The Journal of Open Source Software · 2021 · 174 citations · 17 references
MedicineNeuroscienceRadiologyBiomedical ImagingDiagnostic ImagingDiagnostic RadiologyBrain ImagingMagnetic Resonance Contrast MechanismsMagnetic Resonance ImagingMagnetic Resonance Imaging PhysicsMedical ImagingNeuroimaging PhysicsBlood Oxygenation Level-dependent ContrastBlood Oxygenation Level-dependent ImagingEcho Time DependenceField Strength DependenceFunctional Magnetic Resonance ImagingMagnetic Field StrengthTime-dependent AnalysisTissue Composition Analysis
Functional magnetic resonance imaging (fMRI) is a popular method for in vivo neuroimaging. Modern fMRI sequences are often weighted towards the blood oxygen level dependent (BOLD) signal, which is closely linked to neuronal activity This weighting is achieved by tuning several parameters to increase the BOLD-weighted signal contrast. One such parameter is "TE," or echo time. TE is the amount of time elapsed between when protons are excited (the MRI signal source) and measured. Although the total measured signal magnitude decays with echo time, BOLD sensitivity increases The optimal TE maximizes the BOLD signal weighting based on a number of factors, including several MRI scanner parameters (e.g., field strength), imaged tissue composition (e.g., grey vs. white matter), and proximity to air-tissue boundaries.
17
Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI
Prantik Kundu, Souheil Inati, Jennifer W. Evans et al. · NeuroImage · 2011 · 698 citations · Full text
Medicine, Neuroscience, Radiology +13
Analysis of task-based functional MRI data preprocessed with fMRIPrep
Oscar Estéban, Rastko Ćirić, Karolina Finc et al. · Nature Protocols · 2020 · 322 citations · Full text