Sensory and Behavioral Components of Neocortical Signal Flow in Discrimination Tasks with Short-Term Memory

Gallero‐Salas, Yasir; Han, Shuting; Sych, Yaroslav; Voigt, Fabian F.; Laurenczy, Balazs; Gilad, Ariel; Helmchen, Fritjof

doi:10.1016/j.neuron.2020.10.017

Cited by 61 publications

(62 citation statements)

References 96 publications

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“…With the rapidly expanding efforts to link large-scale patterned cortical signals with sensory encoding, movement, and task performance 2,8,9,18,36,38 , several distinct strategies have been developed to analyze the spatiotemporal organization of network activity, including singular variable decomposition and non-negative matrix factorization 8,39 . Here, we show that functional parcellation of cortical regions 21 followed by diffusion embedding of time-varying correlations using a Riemannian geometry provides a robust means to quantify dynamic functional connectivity that accurately encodes fluctuations in behavior.…”

Section: Dynamic Functional Connectivity Suggests Distinct Cortical Subnetworkmentioning

confidence: 99%

Rapid fluctuations in functional connectivity of cortical networks encode spontaneous

Benisty

Moberly²,

Lohani³

et al. 2021

Preprint

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Experimental work across a variety of species has demonstrated that spontaneously generated behaviors are robustly coupled to variation in neural activity within the cerebral cortex. Indeed, functional magnetic resonance imaging (fMRI) data suggest that functional connectivity in cortical networks varies across distinct behavioral states, providing for the dynamic reorganization of patterned activity. However, these studies generally lack the temporal resolution to establish links between cortical signals and the continuously varying fluctuations in spontaneous behavior typically observed in awake animals. Here, we took advantage of recent developments in wide-field, mesoscopic calcium imaging to monitor neural activity across the neocortex of awake mice. Applying a novel approach to quantifying time-varying functional connectivity, we show that spontaneous behaviors are more accurately represented by fast changes in the correlational structure versus the magnitude of large-scale network activity. Moreover, dynamic functional connectivity reveals subnetworks that are not predicted by traditional anatomical atlas-based parcellation of the cortex. These results provide insight into how behavioral information is represented across the mammalian neocortex and demonstrate a new analytical framework for investigating time-varying functional connectivity in neural networks.

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Section: Dynamic Functional Connectivity Suggests Distinct Cortical Subnetworkmentioning

confidence: 99%

Rapid fluctuations in functional connectivity of cortical networks encode spontaneous

Benisty

Moberly²,

Lohani³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…To isolate sensory activity, we used an encoding model and found clear responses in sensory, parietal and frontal cortex 40,41,57,58 . Consistent with our clustering results, these functional signals were unique for each PyN type and were either only partially represented in EMX mice or not observed at all.…”

Section: Discussionmentioning

confidence: 99%

Pyramidal cell types drive functionally distinct cortical activity patterns during decision-making

Musall

Sun

Mohan

et al. 2021

Preprint

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To understand how cortical circuits generate complex behavior, it is crucial to investigate the cell types that comprise them. Functional differences across pyramidal neuron (PyN) types have been observed in sensory and frontal cortex, but it is not known whether these differences are the rule across all cortical areas or if different PyN types mostly follow the same cortex-wide dynamics. We used genetic and retrograde labeling to target pyramidal tract (PT), intratelencephalic (IT) and corticostriatal projection neurons and measured their cortex-wide activity. Each PyN type drove unique neural dynamics at a cortex-wide and within-area scale. Cortical activity and optogenetic inactivation during an auditory discrimination task also revealed distinct functional roles: all PyNs in parietal cortex were recruited during sensory stimulation but, surprisingly, PT neurons were most important for perception. In frontal cortex, all PyNs were required for accurate choices but showed distinct choice-tuning. Our results reveal that rich, cell-type-specific cortical dynamics shape perceptual decisions.

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“…This is based on the multisensory nature of PPC and its functional modulation of V1 (Hishida et al, 2018 ). Recent studies demonstrated that PPC is involved in resolving sensory conflict during auditory-visual discrimination tasks (Song et al, 2017 ) and is involved in transferring sensory-specific signals to higher order association areas (Gallero-Salas et al, 2021 ). RL and AM, two HVAs, are considered part of the PPC because they display connectivity patterns similar to other components of the PPC (Gilissen et al, 2021 ).…”

Section: Cross-modal Recruitmentmentioning

confidence: 99%

Cortical and Subcortical Circuits for Cross-Modal Plasticity Induced by Loss of Vision

Ewall

Parkins

Lin

et al. 2021

Front. Neural Circuits

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Cortical areas are highly interconnected both via cortical and subcortical pathways, and primary sensory cortices are not isolated from this general structure. In primary sensory cortical areas, these pre-existing functional connections serve to provide contextual information for sensory processing and can mediate adaptation when a sensory modality is lost. Cross-modal plasticity in broad terms refers to widespread plasticity across the brain in response to losing a sensory modality, and largely involves two distinct changes: cross-modal recruitment and compensatory plasticity. The former involves recruitment of the deprived sensory area, which includes the deprived primary sensory cortex, for processing the remaining senses. Compensatory plasticity refers to plasticity in the remaining sensory areas, including the spared primary sensory cortices, to enhance the processing of its own sensory inputs. Here, we will summarize potential cellular plasticity mechanisms involved in cross-modal recruitment and compensatory plasticity, and review cortical and subcortical circuits to the primary sensory cortices which can mediate cross-modal plasticity upon loss of vision.

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Sensory and Behavioral Components of Neocortical Signal Flow in Discrimination Tasks with Short-Term Memory

Cited by 61 publications

References 96 publications

Rapid fluctuations in functional connectivity of cortical networks encode spontaneous

Rapid fluctuations in functional connectivity of cortical networks encode spontaneous

Pyramidal cell types drive functionally distinct cortical activity patterns during decision-making

Cortical and Subcortical Circuits for Cross-Modal Plasticity Induced by Loss of Vision

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