Journal of Vision - Visual field representations and locations of visual areas V1/2/3 in human visual cortex, by Dougherty, Koch, Brewer, Fischer, Modersitzki, & Wandell

Robert F. Dougherty	Department of Psychology and Stanford Institute for Reading and Learning, Stanford University, Stanford, CA, USA
Volker M. Koch	Department of Psychology, Stanford University, Stanford, CA, USA
Alyssa A. Brewer	Neuroscience Program, Stanford University, Stanford, CA, USA
Bernd Fischer	Institute of Mathematics, University of Lübeck, Lübeck, Germany
Jan Modersitzki	Institute of Mathematics, University of Lübeck, Lübeck, Germany
Brian A. Wandell	Department of Psychology, Neuroscience Program and Stanford Institute for Reading and Learning, Stanford University, Stanford, CA, USA

The position, surface area and visual field representation of human visual areas V1, V2 and V3 were measured using fMRI in 7 subjects (14 hemispheres). Cortical visual field maps of the central 12 deg were measured using rotating wedge and expanding ring stimuli. The boundaries between areas were identified using an automated procedure to fit an atlas of the expected visual field map to the data. All position and surface area measurements were made along the boundary between white matter and gray matter.The representation of the central 2 deg of visual field in areas V1, V2, V3 and hV4 spans about 2100 mm2 and is centered on the lateral-ventral aspect of the occipital lobes at Talairach coordinates -29, -78, -11 and 25, -80, -9. The mean area between the 2-deg and 12-deg eccentricities for the primary visual areas was: V1: 1470 mm2; V2: 1115 mm2; and V3: 819 mm2. The sizes of areas V1, V2 and V3 varied by about a factor of 2.5 across individuals; the sizes of V1 and V2 are significantly correlated within individuals, but there is a very low correlation between V1 and V3.These in vivo measurements of normal human retinotopic visual areas can be used as a reference for comparison to unusual cases involving developmental plasticity, recovery from injury, identifying homology with animal models, or analyzing the computational resources available within the visual pathways.