Visual field representations and locations of visual areas V1/2/3 in human visual cortex.

By Robert F. Dougherty, V. Koch, Alyssa A. Brewer, B. Fischer, Jan Modersitzki, Brian A. Wandell. Journal of Vision, 2003

606 citations recorded by the source corpus.

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.

Subfields: Cognitive Neuroscience, Epidemiology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/6b453b779b2a5ce7410bf4778df962fd03b24cc0

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Citations in the corpus

The human connectome: Origins and challenges (2013, background): “…variability is also encountered at the macroscale, where brain mass and volume, the folding pattern of the cortical surface, and the absolute and relative sizes of brain regions and projections have all been shown to differ across individuals (e.g. Dougherty et al., 2003; Thompson et al., 1996).”
Decreased segregation of brain systems across the healthy adult lifespan (2014, background): “Older Adults (65-89) Older adults with better memory performance and higher association system segregation”
A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex (2005, positive): “Across individuals, there is twofold or more variability in the size of each cortical area (Stensaas et al., 1974; Dougherty et al., 2003 ) and presumably also in the strength of various connections (pathways).”
Resting-State Retinotopic Organization in the Absence of Retinal Input and Visual Experience (2015, background): “Eccentricity values fall off with a approximately exponential distribution, as predicted by cortical magnification (Engel et al., 1997; Dougherty et al., 2003; Duncan and Boynton, 2003).”
Population receptive field estimates in human visual cortex (2008, methodology): “5°–2° eccentricity, believing that central foveal maps could not be accurately measured (Dougherty et al., 2003; Liu et al., 2005; Schira et al., 2007; Silver et al., 2007; Somers et al., 1999; Tootell and Hadjikhani, 2001).”
Visual image reconstruction from human brain activity using a combination of multiscale local image decoders. (2008, background): “…cortical neurons is known to increase with eccentricity (Dumoulin and Wandell, 2008; Kay et al., 2008; Kraft et al., 2005; Smith et al., 2001), and in parallel, the cortical mag-niﬁcation factor decreases with eccentricity (Dougherty et al., 2003; Duncan and Boynton, 2003; Engel et al., 1997).”
Area patterning of the mammalian cortex. (2007, background): “3-fold within the normal population (Stensaas et al., 1974; White et al., 1997a, 1997b; Dougherty et al., 2003).”
Localizing human visual gamma-band activity in frequency, time and space (2006, result): “This is consistent with sources in the foveal confluence of the early visual areas V1, V2 and V3 (Dougherty et al., 2003).”
Imaging retinotopic maps in the human brain (2010, methodology): “The V1 size differences are not predicted by overall brain size and thus the size variance is not easily normalized away (Dougherty et al., 2003).”
Visual field maps in human cortex. (2007, positive): “Some cortical visual field maps are principally devoted to processing foveal information, others less so (Dougherty et al., 2003; Ejima et al., 2003; Engel et al., 1997; Pitzalis et al., 2006; Sereno et al., 1995).”
Visual Topography of Human Intraparietal Sulcus (2007, background): “…or absence of apparent gaps in the visuotopic complex may then result from intersubject variability in the scaling of this spatial representation (Dougherty et al., 2003; Duncan and Boynton, 2003), with the space outside the visual field represented to varying degrees in different individuals,…”
Visual field map clusters in human cortex (2005, methodology): “The macaque V1 has only half the surface area (2000 mm 2 ; Brewer et al. 2002) of the human V1 (4000 mm 2 ; Dougherty et al. 2003).”
Inverse retinotopy: Inferring the visual content of images from brain activation patterns (2006, methodology): “Retinotopic mapping, based on a travelling wave paradigm, is a standard procedure in the fMRI literature (see e.g. Sereno et al., 1995; DeYoe et al., 1996; Tootell et al., 1996, 2003; Engel et al., 1997; Warnking et al., 2002; Dougherty et al., 2003; Wotawa et al., 2005).”
The structural basis of inter-individual differences in human behaviour and cognition (2011, background): “Perception The existence of inter-individual variability in psychophysical thresholds for sensory discrimination has been known for many years, as has that of inter-individual variability in the size of components of early sensory processing pathways, such as the lateral geniculate nucleus”
Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases. (2012, methodology): “…variability in areal size, which exceeds 2-fold even for well-defined cortical areas in humans as in the macaque (Andrews et al. 1997; Dougherty et al. 2003; Eickhoff et al. 2005; Caspers et al. 2008); 3) variability in the location of areal boundaries relative to the folds used as…”