Patch Neurons Research Articles

Encoding of 3D physical dimensions by face-selective cortical neurons

Neurons throughout the primate inferior temporal (IT) cortex respond selectively to visual images of faces and other complex objects. The response magnitude of neurons to a given image often depends on the size at which the image is presented, usually on a flat display at a fixed distance. While such size sensitivity might simply reflect the angular subtense of retinal image stimulation in degrees, one unexplored possibility is that it tracks the real-world geometry of physical objects, such as their size and distance to the observer in centimeters. This distinction bears fundamentally on the nature of object representation in IT and on the scope of visual operations supported by the ventral visual pathway. To address this question, we assessed the response dependency of neurons in the macaque anterior fundus (AF) face patch to the angular versus physical size of faces. We employed a macaque avatar to stereoscopically render three-dimensional (3D) photorealistic faces at multiple sizes and distances, including a subset of size/distance combinations designed to cast the same size retinal image projection. We found that most AF neurons were modulated principally by the 3D physical size of the face rather than its two-dimensional (2D) angular size on the retina. Further, most neurons responded strongest to extremely large and small faces, rather than to those of normal size. Together, these findings reveal a graded encoding of physical size among face patch neurons, providing evidence that category-selective regions of the primate ventral visual pathway participate in a geometric analysis of real-world objects.

Brain-wide functional connectivity of face patch neurons during rest

The brain is a highly organized, dynamic system whose network architecture is often assessed through resting functional magnetic resonance imaging (fMRI) functional connectivity. The functional interactions between brain areas, including those observed during rest, are assumed to stem from the collective influence of action potentials carried by long-range neural projections. However, the contribution of individual neurons to brain-wide functional connectivity has not been systematically assessed. Here we developed a method to concurrently measure and compare the spiking activity of local neurons with fMRI signals measured across the brain during rest. We recorded spontaneous activity from neural populations in cortical face patches in the macaque during fMRI scanning sessions. Individual cells exhibited prominent, bilateral coupling with fMRI fluctuations in a restricted set of cortical areas inside and outside the face patch network, partially matching the pattern of known anatomical projections. Within each face patch population, a subset of neurons was positively coupled with the face patch network and another was negatively coupled. The same cells showed inverse correlations with distinct subcortical structures, most notably the lateral geniculate nucleus and brainstem neuromodulatory centers. Corresponding connectivity maps derived from fMRI seeds and local field potentials differed from the single unit maps, particularly in subcortical areas. Together, the results demonstrate that the spiking fluctuations of neurons are selectively coupled with discrete brain regions, with the coupling governed in part by anatomical network connections and in part by indirect neuromodulatory pathways.

Explaining face representation in the primate brain using different computational models

Understanding how the brain represents the identity of complex objects is a central challenge of visual neuroscience. The principles governing object processing have been extensively studied in the macaque face patch system, a sub-network of inferotemporal (IT) cortex specialized for face processing. A previous study reported that single face patch neurons encode axes of a generative model called the "active appearance" model, which transforms 50D feature vectors separately representing facial shape and facial texture into facial images. However, a systematic investigation comparing this model to other computational models, especially convolutional neural network models that have shown success in explaining neural responses in the ventral visual stream, has been lacking. Here, we recorded responses of cells in the most anterior face patch anterior medial (AM) to a large set of real face images and compared a large number of models for explaining neural responses. We found that the active appearance model better explained responses than any other model except CORnet-Z, a feedforward deep neural network trained on general object classification to classify non-face images, whose performance it tied on some face image sets and exceeded on others. Surprisingly, deep neural networks trained specifically on facial identification did not explain neural responses well. A major reason is that units in the network, unlike neurons, are less modulated by face-related factors unrelated to facial identification, such as illumination.

Ultrafast Sodium Imaging of the Axon Initial Segment of Neurons in Mouse Brain Slices.

Monitoring Na+ influx in the axon initial segment (AIS) at high spatial and temporal resolution is fundamental to understanding the generation of an action potential (AP). Here, we present protocols to obtain this measurement, focusing on the AIS of layer 5 (L5) somatosensory cortex pyramidal neurons in mouse brain slices. We first outline how to prepare slices for this application, how to select and patch neurons, and how to optimize the image acquisition. Specifically, we describe the preparation of optimal slices, patching and loading of L5 pyramidal neurons with the Na+ indicator ING-2, and Na+ imaging at 100 µs temporal resolution with a pixel resolution of half a micron. Then, we present a data analysis strategy in order to extract information on the kinetics of activated voltage-gated Na+ channels by determining the change in Na+ by compensating for bleaching and calculating the time derivative of the resulting fit. In sum, this approach can be widely applied when investigating the function of Na+ channels during initiation of an AP and propagation under physiological or pathological conditions in neuronal subtypes. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Preparation of cortical slices Basic Protocol 2: Selection, patching, and Na+ fluorescence recording of a neuron Support Protocol: Calibrating Na+ fluorescence Basic Protocol 3: Data analysis.

Audiovisual integration in macaque face patch neurons

SummaryPrimate social communication depends on the perceptual integration of visual and auditory cues, reflected in the multimodal mixing of sensory signals in certain cortical areas. The macaque cortical face patch network, identified through visual, face-selective responses measured with fMRI, is assumed to contribute to visual social interactions. However, whether face patch neurons are also influenced by acoustic information, such as the auditory component of a natural vocalization, remains unknown. Here, we recorded single-unit activity in the anterior fundus (AF) face patch, in the superior temporal sulcus, and anterior medial (AM) face patch, on the undersurface of the temporal lobe, in macaques presented with audiovisual, visual-only, and auditory-only renditions of natural movies of macaques vocalizing. The results revealed that 76% of neurons in face patch AF were significantly influenced by the auditory component of the movie, most often through enhancement of visual responses but sometimes in response to the auditory stimulus alone. By contrast, few neurons in face patch AM exhibited significant auditory responses or modulation. Control experiments in AF used an animated macaque avatar to demonstrate, first, that the structural elements of the face were often essential for audiovisual modulation and, second, that the temporal modulation of the acoustic stimulus was more important than its frequency spectrum. Together, these results identify a striking contrast between two face patches and specifically identify AF as playing a potential role in the integration of audiovisual cues during natural modes of social communication.

Lesion of striatal patches disrupts habitual behaviors and increases behavioral variability.

Habits are automated behaviors that are insensitive to changes in behavioral outcomes. Habitual responding is thought to be mediated by the striatum, with medial striatum guiding goal-directed action and lateral striatum promoting habits. However, interspersed throughout the striatum are neurochemically differing subcompartments known as patches, which are characterized by distinct molecular profiles relative to the surrounding matrix tissue. These structures have been thoroughly characterized neurochemically and anatomically, but little is known regarding their function. Patches have been shown to be selectively activated during inflexible motor stereotypies elicited by stimulants, suggesting that patches may subserve habitual behaviors. To explore this possibility, we utilized transgenic mice (Sepw1 NP67) preferentially expressing Cre recombinase in striatal patch neurons to target these neurons for ablation with a virus driving Cre-dependent expression of caspase 3. Mice were then trained to press a lever for sucrose rewards on a variable interval schedule to elicit habitual responding. Mice were not impaired on the acquisition of this task, but lesioning striatal patches disrupted behavioral stability across training, and lesioned mice utilized a more goal-directed behavioral strategy during training. Similarly, when mice were forced to omit responses to receive sucrose rewards, habitual responding was impaired in lesioned mice. To rule out effects of lesion on motor behaviors, mice were then tested for impairments in motor learning on a rotarod and locomotion in an open field. We found that patch lesions partially impaired initial performance on the rotarod without modifying locomotor behaviors in open field. This work indicates that patches promote behavioral stability and habitual responding, adding to a growing literature implicating striatal patches in stimulus-response behaviors.

Local image features dominate responses of AM and AF face patch neurons

Local image features dominate responses of AM and AF face patch neurons

Shape Selectivity of Middle Superior Temporal Sulcus Body Patch Neurons.

Functional MRI studies in primates have demonstrated cortical regions that are strongly activated by visual images of bodies. The presence of such body patches in macaques allows characterization of the stimulus selectivity of their single neurons. Middle superior temporal sulcus body (MSB) patch neurons showed similar stimulus selectivity for natural, shaded, and textured images compared with their silhouettes, suggesting that shape is an important determinant of MSB responses. Here, we examined and modeled the shape selectivity of single MSB neurons. We measured the responses of single MSB neurons to a variety of shapes producing a wide range of responses. We used an adaptive stimulus sampling procedure, selecting and modifying shapes based on the responses of the neuron. Forty percent of shapes that produced the maximal response were rated by humans as animal-like, but the top shape of many MSB neurons was not judged as resembling a body. We fitted the shape selectivity of MSB neurons with a model that parameterizes shapes in terms of curvature and orientation of contour segments, with a pixel-based model, and with layers of units of convolutional neural networks (CNNs). The deep convolutional layers of CNNs provided the best goodness-of-fit, with a median explained explainable variance of the neurons’ responses of 77%. The goodness-of-fit increased along the convolutional layers’ hierarchy but was lower for the fully connected layers. Together with demonstrating the successful modeling of single unit shape selectivity with deep CNNs, the data suggest that semantic or category knowledge determines only slightly the single MSB neuron’s shape selectivity.

Coding of viewpoint, posture and identity of bodies in the macaque midSTS body patch.

Event Abstract Back to Event Coding of viewpoint, posture and identity of bodies in the macaque midSTS body patch. Satwant Kumar1* and Rufin Vogels1* 1 KU Leuven, Dept. of Neurosciences, Belgium FMRI studies in primates show body-category selective activations in temporal cortex. Single unit studies in the midSTS body patch revealed greater activity to images containing bodies compared to faces and objects. However, these neurons showed a marked body image selectivity, responding only to some body images. The body image selectivity may reflect encoding of body identity, posture and viewpoint. Here we examined the selectivity of the fMRI-defined macaque midSTS body patch neurons for these three variables. We designed a novel computer-generated stimulus set (n= 120 stimuli) depicting monkeys that differ in anthropometric features (identity; fat, normal and thin), with 5 different postures (2 threat, 2 submissive and 1 neutral posture), rendered at 8 viewpoints (45 deg step; rotated around the vertical axis). The internal facial features of the head were removed. The images were presented for 200 ms each during passive fixation in 2 rhesus male monkeys. Single unit recordings showed a marked selectivity for viewpoint and posture. We employed linear SVM with cross-validation to decode viewpoint, posture and identity from the responses of 88 midSTS neurons. First we asked whether we could decode one variable (e.g. viewpoint) when varying the two other variables (e.g. posture and identity). Decoding of identity and posture invariant viewpoint (classification accuracy: 73%; 200 ms binwidth; chance level : 12.5%) and viewpoint and identity invariant posture (50%; chance level: 20%) was well above chance (permutation test with shuffled stimulus labels; p < 0.005) but viewpoint and posture invariant identity decoding (36%) was barely above chance level (33%; p = 0.04). However, it was possible to decode identity for particular view and posture combinations (accuracy ranging between 57 and 95%; chance = 33%). Second, we asked how tolerant the decoding of one variable is for changes of the other variables by training e.g. viewpoint decoding at one particular identity and posture and testing at the same and other combinations of the latter two variables. This analysis revealed little generalization of posture and identity decoding with viewpoint, in line with the viewpoint selectivity of midSTS body patch neurons. Posture and viewpoint decoding generalized well across identities. Analysis of the viewpoint-dependent errors in pose encoding suggested an encoding of head orientation by these body patch neurons. Viewpoint decoding generalized across the threat but not across the other postures. These data suggest that the output of midSTS body patch neurons are useful to decode the posture and orientation of bodies, with a role of head orientation. Keywords: macaque, body patch, Electrophysiology, Neural Encoding, Identity, viewpoint invariance, viewpoint generalization, Posture Conference: 12th National Congress of the Belgian Society for Neuroscience, Gent, Belgium, 22 May - 22 May, 2017. Presentation Type: Poster Presentation Topic: Sensory and Motor Systems Citation: Kumar S and Vogels R (2019). Coding of viewpoint, posture and identity of bodies in the macaque midSTS body patch.. Front. Neurosci. Conference Abstract: 12th National Congress of the Belgian Society for Neuroscience. doi: 10.3389/conf.fnins.2017.94.00055 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 24 Apr 2017; Published Online: 25 Jan 2019. * Correspondence: Mr. Satwant Kumar, KU Leuven, Dept. of Neurosciences, LEUVEN, 3000, Belgium, satwant.dagar@gmail.com Prof. Rufin Vogels, KU Leuven, Dept. of Neurosciences, LEUVEN, 3000, Belgium, rufin.vogels@kuleuven.be Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Satwant Kumar Rufin Vogels Google Satwant Kumar Rufin Vogels Google Scholar Satwant Kumar Rufin Vogels PubMed Satwant Kumar Rufin Vogels Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

Genetic-Based Dissection Unveils the Inputs and Outputs of Striatal Patch and Matrix Compartments

The striatum contains neurochemically defined compartments termed patches and matrix. Previous studies suggest patches preferentially receive limbic inputs and project to dopamine neurons in substantia nigra pars compacta (SNc), whereas matrix neurons receive sensorimotor inputs and do not innervate SNc. Using BAC-Cre transgenic mice with viral tracing techniques, we mapped brain-wide differences in the input-output organization of the patch/matrix. Findings reveal a displaced population of striatal patch neurons termed "exo-patch," which reside in matrix zones but have neurochemistry, connectivity, and electrophysiological characteristics resembling patch neurons. Contrary to previous studies, results show patch/exo-patch and matrix neurons receive both limbic and sensorimotor information. A novel inhibitory projection from bed nucleus of the stria terminalis to patch/exo-patch neurons was revealed. Projections to SNc were found to originate from patch/exo-patch and matrixneurons. These findings redefine patch/matrix beyond traditional neurochemical topography and reveal new principles about their input-output connectivity, providing a foundation for future functional studies.

Stimulus features coded by single neurons of a macaque body category selective patch

Body category-selective regions of the primate temporal cortex respond to images of bodies, but it is unclear which fragments of such images drive single neurons' responses in these regions. Here we applied the Bubbles technique to the responses of single macaque middle superior temporal sulcus (midSTS) body patch neurons to reveal the image fragments the neurons respond to. We found that local image fragments such as extremities (limbs), curved boundaries, and parts of the torso drove the large majority of neurons. Bubbles revealed the whole body in only a few neurons. Neurons coded the features in a manner that was tolerant to translation and scale changes. Most image fragments were excitatory but for a few neurons both inhibitory and excitatory fragments (opponent coding) were present in the same image. The fragments we reveal here in the body patch with Bubbles differ from those suggested in previous studies of face-selective neurons in face patches. Together, our data indicate that the majority of body patch neurons respond to local image fragments that occur frequently, but not exclusively, in bodies, with a coding that is tolerant to translation and scale. Overall, the data suggest that the body category selectivity of the midSTS body patch depends more on the feature statistics of bodies (e.g., extensions occur more frequently in bodies) than on semantics (bodies as an abstract category).

Tolerance of macaque middle STS body patch neurons to shape-preserving stimulus transformations.

Functional imaging studies in human and nonhuman primates have demonstrated regions in the brain that show category selectivity for faces or (headless) bodies. Recent fMRI-guided single unit studies of the macaque face category-selective regions have increased our understanding of the response properties of single neurons in these face patches. However, much less is known about the response properties of neurons in the fMRI-defined body category-selective regions ("body patches"). Recently, we reported that the majority of single neurons in one fMRI-defined body patch, the mid-STS body patch, responded more strongly to bodies compared with other objects. Here we assessed the tolerance of these neurons' responses and stimulus preference for shape-preserving image transformations. After mapping the receptive field of the single neurons, we found that their stimulus preference showed a high degree of tolerance for changes in the position and size of the stimulus. However, their response strongly depended on the in-plane orientation of a body. The selectivity of most neurons was, to a large degree, preserved when silhouettes were presented instead of the original textured and shaded images, suggesting that mainly shape-based features are driving these neurons. In a human psychophysical study, we showed that the information present in silhouettes is largely sufficient for body versus nonbody categorization. These data suggest that mid-STS body patch neurons respond predominantly to oriented shape features that are prevalent in images of bodies. Their responses can inform position- and retinal size-invariant body categorization and discrimination based on shape.

Single-unit activity during natural vision: diversity, consistency, and spatial sensitivity among AF face patch neurons.

Several visual areas within the STS of the macaque brain respond strongly to faces and other biological stimuli. Determining the principles that govern neural responses in this region has proven challenging, due in part to the inherently complex stimulus domain of dynamic biological stimuli that are not captured by an easily parameterized stimulus set. Here we investigated neural responses in one fMRI-defined face patch in the anterior fundus (AF) of the STS while macaques freely view complex videos rich with natural social content. Longitudinal single-unit recordings allowed for the accumulation of each neuron's responses to repeated video presentations across sessions. We found that individual neurons, while diverse in their response patterns, were consistently and deterministically driven by the video content. We used principal component analysis to compute a family of eigenneurons, which summarized 24% of the shared population activity in the first two components. We found that the most prominent component of AF activity reflected an interaction between visible body region and scene layout. Close-up shots of faces elicited the strongest neural responses, whereas far away shots of faces or close-up shots of hindquarters elicited weak or inhibitory responses. Sensitivity to the apparent proximity of faces was also observed in gamma band local field potential. This category-selective sensitivity to spatial scale, together with the known exchange of anatomical projections of this area with regions involved in visuospatial analysis, suggests that the AF face patch may be specialized in aspects of face perception that pertain to the layout of a social scene.

Tolerance of macaque middle superior temporal sulcus body patch neurons to shape-preserving stimulus transformations.

Tolerance of macaque middle superior temporal sulcus body patch neurons to shape-preserving stimulus transformations.

Preformed vs. on‐demand: Molecular economics of endocannabinoid signalling

Preformed <i>vs</i>. on‐demand: Molecular economics of endocannabinoid signalling

A face feature space in the macaque temporal lobe

The ability of primates to effortlessly recognize faces has been attributed to the existence of specialized face areas. One such area, the macaque middle face patch, consists almost entirely of cells that are selective for faces, but the principles by which these cells analyze faces are unknown. We found that middle face patch neurons detect and differentiate faces using a strategy that is both part based and holistic. Cells detected distinct constellations of face parts. Furthermore, cells were tuned to the geometry of facial features. Tuning was most often ramp-shaped, with a one-to-one mapping of feature magnitude to firing rate. Tuning amplitude depended on the presence of a whole, upright face and features were interpreted according to their position in a whole, upright face. Thus, cells in the middle face patch encode axes of a face space specialized for whole, upright faces.

Afferent influences on striatal development in organotypic cocultures

Organotypic cocultures of striatum, cortex, and ventral mesencephalon were used to study the anatomical and physiological development of striatal neurons in the presence or absence of cortical and nigral (SN/VTA) inputs. Striatum and cortex were dissected from prenatal (E18-E22) or early postnatal (P0-P2) rats, and SN/VTA was dissected from E14-15 fetuses; pieces were maintained up to 3 weeks in static slice culture. Triple cocultures containing SN/VTA exhibited rapid and robust dopamine (DA) innervation of the striatum in a patchy pattern, and homogeneous distribution within the cortical piece, regardless of the orientations of the three pieces. DA fibers within the striatal piece overlapped striatal patch neurons, marked by DARPP-32 immunoreactivity, in striatal cultures prepared from all age rats, but development most analogous to that seen in vivo was observed with the use of late prenatal (E20-E22) striatum. The patch/matrix organization was maintained in cultures prepared from late prenatal striatum in the presence of cortical and nigrostriatal DA afferents. In addition, a more complete transition to a patchy organization was observed in E18/19 striatal cultures in the presence of cortical and DA innervation. Electrophysiological recording demonstrated the presence of both spontaneous and cortically evoked activity in striatal medium spiny neurons; this activity was greatly influenced by the presence of DA innervation. These findings demonstrate the importance of afferent innervation in the maturation of striatal neurons in organotypic cultures.

Notch signaling coordinates the patterning of striatal compartments

Numerous lines of evidence suggest that Notch signaling plays a pivotal role in controlling the production of neurons from progenitor cells. However, most experiments have relied on gain-of-function approaches because perturbation of Notch signaling results in death prior to the onset of neurogenesis. Here, we examine the requirement for Notch signaling in the development of the striatum through the analysis of different single and compound Notch1 conditional and Notch3 null mutants. We find that normal development of the striatum depends on the presence of appropriate Notch signals in progenitors during a critical window of embryonic development. Early removal of Notch1 prior to neurogenesis alters early-born patch neurons but not late-born matrix neurons in the striatum. We further show that the late-born striatal neurons in these mutants are spared as a result of functional compensation by Notch3. Notably, however, the removal of Notch signaling subsequent to cells leaving the germinal zone has no obvious effect on striatal organization and patterning. These results indicate that Notch signaling is required in neural progenitor cells to control cell fate in the striatum, but is dispensable during subsequent phases of neuronal migration and differentiation.

Expression of opioid peptides and receptors in striatum and substantia nigra during rat brain development

We have used highly sensitive in situ hybridization to determine opioid receptor and peptide expression in embryonic and postnatal rat striatum, to follow the compartmentalization into patch and matrix structures, and have examined their developmental expression in the dopaminergic cell group of the substantia nigra (SN). Furthermore, opioid receptor binding sites were characterized in adjacent sections using highly selective ligands for the opioid receptor subtypes. The major findings of the study are: (1) striatal patches were first delineated by prodynorphin mRNA followed by μ opioid receptor mRNA expression at embryonic days 19 and 21, respectively; (2) in neonates, prodynorphin, μ and κ opioid receptor mRNAs were transiently co-distributed within patches; (3) prodynorphin mRNA was co-expressed with μ, but not κ, receptor mRNA in neonatal patch neurons; (4) in the SN, κ receptor and prodynorphin mRNAs were detected as early as embryonic days 15 and 19, respectively; (5) κ receptor, but not prodynorphin, mRNA was expressed in dopaminergic neurons in the SN. The anatomical results are in agreement with the hypothesis that the endogenous opioid system has a trophic role during the development of striatal patch and matrix compartments and suggest the early regulation of dopamine release by κ opioid receptors.

Basal EGR-1 (zif268, NGFI-A, Krox-24) expression in developing striatal patches: role of dopamine and glutamate

Egr-1 (also known as zif268, NGFI-A, or Krox 24) is an immediate-early gene of the zinc finger family that exhibits relatively high constitutive expression in the brain, as well as inducibility by seizure activity, stimulants, and salient physiological stimuli. Immunocyto-chemical detection of the Egr-1 protein in the developing striatum revealed that in the late prenatal and early postnatal period, Egr-1 protein was expressed selectively in patches of striatal neurons under basal conditions. Egr-1 immunoreactivity was co-expressed with known markers of striatal patch neurons, indicating that expression was greatest in the striatal patch compartment. This patchy expression of Egr-1 transitioned to a nearly homogeneous pattern of Egr-1-immunoreactive cells by postnatal day 10, at which time most striatal neurons appeared to be Egr-1-immunoreactive. The dopamine D1 antagonist SCH23390 (0.5–1.0 mg/kg) reduced Egr-1 expression during the first week postnatal, but it was no longer effective at postnatal day 10. On the other hand, the noncompetitive NMDA antagonist MK-801 (0.5–1.0 mg/kg) became more effective at reducing Egr-1 expression with age. Neonatal destruction of nigrostriatal dopamine afferents reduced the basal pattern of Egr-1 expression for 2–3 days after the lesion, but then Egr-1 expression returned. Thus, Egr-1 expression in the developing striatum appears to be driven first by dopaminergic afferents, and then later in development by excitatory glutamatergic afferents.