2025
Reduced removal of waste products from energy metabolism takes center stage in human brain aging
Mangia S, DiNuzzo M, Ponticorvo S, Dienel G, Behar K, Benveniste H, Hyder F, Giove F, Herculano-Houzel S, Petroff O, Eberly L, Filip P, Michaeli S, Rothman D. Reduced removal of waste products from energy metabolism takes center stage in human brain aging. Scientific Reports 2025, 15: 8127. PMID: 40057554, PMCID: PMC11890754, DOI: 10.1038/s41598-025-90342-3.Peer-Reviewed Original Research
2024
Volume-Optimal Persistence Homological Scaffolds of Hemodynamic Networks Covary with MEG Theta-Alpha Aperiodic Dynamics
Nguyen N, Hou T, Amico E, Zheng J, Huang H, Kaplan A, Petri G, Goñi J, Kaufmann R, Zhao Y, Duong-Tran D, Shen L. Volume-Optimal Persistence Homological Scaffolds of Hemodynamic Networks Covary with MEG Theta-Alpha Aperiodic Dynamics. Lecture Notes In Computer Science 2024, 15003: 519-529. PMID: 39949393, PMCID: PMC11816146, DOI: 10.1007/978-3-031-72384-1_49.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingHigher-order propertiesHuman Connectome Project Young Adult datasetDistribution of cavitiesAperiodic dynamicsAperiodic activityFunctional magnetic resonance imaging dataFunctional connectomePairwise interactionsConnectomeSpatial distribution of cavitiesDynamic insightsTask-positive stateHomologous scaffoldsSpatial distributionStatePersistent homologyMagnetoencephalographyInduced connectionResting stateNeuroimaging modalitiesYoung Adult datasetCortical regionsCoupling between Time-Varying EEG Spectral Bands and Spatial Dynamic FMRI Networks
Phadikar S, Pusuluri K, Jensen K, Wu L, Iraji A, Calhoun V. Coupling between Time-Varying EEG Spectral Bands and Spatial Dynamic FMRI Networks. 2024, 00: 1-4. DOI: 10.1109/isbi56570.2024.10635622.Peer-Reviewed Original ResearchFunctional brain networksDynamic brain networksBrain networksSpectral propertiesDynamics of functional brain networksFMRI networksSpectral bandsSpatial dimensionsResting-state functional magnetic resonance imagingConnectivity matrixCouplingBandFunctional magnetic resonance imagingDynamic networksSimultaneous electroencephalographyPersonalized treatment approachesElectroencephalography spectral powerResting stateMagnetic resonance imaging
2021
The manifestation of individual differences in sensitivity to punishment during resting state is modulated by eye state
Costumero V, Adrián-Ventura J, Bueichekú E, Miró-Padilla A, Palomar-García M, Marin-Marin L, Villar-Rodríguez E, Aguirre N, Barrós-Loscertales A, Ávila C. The manifestation of individual differences in sensitivity to punishment during resting state is modulated by eye state. Cognitive, Affective, & Behavioral Neuroscience 2021, 21: 144-155. PMID: 33432544, DOI: 10.3758/s13415-020-00856-8.Peer-Reviewed Original ResearchConceptsSensitivity to punishmentFunctional connectivitySeed-based functional connectivity analysisResting stateFunctional neuroimaging studiesFunctional connectivity analysisFear and anxietyBrain functional connectivityGroups of participantsReward QuestionnaireLeft hippocampusNeuroimaging studiesMethodological manipulationsConnectivity analysisAmygdalaHippocampusBrainPunishmentPAGParticipantsFMRIAnxietyRelationshipConnectionEyes
2020
Opening or closing eyes at rest modulates the functional connectivity of V1 with default and salience networks
Costumero V, Bueichekú E, Adrián-Ventura J, Ávila C. Opening or closing eyes at rest modulates the functional connectivity of V1 with default and salience networks. Scientific Reports 2020, 10: 9137. PMID: 32499585, PMCID: PMC7272628, DOI: 10.1038/s41598-020-66100-y.Peer-Reviewed Original Research
2018
Neurogenetic profiles delineate large-scale connectivity dynamics of the human brain
Diez I, Sepulcre J. Neurogenetic profiles delineate large-scale connectivity dynamics of the human brain. Nature Communications 2018, 9: 3876. PMID: 30250030, PMCID: PMC6155203, DOI: 10.1038/s41467-018-06346-3.Peer-Reviewed Original ResearchConceptsWhole-brain functional connectivityCognitive statesDepression-related genesDynamic connectivity patternsLong-term potentiationResting stateSynaptic long-term potentiationNeurobiological basisGraph theory-based analysisHeteromodal cortexFunctional connectivityPrimary sensory areasNeural activityAttention areasConnectivity patternsConnectivity dynamicsHuman brainSensory areasGenetic transcription levelsDMNTheory-based analysisDynamic connectivityDynamic streamsLocal networkTask
2014
Erratum: Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching
Hu C, El Fakhri G, Li Q. Erratum: Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching. Lecture Notes In Computer Science 2014, 8674: e1-e1. DOI: 10.1007/978-3-319-10470-6_101.Peer-Reviewed Original ResearchEvaluating Structural Symmetry of Weighted Brain Networks via Graph Matching
Hu C, El Fakhri G, Li Q. Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching. Lecture Notes In Computer Science 2014, 17: 733-740. PMID: 25485445, DOI: 10.1007/978-3-319-10470-6_91.Peer-Reviewed Original ResearchConceptsAttention deficit hyperactivity disorderNetwork symmetryBrain networksType of Attention Deficit Hyperactivity DisorderWeighted brain networksConsistent with former findingsDeficit hyperactivity disorderRs-fMRI networksResting state fMRISymmetry levelInattentive typeHyperactivity disorderBrain areasSymmetryStructural symmetryBrain connectivityFunctional networksResting stateLarger thresholdsBrainFMRIHigher levelsGraph matchingNode pairsNormal subjects
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