Analysis strategies for high-resolution UHF-fMRI data

• Published in: NeuroImage (Orlando, Fla.) Vol. 168; pp. 296 - 320
• Main Authors: Polimeni, Jonathan R., Renvall, Ville, Zaretskaya, Natalia, Fischl, Bruce
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.03.2018; Elsevier Limited
• Subjects: Anatomically-informed analysis; Brain; Brain - diagnostic imaging; Brain architecture; Brain mapping; Cortex; Data processing; Distortion correction; Distortion-matched functional and anatomical data; fMRI preprocessing; Functional magnetic resonance imaging; Functional morphology; Functional Neuroimaging - methods; Functional Neuroimaging - standards; High-resolution fMRI; Humans; Image Processing, Computer-Assisted - methods; Image Processing, Computer-Assisted - standards; Magnetic fields; Magnetic Resonance Imaging - methods; Magnetic Resonance Imaging - standards; Noise; Spatial discrimination; Statistical analysis; Surface-based analysis; Surface-based distortion correction; Distortion-matched functional and anatomical data; Distortion correction; Anatomically-informed analysis; Surface-based analysis; fMRI preprocessing; Surface-based distortion correction; High-resolution fMRI

Functional MRI (fMRI) benefits from both increased sensitivity and specificity with increasing magnetic field strength, making it a key application for Ultra-High Field (UHF) MRI scanners. Most UHF-fMRI studies utilize the dramatic increases in sensitivity and specificity to acquire high-resolution...