2014
Ventral 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 cortex
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
2012
NMDA receptor function in large-scale anticorrelated neural systems with implications for cognition and schizophrenia
Anticevic A, Gancsos M, Murray JD, Repovs G, Driesen NR, Ennis DJ, Niciu MJ, Morgan PT, Surti TS, Bloch MH, Ramani R, Smith MA, Wang XJ, Krystal JH, Corlett PR. NMDA receptor function in large-scale anticorrelated neural systems with implications for cognition and schizophrenia. Proceedings Of The National Academy Of Sciences Of The United States Of America 2012, 109: 16720-16725. PMID: 23012427, PMCID: PMC3478611, DOI: 10.1073/pnas.1208494109.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlgorithmsBrainCognitionDouble-Blind MethodExcitatory Amino Acid AntagonistsFemaleHumansInfusions, IntravenousKetamineMagnetic Resonance ImagingMaleMemoryModels, NeurologicalPattern Recognition, VisualPsychomotor PerformanceReceptors, N-Methyl-D-AspartateSchizophreniaSynaptic TransmissionYoung AdultConceptsNeural systemsLarge-scale brain systemsTask-dependent activationN-methyl-D-aspartate receptorsRealistic computational modelingSevere neuropsychiatric illnessNMDA glutamate receptor antagonistGlutamate receptor antagonistsBrain systemsNMDA receptor functionTask performanceMultiple interacting regionsCognitionCortical disinhibitionGlutamatergic neurotransmissionReceptor antagonistCortical computationGlutamate's roleReciprocal relationshipNeuropsychiatric illnessLocal circuitsReceptor functionSchizophreniaPresent findingsComputational modelingGlobal Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence
Cole MW, Yarkoni T, Repovš G, Anticevic A, Braver TS. Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence. Journal Of Neuroscience 2012, 32: 8988-8999. PMID: 22745498, PMCID: PMC3392686, DOI: 10.1523/jneurosci.0536-12.2012.Peer-Reviewed Original ResearchConceptsCognitive controlHuman intelligenceSuch cognitive controlHigh control demandsControl of thoughtsHigh global connectivityLPFC regionsMemory taskFluid intelligenceIndividual differencesFrontoparietal networkControl demandsPrefrontal cortexSelective relationshipControl processRegion activityIntelligenceDiverse contextsGlobal connectivityConnectivityLPFCTaskCortexThoughtContext
2011
Automated landmark identification for human cortical surface-based registration
Anticevic A, Repovs G, Dierker DL, Harwell JW, Coalson TS, Barch DM, Van Essen DC. Automated landmark identification for human cortical surface-based registration. NeuroImage 2011, 59: 2539-2547. PMID: 21925612, PMCID: PMC3476835, DOI: 10.1016/j.neuroimage.2011.08.093.Peer-Reviewed Original Research
2010
Resisting emotional interference: Brain regions facilitating working memory performance during negative distraction
Anticevic A, Barch D, Repovs G. Resisting emotional interference: Brain regions facilitating working memory performance during negative distraction. Cognitive, Affective, & Behavioral Neuroscience 2010, 10: 159-173. PMID: 20498341, PMCID: PMC3856369, DOI: 10.3758/cabn.10.2.159.Peer-Reviewed Original ResearchConceptsPrefrontal cortical regionsNegative distractionPrefrontal regionsEmotional interferenceNeutral distractionIncorrect trialsCortical regionsPrefrontal cortexNegative emotional distractionActive cognitive engagementLateral prefrontal regionsVentrolateral prefrontal regionsFrontopolar prefrontal cortexSurvival-relevant informationParietal cortical regionsEmotional distractionWM performanceCognitive operationsAmygdala signalMemory performanceCognitive engagementIndividual differencesAmygdala activityActivation differencesMore deactivation
2009
When less is more: TPJ and default network deactivation during encoding predicts working memory performance
Anticevic A, Repovs G, Shulman GL, Barch DM. When less is more: TPJ and default network deactivation during encoding predicts working memory performance. NeuroImage 2009, 49: 2638-2648. PMID: 19913622, PMCID: PMC3226712, DOI: 10.1016/j.neuroimage.2009.11.008.Peer-Reviewed Original ResearchConceptsTemporo-parietal junctionDefault mode networkWM performanceDMN deactivationSlow event-related fMRIDefault network deactivationBetter WM performanceTask-relevant featuresEvent-related fMRITypes of distractersVentral attention networkStronger functional connectivityRapid visual searchFunctional connectivity resultsWM encodingWM taskTask demandsDistracter stimuliMemory performanceCognitive engagementVisual searchFunctional dissociationIrrelevant objectsAttention networkMode network