Here, we demonstrate how information from different brain imaging modalities-visual field maps derived from fMRI, lesion definitions from anatomical scans, and white matter tracts from diffusion weighted MRI data-provides a more complete picture of vision loss.

In particular, functional magnetic resonance imaging (fMRI) and analysis of population receptive fields (pRF) can reveal mismatches between clinical perimetry and maps of cortical areas that still respond to visual stimuli after stroke. In contrast, brain imaging can provide important information about anatomy, connectivity, and function of the visual pathway following stroke. For example, it cannot distinguish where in the visual pathway the key processing deficit is located. While perimetry provides important information about the intactness of the visual field, the approach has some shortcomings. These methods rely on the ability of the patient to report the presence of lights in particular locations. In the clinic, this loss is quantified by measuring the sensitivity threshold across the field of vision using static perimetry. Loss of vision across large parts of the visual field is a common and devastating complication of cerebral strokes. School of Psychology, University of Nottingham, Nottingham, United Kingdom.

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