2022
Neurofeedback-guided kinesthetic motor imagery training in Parkinson’s disease: Randomized trial
Tinaz S, Kamel S, Aravala SS, Elfil M, Bayoumi A, Patel A, Scheinost D, Sinha R, Hampson M. Neurofeedback-guided kinesthetic motor imagery training in Parkinson’s disease: Randomized trial. NeuroImage Clinical 2022, 34: 102980. PMID: 35247729, PMCID: PMC8897714, DOI: 10.1016/j.nicl.2022.102980.Peer-Reviewed Original ResearchConceptsKinesthetic motor imageryMotor function scoresMild Parkinson's diseaseParkinson's diseaseFunctional connectivityFunction scoresMI trainingSecondary clinical outcomesClinical outcome measuresRandomized clinical trialsWhole-brain functional connectivityPost-training changeFunctional connectivity strengthMotor imageryMotor imagery trainingDorsomedial frontal cortexDistinct neural circuitsClinical outcomesImaging outcomesSubjective improvementClinical trialsMotor functionMotor examFrontal cortexOutcome measures
2019
Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research
Yip SW, Kiluk B, Scheinost D. Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2019, 5: 748-758. PMID: 31932230, PMCID: PMC8274215, DOI: 10.1016/j.bpsc.2019.11.001.Peer-Reviewed Original ResearchConceptsIndividual differencesBrain-behavior modelsFuture neuroimaging researchLikelihood of replicationEvidence-based treatmentsNeuroimaging researchEffect size estimatesSubstance useDirection of associationAnatomical locusBrain functionTreatment outcomesModeling findingsClinical samplesNovel subjectRelapse rateClinical outcomesPredictive modeling approachUnsuccessful treatmentLeading causeIndividualsClinical settingParticular riskSize estimatesOutcomes