2019
An information network flow approach for measuring functional connectivity and predicting behavior
Kumar S, Yoo K, Rosenberg MD, Scheinost D, Constable RT, Zhang S, Li C, Chun MM. An information network flow approach for measuring functional connectivity and predicting behavior. Brain And Behavior 2019, 9: e01346. PMID: 31286688, PMCID: PMC6710195, DOI: 10.1002/brb3.1346.Peer-Reviewed Original ResearchConceptsFunctional brain connectivityFunctional magnetic resonance imagingFMRI time coursesIndividual differencesTask performanceMeasures of attentionSustained attention taskAttention task performanceResting-state fMRI dataSample of individualsAttention taskFMRI dataFunctional connectivityFC patternsBrain connectivityPearson correlationInformation theory statisticsInformation flowMachine-learning modelsMeasuresMagnetic resonance imagingAttentionNetwork flow approachTime courseDifferent datasets
2018
Time course of clinical change following neurofeedback
Rance M, Walsh C, Sukhodolsky DG, Pittman B, Qiu M, Kichuk SA, Wasylink S, Koller WN, Bloch M, Gruner P, Scheinost D, Pittenger C, Hampson M. Time course of clinical change following neurofeedback. NeuroImage 2018, 181: 807-813. PMID: 29729393, PMCID: PMC6454268, DOI: 10.1016/j.neuroimage.2018.05.001.Peer-Reviewed Original ResearchConceptsClinical changesSymptom changeTime courseBrain functionNeurofeedback studiesPotential clinical toolCrossover designControl interventionsReal neurofeedbackClinical toolTime pointsClinical populationsNeurofeedback effectsInterventionNeurofeedback sessionsNeurofeedbackCurrent brain stateWeeksBrain statesNew studiesCourseSessionsSymptoms