2024
Neural mechanisms of psychedelic visual imagery
Stoliker D, Preller K, Novelli L, Anticevic A, Egan G, Vollenweider F, Razi A. Neural mechanisms of psychedelic visual imagery. Molecular Psychiatry 2024, 1-8. PMID: 38862674, DOI: 10.1038/s41380-024-02632-3.Peer-Reviewed Original ResearchVisual association regionsVisual imageryConsistent with preclinical findingsInferior frontal gyrusSerotonergic psychedelic drugTop-down feedback connectionsFunctional MRI scansVisual areasDynamic causal modelingEffective connectivity modelsTop-down connectionsEarly visual areasFusiform gyrusFrontal gyrusClassic psychedelicsIntraparietal sulcusBehavioral measuresNeural mechanismsPsychedelic experiencePsychedelic drugsConnectivity changesAffect balancePlacebo-controlledPreclinical findingsCausal modelGenerative AI for precision neuroimaging biomarker development in psychiatry
Wright S, Anticevic A. Generative AI for precision neuroimaging biomarker development in psychiatry. Psychiatry Research 2024, 339: 115955. PMID: 38909415, DOI: 10.1016/j.psychres.2024.115955.Peer-Reviewed Original Research41. Neurobehavioral Mapping of Posttraumatic Stress Disorder Development in Recent Trauma Survivors
Ben-Zion Z, Lee K, Fonteneau C, Liberzon I, Shalev A, Hendler T, Levy I, Anticevic A, Harpaz-Rotem I. 41. Neurobehavioral Mapping of Posttraumatic Stress Disorder Development in Recent Trauma Survivors. Biological Psychiatry 2024, 95: s92. DOI: 10.1016/j.biopsych.2024.02.219.Peer-Reviewed Original Research450. Symptom Severity of Sample Population Impacts the Reproducibility of Neuro-Symptom Relationship in Psychosis
Lee K, Fonteneau C, Price A, Berkovitch L, Ji J, Tamayo Z, Afriyie-Agyemang Y, Howell A, Repovš G, Murray J, Cho Y, Anticevic A. 450. Symptom Severity of Sample Population Impacts the Reproducibility of Neuro-Symptom Relationship in Psychosis. Biological Psychiatry 2024, 95: s284. DOI: 10.1016/j.biopsych.2024.02.949.Peer-Reviewed Original ResearchHuman Brain State Dynamics Reflect Individual Neuro-Phenotypes
Lee K, Ji J, Fonteneau C, Berkovitch L, Rahmati M, Pan L, Repovš G, Krystal J, Murray J, Anticevic A. Human Brain State Dynamics Reflect Individual Neuro-Phenotypes. Biological Psychiatry 2024, 95: s53. DOI: 10.1016/j.biopsych.2024.02.133.Peer-Reviewed Original Research249. Interactive Effects of Motivation and Cognition in Adolescents With Depression and Neurotypical Peers
Pham P, Frazier A, Agrawal S, Anticevic A, Cho Y. 249. Interactive Effects of Motivation and Cognition in Adolescents With Depression and Neurotypical Peers. Biological Psychiatry 2024, 95: s201. DOI: 10.1016/j.biopsych.2024.02.484.Peer-Reviewed Original Research215. A Preliminary Interim Analysis of Cognitive Performance in Adolescents With Depression and Neurotypical Peers Using the NIH Toolbox
Agrawal S, Pham P, Frazier A, Anticevic A, Cho Y. 215. A Preliminary Interim Analysis of Cognitive Performance in Adolescents With Depression and Neurotypical Peers Using the NIH Toolbox. Biological Psychiatry 2024, 95: s187-s188. DOI: 10.1016/j.biopsych.2024.02.450.Peer-Reviewed Original ResearchKetamine induces multiple individually distinct whole-brain functional connectivity signatures
Moujaes F, Ji J, Rahmati M, Burt J, Schleifer C, Adkinson B, 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 S, Morgan P, Seifritz E, Vollenweider F, Krystal J, Murray J, Preller K, 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.Peer-Reviewed Original ResearchConceptsResponse to ketamineAcute ketamineBehavioral effectsQuantified resting-state functional connectivityEffects of acute ketamineSymptom variationResting-state functional connectivityTreatment-resistant depressionFunctional connectivity signaturesGlobal brain connectivitySingle-subject levelInter-individual variabilityPlacebo-controlled studyFunctional connectivityConnectivity signaturesBrain connectivityHealthy participantsSingle-blind placebo-controlled studyNeural variationsTreatment conditionsKetamineGene expression targetsPharmacological biomarkersPilot awardParvalbuminAccelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis
Wannan C, Nelson B, Addington J, Allott K, Anticevic A, Arango C, Baker J, Bearden C, Billah T, Bouix S, Broome M, Buccilli K, Cadenhead K, Calkins M, Cannon T, Cecci G, Chen E, Cho K, Choi J, Clark S, Coleman M, Conus P, Corcoran C, Cornblatt B, Diaz-Caneja C, Dwyer D, Ebdrup B, Ellman L, Fusar-Poli P, Galindo L, Gaspar P, Gerber C, Glenthøj L, Glynn R, Harms M, Horton L, Kahn R, Kambeitz J, Kambeitz-Ilankovic L, Kane J, Kapur T, Keshavan M, Kim S, Koutsouleris N, Kubicki M, Kwon J, Langbein K, Lewandowski K, Light G, Mamah D, Marcy P, Mathalon D, McGorry P, Mittal V, Nordentoft M, Nunez A, Pasternak O, Pearlson G, Perez J, Perkins D, Powers A, Roalf D, Sabb F, Schiffman J, Shah J, Smesny S, Spark J, Stone W, Strauss G, Tamayo Z, Torous J, Upthegrove R, Vangel M, Verma S, Wang J, Rossum I, Wolf D, Wolff P, Wood S, Yung A, Agurto C, Alvarez-Jimenez M, Amminger P, Armando M, Asgari-Targhi A, Cahill J, Carrión R, Castro E, Cetin-Karayumak S, Chakravarty M, Cho Y, Cotter D, D’Alfonso S, Ennis M, Fadnavis S, Fonteneau C, Gao C, Gupta T, Gur R, Gur R, Hamilton H, Hoftman G, Jacobs G, Jarcho J, Ji J, Kohler C, Lalousis P, Lavoie S, Lepage M, Liebenthal E, Mervis J, Murty V, Nicholas S, Ning L, Penzel N, Poldrack R, Polosecki P, Pratt D, Rabin R, Eichi H, Rathi Y, Reichenberg A, Reinen J, Rogers J, Ruiz-Yu B, Scott I, Seitz-Holland J, Srihari V, Srivastava A, Thompson A, Turetsky B, Walsh B, Whitford T, Wigman J, Yao B, Yuen H, Ahmed U, Byun A, Chung Y, Do K, Hendricks L, Huynh K, Jeffries C, Lane E, Langholm C, Lin E, Mantua V, Santorelli G, Ruparel K, Zoupou E, Adasme T, Addamo L, Adery L, Ali M, Auther A, Aversa S, Baek S, Bates K, Bathery A, Bayer J, Beedham R, Bilgrami Z, Birch S, Bonoldi I, Borders O, Borgatti R, Brown L, Bruna A, Carrington H, Castillo-Passi R, Chen J, Cheng N, Ching A, Clifford C, Colton B, Contreras P, Corral S, Damiani S, Done M, Estradé A, Etuka B, Formica M, Furlan R, Geljic M, Germano C, Getachew R, Goncalves M, Haidar A, Hartmann J, Jo A, John O, Kerins S, Kerr M, Kesselring I, Kim H, Kim N, Kinney K, Krcmar M, Kotler E, Lafanechere M, Lee C, Llerena J, Markiewicz C, Matnejl P, Maturana A, Mavambu A, Mayol-Troncoso R, McDonnell A, McGowan A, McLaughlin D, McIlhenny R, McQueen B, Mebrahtu Y, Mensi M, Hui C, Suen Y, Wong S, Morrell N, Omar M, Partridge A, Phassouliotis C, Pichiecchio A, Politi P, Porter C, Provenzani U, Prunier N, Raj J, Ray S, Rayner V, Reyes M, Reynolds K, Rush S, Salinas C, Shetty J, Snowball C, Tod S, Turra-Fariña G, Valle D, Veale S, Whitson S, Wickham A, Youn S, Zamorano F, Zavaglia E, Zinberg J, Woods S, Shenton M. Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis. Schizophrenia Bulletin 2024, 50: 496-512. PMID: 38451304, PMCID: PMC11059785, DOI: 10.1093/schbul/sbae011.Peer-Reviewed Original ResearchClinical high-risk individualsClinical high riskNational Institute of Mental HealthInstitute of Mental HealthAttenuated positive symptomsPersistent negative symptomsTransition to psychosisCHR statusHigh riskNegative symptomsPositive symptomsAnxiety symptomsPsychosocial functioningCognitive dataOutcomes of individualsDigital health technologiesDaily surveysPsychosisSCZPublic health needsMental healthNovel pharmacological interventionsSchizophreniaClinical outcomesHealth needsOn the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations
Helmer M, Warrington S, Mohammadi-Nejad A, Ji J, Howell A, Rosand B, Anticevic A, Sotiropoulos S, Murray J. On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations. Communications Biology 2024, 7: 217. PMID: 38383808, PMCID: PMC11245620, DOI: 10.1038/s42003-024-05869-4.Peer-Reviewed Original ResearchFunctional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions
Voineskos A, Hawco C, Neufeld N, Turner J, Ameis S, Anticevic A, Buchanan R, Cadenhead K, Dazzan P, Dickie E, Gallucci J, Lahti A, Malhotra A, Öngür D, Lencz T, Sarpal D, Oliver L. Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions. World Psychiatry 2024, 23: 26-51. PMID: 38214624, PMCID: PMC10786022, DOI: 10.1002/wps.21159.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingFunctional neuroimagingFunctional magnetic resonance imaging studyStudy of negative symptomsClinical high-risk phaseFMRI biomarkersSocial cognitive deficitsNeurobiology of schizophreniaHeterogeneity of schizophreniaRegional brain activityMagnetic resonance imagingPersistent functional impairmentTreatment response studiesAntipsychotic medicationNegative symptomsSchizophrenia treatmentCognitive deficitsSchizophreniaBrain activityPsychosocial interventionsNeural markersResonance imagingHigh-risk phaseReview researchCase-control comparison
2016
Clinical Heterogeneity Arising from Categorical and Dimensional Features of the Neurobiology of Psychiatric Diagnoses: Insights from Neuroimaging and Computational Neuroscience
Krystal J, Anticevic A, Murray J, Glahn D, Driesen N, Yang G, Wang X. Clinical Heterogeneity Arising from Categorical and Dimensional Features of the Neurobiology of Psychiatric Diagnoses: Insights from Neuroimaging and Computational Neuroscience. 2016, 293-316. DOI: 10.7551/mitpress/10936.003.0023.Peer-Reviewed Original ResearchPsychiatric disordersMechanisms of psychiatric disordersModel psychiatric disordersPsychiatric nosologyPsychological assessmentPsychiatric diagnosingModern psychiatryPsychiatric issuesNeurobiologyPsychiatristsNeurological analysisPsychiatryDisordersComputational neuroscienceClinical heterogeneityNeuroimagingNosologyNeuroscienceNeuroscientistsComputational neuroscientistsCategorization
2015
Bridging Levels of Understanding in Schizophrenia Through Computational Modeling
Anticevic A, Murray JD, Barch DM. Bridging Levels of Understanding in Schizophrenia Through Computational Modeling. Clinical Psychological Science 2015, 3: 433-459. PMID: 25960938, PMCID: PMC4421907, DOI: 10.1177/2167702614562041.Peer-Reviewed Original Research
2014
Altered global brain signal in schizophrenia
Yang GJ, Murray JD, Repovs G, Cole MW, Savic A, Glasser MF, Pittenger C, Krystal JH, Wang XJ, Pearlson GD, Glahn DC, Anticevic A. Altered global brain signal in schizophrenia. Proceedings Of The National Academy Of Sciences Of The United States Of America 2014, 111: 7438-7443. PMID: 24799682, PMCID: PMC4034208, DOI: 10.1073/pnas.1405289111.Peer-Reviewed Original ResearchConceptsGlobal brain signalBrain dysfunctionHealthy subjectsBipolar patientsCortical powerBipolar disorderNeuropsychiatric conditionsFunctional MRIPatient samplesBrain connectivitySchizophreniaComplex neurobiologyDiagnostic specificityPatientsBrain signalsAlterationsDysfunctionSymptomsFindingsBaselineBrainMRIVentral Anterior Cingulate Connectivity Distinguished Nonpsychotic Bipolar Illness From Psychotic Bipolar Disorder and Schizophrenia
Anticevic A, Savic A, Repovs G, Yang G, McKay DR, Sprooten E, Knowles EE, Krystal JH, Pearlson GD, Glahn DC. Ventral Anterior Cingulate Connectivity Distinguished Nonpsychotic Bipolar Illness From Psychotic Bipolar Disorder and Schizophrenia. Schizophrenia Bulletin 2014, 41: 133-143. PMID: 24782562, PMCID: PMC4266289, DOI: 10.1093/schbul/sbu051.Peer-Reviewed Original ResearchConceptsVentral anterior cingulate cortexBipolar illnessPsychosis historyWhole-brain connectivityBipolar patientsConnectivity alterationsBrain connectivityCo-occurring psychosisChronic schizophrenia patientsHealthy comparison subjectsBipolar disorder patientsPsychotic bipolar disorder patientsBipolar disorder groupAnterior cingulate cortexFunctional connectivity studiesPsychotic bipolar disorderLifetime psychosisChronic schizophreniaPsychotic symptomsDisorder patientsPatientsComparison subjectsSchizophrenia patientsBipolar disorderCingulate cortexThe Frontoparietal Control System
Cole MW, Repovš G, Anticevic A. The Frontoparietal Control System. The Neuroscientist 2014, 20: 652-664. PMID: 24622818, PMCID: PMC4162869, DOI: 10.1177/1073858414525995.Peer-Reviewed Original Research
2013
Amygdala Connectivity Differs Among Chronic, Early Course, and Individuals at Risk for Developing Schizophrenia
Anticevic A, Tang Y, Cho YT, Repovs G, Cole MW, Savic A, Wang F, Krystal JH, Xu K. Amygdala Connectivity Differs Among Chronic, Early Course, and Individuals at Risk for Developing Schizophrenia. Schizophrenia Bulletin 2013, 40: 1105-1116. PMID: 24366718, PMCID: PMC4133672, DOI: 10.1093/schbul/sbt165.Peer-Reviewed Original ResearchConceptsHealthy comparison subjectsAmygdala connectivityHigh riskSymptom severityOrbitofrontal cortexWhole-brain functional connectivityHR individualsResting-state connectivitySchizophrenia symptom severityFunctional magnetic resonanceAmygdala seedArousal nucleiInitial episodeSchizophrenia neuropathologyChronic schizophreniaBrainstem regionsIllness phasePsychosis onsetElevated riskAmygdala circuitsEarly courseComparison subjectsFunctional alterationsClinical groupsFunctional connectivityGlobal Resting-State Functional Magnetic Resonance Imaging Analysis Identifies Frontal Cortex, Striatal, and Cerebellar Dysconnectivity in Obsessive-Compulsive Disorder
Anticevic A, Hu S, Zhang S, Savic A, Billingslea E, Wasylink S, Repovs G, Cole MW, Bednarski S, Krystal JH, Bloch MH, Li CS, Pittenger C. Global Resting-State Functional Magnetic Resonance Imaging Analysis Identifies Frontal Cortex, Striatal, and Cerebellar Dysconnectivity in Obsessive-Compulsive Disorder. Biological Psychiatry 2013, 75: 595-605. PMID: 24314349, PMCID: PMC3969771, DOI: 10.1016/j.biopsych.2013.10.021.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderPrefrontal cortexResting-state functional connectivity dataStriatum/nucleus accumbensVentral striatum/nucleus accumbensResting-state functional connectivity studiesVentral anterior cingulate cortexCortico-striatal circuitsMagnetic Resonance Imaging AnalysisAnterior cingulate cortexFunctional connectivity studiesBasal gangliaControl subjectsFunctional connectivity dataAnterior thalamusRight putamenFrontal cortexNucleus accumbensDorsal striatumCerebellar cortexAbnormal neural connectivityCerebellar dysconnectivityCingulate cortexWhole brainFunctional magnetic resonance imaging (fMRI) analysisMulti-task connectivity reveals flexible hubs for adaptive task control
Cole MW, Reynolds JR, Power JD, Repovs G, Anticevic A, Braver TS. Multi-task connectivity reveals flexible hubs for adaptive task control. Nature Neuroscience 2013, 16: 1348-1355. PMID: 23892552, PMCID: PMC3758404, DOI: 10.1038/nn.3470.Peer-Reviewed Original ResearchCharacterizing Thalamo-Cortical Disturbances in Schizophrenia and Bipolar Illness
Anticevic A, Cole MW, Repovs G, Murray JD, Brumbaugh MS, Winkler AM, Savic A, Krystal JH, Pearlson GD, Glahn DC. Characterizing Thalamo-Cortical Disturbances in Schizophrenia and Bipolar Illness. Cerebral Cortex 2013, 24: 3116-3130. PMID: 23825317, PMCID: PMC4224238, DOI: 10.1093/cercor/bht165.Peer-Reviewed Original ResearchConceptsThalamo-cortical systemThalamic connectivityBipolar illnessResting-state functional magnetic resonance imagingSensory-motor cortexSevere mental illnessFunctional magnetic resonance imagingMagnetic resonance imagingThalamic dysconnectivityThalamic seedsClinical presentationNeuropsychiatric syndromeBrain dysconnectivityThalamic nucleiBipolar patientsSchizophrenia patientsSensory gatingMental illnessResonance imagingDysconnectivityCerebellar regionsDiagnostic membershipPrefrontal cortexSchizophreniaIllness