2022
A graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults
Goldman DA, Sankar A, Rich A, Kim JA, Pittman B, Constable RT, Scheinost D, Blumberg HP. A graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults. Journal Of Affective Disorders 2022, 319: 15-26. PMID: 36103935, PMCID: PMC9669784, DOI: 10.1016/j.jad.2022.09.016.Peer-Reviewed Original ResearchConceptsAdolescents/young adultsMajor depressive disorderDepressive disorderYoung adultsICD increasesBipolar disorderInterhemispheric functional connectivityFunctional connectivity differencesSeed-based analysisFunctional connectivity patternsSeed-based connectivityFunctional magnetic resonanceFunctional connectivity measuresBasal gangliaFunctional dysconnectivityIllness progressionTreatment strategiesClinical measuresEarly diagnosisHC groupTargeted treatmentConnectivity differencesSuicide thoughtsFunctional connectivityDeleterious treatment
2020
Functional connectivity predicts changes in attention observed across minutes, days, and months
Rosenberg MD, Scheinost D, Greene AS, Avery EW, Kwon YH, Finn ES, Ramani R, Qiu M, Constable RT, Chun MM. Functional connectivity predicts changes in attention observed across minutes, days, and months. Proceedings Of The National Academy Of Sciences Of The United States Of America 2020, 117: 3797-3807. PMID: 32019892, PMCID: PMC7035597, DOI: 10.1073/pnas.1912226117.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelsAttentional stateSustained attentionIndividual differencesSustained attention functionFunctional connectivity signaturesFunctional brain connectivityFunctional connectivity patternsAttention functionConnectivity signaturesFunctional connectivityBrain connectivityConnectivity patternsAttentionSingle personSame patternIndividualsConnectivityIndependent studiesRecent workState changesPersonsPeopleDifferencesAbilityDistributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals
Avery EW, Yoo K, Rosenberg MD, Greene AS, Gao S, Na DL, Scheinost D, Constable TR, Chun MM. Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals. Journal Of Cognitive Neuroscience 2020, 32: 241-255. PMID: 31659926, PMCID: PMC8004893, DOI: 10.1162/jocn_a_01487.Peer-Reviewed Original ResearchConceptsFunctional connectivity patternsFluid intelligenceMemory performanceIndividual differencesAttention modelConnectome-based predictive modelingConnectome-based predictive modelsWhole-brain functional connectivity patternsGeneral cognitive abilitySuch individual differencesConnectivity patternsAdult life spanHuman Connectome ProjectHuman Connectome Project dataMemory relateCognitive abilitiesNeural basisSustained attentionMemory scoresParietal regionsFunctional connectivityConnectome ProjectMemory modelOlder adultsMemory
2016
Methylphenidate Modulates Functional Network Connectivity to Enhance Attention
Rosenberg MD, Zhang S, Hsu WT, Scheinost D, Finn ES, Shen X, Constable RT, Li CS, Chun MM. Methylphenidate Modulates Functional Network Connectivity to Enhance Attention. Journal Of Neuroscience 2016, 36: 9547-9557. PMID: 27629707, PMCID: PMC5039242, DOI: 10.1523/jneurosci.1746-16.2016.Peer-Reviewed Original ResearchConceptsAttention-deficit/hyperactivity disorderSustained attentionWhole-brain connectivity patternsFunctional brain networksHyperactivity disorderBrain networksConnectivity patternsConnectome-based predictive modeling approachWhole-brain functional connectivity patternsWhole-brain functional connectivity networksSustained attention taskStop-signal taskDose of methylphenidateFunctional network connectivityCausal roleFunctional connectivity patternsHealthy adultsAttention taskCognitive abilitiesPromising neuromarkerNetwork strengthBehavioral predictionsADHD treatmentConnectivity signaturesFunctional connectivity networksFunctional Connectivity During Exposure to Favorite-Food, Stress, and Neutral-Relaxing Imagery Differs Between Smokers and Nonsmokers
Garrison KA, Sinha R, Lacadie CM, Scheinost D, Jastreboff AM, Constable RT, Potenza MN. Functional Connectivity During Exposure to Favorite-Food, Stress, and Neutral-Relaxing Imagery Differs Between Smokers and Nonsmokers. Nicotine & Tobacco Research 2016, 18: 1820-1829. PMID: 26995796, PMCID: PMC4978981, DOI: 10.1093/ntr/ntw088.Peer-Reviewed Original ResearchConceptsFunctional connectivityBrain regionsSupramarginal gyrusFavorite-food cuesSmoking-related alterationsMagnetic resonance imaging studyBrain functional connectivity patternsPrevious functional magnetic resonance imaging (fMRI) studiesTobacco use disorderBrain networksIntrinsic connectivity distributionResonance imaging studyFunctional magnetic resonance imaging studyFunctional connectivity patternsMultiple brain networksSmoking cessationNonsmokersPosterior insulaRolandic operculumSmokersFunctional brain networksImaging studiesGreater connectivityNeural responsesRecent reports