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AFNI: software for analysis and visualization of functional magnetic resonance neuroimages.
  • R. Cox
  • Biology
    Computers and biomedical research, an…
  • 1 June 1996
TLDR
A package of computer programs for analysis and visualization of three-dimensional human brain functional magnetic resonance imaging (FMRI) results is described and techniques for automatically generating transformed functional data sets from manually labeled anatomical data sets are described.
Human Brain Language Areas Identified by Functional Magnetic Resonance Imaging
TLDR
Although partly in conflict with the classical model of language localization, FMRI findings are generally compatible with reported lesion data and provide additional support for ongoing efforts to refine and extend the classicalmodel.
Software tools for analysis and visualization of fMRI data
The tools needed for analysis and visualization of three‐dimensional human brain functional magnetic resonance image results are outlined, covering the processing categories of data storage,
Conceptual Processing during the Conscious Resting State: A Functional MRI Study
TLDR
A model that proposes that perceptual tasks interrupt processes ongoing during rest that involve many of the same brain areas engaged during semantic retrieval may help to explain several unanticipated results from prior studies of semantic processing.
Mapping striate and extrastriate visual areas in human cerebral cortex.
TLDR
Findings suggest that human and simian cortical organization may begin to differ in extrastriate cortex at, or beyond, V3A and V4 of the macaque monkey.
Distributed Neural Systems Underlying the Timing of Movements
TLDR
The results suggest that the internal generation of precisely timed movements is dependent on three interrelated neural systems, one that is involved in explicit timing (putamen, ventrolateral thalamus, SMA), one that mediates auditory sensory memory (IFG, STG), and another that is involvement in sensorimotor processing (dorsal dentate nucleus, sensorim motor cortex).
FMRI Clustering in AFNI: False-Positive Rates Redux
TLDR
Results of Eklund and associates' study show how results of their study provide useful suggestions for FMRI study design and analysis, rather than simply a catastrophic downgrading of the field's earlier results.
Real‐time 3D image registration for functional MRI
TLDR
A fast, accurate method for rotating and shifting a three‐dimensional (3D) image using a shear factorization of the rotation matrix is described and combined with gradient descent on a least squares objective function, 3D image realignment for small movements can be computed as rapidly as whole brain images can be acquired on current scanners.
AFNI: What a long strange trip it's been
  • R. Cox
  • Computer Science
    NeuroImage
  • 15 August 2012
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