2024
Infant neuroscience: how to measure brain activity in the youngest minds
Turk-Browne N, Aslin R. Infant neuroscience: how to measure brain activity in the youngest minds. Trends In Neurosciences 2024, 47: 338-354. PMID: 38570212, DOI: 10.1016/j.tins.2024.02.003.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsBrainBrain MappingElectroencephalographyHumansInfantMagnetic Resonance ImagingMagnetoencephalographyNeurosciencesSpectroscopy, Near-InfraredConceptsFunctional magnetic resonance imagingFunctional near-infrared spectroscopyMeasure brain activityBrain activityApplication of functional magnetic resonance imagingHuman infantsCognitive neuroscienceCognitive tasksInfant brainAwake infantsMagnetic resonance imagingNear-infrared spectroscopyMagnetoencephalographyMindfulnessResonance imagingNon-invasive methodInfantsElectroencephalography
2018
Classifying the mental representation of word meaning in children with Multivariate Pattern Analysis of fNIRS
Gemignani J, Bayet L, Kabdebon C, Blankertz B, Pugh K, Aslin R. Classifying the mental representation of word meaning in children with Multivariate Pattern Analysis of fNIRS. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2018, 00: 295-298. PMID: 30440396, DOI: 10.1109/embc.2018.8512209.Peer-Reviewed Original ResearchMeSH KeywordsChildHemodynamicsHumansMultivariate AnalysisSpectroscopy, Near-InfraredSupport Vector Machine
2017
Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS
Emberson LL, Zinszer BD, Raizada RDS, Aslin RN. Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS. PLOS ONE 2017, 12: e0172500. PMID: 28426802, PMCID: PMC5398514, DOI: 10.1371/journal.pone.0172500.Peer-Reviewed Original ResearchConceptsMultivariate pattern analysisInfant mindPattern analysisFMRI workCognitive neuroscientistsSame physiological signalsNeural activationAnalytic sophisticationFNIRS communityIdiosyncratic patternsFNIRSPhysiological signalsBetter spatial localizationTaskTrial patternsGroup modelMindCurrent paperFMRIType of populationMethodological toolsAverage patternSpatial localizationNeuroscientistsMRI environment
2016
Using fNIRS to examine occipital and temporal responses to stimulus repetition in young infants: Evidence of selective frontal cortex involvement
Emberson LL, Cannon G, Palmeri H, Richards JE, Aslin RN. Using fNIRS to examine occipital and temporal responses to stimulus repetition in young infants: Evidence of selective frontal cortex involvement. Developmental Cognitive Neuroscience 2016, 23: 26-38. PMID: 28012401, PMCID: PMC5253300, DOI: 10.1016/j.dcn.2016.11.002.Peer-Reviewed Original ResearchMeSH KeywordsAcoustic StimulationAdultBrain MappingChild DevelopmentFemaleFrontal LobeHumansInfantMaleOccipital LobePhotic StimulationSpectroscopy, Near-InfraredTemporal LobeConceptsRepetition suppressionPerceptual corticesAuditory repetition suppressionFrontal cortexAuditory stimuliStimulus repetitionExperiment 1Experiment 2Cortex involvementInfant brainTemporal cortexFrontal lobeAdult brainYoung infantsCortexRepetitionRecent experienceBrainFNIRSExperienceStimuliFirst evidenceSuggestive evidenceInfantsEvidence
2015
Top-down modulation in the infant brain: Learning-induced expectations rapidly affect the sensory cortex at 6 months
Emberson LL, Richards JE, Aslin RN. Top-down modulation in the infant brain: Learning-induced expectations rapidly affect the sensory cortex at 6 months. Proceedings Of The National Academy Of Sciences Of The United States Of America 2015, 112: 9585-9590. PMID: 26195772, PMCID: PMC4534272, DOI: 10.1073/pnas.1510343112.Peer-Reviewed Original ResearchMeSH KeywordsAcoustic StimulationBrainFemaleHemoglobinsHumansInfantLearningMaleOccipital LobeOxygenPhotic StimulationSomatosensory CortexSpectroscopy, Near-InfraredTime FactorsConceptsInfant brainSensory cortexFuture sensory inputsRole of expectationsRepetition suppressionInfants' expectationsVisual eventsOmission paradigmNeural processingStimulus noveltyAuditory stimuliCortical hierarchyInfant cortexNeural organizationNonhuman animalsNeural maturationSensory inputOccipital cortexEmpirical supportCortexRudimentary formExpectationsAdult humansHemodynamic responseExtensive feedback
2014
Hemodynamic Correlates of Cognition in Human Infants
Aslin RN, Shukla M, Emberson LL. Hemodynamic Correlates of Cognition in Human Infants. Annual Review Of Psychology 2014, 66: 1-31. PMID: 25251480, PMCID: PMC4429889, DOI: 10.1146/annurev-psych-010213-115108.Peer-Reviewed Original ResearchMeSH KeywordsChild DevelopmentCognitionFunctional NeuroimagingHemodynamicsHumansInfantMagnetic Resonance ImagingSpectroscopy, Near-InfraredConceptsFunctional magnetic resonance imagingInfant cognitionHuman infantsCognitive neuroscienceCognitive processesCognitive developmentNeural mechanismsCorrelational dataCognitionHemodynamic correlatesMagnetic resonance imagingHemodynamic measuresNeuroscienceSophisticated waysKey findingsResonance imagingCorrelatesInfantsBlood oxygenationMeasuresBrainFindingsInferenceHypothesis
2012
Questioning the questions that have been asked about the infant brain using near-infrared spectroscopy
Aslin RN. Questioning the questions that have been asked about the infant brain using near-infrared spectroscopy. Cognitive Neuropsychology 2012, 29: 7-33. PMID: 22329690, PMCID: PMC3461095, DOI: 10.1080/02643294.2012.654773.Peer-Reviewed Original Research
2010
Near-infrared spectroscopy: A report from the McDonnell infant methodology consortium
Gervain J, Mehler J, Werker JF, Nelson CA, Csibra G, Lloyd-Fox S, Shukla M, Aslin RN. Near-infrared spectroscopy: A report from the McDonnell infant methodology consortium. Developmental Cognitive Neuroscience 2010, 1: 22-46. PMID: 22436417, PMCID: PMC6987576, DOI: 10.1016/j.dcn.2010.07.004.Peer-Reviewed Original Research
2005
Near-infrared spectroscopy for functional studies of brain activity in human infants: promise, prospects, and challenges
Aslin RN, Mehler J. Near-infrared spectroscopy for functional studies of brain activity in human infants: promise, prospects, and challenges. Journal Of Biomedical Optics 2005, 10: 011009-0110093. PMID: 15847575, DOI: 10.1117/1.1854672.Peer-Reviewed Original Research