Gershon ES, Ivleva EI, Pearlson GD, Keshavan MS, Tamminga CA, Clementz BA. Auditory Oddball Responses Across the Schizophrenia-Bipolar Spectrum and Their Relationship to Cognitive and Clinical Features. Am J Psychiatry 2021; 178:952-964. [PMID: 34407624 DOI: 10.1176/appi.ajp.2021.20071043] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Neural activations during auditory oddball tasks may be endophenotypes for psychosis and bipolar disorder. The authors investigated oddball neural deviations that discriminate multiple diagnostic groups across the schizophrenia-bipolar spectrum (schizophrenia, schizoaffective disorder, psychotic bipolar disorder, and nonpsychotic bipolar disorder) and clarified their relationship to clinical and cognitive features. METHODS Auditory oddball responses to standard and target tones from 64 sensor EEG recordings were compared across patients with psychosis (total N=597; schizophrenia, N=225; schizoaffective disorder, N=201; bipolar disorder with psychosis, N=171), patients with bipolar disorder without psychosis (N=66), and healthy comparison subjects (N=415) from the second iteration of the Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP2) study. EEG activity was analyzed in voltage and in the time-frequency domain (low, beta, and gamma bands). Event-related potentials (ERPs) were compared with those from an independent sample collected during the first iteration of B-SNIP (B-SNIP1; healthy subjects, N=211; psychosis group, N=526) to establish the repeatability of complex oddball ERPs across multiple psychosis syndromes (r values >0.94 between B-SNIP1 and B-SNIP2). RESULTS Twenty-six EEG features differentiated the groups; they were used in discriminant and correlational analyses. EEG variables from the N100, P300, and low-frequency ranges separated the groups along a diagnostic continuum from healthy to bipolar disorder with psychosis/bipolar disorder without psychosis to schizoaffective disorder/schizophrenia and were strongly related to general cognitive function (r=0.91). P50 responses to standard trials and early beta/gamma frequency responses separated the bipolar disorder without psychosis group from the bipolar disorder with psychosis group. P200, N200, and late beta/gamma frequency responses separated the two bipolar disorder groups from the other groups. CONCLUSIONS Neural deviations during auditory processing are related to psychosis history and bipolar disorder. There is a powerful transdiagnostic relationship between severity of these neural deviations and general cognitive performance. These results have implications for understanding the neurobiology of clinical syndromes across the schizophrenia-bipolar spectrum that may have an impact on future biomarker research.
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Affiliation(s)
- David A Parker
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Rebekah L Trotti
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Jennifer E McDowell
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Sarah K Keedy
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - S Kristian Hill
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Elliot S Gershon
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Elena I Ivleva
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Godfrey D Pearlson
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Matcheri S Keshavan
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Carol A Tamminga
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
| | - Brett A Clementz
- Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens (Parker, Trotti, McDowell, Clementz); Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago (Keedy, Gershon); Department of Psychology, Rosalind Franklin University of Medicine and Science, Chicago (Hill); Department of Psychiatry, UT Southwestern Medical Center, Dallas (Ivleva, Tamminga); Departments of Psychiatry and Neuroscience, Yale School of Medicine, New Haven, Conn. (Pearlson); Olin Center, Institute of Living, Hartford Healthcare Corporation, Hartford, Conn. (Pearlson); and Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Cambridge, Mass. (Keshavan)
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12
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Li W, Mao Z, Bo Q, Sun Y, Wang Z, Wang C. Prepulse inhibition in first-degree relatives of schizophrenia patients: A systematic review. Early Interv Psychiatry 2021; 15:652-661. [PMID: 32567764 DOI: 10.1111/eip.13003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 04/15/2020] [Accepted: 05/24/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND Prepulse inhibition (PPI) is a measure of sensorimotor gating used to identify deficits in early-stage information processing and inhibitory function defects. Many studies support the presence of PPI deficits in schizophrenia patients. However, very few studies have explored PPI levels among first-degree relatives (FDR) of schizophrenia patients, and the results have been inconsistent. This review article explored PPI levels in FDR of schizophrenia patients. METHODS We performed a systematic literature review using the PubMed, Cochrane, Embase, EBSCO and Chinese databases from inception to January 2020. A series of related factors (eg, PPI paradigm, heritability and sample characteristics) and outcomes were summarized from the literature that met the inclusion criteria. The Newcastle-Ottawa Scale was used to assess the quality of the included studies. RESULTS A total of eight studies were eligible for systematic review after screening. A meta-analysis of the selected studies was not conducted due to the limitations of quantity and paradigm heterogeneity. A majority of the studies' subjects were siblings of schizophrenia patients and different paradigms were applied. Most of the included studies reported no difference in PPI values between FDR of schizophrenia patients and healthy controls. CONCLUSION Contrary to traditional certainty that unaffected FDR of schizophrenia patients have PPI defects, our review found no sufficient evidence supporting that the PPI level in FDR of schizophrenia patients was lower than in healthy controls. A prospective cohort study focusing on different outcomes such as developing schizophrenia is required to explore PPI levels in FDR of schizophrenia patients.
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Affiliation(s)
- Weidi Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhen Mao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qijing Bo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yue Sun
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhimin Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Chuanyue Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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13
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Watanabe T, Motomura E, Kawano Y, Fujii S, Hakumoto Y, Morimoto M, Nakatani K, Okada M, Inui K. Electrical field distribution of Change-N1 and its prepulse inhibition. Neurosci Lett 2021; 751:135804. [PMID: 33705935 DOI: 10.1016/j.neulet.2021.135804] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 02/17/2021] [Accepted: 03/01/2021] [Indexed: 10/22/2022]
Abstract
An abrupt change in a sound feature (Test) in a continuous sound elicits an auditory evoked potential, peaking at approx. 100-180 ms (Change-N1) after the change onset. Change-N1 is attenuated by a preceding weak change stimulus (Prepulse), in the phenomenon known as prepulse inhibition (PPI). In this electroencephalographic study, we compared these two indexes among scalp electrodes. Change-N1 was elicited by an abrupt 10-dB increase in sound pressure in repeats of a 70-dB click sound at 100 Hz and was recorded using 22 electrodes in 31 healthy subjects. The prepulse was a 10-dB decrease in three consecutive clicks at 30, 40, and 50 ms before the Test onset. Four stimuli (Test alone, Test with Prepulse, Prepulse alone, and background alone) were presented randomly through headphones at an even probability. The results demonstrated that: (1) Electrodes at the frontal/central midline were reconfirmed to be suitable to record Change-N1; (2) Change-N1 showed right-hemisphere predominance; (3) There was no difference in the %PPI among regions (prefrontal/frontal/central) and hemispheres (midline/left/right); and (4) the Change-N1 amplitude and its PPI at prefrontal electrodes were positively correlated with those at the frontal electrodes. These results support the use of Change-N1 and its PPI as a tool to evaluate the change detection sensitivity and inhibitory function in individuals. The use of prefrontal electrodes can be an option for a screening test.
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Affiliation(s)
- Takayasu Watanabe
- Department of Central Laboratories, Mie University Hospital, Tsu, 514-8507, Japan
| | - Eishi Motomura
- Department of Neuropsychiatry, Mie University Graduate School of Medicine, Tsu, 514-8507, Japan.
| | - Yasuhiro Kawano
- Department of Neuropsychiatry, Mie University Graduate School of Medicine, Tsu, 514-8507, Japan
| | - Shinobu Fujii
- Department of Central Laboratories, Mie University Hospital, Tsu, 514-8507, Japan
| | - Yuhei Hakumoto
- Department of Central Laboratories, Mie University Hospital, Tsu, 514-8507, Japan
| | - Makoto Morimoto
- Department of Central Laboratories, Mie University Hospital, Tsu, 514-8507, Japan
| | - Kaname Nakatani
- Department of Central Laboratories, Mie University Hospital, Tsu, 514-8507, Japan
| | - Motohiro Okada
- Department of Neuropsychiatry, Mie University Graduate School of Medicine, Tsu, 514-8507, Japan
| | - Koji Inui
- Department of Functioning and Disability, Institute for Developmental Research, Aichi Developmental Disability Center, Kasugai, 480-0392, Japan
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14
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Donati FL, D’Agostino A, Ferrarelli F. Neurocognitive and neurophysiological endophenotypes in schizophrenia: An overview. Biomark Neuropsychiatry 2020. [DOI: 10.1016/j.bionps.2020.100017] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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15
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Gesture deficits and apraxia in schizophrenia. Cortex 2020; 133:65-75. [PMID: 33099076 DOI: 10.1016/j.cortex.2020.09.017] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 08/10/2020] [Accepted: 09/07/2020] [Indexed: 02/07/2023]
Abstract
Aberrant performance of skilled action has long been noted in schizophrenia and relatedly, recent reports have demonstrated impaired use, performance, and perception of hand gestures in this group. Still, this deficit is not acknowledged as apraxia, which to the broader medical field, characterizes impairments in skilled actions. Understanding the relationship between apraxia and schizophrenia may shed an invaluable new perspective on disease mechanism, and highlight novel treatment opportunities as well. To examine this potential link, we reviewed the evidence for the types of praxis errors, associated psychopathology, and cerebral correlates of the praxis deficit in schizophrenia. Notably, the review indicated that gesture deficits are severe enough to be considered genuine apraxia in a substantial proportion of patients (about 25%). Further, other potential contributors (e.g., hypokinetic motor abnormalities, cognitive impairment) are indeed associated with gesture deficits in schizophrenia, but do not sufficiently explain the abnormality. Finally, patients with praxis deficits have altered brain structure and function including the left parieto-premotor praxis network and these neural correlates are specific to the praxis deficit. Therefore, we argue that the gestural disorder frequently observed in schizophrenia shares both the clinical and neurophysiological features of true apraxia, as in other neuropsychiatric disorders with impaired higher order motor control, such as Parkinson's disease.
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16
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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] [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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17
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Zhang Z, Ye M, Li Q, You Y, Yu H, Ma Y, Mei L, Sun X, Wang L, Yue W, Li R, Li J, Zhang D. The Schizophrenia Susceptibility Gene OPCML Regulates Spine Maturation and Cognitive Behaviors through Eph-Cofilin Signaling. Cell Rep 2020; 29:49-61.e7. [PMID: 31577955 DOI: 10.1016/j.celrep.2019.08.091] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 07/09/2019] [Accepted: 08/27/2019] [Indexed: 12/30/2022] Open
Abstract
Previous genetic and biological evidence converge on the involvement of synaptic dysfunction in schizophrenia, and OPCML, encoding a synaptic membrane protein, is reported to be genetically associated with schizophrenia. However, its role in the pathophysiology of schizophrenia remains largely unknown. Here, we found that Opcml is strongly expressed in the mouse hippocampus; ablation of Opcml leads to reduced phosphorylated cofilin and dysregulated F-actin dynamics, which disturbs the spine maturation. Furthermore, Opcml interacts with EphB2 to control the stability of spines by regulating the ephrin-EphB2-cofilin signaling pathway. Opcml-deficient mice display impaired cognitive behaviors and abnormal sensorimotor gating, which are similar to features in neuropsychiatric disorders such as schizophrenia. Notably, the administration of aripiprazole partially restores the abnormal behaviors in Opcml-/- mice by increasing the phosphorylated cofilin level and facilitating spine maturation. We demonstrated a critical role of the schizophrenia-susceptible gene OPCML in spine maturation and cognitive behaviors via regulating the ephrin-EphB2-cofilin signaling pathway, providing further insights into the characteristics of schizophrenia.
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Affiliation(s)
- Zhengrong Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China; National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Maoqing Ye
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Department of Cardiology, Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China
| | - Qiongwei Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yang You
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Hao Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yuanlin Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Liwei Mei
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Xiaqin Sun
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Lifang Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Weihua Yue
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Rena Li
- National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100069, China
| | - Jun Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Dai Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
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18
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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] [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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19
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Association of cognitive and P50 suppression deficits in chronic patients with schizophrenia. Clin Neurophysiol 2020; 131:725-733. [DOI: 10.1016/j.clinph.2019.12.405] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 12/03/2019] [Accepted: 12/23/2019] [Indexed: 12/30/2022]
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20
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Gene Regulatory Network of Dorsolateral Prefrontal Cortex: a Master Regulator Analysis of Major Psychiatric Disorders. Mol Neurobiol 2019; 57:1305-1316. [PMID: 31728928 DOI: 10.1007/s12035-019-01815-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 10/11/2019] [Indexed: 10/25/2022]
Abstract
Despite the strong genetic component of psychiatric disorders, traditional genetic studies have failed to find individual genes of large effect size. Thus, alternative methods, using bioinformatics, have been proposed to solve these biological puzzles. Of these, here we employ systems biology-based approaches to identify potential master regulators (MRs) of bipolar disorder (BD), schizophrenia (SZ), and major depressive disorder (MDD), their association with biological processes and their capacity to differentiate disorders' phenotypes. High-throughput gene expression data was used to reconstruct standard human dorsolateral prefrontal cortex regulatory transcriptional network, which was then queried for regulatory units and MRs associated with the psychiatric disorders of interest. Furthermore, the activity status (active or repressed) of MR candidates was obtained and used in cluster analysis to characterize disease phenotypes. Finally, we explored the biological processes modulated by the MRs using functional enrichment analysis. Thirty-one, thirty-four, and fifteen MR candidates were identified in BD, SZ, and MDD, respectively. The activity state of these MRs grouped the illnesses in three clusters: MDD only, mostly BD, and a third one with BD and SZ. While BD and SZ share several biological processes related to ion transport and homeostasis, synapse, and immune function, SZ showed peculiar enrichment of processes related to cytoskeleton and neuronal structure. Meanwhile, MDD presented mostly processes related to glial development and fatty acid metabolism. Our findings suggest notable differences in functional enrichment between MDD and BD/SZ. Furthermore, similarities between BD and SZ may impose particular challenges in attempts to discriminate these pathologies based solely on their transcriptional profiles. Nevertheless, we believe that systems-oriented approaches are promising strategies to unravel the pathophysiology peculiarities underlying mental illnesses and reveal therapeutic targets.
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21
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Wada M, Kurose S, Miyazaki T, Nakajima S, Masuda F, Mimura Y, Nishida H, Ogyu K, Tsugawa S, Mashima Y, Plitman E, Chakravarty MM, Mimura M, Noda Y. The P300 event-related potential in bipolar disorder: A systematic review and meta-analysis. J Affect Disord 2019; 256:234-249. [PMID: 31200163 DOI: 10.1016/j.jad.2019.06.010] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 04/21/2019] [Accepted: 06/03/2019] [Indexed: 01/09/2023]
Abstract
BACKGROUND Neurophysiology including P300, that is a typical index of event-related potential, may be potential biomarkers for bipolar disorder (BD) and it can be useful towards elucidating the pathophysiology of BD. However, previous findings from P300 studies were inconsistent due to the heterogeneity of research methods, which make it difficult to understand the neurobiological significance of them. The aim of this study is to conduct a meta-analysis on P300 in patients with BD. METHOD A literature search was conducted using PubMed to identify studies that compared P300 event-related potential between patients with BD and healthy controls (HCs). We analyzed P300 indices such as amplitude and latency of P3a and P3b in auditory or visual paradigms. Further, moderator analyses were conducted to investigate the influence of patient characteristics (i.e. history of psychosis, diagnostic subcategories [BD-I/BD-II], and phase of illness [euthymic, manic, or depressive]) on P300 indices. RESULT Out of 124 initial records, we included 30 articles (BD: N = 1331; HCs: N = 1818). Patients with BD showed reduced P3a and P3b amplitude in both paradigms and delayed P3b latency in auditory paradigms compared to HCs. There was no influence on the history of psychosis, diagnostic subcategories, or phase of illness on P300 indices. LIMITATION The difference in medication use was difficult to control and it may affect the results. CONCLUSION This meta-analysis provides evidence for P300 abnormalities in patients with BD compared to HCs. Our results suggest that P300 may be trait markers rather than state markers in this illness.
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Affiliation(s)
- Masataka Wada
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Shin Kurose
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Takahiro Miyazaki
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Shinichiro Nakajima
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Fumi Masuda
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Yu Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Hana Nishida
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Kamiyu Ogyu
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Sakiko Tsugawa
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Yuuki Mashima
- Center Hospital of the National Center for Global Health and Medicine, Japan
| | - Eric Plitman
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada; Department of Psychiatry, McGill University Biological and Biomedical Engineering, McGill University, Canada
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Yoshihiro Noda
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan.
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22
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Coors A, Brosch M, Kahl E, Khalil R, Michels B, Laub A, Franke K, Gerber B, Fendt M. Rhodiola rosea root extract has antipsychotic-like effects in rodent models of sensorimotor gating. JOURNAL OF ETHNOPHARMACOLOGY 2019; 235:320-328. [PMID: 30776471 DOI: 10.1016/j.jep.2019.02.031] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 02/14/2019] [Accepted: 02/14/2019] [Indexed: 06/09/2023]
Abstract
UNLABELLED ETHNOPHARMACOLOGICAL RELEVANCE: The plant arctic root (Rhodiola rosea, L.) is growing in northern regions of Europe, Asia and North America. Extracts of R. rosea are used in traditional medicine for various conditions related to nervous system function. According to scientific studies from the last decades, the plant might have potential for use in the treatment of memory impairments, stress and depression, but reports concerning other neuropsychiatric disorders are scarce. AIM OF THE STUDY In this context, our study aimed to examine potential antipsychotic-like effects of R. rosea root extract. MATERIALS AND METHODS We tested the effects of R. rosea root extract on prepulse inhibition in rats and mice. Prepulse inhibition is an established operational measure of sensorimotor gating, which is impaired in schizophrenia and other psychotic disorders. RESULTS R. rosea root extract increased prepulse inhibition in rats and mice. Interestingly, the R. rosea extract had stronger effects in those individual animals that had low baseline levels of prepulse inhibition. Therefore, we performed further experiments in which we pharmacologically induced a prepulse inhibition deficit by two different psychostimulants, either the dopamine D2 receptor agonist apomorphine or the NMDA receptor antagonist dizocilpine (MK-801). Pre-treatment with the R. rosea extract significantly restored both, apomorphine- and dizocilpine-induced prepulse inhibition deficits. CONCLUSIONS The present study demonstrates that R. rosea extract robustly reverses prepulse inhibition deficits in rodents. This suggests antipsychotic-like effects of R. rosea extract. Future studies should focus on the pharmacological mechanisms underlying these effects.
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Affiliation(s)
- Andreas Coors
- Neuroscience Program, University of Bremen, Germany; Institute for Pharmacology and Toxicology, Otto-von-Guericke University Magdeburg, Germany.
| | - Marcel Brosch
- Integrative Neuroscience Program, Otto-von-Guericke University Magdeburg, Germany.
| | - Evelyn Kahl
- Institute for Pharmacology and Toxicology, Otto-von-Guericke University Magdeburg, Germany.
| | - Radwa Khalil
- Institute for Pharmacology and Toxicology, Otto-von-Guericke University Magdeburg, Germany.
| | - Birgit Michels
- Genetics, Leibniz Institute for Neurobiology, Magdeburg, Germany.
| | - Annegret Laub
- Leibniz Institute of Plant Biochemistry, Halle, Germany.
| | - Katrin Franke
- Leibniz Institute of Plant Biochemistry, Halle, Germany.
| | - Bertram Gerber
- Genetics, Leibniz Institute for Neurobiology, Magdeburg, Germany; Institute of Biology, Otto-von-Guericke University Magdeburg, Germany; Center of Behavioral Brain Sciences, Otto-von-Guericke University Magdeburg, Germany.
| | - Markus Fendt
- Institute for Pharmacology and Toxicology, Otto-von-Guericke University Magdeburg, Germany; Center of Behavioral Brain Sciences, Otto-von-Guericke University Magdeburg, Germany.
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23
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Wang Q, Wang C, Ji B, Zhou J, Yang C, Chen J. Hapln2 in Neurological Diseases and Its Potential as Therapeutic Target. Front Aging Neurosci 2019; 11:60. [PMID: 30949044 PMCID: PMC6437066 DOI: 10.3389/fnagi.2019.00060] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Accepted: 03/01/2019] [Indexed: 01/18/2023] Open
Abstract
Hyaluronan and proteoglycan link protein 2 (Hapln2) is important for the binding of chondroitin sulfate proteoglycans to hyaluronan. Hapln2 deficiency leads to the abnormal expression of extracellular matrix (ECM) proteins and dysfunctional neuronal conductivity, demonstrating the vital role of Hapln2 in these processes. Studies have revealed that Hapln2 promotes the aggregation of α-synuclein, thereby contributing to neurodegeneration in Parkinson’s disease (PD), and it was recently suggested to be in intracellular neurofibrillary tangles (NFTs). Additionally, the expression levels of Hapln2 showed lower in the anterior temporal lobes of individuals with schizophrenia than those of healthy subjects. Together, these studies implicate the involvement of Hapln2 in the pathological processes of neurological diseases. A better understanding of the function of Hapln2 in the central nervous system (CNS) will provide new insights into the molecular mechanisms of these diseases and help to establish promising therapeutic strategies. Herein, we review the recent progress in defining the role of Hapln2 in brain physiology and pathology.
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Affiliation(s)
- Qinqin Wang
- Neurobiology Key Laboratory, Jining Medical University, Jining, China
| | - Chunmei Wang
- Neurobiology Key Laboratory, Jining Medical University, Jining, China
| | - Bingyuan Ji
- Neurobiology Key Laboratory, Jining Medical University, Jining, China
| | - Jiawei Zhou
- State Key Laboratory of Neuroscience, Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Chunqing Yang
- Neurobiology Key Laboratory, Jining Medical University, Jining, China
| | - Jing Chen
- Neurobiology Key Laboratory, Jining Medical University, Jining, China.,Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom
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24
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Xiang J, Tian C, Niu Y, Yan T, Li D, Cao R, Guo H, Cui X, Cui H, Tan S, Wang B. Abnormal Entropy Modulation of the EEG Signal in Patients With Schizophrenia During the Auditory Paired-Stimulus Paradigm. Front Neuroinform 2019; 13:4. [PMID: 30837859 PMCID: PMC6390065 DOI: 10.3389/fninf.2019.00004] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 01/22/2019] [Indexed: 12/20/2022] Open
Abstract
The complexity change in brain activity in schizophrenia is an interesting topic clinically. Schizophrenia patients exhibit abnormal task-related modulation of complexity, following entropy of electroencephalogram (EEG) analysis. However, complexity modulation in schizophrenia patients during the sensory gating (SG) task, remains unknown. In this study, the classical auditory paired-stimulus paradigm was introduced to investigate SG, and EEG data were recorded from 55 normal controls and 61 schizophrenia patients. Fuzzy entropy (FuzzyEn) was used to explore the complexity of brain activity under the conditions of baseline (BL) and the auditory paired-stimulus paradigm (S1 and S2). Generally, schizophrenia patients showed significantly higher FuzzyEn values in the frontal and occipital regions of interest (ROIs). Relative to the BL condition, the normalized values of FuzzyEn of normal controls were decreased greatly in condition S1 and showed less variance in condition S2. Schizophrenia patients showed a smaller decrease in the normalized values in condition S1. Moreover, schizophrenia patients showed significant diminution in the suppression ratios of FuzzyEn, attributed to the higher FuzzyEn values in condition S1. These results suggested that entropy modulation during the process of sensory information and SG was obvious in normal controls and significantly deficient in schizophrenia patients. Additionally, the FuzzyEn values measured in the frontal ROI were positively correlated with positive scores of Positive and Negative Syndrome Scale (PANSS), indicating that frontal entropy was a potential indicator in evaluating the clinical symptoms. However, negative associations were found between the FuzzyEn values of occipital ROIs and general and total scores of PANSS, likely reflecting the compensation effect in visual processing. Thus, our findings provided a deeper understanding of the deficits in sensory information processing and SG, which contribute to cognitive deficits and symptoms in patients with schizophrenia.
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Affiliation(s)
- Jie Xiang
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Cheng Tian
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Yan Niu
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Ting Yan
- Translational Medicine Research CenterShanxi Medical University, Taiyuan, China
| | - Dandan Li
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Rui Cao
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Hao Guo
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Xiaohong Cui
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Huifang Cui
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Shuping Tan
- Psychiatry Research Center, Beijing Huilongguan Hospital, Peking University, Beijing, China
| | - Bin Wang
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
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25
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Shishido E, Ogawa S, Miyata S, Yamamoto M, Inada T, Ozaki N. Application of eye trackers for understanding mental disorders: Cases for schizophrenia and autism spectrum disorder. Neuropsychopharmacol Rep 2019; 39:72-77. [PMID: 30712295 PMCID: PMC7292297 DOI: 10.1002/npr2.12046] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 12/10/2018] [Accepted: 12/12/2018] [Indexed: 12/31/2022] Open
Abstract
Studies of eye movement have become an essential tool of basic neuroscience research. Measures of eye movement have been applied to higher brain functions such as cognition, social behavior, and higher‐level decision‐making. With the development of eye trackers, a growing body of research has described eye movements in relation to mental disorders, reporting that the basic oculomotor properties of patients with mental disorders differ from those of healthy controls. Using discrimination analysis, several independent research groups have used eye movements to differentiate patients with schizophrenia from a mixed population of patients and controls. Recently, in addition to traditional oculomotor measures, several new techniques have been applied to measure and analyze eye movement data. One research group investigated eye movements in relation to the risk of autism spectrum disorder several years prior to the emergence of verbal‐behavioral abnormalities. Research on eye movement in humans in social communication is therefore considered important, but has not been well explored. Since eye movement patterns vary between patients with mental disorders and healthy controls, it is necessary to collect a large amount of eye movement data from various populations and age groups. The application of eye trackers in the clinical setting could contribute to the early treatment of mental disorders. Studies of eye movement have become an essential tool of basic neuroscience research. With the development of eye trackers, a growing body of research has described eye movements in relation to mental disorders.![]()
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Affiliation(s)
- Emiko Shishido
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.,National Institute for Physiological Sciences, Okazaki, Japan
| | - Shiori Ogawa
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Seiko Miyata
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Maeri Yamamoto
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Toshiya Inada
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Norio Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
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26
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Mitochondrial DNA copy number is associated with psychosis severity and anti-psychotic treatment. Sci Rep 2018; 8:12743. [PMID: 30143692 PMCID: PMC6109159 DOI: 10.1038/s41598-018-31122-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 08/08/2018] [Indexed: 02/06/2023] Open
Abstract
Mitochondrial pathology has been implicated in the pathogenesis of psychotic disorders. A few studies have proposed reduced leukocyte mitochondrial DNA (mtDNA) copy number in schizophrenia and bipolar disorder type I, compared to healthy controls. However, it is unknown if mtDNA copy number alteration is driven by psychosis, comorbidity or treatment. Whole blood mtDNA copy number was determined in 594 psychosis patients and corrected for platelet to leukocyte count ratio (mtDNAcnres). The dependence of mtDNAcnres on clinical profile, metabolic comorbidity and antipsychotic drug exposure was assessed. mtDNAcnres was reduced with age (β = −0.210, p < 0.001), use of clozapine (β = −0.110,p = 0.012) and risperidone (β = −0.109,p = 0.014), dependent on prescribed dosage (p = 0.006 and p = 0.026, respectively), and the proportion of life on treatment (p = 0.006). Clozapine (p = 0.0005) and risperidone (p = 0.0126) had a reducing effect on the mtDNA copy number also in stem cell-derived human neurons in vitro at therapeutic plasma levels. For patients not on these drugs, psychosis severity had an effect (β = −0.129, p = 0.017), similar to age (β = −0.159, p = 0.003) and LDL (β = −0.119, p = 0.029) on whole blood mtDNAcnres. Further research is required to determine if mtDNAcnres reflects any psychosis-intrinsic mitochondrial changes.
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27
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Blakey R, Ranlund S, Zartaloudi E, Cahn W, Calafato S, Colizzi M, Crespo-Facorro B, Daniel C, Díez-Revuelta Á, Di Forti M, Iyegbe C, Jablensky A, Jones R, Hall MH, Kahn R, Kalaydjieva L, Kravariti E, Lin K, McDonald C, McIntosh AM, Picchioni M, Powell J, Presman A, Rujescu D, Schulze K, Shaikh M, Thygesen JH, Toulopoulou T, Van Haren N, Van Os J, Walshe M, Murray RM, Bramon E. Associations between psychosis endophenotypes across brain functional, structural, and cognitive domains. Psychol Med 2018; 48:1325-1340. [PMID: 29094675 PMCID: PMC6516747 DOI: 10.1017/s0033291717002860] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
BACKGROUND A range of endophenotypes characterise psychosis, however there has been limited work understanding if and how they are inter-related. METHODS This multi-centre study includes 8754 participants: 2212 people with a psychotic disorder, 1487 unaffected relatives of probands, and 5055 healthy controls. We investigated cognition [digit span (N = 3127), block design (N = 5491), and the Rey Auditory Verbal Learning Test (N = 3543)], electrophysiology [P300 amplitude and latency (N = 1102)], and neuroanatomy [lateral ventricular volume (N = 1721)]. We used linear regression to assess the interrelationships between endophenotypes. RESULTS The P300 amplitude and latency were not associated (regression coef. -0.06, 95% CI -0.12 to 0.01, p = 0.060), and P300 amplitude was positively associated with block design (coef. 0.19, 95% CI 0.10-0.28, p 0.38). All the cognitive endophenotypes were associated with each other in the expected directions (all p < 0.001). Lastly, the relationships between pairs of endophenotypes were consistent in all three participant groups, differing for some of the cognitive pairings only in the strengths of the relationships. CONCLUSIONS The P300 amplitude and latency are independent endophenotypes; the former indexing spatial visualisation and working memory, and the latter is hypothesised to index basic processing speed. Individuals with psychotic illnesses, their unaffected relatives, and healthy controls all show similar patterns of associations between endophenotypes, endorsing the theory of a continuum of psychosis liability across the population.
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Affiliation(s)
- R. Blakey
- Division of Psychiatry, University College London, London, UK
| | - S. Ranlund
- Division of Psychiatry, University College London, London, UK
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - E. Zartaloudi
- Division of Psychiatry, University College London, London, UK
| | - W. Cahn
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - S. Calafato
- Division of Psychiatry, University College London, London, UK
| | - M. Colizzi
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - B. Crespo-Facorro
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
| | - C. Daniel
- Division of Psychiatry, University College London, London, UK
| | - Á. Díez-Revuelta
- Division of Psychiatry, University College London, London, UK
- Laboratory of Cognitive and Computational Neuroscience – Centre for Biomedical Technology (CTB), Complutense University and Technical University of Madrid, Madrid, Spain
| | - M. Di Forti
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | | | - C. Iyegbe
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - A. Jablensky
- Centre for Clinical Research in Neuropsychiatry, The University of Western Australia, Perth, Western Australia, Australia
| | - R. Jones
- Division of Psychiatry, University College London, London, UK
| | - M.-H. Hall
- Psychology Research Laboratory, Harvard Medical School, McLean Hospital, Belmont, MA, USA
| | - R. Kahn
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - L. Kalaydjieva
- Harry Perkins Institute of Medical Research and Centre for Medical Research, The University of Western Australia, Perth, Australia
| | - E. Kravariti
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - K. Lin
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - C. McDonald
- Department of Psychiatry, Clinical Science Institute, National University of Ireland Galway, Ireland
| | - A. M. McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK
| | | | - M. Picchioni
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - J. Powell
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - A. Presman
- Division of Psychiatry, University College London, London, UK
| | - D. Rujescu
- Department of Psychiatry, Ludwig-Maximilians University of Munich, Munich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Halle Wittenberg, Halle, Germany
| | - K. Schulze
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - M. Shaikh
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- North East London Foundation Trust, London, UK
| | - J. H. Thygesen
- Division of Psychiatry, University College London, London, UK
| | - T. Toulopoulou
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychology, Bilkent University, Main Campus, Bilkent, Ankara, Turkey
- Department of Psychology, the University of Hong Kong, Pokfulam Rd, Hong Kong SAR, China
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, The Hong Kong Jockey Club Building for Interdisciplinary Research, Hong Kong SAR, China
| | - N. Van Haren
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J. Van Os
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychiatry and Psychology, Maastricht University Medical Centre, EURON, Maastricht, The Netherlands
| | - M. Walshe
- Division of Psychiatry, University College London, London, UK
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | | | - R. M. Murray
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - E. Bramon
- Division of Psychiatry, University College London, London, UK
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
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Lin YF, Chen CY, Öngür D, Betensky R, Smoller JW, Blacker D, Hall MH. Polygenic pleiotropy and potential causal relationships between educational attainment, neurobiological profile, and positive psychotic symptoms. Transl Psychiatry 2018; 8:97. [PMID: 29765027 PMCID: PMC5954124 DOI: 10.1038/s41398-018-0144-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 01/30/2018] [Accepted: 04/03/2018] [Indexed: 11/23/2022] Open
Abstract
Event-related potential (ERP) components have been used to assess cognitive functions in patients with psychotic illness. Evidence suggests that among patients with psychosis there is a distinct heritable neurophysiologic phenotypic subtype captured by impairments across a range of ERP measures. In this study, we investigated the genetic basis of this "globally impaired" ERP cluster and its relationship to psychosis and cognitive abilities. We applied K-means clustering to six ERP measures to re-derive the globally impaired (n = 60) and the non-globally impaired ERP clusters (n = 323) in a sample of cases with schizophrenia (SCZ = 136) or bipolar disorder (BPD = 121) and healthy controls (n = 126). We used genome-wide association study (GWAS) results for SCZ, BPD, college completion, and childhood intelligence as the discovery datasets to derive polygenic risk scores (PRS) in our study sample and tested their associations with globally impaired ERP. We conducted mediation analyses to estimate the proportion of each PRS effect on severity of psychotic symptoms that is mediated through membership in the globally impaired ERP. Individuals with globally impaired ERP had significantly higher PANSS-positive scores (β = 3.95, P = 0.005). The SCZ-PRS was nominally associated with globally impaired ERP (unadjusted P = 0.01; R2 = 3.07%). We also found a significant positive association between the college-PRS and globally impaired ERP (FDR-corrected P = 0.004; R2 = 6.15%). The effect of college-PRS on PANSS positivity was almost entirely (97.1%) mediated through globally impaired ERP. These results suggest that the globally impaired ERP phenotype may represent some aspects of brain physiology on the path between genetic influences on educational attainment and psychotic symptoms.
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Affiliation(s)
- Yen-Feng Lin
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA. .,Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan.
| | - Chia-Yen Chen
- 0000 0004 0386 9924grid.32224.35Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA USA ,grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA ,000000041936754Xgrid.38142.3cDepartment of Psychiatry, Harvard Medical School, Boston, MA USA
| | - Dost Öngür
- 000000041936754Xgrid.38142.3cDepartment of Psychiatry, Harvard Medical School, Boston, MA USA ,0000 0000 8795 072Xgrid.240206.2Psychotic Disorders Division, McLean Hospital, Belmont, MA USA
| | - Rebecca Betensky
- 000000041936754Xgrid.38142.3cDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA USA
| | - Jordan W. Smoller
- 000000041936754Xgrid.38142.3cDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA USA ,0000 0004 0386 9924grid.32224.35Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA USA ,grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA ,000000041936754Xgrid.38142.3cDepartment of Psychiatry, Harvard Medical School, Boston, MA USA
| | - Deborah Blacker
- 000000041936754Xgrid.38142.3cDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA USA ,000000041936754Xgrid.38142.3cDepartment of Psychiatry, Harvard Medical School, Boston, MA USA ,0000 0004 0386 9924grid.32224.35Gerontology Research Unit, Massachusetts General Hospital, Boston, MA USA
| | - Mei-Hua Hall
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA. .,Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA.
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29
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Motomura E, Inui K, Nishihara M, Tanahashi M, Kakigi R, Okada M. Prepulse Inhibition of the Auditory Off-Response: A Magnetoencephalographic Study. Clin EEG Neurosci 2018; 49:152-158. [PMID: 28490194 DOI: 10.1177/1550059417708914] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
A weak preceding sound stimulus attenuates the startle response evoked by an intense sound stimulus. Like startle reflexes, change-related auditory responses are suppressed by a weak leading stimulus (ie, a prepulse). We aim to examine whether a prepulse inhibits cerebral responses to the sound offset and how the prepulse magnitude affects the degree of the prepulse inhibition (PPI). Using magnetoencephalography, we recorded the Off-P50m elicited by an offset of a train sound of 100-Hz clicks in 12 healthy subjects. A single click slightly louder (+1.5, +3, or +5 dB) than the background sound of 80 dB was inserted 50 ms before the sound offset as a prepulse. We performed a dipole source analysis of the Off-P50m, and we measured its latency and amplitude using the source strength waveforms. The origin of the Off-P50m was estimated to be the auditory cortex on both hemispheres. The Off-P50m was clearly attenuated by the prepulses, and the degree of PPI was greater with a louder prepulse. The Off-P50m is considered to be a simple change-related response, which does not overlap with a processing of incoming sounds. Thus, the Off-P50m and its PPI comprise a valuable tool for investigating the neural inhibitory system.
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Affiliation(s)
- Eishi Motomura
- 1 Department of Neuropsychiatry, Mie University Graduate School of Medicine, Tsu, Japan
| | - Koji Inui
- 2 Institute for Developmental Research, Aichi Human Service Center, Kasugai, Japan.,3 Department of Integrative Physiology, National Institute for Physiological Sciences, Okazaki, Japan
| | - Makoto Nishihara
- 4 Multidisciplinary Pain Center, Aichi Medical University, Nagakute, Japan
| | - Megumi Tanahashi
- 1 Department of Neuropsychiatry, Mie University Graduate School of Medicine, Tsu, Japan
| | - Ryusuke Kakigi
- 3 Department of Integrative Physiology, National Institute for Physiological Sciences, Okazaki, Japan
| | - Motohiro Okada
- 1 Department of Neuropsychiatry, Mie University Graduate School of Medicine, Tsu, Japan
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30
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Lundin NB, Bartolomeo LA, O’Donnell BF, Hetrick WP. Reduced electroencephalogram responses to standard and target auditory stimuli in bipolar disorder and the impact of psychotic features: Analysis of event-related potentials, spectral power, and inter-trial coherence. Bipolar Disord 2018; 20:49-59. [PMID: 29024302 PMCID: PMC5807206 DOI: 10.1111/bdi.12561] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Accepted: 08/08/2017] [Indexed: 12/01/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is associated with reductions in the P3b event-related potential (ERP) response to target auditory stimuli, which suggests deficits in context updating. Previous studies have typically examined these responses in the temporal domain, which may not capture alterations in specific frequencies of phase-locked or induced electrophysiological activity. Therefore, the present study examined early and late ERPs in temporal and frequency domains in a bipolar sample with and without current psychotic features. METHODS The electroencephalogram (EEG) was recorded during an auditory oddball task. Seventy-five BD patients and 98 healthy controls (HCs) discriminated between standard and target tones. N1 ERPs to standards and P3b ERPs to targets were analyzed in the temporal domain. Event-related spectral perturbation (ERSP) and inter-trial coherence (ITC) were analyzed in the frequency domain. RESULTS The early N1 response to standard tones was not significantly different between the total HC and BD samples irrespective of psychotic features. However, N1 amplitude was reduced in BD patients with psychotic features (BDP) compared to HCs and BD patients without psychotic features. P3b was reduced in BD patients versus HCs, with the BDP sample having the most reduced amplitude. In the time-frequency analysis, delta and theta ERSP and ITC were reduced across the time window for both standard and target stimuli in BD patients compared to HCs, but did not differ in the psychotic features analysis. CONCLUSIONS The results provide neural evidence that BD is associated with disrupted sensory, attentional, and cognitive processing of auditory stimuli, which may be worsened with the presence of psychotic features.
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Affiliation(s)
- Nancy B. Lundin
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN
| | | | - Brian F. O’Donnell
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN,Larue D. Carter Memorial Hospital, Indianapolis, IN,Department of Psychiatry, Indiana School of Medicine, Indianapolis, IN
| | - William P. Hetrick
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN,Larue D. Carter Memorial Hospital, Indianapolis, IN,Department of Psychiatry, Indiana School of Medicine, Indianapolis, IN
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31
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Rutigliano G, Accorroni A, Zucchi R. The Case for TAAR1 as a Modulator of Central Nervous System Function. Front Pharmacol 2018; 8:987. [PMID: 29375386 PMCID: PMC5767590 DOI: 10.3389/fphar.2017.00987] [Citation(s) in RCA: 91] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 12/22/2017] [Indexed: 01/06/2023] Open
Abstract
TAAR1 is widely expressed across the mammalian brain, particularly in limbic and monoaminergic areas, allegedly involved in mood, attention, memory, fear, and addiction. However, the subcellular distribution of TAAR1 is still unclear, since TAAR1 signal is largely intracellular. In vitro, TAAR1 is activated with nanomolar to micromolar affinity by some endogenous amines, particularly p-tyramine, beta-phenylethylamine, and 3-iodothyronamine (T1AM), the latter representing a novel branch of thyroid hormone signaling. In addition, TAAR1 responds to a number of psychoactive drugs, i.e., amphetamines, ergoline derivatives, bromocriptine and lisuride. Trace amines have been identified as neurotransmitters in invertebrates, and they are considered as potential neuromodulators. In particular, beta-phenylethylamine and p-tyramine have been reported to modify the release and/or the response to dopamine, norepinephrine, acetylcholine and GABA, while evidence of cross-talk between TAAR1 and other aminergic receptors has been provided. Systemic or intracerebroventricular injection of exogenous T1AM produced prolearning and antiamnestic effects, reduced pain threshold, decreased non-REM sleep, and modulated the firing rate of adrenergic neurons in locus coeruleus. However each of these substances may have additional molecular targets, and it is unclear whether their endogenous levels are sufficient to produce significant TAAR1 activation in vivo. TAAR1 knock out mice show a worse performance in anxiety and working memory tests, and they are more prone to develop ethanol addiction. They also show increased locomotor response to amphetamine, and decreased stereotypical responses induced by apomorphine. Notably, human genes for TAARs cluster on chromosome 6 at q23, within a region whose mutations have been reported to confer susceptibility to schizophrenia and bipolar disorder. For human TAAR1, around 200 non-synonymous and 400 synonymous single nucleotide polymorphisms have been identified, but their functional consequences have not been extensively investigated yet. In conclusion, the bulk of evidence points to a significant physiological role of TAAR1 in the modulation of central nervous system function and a potential pharmacological role of TAAR1 agonists in neurology and/or psychiatry. However, the specific effects of TAAR1 stimulation are still controversial, and many crucial issues require further investigation.
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Affiliation(s)
- Grazia Rutigliano
- Istituto di Scienze della Vita, Scuola Superiore Sant'Anna, Pisa, Italy.,Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Alice Accorroni
- Istituto di Scienze della Vita, Scuola Superiore Sant'Anna, Pisa, Italy.,Institute of Clinical Physiology, National Research Council, Pisa, Italy
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Ranlund S, Calafato S, Thygesen JH, Lin K, Cahn W, Crespo‐Facorro B, de Zwarte SM, Díez Á, Di Forti M, Iyegbe C, Jablensky A, Jones R, Hall M, Kahn R, Kalaydjieva L, Kravariti E, McDonald C, McIntosh AM, McQuillin A, Picchioni M, Prata DP, Rujescu D, Schulze K, Shaikh M, Toulopoulou T, van Haren N, van Os J, Vassos E, Walshe M, Lewis C, Murray RM, Powell J, Bramon E. A polygenic risk score analysis of psychosis endophenotypes across brain functional, structural, and cognitive domains. Am J Med Genet B Neuropsychiatr Genet 2018; 177:21-34. [PMID: 28851104 PMCID: PMC5763362 DOI: 10.1002/ajmg.b.32581] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 07/24/2017] [Indexed: 12/26/2022]
Abstract
This large multi-center study investigates the relationships between genetic risk for schizophrenia and bipolar disorder, and multi-modal endophenotypes for psychosis. The sample included 4,242 individuals; 1,087 patients with psychosis, 822 unaffected first-degree relatives of patients, and 2,333 controls. Endophenotypes included the P300 event-related potential (N = 515), lateral ventricular volume (N = 798), and the cognitive measures block design (N = 3,089), digit span (N = 1,437), and the Ray Auditory Verbal Learning Task (N = 2,406). Data were collected across 11 sites in Europe and Australia; all genotyping and genetic analyses were done at the same laboratory in the United Kingdom. We calculated polygenic risk scores for schizophrenia and bipolar disorder separately, and used linear regression to test whether polygenic scores influenced the endophenotypes. Results showed that higher polygenic scores for schizophrenia were associated with poorer performance on the block design task and explained 0.2% (p = 0.009) of the variance. Associations in the same direction were found for bipolar disorder scores, but this was not statistically significant at the 1% level (p = 0.02). The schizophrenia score explained 0.4% of variance in lateral ventricular volumes, the largest across all phenotypes examined, although this was not significant (p = 0.063). None of the remaining associations reached significance after correction for multiple testing (with alpha at 1%). These results indicate that common genetic variants associated with schizophrenia predict performance in spatial visualization, providing additional evidence that this measure is an endophenotype for the disorder with shared genetic risk variants. The use of endophenotypes such as this will help to characterize the effects of common genetic variation in psychosis.
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Affiliation(s)
- Siri Ranlund
- Division of PsychiatryUniversity College LondonLondonUK
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | | | | | - Kuang Lin
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Wiepke Cahn
- Department of Psychiatry, Brain Centre Rudolf MagnusUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Benedicto Crespo‐Facorro
- CIBERSAMCentro Investigación Biomédica en Red Salud MentalMadridSpain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of MedicineUniversity of Cantabria–IDIVALSantanderSpain
| | - Sonja M.C. de Zwarte
- Department of Psychiatry, Brain Centre Rudolf MagnusUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Álvaro Díez
- Division of PsychiatryUniversity College LondonLondonUK
- Laboratory of Cognitive and Computational Neuroscience—Centre for Biomedical Technology (CTB)Complutense University and Technical University of MadridMadridSpain
| | - Marta Di Forti
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | | | - Conrad Iyegbe
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Assen Jablensky
- Centre for Clinical Research in NeuropsychiatryThe University of Western AustraliaPerth, Western AustraliaAustralia
| | - Rebecca Jones
- Division of PsychiatryUniversity College LondonLondonUK
| | - Mei‐Hua Hall
- Psychosis Neurobiology Laboratory, Harvard Medical SchoolMcLean HospitalBelmontMassachusetts
| | - Rene Kahn
- Department of Psychiatry, Brain Centre Rudolf MagnusUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Luba Kalaydjieva
- Harry Perkins Institute of Medical Research and Centre for Medical ResearchThe University of Western AustraliaPerthAustralia
| | - Eugenia Kravariti
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Colm McDonald
- The Centre for Neuroimaging & Cognitive Genomics (NICOG) and NCBES Galway Neuroscience CentreNational University of Ireland GalwayGalwayIreland
| | - Andrew M. McIntosh
- Division of Psychiatry, University of EdinburghRoyal Edinburgh HospitalEdinburghUK
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
| | | | | | - Marco Picchioni
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Diana P. Prata
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Faculdade de Medicina, Instituto de Medicina MolecularUniversidade de LisboaPortugal
| | - Dan Rujescu
- Department of PsychiatryLudwig‐Maximilians University of MunichMunichGermany
- Department of Psychiatry, Psychotherapy and PsychosomaticsUniversity of Halle WittenbergHalleGermany
| | - Katja Schulze
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Madiha Shaikh
- North East London Foundation TrustLondonUK
- Research Department of Clinical, Educational and Health PsychologyUniversity College LondonLondonUK
| | - Timothea Toulopoulou
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Department of Psychology, Bilkent UniversityMain CampusBilkent, AnkaraTurkey
- Department of PsychologyThe University of Hong Kong, Pokfulam RdHong Kong SARChina
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong KongThe Hong Kong Jockey Club Building for Interdisciplinary ResearchHong Kong SARChina
| | - Neeltje van Haren
- Department of Psychiatry, Brain Centre Rudolf MagnusUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Jim van Os
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Department of Psychiatry and Psychology, Maastricht University Medical CentreEURONMaastrichtThe Netherlands
| | - Evangelos Vassos
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Muriel Walshe
- Division of PsychiatryUniversity College LondonLondonUK
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | | | - Cathryn Lewis
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Robin M. Murray
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - John Powell
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
| | - Elvira Bramon
- Division of PsychiatryUniversity College LondonLondonUK
- Institute of Psychiatry Psychology and Neuroscience at King's College London and South LondonMaudsley NHS Foundation TrustLondonUK
- Institute of Cognitive NeuroscienceUniversity College LondonLondonUK
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Khan MM. Translational Significance of Selective Estrogen Receptor Modulators in Psychiatric Disorders. Int J Endocrinol 2018; 2018:9516592. [PMID: 30402099 PMCID: PMC6196929 DOI: 10.1155/2018/9516592] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 08/10/2018] [Accepted: 09/02/2018] [Indexed: 12/11/2022] Open
Abstract
Accumulating data from various clinical trial studies suggests that adjuvant therapy with ovarian hormones (estrogens) could be effective in reducing cognitive deficit and psychopathological symptoms in women with psychiatric disorders. However, estrogen therapy poses serious limitations and health issues including feminization in men and increased risks of thromboembolism, hot flashes, breast hyperplasia, and endometrium hyperplasia when used for longer duration in older women (aged ≥ 60 years) or in women who have genetic predispositions. On the other hand, selective estrogen receptor modulators (SERMs), which may (or may not) carry some risks of hot flashes, thromboembolism, breast hyperplasia, and endometrial hyperplasia, are generally devoid of feminization effect. In clinical trial studies, adjuvant therapy with tamoxifen, a triphenylethylene class of SERM, has been found to reduce the frequency of manic episodes in patients with bipolar disorder, whereas addition of raloxifene, a benzothiophene class of SERM, to regular doses of antipsychotic drugs has been found to reduce cognitive deficit and psychological symptoms in men and women with schizophrenia, including women with treatment refractory psychosis. These outcomes together with potent neurocognitive, neuroprotective, and cardiometabolic properties suggest that SERMs could be the potential targets for designing effective and safer therapies for psychiatric disorders.
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Affiliation(s)
- Mohammad M. Khan
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Zawia, P.O. Box 16418, Az-Zawiyah, Libya
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34
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Maggioni E, Crespo-Facorro B, Nenadic I, Benedetti F, Gaser C, Sauer H, Roiz-Santiañez R, Poletti S, Marinelli V, Bellani M, Perlini C, Ruggeri M, Altamura AC, Diwadkar VA, Brambilla P. Common and distinct structural features of schizophrenia and bipolar disorder: The European Network on Psychosis, Affective disorders and Cognitive Trajectory (ENPACT) study. PLoS One 2017; 12:e0188000. [PMID: 29136642 PMCID: PMC5685634 DOI: 10.1371/journal.pone.0188000] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 10/30/2017] [Indexed: 12/03/2022] Open
Abstract
INTRODUCTION Although schizophrenia (SCZ) and bipolar disorder (BD) share elements of pathology, their neural underpinnings are still under investigation. Here, structural Magnetic Resonance Imaging (MRI) data collected from a large sample of BD and SCZ patients and healthy controls (HC) were analyzed in terms of gray matter volume (GMV) using both voxel based morphometry (VBM) and a region of interest (ROI) approach. METHODS The analysis was conducted on two datasets, Dataset1 (802 subjects: 243 SCZ, 176 BD, 383 HC) and Dataset2, a homogeneous subset of Dataset1 (301 subjects: 107 HC, 85 BD and 109 SCZ). General Linear Model analyses were performed 1) at the voxel-level in the whole brain (VBM study), 2) at the regional level in the anatomical regions emerged from the VBM study (ROI study). The GMV comparison across groups was integrated with the analysis of GMV correlates of different clinical dimensions. RESULTS The VBM results of Dataset1 showed 1) in BD compared to HC, GMV deficits in right cingulate, superior temporal and calcarine cortices, 2) in SCZ compared to HC, GMV deficits in widespread cortical and subcortical areas, 3) in SCZ compared to BD, GMV deficits in insula and thalamus (p<0.05, cluster family wise error corrected). The regions showing GMV deficits in the BD group were mostly included in the SCZ ones. The ROI analyses confirmed the VBM results at the regional level in most of the clusters from the SCZ vs. HC comparison (p<0.05, Bonferroni corrected). The VBM and ROI analyses of Dataset2 provided further evidence for the enhanced GMV deficits characterizing SCZ. Based on the clinical-neuroanatomical analyses, we cannot exclude possible confounding effects due to 1) age of onset and medication in BD patients, 2) symptoms severity in SCZ patients. CONCLUSION Our study reported both shared and specific neuroanatomical characteristics between the two disorders, suggesting more severe and generalized GMV deficits in SCZ, with a specific role for insula and thalamus.
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Affiliation(s)
- Eleonora Maggioni
- Department of Neurosciences and Mental Health, IRCCS Fondazione Ca’ Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Psychiatry and Psychotherapy, Philipps University Marburg / Marburg University Hospital UKGM, Marburg, Germany
| | - Francesco Benedetti
- Department of Clinical Neurosciences and Centro di Eccellenza Risonanza Magnetica ad Alto Campo, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Neurology, Jena University Hospital, Jena, Germany
| | - Heinrich Sauer
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Roberto Roiz-Santiañez
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Sara Poletti
- Department of Clinical Neurosciences and Centro di Eccellenza Risonanza Magnetica ad Alto Campo, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Veronica Marinelli
- Department of Experimental and Clinical Medical Sciences (DISM), University of Udine, Udine, Italy
| | - Marcella Bellani
- Section of Psychiatry, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy
| | - Cinzia Perlini
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Verona, Italy
| | - Mirella Ruggeri
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - A. Carlo Altamura
- Department of Neurosciences and Mental Health, IRCCS Fondazione Ca’ Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Vaibhav A. Diwadkar
- Department of Psychiatry & Behavioral Neuroscience, Wayne State University, Detroit, MI, United States of America
| | - Paolo Brambilla
- IRCCS Scientific Institute “E. Medea”, Bosisio Parini, Lecco, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
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35
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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] [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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36
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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: 102] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [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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37
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Trillenberg P, Sprenger A, Talamo S, Herold K, Helmchen C, Verleger R, Lencer R. Visual and non-visual motion information processing during pursuit eye tracking in schizophrenia and bipolar disorder. Eur Arch Psychiatry Clin Neurosci 2017; 267:225-235. [PMID: 26816222 DOI: 10.1007/s00406-016-0671-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Accepted: 01/11/2016] [Indexed: 11/29/2022]
Abstract
Despite many reports on visual processing deficits in psychotic disorders, studies are needed on the integration of visual and non-visual components of eye movement control to improve the understanding of sensorimotor information processing in these disorders. Non-visual inputs to eye movement control include prediction of future target velocity from extrapolation of past visual target movement and anticipation of future target movements. It is unclear whether non-visual input is impaired in patients with schizophrenia. We recorded smooth pursuit eye movements in 21 patients with schizophrenia spectrum disorder, 22 patients with bipolar disorder, and 24 controls. In a foveo-fugal ramp task, the target was either continuously visible or was blanked during movement. We determined peak gain (measuring overall performance), initial eye acceleration (measuring visually driven pursuit), deceleration after target extinction (measuring prediction), eye velocity drifts before onset of target visibility (measuring anticipation), and residual gain during blanking intervals (measuring anticipation and prediction). In both patient groups, initial eye acceleration was decreased and the ability to adjust eye acceleration to increasing target acceleration was impaired. In contrast, neither deceleration nor eye drift velocity was reduced in patients, implying unimpaired non-visual contributions to pursuit drive. Disturbances of eye movement control in psychotic disorders appear to be a consequence of deficits in sensorimotor transformation rather than a pure failure in adding cognitive contributions to pursuit drive in higher-order cortical circuits. More generally, this deficit might reflect a fundamental imbalance between processing external input and acting according to internal preferences.
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Affiliation(s)
| | - Andreas Sprenger
- Department of Neurology, University of Lübeck, Lübeck, Germany.,Institute of Psychology II, University of Lübeck, Lübeck, Germany
| | - Silke Talamo
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Kirsten Herold
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | | | - Rolf Verleger
- Department of Neurology, University of Lübeck, Lübeck, Germany.,Institute of Psychology II, University of Lübeck, Lübeck, Germany
| | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany. .,Department of Psychiatry and Psychotherapy, University of Münster, Albert-Schweitzer-Campus 1, Geb. A9, 48149, Münster, Germany.
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38
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Díez Á, Ranlund S, Pinotsis D, Calafato S, Shaikh M, Hall MH, Walshe M, Nevado Á, Friston KJ, Adams RA, Bramon E. Abnormal frontoparietal synaptic gain mediating the P300 in patients with psychotic disorder and their unaffected relatives. Hum Brain Mapp 2017; 38:3262-3276. [PMID: 28345275 DOI: 10.1002/hbm.23588] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 03/14/2017] [Accepted: 03/15/2017] [Indexed: 01/29/2023] Open
Abstract
The "dysconnection hypothesis" of psychosis suggests that a disruption of functional integration underlies cognitive deficits and clinical symptoms. Impairments in the P300 potential are well documented in psychosis. Intrinsic (self-)connectivity in a frontoparietal cortical hierarchy during a P300 experiment was investigated. Dynamic Causal Modeling was used to estimate how evoked activity results from the dynamics of coupled neural populations and how neural coupling changes with the experimental factors. Twenty-four patients with psychotic disorder, twenty-four unaffected relatives, and twenty-five controls underwent EEG recordings during an auditory oddball paradigm. Sixteen frontoparietal network models (including primary auditory, superior parietal, and superior frontal sources) were analyzed and an optimal model of neural coupling, explaining diagnosis and genetic risk effects, as well as their interactions with task condition were identified. The winning model included changes in connectivity at all three hierarchical levels. Patients showed decreased self-inhibition-that is, increased cortical excitability-in left superior frontal gyrus across task conditions, compared with unaffected participants. Relatives had similar increases in excitability in left superior frontal and right superior parietal sources, and a reversal of the normal synaptic gain changes in response to targets relative to standard tones. It was confirmed that both subjects with psychotic disorder and their relatives show a context-independent loss of synaptic gain control at the highest hierarchy levels. The relatives also showed abnormal gain modulation responses to task-relevant stimuli. These may be caused by NMDA-receptor and/or GABAergic pathologies that change the excitability of superficial pyramidal cells and may be a potential biological marker for psychosis. Hum Brain Mapp 38:3262-3276, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Álvaro Díez
- Division of Psychiatry, University College London, London, United Kingdom.,Department of Basic Psychology II - Cognitive processes, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain.,Laboratory of Cognitive and Computational Neuroscience - Centre for Biomedical Technology (CTB), Complutense University and Technical University of Madrid, Madrid, Spain
| | - Siri Ranlund
- Division of Psychiatry, University College London, London, United Kingdom.,Psychology & Neuroscience - King's College London, Institute of Psychiatry, London, United Kingdom
| | - Dimitris Pinotsis
- The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, United Kingdom.,The Picower Institute for Learning & Memory and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Stella Calafato
- Division of Psychiatry, University College London, London, United Kingdom
| | - Madiha Shaikh
- North East London NHS Foundation Trust, London, United Kingdom.,Psychology & Neuroscience - King's College London, Institute of Psychiatry, London, United Kingdom
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, McLean Hospital, Harvard Medical School, Belmont, Massachusetts
| | - Muriel Walshe
- Division of Psychiatry, University College London, London, United Kingdom.,Psychology & Neuroscience - King's College London, Institute of Psychiatry, London, United Kingdom
| | - Ángel Nevado
- Department of Basic Psychology II - Cognitive processes, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain.,Laboratory of Cognitive and Computational Neuroscience - Centre for Biomedical Technology (CTB), Complutense University and Technical University of Madrid, Madrid, Spain
| | - Karl J Friston
- The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, United Kingdom
| | - Rick A Adams
- Division of Psychiatry, University College London, London, United Kingdom.,Institute of Cognitive Neuroscience, University College London, London, United Kingdom
| | - Elvira Bramon
- Division of Psychiatry, University College London, London, United Kingdom.,Psychology & Neuroscience - King's College London, Institute of Psychiatry, London, United Kingdom.,Institute of Cognitive Neuroscience, University College London, London, United Kingdom
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39
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Iacono WG, Malone SM, Vrieze SI. Endophenotype best practices. Int J Psychophysiol 2017; 111:115-144. [PMID: 27473600 PMCID: PMC5219856 DOI: 10.1016/j.ijpsycho.2016.07.516] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Revised: 07/21/2016] [Accepted: 07/24/2016] [Indexed: 01/19/2023]
Abstract
This review examines the current state of electrophysiological endophenotype research and recommends best practices that are based on knowledge gleaned from the last decade of molecular genetic research with complex traits. Endophenotype research is being oversold for its potential to help discover psychopathology relevant genes using the types of small samples feasible for electrophysiological research. This is largely because the genetic architecture of endophenotypes appears to be very much like that of behavioral traits and disorders: they are complex, influenced by many variants (e.g., tens of thousands) within many genes, each contributing a very small effect. Out of over 40 electrophysiological endophenotypes covered by our review, only resting heart, a measure that has received scant advocacy as an endophenotype, emerges as an electrophysiological variable with verified associations with molecular genetic variants. To move the field forward, investigations designed to discover novel variants associated with endophenotypes will need extremely large samples best obtained by forming consortia and sharing data obtained from genome wide arrays. In addition, endophenotype research can benefit from successful molecular genetic studies of psychopathology by examining the degree to which these verified psychopathology-relevant variants are also associated with an endophenotype, and by using knowledge about the functional significance of these variants to generate new endophenotypes. Even without molecular genetic associations, endophenotypes still have value in studying the development of disorders in unaffected individuals at high genetic risk, constructing animal models, and gaining insight into neural mechanisms that are relevant to clinical disorder.
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40
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Yates NJ, Robertson D, Rodger J, Martin-Iverson MT. Effects of Neonatal Dexamethasone Exposure on Adult Neuropsychiatric Traits in Rats. PLoS One 2016; 11:e0167220. [PMID: 27936175 PMCID: PMC5147874 DOI: 10.1371/journal.pone.0167220] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 11/10/2016] [Indexed: 11/18/2022] Open
Abstract
The effects of early life stress in utero or in neonates has long-term consequences on hypothalamic-pituitary-adrenal (HPA) stress axis function and neurodevelopment. These effects extend into adulthood and may underpin a variety of mental illnesses and be related to various developmental and cognitive changes. We examined the potential role of neonatal HPA axis activation on adult psychopathology and dopamine sensitivity in the mature rat using neonatal exposure to the synthetic glucocorticoid receptor agonist and stress hormone, dexamethasone. We utilized a comprehensive battery of assessments for behaviour, brain function and gene expression to determine if elevated early life HPA activation is associated with adult-onset neuropsychiatric traits. Dexamethasone exposure increased startle reactivity under all conditions tested, but decreased sensitivity of sensorimotor gating to dopaminergic disruption–contrasting with what is observed in several neuropsychiatric diseases. Under certain conditions there also appeared to be mild long-term changes in stress and anxiety-related behaviours with neonatal dexamethasone exposure. Electrophysiology revealed that there were no consistent neuropsychiatric abnormalities in auditory processing or resting state brain function with dexamethasone exposure. However, neonatal dexamethasone altered auditory cortex glucocorticoid activation, and auditory cortex synchronization. Our results indicate that neonatal HPA axis activation by dexamethasone alters several aspects of adult brain function and behaviour and may induce long-term changes in emotional stress-reactivity. However, neonatal dexamethasone exposure is not specifically related to any particular neuropsychiatric disease.
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Affiliation(s)
- Nathanael J. Yates
- School of Animal Biology, Faculty of Science, The University of Western Australia, Crawley, Western Australia, Australia
- * E-mail:
| | - Donald Robertson
- School of Anatomy, Physiology, and Human Biology, Faculty of Science, The University of Western Australia, Crawley, Western Australia, Australia
| | - Jennifer Rodger
- School of Animal Biology, Faculty of Science, The University of Western Australia, Crawley, Western Australia, Australia
| | - Mathew T. Martin-Iverson
- School of Medicine and Pharmacology, Faculty of Medicine, Dentistry and Health Sciences, The University of Western Australia, Crawley, Western Australia, Australia
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41
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Sánchez-Morla EM, Mateo J, Aparicio A, García-Jiménez MÁ, Jiménez E, Santos JL. Prepulse inhibition in euthymic bipolar disorder patients in comparison with control subjects. Acta Psychiatr Scand 2016; 134:350-9. [PMID: 27294331 DOI: 10.1111/acps.12604] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/23/2016] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Deficient prepulse inhibition (PPI) of the startle response, indicating sensorimotor gating deficits, has been reported in schizophrenia and other neuropsychiatric disorders. This study aimed to assess sensorimotor gating deficits in patients with euthymic bipolar. Furthermore, we analysed the relationships between PPI and clinical and cognitive measures. METHOD Prepulse inhibition was measured in 64 patients with euthymic bipolar and in 64 control subjects matched for age, gender, education level and smoking status. Clinical characteristics and level of functioning were assessed in all participants using Hamilton Depression Rating Scale (HDRS), Young Mania Rating Scale (YMRS) and Functioning Assessment Short Test (FAST). Cognition was evaluated using the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery (MCCB) and the Stroop test as an additional measure of executive function. RESULTS Compared with controls, patients with bipolar disorder exhibited PPI deficits at 60- and 120-millisecond prepulse-pulse intervals. Among patients with bipolar disorder, PPI was correlated with the social cognition domain of the MCCB. PPI was not significantly correlated with other clinical, functional and neurocognitive variables in either group. CONCLUSIONS Our data suggest that PPI deficit is a neurobiological marker in euthymic bipolar disorder, which is associated with social cognition but not with other clinical, functional or cognitive measures.
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Affiliation(s)
- E M Sánchez-Morla
- Department of Psychiatry, Hospital Virgen de la Luz, Cuenca, Spain. .,Department of Psychiatry, Hospital Universitario de Guadalajara, Guadalajara, Spain. .,Department of Medicine, School of Medicine, University of Alcalá, Madrid, Spain.
| | - J Mateo
- Innovation in Bioengineering Research Group, University of Castilla La Mancha, Cuenca, Spain
| | - A Aparicio
- Department of Psychiatry, Hospital Virgen de la Luz, Cuenca, Spain
| | | | - E Jiménez
- Department of Psychiatry, Hospital Virgen de la Luz, Cuenca, Spain
| | - J L Santos
- Department of Psychiatry, Hospital Virgen de la Luz, Cuenca, Spain
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42
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Lee CW, Kim SH, Shim M, Ryu V, Ha RY, Lee SJ, Cho HS. P600 alteration of syntactic language processing in patients with bipolar mania: Comparison to schizophrenic patients and healthy subjects. J Affect Disord 2016; 201:101-11. [PMID: 27195515 DOI: 10.1016/j.jad.2016.05.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Revised: 04/05/2016] [Accepted: 05/09/2016] [Indexed: 11/25/2022]
Abstract
BACKGROUND Disturbances in thought, speech, and linguistic processing are frequently observed in bipolar manic patients, but the underlying neurophysiological mechanisms are not well understood. P600 is a distinct, positive event-related potential component elicited by syntactic violations. Using the P600 ERP, we examined neural processing of syntactic language comprehension in patients with bipolar mania compared to patients with schizophrenia and healthy people. METHOD P600s were recorded from 21 manic patients with bipolar disorder, 26 patients with schizophrenia, and 29 healthy subjects during the presentation of 120 auditory sentences with syntactic violations or non-violations. Subjects were asked to judge whether each sentence was correct or incorrect. RESULTS Patients with mania and schizophrenia had significantly smaller P600 amplitudes associated with syntactic violations compared with healthy subjects. There was no difference in P600 amplitude between patient groups. For behavioral performance, patients with schizophrenia had significantly less accurate rates and longer reaction times compared with healthy subjects, whereas manic patients exhibited no significant differences in accuracy and only showed increased reaction times in comparison with healthy subjects. LIMITATIONS Psychotropic drug usage and small sample size. CONCLUSION Patients with bipolar mania have reduced P600 amplitude, comparable to patients with schizophrenia. Our findings may represent the first neurophysiological evidence of abnormal syntactic linguistic processing in bipolar mania.
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Affiliation(s)
- Chang Woo Lee
- Department of Psychiatry, Jin Hospital, Bucheon, Republic of Korea
| | - Sung Hwa Kim
- Department of Psychiatry, Hallym University College of Medicine, Hwaseong, Republic of Korea
| | - Miseon Shim
- Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea
| | - Vin Ryu
- Department of Psychiatry, Seoul National Hospital, Seoul, Republic of Korea
| | - Ra Yeon Ha
- Department of Psychiatry, Seoul Bukbu Hospital, Seoul, Republic of Korea
| | - Su Jin Lee
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyun-Sang Cho
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea.
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43
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The relevance of attention in schizophrenia P50 paired stimulus studies. Clin Neurophysiol 2016; 127:2448-54. [DOI: 10.1016/j.clinph.2016.03.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Revised: 03/06/2016] [Accepted: 03/09/2016] [Indexed: 11/24/2022]
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Zhang Z, Zheng F, You Y, Ma Y, Lu T, Yue W, Zhang D. Growth arrest specific gene 7 is associated with schizophrenia and regulates neuronal migration and morphogenesis. Mol Brain 2016; 9:54. [PMID: 27189492 PMCID: PMC4870797 DOI: 10.1186/s13041-016-0238-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2015] [Accepted: 05/10/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Schizophrenia is a highly heritable chronic mental disorder with significant abnormalities in brain function. The neurodevelopmental hypothesis proposes that schizophrenia originates in the prenatal period due to impairments in neuronal developmental processes such as migration and arborization, leading to abnormal brain maturation. Previous studies have identified multiple promising candidate genes that drive functions in neurodevelopment and are associated with schizophrenia. However, the molecular mechanisms of how they exert effects on the pathophysiology of schizophrenia remain largely unknown. RESULTS In our research, we identified growth arrest specific gene 7 (GAS7) as a schizophrenia risk gene in two independent Han Chinese populations using a two-stage association study. Functional experiments were done to further explore the underlying mechanisms of the role of Gas7 in cortical development. In vitro, we discovered that Gas7 contributed to neurite outgrowth through the F-BAR domain. In vivo, overexpression of Gas7 arrested neuronal migration by increasing leading process branching, while suppression of Gas7 could inhibit neuronal migration by lengthening leading processes. Through a series of behavioral tests, we also found that Gas7-deficient mice showed sensorimotor gating deficits. CONCLUSIONS Our results demonstrate GAS7 as a susceptibility gene for schizophrenia. Gas7 might participate in the pathogenesis of schizophrenia by regulating neurite outgrowth and neuronal migration through its C-terminal F-BAR domain. The impaired pre-pulse inhibition (PPI) of Gas7-deficient mice might mirror the disease-related behavior in schizophrenia.
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Affiliation(s)
- Zhengrong Zhang
- Institute of Mental Health, The Sixth Hospital, Peking University, 51 Hua Yuan Bei Road, Hai Dian District, Beijing, 100191, China.,Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), Beijing, 100191, China
| | - Fanfan Zheng
- Institute of Mental Health, The Sixth Hospital, Peking University, 51 Hua Yuan Bei Road, Hai Dian District, Beijing, 100191, China. .,Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), Beijing, 100191, China. .,Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, 95 Zhong Guan Cun East Road, Hai Dian District, Beijing, 100190, China.
| | - Yang You
- Institute of Mental Health, The Sixth Hospital, Peking University, 51 Hua Yuan Bei Road, Hai Dian District, Beijing, 100191, China.,Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), Beijing, 100191, China
| | - Yuanlin Ma
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China
| | - Tianlan Lu
- Institute of Mental Health, The Sixth Hospital, Peking University, 51 Hua Yuan Bei Road, Hai Dian District, Beijing, 100191, China.,Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), Beijing, 100191, China
| | - Weihua Yue
- Institute of Mental Health, The Sixth Hospital, Peking University, 51 Hua Yuan Bei Road, Hai Dian District, Beijing, 100191, China.,Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), Beijing, 100191, China
| | - Dai Zhang
- Institute of Mental Health, The Sixth Hospital, Peking University, 51 Hua Yuan Bei Road, Hai Dian District, Beijing, 100191, China. .,Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), Beijing, 100191, China. .,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China. .,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China.
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45
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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. Am J Psychiatry 2016; 173:373-84. [PMID: 26651391 PMCID: PMC5314432 DOI: 10.1176/appi.ajp.2015.14091200] [Citation(s) in RCA: 466] [Impact Index Per Article: 58.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Clinical phenomenology remains the primary means for classifying psychoses despite considerable evidence that this method incompletely captures biologically meaningful differentiations. Rather than relying on clinical diagnoses as the gold standard, this project drew on neurobiological heterogeneity among psychosis cases to delineate subgroups independent of their phenomenological manifestations. METHOD A large biomarker panel (neuropsychological, stop signal, saccadic control, and auditory stimulation paradigms) characterizing diverse aspects of brain function was collected on individuals with schizophrenia, schizoaffective disorder, and bipolar disorder with psychosis (N=711), their first-degree relatives (N=883), and demographically comparable healthy subjects (N=278). Biomarker variance across paradigms was exploited to create nine integrated variables that were used to capture neurobiological variance among the psychosis cases. Data on external validating measures (social functioning, structural magnetic resonance imaging, family biomarkers, and clinical information) were collected. RESULTS Multivariate taxometric analyses identified three neurobiologically distinct psychosis biotypes that did not respect clinical diagnosis boundaries. The same analysis procedure using clinical DSM diagnoses as the criteria was best described by a single severity continuum (schizophrenia worse than schizoaffective disorder worse than bipolar psychosis); this was not the case for biotypes. The external validating measures supported the distinctiveness of these subgroups compared with clinical diagnosis, highlighting a possible advantage of neurobiological versus clinical categorization schemes for differentiating psychotic disorders. CONCLUSIONS These data illustrate how multiple pathways may lead to clinically similar psychosis manifestations, and they provide explanations for the marked heterogeneity observed across laboratories on the same biomarker variables when DSM diagnoses are used as the gold standard.
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Affiliation(s)
- Brett A Clementz
- From the Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens; the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas; the Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Conn., and the Institute of Living, Hartford Hospital, Hartford, Conn.; and the Department of Psychiatry, Harvard Medical School, Boston
| | - John A Sweeney
- From the Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens; the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas; the Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Conn., and the Institute of Living, Hartford Hospital, Hartford, Conn.; and the Department of Psychiatry, Harvard Medical School, Boston
| | - Jordan P Hamm
- From the Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens; the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas; the Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Conn., and the Institute of Living, Hartford Hospital, Hartford, Conn.; and the Department of Psychiatry, Harvard Medical School, Boston
| | - Elena I Ivleva
- From the Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens; the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas; the Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Conn., and the Institute of Living, Hartford Hospital, Hartford, Conn.; and the Department of Psychiatry, Harvard Medical School, Boston
| | - Lauren E Ethridge
- From the Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens; the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas; the Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Conn., and the Institute of Living, Hartford Hospital, Hartford, Conn.; and the Department of Psychiatry, Harvard Medical School, Boston
| | - Godfrey D Pearlson
- From the Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens; the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas; the Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Conn., and the Institute of Living, Hartford Hospital, Hartford, Conn.; and the Department of Psychiatry, Harvard Medical School, Boston
| | - Matcheri S Keshavan
- From the Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens; the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas; the Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Conn., and the Institute of Living, Hartford Hospital, Hartford, Conn.; and the Department of Psychiatry, Harvard Medical School, Boston
| | - Carol A Tamminga
- From the Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens; the Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas; the Departments of Psychiatry and Neurobiology, Yale University School of Medicine, New Haven, Conn., and the Institute of Living, Hartford Hospital, Hartford, Conn.; and the Department of Psychiatry, Harvard Medical School, Boston
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Moons T, De Hert M, Gellens E, Gielen L, Sweers K, Jacqmaert S, van Winkel R, Vandekerckhove P, Claes S. Genetic Evaluation of Schizophrenia Using the Illumina HumanExome Chip. PLoS One 2016; 11:e0150464. [PMID: 27028512 PMCID: PMC4814136 DOI: 10.1371/journal.pone.0150464] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2015] [Accepted: 02/15/2016] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION Schizophrenia is a genetically heterogeneous disorder that is associated with several common and rare genetic variants. As technology involved, cost advantages of chip based genotyping was combined with information about rare variants, resulting in the Infinium HumanExome Beadchip. Using this chip, a sample of 493 patients with schizophrenia or schizoaffective disorder and 484 healthy controls was genotyped. RESULTS From the initial 242901 SNVs, 88306 had at least one minor allele and passed quality control. No variant reached genomewide-significant results (p<10(-8)). The SNP with the lowest p-value was rs1230345 in WISP3 (p = 3.05*10(-6)), followed by rs9311525 in CACNA2D3 (p = 1.03*10(-5)) and rs1558557 (p = 3.85*10(-05)) on chromosome 7. At the gene level, 3 genes were of interest: WISP3, on chromosome 6q21, a signally protein from the extracellular matrix. A second candidate gene is CACNA2D3, a regulator of the intracerebral calcium pathway. A third gene is TNFSF10, associated with p53 mediated apoptosis.
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Affiliation(s)
- Tim Moons
- GRASP research group, UPC KULeuven, Campus Leuven, Leuven, Belgium
| | - Marc De Hert
- UPC KULeuven, campus Kortenberg, Kortenberg, Belgium
| | - Edith Gellens
- GRASP research group, UPC KULeuven, Campus Leuven, Leuven, Belgium
| | - Leen Gielen
- UPC KULeuven, campus Kortenberg, Kortenberg, Belgium
| | - Kim Sweers
- UPC KULeuven, campus Kortenberg, Kortenberg, Belgium
| | | | - Ruud van Winkel
- KU Leuven—University of Leuven, Department of Public Health and Primary Care, Leuven, Belgium
| | - Philippe Vandekerckhove
- Belgian Red Cross-Flanders, Mechelen, Belgium
- KU Leuven—University of Leuven, Department of Public Health and Primary Care, Leuven, Belgium
| | - Stephan Claes
- GRASP research group, UPC KULeuven, Campus Leuven, Leuven, Belgium
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Startle Modification and P50 Gating in Schizophrenia Patients and Controls: Russian Population. SPANISH JOURNAL OF PSYCHOLOGY 2016; 19:E8. [PMID: 26936103 DOI: 10.1017/sjp.2016.1] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Prepulse modification of the acoustic startle response (ASR) and P50 gating are potential neurophysiological endophenotypes of schizophrenia and may be used in the construction of valid clinical biomarkers. Such approach requires a large amount of data obtained in the representative samples from different gender, socio-typological and ethnic groups, replicating studies using the similar protocols and meta-analyses. This is a replication study of ASR and the first study of P50 suppression in Russian patients with schizophrenia (n = 28) and healthy controls (n = 25). ASR and P50 were estimated according to standard protocols. Patients exhibited increased baseline ASR latency (d = 0.35, p = .026) and reduced prepulse inhibition (PPI) at 60 ms interval (d = 0.39, p = .003) and 120 ms interval (d = 0.37, p = .005) relative to controls. In the P50 test patients displayed greater S2 response amplitude (d = 0.24, p = .036) and deficit of P50 suppression (d = 0.43, p = .001). No correlations of PPI and P50 suppression were found in both groups. Only in controls prepulse ASR facilitation (at 2500 ms interval) positively correlated with P50 suppression (r = -.514, p = .013). In patients PPI displayed significant correlations with Difficulty in abstract thinking (N5: r = -.49, p = .005) and Hallucination (P3: r = .40, p = .036) PANSS scales. Logistic regression showed that the combination of PPI and P50 suppression could serve as a diagnostic predictor. Obtained results demonstrated that both PPI and P50 could be regarded as potential schizophrenia biomarkers in Russian population.
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Damilou A, Apostolakis S, Thrapsanioti E, Theleritis C, Smyrnis N. Shared and distinct oculomotor function deficits in schizophrenia and obsessive compulsive disorder. Psychophysiology 2016; 53:796-805. [PMID: 26914941 DOI: 10.1111/psyp.12630] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 01/11/2016] [Indexed: 02/06/2023]
Abstract
Detailed analysis of oculomotor function phenotypes in antisaccade, smooth eye pursuit, and active fixation tasks was performed in a sample of 44 patients with schizophrenia, 34 patients with obsessive compulsive disorder (OCD), and 45 matched healthy controls. A common pattern of performance deficits in both schizophrenia and OCD emerged including higher antisaccade error rate, increased latency for corrective antisaccades, as well as higher rates of unwanted saccades in smooth eye pursuit compared to healthy controls. This common pattern could be related to the dysfunction of a network of cognitive control that is present in both disorders, including the dorsolateral prefrontal cortex, the posterior parietal cortex, and the anterior cingulate cortex. In contrast, only patients with schizophrenia showed a specific increase for correct antisaccade mean latency and the intrasubject variability of latency for error prosaccades as well as a decrease in the gain for smooth eye pursuit, suggesting a specific deficit in saccadic motor control and the frontal eye field in schizophrenia that is not present in OCD. A specific deficit in fixation stability (increased frequency of unwanted saccades during active fixation) was observed only for OCD patients pointing to a deficit in the frontostriatal network controlling fixation. This deficit was pronounced for OCD patients receiving additional antipsychotic medication. In conclusion, oculomotor function showed shared and distinct patterns of deviance for schizophrenia and OCD pointing toward shared and specific neurobiological substrates for these psychiatric disorders.
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Affiliation(s)
- Angeliki Damilou
- Laboratory of Sensorimotor Control, University Mental Health Research Institute, Athens, Greece
| | - Sotirios Apostolakis
- Laboratory of Sensorimotor Control, University Mental Health Research Institute, Athens, Greece
| | - Eleftheria Thrapsanioti
- Laboratory of Sensorimotor Control, University Mental Health Research Institute, Athens, Greece
| | - Christos Theleritis
- Laboratory of Sensorimotor Control, University Mental Health Research Institute, Athens, Greece.,Department of Psychiatry, National University of Athens, Eginition Hospital, Athens, Greece
| | - Nikolaos Smyrnis
- Laboratory of Sensorimotor Control, University Mental Health Research Institute, Athens, Greece.,Department of Psychiatry, National University of Athens, Eginition Hospital, Athens, Greece
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49
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Horan WP, Wynn JK, Hajcak G, Altshuler L, Green MF. Distinct patterns of dysfunctional appetitive and aversive motivation in bipolar disorder versus schizophrenia: An event-related potential study. JOURNAL OF ABNORMAL PSYCHOLOGY 2016; 125:576-87. [PMID: 26845261 DOI: 10.1037/abn0000142] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Schizophrenia and bipolar disorder are associated with different clinical profiles of disturbances in motivation, yet few studies have compared the neurophysiological correlates of such disturbances. Outpatients with schizophrenia (n = 34), or bipolar disorder I (n = 33), and healthy controls (n = 31) completed a task in which the late positive potential (LPP), an index of motivated attention, was assessed along motivational gradients determined by apparent distance from potential rewards or punishments. Sequences of cues signaling possible monetary gains or losses appeared to loom progressively closer to the viewer; a reaction time (RT) task after the final cue determined the outcome. Controls showed the expected pattern with LPPs for appetitive and aversive cues that were initially elevated, smaller during intermediate positions, and escalated just prior to the RT task. The clinical groups showed different patterns in the final positions just prior to the RT task: the bipolar group's LPPs to both types of cues peaked relatively early during looming sequences and subsequently decreased, whereas the schizophrenia group showed relatively small LPP escalations, particularly for aversive cues. These distinct patterns suggest that the temporal unfolding of attentional resource allocation for motivationally significant events may qualitatively differ between these disorders. (PsycINFO Database Record
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Affiliation(s)
- William P Horan
- Department of Psychiatry, VA Greater Los Angeles Healthcare System
| | - Jonathan K Wynn
- Department of Psychiatry, VA Greater Los Angeles Healthcare System
| | - Greg Hajcak
- Department of Psychology, Stony Brook University
| | | | - Michael F Green
- Department of Psychiatry, VA Greater Los Angeles Healthcare System
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50
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Lencer R, Sprenger A, Reilly JL, McDowell JE, Rubin LH, Badner JA, Keshavan MS, Pearlson GD, Tamminga CA, Gershon ES, Clementz BA, Sweeney JA. Pursuit eye movements as an intermediate phenotype across psychotic disorders: Evidence from the B-SNIP study. Schizophr Res 2015; 169:326-333. [PMID: 26481615 PMCID: PMC4681655 DOI: 10.1016/j.schres.2015.09.032] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Revised: 09/24/2015] [Accepted: 09/27/2015] [Indexed: 10/22/2022]
Abstract
Smooth pursuit eye tracking deficits are a promising intermediate phenotype for schizophrenia and possibly for psychotic disorders more broadly. The Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) consortium investigated the severity and familiality of different pursuit parameters across psychotic disorders. Probands with schizophrenia (N=265), schizoaffective disorder (N=178), psychotic bipolar disorder (N=231), their first-degree relatives (N=306, N=217, N=273, respectively) and healthy controls (N=305) performed pursuit tracking tasks designed to evaluate sensorimotor and cognitive/predictive aspects of pursuit. Probands from all diagnostic groups were impaired on all pursuit measures of interest compared to controls (p<0.001). Schizophrenia probands were more impaired than other proband groups on both early pursuit gain and predictive gain. Relatives with and without enhanced psychosis spectrum personality traits were impaired on initial eye acceleration, the most direct sensorimotor pursuit measure, but not on pursuit gain measures. This suggests that alterations in early sensorimotor function may track susceptibility to psychosis even in the absence of psychosis related personality traits. There were no differences in pursuit measures between relatives of the three proband groups. Familiality estimates of pursuit deficits indicate that early pursuit gain was more familial than predictive gain, which has been the most widely used measure in previous family studies of psychotic disorders. Thus, while disease-related factors may induce significant impairments of pursuit gain, especially in schizophrenia, the pattern of deficits in relatives and their familiality estimates suggest that alterations in sensorimotor function at pursuit onset may indicate increased susceptibility across psychotic disorders.
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Affiliation(s)
- Rebekka Lencer
- Department of Psychiatry and Psychotherapy, and Otto Creutzfeld Center, University of Muenster, Muenster, Germany
| | - Andreas Sprenger
- Department of Neurology, University of Luebeck, Luebeck, Germany
| | - James L. Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, USA
| | | | - Leah H. Rubin
- Department of Psychiatry, University of Illinois at Chicago, Chicago, USA
| | - Judith A. Badner
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, USA
| | - Matcheri S. Keshavan
- Department of Psychiatry, Harvard Medical School, Beth Israel Deacones Medical Center, Boston, USA
| | - Godfrey D. Pearlson
- Departments of Psychiatry and Neurobiology, Yale School of Medicine, and Olin Research Center, Institute of Living/Hartford Hospital, Hartford, USA
| | - Carol A. Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, USA
| | - Elliot S. Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, USA
| | | | - John A. Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, USA
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