Neural Networks of the Mouse Neocortex — TEI-tagged view

Zingg, Hintiryan, Gou, Song, Bay, Bienkowski, Foster, Yamashita · 2014 · neuroscience · doi:10.1016/j.cell.2014.02.023 · full text at the source · TEI xml · tagged edition · index · concepts · authors
Where this record's text came from. faceted 2026-08 by reading the locally held text (xml); every evidence string verified as an exact substring of that text before merging. The underlying technique is anterograde/retrograde tract tracing in mice, which the method vocabulary cannot express; 'system-or-tool-building' was chosen because the paper's stated deliverable is a resource (the iConnectome atlas, matrices and interactive cortical map). Claim type is 'existence' for the subnetwork organisation finding rather than 'method' for the resource, since the abstract's headline is the discovered eight-subnetwork architecture. The paper reports internal cross-validation (89% agreement between anterograde and retrograde labelling) but no external replication, so replication status stays untested. 2026-08-12, 2026-08-15 and 2026-08-25 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
Other fields define these differently the same word, defined another way in another discipline
clustering 3 fields
Tags on this paper every tag the record carries, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
connectome2 cortical connectivity atlas subnetworks connectivity matrices double co-injection anterograde retrograde hubs4 clustering algorithm somatic sensorimotor medial lateral claustrum lateral entorhinal area prefrontal cortex9 cross-modal modulation laminar specificity meso-connectome iConnectome semi-quantitative2 trisynaptic circuit system-or-tool-building173

Our tag layer for this paper

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenoncortico-cortical connectivity of the mouse neocortex— “For the cerebral cortex, a brain structure involved in regulating cognition, motivation, and emotion, it remains largely unclear how different areas across the entire structure communicate at the network level to guide its complex functions.”
claim-typeexistence— “The connectivity matrices and cortical map revealed that the entire cortex is organized into four somatic sensorimotor, two medial, and two lateral subnetworks that display unique topologies and can interact through select cortical areas.”
method — evidence— “We generated a cortical connectivity atlas, which accommodates over 600 labeled neural pathways from tracer injections applied across the entire neocortex.”
object of study — evidence— “Numerous studies have examined the neuronal inputs and/or outputs of many areas of the brain cortex, but how these areas organize into broader communication networks across the cortex is unclear.”
research question — evidence— “For the cerebral cortex, a brain structure involved in regulating cognition, motivation, and emotion, it remains largely unclear how different areas across the entire structure communicate at the network level to guide its complex functions.”
contribution — evidence— “The connectivity matrices and cortical map revealed that the entire cortex is organized into four somatic sensorimotor, two medial, and two lateral subnetworks that display unique topologies and can interact through select cortical areas.”
transferfrom network science: the hub - a region of high network interaction - imported to interpret the claustrum and lateral entorhinal area— “The insular and temporal areas along the lateral aspect of the cortex formed two distinct clusters and the broad and unique intracortical connections of the claustrum and lateral entorhinal area suggest they may serve as hubs, or regions of high network interaction ( Sporns, 2010 ).”transfers[0]
transferfrom matrix clustering / community detection: reordering nodes so that dense groups fall along the diagonal, which converts a connectivity table into a set of named subnetworks— “The clustering orders nodes into modules that maximize the connectivity and arrange highly interconnected nodes such that they are clustered along the matrix diagonal, facilitating visualization of grouped regions that can be considered subnetworks.”transfers[1]
mechanismeach injection is designed to return four kinds of information at once - inputs, outputs, reciprocal connections and intermediate stations - by pairing an anterograde with a retrograde tracer— “The MCP neuronal connectivity data was produced using double co-injection tract tracing ( Thompson and Swanson, 2010 ), which simultaneously reveals four types of information for a given region (i.e. A): its (1) inputs (A←B), (2) outputs (A→B), (3) reciprocal or recurrent connections (A⇔B), and (4) intermediate stations, which bridge brain…mechanisms[0]
mechanismthe two tracer directions are used as independent measurements of the same connection, and their agreement is reported as a validity check— “Iterating through each matrix entry, 89% of connections exhibited mutual labeling by both anterograde and retrograde labeling methods, suggesting that the datasets were significantly similar.”mechanisms[1]
mechanisminjection specificity is cross-validated by tracing the reverse direction: retrograde tracer into the regions the anterograde labelling had targeted— “The specificity of injections are cross-validated by the application of retrograde tracers to regions targeted by anterogradely labeled axon terminals and vice versa ( Figure S1 for details on data validation).”mechanisms[2]
mechanismthe subnetworks are not stipulated but produced by reordering the matrix with a clustering algorithm, and named afterwards— “To reveal subnetworks, a composite matrix was constructed in which the nodes (ROIs) were reordered via a clustering algorithm ( Figure 2E ; Supplemental Materials for annotation and analysis details).”mechanisms[3]
mechanismthe clustering makes the matrix diagonal readable as within-subnetwork density and the off-diagonal as between-subnetwork traffic— “The clustering orders nodes into modules that maximize the connectivity and arrange highly interconnected nodes such that they are clustered along the matrix diagonal, facilitating visualization of grouped regions that can be considered subnetworks.”mechanisms[4]
mechanismthe whole analysis rests on hand annotation, because no tool can identify fine anatomic boundaries, and the strengths recorded are semi-quantitative— “Currently, informatics tools that automatically and precisely identify fine anatomic boundaries in histological brain sections are non-existent. Consequently, analysis of the data…mechanisms[5]
mechanismeach pathway is rendered as a separate layer in a common anatomic frame so that arbitrary combinations can be viewed togethermechanisms[6]
mechanismuniform collection and analysis is claimed as the advantage over connectivity matrices assembled from published literature
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mechanisms[7]
mechanismthe somatosensory subdivisions used as network nodes are themselves validated against known somatotopy in the brainstem before being used
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mechanisms[8]
mechanisma visualisation artefact is disclosed rather than left for the reader to discover: the injection sites look larger than they are once the image is brightened enough to show fine fibers
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mechanisms[9]
mechanismthe resource is framed as the input to later causal work, naming the specific techniques that would test any mapped pathway
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mechanisms[10]
builds-on the double co-injection tract tracing method of Thompson and Swanson (2010)
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claim_relations[0]
extends cortical connectivity matrices previously assembled from literature data (Honey et al., 2007; Sporns et al., 2007; Markov et al., 2010)
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claim_relations[1]
builds-on the concept of cross-modal modulation (Driver and Noesselt, 2008; Stein and Stanford, 2008)
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claim_relations[2]
extends the account of the lateral entorhinal cortex as a gateway to the hippocampus (de Curtis and Paré, 2004)
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claim_relations[3]
builds-on the experimental procedures of Hintiryan et al. (2012)
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claim_relations[4]
critiques cortical connectivity matrices assembled piecemeal from the published literature
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claim_relations[5]
extends human structural and functional network studies using fMRI and diffusion tensor imaging, which the paper holds need animal validation at higher resolution
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claim_relations[6]
contradicts the assumption that mammalian primary sensory cortices are strictly unisensory
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claim_relations[7]
builds-on the network-science framing of brain organisation, including the hub concept
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claim_relations[8]
extends wiring diagrams previously assembled only for specific functional systems or smaller scales
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claim_relations[9]
senseconnectome - as the C. elegans-style complete synaptic wiring diagram versus as the meso-scale regional map this paper builds
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senses[0]
sensecortical network - as derived from human fMRI and diffusion imaging versus as traced anatomically in an animal model; the paper treats the second as validation of the first
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senses[1]
senseconnectivity matrix - assembled piecemeal from published literature versus collected and analysed uniformly; the paper claims the difference matters
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senses[2]
sensesubnetwork - as a cluster in a reordered matrix versus as an anatomically or functionally defined system; here the first produces the second, and the names come last
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senses[3]
senseprimary sensory cortex as strictly unisensory versus as cross-modally modulated - a boundary the connectivity data is said to challenge
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senses[4]
senseconnection strength - as a semi-quantitative hand-graded density, which is what the weights in every matrix here actually are
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senses[5]
controlcross-validating anterograde injection specificity by applying retrograde tracers to the regions targeted by anterogradely labelled axon terminals, and the reverse — held
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— rules out that the anterograde labelling reflects nonspecific injection spread rather than a genuine projection
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controls[0]
differs incortical connectivity matrices assembled piecemeal from the published literature — THE AXIS IS HOW THE DATA WERE ASSEMBLED. 'the networks reported here are based on data collected and analyzed in a homogenous fashion rather than gathered piecemeal from the literature.' A critique of provenance rather than of any result - and one this project should read against itself, since a cross-field corpus is assembled exactly the way this sentence criticises.
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Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
claim_relations[5]
auditsubnetworks —operationalised-as→ clustering algorithm — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but subnetworks were revealed by a clustering algorithm; operationalised-as is loose.
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concept_edges[0]
weightsubnetworks —operationalised-as→ clustering algorithm — 0.95
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concept_edges[0]
auditclaustrum —is-a→ hubs — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span notes the claustrum's broad intracortical connections; is-a 'hubs' is inferred.
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concept_edges[3]
weightclaustrum —is-a→ hubs — 0.8
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concept_edges[3]
weightmedial —distinct-from→ lateral — 0.9
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concept_edges[5]
auditlateral entorhinal area —part-of→ trisynaptic circuit — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the span writes 'ENTl'; the endpoint is a variant, and part-of is loose ('the starting point of' the circuit).
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concept_edges[6]
weightlateral entorhinal area —part-of→ trisynaptic circuit — 0.85
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concept_edges[6]
outcomecontrol — held
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controls[0]
for which uselimitation — the interpretive claims, not the resource: the paper demonstrates THE FEASIBILITY OF PRODUCING AND COLLECTING LARGE-SCALE CONNECTIVITY DATA, and names interpretation as the unsolved part
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limitations[0]
for which uselimitation — any reading of injection extent from the published figures: WHEN IMAGES ARE ADJUSTED TO REVEAL FINE FIBERS, INJECTION [extent appears larger] than the ~250-500um stated
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limitations[1]
for which uselimitation — the precision of every areal boundary in the atlas: INFORMATICS TOOLS THAT AUTOMATICALLY AND PRECISELY IDENTIFY FINE ANATOMIC BOUNDARIES ... ARE NON-EXISTENT, so annotation is by hand
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limitations[2]
for which uselimitation — the synaptic and cell-type reading of any mapped connection: these MAY BE VALIDATED AT THE SYNAPTIC LEVEL USING TRANSSYNAPTIC VIRAL TRACING - not done here
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limitations[3]
for which uselimitation — the same scope as limitations[0] - collection is demonstrated, interpretation is not
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limitations[4]
for which uselimitation — the same scope as limitations[2], with the consequence: the analysis is hand-made and semi-quantitative
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limitations[5]
for which uselimitation — every use of the connectivity matrices: THEY EXCLUDE DETAILS LIKE PROJECTIONS ROUTES, LAMINAR SPECIFICITY OF PROJECTIONS, OR TOPOGRAPHICAL organisation - the condensed view drops features the authors call critical
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limitations[6]
for which uselimitation — the same scope as limitations[3] - anatomical connections, awaiting synaptic and functional validation
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limitations[7]
for which uselimitation — the transfer of human network findings: IT IS NECESSARY TO VALIDATE THESE NETWORKS USING RELIABLE NEURAL TRACT TRACING METHODS IN ANIMAL MODELS AT A HIGHER RESOLUTION
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limitations[8]
replicationuntested
limitationInterpreting large-scale connectivity data remains an unsolved challenge.
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limitations[0]
limitationPublished injection-site images overstate the true injection size.
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limitations[1]
limitationAnnotation had to be done by hand because no automated tool can delineate fine anatomical boundaries.
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limitations[2]
limitationThe mapped long-range interactions have not been validated at the synaptic or cell-type level.
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limitations[3]
limitationinterpreting connectivity data at this scale is named as the unsolved part, not the collection of it
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limitations[4]
limitationno automated tool exists for the annotation step, so the atlas is hand-made and semi-quantitative
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limitations[5]
limitationthe matrices discard route, laminar specificity and topography, which the authors call critical features of networks
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limitations[6]
limitationthe mapped connections are anatomical and require separate validation at the synaptic and functional level
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limitations[7]
limitationhuman network findings are held to need validation in animal models at higher resolution, which is the gap this atlas is built to fill
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limitations[8]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingThe mouse neocortex resolves into eight subnetworks: four somatic sensorimotor, two medial and two lateral, each with its own topology, communicating through selected cortical areas.
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content_tags.findings[0]
findingAnterograde and retrograde tracing agreed on 89% of matrix entries, cross-validating the connectivity dataset.
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content_tags.findings[1]
findingThe claustrum's cortical connectivity is asymmetric: it receives bilateral cortical input but sends output almost exclusively to the same hemisphere.
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content_tags.findings[2]
findingThe temporal association, ectorhinal and perirhinal areas are back-labelled from layers 2 and 5a of the entire neocortex except ACAv, RSP and VISp.
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content_tags.findings[3]
findingBecause every main node of the four somatic sensorimotor subnetworks is reciprocally connected, sensory and motor areas can interact directly without routing through higher-order association cortex.
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content_tags.findings[4]
findingThe findings support cross-modal modulation, challenging the idea that mammalian primary sensory cortices are strictly unisensory.
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content_tags.findings[5]
findingThe second medial subnetwork is a serial chain running from dorsal subiculum to RSPv to ACAv and then to the infralimbic, prelimbic and medial orbitofrontal areas.
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content_tags.findings[6]
findingVentral retrosplenial cortex is the sole neocortical area receiving dense dorsal subicular input, making it the entry point for dorsal hippocampal information into neocortex.
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content_tags.findings[7]
findingThe dorsolateral prefrontal cortex is where all four somatic sensorimotor subnetworks converge.
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content_tags.findings[8]
findingThe ventromedial prefrontal cortex is where the medial and lateral subnetworks converge, letting external sensory and internal visceral/gustatory information be integrated.
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content_tags.findings[9]
finding89% of connections were labelled by both the anterograde and retrograde methods, so the two datasets largely agree
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content_tags.findings[10]
findingclustering placed every node into a small number of distinct cortico-cortical modules
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content_tags.findings[11]
findingthe four somatic sensorimotor modules each formed a separate subnetwork
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content_tags.findings[12]
findingthe claustrum and lateral entorhinal area have broad unique connections consistent with a hub role
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content_tags.findings[13]
findingclaustral connectivity is asymmetric: inputs bilateral, outputs almost exclusively ipsilateral
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content_tags.findings[14]
findingthe temporal subnetwork receives input from nearly the entire neocortex
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content_tags.findings[15]
findingwithin the somatic sensorimotor subnetworks, sensory and motor areas interact directly without higher-order association areas
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content_tags.findings[16]
findingthe lateral subnetworks are points of massive convergence, each connected to a large number of cortical areas
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content_tags.findings[17]
findingeach subnetwork converges onto a discrete territory of prefrontal cortex
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content_tags.findings[18]
findingthe prefrontal zones are relatively segregated, which may help define their unique processing roles
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content_tags.findings[19]
findingabout 600 pathways from around 317 co-injections are available, 304 efferent and 296 afferent
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content_tags.findings[20]
findingthe findings support cross-modal modulation, against strictly unisensory primary sensory cortices
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content_tags.findings[21]
quantityOver 600 — labelled neuronal pathways collected across the whole mouse neocortex
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content_tags.quantities[0]
quantity240 — intracortical connections manually reconstructed into the common atlas frame
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content_tags.quantities[1]
quantity89% — share of matrix entries labelled by both the anterograde and the retrograde method
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content_tags.quantities[2]
quantity~600 pathways (304 efferent and 296 afferent), ~317 co-injections — contents of the released dataset at time of publication
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content_tags.quantities[3]
quantity80 anterograde and 160 retrograde — pathways included in the reconstructed cortico-cortical connectivity map
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content_tags.quantities[4]
quantity~ 250-500μm — diameter of the tracer co-injection sites
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.quantities[5]
quantity50μm — section thickness used for all brains
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.quantities[6]
quantityover 600 labeled neuronal pathways — the atlas contents
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.quantities[7]
quantity240 — intracortical connections manually reconstructed into the common frame
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.quantities[8]
quantity89% — connections labelled by both tracer directions
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.quantities[9]
quantity~250-500μm — co-injection size, mostly confined within individual cortical areas
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.quantities[10]
quantity304 efferent and 296 afferent — pathway counts from about 317 co-injections
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.quantities[11]
quantity8 week old male C57Bl/6J mice — the animals
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.quantities[12]
variableinjection site (independent)
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.variables[0]
variabledensity of intraconnectivity
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.variables[4]
variablelaminar distribution patterns
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.variables[5]
variableanterograde and retrograde labeling
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.variables[6]
definitionmacro- or meso-connectome
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[0]
definitionhub
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[1]
definitioniConnectome
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[3]
definitionmeso-connectome
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[5]
definitiondouble co-injection
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[6]
definitionhubs
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[7]
definitionclustering
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[8]
definitionintraconnectivity
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[9]
definitioninterconnectivity
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[10]
key-termsconnectome, meso-connectome, cortical connectivity atlas, subnetworks, connectivity matrices, double co-injection, anterograde, retrograde, hubs, clustering algorithm, somatic sensorimotor, claustrum, lateral entorhinal area, prefrontal cortex, cross-modal modulation, laminar specificity, iConnectome, semi-quantitative, trisynaptic circuit, tract tracing, neocortex, retrosplenial, insular, perirhinal
Statistics — cross-field join keys
field-invariant statistical terms, used in their statistical sense (gated on a number / symbol / test). A p-value or a standard deviation means the SAME thing in physics, biology, psychology and sociology — so these are the strongest cross-field join keys. Grounded verbatim.
cluster analysis as written: clustering algorithm
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content_tags.statistics[0]
percentage agreement between two methods as written: 89% of connections exhibited mutual labeling
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[1]
weighted directional connectivity matrices
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[2]
clustering algorithm
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[3]
semi-quantitative densities
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[4]
Second readings
a facet read a second time, independently, from its own sentence — and whether the two readings agree
claim typemethod — a second reading DIFFERING from the recorded value; recorded: existence
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.claim_type
methoddouble co-injection tract tracing, one anterograde and one retrograde tracer per site, across the whole neocortex, hand-annotated into weighted directional matrices and clustered — a second reading DIFFERING from the recorded value; recorded: system-or-tool-building
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.method
phenomenonlarge-scale cortico-cortical network organisation — a second reading DIFFERING from the recorded value; recorded: cortico-cortical connectivity of the mouse neocortex
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.phenomenon

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