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Soyuhos, O.

Publications and source records attributed to Soyuhos, O..

4 recordsLinked to original sources

Meaning-based guidance of attention in rhesus monkeys during naturalistic scene viewing

In humans and other primates, high-acuity vision is restricted to the fovea, requiring frequent saccadic eye movements to sample visual information, a process known as overt attention. Classical visual salience theory explains how low-level image features guide these movements, but recent human studies have shown that overt attention is also strongly guided by scene meaning--the spatial distribution of semantic informativeness. Whether this form of attentional guidance is uniquely human or shared across primate vision remains unknown. Here, we addressed this question by recording eye movements from two rhesus macaques freely viewing naturalistic indoor scenes. Fixation selection was modeled using meaning maps alongside image-based salience maps and center proximity. In both monkeys, meaning robustly predicted fixation selection after controlling for visual salience and center bias. Moreover, high-meaning regions captured attention independently of visual salience, whereas salience played an increasingly important role as meaning decreased. While this prioritization of meaningful regions remained robust across environments, familiarity broadened visual exploration by increasing the likelihood of fixating less meaningful areas. Finally, the influence of meaning on fixation selection strengthened with attentional engagement. These findings suggest that meaning-based attention is an evolutionarily conserved component of primate vision and establish a behavioral foundation for investigating its neural mechanisms.

animal behavior and cognition↗

Distinct resting-state connectomes for face and scene perception predict individual task performance

Face and scene perception rely on distinct neural networks centered on the Fusiform Face Area (FFA) and Parahippocampal Place Area (PPA). However, how these regions interact with broader brain networks remains unclear. Using resting-state fMRI and MEG data, we mapped the spatial and frequency-specific functional connectivity of the FFA and PPA. We found that the FFA showed predominant fMRI connectivity with lateral occipitotemporal, inferior temporal, and temporoparietal regions, while the PPA connected more strongly with ventral medial visual, posterior cingulate, and entorhinal-perirhinal areas. MEG analyses further revealed this network segregation was reflected in beta and gamma bands. Importantly, connectome-based predictive modeling showed that the strength of these intrinsic fMRI connectivity patterns predicted individual reaction times on corresponding face and scene perception tasks. Our findings demonstrate that the FFA and PPA anchor distinct intrinsic networks with unique spatio-temporal profiles that provide a functional architecture supporting their specialized roles in face and scene perception.

neuroscience↗

Posterior Parietal Cortex Regulates Intrinsic Neural Timescales and Attentional Processing in Frontal Eye Field

Intrinsic neural timescales quantify how long spontaneous neuronal activity patterns persist, reflecting dynamics of endogenous fluctuations. We measured intrinsic timescales of frontal eye field (FEF) neurons and examined their changes during posterior parietal cortex (PPC) inactivation. We observed two distinct classes of FEF neurons based on their intrinsic timescales: short-timescale neurons ([~]25 ms) or long-timescale neurons ([~]100 ms). Short-timescale neurons showed stronger transient visual responses, suggesting their role in rapid visual processing, whereas long-timescale neurons exhibited pronounced sustained attentional modulation, suggesting their role in maintaining stimulus-driven attention. During PPC inactivation, intrinsic timescales increased in both neuron types, with a significantly larger effect in short-timescale neurons. In addition, PPC inactivation reduced attentional modulation, particularly in long-timescale neurons. Our findings provide the first causal evidence linking intrinsic local neural timescales to long-range inter-area communications. These findings also suggest the presence of at least two distinct network motifs that support different neuronal dynamics and functional computations within the FEF.

neuroscience↗

Functional connectivity fingerprints of the frontal eye fields and inferior frontal junction in the dorsal vs. ventral prefrontal cortex

Neuroimaging evidence suggests that the frontal eye field (FEF) and inferior frontal junction (IFJ) govern the encoding of spatial and non-spatial (such as feature- or object-based) representations, respectively, both during visual attention and working memory tasks. However, it is still unclear whether such contrasting functional segregation is also reflected in their underlying functional connectivity patterns. Here, we hypothesized that FEF has predominant functional coupling with spatiotopically organized regions in the dorsal ( where) visual stream, whereas IFJ has predominant functional connectivity with the ventral ( what) visual stream. We applied seed-based functional connectivity analyses to temporally high-resolving resting-state magnetoencephalography (MEG) recordings. We parcellated the brain according to the multimodal Glasser atlas and tested, for various frequency bands, whether the spontaneous activity of each parcel in the ventral and dorsal visual pathway has predominant functional connectivity with FEF or IFJ. The results show that FEF has a robust power correlation with the dorsal visual pathway in beta and gamma bands. In contrast, anterior IFJ (IFJa) has a strong power coupling with the ventral visual stream in delta, beta, and gamma oscillations. Moreover, while FEF is directly phase-coupled with the superior parietal lobe in the beta band, IFJa is directly phase-coupled with the middle and inferior temporal cortex in delta and gamma oscillations. We argue that these intrinsic connectivity fingerprints are congruent with each brain regions function. Therefore, we conclude that FEF and IFJ have dissociable connectivity patterns that fit their respective functional roles in spatial vs. non-spatial top-down attention and working memory control.

neuroscience↗