Extraction of Distinct Neuronal Cell Types from within a Genetically Continuous Population

Kim, Euiseok J.; Zhang, Zhuzhu; Huang, Ling; Ito-Cole, Tony; Jacobs, Matthew W.; Juavinett, Ashley L.; Senturk, Gokhan; Hu, Mo; Ku, Manching; Ecker, Joseph R.; Callaway, Edward M.

doi:10.1016/j.neuron.2020.04.018

Cited by 93 publications

(94 citation statements)

References 36 publications

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“…Our results demonstrate that FB connections selectively and monosynaptically contact neurons that are the source of their FF inputs. This is in contrast with results from mouse V1, where about 80-88% of FF projection neurons project to one or two higher visual areas 19,52 , but only about 50% of their monosynaptic FB contacts arise from the same areas to which they project 19 . Moreover, recent evidence suggests that in mouse a bias to form area-specific monosynaptic excitatory FF-FB loops may be limited to deep layer neurons 20 , while our results in monkey demonstrate area-selective FB-to-FF contacts in both V1 superficial and deep layers.…”

Section: Figure 8 About Herecontrasting

confidence: 98%

“…It is also unclear whether these cortico-cortical loops occur via direct monosynaptic contacts between FF and FB projection neurons, or indirectly via local excitatory or inhibitory neurons, or both. Recent studies have shown that in mouse primary visual cortex (V1), only a fraction of cortical projection neurons form area-specific monosynaptic FF-FB loops 19 , and that these loops may only occur between deep layer neurons 20 . It remains unknown whether similar rules of cortico-cortical connectivity apply to higher mammals.…”

Section: Introductionmentioning

confidence: 99%

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A direct interareal feedback-to-feedforward circuit in primate visual cortex

Siu

Balsor

Federer

et al. 2020

Preprint

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The mammalian sensory neocortex consists of hierarchically organized areas reciprocally connected via feedforward (FF) and feedback (FB) circuits. Several theories of hierarchical computation ascribe the bulk of the computational work of the cortex to looped FF-FB circuits between pairs of cortical areas. However, whether such corticocortical loops exist remains unclear. In higher mammals, FF projections send afferents almost exclusively to a single higher-level area. However, it is unclear whether FB projections show similar area-specificity, and whether they influence FF-projection neurons directly or indirectly. Using viral-mediated monosynaptic circuit tracing in macaque visual cortex, we find that neurons sending FF projections to a higher-level area receive monosynaptic FB inputs exclusively from that area. We also find monosynaptic FB-to-FB neuron contacts as a second motif of FB connectivity. Our results support the existence of FF-FB loops in primate cortex, and suggest that FB can rapidly and selectively influence the activity of incoming FF signals.

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Section: Figure 8 About Herecontrasting

confidence: 98%

Section: Introductionmentioning

confidence: 99%

A direct interareal feedback-to-feedforward circuit in primate visual cortex

Siu

Balsor

Federer

et al. 2020

Preprint

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“…This has led to the proposal for a central and peripheral stream of processing for mouse vision (Saleem, 2020), and the current finding for HVA to V1 feedback projections is consistent with this notion. This view is further supported by recent findings that different HVA projections convey different information to V1 cells (Huh et al, 2018), and that these feedback projections follow a 'liketo-like' rule in their reciprocal connection to V1 cells (Marques et al, 2018;Kim et al, 2020).…”

Section: Functional Implications Of Topographic Organization Of Feedbsupporting

confidence: 70%

“…E) An example visualization of cell body locations on the 3D brain model with cells color-coded by area identity. tuning properties of recipient HVAs (Glickfeld et al, 2013;Huh et al, 2018), and in turn, V1 cells receive a large portion of their feedback inputs from the HVA they project to (Kim et al, 2020). Anatomical tracing of feedforward projections from V1 to HVAs are known to show striking topography (Wang and Burkhalter, 2007).…”

Section: Introductionmentioning

confidence: 99%

Topographic organization of feedback projections to mouse primary visual cortex

Morimoto

Uchishiba

Saleem

2020

Preprint

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Context dependent top-down modulation in visual processing has been a topic of wide interest. Recent findings on context dependent modulation, combined with the tools available to investigate network mechanisms in the mouse, make the mouse primary visual cortex an ideal system to investigate context-dependent modulation. However, the distribution of inputs to V1 from across the brain is still relatively unknown. In this study, we investigate inputs to V1 by injecting cholera toxin B subunit (CTB), a retrograde tracer, across the extent of V1. To identify CTB labelled cell bodies and quantify their distribution across various brain regions, we developed a software pipeline that maps each labelled cell body to its corresponding brain region. We found over fourteen brain regions that provided inputs to V1. Higher visual areas (HVAs) provided the most inputs to V1, followed by the retrosplenial, cingulate, and other sensory cortices. As our injections spanned a range of coordinates along the mediolateral axis of V1, we asked if there was any topographic organisation of inputs to V1: do particular areas project preferentially to specific regions of V1. Based on the distribution of inputs from different HVAs, injection sites broadly clustered into two groups, consistent with a retinotopic separation into sites within the central visual field and the peripheral visual field. Furthermore, the number of cells detected in HVAs was correlated to the azimuthal retinotopic location of each injection site. This topographic organization of feedback projections along the medio-lateral axis of V1 suggests that V1 cells representing peripheral vs central visual fields are differentially modulated by HVAs, which may have an ethological relevance for a navigating animal.

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“…Previous studies showed that L2/3 SSp pyramidal neurons projecting to MOp or SSs have distinct intrinsic and network physiological properties 20,73 . Even though they may not belong to distinct transcriptomic subtypes, it will be interesting to find out if there are gene expression differences that correspond to the differential connectional and physiological properties for these neurons, as did for primary visual cortical neurons projecting differentially to medial or lateral higher visual areas 74 .…”

Section: Discussionmentioning

confidence: 99%

Brain-wide single neuron reconstruction reveals morphological diversity in molecularly defined striatal, thalamic, cortical and claustral neuron types

Peng

Xie

Liu

et al. 2019

Preprint

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32Ever since the seminal findings of Ramon y Cajal, dendritic and axonal morphology has been 33 recognized as a defining feature of neuronal types and their connectivity. Yet our knowledge 34 about the diversity of neuronal morphology, in particular its distant axonal projections, is still 35 extremely limited. To systematically obtain single neuron full morphology on a brain-wide scale 36in mice, we established a pipeline that encompasses five major components: sparse labeling, 37whole-brain imaging, reconstruction, registration, and classification. We achieved sparse, robust 38and consistent fluorescent labeling of a wide range of neuronal types across the mouse brain in 39 an efficient way by combining transgenic or viral Cre delivery with novel transgenic reporter 40 lines, and generated a large set of high-resolution whole-brain fluorescent imaging datasets 41containing thousands of reconstructable neurons using the fluorescence micro-optical sectioning 42 tomography (fMOST) system. We developed a set of software tools based on the visualization 43 and analysis suite, Vaa3D, for large-volume image data processing and computation-assisted 44 morphological reconstruction. In a proof-of-principle case, we reconstructed full morphologies 45 of 96 neurons from the claustrum and cortex that belong to a single transcriptomically-defined 46 neuronal subclass. We developed a data-driven clustering approach to classify them into multiple 47 morphological and projection types, suggesting that these neurons work in a targeted and 48coordinated manner to process cortical information. Imaging data and the new computational 49 reconstruction tools are publicly available to enable community-based efforts towards large-scale 50 full morphology reconstruction of neurons throughout the entire mouse brain. 51 52 53

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Extraction of Distinct Neuronal Cell Types from within a Genetically Continuous Population

Abstract: Highlights d V1 CCPNs display differential gene expression depending on their projections d V1 CCPNs receive feedback inputs from the same areas to which they project d Gene-expression analysis in isolation is insufficient to identify neuron types

Cited by 93 publications

References 36 publications

A direct interareal feedback-to-feedforward circuit in primate visual cortex

A direct interareal feedback-to-feedforward circuit in primate visual cortex

Topographic organization of feedback projections to mouse primary visual cortex

Brain-wide single neuron reconstruction reveals morphological diversity in molecularly defined striatal, thalamic, cortical and claustral neuron types

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