Population receptive fields in non-human primates from whole-brain fMRI and large-scale neurophysiology in visual cortex

Klink, P. Christiaan; Chen, Xing; Vanduffel, Wim; Roelfsema, Pieter R.

doi:10.1101/2020.09.05.284133

Cited by 5 publications

(3 citation statements)

References 201 publications

(423 reference statements)

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“…Previous studies employing electrophysiological recordings in humans and animals have shown specific neural correlates of pRF suppression and compression ( 30 , 40 , 41 ). Hence, it seems to us at least plausible that the modulatory action of activation and normalization constants could reflect not only a computational, but also a biological, property of brain responses.…”

Section: Discussionmentioning

confidence: 99%

Divisive normalization unifies disparate response signatures throughout the human visual hierarchy

Aqil

Knapen

Dumoulin

2021

Proc. Natl. Acad. Sci. U.S.A.

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Neural processing is hypothesized to apply the same mathematical operations in a variety of contexts, implementing so-called canonical neural computations. Divisive normalization (DN) is considered a prime candidate for a canonical computation. Here, we propose a population receptive field (pRF) model based on DN and evaluate it using ultra-high-field functional MRI (fMRI). The DN model parsimoniously captures seemingly disparate response signatures with a single computation, superseding existing pRF models in both performance and biological plausibility. We observe systematic variations in specific DN model parameters across the visual hierarchy and show how they relate to differences in response modulation and visuospatial information integration. The DN model delivers a unifying framework for visuospatial responses throughout the human visual hierarchy and provides insights into its underlying information-encoding computations. These findings extend the role of DN as a canonical computation to neuronal populations throughout the human visual hierarchy.

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Section: Discussionmentioning

confidence: 99%

Divisive normalization unifies disparate response signatures throughout the human visual hierarchy

Aqil

Knapen

Dumoulin

2021

Proc. Natl. Acad. Sci. U.S.A.

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“…Sensory stimulation leads to reliable positive and negative fMRI BOLD responses (PBRs and NBRs) during topographical mapping (Allison et al, 2000;Fracasso et al, 2018;Harel et al, 2002;Klink et al, 2020). NBRs can occur next to PBRs in the visual cortex and have been shown to correlate with electrophysiologically-measured neuronal inhibition (Huang et al, 1996;Shmuel et al, 2006Shmuel et al, , 2002.…”

Section: Suppressed or Negative Imaging Signalsmentioning

confidence: 99%

Combining Brain Perturbation and Neuroimaging in Non-human Primates

Klink¹,

jean-francois.aubry@espci.fr²,

Ferrera³

et al. 2020

Preprint

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Brain perturbation studies allow detailed causal inferences of behavioral and neural processes. Because the combination of brain perturbation methods and neural measurement techniques is inherently challenging, research in humans has predominantly focused on non-invasive, indirect brain perturbations, or neurological lesions. Non-human primates have been indispensable as a neurobiological system that is highly similar to humans while simultaneously being more experimentally tractable, allowing visualization of the functional and structural impact of systematic brain perturbation. This review considers the state-of-the-art in non-human primate brain perturbation with a focus on approaches that can be combined with neuroimaging. We consider both non-reversible (lesions) and reversible or temporary perturbations such as electrical, pharmacological, optical, optogenetic, chemogenetic, pathway-selective, and ultrasound based interference methods. Method-specific considerations from the research and development community are offered to facilitate research in this field and support further innovations. We conclude by identifying novel avenues for further research and innovation and by highlighting the clinical translational potential of the methods.

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“…These processes frequently encompass regions in the visual field (VF) spanning distances bigger than pRF sizes in V1. Thus, perceptual organization needs information integration across sizeable visual field sectors, usually thought to be achieved in higher-order visual areas with larger RFs (Klink et al, 2021; Wandell & Winawer, 2015).…”

Section: Introductionmentioning

confidence: 99%

Co-fluctuations of neural activity define intra-V1 networks related to perceptual organization

Valdés-Sosa

Ontivero-Ortega

Iglesias-Fuster

et al. 2022

Preprint

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Using functional resonance imaging (fMRI), we studied the relationship between perceptual organization and network topology within the primary visual cortex (V1). Twenty-six humans (male and female) were recorded during active observation of two Global and Local Navon letters. Correlations between fMRI fluctuations from different V1 sites were measured (after removing stimulus-evoked signals) in windows specific to each condition. Intra-V1, like brain-wide networks, presented an overall decrease of correlations during stimulation compared to baseline but with increased statistical dimensionality. Massive edgewise testing and network based-statistics (both corrected by FDR) identified differences in connection strengths between stimuli that were mapped to the visual field. Global letters elicited long links mainly connecting V1 sites mapping the lower left/right visual quadrants. Shorter links were associated with local letters, primarily mapped within the lower-left visual quadrant. These connections were not observed in the time-locked (feedforward) responses shared across participants, and their lengths exceeded V1 population receptive field sizes. Thus, these networks reflect activity idiosyncratic to each participant, possibly generated by interactions within or feedback to V1. Perception would sculpt V1 connectivity, with specific increases in link strengths (in a background of decreases). These findings could help shed light on V1 as a "cognitive blackboard".

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Population receptive fields in non-human primates from whole-brain fMRI and large-scale neurophysiology in visual cortex

Cited by 5 publications

References 201 publications

Divisive normalization unifies disparate response signatures throughout the human visual hierarchy

Divisive normalization unifies disparate response signatures throughout the human visual hierarchy

Combining Brain Perturbation and Neuroimaging in Non-human Primates

Co-fluctuations of neural activity define intra-V1 networks related to perceptual organization

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