2024
In vivo neuropil density from anatomical MRI and machine learning
Akif A, Staib L, Herman P, Rothman D, Yu Y, Hyder F. In vivo neuropil density from anatomical MRI and machine learning. Cerebral Cortex 2024, 34: bhae200. PMID: 38771239, PMCID: PMC11107380, DOI: 10.1093/cercor/bhae200.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingSynaptic densityNeuropil densityCellular densityArtificial neural networkNeural networkPositron emission tomographyAnatomical magnetic resonance imagingHealthy subjectsSynaptic activityMRI scansMachine learning algorithmsBrain's energy budgetEmission tomographyIn vivo MRI scansResonance imagingTissue cellularityLearning algorithmsDiffusion magnetic resonance imagingMachine learningMicroscopic interpretationInterpretation of functional neuroimaging dataIndividual predictionsSubjects
2022
EEG–fMRI in Animal Models
Gummadavelli A, Sanganahalli B, Herman P, Hyder F, Blumenfeld H. EEG–fMRI in Animal Models. 2022, 663-694. DOI: 10.1007/978-3-031-07121-8_27.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingSimultaneous EEG-fMRI studyEEG-fMRI studiesAnimal modelsMetabolic changesModality of choiceMagnetic resonance imagingEEG-fMRIDeep brain structuresInvasive studiesNeuronal activityHuman studiesSensory-motor processingNeuronal functionResonance imagingNeuronal processesBrain structuresSimultaneous EEG-fMRIImproved treatmentNeuroimaging signalsSoft tissueElectrical activityNeuronal networksExcellent temporal resolutionFMRI signals