AFNI: software for analysis and visualization of functional magnetic resonance neuroimages.
By Robert W. Cox. 1996
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Medical Imaging
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Citations in the corpus
- Causal Evidence for the Role of Neuronal Oscillations in Top-Down and Bottom-Up Attention (2019, unknown): “The anatomical image had the neck removed (AFNI; Cox, 1996), manual reorientation to the anterior commissure, segmentation with mean bias correction, and skull stripping (FSL 4.1.9, fsl.fmrib. ox.ac.uk/fsl/).”
- Frontoparietal Hubs Leverage Probabilistic Representations and Integrated Uncertainty to Guide Cognitive Flexibility (2025, unknown): “10E ).”
- Intracranial EEG referencing for large-scale category-selective mapping in the human ventral occipito-temporal cortex (2025, unknown): “The cortical surface used to display group maps was obtained from segmentation of the Colin27 brain from AFNI ( Cox, 1996) which is aligned to the Talairach space.”
- Effects of continuous versus intermittent theta-burst TMS on fMRI connectivity (2024, methodology): “Imaging analysis was done using AFNI (Cox, 1996) and Matlab (The MathWorks, Inc. Natick, MA, United States).”
- Characterising the spatial and oscillatory unfolding of Theory of Mind in adults using fMRI and MEG (2022, methodology): “Standard Analysis of Functional NeuroImages (AFNI, Cox, 1996; Cox and Hyde, 1997), FreeSurfer (Dale et al., 1999) and FMRIB Software Library (FSL, Jenkinson et al., 2012) tools were used to process fMRI data.”
- Neural Mechanisms of Bidirectional Visuo‐Linguistic Transformation in Interactive Communication (2026, unknown): “Preprocessing was performed using AFNI (Cox 1996; Cox and Hyde 1997), FSL 6.0.7 (Jenkinson et al. 2012), and custom MATLAB R2021b scripts.”