Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention
Jones H, Yoo K, Chun M, Rosenberg M. Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention. Journal Of Neuroscience 2024, 44: e1543232024. PMID: 38316565, PMCID: PMC10993033, DOI: 10.1523/jneurosci.1543-23.2024.Peer-Reviewed Original ResearchMoment-to-moment fluctuationsFMRI functional connectivityFMRI analysisProcessing of task-relevant informationSustained attention taskTask-based fMRITask-relevant informationDynamic FC approachParametric fMRI analysisField of network neuroscienceTraditional fMRI analysisNeural underpinningsAttention taskSustained attentionIndividual differencesCognitive processesTask eventsFunctional connectivityNetwork neuroscienceRegions-of-interestGeneralized linear modelAttentional stateFMRI datasetsYoung adultsIndividual's ability