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Moujaes F, Ji JL, Rahmati M, Burt JB, Schleifer C, Adkinson BD, Savic A, Santamauro N, Tamayo Z, Diehl C, Kolobaric A, Flynn M, Rieser N, Fonteneau C, Camarro T, Xu J, Cho Y, Repovs G, Fineberg SK, Morgan PT, Seifritz E, Vollenweider FX, Krystal JH, Murray JD, Preller KH, Anticevic A. Ketamine induces multiple individually distinct whole-brain functional connectivity signatures. eLife 2024; 13:e84173. [PMID: 38629811 PMCID: PMC11023699 DOI: 10.7554/elife.84173] [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: 10/12/2022] [Accepted: 02/15/2024] [Indexed: 04/19/2024] Open
Abstract
Background Ketamine has emerged as one of the most promising therapies for treatment-resistant depression. However, inter-individual variability in response to ketamine is still not well understood and it is unclear how ketamine's molecular mechanisms connect to its neural and behavioral effects. Methods We conducted a single-blind placebo-controlled study, with participants blinded to their treatment condition. 40 healthy participants received acute ketamine (initial bolus 0.23 mg/kg, continuous infusion 0.58 mg/kg/hr). We quantified resting-state functional connectivity via data-driven global brain connectivity and related it to individual ketamine-induced symptom variation and cortical gene expression targets. Results We found that: (i) both the neural and behavioral effects of acute ketamine are multi-dimensional, reflecting robust inter-individual variability; (ii) ketamine's data-driven principal neural gradient effect matched somatostatin (SST) and parvalbumin (PVALB) cortical gene expression patterns in humans, while the mean effect did not; and (iii) behavioral data-driven individual symptom variation mapped onto distinct neural gradients of ketamine, which were resolvable at the single-subject level. Conclusions These results highlight the importance of considering individual behavioral and neural variation in response to ketamine. They also have implications for the development of individually precise pharmacological biomarkers for treatment selection in psychiatry. Funding This study was supported by NIH grants DP5OD012109-01 (A.A.), 1U01MH121766 (A.A.), R01MH112746 (J.D.M.), 5R01MH112189 (A.A.), 5R01MH108590 (A.A.), NIAAA grant 2P50AA012870-11 (A.A.); NSF NeuroNex grant 2015276 (J.D.M.); Brain and Behavior Research Foundation Young Investigator Award (A.A.); SFARI Pilot Award (J.D.M., A.A.); Heffter Research Institute (Grant No. 1-190420) (FXV, KHP); Swiss Neuromatrix Foundation (Grant No. 2016-0111) (FXV, KHP); Swiss National Science Foundation under the framework of Neuron Cofund (Grant No. 01EW1908) (KHP); Usona Institute (2015 - 2056) (FXV). Clinical trial number NCT03842800.
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Affiliation(s)
- Flora Moujaes
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry ZurichZurichSwitzerland
| | - Jie Lisa Ji
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
| | - Masih Rahmati
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
| | - Joshua B Burt
- Department of Physics, Yale UniversityBostonUnited States
| | - Charles Schleifer
- David Geffen School of Medicine, University of California, Los AngelesLos AngelesUnited States
| | - Brendan D Adkinson
- Interdepartmental Neuroscience Program, Yale UniversityNew HavenUnited States
| | | | - Nicole Santamauro
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
| | - Zailyn Tamayo
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
| | - Caroline Diehl
- Department of Psychology, University of California, Los AngelesLos AngelesUnited States
| | | | - Morgan Flynn
- Department of Psychiatry, Vanderbilt University Medical CenterNashvilleUnited States
| | - Nathalie Rieser
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry ZurichZurichSwitzerland
| | - Clara Fonteneau
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
| | - Terry Camarro
- Magnetic Resonance Research Center, Yale University School of MedicineNew HavenUnited States
| | - Junqian Xu
- Department of Radiology and Psychiatry, Baylor College of MedicineHoustonUnited States
| | - Youngsun Cho
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
- Child Study Center, Yale University School of MedicineNew HavenUnited States
| | - Grega Repovs
- Department of Psychology, University of LjubljanaLjubljanaSlovenia
| | - Sarah K Fineberg
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
| | - Peter T Morgan
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
- Department of Psychiatry, Bridgeport HospitalBridgeportUnited States
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry ZurichZurichSwitzerland
| | - Franz X Vollenweider
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry ZurichZurichSwitzerland
| | - John H Krystal
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
| | - John D Murray
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
- Department of Physics, Yale UniversityBostonUnited States
- Department of Psychology, Yale UniversityNew HavenUnited States
| | - Katrin H Preller
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry ZurichZurichSwitzerland
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of MedicineNew HavenUnited States
- Interdepartmental Neuroscience Program, Yale UniversityNew HavenUnited States
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2
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Rieser NM, Gubser LP, Moujaes F, Duerler P, Lewis CR, Michels L, Vollenweider FX, Preller KH. Psilocybin-induced changes in cerebral blood flow are associated with acute and baseline inter-individual differences. Sci Rep 2023; 13:17475. [PMID: 37838755 PMCID: PMC10576760 DOI: 10.1038/s41598-023-44153-z] [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: 11/07/2022] [Accepted: 10/04/2023] [Indexed: 10/16/2023] Open
Abstract
Research into the use of psilocybin for the treatment of psychiatric disorders is a growing field. Nevertheless, robust brain-behavior relationships linking psilocybin-induced brain changes to subjective drug-induced effects have not been established. Furthermore, it is unclear if the acute neural effects are dependent on individual heterogeneity in baseline characteristics. To address this, we assessed the effects of three oral doses of psilocybin vs. placebo on cerebral blood flow (CBF) using arterial spin labeling in healthy participants (N = 70; n = 31, 0.16 mg/kg; n = 10, 0.2 mg/kg; n = 29, 0.215 mg/kg). First, we quantified psilocybin-induced changes in relative and absolute CBF. Second, in an exploratory analysis, we assessed whether individual baseline characteristics and subjective psychedelic experience are associated with changes in CBF. Psychological and neurobiological baseline characteristics correlated with the psilocybin-induced reduction in relative CBF and the psilocybin-induced subjective experience. Furthermore, the psilocybin-induced subjective experience was associated with acute changes in relative and absolute CBF. The results demonstrated that inter-individual heterogeneity in the neural response to psilocybin is associated with baseline characteristics and shed light on the mechanisms underlying the psychedelic-induced altered state. Overall, these findings help guide the search for biomarkers, paving the way for a personalized medicine approach within the framework of psychedelic-assisted therapy.
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Affiliation(s)
- Nathalie M Rieser
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, Lenggstrasse 31, Zurich, Switzerland.
| | - Ladina P Gubser
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, Lenggstrasse 31, Zurich, Switzerland
| | - Flora Moujaes
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, Lenggstrasse 31, Zurich, Switzerland
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Patricia Duerler
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, Lenggstrasse 31, Zurich, Switzerland
| | - Candace R Lewis
- School of Life Sciences, Arizona State University, Tempe, AZ, 85281, USA
| | - Lars Michels
- Department of Neuroradiology, University Hospital Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
| | - Franz X Vollenweider
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, Lenggstrasse 31, Zurich, Switzerland
| | - Katrin H Preller
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, Lenggstrasse 31, Zurich, Switzerland
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3
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Moujaes F, Rieser NM, Phillips C, de Matos NMP, Brügger M, Dürler P, Smigielski L, Stämpfli P, Seifritz E, Vollenweider FX, Anticevic A, Preller KH. Comparing Neural Correlates of Consciousness: From Psychedelics to Hypnosis and Meditation. Biol Psychiatry Cogn Neurosci Neuroimaging 2023:S2451-9022(23)00174-X. [PMID: 37459910 DOI: 10.1016/j.bpsc.2023.07.003] [Citation(s) in RCA: 1] [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] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 05/23/2023] [Accepted: 07/07/2023] [Indexed: 10/14/2023]
Abstract
BACKGROUND Pharmacological and nonpharmacological methods of inducing altered states of consciousness (ASCs) are becoming increasingly relevant in the treatment of psychiatric disorders. While comparisons between them are often drawn, to date no study has directly compared their neural correlates. METHODS To address this knowledge gap, we directly compared 2 pharmacological methods (psilocybin 0.2 mg/kg orally [n = 23] and lysergic acid diethylamide [LSD] 100 μg orally [n = 25]) and 2 nonpharmacological methods (hypnosis [n = 30] and meditation [n = 29]) using resting-state functional connectivity magnetic resonance imaging and assessed the predictive value of the data using a machine learning approach. RESULTS We found that 1) no network reached significance in all 4 ASC methods; 2) pharmacological and nonpharmacological interventions of inducing ASCs showed distinct connectivity patterns that were predictive at the individual level; 3) hypnosis and meditation showed differences in functional connectivity when compared directly and also drove distinct differences when jointly compared with the pharmacological ASC interventions; and 4) psilocybin and LSD showed no differences in functional connectivity when directly compared with each other, but they did show distinct behavioral-neural relationships. CONCLUSIONS Overall, these results extend our understanding of the mechanisms of action of ASCs and highlight the importance of exploring how these effects can be leveraged in the treatment of psychiatric disorders.
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Affiliation(s)
- Flora Moujaes
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Nathalie M Rieser
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland.
| | - Christophe Phillips
- GIGA Cyclotron Research Centre in vivo imaging, University of Liège, Liège, Belgium
| | - Nuno M P de Matos
- Clinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, Zurich, Switzerland
| | - Mike Brügger
- Clinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, Zurich, Switzerland
| | - Patricia Dürler
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
| | - Lukasz Smigielski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Switzerland
| | - Philipp Stämpfli
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland; MR Center, Psychiatric University Hospital, University of Zurich, Switzerland
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
| | - Franz X Vollenweider
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Katrin H Preller
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
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4
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Shinn M, Hu A, Turner L, Noble S, Preller KH, Ji JL, Moujaes F, Achard S, Scheinost D, Constable RT, Krystal JH, Vollenweider FX, Lee D, Anticevic A, Bullmore ET, Murray JD. Functional brain networks reflect spatial and temporal autocorrelation. Nat Neurosci 2023; 26:867-878. [PMID: 37095399 DOI: 10.1038/s41593-023-01299-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 03/14/2023] [Indexed: 04/26/2023]
Abstract
High-throughput experimental methods in neuroscience have led to an explosion of techniques for measuring complex interactions and multi-dimensional patterns. However, whether sophisticated measures of emergent phenomena can be traced back to simpler, low-dimensional statistics is largely unknown. To explore this question, we examined resting-state functional magnetic resonance imaging (rs-fMRI) data using complex topology measures from network neuroscience. Here we show that spatial and temporal autocorrelation are reliable statistics that explain numerous measures of network topology. Surrogate time series with subject-matched spatial and temporal autocorrelation capture nearly all reliable individual and regional variation in these topology measures. Network topology changes during aging are driven by spatial autocorrelation, and multiple serotonergic drugs causally induce the same topographic change in temporal autocorrelation. This reductionistic interpretation of widely used complexity measures may help link them to neurobiology.
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Affiliation(s)
- Maxwell Shinn
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Amber Hu
- Yale College, Yale University, New Haven, CT, USA
| | | | - Stephanie Noble
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Katrin H Preller
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry, Zurich, Switzerland
| | - Jie Lisa Ji
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Flora Moujaes
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry, Zurich, Switzerland
| | - Sophie Achard
- University of Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, Grenoble, France
| | - Dustin Scheinost
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - R Todd Constable
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - John H Krystal
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Franz X Vollenweider
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry, Zurich, Switzerland
| | - Daeyeol Lee
- Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA
- Kavli Discovery Neuroscience Institute, Johns Hopkins University, Baltimore, MD, USA
- Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA
- Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA
| | - Alan Anticevic
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | | | - John D Murray
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA.
- Department of Psychiatry, Yale University, New Haven, CT, USA.
- Department of Physics, Yale University, New Haven, CT, USA.
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5
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Moujaes F, Preller KH, Ji JL, Murray JD, Berkovitch L, Vollenweider FX, Anticevic A. Towards mapping neuro-behavioral heterogeneity of psychedelic neurobiology in humans. Biol Psychiatry 2022:S0006-3223(22)01805-4. [PMID: 36715317 DOI: 10.1016/j.biopsych.2022.10.021] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 10/10/2022] [Accepted: 10/31/2022] [Indexed: 12/12/2022]
Abstract
Precision psychiatry aims to identify markers of inter-individual variability that allow predicting the right treatment for each patient. However, bridging the gap between molecular-level manipulations and neural systems-level functional alterations remains an unsolved problem in psychiatry. After decades of low success rates in pharmaceutical R&D for psychiatric drugs, multiple studies now point to the potential of psychedelics as a promising fast-acting and long-lasting treatment for some psychiatric symptoms. Yet, given the highly psychoactive nature of these substances, a precision medicine approach is essential to map the neural signals related to clinical efficacy in order to identify patients who can maximally benefit from this treatment. Recent studies have shown that bridging the gap between pharmacology, systems-level neural response in humans and individual experience is possible for psychedelic substances, therefore paving the way for a precision neuropsychiatric therapeutic development. Specifically, it has been shown that the integration of brain-wide PET or transcriptomic data, i.e. receptor distribution for the serotonin 2A receptor, with computational neuroimaging methods can simulate the effect of psychedelics on the human brain. These novel 'computational psychiatry' approaches allow for modeling inter-individual differences in neural as well as subjective effects of psychedelic substances. Collectively, this review provides a deep dive into psychedelic pharmaco-neuroimaging studies with a core focus on how recent computational psychiatry advances in biophysically based circuit modeling can be leveraged to predict individual responses. Finally, we emphasize the importance of human pharmacological neuroimaging for the continued precision therapeutic development of psychedelics.
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Affiliation(s)
- Flora Moujaes
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Lenggstr. 31, 8032 Zurich, Switzerland; Department of Psychiatry, Yale University School of Medicine, 40 Temple Street, New Haven, CT, 06511, United States
| | - Katrin H Preller
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Lenggstr. 31, 8032 Zurich, Switzerland; Department of Psychiatry, Yale University School of Medicine, 40 Temple Street, New Haven, CT, 06511, United States
| | - Jie Lisa Ji
- Department of Psychiatry, Yale University School of Medicine, 40 Temple Street, New Haven, CT, 06511, United States
| | - John D Murray
- Department of Psychiatry, Yale University School of Medicine, 40 Temple Street, New Haven, CT, 06511, United States; Department of Physics, Yale University, New Haven, CT, 06511, United States; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, 06511, United States
| | - Lucie Berkovitch
- Department of Psychiatry, Yale University School of Medicine, 40 Temple Street, New Haven, CT, 06511, United States; Université de Paris, 15 Rue de l'École de Médecine, F-75006 Paris, France; Department of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neurosciences, 1 rue Cabanis, F-75014, Paris, France
| | - Franz X Vollenweider
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Lenggstr. 31, 8032 Zurich, Switzerland
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, 40 Temple Street, New Haven, CT, 06511, United States; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, 06511, United States.
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Cho YT, Moujaes F, Schleifer CH, Starc M, Ji JL, Santamauro N, Adkinson B, Kolobaric A, Flynn M, Krystal JH, Murray JD, Repovs G, Anticevic A. Reward and loss incentives improve spatial working memory by shaping trial-by-trial posterior frontoparietal signals. Neuroimage 2022; 254:119139. [PMID: 35346841 PMCID: PMC9264479 DOI: 10.1016/j.neuroimage.2022.119139] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 03/15/2022] [Accepted: 03/22/2022] [Indexed: 10/29/2022] Open
Abstract
Integrating motivational signals with cognition is critical for goal-directed activities. The mechanisms that link neural changes with motivated working memory continue to be understood. Here, we tested how externally cued and non-cued (internally represented) reward and loss impact spatial working memory precision and neural circuits in human subjects using fMRI. We translated the classic delayed-response spatial working memory paradigm from non-human primate studies to take advantage of a continuous numeric measure of working memory precision, and the wealth of translational neuroscience yielded by these studies. Our results demonstrated that both cued and non-cued reward and loss improved spatial working memory precision. Visual association regions of the posterior prefrontal and parietal cortices, specifically the precentral sulcus (PCS) and intraparietal sulcus (IPS), had increased BOLD signal during incentivized spatial working memory. A subset of these regions had trial-by-trial increases in BOLD signal that were associated with better working memory precision, suggesting that these regions may be critical for linking neural signals with motivated working memory. In contrast, regions straddling executive networks, including areas in the dorsolateral prefrontal cortex, anterior parietal cortex and cerebellum displayed decreased BOLD signal during incentivized working memory. While reward and loss similarly impacted working memory processes, they dissociated during feedback when money won or avoided in loss was given based on working memory performance. During feedback, the trial-by-trial amount and valence of reward/loss received was dissociated amongst regions such as the ventral striatum, habenula and periaqueductal gray. Overall, this work suggests motivated spatial working memory is supported by complex sensory processes, and that the IPS and PCS in the posterior frontoparietal cortices may be key regions for integrating motivational signals with spatial working memory precision.
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Affiliation(s)
- Youngsun T Cho
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA; Yale University, Child Study Center, 230 South Frontage Road, New Haven, CT, 06519, USA; Connecticut Mental Health Center, Clinical Neuroscience Research Unit, 34 Park Street, 3rd floor, New Haven, CT, 06519, USA; Yale University, Interdepartmental Neuroscience Program, Yale University Neuroscience Program, P.O. Box 208074, New Haven, CT, 06520, USA.
| | - Flora Moujaes
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Charles H Schleifer
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | | | - Jie Lisa Ji
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Nicole Santamauro
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Brendan Adkinson
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Antonija Kolobaric
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Morgan Flynn
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - John H Krystal
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA; Yale University, NIAAA Center for Translational Neuroscience of Alcoholism, 34 Park Street, 3rd floor, New Haven, CT 06519 USA
| | - John D Murray
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA; Yale University, Interdepartmental Neuroscience Program, Yale University Neuroscience Program, P.O. Box 208074, New Haven, CT, 06520, USA; Yale University, Department of Physics, 217 Prospect Street, New Haven, CT, 06511, USA
| | - Grega Repovs
- University of Ljubljana, Department of Psychology
| | - Alan Anticevic
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA; Connecticut Mental Health Center, Clinical Neuroscience Research Unit, 34 Park Street, 3rd floor, New Haven, CT, 06519, USA; Yale University, Interdepartmental Neuroscience Program, Yale University Neuroscience Program, P.O. Box 208074, New Haven, CT, 06520, USA; University of Zagreb, University Psychiatric Hospital Vrapce; Yale University, Department of Psychology, Box 208205, New Haven, CT, 06520-8205, USA; Yale University, NIAAA Center for Translational Neuroscience of Alcoholism, 34 Park Street, 3rd floor, New Haven, CT 06519 USA.
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7
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Ji JL, Helmer M, Fonteneau C, Burt JB, Tamayo Z, Demšar J, Adkinson BD, Savić A, Preller KH, Moujaes F, Vollenweider FX, Martin WJ, Repovš G, Cho YT, Pittenger C, Murray JD, Anticevic A. Correction: Mapping brain-behavior space relationships along the psychosis spectrum. eLife 2022; 11:79129. [PMID: 35380951 PMCID: PMC8983038 DOI: 10.7554/elife.79129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 03/31/2022] [Indexed: 11/18/2022] Open
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8
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Ji JL, Helmer M, Fonteneau C, Burt JB, Tamayo Z, Demšar J, Adkinson BD, Savić A, Preller KH, Moujaes F, Vollenweider FX, Martin WJ, Repovš G, Murray JD, Anticevic A. Mapping brain-behavior space relationships along the psychosis spectrum. eLife 2021; 10:66968. [PMID: 34313219 PMCID: PMC8315806 DOI: 10.7554/elife.66968] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 06/14/2021] [Indexed: 12/29/2022] Open
Abstract
Difficulties in advancing effective patient-specific therapies for psychiatric disorders highlight a need to develop a stable neurobiologically grounded mapping between neural and symptom variation. This gap is particularly acute for psychosis-spectrum disorders (PSD). Here, in a sample of 436 PSD patients spanning several diagnoses, we derived and replicated a dimensionality-reduced symptom space across hallmark psychopathology symptoms and cognitive deficits. In turn, these symptom axes mapped onto distinct, reproducible brain maps. Critically, we found that multivariate brain-behavior mapping techniques (e.g. canonical correlation analysis) do not produce stable results with current sample sizes. However, we show that a univariate brain-behavioral space (BBS) can resolve stable individualized prediction. Finally, we show a proof-of-principle framework for relating personalized BBS metrics with molecular targets via serotonin and glutamate receptor manipulations and neural gene expression maps derived from the Allen Human Brain Atlas. Collectively, these results highlight a stable and data-driven BBS mapping across PSD, which offers an actionable path that can be iteratively optimized for personalized clinical biomarker endpoints.
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Affiliation(s)
- Jie Lisa Ji
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States.,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, United States
| | - Markus Helmer
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States
| | - Clara Fonteneau
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States
| | | | - Zailyn Tamayo
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States
| | - Jure Demšar
- Department of Psychology, University of Ljubljana, Ljubljana, Slovenia.,Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia
| | - Brendan D Adkinson
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States.,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, United States
| | | | - Katrin H Preller
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland
| | - Flora Moujaes
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland
| | - Franz X Vollenweider
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland
| | - William J Martin
- The Janssen Pharmaceutical Companies of Johnson and Johnson, San Francisco, United States
| | - Grega Repovš
- Department of Psychiatry, University of Zagreb, Zagreb, Croatia
| | - John D Murray
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States.,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, United States.,Department of Physics, Yale University, New Haven, United States
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States.,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, United States.,Department of Psychology, Yale University School of Medicine, New Haven, United States
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Cho YT, Lam NH, Starc M, Santamauro N, Savic A, Diehl CK, Schleifer CH, Moujaes F, Srihari VH, Repovs G, Murray JD, Anticevic A. Effects of reward on spatial working memory in schizophrenia. J Abnorm Psychol 2018; 127:695-709. [PMID: 30335439 DOI: 10.1037/abn0000369] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Reward processing and cognition are disrupted in schizophrenia (SCZ), yet how these processes interface is unknown. In SCZ, deficits in reward representation may affect motivated, goal-directed behaviors. To test this, we examined the effects of monetary reward on spatial working memory (WM) performance in patients with SCZ. To capture complimentary effects, we tested biophysically grounded computational models of neuropharmacologic manipulations onto a canonical fronto-parietal association cortical microcircuit capable of WM computations. Patients with SCZ (n = 33) and healthy control subjects (HCS; n = 32) performed a spatial WM task with 2 reward manipulations: reward cues presented prior to each trial, or contextually prior to a block of trials. WM performance was compared with cortical circuit models of WM subjected to feed-forward glutamatergic excitation, feed-forward GABAergic inhibition, or recurrent modulation strengthening local connections. Results demonstrated that both groups improved WM performance to reward cues presented prior to each trial (HCS d = -0.62; SCZ d = -1.0), with percent improvement correlating with baseline WM performance (r = .472, p < .001). However, rewards presented contextually before a block of trials did not improve WM performance in patients with SCZ (d = 0.01). Modeling simulations achieved improved WM precision through strengthened local connections via neuromodulation, or feed-forward inhibition. Taken together, this work demonstrates that patients with SCZ can improve WM performance to short-term, but not longer-term rewards-thus, motivated behaviors may be limited by strength of reward representation. A potential mechanism for transiently improved WM performance may be strengthening of local fronto-parietal microcircuit connections via neuromodulation or feed-forward inhibitory drive. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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Affiliation(s)
- Youngsun T Cho
- Department of Psychiatry, Yale University School of Medicine
| | | | | | | | | | | | | | - Flora Moujaes
- Department of Psychiatry, Yale University School of Medicine
| | - Vinod H Srihari
- Department of Psychiatry, Yale University School of Medicine
| | - Grega Repovs
- Department of Psychology, University of Ljubljana
| | - John D Murray
- Department of Psychiatry, Yale University School of Medicine
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine
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