Multisensory integration in the mouse cortical connectome using a                     network diffusion model

Shadi, Kamal; Dyer, Eva L.; Dovrolis, Constantine

doi:10.1162/netn_a_00164

Cited by 12 publications

(8 citation statements)

References 66 publications

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“…The model is deliberately kept simple as we lack detailed knowledge on the physiology (e.g., neurotransmitter) of the neurons involved. Such networks have been recently used successfully in the mouse to model sensory impact on activity in higher brain centers of the thalamus ( Shadi et al, 2020 ). Our model predicts the impact of specific sensory origins onto each RPN group ( Figure 3E ; for parameterization and connection types in the model, see Figure 3—figure supplements 3 – 5 ; adjacency matrix for all neurons used in this study in Figure 3—figure supplement 6 ).…”

Section: Resultsmentioning

confidence: 99%

Unveiling the sensory and interneuronal pathways of the neuroendocrine connectome in Drosophila

Hückesfeld

Schlegel

Miroschnikow

et al. 2021

eLife

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Neuroendocrine systems in animals maintain organismal homeostasis and regulate stress response. Although a great deal of work has been done on the neuropeptides and hormones that are released and act on target organs in the periphery, the synaptic inputs onto these neuroendocrine outputs in the brain are less well understood. Here, we use the transmission electron microscopy reconstruction of a whole central nervous system in the Drosophila larva to elucidate the sensory pathways and the interneurons that provide synaptic input to the neurosecretory cells projecting to the endocrine organs. Predicted by network modeling, we also identify a new carbon dioxide-responsive network that acts on a specific set of neurosecretory cells and that includes those expressing corazonin (Crz) and diuretic hormone 44 (Dh44) neuropeptides. Our analysis reveals a neuronal network architecture for combinatorial action based on sensory and interneuronal pathways that converge onto distinct combinations of neuroendocrine outputs.

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Section: Resultsmentioning

confidence: 99%

Unveiling the sensory and interneuronal pathways of the neuroendocrine connectome in Drosophila

Hückesfeld

Schlegel

Miroschnikow

et al. 2021

eLife

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“…Thinking of cognition, and in particular, decision making, the prefrontal cortex (PFC) might be the most obvious player coming into the equation. Various recent studies investigated PFC activity during active decision making in the mouse (Bicks et al, 2015 ; Vertechi et al, 2020 ; Posner et al, 2022 ) and rat (Kurikawa et al, 2018 ; Verharen et al, 2020 ) describing multi-modal processing capacities (Bizley et al, 2016 ; Shadi et al, 2020 ; Coen et al, 2021 ; Zheng et al, 2021 ) and implications during social cognition (Yizhar et al, 2011 ; Kumar et al, 2014 ; Felix-Ortiz et al, 2016 ; Murugan et al, 2017 ; Levy et al, 2019 ; Mague et al, 2020 ). More particular, multiple studies point to a prominent role of PFC during opposite-sex choice and social approach behavior (Nakajima et al, 2014 ; Kim et al, 2015 ; Lee et al, 2016 ; Jennings et al, 2019 ; Levy et al, 2019 ; Kingsbury et al, 2020 ).…”

Section: Neural Circuits For Auditory and Somatosensation In The Cont...mentioning

confidence: 99%

Hearing, touching, and multisensory integration during mate choice

Lenschow

Mendes

Lima

2022

Front. Neural Circuits

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Mate choice is a potent generator of diversity and a fundamental pillar for sexual selection and evolution. Mate choice is a multistage affair, where complex sensory information and elaborate actions are used to identify, scrutinize, and evaluate potential mating partners. While widely accepted that communication during mate assessment relies on multimodal cues, most studies investigating the mechanisms controlling this fundamental behavior have restricted their focus to the dominant sensory modality used by the species under examination, such as vision in humans and smell in rodents. However, despite their undeniable importance for the initial recognition, attraction, and approach towards a potential mate, other modalities gain relevance as the interaction progresses, amongst which are touch and audition. In this review, we will: (1) focus on recent findings of how touch and audition can contribute to the evaluation and choice of mating partners, and (2) outline our current knowledge regarding the neuronal circuits processing touch and audition (amongst others) in the context of mate choice and ask (3) how these neural circuits are connected to areas that have been studied in the light of multisensory integration.

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“…Activation cascades, represented in the form of directed acyclic graphs (DAGs), describe how an activation starting from one region (i.e., source node) propagates to the rest of the brain, activating other brain regions along the way. Previous work has applied the Asynchronous Linear Threshold (ALT) model on the mouse meso-scale connectome to simulate the propagation and integration of sensory signals through activation cascades [21]. Those modeling results were validated with functional data from cortical voltage-sensitive dye imaging, showing that the order of node activations in the model matches quite well with the empirical activation order observed experimentally [21].…”

Section: Introductionmentioning

confidence: 73%

“…Previous work has applied the Asynchronous Linear Threshold (ALT) model on the mouse meso-scale connectome to simulate the propagation and integration of sensory signals through activation cascades [21]. Those modeling results were validated with functional data from cortical voltage-sensitive dye imaging, showing that the order of node activations in the model matches quite well with the empirical activation order observed experimentally [21].…”

Section: Introductionmentioning

confidence: 73%

Root-Cause Analysis of Activation Cascade Differences in Brain Networks

Yao¹,

Chandrasekaran²,

Dovrolis³

2022

Preprint

Self Cite

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Diffusion MRI imaging and tractography algorithms have enabled the mapping of the macro-scale connectome of the entire brain. At the functional level, probably the simplest way to study the dynamics of macro-scale brain activity is to compute the "activation cascade" that follows the artificial stimulation of a source region. Such cascades can be computed using the Linear Threshold model on a weighted graph representation of the connectome. The question we focus on is: if we are given such activation cascades for two groups, say A and B (e.g. Controls versus a mental disorder), what is the smallest set of brain connectivity (graph edge weight) changes that are sufficient to explain the observed differences in the activation cascades between the two groups?We have developed and computationally validated an efficient algorithm, TRACED, to solve the previous problem. We argue that this approach to compare the connectomes of two groups, based on activation cascades, is more insightful than simply identifying "static" network differences (such as edges with large weight or centrality differences). We have also applied the proposed method in the comparison between a Major Depressive Disorder (MDD) group versus healthy controls and briefly report the resulting set of connections that cause most of the observed cascade differences.

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Multisensory integration in the mouse cortical connectome using a network diffusion model

Cited by 12 publications

References 66 publications

Unveiling the sensory and interneuronal pathways of the neuroendocrine connectome in Drosophila

Unveiling the sensory and interneuronal pathways of the neuroendocrine connectome in Drosophila

Hearing, touching, and multisensory integration during mate choice

Root-Cause Analysis of Activation Cascade Differences in Brain Networks

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