2024
Acute Stress Increases Striatal Connectivity With Cortical Regions Enriched for μ and κ Opioid Receptors
Zhukovsky P, Ironside M, Duda J, Moser A, Null K, Dhaynaut M, Normandin M, Guehl N, El Fakhri G, Alexander M, Holsen L, Misra M, Narendran R, Hoye J, Morris E, Esfand S, Goldstein J, Pizzagalli D. Acute Stress Increases Striatal Connectivity With Cortical Regions Enriched for μ and κ Opioid Receptors. Biological Psychiatry 2024, 96: 717-726. PMID: 38395372, PMCID: PMC11339240, DOI: 10.1016/j.biopsych.2024.02.005.Peer-Reviewed Original ResearchMajor depressive disorderFunctional connectivityEffects of stressAcute stressK-opioid receptorsStriatal connectivityEtiology of major depressive disorderCortical regionsMontreal Imaging Stress TaskEffects of acute stressGlobal FCIncreased striatal connectivityVentral attention/salience networkAllen Human Brain AtlasDefault mode networkCortical connectivityHuman Brain AtlasMDD studiesDepressive disorderFrontoparietal networkNeurobiological effectsMode networkStress taskDimensional approachMDD riskNeural Mechanisms of Resting-State Networks and the Amygdala Underlying the Cognitive and Emotional Effects of Psilocybin
Stoliker D, Novelli L, Vollenweider F, Egan G, Preller K, Razi A. Neural Mechanisms of Resting-State Networks and the Amygdala Underlying the Cognitive and Emotional Effects of Psilocybin. Biological Psychiatry 2024, 96: 57-66. PMID: 38185235, DOI: 10.1016/j.biopsych.2024.01.002.Peer-Reviewed Original ResearchCentral executive networkDefault mode networkResting-state networksEffective connectivitySalience networkNeural mechanismsAltered cognitionLarge-scale resting-state networksBasic cognitive functionsCognitive systemBehavioral measuresExecutive networkHierarchical organizationEmotional effectsMode networkCognitive functionSubcortical systemsSubjective experienceCognitionFunctional MRIPsychedelic therapyAmygdalaEmotionsHealthy adultsPsychiatric disorders
2023
Triple Interactions Between the Environment, Brain, and Behavior in Children: An ABCD Study
Zhi D, Jiang R, Pearlson G, Fu Z, Qi S, Yan W, Feng A, Xu M, Calhoun V, Sui J. Triple Interactions Between the Environment, Brain, and Behavior in Children: An ABCD Study. Biological Psychiatry 2023, 95: 828-838. PMID: 38151182, PMCID: PMC11006588, DOI: 10.1016/j.biopsych.2023.12.019.Peer-Reviewed Original ResearchFunctional network connectivityCognitive abilitiesABCD studyMental healthLongitudinal predictionBehavioral developmentSleep problemsBrain functional network connectivityHigher cognitive abilitiesDefault mode networkChildren's behavioral developmentUnique protective factorsBrain functional connectivityCognitive controlTriple interactionFamily conflictMode networkMediation analysisFunctional connectivityInfluence behaviorFunctional networksProtective factorsSchool environmentChildhood developmentEnvironmental exposuresBrain connectivity networks underlying resting heart rate variability in acute ischemic stroke
Dimova V, Welte-Jzyk C, Kronfeld A, Korczynski O, Baier B, Koirala N, Steenken L, Kollmann B, Tüscher O, Brockmann M, Birklein F, Muthuraman M. Brain connectivity networks underlying resting heart rate variability in acute ischemic stroke. NeuroImage Clinical 2023, 41: 103558. PMID: 38142520, PMCID: PMC10788522, DOI: 10.1016/j.nicl.2023.103558.Peer-Reviewed Original ResearchHeart rate variabilityAcute strokeLesion patternsStroke lesionsSex-matched normal subjectsAge-matched healthy subjectsLF powerRate variabilityAcute ischemic strokeAcute stroke patientsAcute stroke lesionsAnalysis of HRVResting-state brain networksDefault mode networkIschemic strokeStroke patientsVentral attention networkDiffusion-weighted imagesHRV alterationsSupine positionHealthy subjectsNormal subjectsBrain areasBrain regionsHRV parametersDynamic phase-locking states and personality in sub-acute mild traumatic brain injury: An exploratory study
van der Horn H, de Koning M, Visser K, Kok M, Spikman J, Scheenen M, Renken R, Calhoun V, Vergara V, Cabral J, Mayer A, van der Naalt J. Dynamic phase-locking states and personality in sub-acute mild traumatic brain injury: An exploratory study. PLOS ONE 2023, 18: e0295984. PMID: 38100479, PMCID: PMC10723684, DOI: 10.1371/journal.pone.0295984.Peer-Reviewed Original ResearchConceptsMild traumatic brain injuryDynamic functional network connectivityTraumatic brain injurySymptom severityEmotional instabilityAssociated with lower symptom severityMild traumatic brain injury patientsHead Injury Symptom ChecklistHealthy controlsPatients relative to HCMaladaptive personality characteristicsDefault mode networkTract-based spatial statisticsLower symptom severityBrain injuryPosterior corona radiataFunctional network connectivityPost-injuryMonths post-injuryLow extraversionHigh neuroticismSuperordinate factorDiffusion MRINeural underpinningsPersonality dimensionsLongitudinal resting-state network connectivity changes in electroconvulsive therapy patients compared to healthy controls
Verdijk J, van de Mortel L, Doesschate F, Pottkämper J, Stuiver S, Bruin W, Abbott C, Argyelan M, Ousdal O, Bartsch H, Narr K, Tendolkar I, Calhoun V, Lukemire J, Guo Y, Oltedal L, van Wingen G, van Waarde J. Longitudinal resting-state network connectivity changes in electroconvulsive therapy patients compared to healthy controls. Brain Stimulation 2023, 17: 140-147. PMID: 38101469, PMCID: PMC11145948, DOI: 10.1016/j.brs.2023.12.005.Peer-Reviewed Original ResearchDefault mode networkElectroconvulsive therapyHealthy controlsECT patientsResting-state networksTreatment effectivenessSalience networkElectroconvulsive therapy patientsWhole-brain voxel-wise analysisMajor depressive episodeCanonical resting-state networksRight frontoparietal networkVoxel-wise changesHigh treatment effectivenessVoxel-wise analysisNetwork connectivity changesTest-retest variabilityMulticenter studyDepressive episodeDepressed patientsTherapy patientsMagnetic resonance imaging dataDMN connectivityPatientsConnectivity changesAltered Resting-State Activity and Connectivity in Late-Life Depression with Suicidal Ideation
Wang L, Manning K, Pearlson G, Steffens D. Altered Resting-State Activity and Connectivity in Late-Life Depression with Suicidal Ideation. American Journal Of Geriatric Psychiatry 2023, 31: e22-e23. DOI: 10.1016/j.jagp.2023.02.031.Peer-Reviewed Original ResearchDefault mode networkVentrolateral prefrontal cortexLate-life depressionFunctional connectivityPrefrontal cortexOlder adultsOlder depressed adultsBrain activityDepressed adultsSuicidal ideationGreater brain activityVisual cortexWeaker functional connectivityStronger functional connectivityResting-state fMRI dataResting-state activitySuicidal behaviorWhole-brain voxelwiseNon-SI groupROI functional connectivityDepression severitySI groupCerebellar cortexCerebellar functional connectivityResting activityExtracting functional connectivity brain networks at the resting state from pulsed arterial spin labeling data
Wiseman N, Iraji A, Haacke E, Calhoun V, Kou Z. Extracting functional connectivity brain networks at the resting state from pulsed arterial spin labeling data. Meta-Radiology 2023, 1: 100023. PMID: 38298860, PMCID: PMC10830167, DOI: 10.1016/j.metrad.2023.100023.Peer-Reviewed Original ResearchDefault mode networkMild traumatic brain injuryBrain networksRsfMRI dataFunctional connectivity brain networksResting state networksArterial spin labelingMild traumatic brain injury patientsResting state functional magnetic resonance imagingFunctional magnetic resonance imagingHealthy controlsFunctional connectivity informationBlood oxygen levelTraumatic brain injuryBOLD signalMode networkFunctional connectivitySpin labelingBlood flow changesMagnetic resonance imagingNeuronal activityResponse to activationPulsed ASLBOLDRetrospective studyPeripheral inflammatory subgroup differences in anterior Default Mode network and multiplex functional network topology are associated with cognition in psychosis
Lizano P, Kiely C, Mijalkov M, Meda S, Keedy S, Hoang D, Zeng V, Lutz O, Pereira J, Ivleva E, Volpe G, Xu Y, Lee A, Rubin L, Hill S, Clementz B, Tamminga C, Pearlson G, Sweeney J, Gershon E, Keshavan M, Bishop J. Peripheral inflammatory subgroup differences in anterior Default Mode network and multiplex functional network topology are associated with cognition in psychosis. Brain Behavior And Immunity 2023, 114: 3-15. PMID: 37506949, PMCID: PMC10592140, DOI: 10.1016/j.bbi.2023.07.014.Peer-Reviewed Original ResearchConceptsResting-state networksHealthy controlsInter-network connectivityWorse verbal fluencyAnterior default mode networkC-reactive proteinResting-state functional networksDefault mode network connectivityRight frontoparietal networkMode network connectivityWorse cognitive performanceResting-state fMRIDefault mode networkFunctional network topologyInflammatory signatureSystemic inflammationInflammatory subgroupIL-6Neuroanatomical alterationsPsychosis probandsCo-activation patternsPsychosis spectrum disordersNetwork dysfunctionMultiple comparison correctionClinical implicationsEvaluation of the default mode network using nonnegative matrix factorization in patients with cognitive impairment induced by occupational aluminum exposure
Zhang F, Liu B, Shao Y, Tan Y, Niu Q, Wang X, Zhang H. Evaluation of the default mode network using nonnegative matrix factorization in patients with cognitive impairment induced by occupational aluminum exposure. Cerebral Cortex 2023, 33: 9815-9821. PMID: 37415087, DOI: 10.1093/cercor/bhad246.Peer-Reviewed Original ResearchConceptsMild cognitive impairmentGray matter volumeDefault mode networkMatter volumePlasma Al concentrationMoCA scoresCognitive impairmentOccupational aluminium exposureMode networkRey Auditory Verbal Learning Test scoreAVLT scoresEnvironmental pathogenic factorsMontreal Cognitive AssessmentStructural covariance networksPathogenic factorsAluminum exposureMale subjectsPatientsNetwork alterationsNeurodegenerative diseasesCognitive AssessmentGroup comparisonsCovariance networksVerbal memoryNeural mechanismsPerception and memory retrieval states are reflected in distributed patterns of background functional connectivity
Li Y, Wang Y, Turk-Browne N, Kuhl B, Hutchinson J. Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity. NeuroImage 2023, 276: 120221. PMID: 37290674, PMCID: PMC10484747, DOI: 10.1016/j.neuroimage.2023.120221.Peer-Reviewed Original ResearchConceptsDefault mode networkMemory retrievalCognitive stateRetrieval statesRetrosplenial cortexFunctional connectivityDistinct neural statesTarget of perceptionLarge-scale brain networksControl networkHuman neuroimaging studiesSame visual inputPerception statesCognitive processingBackground connectivityHuman fMRIVisual stimuliNeuroimaging studiesBrain networksMode networkNeural statesVisual inputNeural activityPatterns of connectivityPerceptionAge-related reduction in trait anxiety: Behavioral and neural evidence of automaticity in negative facial emotion processing
Chaudhary S, Zhang S, Zhornitsky S, Chen Y, Chao H, Li C. Age-related reduction in trait anxiety: Behavioral and neural evidence of automaticity in negative facial emotion processing. NeuroImage 2023, 276: 120207. PMID: 37263454, PMCID: PMC10330646, DOI: 10.1016/j.neuroimage.2023.120207.Peer-Reviewed Original ResearchConceptsFaster reaction timesNegative emotionsAge-related declineEmotional stimuliTrait anxietyAge-related reductionReaction timeEmotion regulation literatureSalient emotional stimuliPositive emotional stimuliFacial emotion processingPrefrontal cortical responsesRostral anterior cingulate cortexWhole-brain regressionAnterior cingulate activityDefault mode networkAnterior cingulate cortexEmotion regulationNeural evidenceEmotion processingDorsolateral PFCStimulus registrationDiminished anxietyPsychophysiological interactionEmotional circuitsConnectome-based prediction of craving in gambling disorder and cocaine use disorder
Antons S, Yip S, Lacadie C, Dadashkarimi J, Scheinost D, Brand M, Potenza M. Connectome-based prediction of craving in gambling disorder and cocaine use disorder. Dialogues In Clinical Neuroscience 2023, 25: 33-42. PMID: 37190759, PMCID: PMC10190201, DOI: 10.1080/19585969.2023.2208586.Peer-Reviewed Original ResearchConceptsCocaine use disorderGambling disorderBehavioral addictionsCue-reactivity taskComponents of memoryGeneral neural mechanismCommon neural networkFunctional magnetic resonanceMedial frontal regionsDefault mode networkFeatures of addictionAutobiographical memoryValence ratingsMeta-analytic dataPrefrontal regionsNeural mechanismsPrefrontal cortexFronto-parietalFrontal regionsMotor imageryMotor/Diverse sampleLimbic networkNeural connectivityCravingNeural signatures of second language proficiency in narrative processing
Zhang R, Wang J, Lin H, Turk-Browne N, Cai Q. Neural signatures of second language proficiency in narrative processing. Cerebral Cortex 2023, 33: 8477-8484. PMID: 37100085, DOI: 10.1093/cercor/bhad133.Peer-Reviewed Original ResearchConceptsSecond language proficiencyHigh second-language proficiencyProficiency levelsCore language networkCognitive control networkLateral prefrontal cortexSense of speechSemantic processing areasDefault mode networkDifferent proficiency levelsNeural signaturesNarrative comprehensionNarrative processingLanguage tasksNeural processingIntersubject synchronizationProcessing demandsLanguage networkBehavioral performanceNaturalistic languageProficient participantsSecond languageBrain activityMode networkPrefrontal cortexTransdiagnostic Connectome-Based Prediction of Craving
Garrison K, Sinha R, Potenza M, Gao S, Liang Q, Lacadie C, Scheinost D. Transdiagnostic Connectome-Based Prediction of Craving. American Journal Of Psychiatry 2023, 180: 445-453. PMID: 36987598, DOI: 10.1176/appi.ajp.21121207.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingImagery conditionFunctional connectomeSelf-reported cravingStudy of motivationDefault mode networkFunctional connectivity dataIndependent samplesKey phenomenological featuresNeural signaturesTransdiagnostic sampleTransdiagnostic perspectiveMode networkMotivated behaviorCentral constructAddictive disordersHuman behaviorConnectivity dataPhenomenological featuresStrongest predictorCravingTaskSubstance use-related disordersConnectomeIndividualsConnectome-based predictive modeling shows sex differences in brain-based predictors of memory performance
Ju S, Horien C, Shen X, Abuwarda H, Trainer A, Constable R, Fredericks C. Connectome-based predictive modeling shows sex differences in brain-based predictors of memory performance. Frontiers In Dementia 2023, 2: 1126016. PMID: 39082002, PMCID: PMC11285565, DOI: 10.3389/frdem.2023.1126016.Peer-Reviewed Original ResearchDefault mode networkConnectome-based predictive modelingMemory performanceMemory taskMemory scoresShort-term memory performanceBrain-based predictorsShort-term memoryPosterior default mode networkAmnestic Alzheimer's diseaseRecollective memoryDMN activityMode networkVisual networkPast researchSex-specific modelsVisual circuitryAlzheimer's diseaseSex differencesMemoryDifferent circuitryTaskElevated riskMachine learning approachesNetwork activityLinking resting-state network fluctuations with systems of coherent synaptic density: A multimodal fMRI and 11C-UCB-J PET study
Fang X, Volpi T, Holmes S, Esterlis I, Carson R, Worhunsky P. Linking resting-state network fluctuations with systems of coherent synaptic density: A multimodal fMRI and 11C-UCB-J PET study. Frontiers In Human Neuroscience 2023, 17: 1124254. PMID: 36908710, PMCID: PMC9995441, DOI: 10.3389/fnhum.2023.1124254.Peer-Reviewed Original ResearchSynaptic densityRSN activityResting-state network connectivityRSN functional connectivityAnterior default mode networkJ PET studyResting-state fMRIBrain functional organizationDefault mode networkHealthy adult participantsExecutive control networkRSN connectivityFunctional organizationPsychiatric disordersMedial prefrontalSalience networkPET studiesFunctional connectivityHealthy agingFractional amplitudeLow-frequency fluctuationsNeurophysiological linkSynaptic architectureAdult participantsDefault-mode activityPopulation level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among children
Lin H, Haider S, Kaltenhauser S, Mozayan A, Malhotra A, Constable R, Scheinost D, Ment L, Konrad K, Payabvash S. Population level multimodal neuroimaging correlates of attention-deficit hyperactivity disorder among children. Frontiers In Neuroscience 2023, 17: 1138670. PMID: 36908780, PMCID: PMC9992191, DOI: 10.3389/fnins.2023.1138670.Peer-Reviewed Original ResearchAttention deficit hyperactivity disorderADHD diagnosisHyperactivity disorderChildhood attention deficit hyperactivity disorderAssociation of ADHDDorsal attention networkFunctional MRI studyDefault mode networkResting-state fMRIADHD childrenAttention functionLimitations of machineAttention networkFrontal regionsNeuroimaging datasetsNeurobiological implicationsParietal lobeFrontal lobe cortexCortical volumeFractional anisotropyFunctional neuroimaging datasetsChildrenWhite matter tractsNeurite densityMicrostructural integrityPolygenic risk score for attention‐deficit/hyperactivity disorder and brain functional networks segregation in a community‐based sample
Sato J, Biazoli C, Bueno A, Caye A, Pan P, Santoro M, Honorato‐Mauer J, Salum G, Hoexter M, Bressan R, Jackowski A, Miguel E, Belangero S, Rohde L. Polygenic risk score for attention‐deficit/hyperactivity disorder and brain functional networks segregation in a community‐based sample. Genes Brain & Behavior 2023, 22: e12838. PMID: 36811275, PMCID: PMC10067387, DOI: 10.1111/gbb.12838.Peer-Reviewed Original ResearchConceptsCingulo-opercular networkDefault mode networkADHD-PRSAttentional networksFunctional segregationAttention-deficit/hyperactivity disorder (ADHD) symptomsAttention-deficit/hyperactivity disorderLarge-scale brain networksADHD polygenic risk scoresHyperactivity disorder symptomsSegregation of networksFunctional network segregationLongitudinal community-based cohortAttentional processesRs-fMRI dataExecutive functionHyperactivity disorderDisorder symptomsBrain networksCommunity-based sampleProbable ADHDADHDNetwork segregationPolygenic risk scoresDirection of association
2022
Sex differences in default mode network connectivity in healthy aging adults
Ficek-Tani B, Horien C, Ju S, Xu W, Li N, Lacadie C, Shen X, Scheinost D, Constable T, Fredericks C. Sex differences in default mode network connectivity in healthy aging adults. Cerebral Cortex 2022, 33: 6139-6151. PMID: 36563018, PMCID: PMC10183749, DOI: 10.1093/cercor/bhac491.Peer-Reviewed Original ResearchConceptsDefault mode networkPreclinical Alzheimer's diseaseAlzheimer's diseaseSex differencesBrain connectivity changesDefault mode network connectivityIntrinsic connectivity distributionSeed-based analysisMode network connectivityMedial prefrontal cortexPosterior DMN nodesHealthy aging adultsImpact of sexLifetime riskDMN connectivityWhole brainPosterior cingulateDMN nodesSignificant sex differencesPrefrontal cortexConnectivity changesAging AdultsHealthy participantsDMN functionMode network
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