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Goueytes, D.

Publications and source records attributed to Goueytes, D..

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Supramodal Coding of Detection and Confidence in the Human Cortex

Perception is inherently multisensory, yet it remains unclear whether the brain detects stimuli and evaluates confidence in these detections using circuits shared across senses or circuits specific to each modality. Prior evidence is limited: scalp electrophysiology cannot localize where a shared code operates, whereas functional imaging cannot resolve its timing. We recorded intracranial activity (stereoelectroencephalography) in eight patients with epilepsy who performed a near-threshold audiovisual detection task in which they reported, on each trial, whether a visual, auditory, or audiovisual stimulus was present and rated their confidence, both overall and separately for each modality. Analyzing high-gamma activity at the single-channel and region-of-interest levels, we found that stimulus detection involved a broadly distributed, largely supramodal set of cortical regions responding regardless of modality, including the insula, dorsomedial prefrontal cortex, and superior temporal gyrus. Multivariate decoders trained to distinguish detected from undetected stimuli in one modality generalized to the other modality, indicating a shared detection code within these regions. Confidence relied on a more mixed architecture but was also substantially supramodal. Finally, the auditory cortex encoded confidence information about its non-preferred (visual) modality, with a similar effect in the visual cortex for auditory confidence, suggesting that the involvement of sensory cortices in confidence is not confined to its preferred input.

neuroscience↗

A functional overlap between evidence accumulation, confidence, and changes of mind in the pre-supplementary motor area and insula

Evidence accumulation models have proven to be powerful tools to explain the temporal dynamics of decisions, as well as their metacognitive components such as confidence judgments and changes of mind. However, it is still unclear how and where in the brain evidence accumulation leads to these two metacognitive components. To better understand the functional overlap between evidence accumulation, confidence, and changes of mind, we recorded intracranial high-gamma activity in patients with focal epilepsy while they reported the motion direction of a random dot kinetogram with a computer mouse, and estimated their confidence level. We found an anatomical overlap between the neural correlates of evidence accumulation, confidence, and changes of mind in the pre-supplementary motor area, as well as in the orbitofrontal, inferior frontal, and insular cortices. Both mouse-tracking behaviour and electrophysiological results were reproduced with a post-decisional evidence accumulation model. After characterising the temporal dynamics of decision-making with mouse-tracking and intracranial electrophysiology, we conclude that confidence and changes of mind result from evidence accumulation instantiated before the decision in the pre-supplementary motor area, and after the decision in the insula.

neuroscience↗

Cortical evidence accumulation for perceptual experience occurs irrespective of reports

Perceptual experience is a multi-faceted, dynamical process, tackled empirically through measures of stimulus detectability and confidence. To assess if stimulus detection and confidence can be explained by evidence accumulation, a form of sequential sampling of sensory evidence, we analyzed high-gamma activity from stereo-electroencephalographic data of 29 participants partaking in 3 pre-registered experiments. In an immediate-response experiment, individual channels and decoded multivariate latent variables in the visual, inferior frontal, and anterior insular cortices displayed functional markers of evidence accumulation. In two further experiments, this signal in the ventral visual cortex differentiated between (1) seen and unseen stimuli in delayed detection, (2) high and low intensity stimuli during passive viewing, and (3) levels of confidence when stimuli were seen. A computational model of leaky evidence accumulation successfully reproduced both behavioral and neural data. Overall, these results indicate that evidence accumulation explains key aspects of perceptual experience, encompassing both conscious access and monitoring.

neuroscience↗

Continuity within somatosensory cortical map shapes the integration of optogenetic input

The topographic organization of sensory cortices is a prominent feature, but its functional role remains unclear. Particularly, how activity is integrated within a cortical area depending on its topography is unknown. Here, we trained mice expressing channelrhodopsin in cortical excitatory neurons to track a bar photostimulation that rotated smoothly over the primary somatosensory cortex (S1). When photostimulation was aimed at vS1, the area which contains a contiguous representation of the whisker array at the periphery, mice could learn to discriminate angular positions of the bar to obtain a reward. In contrast, they could not learn the task when the photostimulation was aimed at the representation of the trunk and legs in S1, where neighboring zones represent distant peripheral body parts, introducing discontinuities. Mice demonstrated anticipation of reward availability, specifically when cortical topography enabled to predict future sensory activation. These results are particularly helpful for designing efficient cortical sensory neuroprostheses. TeaserOptogenetic stimulation sweeping the cortical surface: A way to provide precise sensory information and guide behaviour.

neuroscience↗

Sensorimotor neuronal learning requires cortical topography

Neuroprosthetics offer great hope for motor-impaired patients. One obstacle is that fine motor control requires near-instantaneous, rich somatosensory feedback. Such distributed feedback may be recreated in a brain-machine interface using distributed artificial stimulation across the cortical surface. Here, we hypothesized that neuronal stimulation must be contiguous in its spatiotemporal dynamics in order to be efficiently integrated by sensorimotor circuits. Using a closed-loop brain-machine interface, we trained head-fixed mice to control a virtual cursor by modulating the activity of motor cortex neurons. We provided artificial feedback in real time with distributed optogenetic stimulation patterns in the primary somatosensory cortex. Mice developed a specific motor strategy and succeeded to learn the task only when the optogenetic feedback pattern was spatially and temporally contiguous while it moved across the topography of the somatosensory cortex. These results reveal new properties of sensorimotor cortical integration and set new constraints on the design of neuroprosthetics. TeaserTargeting a brain-machine interface feedback to a cortical map reveals unexpected constraints.

neuroscience↗