2024
Accelerated 3D metabolite T1 mapping of the brain using variable‐flip‐angle SPICE
Zhao Y, Li Y, Guo R, Jin W, Sutton B, Ma C, Fakhri G, Li Y, Luo J, Liang Z. Accelerated 3D metabolite T1 mapping of the brain using variable‐flip‐angle SPICE. Magnetic Resonance In Medicine 2024, 92: 1310-1322. PMID: 38923032, DOI: 10.1002/mrm.30200.Peer-Reviewed Original ResearchConceptsLow-rank tensor modelGeneralized series modelMetabolite TExperimental resultsBrain metabolitesClinically acceptable scan timeEfficient encodingPhantom experimental resultsAcceptable scan timeNoisy dataSparse samplingImaging problemsData processingHealthy subject dataVariable flip angleFlip angleTensor modelSaturation effectsQuantitative metabolic imagingMRSI techniquePhantomScan timeData acquisitionMetabolic imagingT1 mapping
2021
Personalised, image-guided, noninvasive brain stimulation in gliomas: Rationale, challenges and opportunities
Sprugnoli G, Rossi S, Rotenberg A, Pascual-Leone A, El-Fakhri G, Golby A, Santarnecchi E. Personalised, image-guided, noninvasive brain stimulation in gliomas: Rationale, challenges and opportunities. EBioMedicine 2021, 70: 103514. PMID: 34391090, PMCID: PMC8365310, DOI: 10.1016/j.ebiom.2021.103514.Peer-Reviewed Original ResearchConceptsHigh-grade gliomasNeuronal activityBrain tumorsProximity of tumor cellsSlow tumor growthAggressive human cancersMalignant brain tumorsBrain stimulationTumor mitosisHealthy brain tissuePatient survivalMechanism of actionImage-guidedTumor cellsTumor growthSynaptic activityHuman cancersTumorTherapeutic interventionsClinical settingNoninvasive brain stimulationElectrical stimulationWhole-brain levelPatientsBrain tissue
2018
Sequence Alterations of Cortical Genes Linked to Individual Connectivity of the Human Brain
Xin Q, Ortiz-Terán L, Diez I, Perez D, Ginsburg J, Fakhri G, Sepulcre J. Sequence Alterations of Cortical Genes Linked to Individual Connectivity of the Human Brain. Cerebral Cortex 2018, 29: 3828-3835. PMID: 30307489, PMCID: PMC6686751, DOI: 10.1093/cercor/bhy262.Peer-Reviewed Original ResearchConceptsGenetic sequence alterationsGene expression profilesSequence alterationsGenetic expression dataExpression profilesBrain regionsFunctional connectivity variabilityCortical genesCortical regionsAllen Brain AtlasExpression dataGenetic variationGenetic signaturesFunctional connectivity magnetic resonance imagingCortical areasDiscrete cortical regionsGenesGraph theory analysisFunctional profilesNeurobiological underpinningsSequenceDegree of individual variabilityBrain areasBrain individualizationBrain organization
2017
Frontostriatal and Dopamine Markers of Individual Differences in Reinforcement Learning: A Multi-modal Investigation
Kaiser R, Treadway M, Wooten D, Kumar P, Goer F, Murray L, Beltzer M, Pechtel P, Whitton A, Cohen A, Alpert N, Fakhri G, Normandin M, Pizzagalli D. Frontostriatal and Dopamine Markers of Individual Differences in Reinforcement Learning: A Multi-modal Investigation. Cerebral Cortex 2017, 28: 4281-4290. PMID: 29121332, PMCID: PMC6454484, DOI: 10.1093/cercor/bhx281.Peer-Reviewed Original ResearchConceptsDA transporterRL behaviourVentral striatumDA clearanceFunctional connectivityBinding potentialLevel of neurocognitive functioningIncreased intrinsic functional connectivityMulti-modal neuroimaging studiesResting-state functional connectivityPhasic DA activityStriatal DA transporterIntrinsic functional connectivityReinforcement learning behaviorMulti-modal investigationsFrontostriatal circuitsFrontostriatal connectivityFrontostriatal regionsOrbitofrontal cortexDA activityNeuroimaging studiesOrbitofrontal regionsDopamine markersNeurocognitive functionDopamineTau and amyloid β proteins distinctively associate to functional network changes in the aging brain
Sepulcre J, Sabuncu M, Li Q, Fakhri G, Sperling R, Johnson K. Tau and amyloid β proteins distinctively associate to functional network changes in the aging brain. Alzheimer's & Dementia 2017, 13: 1261-1269. PMID: 28366797, PMCID: PMC5623176, DOI: 10.1016/j.jalz.2017.02.011.Peer-Reviewed Original ResearchConceptsAging brainFunctional connectivityAlzheimer's disease-related pathologyCognitively normal individualsPositron emission tomography scanHyperconnected regionsFunctional network changesMisfolded tauDisease-related pathologyBrain areasEmission tomography scanAmyloid-bFunctional reorganizationB proteinHuman brainNeuronal circuitsTauBrainNeuronal functionNegative associationAmyloidCortical patternsNetwork changesElderly subjectsPositive association
2015
Matched signal detection on graphs: Theory and application to brain imaging data classification
Hu C, Sepulcre J, Johnson K, Fakhri G, Lu Y, Li Q. Matched signal detection on graphs: Theory and application to brain imaging data classification. NeuroImage 2015, 125: 587-600. PMID: 26481679, DOI: 10.1016/j.neuroimage.2015.10.026.Peer-Reviewed Original ResearchConceptsImage data classificationWeighted energy detectorGraph-signalGraph Laplacian eigenvaluesEnergy detectorManifold structureProblem of Alzheimer's diseaseData classificationGraph LaplacianSubspace detectorWeighted graphMSD approachSignal processingSignal detectionIntrinsic structureLaplacian eigenvaluesSubspaceTest statisticsGraphRandom signalsData setsLowest eigenvalueGaussian distributionTraditional methodsEigenvalues
2013
Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification
Hu C, Cheng L, Sepulcre J, El Fakhri G, Lu Y, Li Q. Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification. Lecture Notes In Computer Science 2013, 23: 1-12. PMID: 24683953, DOI: 10.1007/978-3-642-38868-2_1.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAlzheimer DiseaseAniline CompoundsBenzothiazolesBrainBrain MappingConnectomeHumansImage EnhancementImage Interpretation, Computer-AssistedNerve NetNeural PathwaysPattern Recognition, AutomatedPositron-Emission TomographyReproducibility of ResultsSensitivity and SpecificityThiazolesTissue DistributionConceptsBrain network classificationNetwork classification problemWeighted energy detectorPrinciple component analysisSub-manifold structureTraditional principle component analysisSubspace detectionTraining dataEnergy detectorGraph structureProblem of Alzheimer's diseaseGraph LaplacianNetwork classificationNoise varianceLevel of smoothnessWeighted graphSignal detectionIntrinsic structureSignal modelGraphSubspaceIsing modelNoiseSignal variationsComponent analysis