Subject‐level reliability analysis of fast fMRI with application to epilepsy

• Published in: Magnetic resonance in medicine Vol. 78; no. 1; pp. 370 - 382
• Main Authors: Hao, Yongfu, Khoo, Hui Ming, von Ellenrieder, Nicolas, Gotman, Jean
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.07.2017
• Subjects: Activation; Activation analysis; Adult; Autoregressive models; Autoregressive processes; Brain - diagnostic imaging; Brain - physiopathology; Brain Mapping - methods; Criteria; Data processing; Datasets; Discharge; EEG; Electroencephalography; Epilepsy; Epilepsy - diagnostic imaging; Epilepsy - physiopathology; Female; fMRI; Functional magnetic resonance imaging; Generalized linear models; GLM; Ground truth; Head; Humans; Image Interpretation, Computer-Assisted - methods; Latency; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Medicine; Observer Variation; Patients; Regression analysis; reliability; Reliability analysis; Reproducibility of Results; Sampling; Sensitivity and Specificity; Signal Processing, Computer-Assisted; epilepsy; fMRI; GLM; EEG; reliability

Purpose Recent studies have applied the new magnetic resonance encephalography (MREG) sequence to the study of interictal epileptic discharges (IEDs) in the electroencephalogram (EEG) of epileptic patients. However, there are no criteria to quantitatively evaluate different processing methods, to pr...