2024
Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods
Antons S, Yip S, Lacadie C, Dadashkarimi J, Scheinost D, Brand M, Potenza M. Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods. Journal Of Behavioral Addictions 2024, 13: 695-701. PMID: 39356557, PMCID: PMC11457034, DOI: 10.1556/2006.2024.00050.Peer-Reviewed Original ResearchConceptsAddictive behaviorsDisorders due to addictive behaviorsConnectome-based predictive modelingPrediction of cravingInvestigate neural mechanismsSubstance use disordersNeural mechanismsCravingSubstance useMethodological considerationsDisordersMethodological featuresBehaviorConceptualizationCommentaryStudyFindingsSubstances
2023
The challenges and prospects of brain-based prediction of behaviour
Wu J, Li J, Eickhoff S, Scheinost D, Genon S. The challenges and prospects of brain-based prediction of behaviour. Nature Human Behaviour 2023, 7: 1255-1264. PMID: 37524932, DOI: 10.1038/s41562-023-01670-1.Peer-Reviewed Original ResearchConceptsInterindividual differencesIndividual brain patternsNeural correlatesBehavioral measuresBrain patternsSystems neuroscienceConceptual limitationsLarge open datasetData-driven fashionNeuroscienceBrain levelsComputational resourcesOpen datasetsPredictive modelling approachCorrelatesMindBehaviorMeasuresPredictive modellingModelling approachDifferencesPotential solutions