Comparative mapping of higher visual areas in monkeys and humans.

By Guy A. Orban, D. V. Van Essen, Wim Vanduffel. Trends in Cognitive Sciences, 2004

649 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f128c6fa3552e0a0d94192d9b435116cfdbc3797

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In Cognitive Neuroscience

Citations in the corpus

Visual field map clusters in human cortex (2005, methodology): “Following in this direction, Orban and colleagues are exploring the hypothesis that the macaque V4 map should be broken into two visual areas ( Orban et al. 2004, p. 320 ‐321).”
Similar patterns of cortical expansion during human development and evolution (2010, methodology): “The ratio of human to macaque cortical surface area is regionally very nonuniform as inferred by interspecies surfacebased registration using regions known or strongly suspected to be homologous as registration constraints (15, 22).”
fMRI of the face-processing network in the ventral temporal lobe of awake and anesthetized macaques. (2011, background): “…is most robust in humans (while STS activation is often weak), the middle STS patch was suggested to be the macaque equivalent of FFA, which was supported by similarity after warping the brain maps of macaques and humans (Orban et al., 2004; Rajimehr et al., 2009; Tsao et al., 2003, 2008a).”
Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases. (2012, background): “The regions of rapid evolutionary expansion in the human lineage lie in lateral temporal, parietal, and prefrontal cortex (Orban et al. 2004; Van Essen and Dierker 2007) and overlap extensively with the unparcellated regions in the human composite map (Fig.”
Comparing face patch systems in macaques and humans (2008, background): “Should these homologies be established for the face-processing system, then face areas could serve as landmarks that can be used to understand the evolution of the large expanse of temporal lobe between them (38).”
How does the brain solve visual object recognition? (2012, neutral): “While the human homology to monkey IT cortex is not well-established, a likely homology is the cortex in and around the human lateral occipital cortex (LOC) (see (Orban et al., 2004) for review).”
Mapping the Structural Core of Human Cerebral Cortex (2008, background): “Direct comparison is made difficult by differences in spatial resolution (998 ROIs in human, 30–70 regions in macaque), the incomplete coverage of macaque cortex in most extant datasets, the lack of interhemispheric connections in the macaque, the lack of connection density data in the macaque, and ”
Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey (2008, background): “Within the visual system, this approach has revealed coarse-scale regional homologies for early visual areas and object-sensitive inferior temporal (IT) cortex (Van Essen et al., 2001; Tsao et al., 2003; Tootell et al., 2003; Denys et al., 2004; Orban et al., 2004; Van Essen and Dierker, 2007).”
Recurrent Processing during Object Recognition (2013, background): “Object recognition in the human cortex operates in a similar hierarchical fashion, with homologous object-selective regions distributed throughout the lateral occipital cortex (LOC) (Grill-Spector et al., 2001; Orban et al., 2004; Kriegeskorte et al., 2008).”
Imaging retinotopic maps in the human brain (2010, neutral): “in inferior temporal and intraparietal regions (Orban et al., 2004).”
The Neurobiology of Semantic Memory (2011, neutral): “These areas have expanded disproportionately in the human brain relative to the monkey brain, ‘taking over’ much of the temporal lobe from the visual system [39].”
Interactions between number and space in parietal cortex (2005, background): “Neuroimaging studies of spatial cognition Recent neuroimaging studies have identified putative human homologues of macaque IPS region”