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Articoli di riviste sul tema "Primary Visual Cortex (PVC)"

Autore: Grafiati

Pubblicato: 2 novembre 2024

Ultima modifica: 31 luglio 2025

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1

Dai, Peishan, Jinlong Zhang, Jing Wu, et al. "Altered Spontaneous Brain Activity of Children with Unilateral Amblyopia: A Resting State fMRI Study." Neural Plasticity 2019 (July 25, 2019): 1–10. http://dx.doi.org/10.1155/2019/3681430.

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Objective. This study is aimed at investigating differences in local brain activity and functional connectivity (FC) between children with unilateral amblyopia and healthy controls (HCs) by using resting state functional magnetic resonance imaging (rs-fMRI). Methods. Local activity and FC analysis methods were used to explore the altered spontaneous brain activity of children with unilateral amblyopia. Local brain function analysis methods included the amplitude of low-frequency fluctuation (ALFF). FC analysis methods consisted of the FC between the primary visual cortex (PVC-FC) and other bra

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2

Padnick, Lissa B., Robert A. Linsenmeier, and Thomas K. Goldstick. "Perfluorocarbon emulsion improves oxygenation of the cat primary visual cortex." Journal of Applied Physiology 86, no. 5 (1999): 1497–504. http://dx.doi.org/10.1152/jappl.1999.86.5.1497.

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Tissue[Formula: see text] was measured in the primary visual cortex of anesthetized, artificially ventilated, normovolemic cats to evaluate the effect of small doses [1 g perfluorocarbon (PFC)/kg] of a PFC emulsion (1 g PFC/1.1 ml emulsion; Alliance Pharmaceutical, San Diego, CA) on brain oxygenation. The change in tissue [Formula: see text]([Formula: see text]), resulting from briefly changing the respiratory gas from room air to 100% oxygen, was measured before and after intravenous infusion of the emulsion. Before emulsion, [Formula: see text] was 51.1 ± 45.6 Torr ( n = 8 cats). Increases i

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3

Reed, Catherine L. "Divisions within the posterior parietal cortex help touch meet vision." Behavioral and Brain Sciences 30, no. 2 (2007): 218. http://dx.doi.org/10.1017/s0140525x07001574.

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AbstractThe parietal cortex is divided into two major functional regions: the anterior parietal cortex that includes primary somatosensory cortex, and the posterior parietal cortex (PPC) that includes the rest of the parietal lobe. The PPC contains multiple representations of space. In Dijkerman & de Haan's (D&dH's) model, higher spatial representations are separate from PPC functions. This model should be developed further so that the functions of the somatosensory system are integrated with specific functions within the PPC and higher spatial representations. Through this further spe

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4

Karabanov, Anke, Seung-Hyun Jin, Atte Joutsen, et al. "Timing-dependent modulation of the posterior parietal cortex–primary motor cortex pathway by sensorimotor training." Journal of Neurophysiology 107, no. 11 (2012): 3190–99. http://dx.doi.org/10.1152/jn.01049.2011.

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Interplay between posterior parietal cortex (PPC) and ipsilateral primary motor cortex (M1) is crucial during execution of movements. The purpose of the study was to determine whether functional PPC–M1 connectivity in humans can be modulated by sensorimotor training. Seventeen participants performed a sensorimotor training task that involved tapping the index finger in synchrony to a rhythmic sequence. To explore differences in training modality, one group ( n = 8) learned by visual and the other ( n = 9) by auditory stimuli. Transcranial magnetic stimulation (TMS) was used to assess PPC–M1 co

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5

Yan, Xiaodan. "Dissociated Emergent-Response System and Fine-Processing System in Human Neural Network and a Heuristic Neural Architecture for Autonomous Humanoid Robots." Computational Intelligence and Neuroscience 2010 (2010): 1–8. http://dx.doi.org/10.1155/2010/314932.

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The current study investigated the functional connectivity of the primary sensory system with resting state fMRI and applied such knowledge into the design of the neural architecture of autonomous humanoid robots. Correlation and Granger causality analyses were utilized to reveal the functional connectivity patterns. Dissociation was within the primary sensory system, in that the olfactory cortex and the somatosensory cortex were strongly connected to the amygdala whereas the visual cortex and the auditory cortex were strongly connected with the frontal cortex. The posterior cingulate cortex (

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6

Liu, Qin, Antonio Ulloa, and Barry Horwitz. "Using a Large-scale Neural Model of Cortical Object Processing to Investigate the Neural Substrate for Managing Multiple Items in Short-term Memory." Journal of Cognitive Neuroscience 29, no. 11 (2017): 1860–76. http://dx.doi.org/10.1162/jocn_a_01163.

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Many cognitive and computational models have been proposed to help understand working memory. In this article, we present a simulation study of cortical processing of visual objects during several working memory tasks using an extended version of a previously constructed large-scale neural model [Tagamets, M. A., & Horwitz, B. Integrating electrophysiological and anatomical experimental data to create a large-scale model that simulates a delayed match-to-sample human brain imaging study. Cerebral Cortex, 8, 310–320, 1998]. The original model consisted of arrays of Wilson–Cowan type of neur

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7

Everling, Stefan, and Kevin Johnston. "Control of the superior colliculus by the lateral prefrontal cortex." Philosophical Transactions of the Royal Society B: Biological Sciences 368, no. 1628 (2013): 20130068. http://dx.doi.org/10.1098/rstb.2013.0068.

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Several decades of patient, functional imaging and neurophysiological studies have supported a model in which the lateral prefrontal cortex (PFC) acts to suppress unwanted saccades by inhibiting activity in the oculomotor system. However, recent results from combined PFC deactivation and neural recordings of the superior colliculus in monkeys demonstrate that the primary influence of the PFC on the oculomotor system is excitatory, and stands in direct contradiction to the inhibitory model of PFC function. Although erroneous saccades towards a visual stimulus are commonly labelled reflexive in

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8

Oh, Jihoon, Jae Hyung Kwon, Po Song Yang, and Jaeseung Jeong. "Auditory Imagery Modulates Frequency-specific Areas in the Human Auditory Cortex." Journal of Cognitive Neuroscience 25, no. 2 (2013): 175–87. http://dx.doi.org/10.1162/jocn_a_00280.

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Neural responses in early sensory areas are influenced by top–down processing. In the visual system, early visual areas have been shown to actively participate in top–down processing based on their topographical properties. Although it has been suggested that the auditory cortex is involved in top–down control, functional evidence of topographic modulation is still lacking. Here, we show that mental auditory imagery for familiar melodies induces significant activation in the frequency-responsive areas of the primary auditory cortex (PAC). This activation is related to the characteristics of th

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9

Sellers, Kristin K., Davis V. Bennett, Axel Hutt, James H. Williams, and Flavio Fröhlich. "Awake vs. anesthetized: layer-specific sensory processing in visual cortex and functional connectivity between cortical areas." Journal of Neurophysiology 113, no. 10 (2015): 3798–815. http://dx.doi.org/10.1152/jn.00923.2014.

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During general anesthesia, global brain activity and behavioral state are profoundly altered. Yet it remains mostly unknown how anesthetics alter sensory processing across cortical layers and modulate functional cortico-cortical connectivity. To address this gap in knowledge of the micro- and mesoscale effects of anesthetics on sensory processing in the cortical microcircuit, we recorded multiunit activity and local field potential in awake and anesthetized ferrets ( Mustela putoris furo) during sensory stimulation. To understand how anesthetics alter sensory processing in a primary sensory ar

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10

Hedrick, Tristan, and Jack Waters. "Acetylcholine excites neocortical pyramidal neurons via nicotinic receptors." Journal of Neurophysiology 113, no. 7 (2015): 2195–209. http://dx.doi.org/10.1152/jn.00716.2014.

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The neuromodulator acetylcholine (ACh) shapes neocortical function during sensory perception, motor control, arousal, attention, learning, and memory. Here we investigate the mechanisms by which ACh affects neocortical pyramidal neurons in adult mice. Stimulation of cholinergic axons activated muscarinic and nicotinic ACh receptors on pyramidal neurons in all cortical layers and in multiple cortical areas. Nicotinic receptor activation evoked short-latency, depolarizing postsynaptic potentials (PSPs) in many pyramidal neurons. Nicotinic receptor-mediated PSPs promoted spiking of pyramidal neur

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11

Zuo, Yanfang, Yanwang Huang, Dingcheng Wu, Qingxiu Wang, and Zuoren Wang. "Spike Phase Shift Relative to Beta Oscillations Mediates Modality Selection." Cerebral Cortex 30, no. 10 (2020): 5431–48. http://dx.doi.org/10.1093/cercor/bhaa125.

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Abstract How does the brain selectively process signals from stimuli of different modalities? Coherent oscillations may function in coordinating communication between neuronal populations simultaneously involved in such cognitive behavior. Beta power (12–30 Hz) is implicated in top-down cognitive processes. Here we test the hypothesis that the brain increases encoding and behavioral influence of a target modality by shifting the relationship of neuronal spike phases relative to beta oscillations between primary sensory cortices and higher cortices. We simultaneously recorded neuronal spike and

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12

Parra, Andres, Christopher A. Baker, and M. McLean Bolton. "Regional Specialization of Pyramidal Neuron Morphology and Physiology in the Tree Shrew Neocortex." Cerebral Cortex 29, no. 11 (2019): 4488–505. http://dx.doi.org/10.1093/cercor/bhy326.

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Abstract The mammalian cerebral cortex is divided into different areas according to their function and pattern of connections. Studies comparing primary visual (V1) and prefrontal cortex (PFC) of primates have demonstrated striking pyramidal neuron (PN) specialization not present in comparable areas of the mouse neocortex. To better understand PFC evolution and regional PN specialization, we studied the tree shrew, a species with a close phylogenetic relationship to primates. We defined the tree shrew PFC based on cytoarchitectonic borders, thalamic connectivity and characterized the morpholog

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13

Isayama, Reina, Michael Vesia, Gaayathiri Jegatheeswaran, et al. "Rubber hand illusion modulates the influences of somatosensory and parietal inputs to the motor cortex." Journal of Neurophysiology 121, no. 2 (2019): 563–73. http://dx.doi.org/10.1152/jn.00345.2018.

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The rubber hand illusion (RHI) paradigm experimentally produces an illusion of rubber hand ownership and arm shift by simultaneously stroking a rubber hand in view and a participant’s visually occluded hand. It involves visual, tactile, and proprioceptive multisensory integration and activates multisensory areas in the brain, including the posterior parietal cortex (PPC). Multisensory inputs are transformed into outputs for motor control in association areas such as PPC. A behavioral study reported decreased motor performance after RHI. However, it remains unclear whether RHI modifies the inte

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14

Hashemirad, Fahimeh, Maryam Zoghi, Paul B. Fitzgerald, Masoumeh Hashemirad, and Shapour Jaberzadeh. "Site Dependency of Anodal Transcranial Direct-Current Stimulation on Reaction Time and Transfer of Learning during a Sequential Visual Isometric Pinch Task." Brain Sciences 14, no. 4 (2024): 408. http://dx.doi.org/10.3390/brainsci14040408.

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Considering the advantages of brain stimulation techniques in detecting the role of different areas of the brain in human sensorimotor behaviors, we used anodal transcranial direct-current stimulation (a-tDCS) over three different brain sites of the frontoparietal cortex (FPC) in healthy participants to elucidate the role of these three brain areas of the FPC on reaction time (RT) during a sequential visual isometric pinch task (SVIPT). We also aimed to assess if the stimulation of these cortical sites affects the transfer of learning during SVIPT. A total of 48 right-handed healthy participan

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15

Ren, Jie, Mingming Zhang, Shuaicheng Liu, Weiqi He, and Wenbo Luo. "Maintenance of Bodily Expressions Modulates Functional Connectivity Between Prefrontal Cortex and Extrastriate Body Area During Working Memory Processing." Brain Sciences 14, no. 12 (2024): 1172. http://dx.doi.org/10.3390/brainsci14121172.

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Background/Objectives: As a form of visual input, bodily expressions can be maintained and manipulated in visual working memory (VWM) over a short period of time. While the prefrontal cortex (PFC) plays an indispensable role in top-down control, it remains largely unclear whether this region also modulates the VWM storage of bodily expressions during a delay period. Therefore, the two primary goals of this study were to examine whether the emotional bodies would elicit heightened brain activity among areas such as the PFC and extrastriate body area (EBA) and whether the emotional effects subse

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16

Sellers, Kristin K., Davis V. Bennett, Axel Hutt, and Flavio Fröhlich. "Anesthesia differentially modulates spontaneous network dynamics by cortical area and layer." Journal of Neurophysiology 110, no. 12 (2013): 2739–51. http://dx.doi.org/10.1152/jn.00404.2013.

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Anesthesia is widely used in medicine and research to achieve altered states of consciousness and cognition. Whereas changes to macroscopic cortical activity patterns by anesthesia measured at the spatial resolution of electroencephalography have been widely studied, modulation of mesoscopic and microscopic network dynamics by anesthesia remain poorly understood. To address this gap in knowledge, we recorded spontaneous mesoscopic (local field potential) and microscopic (multiunit activity) network dynamics in primary visual cortex (V1) and prefrontal cortex (PFC) of awake and isoflurane anest

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17

Retter, Talia L., Michael A. Webster, and Fang Jiang. "Directional Visual Motion Is Represented in the Auditory and Association Cortices of Early Deaf Individuals." Journal of Cognitive Neuroscience 31, no. 8 (2019): 1126–40. http://dx.doi.org/10.1162/jocn_a_01378.

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Individuals who are deaf since early life may show enhanced performance at some visual tasks, including discrimination of directional motion. The neural substrates of such behavioral enhancements remain difficult to identify in humans, although neural plasticity has been shown for early deaf people in the auditory and association cortices, including the primary auditory cortex (PAC) and STS region, respectively. Here, we investigated whether neural responses in auditory and association cortices of early deaf individuals are reorganized to be sensitive to directional visual motion. To capture d

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18

HIGO, NORIYUKI, TAKAO OISHI, AKIKO YAMASHITA, KEIJI MATSUDA, and MOTOHARU HAYASHI. "Expression of MARCKS mRNA in lateral geniculate nucleus and visual cortex of normal and monocularly deprived macaque monkeys." Visual Neuroscience 19, no. 5 (2002): 633–43. http://dx.doi.org/10.1017/s0952523802195083.

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We performed a nonradioactive in situ hybridization histochemistry (ISH) study of the lateral geniculate nucleus (LGN) and the primary visual area (area 17) of the macaque monkey to investigate mRNA expression of the myristoylated alanine-rich C-kinase substrate (MARCKS), a major protein kinase C (PKC) substrate. In the LGN, intense hybridization signals were observed in both magnocellular neurons (layers 1 and 2) and parvocellular neurons (layers 3 to 6). Double labeling using ISH and immunofluorescence revealed that MARCKS mRNA was coexpressed with the α-subunit of type II calcium/calmodulin

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19

Muri, R. M., A. I. Vermersch, S. Rivaud, B. Gaymard, and C. Pierrot-Deseilligny. "Effects of single-pulse transcranial magnetic stimulation over the prefrontal and posterior parietal cortices during memory-guided saccades in humans." Journal of Neurophysiology 76, no. 3 (1996): 2102–6. http://dx.doi.org/10.1152/jn.1996.76.3.2102.

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1. We used single-pulse transcranial magnetic stimulation (TMS) to explore the temporal organization of the cortical control of memory-guided saccades in eight humans. The posterior parietal cortex (PPC) or the dorsolateral prefrontal cortex (DPFC), which are both known to be involved in the control of such saccades, were stimulated on the right side at different time intervals after the presentation of a flashed lateral visual target. The memorization delay was 2,000 ms. Single pulses were applied at 160, 260, and 360 ms after the flashed target, during the period of 700 and 1,500 ms, and fin

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20

Yang, Fang-Chi, and Rebecca D. Burwell. "Neuronal Activity in the Rat Pulvinar Correlates with Multiple Higher-Order Cognitive Functions." Vision 4, no. 1 (2020): 15. http://dx.doi.org/10.3390/vision4010015.

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The pulvinar, also called the lateral posterior nucleus of the thalamus in rodents, is one of the higher-order thalamic relays and the main visual extrageniculate thalamic nucleus in rodents and primates. Although primate studies report the pulvinar is engaged under attentional demands, there are open questions about the detailed role of the pulvinar in visuospatial attention. The pulvinar provides the primary thalamic input to the posterior parietal cortex (PPC). Both the pulvinar and the PPC are known to be important for visuospatial attention. Our previous work showed that neuronal activity

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21

Maywald, Maximilian, Marco Paolini, Boris Stephan Rauchmann, et al. "Individual- and Connectivity-Based Real-Time fMRI Neurofeedback to Modulate Emotion-Related Brain Responses in Patients with Depression: A Pilot Study." Brain Sciences 12, no. 12 (2022): 1714. http://dx.doi.org/10.3390/brainsci12121714.

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Introduction: Individual real-time functional magnetic resonance imaging neurofeedback (rtfMRI NF) might be a promising adjuvant in treating depressive symptoms. Further studies showed functional variations and connectivity-related changes in the dorsolateral prefrontal cortex (dlPFC) and the insular cortex. Objectives: The aim of this pilot study was to investigate whether individualized connectivity-based rtfMRI NF training can improve symptoms in depressed patients as an adjunct to a psychotherapeutic programme. The novel strategy chosen for this was to increase connectivity between individ

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Bhat, Jyoti, Lee M. Miller, Mark A. Pitt, and Antoine J. Shahin. "Putative mechanisms mediating tolerance for audiovisual stimulus onset asynchrony." Journal of Neurophysiology 113, no. 5 (2015): 1437–50. http://dx.doi.org/10.1152/jn.00200.2014.

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Audiovisual (AV) speech perception is robust to temporal asynchronies between visual and auditory stimuli. We investigated the neural mechanisms that facilitate tolerance for audiovisual stimulus onset asynchrony (AVOA) with EEG. Individuals were presented with AV words that were asynchronous in onsets of voice and mouth movement and judged whether they were synchronous or not. Behaviorally, individuals tolerated (perceived as synchronous) longer AVOAs when mouth movement preceded the speech (V-A) stimuli than when the speech preceded mouth movement (A-V). Neurophysiologically, the P1-N1-P2 au

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23

Lee, Seung Yeol, Jisu Seo, Cheong Hoon Seo, Yoon Soo Cho, and So Young Joo. "Gait Performance and Brain Activity Are Improved by Gait Automatization during Robot-Assisted Gait Training in Patients with Burns: A Prospective, Randomized, Single-Blinded Study." Journal of Clinical Medicine 13, no. 16 (2024): 4838. http://dx.doi.org/10.3390/jcm13164838.

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Background: Patients with lower extremity burn injuries have decreased gait function. Gait dysfunctions are compensated by activation of executive areas such as the prefrontal cortex (PFC). Although robot-assisted gait training (RAGT) can improve gait function, the training mechanisms of RAGT are unknown. We aimed to determine the clinical effects of RAGT in patients with burns and investigate their underlying mechanisms. Methods: This single-blind, randomized controlled trial involved 54 patients with lower extremity burns. The RAGT group underwent RAGT using SUBAR® and conventional training.

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Solbakk, Anne-Kristin, Ingrid Funderud, Marianne Løvstad, et al. "Impact of Orbitofrontal Lesions on Electrophysiological Signals in a Stop Signal Task." Journal of Cognitive Neuroscience 26, no. 7 (2014): 1528–45. http://dx.doi.org/10.1162/jocn_a_00561.

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Behavioral inhibition and performance monitoring are critical cognitive functions supported by distributed neural networks including the pFC. We examined neurophysiological correlates of motor response inhibition and action monitoring in patients with focal orbitofrontal (OFC) lesions (n = 12) after resection of a primary intracranial tumor or contusion because of traumatic brain injury. Healthy participants served as controls (n = 14). Participants performed a visual stop signal task. We analyzed behavioral performance as well as event-related brain potentials and oscillations. Inhibition dif

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Stern, Peter. "Another primary visual cortex." Science 363, no. 6422 (2019): 39.16–41. http://dx.doi.org/10.1126/science.363.6422.39-p.

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Tong, Frank. "Primary visual cortex and visual awareness." Nature Reviews Neuroscience 4, no. 3 (2003): 219–29. http://dx.doi.org/10.1038/nrn1055.

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Beltramo, Riccardo. "A new primary visual cortex." Science 370, no. 6512 (2020): 46.2–46. http://dx.doi.org/10.1126/science.abe1482.

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Stern, Peter. "Rethinking primary visual cortex function." Science 364, no. 6447 (2019): 1247.14–1249. http://dx.doi.org/10.1126/science.364.6447.1247-n.

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Chan, Jane W. "The Cat Primary Visual Cortex." Journal of Neuro-Ophthalmology 26, no. 1 (2006): 70. http://dx.doi.org/10.1097/01.wno.0000206242.42410.de.

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Pigarev, I., D. Chelvanayagam, J. Cappello, and T. Vidyasagar. "Primary visual cortex and memory." Experimental Brain Research 140, no. 3 (2001): 311–17. http://dx.doi.org/10.1007/s002210100825.

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Posner, M. I., and C. D. Gilbert. "Attention and primary visual cortex." Proceedings of the National Academy of Sciences 96, no. 6 (1999): 2585–87. http://dx.doi.org/10.1073/pnas.96.6.2585.

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Konovenko, Nadiia, and Valentin Lychagin. "Invariants for primary visual cortex." Differential Geometry and its Applications 60 (October 2018): 156–73. http://dx.doi.org/10.1016/j.difgeo.2018.04.009.

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Sengpiel, Frank, and Mark Hübener. "Visual perception: Spotlight on the primary visual cortex." Current Biology 9, no. 9 (1999): R318—R321. http://dx.doi.org/10.1016/s0960-9822(99)80202-4.

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Silvanto, Juha. "Is primary visual cortex necessary for visual awareness?" Trends in Neurosciences 37, no. 11 (2014): 618–19. http://dx.doi.org/10.1016/j.tins.2014.09.006.

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Henriksen, Sid, Seiji Tanabe, and Bruce Cumming. "Disparity processing in primary visual cortex." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1697 (2016): 20150255. http://dx.doi.org/10.1098/rstb.2015.0255.

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Abstract (sommario):

The first step in binocular stereopsis is to match features on the left retina with the correct features on the right retina, discarding ‘false’ matches. The physiological processing of these signals starts in the primary visual cortex, where the binocular energy model has been a powerful framework for understanding the underlying computation. For this reason, it is often used when thinking about how binocular matching might be performed beyond striate cortex. But this step depends critically on the accuracy of the model, and real V1 neurons show several properties that suggest they may be les

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Richter, David, Dirk van Moorselaar, and Jan Theeuwes. "Distractor suppression in primary visual cortex." Journal of Vision 24, no. 10 (2024): 411. http://dx.doi.org/10.1167/jov.24.10.411.

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Leopold, David A. "Primary Visual Cortex: Awareness and Blindsight." Annual Review of Neuroscience 35, no. 1 (2012): 91–109. http://dx.doi.org/10.1146/annurev-neuro-062111-150356.

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Barone, Pascal. "Is the primary visual cortex multisensory?" Physics of Life Reviews 7, no. 3 (2010): 291–92. http://dx.doi.org/10.1016/j.plrev.2010.07.002.

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Földiák, Peter. "Stimulus optimisation in primary visual cortex." Neurocomputing 38-40 (June 2001): 1217–22. http://dx.doi.org/10.1016/s0925-2312(01)00570-7.

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Li, Wu, Valentin Piëch, and Charles D. Gilbert. "Contour Saliency in Primary Visual Cortex." Neuron 50, no. 6 (2006): 951–62. http://dx.doi.org/10.1016/j.neuron.2006.04.035.

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MacEvoy, S. P., and M. A. Paradiso. "Lightness constancy in primary visual cortex." Proceedings of the National Academy of Sciences 98, no. 15 (2001): 8827–31. http://dx.doi.org/10.1073/pnas.161280398.

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Zipser, Karl, Victor A. F. Lamme, and Peter H. Schiller. "Contextual Modulation in Primary Visual Cortex." Journal of Neuroscience 16, no. 22 (1996): 7376–89. http://dx.doi.org/10.1523/jneurosci.16-22-07376.1996.

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Zayyad, Zaina A., John H. R. Maunsell, and Jason N. MacLean. "Normalization in mouse primary visual cortex." PLOS ONE 18, no. 12 (2023): e0295140. http://dx.doi.org/10.1371/journal.pone.0295140.

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Abstract (sommario):

When multiple stimuli appear together in the receptive field of a visual cortical neuron, the response is typically close to the average of that neuron’s response to each individual stimulus. The departure from a linear sum of each individual response is referred to as normalization. In mammals, normalization has been best characterized in the visual cortex of macaques and cats. Here we study visually evoked normalization in the visual cortex of awake mice using imaging of calcium indicators in large populations of layer 2/3 (L2/3) V1 excitatory neurons and electrophysiological recordings acro

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Beltramo, Riccardo, and Massimo Scanziani. "A collicular visual cortex: Neocortical space for an ancient midbrain visual structure." Science 363, no. 6422 (2019): 64–69. http://dx.doi.org/10.1126/science.aau7052.

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Abstract (sommario):

Visual responses in the cerebral cortex are believed to rely on the geniculate input to the primary visual cortex (V1). Indeed, V1 lesions substantially reduce visual responses throughout the cortex. Visual information enters the cortex also through the superior colliculus (SC), but the function of this input on visual responses in the cortex is less clear. SC lesions affect cortical visual responses less than V1 lesions, and no visual cortical area appears to entirely rely on SC inputs. We show that visual responses in a mouse lateral visual cortical area called the postrhinal cortex are inde

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45

Iacaruso, M. Florencia, Ioana T. Gasler, and Sonja B. Hofer. "Synaptic organization of visual space in primary visual cortex." Nature 547, no. 7664 (2017): 449–52. http://dx.doi.org/10.1038/nature23019.

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46

Tong, F. "Representations of Visual Imagery in Human Primary Visual Cortex." Journal of Vision 4, no. 8 (2004): 46. http://dx.doi.org/10.1167/4.8.46.

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47

Heeger, David J. "The Representation of Visual Stimuli in Primary Visual Cortex." Current Directions in Psychological Science 3, no. 5 (1994): 159–63. http://dx.doi.org/10.1111/1467-8721.ep10770661.

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48

Morris, Adam P., and Bart Krekelberg. "A Stable Visual World in Primate Primary Visual Cortex." Current Biology 29, no. 9 (2019): 1471–80. http://dx.doi.org/10.1016/j.cub.2019.03.069.

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49

van den Hurk, Job, Marc Van Baelen, and Hans P. Op de Beeck. "Development of visual category selectivity in ventral visual cortex does not require visual experience." Proceedings of the National Academy of Sciences 114, no. 22 (2017): E4501—E4510. http://dx.doi.org/10.1073/pnas.1612862114.

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Abstract (sommario):

To what extent does functional brain organization rely on sensory input? Here, we show that for the penultimate visual-processing region, ventral-temporal cortex (VTC), visual experience is not the origin of its fundamental organizational property, category selectivity. In the fMRI study reported here, we presented 14 congenitally blind participants with face-, body-, scene-, and object-related natural sounds and presented 20 healthy controls with both auditory and visual stimuli from these categories. Using macroanatomical alignment, response mapping, and surface-based multivoxel pattern anal

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50

Lee, Hyangsook, Hi-Joon Park, Soon Ae Kim, et al. "Acupuncture Stimulation of the Vision-Related Acupoint (Bl-67) Increases c-Fos Expression in the Visual Cortex of Binocularly Deprived Rat Pups." American Journal of Chinese Medicine 30, no. 02n03 (2002): 379–85. http://dx.doi.org/10.1142/s0192415x02000399.

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Abstract (sommario):

Our previous study with functional magnetic resonance imaging (MRI) demonstrated that acupuncture stimulation of the vision-related acupoint, Bl-67, activates the visual cortex of the human brain. As a further study on the effect of Bl-67 acupuncture stimulation on the visual cortex, we examined c-Fos expression in binocularly deprived rat pups. Binocular deprivation significantly reduced the number of c-Fos-positive cells in the primary visual cortex, compared with that of normal control rat pups. Interestingly, acupuncture stimulation of Bl-67 resulted in a significant increase in the number

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