A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex
Open accessAbstract
Retrograde tracer injections in 29 of the 91 areas of the macaque cerebral cortex revealed 1,615 interareal pathways, a third of which have not previously been reported. A weight index (extrinsic fraction of labeled neurons [FLNe]) was determined for each area-to-area pathway. Newly found projections were weaker on average compared with the known projections; nevertheless, the 2 sets of pathways had extensively overlapping weight distributions. Repeat injections across individuals revealed modest FLNe variability given the range of FLNe values (standard deviation <1 log unit, range 5 log units). The connectivity profile for each area conformed to a lognormal distribution, where a majority of projections are moderate or weak in strength. In the G29 × 29 interareal subgraph, two-thirds of the connections that can exist do exist. Analysis of the smallest set of areas that collects links from all 91 nodes of the G29 × 91 subgraph (dominating set analysis) confirms the dense (66%) structure of the cortical matrix. The G29 × 29 subgraph suggests an unexpectedly high incidence of unidirectional links. The directed and weighted G29 × 91 connectivity matrix for the macaque will be valuable for comparison with connectivity analyses in other species, including humans. It will also inform future modeling studies that explore the regularities of cortical networks.
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Written from the paper’s full text.
TL;DR
Retrograde tracer injections in 29 of 91 macaque cortical areas identified 1,615 interareal pathways, including 579 newly found projections, and yielded weighted directed connectivity matrices. The G29×29 subgraph was dense (66%) with an unexpectedly high incidence of unidirectional links (33%), and FLNe connection weights followed lognormal distributions.
Key findings
- Across 29 injected areas, 1,615 cortical pathways were found, of which 579 were newly found projections (NFP); NFP were weaker on average than known projections but overlapped extensively, with 43% of NFP moderate and 2% strong.
- Repeat injections showed FLNe variability with SD <1 log unit over a 5-log-unit range; single-injection FLNe values predicted the multi-injection mean within a factor of 2.7 (1 SD) in about 68% of cases, and 95% confidence values included 98.5% of observed FLNe means from 14 repeats.
- Connectivity profiles were well fit by lognormal distributions; in the G29×29 edge-complete subgraph, 536 directed links existed out of 812 possible, giving graph density 66%, with 214 bidirectional pairs, 108 unidirectional pairs, and 84 unconnected pairs.
- Dominating set analysis found one area pair (8l, 7m) receiving projections from all 91 areas, giving a minimum dominating set size of 2; in-degrees in G29×91 ranged from 26 to 87 with a mean of 57.4.
Methods
- Single fluorescent retrograde tracer injections (fast blue and diamidino yellow) were made in 28 macaques (27 *Macaca fascicularis*, 1 *Macaca mulatta*), yielding 39 injections in 29 cortical areas; localization used a 91-area M132 atlas mapped to the F99 surface atlas.
- Brains were sectioned at 40 μm, 1 in 3 sections retained, and 1 in 2 sections examined at 240 μm intervals across the cortical gray matter; FLNe was computed as labeled neurons in a source area relative to total labeled neurons excluding intrinsic neurons, with strong >−2, moderate −2 to −4, and sparse <−4 log10 FLNe.
- Analyses included negative binomial modeling of FLNe variability, lognormal order-statistic fits, graph density, dominating set analysis, and reciprocity/asymmetry assessment.
Limitations
- The paper states that some injections had minor white matter encroachment, which may have caused contamination by fibers of passage, though it considers this unlikely to be a major confound; alternative parcellation schemes could affect results, and most weights come from single injections.
- The paper states that areal heterogeneity may confound apparent unidirectional connections, and reciprocity could only be tested using injections in different animals; positive confirmation suggested a minimum of 10% of pathways are genuinely unidirectional.
- Evident from the text: only 29 of 91 areas were injected, so FIN density was inferred by assuming non-injected nodes have the same average in-degree as injected nodes; connection strengths are reported for *M. fascicularis* except in one case, and may vary in other macaque species.
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- Findingown data
Repeat injections across individuals revealed modest FLNe variability given the range of FLNe values, with standard deviation less than 1 log unit and range 5 log units.
“Repeat injections across individuals revealed modest FLNe variability given the range of FLNe values (standard deviation <1 log unit, range 5 log units).”
Quote in the paperNot a substantial claim - Findingown data
Dominating set analysis of the smallest set of areas that collects links from all 91 nodes of the G29 × 91 subgraph confirms the dense 66% structure of the cortical matrix.
“Analysis of the smallest set of areas that collects links from all 91 nodes of the G29 × 91 subgraph (dominating set analysis) confirms the dense (66%) structure of the cortical matrix.”
Quote in the paperSubstantial claim - Findingown data
For area 10, 15 projections had a mean FLNe value exceeding 10−2, classified as strong.
“Fifteen projections had a mean FLNe value exceeding 10−2, which we classify as a strong projection.”
Quote in the paperNot a substantial claim - Findingown data
One-third (10% of the total) of potentially unidirectional pathways were shown to originate from corresponding locations within the connected cortical areas.
“Our analysis of 1615 connections, including 36% that we consider to be NFP, reveals a high density of cortico-cortical connectivity (66%) and an unexpectedly high incidence (33%) of potentially unidirectional pathways, of which one-third (10% of the total) were shown to originate from corresponding locations within the connected cortical areas.”
Quote in the paperNot a substantial claim - Findingown data
For 4 input areas (45A, 31, 7A, and DP), the range of FLNe values exceeds 2 orders of magnitude.
“However, for 4 input areas (45A, 31, 7A, and DP) the range exceeds 2 orders of magnitude.”
Quote in the paperNot a substantial claim
- Findingown data
The negative binomial and lognormal distributions observed for early visual areas generalize to other cortical areas.
“Here, we demonstrate that both features, the negative binomial and lognormal distributions, generalize to other cortical areas and evidently reflect important regularities of neocortical organization.”
Quote in the paperSubstantial claim - Findingown data
The geometric mean of area 10 projections is reasonably well fit by a lognormal distribution.
“The geometric mean is reasonably well fit by a lognormal distribution (thick black line), as previously observed for visual areas V1, V2, and V4 (Markov et al. 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Markov et al. 2011 source
Not checked in the free run.
- Findingown data
Using identical methods to evaluate data from area 10 injections, area 10 is also well described by the same negative binomial model.
“Using identical methods to evaluate the data from the area 10 injections, we confirmed that area 10 is also well described by the same negative binominal model.”
Quote in the paperSubstantial claim - Findingown data
The observed range of FLNe values for the 4 repeat injections in area 10 is less than one order of magnitude for most areas.
“The observed range of FLNe values for the 4 repeat injections in area 10 is less than one order of magnitude for most areas.”
Quote in the paperNot a substantial claim - Findingown data
For area 10, 27 projections had FLNe values between 10−2 and 10−4, classified as moderate in strength.
“Twenty-seven projections had FLNe values between 10−2 and 10−4, which we classify as moderate in strength.”
Quote in the paperNot a substantial claim - Findingown data
The density of the binary cortical graph is much higher than previous estimates.
“By demonstrating that the density of the binary cortical graph (i.e. present vs. absent) is much higher than previous estimates, we provide important constraints on the classes of theoretical networks that are relevant to modeling interareal connectivity.”
Quote in the paperSubstantial claim - Findingown data
Newly found projections make an important contribution to the connectivity profile of each area.
“The NFP make an important contribution to the connectivity profile of each area.”
Quote in the paperSubstantial claim - Findingown data
For area 10, 24 projections had FLNe values below 10−4, classified as sparse.
“Twenty-four projections had FLNe values below 10−4, which we classify as sparse.”
Quote in the paperNot a substantial claim - Findingown data
The 4 repeat injections in area 10 showed similar labeling connectivity profiles in terms of the identity of labeled areas and the FLNe values for each projection.
“The 4 repeat injections in area 10 showed similar labeling connectivity profiles in terms of the identity of labeled areas and the FLNe values for each projection.”
Quote in the paperNot a substantial claim - Findingown data
For a few area 10 projections, the difference between individual and group average exceeds an order of magnitude.
“However, for a few projections, the difference between individual and group average exceeds an order of magnitude.”
Quote in the paperNot a substantial claim - Findingown data
For the 37 projections having interpolated mean counts fewer than 10 neurons, 31 were inconsistent.
“For the 37 projections having interpolated mean counts fewer than 10 neurons, 31 were inconsistent (see Supplementary Table 3).”
Quote in the paperSubstantial claim - Findingown data
The best-fitting negative binomial curve for area 10 differs considerably from a Poisson distribution except for low FLNe values.
“The best-fitting negative binomial curve differs considerably from a Poisson distribution (red line) except for low FLNe values.”
Quote in the paperNot a substantial claim - Findingown data
The dispersion parameter obtained from area 10 (5.0) yields a curve similar to that obtained from the visual areas (average dispersion 7.6).
“The dispersion parameter obtained from area 10 (5.0) yields a curve similar to that obtained from the visual areas (average dispersion, 7.6).”
Quote in the paperNot a substantial claim - Findingcitation
After Bonferroni correction, only the projections of areas 7A and DP to area 10 were inconsistent despite a statistically very low probability of being so.
“After applying the Bonferroni correction for evaluating multiple probabilities (Bretz et al. 2010), only the projections of areas 7A and DP to area 10 were inconsistent despite a statistically very low probability of being so.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bretz et al. 2010 source
Not checked in the free run.
- Findingown data
Given an FLNe value from only a single injection, the mean value lies within a factor of 2.7 (1 SD) in about 68% of cases.
“Given an FLNe value from only a single injection, the mean value (i.e. the value for the lognormal distribution) lies within a factor of 2.7 (1 SD) in about 68% of cases.”
Quote in the paperSubstantial claim - Findingown data
Of the 17 areas labeled by fewer than 4 area 10 injections, 15 were very sparse, with labeling of fewer than 10 neurons on average.
“Of the 17 areas labeled by fewer than 4 injections, 15 were very sparse, with labeling of fewer than 10 neurons on average.”
Quote in the paperNot a substantial claim - Findingown data
The probability of observing at least one false-negative after 5 injections drops much more steeply for a negative binomial than for a geometric distribution.
“The probability of observing at least one false-negative after 5 injections drops much more steeply for a negative binomial than for a geometric distribution (Fig. 5C).”
Quote in the paperNot a substantial claim - Findingown data
A similar analysis for area 10 shows a comparably good fit for most of the data involving strong and moderate projections.
“A similar analysis for area 10 (Fig. 4C) shows a comparably good fit for most of the data involving strong and moderate projections.”
Quote in the paperNot a substantial claim - Findingown data
For the full set of 14 repeats, involving 544 single FLNe values, the 95% confidence values included 98.5% of the observed FLNe means determined from repeat injections.
“For the full set of 14 repeats (see Supplementary Fig. 3), involving 544 single FLNe values, the 95% confidence values included 98.5% of the observed FLNe means determined from repeat injections.”
Quote in the paperSubstantial claim - Findingown data
In terms of the presence versus absence of connections, the 4 repeat injections in area 10 showed similar labeling patterns.
“In terms of the presence versus absence of connections, the 4 repeat injections in area 10 showed similar labeling patterns (Fig. 3A).”
Quote in the paperNot a substantial claim - Findingown data
The 2 exceptions were areas 7A and DP, with moderate labeling following a single injection.
“The 2 exceptions were areas 7A and DP, with moderate labeling following a single injection.”
Quote in the paperNot a substantial claim - Findingown data
The probability of observing at least one false-negative is a sigmoid function of the mean for 2, 3, and 5 injections.
“The probability of observing at least one false-negative decreases is a sigmoid function of the mean, as shown in Figure 5B for 2, 3, and 5 injections (spanning the range in our data set).”
Quote in the paperSubstantial claim - Findingown data
For 27 of 39 projections with an observed mean fewer than 10 neurons, the probability of the observed inconsistency under the negative binomial model exceeds 0.05, taking the observed mean as the best estimate of the population mean.
“Taking the observed mean as the best estimate of the population mean (or expected value), the probability of the observed inconsistency under the negative binomial model exceeds 0.05 for 27 of 39 projections having an observed mean fewer than 10 neurons (see Supplementary Table 3, column G).”
Quote in the paperSubstantial claim - Findingreasoning
The probability of a false-negative falls below 0.05 for means as low as 4 neurons for both the negative binomial and Poisson curves.
“The probability of a false-negative falls below 0.05 (grey horizontal line in Fig. 5A) for means as low as 4 neurons for both the negative binomial and Poisson curves, consistent with the convergence of their variance/mean ratio at small FLNe values shown in Figure 3B.”
Quote in the paperSubstantial claim - Findingown data
The standard deviation and mean of area 10 repeat injections are fit by a negative binomial distribution with a dispersion parameter of 5.0.
“In Figure 3B, the standard deviation (SD) and mean is fit by a negative binomial distribution (green line) having a dispersion parameter of 5.0 (see the Methods section).”
Quote in the paperNot a substantial claim - Findingown data
For 5 repeat injections, as in the V1 injections, the false-negative probability falls below 0.05 for a mean of 7 neurons.
“For 5 repeat injections, as in our V1 injections, the false-negative probability falls below 0.05 (grey horizontal line) for a mean of 7 neurons.”
Quote in the paperSubstantial claim - Findingown data
In those simulations, the variability in the estimates was proportional to the square root of the sampling interval.
“but the variability in the estimates was proportional to the square root of the sampling interval (e.g. a 1:16 sampling interval results in 4 times as much variability in the estimated occurrence of zero counts compared with a 1:1 sampling).”
Quote in the paperNot a substantial claim - Findingown data
In simulations of sparse projections having a negative binomial distribution, coarser sampling had little effect on the expected proportion of zero counts observed.
“In simulations of sparse projections having a negative binomial distribution, coarser sampling had little effect on the expected proportion of zero counts observed”
Quote in the paperSubstantial claim - Findingown data
Visual areas are concentrated in the upper left quadrant of the matrix.
“Visual areas are concentrated in the upper left quadrant of the matrix.”
Quote in the paperNot a substantial claim - Findingown data
Of the 1,615 pathways, 579 have not been previously described (NFP).
“Of these, 579 have not been previously described (NFP).”
Quote in the paperSubstantial claim - Findingown data
Injections in all 29 target areas revealed a total of 1,615 cortical pathways.
“Injections in all 29 target areas revealed a total of 1,615 cortical pathways.”
Quote in the paperSubstantial claim - Findingown data
43% of the NFP had FLNe of moderate strength.
“Remarkably, 43% of the NFP had FLNe of moderate strength”
Quote in the paperNot a substantial claim - Findingown data
A few (2%) of the NFP are classified as strong connections.
“and a few (2%) are classified as strong connections.”
Quote in the paperNot a substantial claim - Findingown data
For the 58 of 108 apparently unidirectional pathways in which more than 10 neurons were labeled, 32 showed an overlap between the injection site and labeled neurons indicative of a genuine unidirectional projection.
“For the 58 out of 108 apparently unidirectional pathways in which more than 10 neurons were labeled, 32 showed an overlap between the injection site and labeled neurons indicative of a genuine unidirectional projection (see Supplementary Table 4).”
Quote in the paperSubstantial claim - Findingown data
For all 29 areas injected, including the 14 repeat injections in 4 areas, the ordered FLNe was well described by a lognormal distribution.
“For all 29 areas injected, including the 14 repeat injections in 4 areas, we found that the ordered FLNe was well described by a lognormal distribution (Fig. 8 and see Supplementary Fig. 4).”
Quote in the paperSubstantial claim - Findingown data
At similar weights, the consistency of the NFP is similar to that of the known projections.
“This shows that at similar weights, the consistency of the NFP is similar to that of the known projections.”
Quote in the paperSubstantial claim - Findingown data
Each target area received projections from between 26 and 87 source areas.
“Each target area received projections from between 26 to 87 source areas.”
Quote in the paperNot a substantial claim - Findingown data
This is a much higher incidence of apparent unidirectional connections than reported in previous analyses.
“This is a much higher incidence of apparent unidirectional connections than reported in previous analyses (see the Discussion section).”
Quote in the paperSubstantial claim - Findingnone given
The incidence of inferred projections described for area F2 was similar for the other 28 target areas.
“The incidence of inferred projections (suggestive but not compelling evidence) described above for area F2 was similar for the other 28 target areas.”
Quote in the paperNot a substantial claim - Findingown data
For all sets of 2 target area combinations from the 29 target areas (406 pairs), 26.6% dominate 90-100% of the 91 areas.
“For all sets of 2 target area combinations from the 29 target areas (406 pairs), 26.6% of them dominate 90–100% of the 91 areas (see Supplementary Table 5).”
Quote in the paperSubstantial claim - Findingown data
All combinations of 8 sites (out of 29, ∼4.29 million) will dominate at least 90% of all the areas.
“Moreover, all combinations of 8 sites (out of 29, ∼4.29 million) will dominate at least 90% of all the areas (see Supplementary Table 5).”
Quote in the paperSubstantial claim - Findingown data
Higher-level areas of the frontal, parietal, and temporal cortex are mainly in the middle portion of the matrix.
“Higher-level areas of the frontal, parietal, and temporal cortex are mainly in the middle portion.”
Quote in the paperNot a substantial claim - Findingown data
Motor and somatosensory areas are concentrated in the lower right quadrant of the matrix.
“Motor and somatosensory areas are concentrated in the lower right quadrant.”
Quote in the paperNot a substantial claim - Findingown data
This study reports not only the presence but also the weights for 579 NFP.
“In addition, we report not only the presence but also the weights for 579 NFP.”
Quote in the paperSubstantial claim - Findingown data
All 4 repeat injections showed considerable variability, even for projections having moderate or strong FLNe values.
“All 4 of our repeat injections showed considerable variability, even for projections having moderate or strong FLNe values.”
Quote in the paperSubstantial claim - Findingown data
All 4 repeat-injection areas showed a distribution of FLNe strengths well fit by a lognormal distribution whose variability is described by a negative binomial distribution.
“All 4 repeat-injection areas showed a distribution of FLNe strengths well fit by a lognormal distribution whose variability is described by a negative binomial distribution.”
Quote in the paperSubstantial claim - Findingown data
Neighboring areas share similar connectivity, even when labeling levels are very low.
“Besides decreasing the NFP, such a parcellation process would also tend to erase another aspect of the present findings, namely that there is a drop in the weight of connectivity towards the periphery of the region of labeled neurons and that neighboring areas share similar connectivity, even when labeling levels are very low.”
Quote in the paperSubstantial claim - Findingown data
The 95% confidence intervals computed for individual injections into areas V1, V2, V4, and 10 include 97% of the mean values for the repeat injections.
“The 95% confidence intervals computed for individual injections into areas V1, V2, V4, and 10 include 97% of the mean values for the repeat injections.”
Quote in the paperSubstantial claim - Findingown data
Following random fusing of all possible pairs of adjacent areas, 25% NFP remain.
“However, following random fusing of “all” possible pairs of adjacent areas shows that 25% NFP remain (data not shown).”
Quote in the paperSubstantial claim- Rests on an assumption: The areal parcellation/atlas used is consistent and objective enough to define connections and compare across injections.
- Findingown data
At similar weights, the consistency of the NFP is equal to that of the known connections.
“This shows that at similar weights, the consistency of the NFP is equal to that of the known connections (see Supplementary Fig. 5).”
Quote in the paperSubstantial claim- Rests on an assumption: The areal parcellation/atlas used is consistent and objective enough to define connections and compare across injections.
- Findingown data
The repeat-injection analysis indicates that connectivity patterns across animals are remarkably consistent, except for very sparse projections.
“The repeat-injection analysis indicates that connectivity patterns across animals are remarkably consistent, except for very sparse projections.”
Quote in the paperSubstantial claim - Findingnone given
There is a drop in the weight of connectivity towards the periphery of the region of labeled neurons.
“Besides decreasing the NFP, such a parcellation process would also tend to erase another aspect of the present findings, namely that there is a drop in the weight of connectivity towards the periphery of the region of labeled neurons and that neighboring areas share similar connectivity, even when labeling levels are very low.”
Quote in the paperSubstantial claim - Findingown data
The NFP tend to complete the region of labeling formed by the known connections.
“On the whole, the NFP tend to complete the region of labeling formed by the known connections.”
Quote in the paperNot a substantial claim - Findingown data
The lognormal distribution of ordered FLNe values for the 25 single injections is similar to those for the 4 repeat-injection areas.
“The lognormal distribution of ordered FLNe values for the 25 single injections is similar to those for the 4 repeat-injection areas.”
Quote in the paperSubstantial claim - Findingown data
The dispersion parameter for each area lies within a limited range (θ between 5 and 9).
“The dispersion parameter for each area lies within a limited range (θ between 5 and 9).”
Quote in the paperNot a substantial claim - Findingown data
Cortical areas containing back labeled cells form a relatively continuous field comprising multiple areas.
“The general finding is that cortical areas containing back labeled cells form a relatively continuous field comprising multiple areas as illustrated in Figure 7.”
Quote in the paperSubstantial claim - Findingown data
False-negatives are also more likely for areas such as area 10 that are connected to a larger number of other areas.
“False-negatives are also more likely for areas such as area 10 that are connected to a larger number of other areas (Fig. 3A).”
Quote in the paperNot a substantial claim - Findingnone given
The connection strengths reported here are specifically for M. fascicularis, except in one case.
“We also note that the connection strengths reported here are (except in one case, see Supplementary Table 2) specifically for M. fascicularis; the values might vary for other macaque species, including the widely studied rhesus macaque (M. mulatta).”
Quote in the paperNot a substantial claim - Findingown data
There are multiple examples of labeled neurons in NFP that could be included in a known connection by shifting a border.
“Hence, in Figure 6 and Supplementary Figure 2, there are multiple examples of labeled neurons in NFP that could be included in a known connection by shifting a border, and in some instances, the shift would result in an unjustified increase in the dimensions of the known area.”
Quote in the paperNot a substantial claim - Findingcitation
The variability of V1 inputs to V4 exceeds that of many other source areas.
“However, there is essentially no uncertainty in the boundaries of area V1; yet, the variability of V1 inputs to V4 exceeds that of many other source areas (see Fig. 11C in Markov et al. 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Markov et al. 2011 source
Not checked in the free run.
- Findingown data
For very sparse projections, the probability of at least one false-negative increases with the number of injections.
“For very sparse projections, the probability of at least one false-negative increases with the number of injections (Fig. 5B).”
Quote in the paperSubstantial claim - Findingown data
We saw only a modest reduction in variability of the repeat injections in areas V1, V2, V4, and 10 when the areas were grouped into regions.
“Moreover, we saw only a modest reduction in variability of the repeat injections in areas V1, V2, V4, and 10 (Fig. 3C) when the areas were grouped into regions (Fig. 3D).”
Quote in the paperSubstantial claim - Findingown data
In the 29 injections, 75% of NFP share borders with areas with known connections.
“A correlate of this is that in the 29 injections, 75% of NFP share borders with areas with known connections.”
Quote in the paperNot a substantial claim- Rests on an assumption: The areal parcellation/atlas used is consistent and objective enough to define connections and compare across injections.
- Findingown data
In the present study, there was evidence for unidirectionality for 33% of connections.
“In the present study, reciprocity of cortical connectivity was unexpectedly low: There was evidence for unidirectionality for 33% of connections, and over 40% of bidirectional connections were strongly asymmetrical.”
Quote in the paperSubstantial claim - Findingown data
Over 40% of bidirectional connections were strongly asymmetrical.
“In the present study, reciprocity of cortical connectivity was unexpectedly low: There was evidence for unidirectionality for 33% of connections, and over 40% of bidirectional connections were strongly asymmetrical.”
Quote in the paperSubstantial claim - Findingown data
Positive confirmation via superposition of injection sites and retrograde labeling suggests that a minimum of 10% of all cortical pathways are genuinely unidirectional.
“Positive confirmation via superposition of injection sites and retrograde labeling suggests that a minimum of 10% of all cortical pathways are genuinely unidirectional.”
Quote in the paperSubstantial claim - Findingown data
The connectivity density (number of existing connections as a percentage of the maximum number of possible connections) is 66%.
“This gave rise to a connectivity density (i.e. the number of existing connections expressed as a percentage of the maximum number of possible connections) of 66%.”
Quote in the paperSubstantial claim- Rests on an assumption: The areal parcellation/atlas used is consistent and objective enough to define connections and compare across injections.
- Study design and conductnone given
The minor white matter encroachment is unlikely to be a major confound from contamination by fibers of passage.
“This may have led to some contamination by fibers of passage, but we consider this unlikely to be a major confound (see the Discussion section).”
Quote in the paperNot a substantial claim - Study design and conductcitation
Controlled high-frequency sampling allows stable neuron counts despite the curvature of the cortex and the heterogeneity of neuron distribution in the projection zone.
“Controlled high-frequency sampling allows stable neuron counts, despite the curvature of the cortex and the heterogeneity of neuron distribution in the projection zone (Batardiere et al. 1998; Vezoli et al. 2004) (see Supplementary Fig. 7).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisereasoning
Such data can only be obtained in animal models using invasive pathway-tracing methods of the type used here, which enable quantification of connectivity with single-neuron level resolution.
“Such data can only be obtained in animal models using invasive pathway-tracing methods of the type used here, which enable quantification of connectivity with single-neuron level resolution.”
Quote in the paperSubstantial claim - Study design and conductown data
Mapping provides each injection site with a well-defined stereotaxic location that is independent of the underlying cortical parcellation.
“This mapping provides each injection site with a well-defined stereotaxic location that is independent of the underlying cortical parcellation for the stereotaxic coordinates of the injection sites (see Supplementary Table 7).”
Quote in the paperNot a substantial claim - Premisecitation
The number of reported connections of areas V1 and V2 expanded from a half-dozen to 20 inputs to V1 and 16 to V2.
“For example, the number of reported connections of areas V1 and V2 expanded from a half-dozen (Felleman and Van Essen 1991) to 20 inputs to V1 and 16 to V2 (Boussaoud et al. 1990, 1991; Felleman and Van Essen 1991; Rockland and Van Hoesen 1994; Rockland et al. 1994; Stepniewska and Kaas 1996; Felleman et al. 1997; Barone et al. 2000; Falchier et al. 2002; Clavagnier et al. 2004; Gattass et al. 200”
Quote in the paperNot a substantial claim0 of 3 sources checked - Study design and conductown data
In areas V1, V4, TEO, 8m, 10, and 7m, there was minor encroachment of the injection into the white matter.
“However, in areas V1 (section 180), V4 (section 154), TEO (sections 187 and 195), 8m (section 161), 10 (section 20), and 7m (section 340), there was minor encroachment into the white matter (see Supplementary Fig. 6).”
Quote in the paperNot a substantial claim - Interpretationown data
The 15 very sparse areas were near the limit of systematic detectability expected for a variable whose SD/mean heteroscedasticity follows a negative binomial distribution.
“These were near the limit of systematic detectability expected for a variable where the heteroscedasticity of the SD/mean relation follows a negative binomial distribution (Fig. 3B).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: A negative binomial model with similar dispersion is valid for injections in other cortical regions.
- Study design and conductreasoning
The observations on inconsistency depend on the fine sampling employed.
“These observations on inconsistency depend on the fine sampling that we employed.”
Quote in the paperNot a substantial claim - Interpretationown data
Statistical fluctuation due to sampling errors can largely account for the observed inconsistency of very sparse projections.
“The following analysis indicates that statistical fluctuation due to sampling errors can largely account for the observed inconsistency of very sparse projections.”
Quote in the paperSubstantial claim- The authors state this as an assumption: A negative binomial model with similar dispersion is valid for injections in other cortical regions.
- Interpretationown data
Statistical fluctuations in the data largely account for the observed inconsistency of very sparse projections.
“However, statistical fluctuations in the data largely accounts for the observed inconsistency of very sparse projections (see the Discussion section).”
Quote in the paperSubstantial claim - Interpretationown data
A single-injection approach can provide a reasonable estimate of the connection weight of each pathway, generally within an order of magnitude.
“2) provide a reasonable estimate of the connection weight of each pathway (generally within an order of magnitude)”
Quote in the paperSubstantial claim - Interpretationown data
A single-injection approach can detect all but the most sparse projections with high probability.
“a single-injection approach can 1) detect all but the most sparse projections with high probability”
Quote in the paperSubstantial claim - Interpretationown data
A single-injection approach can identify some sparse connections that are statistically likely to be inconsistent across multiple injections.
“3) identify some of the sparse connections that are statistically likely to be inconsistent across multiple injections.”
Quote in the paperSubstantial claim - Premisecitation
Different subregions of F2 have distinct patterns of inputs.
“Different subregions of F2 have distinct patterns of inputs (Johnson et al. 1996; Matelli et al. 1998; Tanne-Gariepy et al. 2002; Luppino et al. 2003), so it is important to specify the location of the injection site.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
Repeat injections enable identification of a few additional sparse projections.
“Repeat injections enable identification of a few additional sparse projections”
Quote in the paperSubstantial claim - Interpretationown data
Repeat injections provide better estimates of average connection weights.
“and also provide better estimates of average connection weights.”
Quote in the paperSubstantial claim - Premisenone given
Previous analyses of reciprocity have been hampered by the incompleteness of data testing for connectivity in both directions using consistent parcellation criteria.
“Previous analyses of this issue have been hampered by the incompleteness of data testing for connectivity in both directions using consistent parcellation criteria (see the Introduction section).”
Quote in the paperSubstantial claim - Interpretationown data
A minimum of 10% of the 322 connected pairs are genuinely unidirectional.
“This analysis suggests that a minimum of 10% of the 322 connected pairs are genuinely unidirectional”
Quote in the paperSubstantial claim - Interpretationown data
Over half of the genuinely unidirectional connections have medium to strong FLNe values.
“and over half of these have medium to strong FLNe values (see also the Discussion section).”
Quote in the paperNot a substantial claim - Interpretationown data
The consistency in the weight distribution indicates a strong regularity in the cortex.
“This consistency in the weight distribution indicates a strong regularity in the cortex.”
Quote in the paperSubstantial claim - Premiseown data
Based on the M132 atlas parcellation, the FIN contains 91 cortical areas that represent the nodes of the G91 × 91 graph.
“Based on the M132 atlas parcellation (Fig. 1), the FIN contains NFIN = 91 cortical areas that represent the nodes of the G91 × 91 graph.”
Quote in the paperSubstantial claim - Interpretationown data
By characterizing the strength of 1,615 identified interareal projections, this study provides the most extensive quantitative analysis to date on cortico-cortical connectivity in the macaque.
“By characterizing the strength of 1,615 identified interareal projections, this study provides the most extensive quantitative analysis to date on cortico-cortical connectivity in the macaque.”
Quote in the paperSubstantial claim - Interpretationcitation
This is unlikely to be a major confound, especially since the fibers immediately under the gray matter mainly arise from the nearby cortex, predominantly the same cortical area.
“However, this is unlikely to be a major confound, especially since the fibers immediately under the gray matter mainly arise from the nearby cortex, that is, predominantly the same cortical area (Schmahmann and Pandya 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Schmahmann and Pandya 2009
Not checked in the free run.
- Interpretationown data
The identity entries running approximately along the diagonal suggest that areas having a similar pattern of inputs also have a similar pattern of outputs.
“These entries run approximately along the diagonal, suggesting that areas having a similar pattern of inputs also have a similar pattern of outputs.”
Quote in the paperNot a substantial claim - Interpretationown data
A dominating set analysis on G29 × 91 provides further evidence that the FIN is dense.
“A dominating set analysis on G29 × 91 provides further evidence that the FIN is indeed dense.”
Quote in the paperNot a substantial claim - Interpretationnone given
The connection weight measurements are generally within an order of magnitude of the average connection weight for the subregion of the area that was injected.
“we provide evidence that these measurements are generally within an order of magnitude of the average connection weight for the subregion of the area that was injected.”
Quote in the paperSubstantial claim - Interpretationreasoning
Given that the 29 injected areas are widely distributed among the 6 regions, the G29 × 29 subgraph is likely to reflect major characteristics of the FIN.
“Given that the 29 injected areas are widely distributed among the 6 regions, the G29 × 29 subgraph is likely to reflect major characteristics of the FIN.”
Quote in the paperSubstantial claim - Interpretationreasoning
Because G29 × 29 is an edge-complete subgraph of FIN, its density is expected to be comparable to that of the FIN.
“Because it is an edge-complete subgraph of FIN, the density of G29 × 29 is expected to be comparable to that of the FIN.”
Quote in the paperSubstantial claim - Interpretationreasoning
Reporting all injection sites by their stereotaxic coordinates in F99 atlas space provides finer granularity for objectively comparing connectivity data to alternative parcellation schemes and to other data modalities.
“In addition, we report all injection sites by their stereotaxic coordinates in the F99 atlas space. This provides an even finer granularity for objectively comparing our connectivity data to alternative parcellation schemes and to other data modalities such as functional connectivity revealed by functional magnetic resonance imaging (fMRI) (Vincent et al. 2007) and structural connectivity revealed”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationown data
These data empirically confirm the capacity of the statistical analysis to predict the observed variance.
“These data empirically confirm the capacity of our statistical analysis to predict the observed variance.”
Quote in the paperSubstantial claim - Premisecitation
High levels of recurrent connectivity in the source area can lead to labeled axon terminals in the vicinity of retrogradely labeled cells that can be mistaken for long-distance anterograde labeling from the injected target area.
“This is because the high levels of recurrent connectivity in the source area (Braitenberg and Schüz 1998; Markov et al. 2011) can lead to labeled axon terminals in the vicinity of the retrogradely labeled cells that can be mistaken for long-distance anterograde labeling from the injected target area.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
There is essentially no uncertainty in the boundaries of area V1.
“However, there is essentially no uncertainty in the boundaries of area V1; yet, the variability of V1 inputs to V4 exceeds that of many other source areas (see Fig. 11C in Markov et al. 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Markov et al. 2011 source
Not checked in the free run.
- Interpretationreasoning
In some instances, shifting a border to include NFP in a known connection would result in an unjustified increase in the dimensions of the known area.
“Hence, in Figure 6 and Supplementary Figure 2, there are multiple examples of labeled neurons in NFP that could be included in a known connection by shifting a border, and in some instances, the shift would result in an unjustified increase in the dimensions of the known area.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Our evidence for unidirectionality is susceptible to error because the reciprocity of connections could only be tested using injections in different animals.
“Our evidence for unidirectionality is susceptible to error because the reciprocity of connections could only be tested using injections in different animals.”
Quote in the paperSubstantial claim - Interpretationown data
It is reasonable to use the negative binomial model derived from the repeat injections to estimate the 95% confidence intervals for the single injections as well.
“Hence, it is reasonable to use the negative binomial model derived from the repeat injections to estimate the 95% confidence intervals for the single injections as well.”
Quote in the paperSubstantial claim - Interpretationreasoning
NFP may have been missed in studies that did not closely scrutinize distant cortical regions.
“Another is that most NFP are long-distance connections that may have been missed in studies that did not closely scrutinize distant cortical regions.”
Quote in the paperSubstantial claim - Premisereasoning
Using a bidirectional tracer such as WGA-HRP is not appropriate for testing unidirectionality.
“For example, using a bidirectional tracer such as WGA-HRP is not appropriate.”
Quote in the paperSubstantial claim - Interpretationown data
The lognormal distribution observed for all injections indicates that sparse connections are part of an impressively broad and essentially continuous range of connection weights.
“The lognormal distribution observed for all injections indicates that sparse connections are part of an impressively broad and essentially continuous range of connection weights.”
Quote in the paperSubstantial claim - Premisecitation
Internal heterogeneity in connectivity patterns is well documented for the peripheral versus central representations of V1, V2, and V4 and for the body representation of F2.
“This is well documented for the peripheral versus central representations of V1, V2, and V4 (Falchier et al. 2002) and the body representation of F2 (Johnson et al. 1996; Matelli et al. 1998; Tanne-Gariepy et al. 2002; Luppino et al. 2003).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Many cortical areas show major internal heterogeneity in their connectivity patterns that exceeds the variability reported here for repeat injections localized to a particular areal subregion.
“Many cortical areas show major internal heterogeneity in their connectivity patterns that exceeds the variability reported here for repeat injections that were localized to a particular areal subregion.”
Quote in the paperNot a substantial claim0 of 3 sources checked - Interpretationnone given
Areal heterogeneity may be a confounding factor for many of the apparent unidirectional connections reported in the present study.
“However, areal heterogeneity may be a confounding factor for many of the apparent unidirectional connections reported in the present study.”
Quote in the paperSubstantial claim - Premisecitation
Subsequent studies have revealed numerous connections between functional systems, for example, between early auditory and visual areas.
“However, subsequent studies have revealed numerous connections between functional systems, for example, between early auditory and visual areas (Falchier et al. 2002).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Falchier et al. 2002 source
Not checked in the free run.
- Premisecitation
A decrease in weight values with increasing size is supported by the comparison of interareal connectivity in primate brains of different sizes.
“A decrease in weight values with increasing size is supported by the comparison of interareal connectivity in primate brains of different sizes (Palmer and Rosa 2006).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Palmer and Rosa 2006
Not checked in the free run.
- Premisecitation
Numerous noninvasive brain imaging studies in primates using brain parcellations ranging from 45 to 90 areas report wide ranging densities, from 7% to over 50%.
“Numerous noninvasive brain imaging studies carried out in primates using brain parcellations ranging from 45 to 90 areas report wide ranging densities, from 7% to over 50% (He et al. 2007; Chen et al. 2008; Hagmann et al. 2008; Iturria-Medina et al. 2008; Gong et al. 2009; Li et al. 2009).”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
There are numerous examples of causative interaction between weakly connected areas where the direct cortico-cortical pathway may play a functional role.
“There are numerous examples of causative interaction between weakly connected areas where the direct cortico-cortical pathway may play a functional role (Ekstrom et al. 2008; Wang et al. 2008).”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationcitation
Changes in the frequency of long-distance connections with changes in brain size would be associated with a change in density of the cortical matrix.
“Changes in the frequency of long-distance connections with changes in brain size would be associated with a change in density of the cortical matrix.”
Quote in the paperSubstantial claim - Premisecitation
The mouse cortex has a very high density of its interareal graph in comparison to the present findings in the larger macaque brain.
“In this respect, it is notable that the mouse cortex has a very high density of its interareal graph in comparison to the present findings in the larger macaque brain (Wang et al. 2012).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wang et al. 2012 source
Not checked in the free run.
- The quote only partly states this claim. 2
- May combine two claims. 72
- Classified as probably not a substantial claim. 40
The quote only partly states this claim.
Findingown dataThe G29 × 29 subgraph indicates an unexpectedly high incidence of unidirectional (nonreciprocal) pathways, about 33% of potentially unidirectional pathways.
“The G29 × 29 subgraph suggests an unexpectedly high incidence of unidirectional links.”
- Also stated in: § Introduction · hedged
“In contrast, our analysis of a 29 × 29 subset of cortical areas indicates an unexpectedly high incidence of unidirectional (nonreciprocal) pathways.”
- Also stated in: § Introduction · plain
“Our analysis of 1615 connections, including 36% that we consider to be NFP, reveals a high density of cortico-cortical connectivity (66%) and an unexpectedly high incidence (33%) of potentially unidirectional pathways, of which one-third (10% of the total) were shown to originate from corresponding locations within the connected cortical areas.”
Quote in the paperSubstantial claim- Also stated in: § Introduction · hedged
May combine two claims.
Findingown dataNewly found projections were weaker on average than known projections, but the two sets had extensively overlapping weight distributions.
“Newly found projections were weaker on average compared with the known projections; nevertheless, the 2 sets of pathways had extensively overlapping weight distributions.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataRetrograde tracer injections in 29 of the 91 areas of the macaque cerebral cortex revealed 1,615 interareal pathways, about one-third of which had not previously been reported.
“Retrograde tracer injections in 29 of the 91 areas of the macaque cerebral cortex revealed 1,615 interareal pathways, a third of which have not previously been reported.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe connectivity profile for each area conformed to a lognormal distribution, in which a majority of projections are moderate or weak in strength.
“The connectivity profile for each area conformed to a lognormal distribution, where a majority of projections are moderate or weak in strength.”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataIn the G29 × 29 interareal subgraph, two-thirds of the connections that can exist do exist, giving a high density of cortico-cortical connectivity of 66%.
“In the G29 × 29 interareal subgraph, two-thirds of the connections that can exist do exist.”
- Also stated in: § Introduction · plain
“Our analysis of 1615 connections, including 36% that we consider to be NFP, reveals a high density of cortico-cortical connectivity (66%) and an unexpectedly high incidence (33%) of potentially unidirectional pathways, of which one-third (10% of the total) were shown to originate from corresponding locations within the connected cortical areas.”
Quote in the paperSubstantial claim- Also stated in: § Introduction · plain
May combine two claims.
Findingown dataFor the 67 areas containing label from at least one area 10 injection, 50 (75%) were labeled by all 4 injections, 7 by 3 injections, 4 by 2 injections, and 6 by only a single injection; 24 areas lacked connections in all 4 cases.
“For the 67 areas containing label from at least one injection, 50 (75%) were labeled by all 4 injections, 7 by 3 injections, 4 by 2 injections and 6 by only a single injection; 24 areas lacked connections to the injection area in all 4 cases.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe best-fitting negative binomial curve for area 10 is closer to a geometric distribution, as was seen for injections of areas V1, V2, and V4.
“It is closer to a geometric distribution (blue line), as was seen for injections of areas V1, V2, and V4 (Markov et al. 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Markov et al. 2011 source
Not checked in the free run.
May combine two claims.
Findingown dataFor an exemplar single V1 injection, the difference between the observed single-case value and the mean of 5 injections is generally quite small and in every case lies within the 95% confidence interval predicted by the negative binomial distribution.
“The difference between the observed single-case value and the mean of 5 injections (blue circles) is generally quite small and for this exemplar injection in every case lies within the 95% confidence interval predicted by the negative binomial distribution.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFLNe values obtained from single injections are usually within a factor of 3 and highly likely to be within a factor of 10 of the mean value.
“Altogether, this analysis indicates that FLNe values obtained from single injections are usually within a factor of 3 and highly likely to be within a factor of 10 of the mean value.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe maximum difference between the single V1 injection and the mean of 5 injections is 0.99 log unit, corresponding to a 9.5-fold difference.
“The maximum difference is 0.99 log unit, corresponding to a 9.5-fold difference between the single-subject and group-average results.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf the 12 cases with probabilities below 0.05, 3 are consistent and had an observed mean exceeding 7 neurons.
“Of the 12 cases with probabilities below 0.05, 3 are consistent and had an observed mean exceeding 7 neurons.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMost NFP to F2 are sparse, but several (areas 12, MB, and PGa) are moderate in strength.
“Quantification of each pathway (see Supplementary Table 6) indicates that most NFP to F2 are indeed sparse, but several (areas 12, MB, and PGa) are moderate in strength.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNFP from the F2 injection are located in temporal (9), prefrontal (4), and frontal (1) regions.
“NFP are located in temporal (9), prefrontal (4), and frontal (1) regions (blue areal labels in Fig. 6).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFifty-one projections were identified from the F2 injection, of which 14 are considered NFP.
“Fifty one projections were identified from this injection, of which 14 we consider NFP.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe strongest connections tend to be from areas close to the injection, but there are exceptions.
“The strongest connections tend to be from areas close to the injection, but there are exceptions.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNFP are rare in the immediate vicinity of the injected area, but are common at both intermediate and distant locations and often form a near-continuous belt of areas.
“NFP are rare in the immediate vicinity of the injected area, but are common at both intermediate and distant locations and often form a near-continuous belt of areas, as in Figure 7.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationThe injection in case 27 was in the hindlimb representation and did not lead to labeling in areas V6A, 32, and PIP, whereas more lateral and ventral injections in the arm representation do label these areas.
“For example, the injection in case 27 was in the hindlimb representation and did not lead to labeling in areas V6A, 32, and PIP, whereas more lateral and ventral injections (in the arm representation) do label these areas (Johnson et al. 1996; Matelli et al. 1998; Caminiti et al. 1999; Petrides and Pandya 1999; Tanne-Gariepy et al. 2002).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Johnson et al. 1996
Not checked in the free run.
- cites Matelli et al. 1998
Not checked in the free run.
- cites Caminiti et al. 1999
Not checked in the free run.
May combine two claims.
Findingown dataIn general, the areas providing inputs to any given target area form a group that covers at least half of the cortical surface and in some cases more than three quarters of the hemisphere.
“In general, the areas providing inputs to any given target area form a group that covers at least half of the cortical surface (e.g. area 24c) and in some cases more than 3 quarters of the hemisphere (e.g. area 7A).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data126 reciprocal pathways were categorized as symmetric and 88 as asymmetric.
“We categorized 126 reciprocal pathways as symmetric and 88 as asymmetric (see Supplementary Table 4).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOf the 108 unidirectional connections, 4 are classified as strong and 36 as medium.
“Of the 108 unidirectional connections, 4 are classified as strong and 36 as medium (see the Materials and Methods section).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe 29 × 91 connectivity matrix is asymmetric, in contrast to many connectivity matrices obtained using neuroimaging methods that cannot distinguish the directionality of connections.
“The matrix is asymmetric, in contrast to many connectivity matrices obtained using neuroimaging methods that cannot distinguish the directionality of connections.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe curves in Figure 8 illustrate common features in the connectivity profiles, including close tracking of single FLNe values to the lognormal distribution and progressive widening of the 95% confidence interval with decreasing FLNe values.
“The curves shown in Figure 8 illustrate common features in the connectivity profiles including just how closely the single FLNe values track the lognormal distribution as well as the progressive widening of the 95% confidence interval with decreasing FLNe values.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor the target areas in each cortical region, NFP constituted a substantial fraction of the total number of connections: limbic 13%, prefrontal 40%, frontal 30%, parietal 30%, temporal 43%, and occipital 37%.
“For the target areas in each cortical region, the NFP constituted a substantial fraction of the total number of connections (limbic 13%, prefrontal 40%, frontal 30%, parietal 30%, temporal 43%, and occipital 37%).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataKnown connections are on average stronger than NFP, but the two populations overlap extensively.
“Known connections are on average stronger than NFP, but the 2 populations overlap extensively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the G29 × 29 edge-complete matrix, connectivity was bidirectional between 214 projection pairs, unidirectional for 108 pairs, and unconnected for 84 pairs.
“In our G29 × 29 edge-complete matrix, the connectivity was bidirectional between 214 projection pairs, unidirectional for 108 pairs, and unconnected for 84 pairs (see Supplementary Table 4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor very low FLNe values, NFP correspond up to 90% of the population, but constitute a decreasing fraction of the source areas with increasing FLNe.
“For very low FLNe values, NFP correspond up to 90% of the population, but constitute a decreasing fraction of the source areas with increasing FLNe.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor area triples there are 69 dominating sets (1.88% of 3654), and for sets of 4 areas there are 1,978 (8.33% of 23,751).
“For area triples there are 69 dominating sets (1.88% of 3654), and for sets of 4 areas, there are 1,978 (8.33% of 23 751).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe G29 × 29 graph has 536 binary directed links from the maximum possible 812, and is strongly interconnected with a graph density of 0.66 (66%).
“The G29 × 29 graph has M= 536 (binary) directed links from the maximum possible of N(N−1) = 812, and therefore, it is strongly interconnected, with a graph density of ρ= 0.66 (66%).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe in-degrees of the G29 × 91 graph range from 26 to 87, and their distribution is concentrated around the mean.
“The in-degrees of the G29 × 91 graph (i.e. the number of source areas projecting to each of 29 target areas, Fig. 12) range from 26 to 87 with a mean of ; their distribution (right side of figure) is concentrated around the mean.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe in-degree distribution is inconsistent with a scale-free graph, as is the fact that slightly increasing the size of dominating sets to include 3, 4, and more nodes quickly increases their number.
“The in-degree distribution (Fig. 12) is “inconsistent” with a scale free graph, as is the fact that slightly increasing the size of dominating sets to include 3, 4, and more nodes quickly increases their number.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOne pair of areas (8l, 7m) receives projections from all 91 areas, revealing an MDS size of 2.
“One pair of areas (8l, 7m) receives projections from all 91 areas, revealing an MDS size of 2.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe median number of estimated extrinsic neurons per hemisphere labeled by one repeat injection is 187,000 (interquartile range 98,000-280,000), giving a lower limit to the reliability of the FLNe of <6 × 10−5.
“The median number of estimated extrinsic neurons per hemisphere labeled by one of our repeat injections is 187,000 (interquartile range: 98,000–280,000), which gives a lower limit to the reliability of the FLNe of <6 × 10−5.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenMost NFP are long-distance connections.
“Another is that most NFP are long-distance connections that may have been missed in studies that did not closely scrutinize distant cortical regions.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationThis consistency was previously shown for central visual field injections in areas V1, V2, and V4 and is extended in the present study to area 10, a higher order area with about twice as many inputs as the early visual areas.
“This was previously shown for central visual field injections in areas V1, V2, and V4 (Markov et al. 2011) and is extended in the present study to area 10, a higher order area with about twice as many inputs as the early visual areas (Fig. 11).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Markov et al. 2011 source
Not checked in the free run.
May combine two claims.
Findingown dataThe NFP are sparser than the known connections, but overall their weight distribution overlaps with that of the known connections.
“While the NFP are sparser than the known connections, overall their weight distribution overlaps with that of the known connections (Fig. 9).”
Quote in the paperSubstantial claim- Rests on an assumption: The areal parcellation/atlas used is consistent and objective enough to define connections and compare across injections.
May combine two claims.
Findingown dataRepeat injections in areas V1, V2, V4, and 10 showed that 58% of NFP are present after each repeat injection and are therefore classified as consistent.
“Further, repeat injections in areas V1, V2, V4, and 10 showed that 58% of NFP are present after each repeat injection and are therefore classified as consistent.”
Quote in the paperSubstantial claim- Rests on an assumption: The areal parcellation/atlas used is consistent and objective enough to define connections and compare across injections.
May combine two claims.
Findingown dataProjections having more than 10 neurons on average occurred consistently in repeat injections, with just 2 exceptions, and therefore can be considered stable projections.
“Projections having more than 10 neurons on average occurred consistently in repeat injections, with just 2 exceptions, and therefore can be considered stable projections.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIf the analysis were restricted to previously known connections, the estimated density for the entire hemisphere would decrease to 45%, similar to that predicted for the visual system alone by Felleman and Van Essen (1991) and Jouve et al. 1998.
“If the analysis were restricted to previously known connections, the estimated density for the entire hemisphere would decrease to 45%, similar to that predicted for the visual system alone by Felleman and Van Essen (1991) and Jouve et al. 1998.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Felleman and Van Essen (1991) source
Not checked in the free run.
- cites Jouve et al. 1998
Not checked in the free run.
- Rests on an assumption: The areal parcellation/atlas used is consistent and objective enough to define connections and compare across injections.
May combine two claims.
FindingcitationNFP significantly span greater distances and more frequently link areas in different regions than do the known connections.
“In this respect, we found that NFP signficantly span greater distances and more frequently link areas in different regions than do the known connections (Markov et al. in preparation).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Markov et al. in preparation
Not checked in the free run.
May combine two claims.
Interpretationown dataThe negative binomial and lognormal distributions evidently reflect important regularities of neocortical organization.
“Here, we demonstrate that both features, the negative binomial and lognormal distributions, generalize to other cortical areas and evidently reflect important regularities of neocortical organization.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationCortico-cortical connections are directed as well as weighted.
“Just as with many other real-world networks (Boccaletti et al. 2006), cortico-cortical connections are directed as well as weighted.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Boccaletti et al. 2006 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationA seminal analysis across studies concluded that between-animal variability of a given pathway can exceed 2 orders of magnitude.
“A seminal paper analyzed data across studies and concluded that between-animal variability of a given pathway can exceed 2 orders of magnitude (Scannell et al. 2000).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Scannell et al. 2000
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenOnly projections that previously were neither depicted nor listed in publications or databases were classified as newly found projections.
“Here, only projections that previously were neither depicted nor listed in publications or databases (cf. see Supplementary Tables 1 and 6) are classified as NFP.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataTo identify connections not previously reported, the authors assessed the connections reported in 119 published studies of connectivity.
“To identify connections to the 29 target areas that were not previously reported, we assessed the connections reported in 119 published studies of connectivity (see Supplementary Tables 1 and 6).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenSubsequent studies using improved tracers, more systematic methods, and different parcellation schemes revealed numerous additional pathways.
“Subsequent studies using improved tracers, more systematic methods, and different parcellation schemes revealed numerous additional pathways.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe veracity of labeled neurons was checked by senior team members.
“The veracity of labeled neurons were checked by senior team members (H.K., C.D., P.M., N.T.M., and C.L.).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenInjections were included in the analysis if they showed little or no involvement of the underlying white matter and were restricted to a single cortical area.
“Injections were included in our analysis if they showed little or no involvement of the underlying white matter and were restricted to a single cortical area.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAn early systematic study compiled the interareal connectivity of 32 visual areas in the macaque and reported 305 known projections out of 992 possible pathways, giving a link density of 32% for the visual cortex.
“In the resultant 32 × 32 connectivity matrix, these authors reported 305 known projections out of 992 possible pathways, giving a link density (or graph density) of 32% for the visual cortex, that is, one-third of the maximum possible connections among visual areas were reported to exist.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Felleman and Van Essen 1991 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenWhen exploring for labeled neurons, 1 section in 2 (at 240 μm intervals) was examined throughout the cortical gray matter, which enabled the identification of many newly found projections.
“Importantly, when exploring for labeled neurons, 1 section in 2 (i.e. at 240 μm intervals) was examined throughout the cortical gray matter, which enabled the identification of many NFP.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe latter study also identified many newly found projections, especially with areas outside the classical visual system.
“The latter study also identified many newly found projections (NFP), especially with areas outside the classical visual system.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Markov et al. 2011 source
Not checked in the free run.
May combine two claims.
PremisecitationIndirect methods of assessing cortical connectivity using diffusion imaging and resting state functional connectivity are insensitive to the direction of connections and are limited in estimating the weight of the underlying anatomical connections.
“Indirect methods of assessing cortical connectivity using diffusion imaging and resting state functional connectivity are insensitive to the direction of connections and are limited in estimating the weight of the underlying anatomical connections (Hagmann et al. 2008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hagmann et al. 2008 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA recent hemisphere-wide analysis involving retrograde tracers injected into areas V1, V2, and V4 showed interindividual variability typically less than an order of magnitude.
“In contrast, a recent hemisphere-wide analysis involving retrograde tracers injected into areas V1, V2, and V4 showed greater consistency, with interindividual variability typically less than an order of magnitude (Markov et al. 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Markov et al. 2011 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenNot all sections were scored when mapping heavily labeled areas.
“However, not all sections were scored when mapping heavily labeled areas.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationWhile cortico-cortical pathways vary widely in weight, surprisingly little quantitative data are available on quantitative connectivity profiles in nonhuman primates.
“While it is well known that cortico-cortical pathways vary widely in their weight (connection strength), surprisingly little data are available on quantitative connectivity profiles in nonhuman primates (Falchier et al. 2002; Barbas et al. 2005; Burman et al. 2011; Markov et al. 2011).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Falchier et al. 2002
Not checked in the free run.
- cites Barbas et al. 2005
Not checked in the free run.
- cites Burman et al. 2011
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationPrevious studies reported that the vast majority of pathways between cortical areas are reciprocal; Felleman and Van Essen identified only 5 unidirectional pathways out of 126 explicitly tested pairs.
“Felleman and Van Essen (1991) identified only 5 unidirectional pathways out of the 126 explicitly tested pairs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Felleman and Van Essen (1991) source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataComplete scanning of the hemisphere made it possible to determine the full set of ipsilateral cortical source areas projecting to each injected area.
“Complete scanning of the hemisphere made it possible to determine the full set of ipsilateral cortical source areas projecting to each injected area.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataComparison of variability of repeat injections in V1, V2, V4, and 10 with variability when areas are grouped into larger regions shows only a modest reduction in variability, suggesting that areal delineation is not the major source of variability.
“Comparisons of the slopes in Figure 3C,D show only a modest reduction in variability, suggesting that areal delineation is not the major source of variability.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationIncreasing the sampling rate reduces the variability in estimates of the FLNe.
“Elsewhere we have shown that increasing the sampling rate reduces the variability in estimates of the FLNe (Vezoli et al. 2004).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Vezoli et al. 2004 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationArea F2 is located anterior to F1 (area 4), extends rostrally up to 3 mm in front of the genu of the arcuate sulcus, and is bordered ventrally by the spur of the arcuate sulcus.
“It is located anterior to F1 (area 4), extends rostrally up to 3 mm in front of the genu of the arcuate sulcus and is bordered ventrally by the spur of the arcuate sulcus (Matelli et al. 1998).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Matelli et al. 1998
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationArea F2 is located in the dorso-caudal part of Brodmann's premotor area, area 6.
“Area F2 is located in the dorso-caudal part of Brodmann's premotor area, area 6.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Matelli et al. 1998
Not checked in the free run.
May combine two claims.
Study design and conductown dataThe availability of 29 injections analyzed using the same parcellation scheme enabled testing for the existence of all pathways and generating an edge-complete graph, G29 × 29.
“The availability of 29 injections analyzed using the same parcellation scheme enabled us to test for the existence of all pathways and to generate an edge-complete graph, which we call G29 × 29.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThe curves in each plot are based only on the mean and SDs of the log10(FLNe) values and the number of projections; no free parameters were used to constrain the shape of the curves.
“The curves in each plot are based only on the mean and SDs of the log10 (FLNe) values and the number of projections; no free parameters were used to constrain the shape of the curves.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe evidence for the existence of the known connections is generally relatively good, insofar as most projections are reported in several studies.
“The evidence for the existence of the known connections is generally relatively good, insofar as most projections are reported in several studies.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenSome cortical areas have nonuniform connectivity across their extent, and this could impact assessments of reciprocity.
“As already noted, some cortical areas have nonuniform connectivity across their extent, and this could impact assessments of reciprocity.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationFoveal V1 and V4 are reciprocally connected, whereas peripheral V4 projects to V1 but does not receive a projection from V1.
“For example, whereas foveal V1 and V4 are reciprocally connected (Zeki 1978; Zeki 1980; Van Essen et al. 1986), peripheral V4 projects to V1 but does not receive a projection from V1 (Kennedy and Bullier 1985; Perkel et al. 1986).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Zeki 1978 source
Not checked in the free run.
- cites Zeki 1980
Not checked in the free run.
- cites Van Essen et al. 1986
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThere are many alternative parcellation schemes for the macaque cortex, some of which are finer-grained than the 91-area parcellation used.
“For instance, there are many alternative parcellation schemes for the macaque cortex, some of which are finer-grained than the 91-area parcellation we used.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataWhen combined with close section intervals and full hemisphere scanning, the tracers revealed many NFP for each area injected and enabled estimation of connection weight for each projection.
“When combined with close section intervals and full hemisphere scanning, these tracers revealed many NFP for each area injected and enabled estimation of connection weight for each projection.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAltogether, this provides a reasonably accurate portrayal of the connectivity profiles for the 29 injected areas and provides G29 × 29 and G29 × 91 subgraphs constructed with consistent criteria.
“Altogether, this provides a reasonably accurate portrayal of the connectivity profiles for the 29 injected areas and provides G29 × 29 and G29 × 91 subgraphs constructed with consistent criteria.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe many deviations from the diagonal suggest that some areas having similar input profiles have distinctly different output profiles, and vice versa.
“However, the many deviations from the diagonal suggest that some areas having similar input profiles have distinctly different output profiles, and vice versa.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataMost injection sites were entirely restricted to the cortical gray matter; in a few there was minor encroachment into immediately subjacent white matter.
“While most of the injection sites were entirely restricted to the cortical gray matter, in a few there was minor encroachment into immediately subjacent white matter (see the Materials and Methods section and Supplementary Fig. 6).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Premisenone givenNearly a thousand of these projections had been previously described, but published data on interareal connection weights has been extremely limited.
“While nearly a thousand of these projections had been previously described, published data on interareal connection weights has been extremely limited.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductcitationThe study chose an alternative strategy of sampling histological sections at high density and across the entire hemisphere, capturing as much data as feasible and reducing variability related to brain morphology.
“We chose an alternative strategy that includes sampling histological sections at high density and across the entire hemisphere, thereby capturing as much data as are feasible and also reducing variability related to brain morphology (Falchier et al. 2002; Vezoli et al. 2004; Markov et al. 2011).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Study design and conductcitationThe retrograde tracers used show high sensitivity and restricted uptake zones, making it possible to verify their restriction to a single cortical area.
“We used retrograde tracers that show high sensitivity and restricted uptake zones, the latter making it possible to verify their restriction to a single cortical area (for a detailed discussion of the relative merits of the tracers used here, see Supplementary material in Markov et al. 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Markov et al. 2011 source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationnone givenOur analysis provides valuable inferences regarding statistical characteristics of the entire cortical connectivity graph.
“Our analysis also provides valuable inferences regarding statistical characteristics of the entire cortical connectivity graph.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAs more injections add links but not new nodes, they can only enhance these strong domination effects, confirming that the FIN is a dense graph in terms of binary connectivity.
“As more injections add links but not new nodes, they can only enhance these strong domination effects, confirming that the FIN is indeed a dense graph when considered in terms of binary connectivity.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningAssuming that non-injected nodes have the same average in-degree as the 29 injected nodes leads to a predicted FIN density of 62%, which is of the same order as the density of G29 × 29.
“We lack data on the in-links to nodes that were not injected, but we can assume that they are characterized by the same average in-degree as the 29 injected nodes. Assuming for the FIN (G91 × 91) leads to the prediction (62%), which is of the same order as the density for the edge-complete graph G29 × 29.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Nodes that were not injected have the same average in-degree as the 29 injected nodes.
May combine two claims.
Study design and conductreasoningBoth G29 × 91 and G29 × 29 contain complete information about the status of their edges and would not be influenced by injections into additional areas elsewhere in the cortex.
“Both G29 × 91 and G29 × 29 contain complete information about the status of their edges and would not be influenced by injections into additional areas elsewhere in the cortex.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIn such cases, a small proportion of labeled neurons may have arisen from fibers of passage.
“In such cases, a small proportion of labeled neurons may have arisen from fibers of passage.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenExisting databases do not provide reliable estimates of the density of the network of cortical areas, nor has there been a concerted effort to extrapolate from existing data to the connectivity of the full interareal network.
“Existing databases do not provide reliable estimates of the density of the network of cortical areas, nor has there been a concerted effort to extrapolate from the existing data to the connectivity of the full interareal network (FIN).”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationThe M132 parcellation has been mapped to the macaque F99 atlas, which contains accurate surface maps for 15 other published parcellations, enabling detailed cross-parcellation comparisons.
“Nevertheless, our M132 parcellation has been mapped to the macaque F99 atlas, which contains accurate surface maps for 15 other published parcellations (Van Essen, Glasser, Dierker, Harwell 2011), thereby enabling detailed cross-parcellation comparisons.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Van Essen, Glasser, Dierker, Harwell 2011
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisereasoningFew experimental studies have directly tested unidirectionality because it is technically not easy.
“However, few experimental studies have directly tested unidirectionality because it is technically not easy.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningShifting borders could reduce the NFP, but it would mean abandoning a consistent atlas with an objective parcellation for one where area dimensions are dictated by labeling patterns.
“So while shifting borders could reduce the NFP, it would mean that we abandon a consistent atlas with an objective parcellation for one where area dimensions are dictated by labeling patterns.”
Quote in the paperSubstantial claim- Rests on an assumption: The areal parcellation/atlas used is consistent and objective enough to define connections and compare across injections.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe connection strength values might vary for other macaque species, including the rhesus macaque.
“We also note that the connection strengths reported here are (except in one case, see Supplementary Table 2) specifically for M. fascicularis; the values might vary for other macaque species, including the widely studied rhesus macaque (M. mulatta).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenSome of the variability may be attributable to imperfect delineation of areal boundaries for the various source areas.
“Some of the variability may be attributable to imperfect delineation of areal boundaries for the various source areas.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenWe scrutinized the entire hemisphere for labeled cells at high magnification and at close section intervals (240 μm).
“One factor is that we scrutinized the entire hemisphere for labeled cells at high magnification and at close section intervals (240 µm).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious reports provided scant evidence of unidirectional connectivity in the cortex.
“Previous reports provided scant evidence of unidirectional connectivity in the cortex (Felleman and Van Essen 1991).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Felleman and Van Essen 1991 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenSome connections reported as NFP might reflect cross-study differences in the designation of areal boundaries in individual cases.
“Finally, as already noted, some connections we report as NFP might reflect cross-study differences in the designation of areal boundaries in individual cases.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThere are genuine individual differences in connection strength that, along with the lognormal distribution, are a characteristic feature of interareal pathways.
“For the above reasons, we consider it highly likely that there are genuine individual differences in connection strength that along with the lognormal distribution is a characteristic feature of interareal pathways.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationThe caution about internal heterogeneity also applies to other topographically organized sensory-motor areas and might apply to higher-order areas.
“This cautionary note also applies to other topographically organized sensory-motor areas, and it might apply to higher-order areas as well (Burman et al. 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Burman et al. 2011
Not checked in the free run.
May combine two claims.
PremisecitationThe error in testing reciprocity cannot at present be overcome given that diffusion tensor imaging and tractography do not detect direction and existing tracing techniques, including BDA and labeled amino acids, show bidirectional transport.
“However, this error cannot at present be overcome given that diffusion tensor imaging and tractography do not detect direction and existing tracing techniques, including BDA and labeled amino acids, show bidirectional transport (LeVay and Sherk 1983; da Costa and Martin 2011).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites LeVay and Sherk 1983
Not checked in the free run.
- cites da Costa and Martin 2011
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLow cortical matrix densities have been reported in estimates based on large data sets compiled across studies, with Young (1993) reporting a density of ∼15%.
“Low cortical matrix densities have been reported in estimates based on large data sets compiled across studies (e.g. Young 1993, who reported a density of ∼15%).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Young 1993
Not checked in the free run.
May combine two claims.
InterpretationreasoningA reduction in connectivity could be associated with lower weights of long-range pathways with respect to local connectivity or with a reduction in the number of pathways.
“A reduction in connectivity could be associated with lower weights of long-range pathways with respect to local connectivity or with a reduction in the number of pathways (at least in relation to the total number of area-to-area combinatorial possibilities).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataGraph theoretic analysis allowed us to infer that the binary FIN is dense and that this is therefore a characteristic feature of the macaque cortex.
“Further graph theoretic analysis allowed us to infer that the binary FIN is dense and that this is therefore a characteristic feature of the macaque cortex.”
Quote in the paperSubstantial claim- Rests on an assumption: The areal parcellation/atlas used is consistent and objective enough to define connections and compare across injections.
Classified as probably not a substantial claim.
InterpretationcitationThe combination of weight and distance of connections may be important for understanding large-scale temporal dynamics.
“The combination of weight “and” distance of connections may be important for understanding large-scale temporal dynamics (Honey et al. 2007).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Honey et al. 2007
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIncreasing brain size has been suggested to result in decreased connectivity.
“Increasing brain size has been suggested to result in decreased connectivity (Ringo 1991).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ringo 1991
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationThe wide range of densities might reflect either differences in thresholding or technical difficulties.
“The wide range of densities might reflect either differences in thresholding or technical difficulties (Jones 2010; Jbabdi and Johansen-Berg 2011; Behrens and Sporns 2012; Van Essen and Ugurbil 2012).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Jones 2010
Not checked in the free run.
- cites Jbabdi and Johansen-Berg 2011
Not checked in the free run.
- cites Behrens and Sporns 2012
Not checked in the free run.
May combine two claims.
InterpretationcitationHigh densities are necessarily accompanied by a short average path length across the cortex and will impact on large-scale models of cortical networks.
“High densities are necessarily accompanied by a short average path length across the cortex and will impact on large-scale models of cortical networks (Young 1993; Sporns et al. 2000; Honey et al. 2007).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Young 1993
Not checked in the free run.
- cites Sporns et al. 2000
Not checked in the free run.
- cites Honey et al. 2007
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe human cerebral cortex probably contains a maximum of 150-200 cortical areas compared with the estimated maximum of 130-140 in the macaque.
“The human cerebral cortex is 9-fold greater in surface area than the macaque and probably contains a maximum of 150–200 cortical areas compared with the estimated maximum of 130–140 in the macaque (Van Essen, Glasser, Dierker, Harwell 2011; Van Essen, Glasser, Dierker, Harwell, Coalson 2011).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Van Essen, Glasser, Dierker, Harwell 2011
Not checked in the free run.
- cites Van Essen, Glasser, Dierker, Harwell, Coalson 2011
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationWhile there is evidence for a good correlation between functional connectivity and strong short-distance connections, this is not the case for the more numerous long-distance connections.
“For instance, while there is evidence for a good correlation between functional connectivity and strong short-distance connections, this is not the case for the more numerous long-distance connections (Honey et al. 2009; Adachi et al. 2012).”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe human cerebral cortex is 9-fold greater in surface area than the macaque.
“The human cerebral cortex is 9-fold greater in surface area than the macaque and probably contains a maximum of 150–200 cortical areas compared with the estimated maximum of 130–140 in the macaque (Van Essen, Glasser, Dierker, Harwell 2011; Van Essen, Glasser, Dierker, Harwell, Coalson 2011).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Van Essen, Glasser, Dierker, Harwell 2011
Not checked in the free run.
- cites Van Essen, Glasser, Dierker, Harwell, Coalson 2011
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationSparse long-distance connections, conceivably via nonlinear phenomena such as "contraction dynamics", may have disproportionate effects relative to the far more dense intrinsic and intermediate-distance connections.
“Sparse long-distance connections, conceivably via nonlinear phenomena such as “contraction dynamics”, may have disproportionate effects relative to the far more dense intrinsic and intermediate-distance connections (Wang and Slotine 2005).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wang and Slotine 2005
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationA recent modeling study showed that including anatomical directionality and weight led to more realistic biologically modeled brain dynamics.
“A recent modeling study showed that including anatomical directionality and weight led to more realistic biologically modeled brain dynamics (Knock et al. 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Knock et al. 2009
Not checked in the free run.
The authors state this as an assumption.
A negative binomial model with similar dispersion is valid for injections in other cortical regions.
“By extension, we assume that a negative binomial model with similar dispersion should be valid for injections in other regions.”
The paper relies on this without support.
Use of an alternative macaque cortical parcellation would have had little effect on the main conclusion.
“However, we believe that use of an alternative parcellation would have had little effect on our main conclusion (see the Discussion section).”
The authors state this as an assumption.
Nodes that were not injected have the same average in-degree as the 29 injected nodes.
“We lack data on the in-links to nodes that were not injected, but we can assume that they are characterized by the same average in-degree as the 29 injected nodes.”
The paper relies on this without support.
The areal parcellation/atlas used is consistent and objective enough to define connections and compare across injections.
“This underscores the importance of accurately specifying the location of the injection sites and the labeled neurons, in the context of a consistent database as provided in the present study (cf. Fig. 7 and see Supplementary Figs 2 and 4).”
“So while shifting borders could reduce the NFP, it would mean that we abandon a consistent atlas with an objective parcellation for one where area dimensions are dictated by labeling patterns.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
For mammals, tracer injection studies have mapped the axonal projections between brain regions of mouse and macaque.
“For mammals, tracer injection studies have mapped the axonal projections between brain regions of mouse74,75 and macaque76.”
From Neuronal wiring diagram of an adult brain (2024) · cites this paper as [76]
In primate cortex, single tracer injections reliably predict mean values obtained from repeated injections into the same source.
“In primate cortex, single tracer injections were also found to reliably predict mean values obtained from repeated injections into the same source24.”
From A mesoscale connectome of the mouse brain (2014) · cites this paper as [24]
This extends previously reported findings that cortico-cortical connections follow a lognormal distribution in primate and mouse cortex to the entire mouse brain.
“This extends previously reported findings that cortico-cortical connections follow a lognormal distribution in the primate24,25 and mouse cortex26 to the entire mouse brain.”
From A mesoscale connectome of the mouse brain (2014) · cites this paper as [24]
Connectivity strengths span a greater than 10^5-fold range across the brain.
“First, connectivity strengths span a greater than 105-fold range across the brain (Extended Data Fig. 7), suggesting that quantitative descriptions of connectivity must be considered for understanding neural network properties24.”
From A mesoscale connectome of the mouse brain (2014) · cites this paper as [24]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Mean in-degree does not match the reported pathway total
MinorAcross 29 target areas, 1,615 pathways imply a mean of about 55.7 source areas per target, rather than the 57.4 reported for the in-degree distribution.
Reported 57.4 · recomputed 55.689655
“Figure: Figure 12. In-degree distribution. The number of areas projecting to each of the target areas of this study. Horizontal dashed line indicates the mean in-degree 57.4.”
Visual-cortex link density is miscalculated
MinorThe stated 305 pathways out of 992 possible pathways give a density of 30.7%, not 32%.
Reported 32 · recomputed 30.745968
“305 known projections out of 992 possible pathways, giving a link density (or graph density) of 32%”
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The organization of dorsal frontal cortex in humans and macaques
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Self-citationUnderstanding brain networks and brain organization
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“global level, Markov, Kennedy and colleagues injected a retrograde tracer into 29 cortical areas distributed relatively evenly across the macaque cortex [40], allowing them to determine connectivity for a complete 29 × 29 connectivity graph.”
BackgroundAn anatomical substrate for integration among functional networks in human cortex
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Roles of supplementary motor areas in auditory processing and auditory imagery
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Connectotyping: Model Based Fingerprinting of the Functional Connectome
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Self-citationThe importance of being hierarchical
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Mapping Structural Connectivity Using Diffusion <scp>MRI</scp> : Challenges and Opportunities
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Network structure shapes spontaneous functional connectivity dynamics
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Neuronal wiring diagram of an adult brain
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Developmental mechanisms channeling cortical evolution
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Reentry: a key mechanism for integration of brain function
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Validation of tractography: Comparison with manganese tracing
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The Brain Analysis Library of Spatial maps and Atlases (BALSA) database
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- Authors
- Markov, N. T., Ercsey-Ravasz, M. M., Ribeiro Gomes, A. R., Lamy, C., Magrou, L., Vezoli, J., Misery, P., Falchier, A., Quilodran, R., Gariel, M. A., Sallet, J., Gamanut, R., Huissoud, C., Clavagnier, S., Giroud, P., Sappey-Marinier, D., Barone, P., Dehay, C., Toroczkai, Z., Knoblauch, K., Van Essen, D. C., & Kennedy, H.
- Affiliations
- Lyon 1 Université (FR)
- University of Notre Dame (US)
- Corresponding author
- Kennedy, H.
- ORCID
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-09-25
- Volume
- 24
- Issue
- 1
- Pages
- 17-36
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC3862262
- OpenAlex
- W2112151839
- Semantic Scholar
- 9d958a7205555e1c051b2e3bd05d99d61d360ba4
- Cited by
- 857
- References
- 118
- Citations by year
- 2026: 43 · 2025: 74 · 2024: 70 · 2023: 75 · 2022: 58 · 2021: 77 · 2020: 87 · 2019: 64 · 2018: 65 · 2017: 61 · 2016: 63 · 2015: 50 · 2014: 36 · 2013: 32 · 2012: 2
- FWCI
- 19.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Cerebral Cortex (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- Max Planck Institute for Plasma Physics (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- National Science Foundation (0826958)
- Agence Nationale de la Recherche (ANR-05)
- National Institutes of Health
- National Institute of Mental Health (R01 MH60974, R01MH060974)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- retrograde tracing, directed connectivity, lognormal distribution
- MeSH terms
- Animals, Brain Mapping, Cerebral Cortex, Image Processing, Computer-Assisted, Macaca fascicularis, Macaca mulatta, Models, Neurological, Neural Pathways, Diffusion Magnetic Resonance Imaging, Neuronal Tract-Tracers, Neuroimaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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