Distinct recruitment of feedforward and recurrent pathways across higher-order areas of mouse visual cortex

Li, Jennifer Y.; Hass, Charles A.; Matthews, Ian; Kristl, Amy C.; Glickfeld, Lindsey L.

doi:10.1016/j.cub.2021.09.042

Cited by 6 publications

(4 citation statements)

References 97 publications

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“…Calcium events in PM cell bodies were significantly more correlated with events in neighboring PM cell bodies than to those in either corticocortical or thalamocortical axons (Figure 4E,F), potentially reflecting strong levels of recurrent connectivity within PM (Li et al, 2021). Together, these results support a modulatory role for LP inputs to PM and a stronger driving role for shortand long-range corticocortical inputs.…”

mentioning

confidence: 66%

“…Indeed, functional interactions between LP→PM axons and PM cell bodies were comparable with those between LP→V1 axons and V1 cell bodies, a canonical modulatory pathway (Figure S6) (Miller-Hansen and Sherman, 2022; Roth et al, 2016). Calcium events in PM cell bodies were significantly more correlated with events in neighboring PM cell bodies than to those in either corticocortical or thalamocortical axons (Figure 4E,F), potentially reflecting strong levels of recurrent connectivity within PM (Li et al, 2021). Together, these results support a modulatory role for LP inputs to PM and a stronger driving role for short-and long-range corticocortical inputs.…”

Section: Resultsmentioning

confidence: 98%

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Transthalamic input to higher-order cortex selectively conveys state information

Neske,

Cardin

2023

Preprint

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SUMMARYCommunication among different neocortical areas is largely thought to be mediated by long-range synaptic interactions between cortical neurons, with the thalamus providing only an initial relay of information from the sensory periphery. Higher-order thalamic nuclei receive strong synaptic inputs from the cortex and send robust projections back to other cortical areas, providing a distinct and potentially critical route for cortico-cortical communication. However, the relative contributions of corticocortical and thalamocortical inputs to higher-order cortical function remain unclear. Using imaging of cortical neurons and projection axon terminals in combination with optogenetic manipulations, we find that the higher-order visual thalamus of mice conveys a specialized stream of information to higher-order visual cortex. Whereas corticocortical projections from lower cortical areas convey robust visual information, higher-order thalamocortical projections convey strong behavioral state information. Together, these findings suggest a key role for higher-order thalamus in providing contextual signals that flexibly modulate sensory processing in higher-order cortex.

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mentioning

confidence: 66%

Section: Resultsmentioning

confidence: 98%

Transthalamic input to higher-order cortex selectively conveys state information

Neske,

Cardin

2023

Preprint

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“…In other words, parameters 𝑆, 𝐸 𝐿,𝑖 , 𝐸 𝐿,𝑒 and 𝑇 are fixed and one observes how 𝐹 𝐶 and 𝑐𝑜𝑟𝑟𝐹 𝐶𝑆𝐶 vary when increasing 𝑏 𝑒 from 0 to The behavior of the hyperpolarized region is considerably different (see Figure 14 in the Supplementary Information). In the hyperpolarized region, for 𝑇 = 19 ms, blue and green 𝑐𝑜𝑟𝑟𝐹 𝐶𝑆𝐶(𝑏 𝑒 ) points, whose centroids start at a coupling on inhibitory populations with respect to excitatory populations [26], to compensate for the imbalance between excitation over inhibition that causes the pathological activity. This asymmetry could be further investigated to relate values of 𝐸 𝐿,𝑒 and 𝐸 𝐿,𝑖 to experimental findings of resting membrane potentials in different areas of the cortex.…”

Section: Relationship Between Fc and Scmentioning

confidence: 99%

“…It has also been shown that its elements remain correlated when falling asleep. It is also believed that it is strongly tied to anatomical pathways [25,26,27]. For these reasons, since one of the strengths of the model is its anatomically informed connectivity, correlations between regions associated to the DMN were studied.…”

Section: Ratio Top Z-score Of Dmnmentioning

confidence: 99%

High-density exploration of activity states in a multi-area brain model

Aquilué-Llorens,

Goldman,

Destexhe

2023

Preprint

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Biophysically-grounded whole-brain models were built recently using tractography data to interconnect multiple mesoscopic models, which can simulate the dynamics of neuronal populations with only a few equations. Mean-field models of neural populations, specifically the Adapting AdEx meanfield, was used for this purpose because it can integrate key biophysical mechanisms such as spike-frequency adaptation and its regulation at cellular scales, to the emergence of brain-scale dynamics. Using this approach, with the Virtual Brain (TVB) environment, it has been possible to model the macroscopic transitions between brain states, described by variation in brain-scale dynamics between asynchronous and rapid dynamics during conscious brain states, and synchronized slow-waves, with Up-and-Down state dynamics during unconscious brain states, emerging from mechanisms at the cellular level. Transitions between brain states are driven by changes in neuromodulation that can be due to intrinsic regulation during sleep-wake cycles or extrinsic factors such as anesthetics, which, in turn, affect spike-frequency adaptation. Here, we perform a dense grid parameter exploration of the TVB-AdEx model, making use of High Performance Computing, to thoroughly explore the properties of this model. We find that there is a remarkable robustness of the effect of adaptation to induce synchronized slow-wave activity. Moreover, the occurrence of slow waves is often paralleled with a closer relation between functional and structural connectivity.We find that hyperpolarization can also generate unconscious-like synchronized Up and Down states, which may be a mechanism underlying the action of anesthetics. We conclude that the parameter space of the TVB-AdEx model reveals features identified experimentally in sleep and anesthesia.

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Diversity in spatial frequency, temporal frequency, and speed tuning across mouse visual cortical areas and layers

Wang

Dey

Lagos

et al. 2022

J of Comparative Neurology

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The mouse visual system consists of several visual cortical areas thought to be specialized for different visual features and/or tasks. Previous studies have revealed differences between primary visual cortex (V1) and other higher visual areas, namely, anterolateral (AL) and posteromedial (PM), and their tuning preferences for spatial and temporal frequency. However, these differences have primarily been characterized using methods that are biased toward superficial layers of cortex, such as two‐photon calcium imaging. Fewer studies have investigated cell types in deeper layers of these areas and their tuning preferences. Because superficial versus deep‐layer neurons and different types of deep‐layer neurons are known to have different feedforward and feedback inputs and outputs, comparing the tuning preferences of these groups is important for understanding cortical visual information processing. In this study, we used extracellular electrophysiology and two‐photon calcium imaging targeted toward two different layer 5 cell classes to characterize their tuning properties in V1, AL, and PM. We find that deep‐layer neurons, similar to superficial layer neurons, are also specialized for different spatial and temporal frequencies, with the strongest differences between AL and V1, and AL and PM, but not V1 and PM. However, we note that the deep‐layer neuron populations preferred a larger range of SFs and TFs compared to previous studies. We also find that extratelencephalically projecting layer 5 neurons are more direction selective than intratelencephalically projecting layer 5 neurons.

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Distinct recruitment of feedforward and recurrent pathways across higher-order areas of mouse visual cortex

Abstract: Highlights d Higher visual areas (HVAs) in the mouse have distinct anatomy and physiology d V1 inputs to lateral areas excite interneurons more strongly than in medial areas d This different input is balanced by stronger recurrent connectivity in medial areas

Cited by 6 publications

References 97 publications

Transthalamic input to higher-order cortex selectively conveys state information

Transthalamic input to higher-order cortex selectively conveys state information

High-density exploration of activity states in a multi-area brain model

Diversity in spatial frequency, temporal frequency, and speed tuning across mouse visual cortical areas and layers

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