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Hsu CW, Stahl D, Mouchlianitis E, Peters E, Vamvakas G, Keppens J, Watson M, Schmidt N, Jacobsen P, McGuire P, Shergill S, Kabir T, Hirani T, Yang Z, Yiend J. User-Centered Development of STOP (Successful Treatment for Paranoia): Material Development and Usability Testing for a Digital Therapeutic for Paranoia. JMIR Hum Factors 2023; 10:e45453. [PMID: 38064256 PMCID: PMC10746980 DOI: 10.2196/45453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 06/13/2023] [Accepted: 09/23/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Paranoia is a highly debilitating mental health condition. One novel intervention for paranoia is cognitive bias modification for paranoia (CBM-pa). CBM-pa comes from a class of interventions that focus on manipulating interpretation bias. Here, we aimed to develop and evaluate new therapy content for CBM-pa for later use in a self-administered digital therapeutic for paranoia called STOP ("Successful Treatment of Paranoia"). OBJECTIVE This study aimed to (1) take a user-centered approach with input from living experts, clinicians, and academics to create and evaluate paranoia-relevant item content to be used in STOP and (2) engage with living experts and the design team from a digital health care solutions company to cocreate and pilot-test the STOP mobile app prototype. METHODS We invited 18 people with living or lived experiences of paranoia to create text exemplars of personal, everyday emotionally ambiguous scenarios that could provoke paranoid thoughts. Researchers then adapted 240 suitable exemplars into corresponding intervention items in the format commonly used for CBM training and created 240 control items for the purpose of testing STOP. Each item included newly developed, visually enriching graphics content to increase the engagement and realism of the basic text scenarios. All items were then evaluated for their paranoia severity and readability by living experts (n=8) and clinicians (n=7) and for their item length by the research team. Items were evenly distributed into six 40-item sessions based on these evaluations. Finalized items were presented in the STOP mobile app, which was co-designed with a digital health care solutions company, living or lived experts, and the academic team; user acceptance was evaluated across 2 pilot tests involving living or lived experts. RESULTS All materials reached predefined acceptable thresholds on all rating criteria: paranoia severity (intervention items: ≥1; control items: ≤1, readability: ≥3, and length of the scenarios), and there was no systematic difference between the intervention and control group materials overall or between individual sessions within each group. For item graphics, we also found no systematic differences in users' ratings of complexity (P=.68), attractiveness (P=.15), and interest (P=.14) between intervention and control group materials. User acceptance testing of the mobile app found that it is easy to use and navigate, interactive, and helpful. CONCLUSIONS Material development for any new digital therapeutic requires an iterative and rigorous process of testing involving multiple contributing groups. Appropriate user-centered development can create user-friendly mobile health apps, which may improve face validity and have a greater chance of being engaging and acceptable to the target end users.
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Affiliation(s)
- Che-Wei Hsu
- Department of Psychological Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
| | - Daniel Stahl
- Department of Biostatistics and Health Informatics, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
| | | | - Emmanuelle Peters
- Department of Psychology, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
- South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
| | - George Vamvakas
- Department of Biostatistics and Health Informatics, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
| | - Jeroen Keppens
- Department of Informatics, King's College London, London, United Kingdom
| | - Miles Watson
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
| | - Nora Schmidt
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
| | | | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Sukhi Shergill
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
| | - Thomas Kabir
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Tia Hirani
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
| | - Ziyang Yang
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
| | - Jenny Yiend
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom
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Yiend J, Lam CLM, Schmidt N, Crane B, Heslin M, Kabir T, McGuire P, Meek C, Mouchlianitis E, Peters E, Stahl D, Trotta A, Shergill S. Cognitive bias modification for paranoia (CBM-pa): a randomised controlled feasibility study in patients with distressing paranoid beliefs. Psychol Med 2023; 53:4614-4626. [PMID: 35699135 PMCID: PMC10388312 DOI: 10.1017/s0033291722001520] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 03/30/2022] [Accepted: 05/09/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Cognitive Bias Modification for paranoia (CBM-pa) is a novel, theory-driven psychological intervention targeting the biased interpretation of emotional ambiguity associated with paranoia. Study objectives were (i) test the intervention's feasibility, (ii) provide effect size estimates, (iii) assess dose-response and (iv) select primary outcomes for future trials. METHODS In a double-blind randomised controlled trial, sixty-three outpatients with clinically significant paranoia were randomised to either CBM-pa or an active control (text reading) between April 2016 and September 2017. Patients received one 40 min session per week for 6 weeks. Assessments were given at baseline, after each interim session, post-treatment, and at 1- and 3-months post-treatment. RESULTS A total of 122 patients were screened and 63 were randomised. The recruitment rate was 51.2%, with few dropouts (four out of 63) and follow-up rates were 90.5% (1-month) and 93.7% (3-months). Each session took 30-40 min to complete. There was no statistical evidence of harmful effects of the intervention. Preliminary data were consistent with efficacy of CBM-pa over text-reading control: patients randomised to the intervention, compared to control patients, reported reduced interpretation bias (d = -0.48 to -0.76), improved symptoms of paranoia (d = -0.19 to -0.38), and lower depressed and anxious mood (d = -0.03 to -0.29). The intervention effect was evident after the third session. CONCLUSIONS CBM-pa is feasible for patients with paranoia. A fully powered randomised control trial is warranted.
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Affiliation(s)
- Jenny Yiend
- Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK
| | - Charlene L. M. Lam
- Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong
- Laboratory of Clinical Psychology and Affective Neuroscience, The University of Hong Kong, Hong Kong
| | - Nora Schmidt
- Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK
| | - Bryony Crane
- Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK
| | - Margaret Heslin
- Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK
| | | | - Philip McGuire
- Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK
| | - Christopher Meek
- Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK
| | - Elias Mouchlianitis
- Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK
| | - Emmanuelle Peters
- Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK
| | - Daniel Stahl
- Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK
| | - Antonella Trotta
- Laboratory of Clinical Psychology and Affective Neuroscience, The University of Hong Kong, Hong Kong
- South London & Maudsley NHS Foundation Trust, London, UK
| | - Sukhwinder Shergill
- Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK
- Kent and Medway Medical School, Canterbury, UK
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Merritt K, McCutcheon RA, Aleman A, Ashley S, Beck K, Block W, Bloemen OJN, Borgan F, Boules C, Bustillo JR, Capizzano AA, Coughlin JM, David A, de la Fuente-Sandoval C, Demjaha A, Dempster K, Do KQ, Du F, Falkai P, Galińska-Skok B, Gallinat J, Gasparovic C, Ginestet CE, Goto N, Graff-Guerrero A, Ho BC, Howes O, Jauhar S, Jeon P, Kato T, Kaufmann CA, Kegeles LS, Keshavan MS, Kim SY, King B, Kunugi H, Lauriello J, León-Ortiz P, Liemburg E, Mcilwain ME, Modinos G, Mouchlianitis E, Nakamura J, Nenadic I, Öngür D, Ota M, Palaniyappan L, Pantelis C, Patel T, Plitman E, Posporelis S, Purdon SE, Reichenbach JR, Renshaw PF, Reyes-Madrigal F, Russell BR, Sawa A, Schaefer M, Shungu DC, Smesny S, Stanley JA, Stone J, Szulc A, Taylor R, Thakkar KN, Théberge J, Tibbo PG, van Amelsvoort T, Walecki J, Williamson PC, Wood SJ, Xin L, Yamasue H, McGuire P, Egerton A. Variability and magnitude of brain glutamate levels in schizophrenia: a meta and mega-analysis. Mol Psychiatry 2023; 28:2039-2048. [PMID: 36806762 PMCID: PMC10575771 DOI: 10.1038/s41380-023-01991-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 01/18/2023] [Accepted: 01/31/2023] [Indexed: 02/19/2023]
Abstract
Glutamatergic dysfunction is implicated in schizophrenia pathoaetiology, but this may vary in extent between patients. It is unclear whether inter-individual variability in glutamate is greater in schizophrenia than the general population. We conducted meta-analyses to assess (1) variability of glutamate measures in patients relative to controls (log coefficient of variation ratio: CVR); (2) standardised mean differences (SMD) using Hedges g; (3) modal distribution of individual-level glutamate data (Hartigan's unimodality dip test). MEDLINE and EMBASE databases were searched from inception to September 2022 for proton magnetic resonance spectroscopy (1H-MRS) studies reporting glutamate, glutamine or Glx in schizophrenia. 123 studies reporting on 8256 patients and 7532 controls were included. Compared with controls, patients demonstrated greater variability in glutamatergic metabolites in the medial frontal cortex (MFC, glutamate: CVR = 0.15, p < 0.001; glutamine: CVR = 0.15, p = 0.003; Glx: CVR = 0.11, p = 0.002), dorsolateral prefrontal cortex (glutamine: CVR = 0.14, p = 0.05; Glx: CVR = 0.25, p < 0.001) and thalamus (glutamate: CVR = 0.16, p = 0.008; Glx: CVR = 0.19, p = 0.008). Studies in younger, more symptomatic patients were associated with greater variability in the basal ganglia (BG glutamate with age: z = -0.03, p = 0.003, symptoms: z = 0.007, p = 0.02) and temporal lobe (glutamate with age: z = -0.03, p = 0.02), while studies with older, more symptomatic patients associated with greater variability in MFC (glutamate with age: z = 0.01, p = 0.02, glutamine with symptoms: z = 0.01, p = 0.02). For individual patient data, most studies showed a unimodal distribution of glutamatergic metabolites. Meta-analysis of mean differences found lower MFC glutamate (g = -0.15, p = 0.03), higher thalamic glutamine (g = 0.53, p < 0.001) and higher BG Glx in patients relative to controls (g = 0.28, p < 0.001). Proportion of males was negatively associated with MFC glutamate (z = -0.02, p < 0.001) and frontal white matter Glx (z = -0.03, p = 0.02) in patients relative to controls. Patient PANSS total score was positively associated with glutamate SMD in BG (z = 0.01, p = 0.01) and temporal lobe (z = 0.05, p = 0.008). Further research into the mechanisms underlying greater glutamatergic metabolite variability in schizophrenia and their clinical consequences may inform the identification of patient subgroups for future treatment strategies.
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Affiliation(s)
- Kate Merritt
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK.
| | | | - André Aleman
- Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen, China
- University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Sarah Ashley
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK
| | - Katherine Beck
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Wolfgang Block
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Oswald J N Bloemen
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Faith Borgan
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Christiana Boules
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Juan R Bustillo
- Department of Psychiatry and Behavioral Sciences, Center for Psychiatric Research, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Aristides A Capizzano
- Department of Radiology, Division of Neuroradiology, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA
| | - Jennifer M Coughlin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anthony David
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK
| | - Camilo de la Fuente-Sandoval
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
- Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Arsime Demjaha
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kara Dempster
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Kim Q Do
- Center for Psychiatric Neuroscience (CNP), Department of Psychiatry, Lausanne University Hospital-CHUV, Prilly-Lausanne, Switzerland
| | - Fei Du
- Psychotic Disorders Division, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Peter Falkai
- Department of Psychiatry, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany
| | - Beata Galińska-Skok
- Department of Psychiatry, Medical University of Bialystok, Bialystok, Poland
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | | | - Cedric E Ginestet
- Department of Biostatistics and Health Informatics (S2.06), Institute of Psychiatry, Psychology and Neuroscience King's College London, London, UK
| | - Naoki Goto
- Department of Psychiatry, Kokura Gamo Hospital, Kitakyushu, Fukuoka, 8020978, Japan
| | - Ariel Graff-Guerrero
- Multimodal Neuroimaging Schizophrenia Group, Research Imaging Centre, Geriatric Mental Health Program at Centre for Addiction and Mental Health, and Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Beng-Choon Ho
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Oliver Howes
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sameer Jauhar
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Peter Jeon
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
| | - Tadafumi Kato
- Department of Psychiatry and Behavioral Science, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Charles A Kaufmann
- Department of Psychiatry, Columbia University, New York State Psychiatric Institute (NYSPI), New York, NY, USA
| | - Lawrence S Kegeles
- Columbia University, Department of Psychiatry, New York State Psychiatric Institute (NYSPI), New York, NY, USA
| | | | | | - Bridget King
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hiroshi Kunugi
- National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-0031, Japan
| | - J Lauriello
- Jefferson Health-Sidney Kimmel Medical College, Philadelphia, PA, USA
| | - Pablo León-Ortiz
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
- Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Edith Liemburg
- Rob Giel Research Center, Department of Psychiatry, University Medical Center Groningen, Groningen, the Netherlands
| | - Meghan E Mcilwain
- School of Pharmacy, University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand
| | - Gemma Modinos
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Elias Mouchlianitis
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jun Nakamura
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Dost Öngür
- Psychotic Disorders Division, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Miho Ota
- National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-0031, Japan
| | - Lena Palaniyappan
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Tulsi Patel
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK
| | - Eric Plitman
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Sotirios Posporelis
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, BR3 3BX, UK
| | - Scot E Purdon
- Neuropsychology Department, Alberta Hospital Edmonton, Edmonton, AB, Canada
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology (IDIR), Jena University Hospital, Jena, Germany
| | - Perry F Renshaw
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Francisco Reyes-Madrigal
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Bruce R Russell
- School of Pharmacy, University of Otago, Dunedin, New Zealand
| | - Akira Sawa
- Departments of Psychiatry, Neuroscience, Mental Health, Biomedical Engineering, and Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Martin Schaefer
- Department of Psychiatry, Psychotherapy, Psychosomatics and Addiction Medicine, Kliniken Essen-Mitte, Essen, Germany
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany
| | - Dikoma C Shungu
- Department of Radiology, Weill Cornell Medical College, New York City, NY, USA
| | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Jeffrey A Stanley
- Brain Imaging Research Division, Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - James Stone
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
- Brighton and Sussex Medical School, University of Sussex, Brighton, UK
| | - Agata Szulc
- Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland
| | - Reggie Taylor
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
| | - Katharine N Thakkar
- Department of Psychology, Michigan State University, East Lansing, MI, USA
- Division of Psychiatry and Behavioral Medicine, Michigan State University, East Lansing, MI, USA
| | - Jean Théberge
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
- Department of Psychiatry, Western University, London, ON, Canada
| | - Philip G Tibbo
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Thérèse van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | | | - Peter C Williamson
- Lawson Health Research Institute, London, ON, Canada
- Department of Psychiatry, Western University, London, ON, Canada
| | - Stephen J Wood
- Orygen, Melbourne, VIC, Australia
- Institute for Mental Health, University of Birmingham, Edgbaston, UK
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Lijing Xin
- Animal Imaging and Technology Core (AIT), Center for Biomedical Imaging (CIBM), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Hidenori Yamasue
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Philip McGuire
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alice Egerton
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Patchitt J, Porffy LA, Whomersley G, Szentgyorgyi T, Brett J, Mouchlianitis E, Mehta MA, Nottage JF, Shergill SS. Alpha3/alpha2 power ratios relate to performance on a virtual reality shopping task in ageing adults. Front Aging Neurosci 2022; 14:876832. [PMID: 36212034 PMCID: PMC9540381 DOI: 10.3389/fnagi.2022.876832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 07/18/2022] [Indexed: 11/18/2022] Open
Abstract
Background Aspects of cognitive function decline with age. This phenomenon is referred to as age-related cognitive decline (ARCD). Improving the understanding of these changes that occur as part of the ageing process can serve to enhance the detection of the more incapacitating neurodegenerative disorders such as Alzheimer’s disease (AD). In this study, we employ novel methods to assess ARCD by exploring the utility of the alpha3/alpha2 electroencephalogram (EEG) power ratio – a marker of AD, and a novel virtual reality (VR) functional cognition task – VStore, in discriminating between young and ageing healthy adults. Materials and methods Twenty young individuals aged 20–30, and 20 older adults aged 60–70 took part in the study. Participants underwent resting-state EEG and completed VStore and the Cogstate Computerised Cognitive Battery. The difference in alpha3/alpha2 power ratios between the age groups was tested using t-test. In addition, the discriminatory accuracy of VStore and Cogstate were compared using logistic regression and overlying receiver operating characteristic (ROC) curves. Youden’s J statistic was used to establish the optimal threshold for sensitivity and specificity and model performance was evaluated with the DeLong’s test. Finally, alpha3/alpha2 power ratios were correlated with VStote and Cogstate performance. Results The difference in alpha3/alpha2 power ratios between age cohorts was not statistically significant. On the other hand, VStore discriminated between age groups with high sensitivity (94%) and specificity (95%) The Cogstate Pre-clinical Alzheimer’s Battery achieved a sensitivity of 89% and specificity of 60%, and Cogstate Composite Score achieved a sensitivity of 83% and specificity of 85%. The differences between the discriminatory accuracy of VStore and Cogstate models were statistically significant. Finally, high alpha3/alpha2 power ratios correlated strongly with VStore (r = 0.73), the Cogstate Pre-clinical Alzheimer’s Battery (r = -0.67), and Cogstate Composite Score (r = -0.76). Conclusion While we did not find evidence that the alpha3/alpha2 power ratio is elevated in healthy ageing individuals compared to young individuals, we demonstrated that VStore can classify age cohorts with high accuracy, supporting its utility in the assessment of ARCD. In addition, we found preliminary evidence that elevated alpha3/alpha2 power ratio may be linked to lower cognitive performance.
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Affiliation(s)
- Joel Patchitt
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- Trafford Centre for Medical Research, University of Sussex, Brighton, United Kingdom
| | - Lilla A. Porffy
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- *Correspondence: Lilla A. Porffy,
| | - Gabriella Whomersley
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Timea Szentgyorgyi
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Jack Brett
- Faculty of Media and Communications, Bournemouth University, Poole, United Kingdom
| | - Elias Mouchlianitis
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- School of Psychology, University of East London, London, United Kingdom
| | - Mitul A. Mehta
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Judith F. Nottage
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- Department of Psychological Sciences, Birkbeck, University of London, London, United Kingdom
| | - Sukhi S. Shergill
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- Kent and Medway Medical School, Canterbury, United Kingdom
- Kent and Medway National Health Service and Social Care Partnership Trust, Kent, United Kingdom
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Karageorghis CI, Kuan G, Mouchlianitis E, Payre W, Howard LW, Reed N, Parkes AM. Interactive effects of task load and music tempo on psychological, psychophysiological, and behavioural outcomes during simulated driving. Ergonomics 2022; 65:915-932. [PMID: 34779716 DOI: 10.1080/00140139.2021.2003872] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 10/30/2021] [Indexed: 06/13/2023]
Abstract
We examined the interactive effects of task load and music tempo on cognition, affect, cardiac response, and safety-relevant behaviour during simulated driving. Using a counterbalanced, within-subjects design, participants (N = 46) were exposed to fast-, slow-, and no-music conditions at high and low loads in a high-grade simulator. Task load had the most salient effect across a broad swath of variables. For core affect, the Load × Music Condition interaction showed that, under high load, affective arousal scores were higher in the fast-tempo condition vs. slow. A main effect of tempo emerged for the HRV index of SDNN, with fast-tempo music eliciting lower scores than both slow- and no-music conditions. Behavioural data showed a main effect of tempo for risk ratings, with fast-tempo music eliciting the highest scores for a traffic-light trigger. Our findings indicate that drivers in high-load, urban environments should exercise caution in their use of fast-tempo music. Practitioner summary: We examined the interactive effects of task load and music tempo in simulated driving (urban and highway). Cognition, mood, cardiac response, and driving behaviour were assessed. Participants exhibited more risky behaviours in response to fast-tempo music. Drivers should exercise caution in their use of up-tempo music in urban settings.
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Affiliation(s)
| | - Garry Kuan
- Department of Life Sciences, Brunel University London, Middlesex, UK
- School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
| | - Elias Mouchlianitis
- Department of Life Sciences, Brunel University London, Middlesex, UK
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - William Payre
- Institute for Future Transport and Cities, Coventry University, Coventry, UK
| | - Luke W Howard
- Department of Life Sciences, Brunel University London, Middlesex, UK
| | | | - Andrew M Parkes
- Faculty of Art, Design and Architecture, Monash University, Melbourne, Australia
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Porffy LA, Mehta MA, Patchitt J, Boussebaa C, Brett J, D'Oliveira T, Mouchlianitis E, Shergill SS. A Novel Virtual Reality Assessment of Functional Cognition: Validation Study. J Med Internet Res 2022; 24:e27641. [PMID: 35080501 PMCID: PMC8829700 DOI: 10.2196/27641] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 07/05/2021] [Accepted: 10/05/2021] [Indexed: 01/29/2023] Open
Abstract
Background Cognitive deficits are present in several neuropsychiatric disorders, including Alzheimer disease, schizophrenia, and depression. Assessments used to measure cognition in these disorders are time-consuming, burdensome, and have low ecological validity. To address these limitations, we developed a novel virtual reality shopping task—VStore. Objective This study aims to establish the construct validity of VStore in relation to the established computerized cognitive battery, Cogstate, and explore its sensitivity to age-related cognitive decline. Methods A total of 142 healthy volunteers aged 20-79 years participated in the study. The main VStore outcomes included verbal recall of 12 grocery items, time to collect items, time to select items on a self-checkout machine, time to make the payment, time to order coffee, and total completion time. Construct validity was examined through a series of backward elimination regression models to establish which Cogstate tasks, measuring attention, processing speed, verbal and visual learning, working memory, executive function, and paired associate learning, in addition to age and technological familiarity, best predicted VStore performance. In addition, 2 ridge regression and 2 logistic regression models supplemented with receiver operating characteristic curves were built, with VStore outcomes in the first model and Cogstate outcomes in the second model entered as predictors of age and age cohorts, respectively. Results Overall VStore performance, as indexed by the total time spent completing the task, was best explained by Cogstate tasks measuring attention, working memory, paired associate learning, and age and technological familiarity, accounting for 47% of the variance. In addition, with λ=5.16, the ridge regression model selected 5 parameters for VStore when predicting age (mean squared error 185.80, SE 19.34), and with λ=9.49 for Cogstate, the model selected all 8 tasks (mean squared error 226.80, SE 23.48). Finally, VStore was found to be highly sensitive (87%) and specific (91.7%) to age cohorts, with 94.6% of the area under the receiver operating characteristic curve. Conclusions Our findings suggest that VStore is a promising assessment that engages standard cognitive domains and is sensitive to age-related cognitive decline.
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Affiliation(s)
- Lilla Alexandra Porffy
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Mitul A Mehta
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Joel Patchitt
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.,Trafford Centre for Medical Research, University of Sussex, Brighton, United Kingdom
| | - Celia Boussebaa
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Jack Brett
- Faculty of Media and Communications, Bournemouth University, Bournemouth, United Kingdom
| | - Teresa D'Oliveira
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | | | - Sukhi S Shergill
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.,Kent and Medway Medical School, Canterbuy, United Kingdom.,Kent and Medway National Heath Service and Social Care Partnership Trust, Gillingham, United Kingdom
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7
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Karageorghis CI, Payre W, Howard LW, Kuan G, Mouchlianitis E, Reed N, Parkes AM. Influence of music on driver psychology and safety-relevant behaviours: a multi-study inductive content analysis. Theoretical Issues in Ergonomics Science 2021. [DOI: 10.1080/1463922x.2021.2009933] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
| | - William Payre
- National Transport Design Centre, Coventry University, Coventry, UK
| | - Luke W. Howard
- Department of Life Sciences, Brunel University London, Uxbridge, UK
| | - Garry Kuan
- Department of Life Sciences, Brunel University London, Uxbridge, UK
- School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, Malaysia
| | | | | | - Andrew M. Parkes
- Faculty of Art, Design and Architecture, Monash University, Clayton, Australia
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8
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Karageorghis CI, Mouchlianitis E, Payre W, Kuan G, Howard LW, Reed N, Parkes AM. Psychological, psychophysiological and behavioural effects of participant-selected vs. researcher-selected music in simulated urban driving. Appl Ergon 2021; 96:103436. [PMID: 34087703 DOI: 10.1016/j.apergo.2021.103436] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 03/25/2021] [Accepted: 04/13/2021] [Indexed: 06/12/2023]
Abstract
We investigated the effect of participant-selected (PSel) and researcher-selected (RSel) music on urban driving behaviour in young men (N = 27; Mage = 20.6 years, SD = 1.9 years). A counterbalanced, within-subjects design was used with four simulated driving conditions: PSel fast-tempo music, PSel slow-tempo music, RSel music and an urban traffic-noise control. The between-subjects variable of personality (introverts vs. extroverts) was explored. The presence of PSel slow-tempo music and RSel music optimised affective valence and arousal for urban driving. NASA Task Load Index scores indicated that the urban traffic-noise control increased mental demand compared to PSel slow-tempo music. In the PSel slow-tempo condition, less use was made of the brake pedal. When compared to extroverts, introverts recorded lower mean speed and attracted lower risk ratings under PSel slow-tempo music. The utility of PSel slow-tempo and RSel music was demonstrated in terms of optimising affective state for simulated urban driving.
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Affiliation(s)
| | - Elias Mouchlianitis
- Department of Life Sciences, Brunel University London, United Kingdom; Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | - William Payre
- Institute for Future Transport and Cities, Coventry University, United Kingdom
| | - Garry Kuan
- Department of Life Sciences, Brunel University London, United Kingdom; School of Health Sciences, Universiti Sains Malaysia, Malaysia
| | - Luke W Howard
- Department of Life Sciences, Brunel University London, United Kingdom
| | | | - Andrew M Parkes
- Faculty of Art, Design and Architecture, Monash University, Australia
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9
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Horne CM, Vanes LD, Verneuil T, Mouchlianitis E, Szentgyorgyi T, Averbeck B, Leech R, Moran RJ, Shergill SS. Cognitive control network connectivity differentially disrupted in treatment resistant schizophrenia. Neuroimage Clin 2021; 30:102631. [PMID: 33799270 PMCID: PMC8044714 DOI: 10.1016/j.nicl.2021.102631] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 03/01/2021] [Accepted: 03/09/2021] [Indexed: 11/04/2022]
Abstract
Mechanisms underlying treatment-resistant schizophrenia are unclear. Effective connectivity within cortico-striatal network differentially disrupted in resistant patients. Resistance associated with lack of top-down control and aberrant glutamate function. We suggest a subtype of schizophrenia with distinct neurobiological mechanism. Results are important for guiding treatment strategies and developing new drugs.
Antipsychotic treatment resistance affects a third of people with schizophrenia and the underlying mechanism remains unclear. We used an fMRI emotion-yoked reward learning task, allied to prefrontal cortical glutamate levels, to explain the role of cognitive control in differentiating treatment-resistant from responsive patients. We investigated how reward learning is disrupted at the network level in 21 medicated treatment-responsive and 20 medicated treatment-resistant patients with schizophrenia compared with 24 healthy controls (HC). Dynamic Causal Modelling assessed how effective connectivity between regions in a cortico-striatal-limbic network is disrupted in each patient group compared to HC. Connectivity was also examined with respect to symptoms, salience and anterior cingulate (ACC) glutamate levels measured from the same region of the ACC. We found that ACC connectivity differentiated these patient groups, with responsive patients exhibiting increased top-down connectivity from ACC to sensory regions and reduced ACC drive to the striatum, while resistant patients showed altered connectivity within the ACC itself. In these resistant patients, the ACC drive to striatum was positively correlated with their symptom severity. ACC glutamate levels were found to correlate with ACC control over sensory regions in responsive patients but not in resistant patients. We suggest a central non-dopaminergic impairment that impacts cognitive control networks in treatment-resistant schizophrenia. This impairment was associated with disrupted reward learning and could be underpinned by aberrant glutamate function. These findings should form the focus of future treatment strategies (e.g. glutamatergic targets and giving clozapine earlier) in resistant patients.
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Affiliation(s)
- Charlotte M Horne
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom.
| | - Lucy D Vanes
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom
| | - Tess Verneuil
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom
| | - Elias Mouchlianitis
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom
| | - Timea Szentgyorgyi
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom
| | - Bruno Averbeck
- Laboratory of Neuropsychology, National Institute for Mental Health Bethesda, BETHESDA, MD 20814, USA
| | - Robert Leech
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom
| | - Rosalyn J Moran
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom
| | - Sukhwinder S Shergill
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom
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10
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Lam CL, Mouchlianitis E, Lee TM, Yiend J. Anxiety mediates the relationship between interpretation bias and paranoia in patients with persistent persecutory beliefs. Anxiety, Stress, & Coping 2020; 34:96-106. [DOI: 10.1080/10615806.2020.1802435] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Affiliation(s)
- Charlene L.M. Lam
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, Hong Kong
- Laboratory of Neuropsychology, The University of Hong Kong, Hong Kong, Hong Kong
| | - Elias Mouchlianitis
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Tatia M.C. Lee
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, Hong Kong
- Laboratory of Neuropsychology, The University of Hong Kong, Hong Kong, Hong Kong
- Center for Brain Science and Brain-Inspired Intelligence, Guangdong-Hong Kong-Macao Greater Bay Area, Guangzhou, People’s Republic of China
| | - Jenny Yiend
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
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11
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Papanastasiou E, Mouchlianitis E, Joyce DW, McGuire P, Boussebaa C, Banaschewski T, Bokde ALW, Büchel C, Quinlan E, Desrivières S, Flor H, Grigis A, Garavan H, Spechler P, Gowland P, Heinz A, Ittermann B, Martinot MLP, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Shergill SS. Examination of the neural basis of psychotic-like experiences in adolescence during processing of emotional faces. Sci Rep 2020; 10:5164. [PMID: 32198484 PMCID: PMC7083946 DOI: 10.1038/s41598-020-62026-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 02/24/2020] [Indexed: 01/28/2023] Open
Abstract
Contemporary theories propose that dysregulation of emotional perception is involved in the aetiology of psychosis. 298 healthy adolescents were assessed at age 14- and 19-years using fMRI while performing a facial emotion task. Psychotic-like experiences (PLEs) were assessed with the CAPE-42 questionnaire at age 19. The high PLEs group at age 19 years exhibited an enhanced response in right insular cortex and decreased response in right prefrontal, right parahippocampal and left striatal regions; also, a gradient of decreasing response to emotional faces with age, from 14 to 19 years, in the right parahippocampal region and left insular cortical area. The right insula demonstrated an increasing response to emotional faces with increasing age in the low PLEs group, and a decreasing response over time in the high PLEs group. The change in parahippocampal/amygdala and insula responses during the perception of emotional faces in adolescents with high PLEs between the ages of 14 and 19 suggests a potential 'aberrant' neurodevelopmental trajectory for critical limbic areas. Our findings emphasize the role of the frontal and limbic areas in the aetiology of psychotic symptoms, in subjects without the illness phenotype and the confounds introduced by antipsychotic medication.
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Affiliation(s)
- Evangelos Papanastasiou
- Cognition Schizophrenia and Imaging Laboratory, Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, United Kingdom.
| | - Elias Mouchlianitis
- Cognition Schizophrenia and Imaging Laboratory, Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Dan W Joyce
- Cognition Schizophrenia and Imaging Laboratory, Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Celia Boussebaa
- Cognition Schizophrenia and Imaging Laboratory, Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Christian Büchel
- Department of Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Erin Quinlan
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
- Medical Research Council, Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
- Medical Research Council, Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, Vermont, USA
- Department of Psychology, University of Vermont, Burlington, Vermont, USA
| | - Philip Spechler
- Department of Psychiatry, University of Vermont, Burlington, Vermont, USA
- Department of Psychology, University of Vermont, Burlington, Vermont, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | | | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, Neuroimaging & Psychiatry, University Paris Sud - Paris-Saclay, University Paris Descartes, Paris, France
- Department of Adolescent Psychopathology and Medicine, Maison de Solenn, Cochin Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, Neuroimaging & Psychiatry, DIGITEO Labs, University Paris Saclay, Gif-sur-Yvette, France
- Psychiatry Department, Orsay Hospital, Orsay, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Tomáš Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital and Departments of Psychology and Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
- Clinic for Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Centre, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Centre, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Sukhwinder S Shergill
- Cognition Schizophrenia and Imaging Laboratory, Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom
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12
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Fett AKJ, Mouchlianitis E, Gromann PM, Vanes L, Shergill SS, Krabbendam L. The neural mechanisms of social reward in early psychosis. Soc Cogn Affect Neurosci 2020; 14:861-870. [PMID: 31506672 PMCID: PMC6847053 DOI: 10.1093/scan/nsz058] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 05/08/2019] [Accepted: 07/23/2019] [Indexed: 12/28/2022] Open
Abstract
In chronic psychosis, reduced trust is associated with a neural insensitivity to social reward and reduced theory of mind (ToM). Here we investigate whether these mechanisms could underlie emerging social impairments in early psychosis. Twenty-two participants with early psychosis and 25 controls (male, 13–19 years) participated in two interactive trust games against a cooperative and unfair partner. Region of interest neuroimaging analyses included right caudate, medial prefrontal cortex (mPFC) and right temporoparietal junction (rTPJ), involved in reward and ToM processing. Both groups showed similar levels of trust (i.e. investments). However, individuals with psychosis failed to activate the caudate differentially in response to cooperation and unfairness while making decisions to trust. During cooperative returns, patients showed reduced and controls increased caudate activation. Patients demonstrated greater rTPJ activation than controls, possibly pointing towards compensatory mechanisms. Effects were associated with Wechsler Abbreviated Scale of Intelligence vocabulary scores. No group differences emerged in mPFC activation. Early psychosis is associated with an aberrant neural sensitivity to social reward. This could foster reduced social motivation and social isolation. Absent behavioural differences in early, relative to chronic psychosis could indicate that trust is achieved through increased compensatory demand on ToM.
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Affiliation(s)
- Anne-Kathrin J Fett
- Department of Psychology, City University of London, London ECIV 0HB, United Kingdom.,King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, De Crespigny Park, SE5 8AF, London, United Kingdom.,Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, United Kingdom
| | - Elias Mouchlianitis
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, De Crespigny Park, SE5 8AF, London, United Kingdom
| | - Paula M Gromann
- Department of Psychology, City University of London, London ECIV 0HB, United Kingdom
| | - Lucy Vanes
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, De Crespigny Park, SE5 8AF, London, United Kingdom.,Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, United Kingdom
| | - Sukhi S Shergill
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, De Crespigny Park, SE5 8AF, London, United Kingdom
| | - Lydia Krabbendam
- Department of Developmental and Clinical Psychology, Faculty of Behavioural and Movement Sciences, VU Amsterdam, Van der Boechorststraat 1s, 1081 BT Amsterdam, the Netherlands
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13
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Vanes LD, Mouchlianitis E, Patel K, Barry E, Wong K, Thomas M, Szentgyorgyi T, Joyce D, Shergill S. Neural correlates of positive and negative symptoms through the illness course: an fMRI study in early psychosis and chronic schizophrenia. Sci Rep 2019; 9:14444. [PMID: 31595009 PMCID: PMC6783468 DOI: 10.1038/s41598-019-51023-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 09/23/2019] [Indexed: 12/14/2022] Open
Abstract
Psychotic illness is associated with cognitive control deficits and abnormal recruitment of neural circuits subserving cognitive control. It is unclear to what extent this dysfunction underlies the development and/or maintenance of positive and negative symptoms typically observed in schizophrenia. In this study we compared fMRI activation on a standard Stroop task and its relationship with positive and negative symptoms in early psychosis (EP, N = 88) and chronic schizophrenia (CHR-SZ, N = 38) patients. CHR-SZ patients showed reduced frontal, striatal, and parietal activation across incongruent and congruent trials compared to EP patients. Higher positive symptom severity was associated with reduced activation across both trial types in supplementary motor area (SMA), middle temporal gyrus and cerebellum in EP, but not CHR-SZ patients. Higher negative symptom severity was associated with reduced cerebellar activation in EP, but not in CHR-SZ patients. A negative correlation between negative symptoms and activation in SMA and precentral gyrus was observed in EP patients and in CHR-SZ patients. The results suggest that the neural substrate of positive symptoms changes with illness chronicity, and that cognitive control related neural circuits may be most relevant in the initial development phase of positive symptoms. These findings also highlight a changing role for the cerebellum in the development and later maintenance of both positive and negative symptoms.
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Affiliation(s)
- Lucy D Vanes
- Wellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London, WC1N 3AR, United Kingdom.
| | - Elias Mouchlianitis
- Institute of Psychiatry, Psychology and Neuroscience, de Crespigny Park, London, SE5 8AF, United Kingdom
| | - Krisna Patel
- Institute of Psychiatry, Psychology and Neuroscience, de Crespigny Park, London, SE5 8AF, United Kingdom
| | - Erica Barry
- Institute Department of Clinical Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Katie Wong
- Institute of Psychiatry, Psychology and Neuroscience, de Crespigny Park, London, SE5 8AF, United Kingdom
| | - Megan Thomas
- Institute of Psychiatry, Psychology and Neuroscience, de Crespigny Park, London, SE5 8AF, United Kingdom
| | - Timea Szentgyorgyi
- Institute of Psychiatry, Psychology and Neuroscience, de Crespigny Park, London, SE5 8AF, United Kingdom
| | - Dan Joyce
- Institute of Psychiatry, Psychology and Neuroscience, de Crespigny Park, London, SE5 8AF, United Kingdom
| | - Sukhwinder Shergill
- Institute of Psychiatry, Psychology and Neuroscience, de Crespigny Park, London, SE5 8AF, United Kingdom
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14
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Leung CJ, Fosuaah A, Frerichs J, Heslin M, Kabir T, Lee TMC, McGuire P, Meek C, Mouchlianitis E, Nath AS, Peters E, Shergill S, Stahl D, Trotta A, Yiend J. A qualitative study of the acceptability of cognitive bias modification for paranoia (CBM-pa) in patients with psychosis. BMC Psychiatry 2019; 19:225. [PMID: 31337373 PMCID: PMC6651961 DOI: 10.1186/s12888-019-2215-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Accepted: 07/17/2019] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Cognitive Bias Modification (CBM) has been used successfully as a computer-based intervention in disorders such as anxiety. However, CBM to modify interpretations of ambiguous information relevant to paranoia has not yet been tested. We conducted a qualitative investigation of a novel intervention called CBM for paranoia (CBM-pa) to examine its acceptability in patients with psychosis. METHODS Eight participants with psychosis who completed CBM-pa were identified by purposive sampling and invited for a semi-structured interview to explore the facilitators and barriers to participation, optimum form of delivery, perceived usefulness of CBM-pa and their opinions on applying CBM-pa as a computerised intervention. The interviews were transcribed and analysed using thematic analysis by researchers working in collaboration with service users. RESULTS Themes emerged relating to participants' perception about delivery, engagement, programme understanding, factors influencing experience, perceived impact and application of CBM-pa. CBM-pa was regarded as easy, straightforward and enjoyable. It was well-accepted among those we interviewed, who understood the procedure as a psychological intervention. Patients reported that it increased their capacity for adopting alternative interpretations of emotionally ambiguous scenarios. Although participants all agreed on the test-like nature of the current CBM-pa format, they considered that taking part in sessions had improved their overall wellbeing. Most of them valued the computer-based interface of CBM-pa but favoured the idea of combining CBM-pa with some form of human interaction. CONCLUSIONS CBM-pa is an acceptable intervention that was well-received by our sample of patients with paranoia. The current findings reflect positively on the acceptability and experience of CBM-pa in the target population. Patient opinion supports further development and testing of CBM-pa as a possible adjunct treatment for paranoia. TRIAL REGISTRATION Current Controlled Trials ISRCTN: 90749868 . Retrospectively registered on 12 May 2016.
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Affiliation(s)
- C. J. Leung
- 0000 0001 2322 6764grid.13097.3cDepartment of Psychosis Studies, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK ,0000000121742757grid.194645.bLaboratory of Neuropsychology, The University of Hong Kong, Hongkong, Hong Kong
| | - A. Fosuaah
- 0000 0001 2322 6764grid.13097.3cDepartment of Psychosis Studies, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - J. Frerichs
- grid.490917.2The McPin Foundation, London, UK
| | - M. Heslin
- 0000 0001 2322 6764grid.13097.3cHealth Service and Population Research Department, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - T. Kabir
- grid.490917.2The McPin Foundation, London, UK
| | - T. M. C. Lee
- 0000000121742757grid.194645.bLaboratory of Neuropsychology, The University of Hong Kong, Hongkong, Hong Kong ,0000000121742757grid.194645.bThe State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hongkong, Hong Kong
| | - P. McGuire
- 0000 0001 2322 6764grid.13097.3cDepartment of Psychosis Studies, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK ,0000 0001 2324 5535grid.415717.1South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, Kent, BR3 3BX UK
| | - C. Meek
- 0000 0001 2322 6764grid.13097.3cDepartment of Psychosis Studies, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - E. Mouchlianitis
- 0000 0001 2322 6764grid.13097.3cDepartment of Psychosis Studies, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - A. S. Nath
- 0000 0001 2322 6764grid.13097.3cDepartment of Psychosis Studies, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - E. Peters
- 0000 0001 2324 5535grid.415717.1South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, Kent, BR3 3BX UK ,0000 0001 2322 6764grid.13097.3cDepartment of Psychology, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - S. Shergill
- 0000 0001 2322 6764grid.13097.3cDepartment of Psychosis Studies, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK ,0000 0001 2324 5535grid.415717.1South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, Kent, BR3 3BX UK
| | - D. Stahl
- 0000 0001 2322 6764grid.13097.3cDepartment of Biostatistics, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - A. Trotta
- 0000 0001 2322 6764grid.13097.3cDepartment of Psychosis Studies, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - J. Yiend
- 0000 0001 2322 6764grid.13097.3cDepartment of Psychosis Studies, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
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15
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Barry EF, Vanes LD, Andrews DS, Patel K, Horne CM, Mouchlianitis E, Hellyer PJ, Shergill SS. Mapping cortical surface features in treatment resistant schizophrenia with in vivo structural MRI. Psychiatry Res 2019; 274:335-344. [PMID: 30851596 DOI: 10.1016/j.psychres.2019.02.028] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 02/12/2019] [Accepted: 02/12/2019] [Indexed: 12/16/2022]
Abstract
Decreases in cortical volume (CV), thickness (CT) and surface area (SA) have been reported in individuals with schizophrenia by in vivo MRI studies. However, there are few studies that examine these cortical measures as potential biomarkers of treatment resistance (TR) and treatment response (NTR) in schizophrenia. This study used structural MRI to examine differences in CV, CT, and SA in 42 adults with schizophrenia (TR = 21, NTR = 21) and 23 healthy controls (HC) to test the hypothesis that individuals with TR schizophrenia have significantly greater reductions in these cortical measures compared to individuals with NTR schizophrenia. We found that individuals with TR schizophrenia showed significant reductions in CV and CT compared to individuals with NTR schizophrenia in right frontal and precentral regions, right parietal and occipital cortex, left temporal cortex and bilateral cingulate cortex. In line with previous literature, the temporal lobe and cingulate gyrus in both patient groups showed significant reductions of all three measures when compared to healthy controls. Taken together these results suggest that regional changes in CV and CT may index mechanisms specific to TR schizophrenia and potentially identify patients with TR schizophrenia for earlier treatment.
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Affiliation(s)
- Erica F Barry
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Department of Clinical Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Lucy D Vanes
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Derek S Andrews
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Krisna Patel
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Charlotte M Horne
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
| | - Elias Mouchlianitis
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Peter J Hellyer
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Sukhi S Shergill
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
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16
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Papanastasiou E, Mouchlianitis E, Joyce DW, McGuire P, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Desrivières S, Flor H, Frouin V, Garavan H, Spechler P, Gowland P, Heinz A, Ittermann B, Martinot JL, Paillère Martinot ML, Artiges E, Nees F, Papadopoulos Orfanos D, Poustka L, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Shergill S. Examination of the Neural Basis of Psychoticlike Experiences in Adolescence During Reward Processing. JAMA Psychiatry 2018; 75:1043-1051. [PMID: 30073329 PMCID: PMC6233806 DOI: 10.1001/jamapsychiatry.2018.1973] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
IMPORTANCE Psychoticlike experiences (PLEs) are subclinical manifestations of psychotic symptoms and may reflect an increased vulnerability to psychotic disorders. Contemporary models of psychosis propose that dysfunctional reward processing is involved in the cause of these clinical illnesses. OBJECTIVE To examine the neuroimaging profile of healthy adolescents at 14 and 19 years old points with PLEs, using a reward task. DESIGN, SETTING, AND PARTICIPANTS A community-based cohort study, using both a cross-sectional and longitudinal design, was conducted in academic centers in London, Nottingham, United Kingdom, and Dublin, Ireland; Paris, France; and Berlin, Hamburg, Mannheim, and Dresden, Germany. A group of 1434 healthy adolescent volunteers was evaluated, and 2 subgroups were assessed at ages 14 and 19 years. Those who scored as either high or low PLE (based on the upper and lower deciles) on the Community Assessment of Psychic Experiences Questionnaire (CAPE-42) at age 19 years were included in the analysis. The study was conducted from January 1, 2016, to January 1, 2017. MAIN OUTCOMES AND MEASURES Participants were assessed at age 14 and 19 year points using functional magnetic resonance imaging while performing a monetary incentive delay reward task. A first-level model focused on 2 predefined contrasts of anticipation and feedback of a win. The second-level analysis examined activation within the reward network using an a priori-defined region of interest approach. The main effects of group, time, and their interaction on brain activation were examined. RESULTS Of the 1434 adolescents, 2 groups (n = 149 each) (high PLEs, n = 149, 50 [33.6%] male; low PLEs, n = 149, 84 [56.4%] male) were compared at ages 14 and 19 years. Two regions within the left and right middle frontal gyri showed a main effect of time on brain activation (F1, 93 = 5.559; P = .02; F1, 93 = 5.009; P = .03, respectively); there was no main effect of group. One region within the right middle frontal gyrus demonstrated a significant time × group interaction (F1, 93 = 7.448; P = .01). CONCLUSION AND RELEVANCE The findings are consistent with evidence implicating alterations in prefrontal and striatal function during reward processing in the etiology of psychosis. Given the nature of this nonclinical sample this may reflect a combination of aberrant salience yielding abnormal experiences and a compensatory cognitive control mechanism necessary to contextualize them.
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Affiliation(s)
- Evangelos Papanastasiou
- Cognition Schizophrenia and Imaging Laboratory, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Elias Mouchlianitis
- Cognition Schizophrenia and Imaging Laboratory, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Dan W. Joyce
- Cognition Schizophrenia and Imaging Laboratory, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun L. W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Uli Bromberg
- Department of Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Büchel
- Department of Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Erin Burke Quinlan
- Centre for Population Neuroscience and Stratified Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,Medical Research Council, Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Stratified Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,Medical Research Council, Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany,Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Vincent Frouin
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington,Department of Psychology, University of Vermont, Burlington
| | - Philip Spechler
- Department of Psychiatry, University of Vermont, Burlington,Department of Psychology, University of Vermont, Burlington
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | | | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, Neuroimaging & Psychiatry, University Paris Saclay, DIGITEO Labs, Gif sur Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, Neuroimaging & Psychiatry, University Paris Sud – Paris Saclay, University Paris Descartes, Paris, France,Department of Adolescent Psychopathology and Medicine, Maison de Solenn, Cochin Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, Neuroimaging & Psychiatry, University Paris Saclay, DIGITEO Labs, Gif sur Yvette, France,Psychiatry Department, Orsay Hospital, Orsay, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany,Clinic for Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Juliane H. Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Sukhwinder Shergill
- Cognition Schizophrenia and Imaging Laboratory, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
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17
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Abstract
BACKGROUND The significant proportion of schizophrenia patients refractory to treatment, primarily directed at the dopamine system, suggests that multiple mechanisms may underlie psychotic symptoms. Reinforcement learning tasks have been employed in schizophrenia to assess dopaminergic functioning and reward processing, but these have not directly compared groups of treatment-refractory and non-refractory patients. METHODS In the current functional magnetic resonance imaging study, 21 patients with treatment-resistant schizophrenia (TRS), 21 patients with non-treatment-resistant schizophrenia (NTR), and 24 healthy controls (HC) performed a probabilistic reinforcement learning task, utilizing emotionally valenced face stimuli which elicit a social bias toward happy faces. Behavior was characterized with a reinforcement learning model. Trial-wise reward prediction error (RPE)-related neural activation and the differential impact of emotional bias on these reward signals were compared between groups. RESULTS Patients showed impaired reinforcement learning relative to controls, while all groups demonstrated an emotional bias favoring happy faces. The pattern of RPE signaling was similar in the HC and TRS groups, whereas NTR patients showed significant attenuation of RPE-related activation in striatal, thalamic, precentral, parietal, and cerebellar regions. TRS patients, but not NTR patients, showed a positive relationship between emotional bias and RPE signal during negative feedback in bilateral thalamus and caudate. CONCLUSION TRS can be dissociated from NTR on the basis of a different neural mechanism underlying reinforcement learning. The data support the hypothesis that a favorable response to antipsychotic treatment is contingent on dopaminergic dysfunction, characterized by aberrant RPE signaling, whereas treatment resistance may be characterized by an abnormality of a non-dopaminergic mechanism - a glutamatergic mechanism would be a possible candidate.
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Affiliation(s)
- Lucy D Vanes
- Institute of Psychiatry, Psychology and Neuroscience,de Crespigny Park,London, SE5 8AF,UK
| | - Elias Mouchlianitis
- Institute of Psychiatry, Psychology and Neuroscience,de Crespigny Park,London, SE5 8AF,UK
| | - Tracy Collier
- Institute of Psychiatry, Psychology and Neuroscience,de Crespigny Park,London, SE5 8AF,UK
| | - Bruno B Averbeck
- Unit on Learning and Decision Making, Laboratory of Neuropsychology,NIMH,NIH, Bethesda, MD 20892,USA
| | - Sukhi S Shergill
- Institute of Psychiatry, Psychology and Neuroscience,de Crespigny Park,London, SE5 8AF,UK
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18
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Bloomfield MAP, Mouchlianitis E, Morgan CJA, Freeman TP, Curran HV, Roiser JP, Howes OD. Salience attribution and its relationship to cannabis-induced psychotic symptoms. Psychol Med 2016; 46:3383-3395. [PMID: 27628967 PMCID: PMC5122315 DOI: 10.1017/s0033291716002051] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 07/22/2016] [Accepted: 07/25/2016] [Indexed: 12/16/2022]
Abstract
BACKGROUND Cannabis is a widely used drug associated with increased risk for psychosis. The dopamine hypothesis of psychosis postulates that altered salience processing leads to psychosis. We therefore tested the hypothesis that cannabis users exhibit aberrant salience and explored the relationship between aberrant salience and dopamine synthesis capacity. METHOD We tested 17 cannabis users and 17 age- and sex-matched non-user controls using the Salience Attribution Test, a probabilistic reward-learning task. Within users, cannabis-induced psychotic symptoms were measured with the Psychotomimetic States Inventory. Dopamine synthesis capacity, indexed as the influx rate constant K i cer , was measured in 10 users and six controls with 3,4-dihydroxy-6-[18F]fluoro-l-phenylalanine positron emission tomography. RESULTS There was no significant difference in aberrant salience between the groups [F 1,32 = 1.12, p = 0.30 (implicit); F 1,32 = 1.09, p = 0.30 (explicit)]. Within users there was a significant positive relationship between cannabis-induced psychotic symptom severity and explicit aberrant salience scores (r = 0.61, p = 0.04) and there was a significant association between cannabis dependency/abuse status and high implicit aberrant salience scores (F 1,15 = 5.8, p = 0.03). Within controls, implicit aberrant salience was inversely correlated with whole striatal dopamine synthesis capacity (r = -0.91, p = 0.01), whereas this relationship was non-significant within users (difference between correlations: Z = -2.05, p = 0.04). CONCLUSIONS Aberrant salience is positively associated with cannabis-induced psychotic symptom severity, but is not seen in cannabis users overall. This is consistent with the hypothesis that the link between cannabis use and psychosis involves alterations in salience processing. Longitudinal studies are needed to determine whether these cognitive abnormalities are pre-existing or caused by long-term cannabis use.
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Affiliation(s)
- M. A. P. Bloomfield
- Psychiatric Imaging Group,
MRC Clinical Sciences Centre, Institute of Clinical Sciences, Hammersmith
Hospital, Imperial College London, Du Cane Road,
London W12 0NN, UK
- Department of Psychosis Studies,
Institute of Psychiatry, Psychology & Neuroscience, King's College
London, De Crespigny Park, London SE5
8AF, UK
- Division of Psychiatry,
University College London, 6th Floor Maple
House, 149 Tottenham Court Road, London W1T
7NF, UK
| | - E. Mouchlianitis
- Psychiatric Imaging Group,
MRC Clinical Sciences Centre, Institute of Clinical Sciences, Hammersmith
Hospital, Imperial College London, Du Cane Road,
London W12 0NN, UK
- Department of Psychosis Studies,
Institute of Psychiatry, Psychology & Neuroscience, King's College
London, De Crespigny Park, London SE5
8AF, UK
| | - C. J. A. Morgan
- Clinical Psychopharmacology Unit,
Research Department of Clinical, Educational and Health
Psychology, University College London,
4th Floor, 1–19 Torrington Place,
London WC1E 7HB, UK
- Washington Singer Laboratories,
Department of Psychology, University of
Exeter, Exeter EX4 4QG, UK
| | - T. P. Freeman
- Clinical Psychopharmacology Unit,
Research Department of Clinical, Educational and Health
Psychology, University College London,
4th Floor, 1–19 Torrington Place,
London WC1E 7HB, UK
| | - H. V. Curran
- Clinical Psychopharmacology Unit,
Research Department of Clinical, Educational and Health
Psychology, University College London,
4th Floor, 1–19 Torrington Place,
London WC1E 7HB, UK
| | - J. P. Roiser
- Institute of Cognitive Neuroscience,
University College London, 17 Queen
Square, London WC1N 3AR, UK
| | - O. D. Howes
- Psychiatric Imaging Group,
MRC Clinical Sciences Centre, Institute of Clinical Sciences, Hammersmith
Hospital, Imperial College London, Du Cane Road,
London W12 0NN, UK
- Department of Psychosis Studies,
Institute of Psychiatry, Psychology & Neuroscience, King's College
London, De Crespigny Park, London SE5
8AF, UK
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19
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Mouchlianitis E, McCutcheon R, Howes OD. Brain-imaging studies of treatment-resistant schizophrenia: a systematic review. Lancet Psychiatry 2016; 3:451-63. [PMID: 26948188 PMCID: PMC5796640 DOI: 10.1016/s2215-0366(15)00540-4] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 11/22/2015] [Accepted: 11/23/2015] [Indexed: 02/05/2023]
Abstract
Around 30% of patients with schizophrenia show an inadequate response to antipsychotics-ie, treatment resistance. Neuroimaging studies can help to uncover the underlying neurobiological reasons for such resistance and identify these patients earlier. Additionally, studies examining the effect of clozapine on the brain can help to identify aspects of clozapine that make it uniquely effective in patients with treatment resistance. We did a systematic search of PubMed between Jan 1, 1980, and April 13, 2015, to identify all neuroimaging studies that examined treatment-resistant patients or longitudinally assessed the effects of clozapine treatment. We identified 330 articles, of which 61 met the inclusion criteria. Replicated differences between treatment-resistant and treatment-responsive patients include reductions in grey matter and perfusion of frontotemporal regions, and increases in white matter and basal ganglia perfusion, with effect sizes ranging from 0·4 to greater than 1. Clozapine treatment led to reductions in caudate nucleus volume in three separate studies. The available evidence supports the hypothesis that some of the neurobiological changes seen in treatment-resistant schizophrenia lie along a continuum with treatment-responsive schizophrenia, whereas other differences are categorical in nature and have potential to be used as biomarkers. However, further replication is needed, and for neuroimaging findings to be clinically translatable, future studies need to focus on a-priori hypotheses and be adequately powered.
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Affiliation(s)
- Elias Mouchlianitis
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK
| | - Robert McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK; Psychiatric Imaging Group, Medical Research Council Clinical Sciences Centre, Institute of Clinical Science, Imperial College London, London, UK.
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK; Psychiatric Imaging Group, Medical Research Council Clinical Sciences Centre, Institute of Clinical Science, Imperial College London, London, UK
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20
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Mouchlianitis E, Bloomfield MAP, Law V, Beck K, Selvaraj S, Rasquinha N, Waldman A, Turkheimer FE, Egerton A, Stone J, Howes OD. Treatment-Resistant Schizophrenia Patients Show Elevated Anterior Cingulate Cortex Glutamate Compared to Treatment-Responsive. Schizophr Bull 2016; 42:744-52. [PMID: 26683625 PMCID: PMC4838083 DOI: 10.1093/schbul/sbv151] [Citation(s) in RCA: 150] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Resistance to antipsychotic treatment is a significant clinical problem in patients with schizophrenia with approximately 1 in 3 showing limited or no response to repeated treatments with antipsychotic medication. The neurobiological basis for treatment resistance is unknown but recent evidence implicates glutamatergic function in the anterior cingulate cortex. We examined glutamate levels of chronically ill treatment-resistant patients directly compared to treatment-responsive patients. METHODS We acquired proton magnetic resonance spectroscopy (1H-MRS) at 3 Tesla from 21 treatment-resistant and 20 treatment-responsive patients. All participants had a DSM-IV diagnosis of schizophrenia. Treatment-resistant patients were classified using the modified Kane criteria. The groups were matched for age, sex, smoking status, and illness duration. RESULTS Glutamate to creatine ratio levels were higher in treatment-resistant patients (Mean [SD] = 1.57 [0.24]) than in treatment-responsive patients (Mean[SD] = 1.38 [0.23]), (T[35] = 2.34, P = .025, 2-tailed), with a large effect size of d = 0.76. A model assuming 2 populations showed a 25% improvement in the fit of the Akaike weights (0.55) over a model assuming 1 population (0.44), producing group values almost identical to actual group means. DISCUSSION Increased anterior cingulate glutamate level is associated with treatment-resistant schizophrenia. This appears to be a stable neurobiological trait of treatment-resistant patients. We discuss possible explanations for glutamatergic dysfunction playing a significant role in resistance to conventional antipsychotic treatments, which are all dopamine-2 receptor blockers. Our findings suggest that glutamatergic treatments may be particularly effective in resistant patients and that 1H-MRS glutamate indices can potentially have clinical use.
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Affiliation(s)
- Elias Mouchlianitis
- Medical Research Council Clinical Sciences Centre, Psychiatric Imaging Group, Hammersmith Hospital, London, UK; Institute of Psychiatry Psychology and Neuroscience, Department of Psychosis Studies, King's College London, UK;
| | - Michael A. P. Bloomfield
- Medical Research Council Clinical Sciences Centre, Psychiatric Imaging Group, Hammersmith Hospital, London, UK;,University College London, Division of Psychiatry, London, UK
| | - Vincent Law
- Medical Research Council Clinical Sciences Centre, Psychiatric Imaging Group, Hammersmith Hospital, London, UK
| | - Katherine Beck
- Institute of Psychiatry Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, UK
| | - Sudhakar Selvaraj
- Department of Psychiatry and Behavioral Sciences, University of Texas, Houston, TX
| | | | - Adam Waldman
- Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, UK
| | - Federico E. Turkheimer
- Institute of Psychiatry Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, UK
| | - Alice Egerton
- Institute of Psychiatry Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, UK
| | - James Stone
- Medical Research Council Clinical Sciences Centre, Psychiatric Imaging Group, Hammersmith Hospital, London, UK;,Institute of Psychiatry Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, UK
| | - Oliver D. Howes
- Medical Research Council Clinical Sciences Centre, Psychiatric Imaging Group, Hammersmith Hospital, London, UK;,Institute of Psychiatry Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, UK
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Selvaraj S, Mouchlianitis E, Faulkner P, Turkheimer F, Cowen PJ, Roiser JP, Howes O. Presynaptic Serotoninergic Regulation of Emotional Processing: A Multimodal Brain Imaging Study. Biol Psychiatry 2015; 78:563-571. [PMID: 24882568 PMCID: PMC5322825 DOI: 10.1016/j.biopsych.2014.04.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2013] [Revised: 04/01/2014] [Accepted: 04/01/2014] [Indexed: 11/26/2022]
Abstract
BACKGROUND The amygdala is a central node in the brain network that processes aversive emotions and is extensively innervated by dorsal raphe nucleus (DRN) serotonin (5-hydroxytryptamine [5-HT]) neurons. Alterations in DRN 5-HT1A receptor availability cause phenotypes characterized by fearful behavior in preclinical models. However, it is unknown whether 5-HT1A receptor availability is linked specifically to the processing of aversive emotions in humans or whether it modulates connectivity in brain networks involved in emotion processing. To answer this question, we investigated the relationship between DRN 5-HT1A receptor availability and amygdala reactivity to aversive emotion and functional connectivity within the amygdala-cortical network. METHODS We studied 15 healthy human participants who underwent positron emission tomography scanning with [(11)C]CUMI-101, a 5-HT1A partial agonist radioligand, and functional magnetic resonance imaging of brain responses during an incidental emotion processing task including happy, fearful, and neutral faces. Regional estimates of 5-HT1A receptor binding potential (nondisplaceable) were obtained by calculating total volumes of distribution for presynaptic DRN and amygdala. Connectivity between the amygdala and corticolimbic areas was assessed using psychophysiologic interaction analysis with the amygdala as the seed region. RESULTS Analysis of the fear versus neutral contrast revealed a significant negative correlation between amygdala response and DRN binding potential (nondisplaceable) (r = -.87, p < .001). Availability of DRN 5-HT1A receptors positively correlated with amygdala connectivity with middle frontal gyrus, anterior cingulate cortex, bilateral precuneus, and left supramarginal gyrus for fearful (relative to neutral) faces. CONCLUSIONS Our data show that DRN 5-HT1A receptor availability is linked specifically to the processing of aversive emotions in the amygdala and the modulation of amygdala-cortical connectivity.
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Affiliation(s)
- Sudhakar Selvaraj
- Medical Research Council Clinical Sciences Centre, Hammersmith Hospital, London, W12 0NN, UK,Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Elias Mouchlianitis
- Medical Research Council Clinical Sciences Centre, Hammersmith Hospital, London, W12 0NN, UK
| | - Paul Faulkner
- Institute of Cognitive Neuroscience, University College London, WC1N 3AR, UK
| | | | | | - Jonathan P Roiser
- Institute of Cognitive Neuroscience, University College London, WC1N 3AR, UK
| | - Oliver Howes
- Medical Research Council Clinical Sciences Centre, Hammersmith Hospital, London, W12 0NN, UK,Institute of Psychiatry, King’s College London, SE5 8AF, UK
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Abstract
Adaptive behavior relies on the ability to effectively and efficiently ignore irrelevant information, an important component of attentional control. The current research found that fundamental difficulties in ignoring irrelevant material are related to dispositional differences in trait propensity to worry, suggesting a core deficit in attentional control in high worriers. The degree of deficit in attentional control correlated with the degree of difficulty in suppressing negative thought intrusions in a worry assessment task. A cognitive training procedure utilizing a flanker task was used in an attempt to improve attentional control. Although the cognitive training was largely ineffective, improvements in attentional control were associated with improvements in the ability to suppress worry-related thought intrusions. Across two studies, the findings indicate that the inability to control worry-related negative thought intrusions is associated with a general deficiency in attentional control.
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Affiliation(s)
- Elaine Fox
- Department of Experimental Psychology, University of Oxford
| | - Kevin Dutton
- Department of Experimental Psychology, University of Oxford
| | - Alan Yates
- Department of Psychology, University Campus Oldham
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Bloomfield MAP, Pepper F, Egerton A, Demjaha A, Tomasi G, Mouchlianitis E, Maximen L, Veronese M, Turkheimer F, Selvaraj S, Howes OD. Dopamine function in cigarette smokers: an [¹⁸F]-DOPA PET study. Neuropsychopharmacology 2014; 39:2397-404. [PMID: 24718373 PMCID: PMC4138749 DOI: 10.1038/npp.2014.87] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2013] [Revised: 03/13/2014] [Accepted: 03/26/2014] [Indexed: 01/07/2023]
Abstract
Tobacco addiction is a global public health problem. Addiction to tobacco is thought to involve the effects of nicotine on the dopaminergic system. Only one study has previously investigated dopamine synthesis capacity in cigarette smokers. This study, exclusively in male volunteers, reported increased dopamine synthesis capacity in heavy smokers compared with non-smokers. We sought to determine whether dopamine synthesis capacity was elevated in a larger sample of cigarette smokers that included females. Dopamine synthesis capacity was measured in 15 daily moderate smokers with 15 sex- and age-matched control subjects who had never smoked tobacco. Dopamine synthesis capacity (indexed as the influx rate constant K(i)(cer)) was measured with positron emission tomography and 3,4-dihydroxy-6-[(18)F]-fluoro-l-phenylalanine. There was no significant group difference in dopamine synthesis capacity between smokers and non-smoker controls in the whole striatum (t28=0.64, p=0.53) or any of its functional subdivisions. In smokers, there were no significant relationships between the number of cigarettes smoked per day and dopamine synthesis capacity in the whole striatum (r=-0.23, p=0.41) or any striatal subdivision. These findings indicate that moderate smoking is not associated with altered striatal dopamine synthesis capacity.
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Affiliation(s)
- Michael AP Bloomfield
- Psychiatric Imaging Group, Mansfield Building, Medical Research Council Clinical Sciences Centre, Institute of Clinical Sciences, Hammersmith Hospital, Imperial College London, London, UK,Department of Psychosis Studies, Institute of Psychiatry, King's College London (King's Health Partners), De Crespigny Park, London, UK
| | - Fiona Pepper
- Psychiatric Imaging Group, Mansfield Building, Medical Research Council Clinical Sciences Centre, Institute of Clinical Sciences, Hammersmith Hospital, Imperial College London, London, UK,Department of Psychosis Studies, Institute of Psychiatry, King's College London (King's Health Partners), De Crespigny Park, London, UK
| | - Alice Egerton
- Psychiatric Imaging Group, Mansfield Building, Medical Research Council Clinical Sciences Centre, Institute of Clinical Sciences, Hammersmith Hospital, Imperial College London, London, UK,Department of Psychosis Studies, Institute of Psychiatry, King's College London (King's Health Partners), De Crespigny Park, London, UK
| | - Arsime Demjaha
- Psychiatric Imaging Group, Mansfield Building, Medical Research Council Clinical Sciences Centre, Institute of Clinical Sciences, Hammersmith Hospital, Imperial College London, London, UK,Department of Psychosis Studies, Institute of Psychiatry, King's College London (King's Health Partners), De Crespigny Park, London, UK
| | - Gianpaolo Tomasi
- Medical Research Council Clinical Sciences Centre, Institute of Clinical Sciences, Hammersmith Hospital, Imperial College London, London, UK
| | - Elias Mouchlianitis
- Psychiatric Imaging Group, Mansfield Building, Medical Research Council Clinical Sciences Centre, Institute of Clinical Sciences, Hammersmith Hospital, Imperial College London, London, UK
| | - Levi Maximen
- Hammersmith Imanet Limited, Hammersmith Hospital, London, UK
| | - Mattia Veronese
- Department of Neuroimaging, Institute of Psychiatry, King's College London (King's Health Partners), London, UK
| | - Federico Turkheimer
- Department of Neuroimaging, Institute of Psychiatry, King's College London (King's Health Partners), London, UK
| | - Sudhakar Selvaraj
- Psychiatric Imaging Group, Mansfield Building, Medical Research Council Clinical Sciences Centre, Institute of Clinical Sciences, Hammersmith Hospital, Imperial College London, London, UK
| | - Oliver D Howes
- Psychiatric Imaging Group, Mansfield Building, Medical Research Council Clinical Sciences Centre, Institute of Clinical Sciences, Hammersmith Hospital, Imperial College London, London, UK,Department of Psychosis Studies, Institute of Psychiatry, King's College London (King's Health Partners), De Crespigny Park, London, UK,Psychiatric Imaging Group, Mansfield Building, Medical Research Council Clinical Sciences Centre, Institute of Clinical Sciences, Hammersmith Hospital, Imperial College London, Du Cane Road, London W12 0NN, UK, Tel: +44 (0)20 8383 3160, Fax: +44 (0) 20 8383 1783, E-mail:
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Selvaraj S, Faulkner P, Mouchlianitis E, Turkheimer F, Rosso L, Roiser J, Cowen P, Howes O. P-800 - How do antidepressants work? A Positron Emission Tomography (PET) study of brain serotonin levels and affect regulation. Eur Psychiatry 2012. [DOI: 10.1016/s0924-9338(12)74967-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Henson RN, Mouchlianitis E, Friston KJ. MEG and EEG data fusion: simultaneous localisation of face-evoked responses. Neuroimage 2009. [DOI: 10.1016/s1053-8119(09)71783-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Henson RN, Mouchlianitis E, Friston KJ. MEG and EEG data fusion: simultaneous localisation of face-evoked responses. Neuroimage 2009; 47:581-9. [PMID: 19398023 DOI: 10.1016/j.neuroimage.2009.04.063] [Citation(s) in RCA: 96] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2009] [Revised: 03/30/2009] [Accepted: 04/14/2009] [Indexed: 11/16/2022] Open
Abstract
We present an empirical Bayesian scheme for distributed multimodal inversion of electromagnetic forward models of EEG and MEG signals. We used a generative model with common source activity and separate error components for each modality. Under this scheme, the weightings of error for each modality, relative to source components, are estimated automatically from the data, by optimising the model-evidence. This obviates the need for arbitrary user-defined weightings. To evaluate the scheme, we acquired three types of data simultaneously from twelve participants: total magnetic flux (as recorded by 102 magnetometers), orthogonal in-plane gradients of the magnetic field (as recorded by 204 planar gradiometers) and voltage differences in the electrical field (recorded by 70 electrodes). We assessed the relative precision of each sensor-type in terms of signal-to-noise ratio (SNR); using empirical sample variances and optimised estimators from the generative model. We then compared the localisation of face-evoked responses, using each modality separately, with that obtained by their "fusion" under the common generative model. Finally, we quantified the conditional precisions of the source estimates using their posterior covariance, confirming that EEG can improve MEG-based source reconstructions.
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Henson RN, Mouchlianitis E, Matthews WJ, Kouider S. Electrophysiological correlates of masked face priming. Neuroimage 2008; 40:884-895. [PMID: 18234522 PMCID: PMC2516482 DOI: 10.1016/j.neuroimage.2007.12.003] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2007] [Revised: 11/29/2007] [Accepted: 12/05/2007] [Indexed: 11/30/2022] Open
Abstract
Using a sandwich-masked priming paradigm with faces, we report two ERP effects that appear to reflect different levels of subliminal face processing. These two ERP repetition effects dissociate in their onset, scalp topography, and sensitivity to face familiarity. The "early" effect occurred between 100 and 150 ms, was maximally negative-going over lateral temporoparietal channels, and was found for both familiar and unfamiliar faces. The "late" effect occurred between 300 and 500 ms, was maximally positive-going over centroparietal channels, and was found only for familiar faces. The early effect resembled our previous fMRI data from the same paradigm; the late effect resembled the behavioural priming found, in the form of faster reaction times to make fame judgments about primed relative to unprimed familiar faces. None of the ERP or behavioural effects appeared explicable by a measure of participants' ability to see the primes. The ERP and behavioural effects showed some sensitivity to whether the same or a different photograph of a face was repeated, but could remain reliable across different photographs, and did not appear attributable to a low-level measure of pixelwise overlap between prime and probe photograph. The functional significance of these ERP effects is discussed in relation to unconscious perception and face processing.
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Affiliation(s)
- R N Henson
- MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2 7EF, England, UK.
| | - E Mouchlianitis
- MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2 7EF, England, UK
| | - W J Matthews
- Department of Psychology, Warwick University, UK
| | - S Kouider
- Laboratoire des Sciences Cognitives et Psycholinguistique, CNRS/EHESS/DEC-ENS, Paris, France; Cognitive Neuroimaging Unit, INSERM/SHFJ/CEA, Orsay, France
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Abstract
Potentially dangerous stimuli are important contenders for the capture of visual-spatial attention, and it has been suggested that an evolved fear module is preferentially activated by stimuli that are fear relevant in a phylogenetic sense (e.g., snakes, spiders, angry faces). In this study, a visual search task was used to test this hypothesis by directly contrasting phylogenetically (snakes) and ontogenetically (guns) fear-relevant stimuli. Results showed that the modern threat was detected as efficiently as the more ancient threat. Thus, both guns and snakes attracted attention more effectively than neutral stimuli (flowers, mushrooms, and toasters). These results support a threat superiority effect but not one that is preferentially accessed by threat-related stimuli of phylogenetic origin. The results are consistent with the view that faster detection of threat in visual search tasks may be more accurately characterized as relevance superiority effects rather than as threat superiority effects.
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