2025
Connecting the dots: approaching a standardized nomenclature for molecular connectivity in positron emission tomography
Reed M, Cocchi L, Sander C, Chen J, Matheson G, Fisher P, Volpi T, Khattar N, DeLorenzo C, Gryglewski G, Silberbauer L, Murgaš M, Godbersen G, Nics L, Walter M, Hacker M, Bertoldo A, Lubberink M, Silfstein M, Ogden R, Mann J, Suhara T, Varrone A, Boellaard R, Gunn R, Hammers A, Biswal B, Rosen B, Knudsen G, Carson R, Price J, Lanzenberger R, Hahn A. Connecting the dots: approaching a standardized nomenclature for molecular connectivity in positron emission tomography. European Journal Of Nuclear Medicine And Molecular Imaging 2025, 1-11. PMID: 40455254, DOI: 10.1007/s00259-025-07357-1.Peer-Reviewed Original ResearchFunctional connectivityFMRI resting-state functional connectivityResting-state functional connectivityNeurobiological underpinningsMeasured PET signalBrain regionsConnectivity analysisPositron emission tomographyConnectivity metricsConnectivity studiesBetween-subjectsPET signalEmission tomographyBrainImaging modalitiesDiverse methodologiesMolecular connectivityMolecular covariatesFMRIPositronIdentifying dynamic reproducible brain states using a predictive modelling approach
O’Connor D, Horien C, Mandino F, Constable R. Identifying dynamic reproducible brain states using a predictive modelling approach. Imaging Neuroscience 2025, 3: imag_a_00540. DOI: 10.1162/imag_a_00540.Peer-Reviewed Original ResearchMoment-to-moment changesBrain statesConnectome-based predictive modelingContinuous performance taskBrain-based modelsFunctional connectivity analysisModel of traitsFMRI-based functional connectivityDynamic functional connectivity analysisInternal mental processesFunctional connectivity mapsFunctional connectivity modelsLeft-out dataFMRI scanningPersonality traitsFunctional connectivityPerformance tasksConnectivity analysisScanning sessionMental processesModels of behaviorBrain-statesBrainConnectivity mapsTrait-based predictions
2024
Networks extracted from nonlinear fMRI connectivity exhibit unique spatial variation and enhanced sensitivity to differences between individuals with schizophrenia and controls
Kinsey S, Kazimierczak K, Camazón P, Chen J, Adali T, Kochunov P, Adhikari B, Ford J, van Erp T, Dhamala M, Calhoun V, Iraji A. Networks extracted from nonlinear fMRI connectivity exhibit unique spatial variation and enhanced sensitivity to differences between individuals with schizophrenia and controls. Nature Mental Health 2024, 2: 1464-1475. PMID: 39650801, PMCID: PMC11621020, DOI: 10.1038/s44220-024-00341-y.Peer-Reviewed Original ResearchSelf-referential cognitionFunctional magnetic resonance imaging connectivityFunctional brain connectivityCingulo-opercularDefault-modeSchizophrenia diagnosisExecutive regionsFMRI connectivityFunctional connectivityConnectivity analysisSchizophreniaSensitive to differencesBrain connectivityFunctional connectivity structureWidespread alterationsImaging connectivityIndependent component analysisBrain phenomenaNetwork integrationHypoconnectivityPsychosisCognitionCore regionNonlinear networksCase-control datasetMultimodal evidence for cerebellar influence on cortical development in autism: structural growth amidst functional disruption
d’Oleire Uquillas F, Sefik E, Li B, Trotter M, Steele K, Seidlitz J, Gesue R, Latif M, Fasulo T, Zhang V, Kislin M, Verpeut J, Cohen J, Sepulcre J, Wang S, Gomez J. Multimodal evidence for cerebellar influence on cortical development in autism: structural growth amidst functional disruption. Molecular Psychiatry 2024, 30: 1558-1572. PMID: 39390225, DOI: 10.1038/s41380-024-02769-1.Peer-Reviewed Original ResearchAutism spectrum disorderNeurotypical childrenFunctional connectivityMultimodal evidenceFunctional connectivity analysisModel of autismCerebro-cerebellar pathwayAtypical connectivitySpectrum disorderConnectivity analysisEarly adolescenceASD childrenCerebellar influenceBehavioral developmentNeurodevelopmental disordersFunctional-structural relationshipsCerebellar structuresAutismYoung childhoodLiving brainCerebellumFunctional synchronizationThalamusSignificant lateralizationCerebral cortexIntegrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks
Qu G, Zhou Z, Calhoun V, Zhang A, Wang Y. Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks. Medical Image Analysis 2024, 103: 103570. PMID: 39253637, PMCID: PMC11383444, DOI: 10.1016/j.media.2025.103570.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingDiffusion tensor imagingStructural MRIBrain connectivity analysisBrain connectivityNeural connectionsGraph neural networksStructural connectivityBrain structuresCognitive functionConnectivity analysisNeuroimaging modelsNeural networkCognitive developmentFunctional networksCortical hubs of highly superior autobiographical memory
Orwig W, Diez I, Bueichekú E, Pedale T, Parente F, Campolongo P, Schacter D, Sepulcre J, Santangelo V. Cortical hubs of highly superior autobiographical memory. Cortex 2024, 179: 14-24. PMID: 39094240, DOI: 10.1016/j.cortex.2024.06.018.Peer-Reviewed Original ResearchConceptsSuperior autobiographical memoryAutobiographical memoryCortical hubsWhole-brain connectivity analysisPattern of increased connectivityResting-state fMRI dataWhole-brain analysisAutobiographical memory networkPosterior cingulate cortexMidline areaSeed-based analysisFunctional brain connectivityGraph theory analysisCingulate cortexNeural underpinningsNeuroimaging studiesEnhance memoryRemembering eventsBrain regionsControl participantsConnectivity analysisFMRI dataBrain connectivityCortical regionsWhole-brainMedial Amygdalar Tau Is Associated With Mood Symptoms in Preclinical Alzheimer’s Disease
Li J, Tun S, Ficek-Tani B, Xu W, Wang S, Horien C, Toyonaga T, Nuli S, Zeiss C, Powers A, Zhao Y, Mormino E, Fredericks C. Medial Amygdalar Tau Is Associated With Mood Symptoms in Preclinical Alzheimer’s Disease. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2024, 9: 1301-1311. PMID: 39059466, PMCID: PMC11625605, DOI: 10.1016/j.bpsc.2024.07.012.Peer-Reviewed Original ResearchAssociated with mood symptomsMood symptomsAmyloid-positive individualsMedial amygdalaSeed-based functional connectivity analysisAssociated with anxiety symptomsSelf-reported mood symptomsPost hoc correlation analysisAlzheimer's diseaseFunctional connectivity analysisPreclinical Alzheimer's diseaseTau bindingOrbitofrontal cortexTau depositionAmygdalar connectivityEmotional processingAnxiety symptomsRetrosplenial cortexBetween-group differencesAmygdalaFunctional connectivityLateral amygdalaConnectivity analysisDepression scoresNeuropsychiatric symptomsDynamic Functional Connectivity Correlates of Trait Mindfulness in Early Adolescence
Treves I, Marusak H, Decker A, Kucyi A, Hubbard N, Bauer C, Leonard J, Grotzinger H, Giebler M, Torres Y, Imhof A, Romeo R, Calhoun V, Gabrieli J. Dynamic Functional Connectivity Correlates of Trait Mindfulness in Early Adolescence. Biological Psychiatry Global Open Science 2024, 4: 100367. PMID: 39286525, PMCID: PMC11402920, DOI: 10.1016/j.bpsgos.2024.100367.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingTrait mindfulnessFunctional connectivity analysisDynamic functional connectivity analysisBrain statesConnectivity analysisSelf-reported trait mindfulnessResting-state fMRI scansHigher trait mindfulnessPresent-moment experienceFunctional connectivity correlatesDynamic brain statesStatic functional connectivityState-of-mindTest-retest reliabilityAdolescent anxietyFMRI scanningNeural basisPsychiatric disordersDepressive symptomsNeural mechanismsLower anxietyFunctional connectivityEarly adolescenceConnectivity correlationsThe overlap across psychotic disorders: A functional network connectivity analysis
Dini H, Bruni L, Ramsøy T, Calhoun V, Sendi M. The overlap across psychotic disorders: A functional network connectivity analysis. International Journal Of Psychophysiology 2024, 201: 112354. PMID: 38670348, PMCID: PMC11163820, DOI: 10.1016/j.ijpsycho.2024.112354.Peer-Reviewed Original ResearchConceptsFunctional network connectivitySchizoaffective disorderPsychotic disordersHealthy controlsBipolar-Schizophrenia NetworkFunctional network connectivity analysisStatic functional network connectivityResting-state fMRINetwork connectivity analysisPatterns of activityPsychiatric disordersDisorder groupSchizophreniaConnectivity analysisHC groupBipolarConnectivity patternsDisordersPatient groupSymptom scoresGroup of patientsPANSSSchizoaffectiveFMRINetwork connectivityDevelopmentally sensitive multispectral cortical connectivity profiles serving visual selective attention
Son J, Killanin A, Arif Y, Johnson H, Okelberry H, Weyrich L, Wang Y, Calhoun V, Stephen J, Taylor B, Wilson T. Developmentally sensitive multispectral cortical connectivity profiles serving visual selective attention. Developmental Cognitive Neuroscience 2024, 66: 101371. PMID: 38582064, PMCID: PMC11004069, DOI: 10.1016/j.dcn.2024.101371.Peer-Reviewed Original ResearchBrain regionsConnectivity profilesSensitive to developmental changesWhole-brain connectivity analysisMultiple cognitive domainsVisual selective attentionOscillatory brain responsesNeural oscillatory dynamicsYouth aged 6Pubertal transition periodPrefrontal cortexExecutive functionTemporoparietal junctionCognitive domainsBrain responsesSelective attentionDevelopmental sensitivityAge-related changesConnectivity analysisPeak voxelsCortical connectivity profilesDevelopmental changesGamma rangeCerebellar cortexBrainNewborn Brain Function and Early Emerging Callous-Unemotional Traits
Brady R, Donohue M, Waller R, Latham A, Ayala M, Smyser T, Warner B, Barch D, Luby J, Rogers C, Smyser C. Newborn Brain Function and Early Emerging Callous-Unemotional Traits. JAMA Psychiatry 2024, 81: 303-311. PMID: 38117491, PMCID: PMC10733851, DOI: 10.1001/jamapsychiatry.2023.4842.Peer-Reviewed Original ResearchConceptsCallous-unemotional traitsMedial prefrontal cortexChild externalizing symptomsCingulo-opercular networkFunctional connectivityExternalizing symptomsInventory of Callous-Unemotional TraitsChild callous-unemotional traitsBrain functionAssociated with lower empathyNovel intervention developmentPersistent conduct problemsExposure to socioeconomic disadvantageAt-risk childrenCallous-unemotionalNeurobiological underpinningsPrefrontal cortexLow empathyLow prosocialityNeural mechanismsBrain regionsConnectivity analysisDevelopment of novel treatmentsProsocialityLongitudinal cohort studyPlasma oxidative stress marker levels related to functional brain abnormalities in first-episode drug-naive major depressive disorder
Liu Y, Zhang B, Zhou Y, Li M, Gao Y, Qin W, Xie Y, Liu W, Jing Y, Li J. Plasma oxidative stress marker levels related to functional brain abnormalities in first-episode drug-naive major depressive disorder. Psychiatry Research 2024, 333: 115742. PMID: 38232568, DOI: 10.1016/j.psychres.2024.115742.Peer-Reviewed Original ResearchConceptsMajor depressive disorderMajor depressive disorder patientsAmplitude of low-frequency fluctuationDepressive disorderSuicidal ideationWhole-brain functional connectivity analysisMDD pathophysiologyDrug-naive MDD patientsResting-state fMRI scansAmplitude of low-frequency fluctuation valuesFunctional brain abnormalitiesAnterior cingulate gyrusSuperior frontal gyrusFunctional connectivity analysisOxidative stress markersAbnormal brain functionLow-frequency fluctuationsPlasma oxidative stress markersMDD patientsFrontal gyrusFMRI scanningFirst-episodeCingulate gyrusBrain regionsConnectivity analysis
2023
A consensus protocol for functional connectivity analysis in the rat brain
Grandjean J, Desrosiers-Gregoire G, Anckaerts C, Angeles-Valdez D, Ayad F, Barrière D, Blockx I, Bortel A, Broadwater M, Cardoso B, Célestine M, Chavez-Negrete J, Choi S, Christiaen E, Clavijo P, Colon-Perez L, Cramer S, Daniele T, Dempsey E, Diao Y, Doelemeyer A, Dopfel D, Dvořáková L, Falfán-Melgoza C, Fernandes F, Fowler C, Fuentes-Ibañez A, Garin C, Gelderman E, Golden C, Guo C, Henckens M, Hennessy L, Herman P, Hofwijks N, Horien C, Ionescu T, Jones J, Kaesser J, Kim E, Lambers H, Lazari A, Lee S, Lillywhite A, Liu Y, Liu Y, López -Castro A, López-Gil X, Ma Z, MacNicol E, Madularu D, Mandino F, Marciano S, McAuslan M, McCunn P, McIntosh A, Meng X, Meyer-Baese L, Missault S, Moro F, Naessens D, Nava-Gomez L, Nonaka H, Ortiz J, Paasonen J, Peeters L, Pereira M, Perez P, Pompilus M, Prior M, Rakhmatullin R, Reimann H, Reinwald J, Del Rio R, Rivera-Olvera A, Ruiz-Pérez D, Russo G, Rutten T, Ryoke R, Sack M, Salvan P, Sanganahalli B, Schroeter A, Seewoo B, Selingue E, Seuwen A, Shi B, Sirmpilatze N, Smith J, Smith C, Sobczak F, Stenroos P, Straathof M, Strobelt S, Sumiyoshi A, Takahashi K, Torres-García M, Tudela R, van den Berg M, van der Marel K, van Hout A, Vertullo R, Vidal B, Vrooman R, Wang V, Wank I, Watson D, Yin T, Zhang Y, Zurbruegg S, Achard S, Alcauter S, Auer D, Barbier E, Baudewig J, Beckmann C, Beckmann N, Becq G, Blezer E, Bolbos R, Boretius S, Bouvard S, Budinger E, Buxbaum J, Cash D, Chapman V, Chuang K, Ciobanu L, Coolen B, Dalley J, Dhenain M, Dijkhuizen R, Esteban O, Faber C, Febo M, Feindel K, Forloni G, Fouquet J, Garza-Villarreal E, Gass N, Glennon J, Gozzi A, Gröhn O, Harkin A, Heerschap A, Helluy X, Herfert K, Heuser A, Homberg J, Houwing D, Hyder F, Ielacqua G, Jelescu I, Johansen-Berg H, Kaneko G, Kawashima R, Keilholz S, Keliris G, Kelly C, Kerskens C, Khokhar J, Kind P, Langlois J, Lerch J, López-Hidalgo M, Manahan-Vaughan D, Marchand F, Mars R, Marsella G, Micotti E, Muñoz-Moreno E, Near J, Niendorf T, Otte W, Pais-Roldán P, Pan W, Prado-Alcalá R, Quirarte G, Rodger J, Rosenow T, Sampaio-Baptista C, Sartorius A, Sawiak S, Scheenen T, Shemesh N, Shih Y, Shmuel A, Soria G, Stoop R, Thompson G, Till S, Todd N, Van Der Linden A, van der Toorn A, van Tilborg G, Vanhove C, Veltien A, Verhoye M, Wachsmuth L, Weber-Fahr W, Wenk P, Yu X, Zerbi V, Zhang N, Zhang B, Zimmer L, Devenyi G, Chakravarty M, Hess A. A consensus protocol for functional connectivity analysis in the rat brain. Nature Neuroscience 2023, 26: 673-681. PMID: 36973511, PMCID: PMC10493189, DOI: 10.1038/s41593-023-01286-8.Peer-Reviewed Original Research
2021
Longitudinal hippocampal circuit change differentiates persistence and remission of pediatric posttraumatic stress disorder
George G, Keding T, Heyn S, Herringa R. Longitudinal hippocampal circuit change differentiates persistence and remission of pediatric posttraumatic stress disorder. Depression And Anxiety 2021, 39: 8-18. PMID: 34843625, PMCID: PMC8763137, DOI: 10.1002/da.23229.Peer-Reviewed Original ResearchConceptsPediatric posttraumatic stress disorderFunctional magnetic resonance imagingPosttraumatic stress disorderTD youthHippocampal activationStress disorderFunctional connectivityEmotional processing taskFunctional brain substratesHippocampal functional connectivityFunctional connectivity analysisFunctional brain abnormalitiesPTSD youthEmotion processingThreat stimuliNeutral imagesPediatric PTSDBrain substratesPTSD groupActivation findingsConnectivity analysisProcessing tasksVisual cortexLongitudinal studyYouthMultifractal Functional Connectivity Analysis of Electroencephalogram Reveals Reorganization of Brain Networks in a Visual Pattern Recognition Paradigm
Stylianou O, Racz F, Kim K, Kaposzta Z, Czoch A, Yabluchanskiy A, Eke A, Mukli P. Multifractal Functional Connectivity Analysis of Electroencephalogram Reveals Reorganization of Brain Networks in a Visual Pattern Recognition Paradigm. Frontiers In Human Neuroscience 2021, 15: 740225. PMID: 34733145, PMCID: PMC8558231, DOI: 10.3389/fnhum.2021.740225.Peer-Reviewed Original ResearchFunctional connectivityHigher-order brain functionsFunctional connectivity analysisEyes-open stateBrain reorganizationHealthy volunteersBrain regionsBrain functionBrain connectivityDiseased populationsAnatomical networksSuccess rateFunctional couplingBrain networksEndpoint parametersNeuronal assembliesHuman brainConnectivity analysisObserved regional heterogeneityRecognition trialsLevelsRegional heterogeneityBrainTrialsRecognition paradigmA Systematic Review of the Association between Amyloid-β and τ Pathology with Functional Connectivity Alterations in the Alzheimer Dementia Spectrum Utilizing PET Scan and rsfMRI
Hasani S, Mayeli M, Salehi M, Parizi R. A Systematic Review of the Association between Amyloid-β and τ Pathology with Functional Connectivity Alterations in the Alzheimer Dementia Spectrum Utilizing PET Scan and rsfMRI. Dementia And Geriatric Cognitive Disorders Extra 2021, 11: 78-90. PMID: 34178011, PMCID: PMC8216015, DOI: 10.1159/000516164.Peer-Reviewed Original ResearchAmyloid-bProtein depositionSystematic reviewAmyloid hypothesisAlzheimer's dementiaGlobal connectivity analysisAmyloidAmyloid accumulationNewcastle-Ottawa ScaleStages of Alzheimer's dementiaT depositionConnectivity analysisFunctional connectivityPROSPERO guidelinesProteinNewcastle-OttawaAlzheimerInvestigated diseasesTransneuronal spreadResearch protocolPosterior default mode networkSeed-based connectivity analysisDementiaProtocol approvalResting-state functional MRIThe manifestation of individual differences in sensitivity to punishment during resting state is modulated by eye state
Costumero V, Adrián-Ventura J, Bueichekú E, Miró-Padilla A, Palomar-García M, Marin-Marin L, Villar-Rodríguez E, Aguirre N, Barrós-Loscertales A, Ávila C. The manifestation of individual differences in sensitivity to punishment during resting state is modulated by eye state. Cognitive, Affective, & Behavioral Neuroscience 2021, 21: 144-155. PMID: 33432544, DOI: 10.3758/s13415-020-00856-8.Peer-Reviewed Original ResearchConceptsSensitivity to punishmentFunctional connectivitySeed-based functional connectivity analysisResting stateFunctional neuroimaging studiesFunctional connectivity analysisFear and anxietyBrain functional connectivityGroups of participantsReward QuestionnaireLeft hippocampusNeuroimaging studiesMethodological manipulationsConnectivity analysisAmygdalaHippocampusBrainPunishmentPAGParticipantsFMRIAnxietyRelationshipConnectionEyes
2020
Low-motion fMRI data can be obtained in pediatric participants undergoing a 60-minute scan protocol
Horien C, Fontenelle S, Joseph K, Powell N, Nutor C, Fortes D, Butler M, Powell K, Macris D, Lee K, Greene AS, McPartland JC, Volkmar FR, Scheinost D, Chawarska K, Constable RT. Low-motion fMRI data can be obtained in pediatric participants undergoing a 60-minute scan protocol. Scientific Reports 2020, 10: 21855. PMID: 33318557, PMCID: PMC7736342, DOI: 10.1038/s41598-020-78885-z.Peer-Reviewed Original ResearchConceptsPediatric participantsMRI protocolMagnetic resonance imaging (MRI) scansFunctional magnetic resonance imaging (fMRI) scansShorter MRI protocolsScan protocolResonance imaging scansImaging scansMRI sessionsFMRI connectivity analysisFMRI dataFMRI findingsSignificant confoundScansReplication groupConnectivity analysisAutism spectrum disorderMock scanSpectrum disorderParticipantsHead motionProtocolFunctional connectivity at rest captures individual differences in visual search
Bueichekú E, Miró-Padilla A, Ávila C. Functional connectivity at rest captures individual differences in visual search. Brain Structure And Function 2020, 225: 537-549. PMID: 31897605, DOI: 10.1007/s00429-019-02008-2.Peer-Reviewed Original ResearchConceptsDorsal anterior cingulate cortexAnterior cingulate cortexPosterior parietal cortexVisual search taskCingulate cortexParietal cortexFunctional connectivityVisual information processingSearch taskMeasures of visual information processingResting-state functional connectivity analysisDorsolateral prefrontal cortexFunctional MRI studiesAttentional control systemFunctional connectivity analysisInformation processingResting-state sessionsBrain functional connectivityPrefrontal cortexInhibitory controlBehavioral measuresCognitive tasksCognitive abilitiesCognitive demandsConnectivity analysis
2019
New Perspective for Non-invasive Brain Stimulation Site Selection in Mild Cognitive Impairment: Based on Meta- and Functional Connectivity Analyses
Liu J, Zhang B, Wilson G, Kong J, Initiative T, Weiner M, Aisen P, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Shaw L, Khachaturian Z, Sorensen G, Carrillo M, Kuller L, Raichle M, Paul S, Davies P, Fillit H, Hefti F, Holtzman D, Mesulam M, Potter W, Snyder P, Schwartz A, Green R, Montine T, Petersen R, Aisen P, Thomas R, Donohue M, Walter S, Gessert D, Sather T, Jiminez G, Balasubramanian A, Mason J, Sim I, Beckett L, Harvey D, Donohue M, Jack C, Bernstein M, Fox N, Thompson P, Schuff N, DeCArli C, Borowski B, Gunter J, Senjem M, Vemuri P, Jones D, Kantarci K, Ward C, Jagust W, Koeppe R, Foster N, Reiman E, Chen K, Mathis C, Landau S, Morris J, Cairns N, Franklin E, Taylor-Reinwald L, Shaw L, Trojanowki J, Lee V, Korecka M, Figurski M, Toga A, Crawford K, Neu S, Saykin A, Foroud T, Potkin S, Shen L, Faber K, Kim S, Nho K, Weiner M, Thal L, Khachaturian Z, Thal L, Buckholtz N, Weiner M, Snyder P, Potter W, Paul S, Albert M, Frank R, Khachaturian Z, Hsiao J, Kaye J, Quinn J, Silbert L, Lind B, Carter R, Dolen S, Schneider L, Pawluczyk S, Becerra M, Teodoro L, Spann B, Brewer J, Vanderswag H, Fleisher A, Heidebrink J, Lord J, Petersen R, Mason S, Albers C, Knopman D, Johnson K, Doody R, Villanueva-Meyer J, Pavlik V, Shibley V, Chowdhury M, Rountree S, Dang M, Stern Y, Honig L, Bell K, Ances B, Morris J, Carroll M, Creech M, Franklin E, Mintun M, Schneider S, Oliver A, Marson D, Geldmacher D, Love M, Griffith R, Clark D, Brockington J, Roberson E, Grossman H, Mitsis E, Shah R, deToledo-Morrell L, Duara R, Greig-Custo M, Barker W, Albert M, Onyike C, D'Agostino D, Kielb S, Sadowski M, Sheikh M, Anaztasia U, Mrunalini G, Doraiswamy P, Petrella J, Borges-Neto S, Wong T, Coleman E, Arnold S, Karlawish J, Wolk D, Clark C, Smith C, Jicha G, Hardy P, Sinha P, Oates E, Conrad G, Lopez O, Oakley M, Simpson D, Porsteinsson A, Goldstein B, Martin K, Makino K, Ismail M, Brand C, Potkin S, Preda A, Nguyen D, Womack K, Mathews D, Quiceno M, Levey A, Lah J, Cellar J, Burns J, Swerdlow R, Brooks W, Apostolova L, Tingus K, Woo E, Silverman D, Lu P, Bartzokis G, Graff-Radford N, Parfitt F, Poki-Walker K, Farlow M, Hake A, Matthews B, Brosch J, Herring S, van Dyck C, Carson R, MacAvoy M, Varma P, Chertkow H, Bergman H, Hosein C, Black S, Stefanovic B, Caldwell C, Hsiung G, Mudge B, Sossi V, Feldman H, Assaly M, Finger E, Pasternack S, Rachisky I, Trost D, Kertesz A, Bernick C, Munic D, Mesulam M, Rogalski E, Lipowski K, Weintraub S, Bonakdarpour B, Kerwin D, Wu C, Johnson N, Sadowsky C, Villena T, Turner R, Johnson K, Reynolds B, Sperling R, Johnson K, Marshall G, Yesavage J, Taylor J, Lane B, Rosen A, Tinklenberg J, Sabbagh M, Belden C, Jacobson S, Sirrel S, Kowall N, Killiany R, Budson A, Norbash A, Johnson P, Obisesan T, Wolday S, Allard J, Lerner A, Ogrocki P, Tatsuoka C, Fatica P, Fletcher E, Maillard P, Olichney J, DeCarli C, Carmichael O, Kittur S, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Potkin S, Preda A, Nguyen D, Tariot P, Burke A, Milliken A, Trncic N, Fleisher A, Reeder S, Bates V, Capote H, Rainka M, Scharre D, Kataki M, Kelley B, Zimmerman E, Celmins D, Brown A, Pearlson G, Blank K, Anderson K, Flashman L, Seltzer M, Hynes M, Santulli R, Sink K, Leslie G, Williamson J, Garg P, Watkins F, Ott B, Tremont G, Daiello L, Salloway S, Malloy P, Correia S, Rosen H, Miller B, Perry D, Mintzer J, Spicer K, Bachman D, Finger E, Pasternak S, Rachinsky I, Rogers J, Kertesz A, Drost D, Pomara N, Hernando R, Sarrael A, Schultz S, Smith K, Koleva H, Nam K, Shim H, Relkin N, Chiang G, Lin M, Ravdin L, Smith A, Raj B, Fargher K, Weiner M, Aisen P, Weiner M, Aisen P, Petersen R, Green R, Harvey D, Jack C, Jagust W, Morris J, Saykin A, Shaw L, Toga A, Trojanowki J, Neylan T, Grafman J, Green R, Montine T, Weiner M, Petersen R, Aisen P, Thomas R, Donohue M, Devon G, Sather T, Melissa D, Morrison R, Jiminez G, Neylan T, Jacqueline H, Shannon F, Harvey D, Donohue M, Jack C, Bernstein M, Borowski B, Gunter J, Senjem M, Kejal K, Chad W, Jagust W, Koeppe R, Foster N, Reiman E, Chen K, Landau S, Morris J, Cairns N, Householder E, Shaw L, Trojanowki J, Lee V, Korecka M, Figurski M, Toga A, Karen C, Scott N, Saykin A, Foroud T, Potkin S, Shen L, Faber K, Kim S, Nho K, Weiner M, Karl F, Schneider L, Pawluczyk S, Mauricio B, Brewer J, Vanderswag H, Stern Y, Honig L, Bell K, Fleischman D, Arfanakis K, Shah R, Duara R, Varon D, Greig M, Doraiswamy P, Petrella J, James O, Porsteinsson A, Goldstein B, Martin K, Potkin S, Preda A, Nguyen D, Mintzer J, Massoglia D, Brawman-Mintzer O, Sadowsky C, Martinez W, Villena T, Jagust W, Landau S, Rosen H, Perry D, Turner R, Behan K, Reynolds B, Sperling R, Johnson K, Marshall G, Sabbagh M, Jacobson S, Sirrel S, Obisesan T, Wolday S, Allard J, Johnson S, Fruehling J, Harding S, Peskind E, Petrie E, Li G, Yesavage J, Taylor J, Furst A, Chao S, Relkin N, Chiang G, Ravdin L, Ravdin L. New Perspective for Non-invasive Brain Stimulation Site Selection in Mild Cognitive Impairment: Based on Meta- and Functional Connectivity Analyses. Frontiers In Aging Neuroscience 2019, 11: 228. PMID: 31551754, PMCID: PMC6736566, DOI: 10.3389/fnagi.2019.00228.Peer-Reviewed Original ResearchNon-invasive brain stimulationMild cognitive impairmentNIBS treatmentInferior frontal gyrusDorsolateral prefrontal cortexFunctional connectivity analysisCognitive impairmentBrain regionsStimulation siteFrontal gyrusBest stimulation siteBrain stimulation sitesMedial superior frontal gyrusTreatment of patientsState functional connectivity analysisSuperior frontal gyrusInferior temporal gyrusConnectivity analysisInferior occipital gyrusBrain stimulationRSFC analysesMCI patientsOccipital gyrusPrefrontal gyrusTemporal gyrus
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply