The exquisite capacity of primates to detect and recognize faces is crucial for social interactions. Although disentangling the neural basis of human face recognition remains a key goal in neuroscience, direct evidence at the single-neuron level is limited. We recorded from face-selective neurons in human visual cortex in a region characterized by functional magnetic resonance imaging (fMRI) activations for faces compared with objects. The majority of visually responsive neurons in this fMRI activation showed strong selectivity at short latencies for faces compared with objects. Feature-scrambled faces and face-like objects could also drive these neurons, suggesting that this region is not tightly tuned to the visual attributes that typically define whole human faces. These single-cell recordings within the human face processing system provide vital experimental evidence linking previous imaging studies in humans and invasive studies in animal models.
Brain connectivity in non-human primates (NHPs) has been mainly investigated using tracer techniques and functional connectivity studies. Data on structural connections are scarce and come from diffusion tensor imaging (DTI), since gross anatomical white matter dissection studies in the NHP are lacking. The current study aims to illustrate the course and topography of the major white matter tracts in the macaque using Klingler's fiber dissection. 10 hemispheres obtained from 5 primate brains (Macaca mulatta) were studied according to Klingler's fiber dissection technique. Dissection was performed in a stepwise mesial and lateral fashion exposing the course and topography of the major white matter bundles. Major white matter tracts in the NHP include the corona radiata, tracts of the sagittal stratum, the uncinate fasciculus, the cingulum and the fornix. Callosal fiber topography was homologous to the human brain with leg motor fibers running in the posterior half of the corpus callosum. The relative size of the anterior commissure was larger in the NHP. NHPs and humans share striking homologies with regard to the course and topography of the major white matter tracts.
The human lateral occipital complex (LOC) is more strongly activated by images of objects compared to scrambled controls, but detailed information at the neuronal level is currently lacking. We recorded with microelectrode arrays in the LOC of 2 patients and obtained highly selective single-unit, multi-unit, and high-gamma responses to images of objects. Contrary to predictions derived from functional imaging studies, all neuronal properties indicated that the posterior subsector of LOC we recorded from occupies an unexpectedly high position in the hierarchy of visual areas. Notably, the response latencies of LOC neurons were long, the shape selectivity was spatially clustered, LOC receptive fields (RFs) were large and bilateral, and a number of LOC neurons exhibited three-dimensional (3D)-structure selectivity (a preference for convex or concave stimuli), which are all properties typical of end-stage ventral stream areas. Thus, our results challenge prevailing ideas about the position of the more posterior subsector of LOC in the hierarchy of visual areas.
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