Separable neuronal contributions to covertly attended locations and movement goals in macaque frontal cortex

Messinger, Adam; Cirillo, Rossella; Wise, Steven P.; Genovesio, Aldo

doi:10.1126/sciadv.abe0716

Cited by 20 publications

(16 citation statements)

References 44 publications

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“…Our results indicated a potential role of frontoparietal regions in the planning of goal-directed actions. Similar two-stage functional segregation of motor processes has been reported in humans (Ariani et al, 2022;Gallivan et al, 2011), monkeys (Messinger et al, 2021) and rodents (Eriksson et al, 2021).…”

Section: Functional Gradient Of Motor Tasks: From Motor Execution To ...supporting

confidence: 80%

Interpretable brain decoding from sensations to cognition to action: graph neural networks reveal the representational hierarchy of human cognition

Zhang

Fan

Jiang

et al. 2022

Preprint

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Inter-subject modeling of cognitive processes has been a challenging task due to large individual variability in brain structure and function. Graph neural networks (GNNs) provide a potential way to project subject-specific neural responses onto a common representational space by effectively combining local and distributed brain activity through connectome-based constraints. Here we provide in-depth interpretations of biologically-constrained GNNs (BGNNs) that reach state-of-the-art performance in several decoding tasks and reveal inter-subject aligned neural representations underpinning cognitive processes. Specifically, the model not only segregates brain responses at different stages of cognitive tasks, e.g. motor preparation and motor execution, but also uncovers functional gradients in neural representations, e.g. a gradual progression of visual working memory (VWM) from sensory processing to cognitive control and towards behavioral abstraction. Moreover, the multilevel representations of VWM exhibit better inter-subject alignment in brain responses, higher decoding of cognitive states, and strong phenotypic and genetic correlations with individual behavioral performance. Our work demonstrates that biologically constrained deep-learning models have the potential towards both cognitive and biological fidelity in cognitive modeling, and open new avenues to interpretable functional gradients of brain cognition in a wide range of cognitive neuroscience questions.

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Section: Functional Gradient Of Motor Tasks: From Motor Execution To ...supporting

confidence: 80%

Interpretable brain decoding from sensations to cognition to action: graph neural networks reveal the representational hierarchy of human cognition

Zhang

Fan

Jiang

et al. 2022

Preprint

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show abstract

“…However, covert and presaccadic attention differentially modulate visual perception and the representation of features of basic visual dimensions, such as orientation and spatial frequency ( Collins et al., 2010 ; Li et al., 2016 , 2019 ; Ohl et al., 2017 ). They engage different neural computations –contrast gain and response gain ( Li et al., 2021b )– and recruit partially distinct neural populations in frontal eye fields (FEFs) and superior colliculus (SC) that control covert attention and saccade preparation in human and non-human primates (e.g., Ignashchenkova et al., 2004 ; Gregoriou et al., 2012 ; Messinger et al., 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Presaccadic attention enhances contrast sensitivity, but not at the upper vertical meridian

2022

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“…However, covert and presaccadic attention differentially modulate visual perception and the representation of features of basic visual dimensions, such as orientation and spatial frequency (Collins et al, 2010;Li et al, 2016;Ohl et al, 2017). They engage different neural computations -contrast gain and response gain (Li et al, 2021b)-and recruit partially distinct neural populations in frontal eye fields (FEF) and superior colliculus (SC) that control covert attention and saccade preparation in human and nonhuman primates (e.g., Ignashchenkova et al, 2004;Gregoriou et al, 2012;Messinger et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Presaccadic attention enhances contrast sensitivity, but not at the upper vertical meridian

Hanning

Himmelberg

Carrasco

2021

Preprint

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Human visual performance is not only better at the fovea and decreases with eccentricity, but also has striking radial asymmetries around the visual field: At a fixed eccentricity, it is better along (1) the horizontal than vertical meridian and (2) the lower than upper vertical meridian. These asymmetries, known as performance fields, are pervasive -they emerge for many visual dimensions, regardless of head rotation, stimulus orientation or display luminance- and resilient -they are not alleviated by covert exogenous or endogenous attention, deployed in the absence of eye movements. Performance fields have been studied exclusively during eye fixation. However, a major driver of everyday attentional orienting is saccade preparation, during which visual attention automatically shifts to the future eye fixation. This presaccadic shift of attention is considered strong and compulsory, and relies on fundamentally different neural computations and substrates than covert attention. Given these differences, we investigated whether presaccadic attention can compensate for the ubiquitous performance asymmetries observed during eye fixation. Our data replicate polar performance asymmetries during fixation and document the same asymmetries during saccade preparation. Crucially, however, presaccadic attention enhanced contrast sensitivity at the horizontal and lower vertical meridian, but not at the upper vertical meridian. Thus, instead of attenuating polar performance asymmetries, presaccadic attention exacerbates them.

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Separable neuronal contributions to covertly attended locations and movement goals in macaque frontal cortex

Cited by 20 publications

References 44 publications

Interpretable brain decoding from sensations to cognition to action: graph neural networks reveal the representational hierarchy of human cognition

Interpretable brain decoding from sensations to cognition to action: graph neural networks reveal the representational hierarchy of human cognition

Presaccadic attention enhances contrast sensitivity, but not at the upper vertical meridian

Presaccadic attention enhances contrast sensitivity, but not at the upper vertical meridian

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