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Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas
Open accessPublished version of a preprint
Abstract
Layer 4 (L4) of mammalian neocortex plays a crucial role in cortical information processing, yet a complete census of its cell types and connectivity remains elusive. Using whole-cell recordings with morphological recovery, we identified one major excitatory and seven inhibitory types of neurons in L4 of adult mouse visual cortex (V1). Nearly all excitatory neurons were pyramidal and all somatostatin-positive (SOM + ) non-fast-spiking interneurons were Martinotti cells. In contrast, in somatosensory cortex (S1), excitatory neurons were mostly stellate and SOM + interneurons were non-Martinotti. These morphologically distinct SOM + interneurons corresponded to different transcriptomic cell types and were differentially integrated into the local circuit with only S1 neurons receiving local excitatory input. We propose that cell type specific circuit motifs, such as the Martinotti/pyramidal and non-Martinotti/stellate pairs, are used across the cortex as building blocks to assemble cortical circuits.
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TL;DR
In adult mouse layer 4 (L4), visual cortex (V1) is dominated by pyramidal excitatory neurons and somatostatin-positive (SOM+) Martinotti cells, whereas somatosensory cortex (S1) is dominated by spiny stellate excitatory neurons and SOM+ non-Martinotti cells. These area-specific cell types correspond to different transcriptomic types and differ in local excitatory-to-SOM+ connectivity.
Key findings
- In V1 L4, 99.1% of recovered excitatory neurons were pyramidal (573/578) and only 0.9% were spiny stellate (5/578); among Viaat-labeled interneurons, SOM+ non-fast-spiking cells were Martinotti cells (20.1%, 47/234), with no non-Martinotti cells found.
- In S1 L4, 76.6% of recovered spiny neurons were spiny stellate (85/111), and 96.2% of recovered SOM+ neurons were non-Martinotti cells (76/79); both differences from V1 were significant (Fisher’s exact test, p < 0.0001).
- Patch-seq mapping showed L4 SOM+ cells mostly assigned to Sst Calb2 Pdlim in V1 and Sst Hpse Cbln4 in S1 (S1: 27/29 Hpse; V1: 21/33 Calb2; p < 0.0001), with V1 Hpse cells electrophysiologically intermediate between V1 Calb2 Martinotti cells and S1 non-Martinotti cells.
- Local excitatory input to SOM+ cells was present in S1 (12.5%, 8/64) but absent in V1 (0%, 0/142; p = 0.0002); SOM+ to excitatory connection probabilities were high in both areas (21.1%, 30/142 in V1; 26.6%, 17/64 in S1), while excitatory-excitatory connectivity was low (1.0%, 7/701 in V1; 2.5%, 3/122 in S1).
Methods
- Whole-cell patch-clamp recordings with post-hoc morphological recovery in adult mice (V1: n = 129 mice, median age 71 days; 1174 recovered neurons: 578 excitatory, 596 inhibitory), using Cre reporter lines including Viaat-Cre/Ai9, SOM-Cre/Ai9, PV-Cre/Ai9, VIP-Cre/Ai9, and Scnn1a-Cre/Ai9.
- Simultaneous multi-cell recordings up to eight cells to measure unitary synaptic connections, paired-pulse ratios, and gap-junction coupling, with inter-soma distances generally <150 µm.
- Patch-seq combined patch-clamp electrophysiology with single-cell RNA sequencing (V1 L4 n = 42, S1 L4 n = 35 after QC, plus L5 cells), mapped to the Tasic et al. transcriptomic atlas; morphological and electrophysiological features were analyzed with regularized logistic regression, t-SNE, and sparse reduced-rank regression.
Limitations
- Stated: slice electrophysiology can sever neuronal structures, potentially underestimating morphology and connectivity; somatic recordings may fail to detect synapses formed in distal dendrites; low classification accuracy for some morphological pairs (e.g., SBC/HBC) may reflect insufficient sample size.
- Stated: initial S1 connectivity measurements did not ensure cells were within the same barrel, though a separate intra-barrel experiment was performed.
- Evident: transcriptomic profiling was limited to SOM+ neurons, not all L4 cell types; morphological classification relied on expert-defined types with some overlapping classes; Patch-seq sample sizes were modest, and the age range was broad (55–330 days in V1 recordings).
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Claims the paper makes
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- Findingown data
All labeled neurons recorded in Scnn1a-Cre/Ai9 mice (n = 5) were morphologically confirmed as pyramidal neurons (100%, 30/30).
“all labeled neurons recorded in Scnn1a-Cre/Ai9 mice (n = 5), a transgenic mouse line that preferentially labels excitatory neurons in L436,37, were morphologically confirmed as PYRs (100%, 30/30).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [36] Xue, M., Atallah, B. V. & Scanziani, M. Equalizing excitation–inhibition ratios across visual cortical neurons. Nature 511, 596–600 (2014). source
- cites [37] Harris, J. A. et al. Anatomical characterization of Cre driver mice for neural circuit mapping and manipulation. Front. Neural Circuits 8, 76 (2014). source
- Findingown data
The SBC/HBC pair showed only about 0.6 classification accuracy.
“However, SBC/HBC pair showed only ~0.6 classification accuracy.”
Quote in the paperNot a substantial claim - Findingown data
Pairwise classification using electrophysiological features showed an average accuracy between fast-spiking types of only 0.67, while the average accuracy across all other pairs was 0.98.
“the average cross-validated classification accuracy between the FS types was only 0.67, while the average accuracy across all other pairs was 0.98.”
Quote in the paperNot a substantial claim - Findingown data
Most electrophysiological features exhibited strong differences between cell types.
“Most features exhibited strong differences between cell types (Supplementary Fig. 5).”
Quote in the paperSubstantial claim - Findingown data
In S1 L4, 76.6% (85/111) of recovered spiny neurons lacked a clear apical dendrite and were classified as spiny stellate cells, while the remaining 23.4% were pyramidal cells.
“We found that indeed 76.6% (85/111) of the recovered spiny neurons did not have a clear apical dendrite and were thus classified as spiny stellate cells (Fig. 3b), while the remaining 23.4% were pyramidal cells.”
Quote in the paperSubstantial claim
- Findingown data
Unlike V1, spiny stellate cells are the predominant excitatory population in L4 of adult mouse S1 (Fisher's exact test p < 0.0001; 85/111 vs. 5/578).
“This confirms that, unlike in V1, spiny stellate cells are the predominant excitatory population in L4 of adult mouse S1 (Fisher’s exact test for difference in the fraction of spiny stellate cells between V1 and S1: p < 0.0001; 85/111 vs. 5/578).”
Quote in the paperSubstantial claim - Findingown data
Neurogliaform cells (11.5%, 27/234) in V1 L4 were characterized by a very thin axon highly ramifying around the soma and a late-spiking firing pattern with a large action potential width.
“The last type were neurogliaform cells (NGCs; 11.5%, 27/234), characterized by a very thin axon highly ramifying around the soma and a late-spiking firing pattern with a large AP width.”
Quote in the paperNot a substantial claim - Findingown data
Only five of 578 (0.9%) excitatory neurons in V1 L4 were classified as spiny stellate cells.
“Only five (0.9%) of the excitatory neurons were classified as spiny stellate cells”
Quote in the paperSubstantial claim - Findingown data
Non-Martinotti cells were in between Martinotti cells and fast-spiking cells in firing patterns and intrinsic membrane properties.
“Comparison of electrophysiological features between MCs, NMCs, and FS cells revealed that NMCs were in between MCs and FS cells in terms of their firing patterns and intrinsic membrane properties (Supplementary Figs. 5, 6).”
Quote in the paperNot a substantial claim - Findingown data
All unlabeled L4 neurons (n = 133) were morphologically confirmed as excitatory neurons.
“all unlabeled L4 neurons (n = 133) were morphologically confirmed as excitatory neurons”
Quote in the paperSubstantial claim - Findingown data
In V1 L4 of adult mice, seven inhibitory types of neurons were identified using whole-cell recordings with morphological recovery.
“Using whole-cell recordings with morphological recovery, we identified one major excitatory and seven inhibitory types of neurons in L4 of adult mouse visual cortex (V1).”
- Also stated in: § Morphological cell types in L4 of adult mouse visual cortex · plain
“We identified seven GABAergic cell types (Fig. 1a) based on their morphology, following a widely used classification scheme based on the axonal geometry and projection patterns29,39–41.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [29] Jiang, X. et al. Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350, aac9462–aac9462 (2015). source
- cites [39] Markram, H. et al. Interneurons of the neocortical inhibitory system. Nat. Rev. Neurosci. 5, 793–807 (2004). source
- cites [40] Petilla Interneuron Nomenclature Group. et al. Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex. Nat. Rev. Neurosci. 9, 557–568 (2008). source
- cites [41] DeFelipe, J. et al. New insights into the classification and nomenclature of cortical GABAergic interneurons. Nat. Rev. Neurosci. 14, 202–216 (2013). source
- Also stated in: § Morphological cell types in L4 of adult mouse visual cortex · plain
- Findingown data
Almost all labeled L4 neurons recorded from Viaat-Cre/Ai9 mice (95.5%, 234/245) were morphologically confirmed as interneurons.
“Almost all labeled L4 neurons recorded from these mice (95.5%, 234/245) were morphologically confirmed as interneurons.”
Quote in the paperSubstantial claim - Findingown data
For input resistance and membrane time constant, V1 cells belonging to the Hpse type had values more similar to S1 cells than to V1 cells from the Calb2 type.
“for two of them (input resistance and membrane time constant) V1 cells belonging to the Hpse type had values more similar to the S1 cells than to the V1 cells from the Calb2 type (Fig. 4c).”
Quote in the paperSubstantial claim - Findingown data
V1 L4 pyramidal neurons did not show complex dendritic arborization in L1, differing from typical L5 pyramidal neurons which generally have a prominent tuft in L1.
“These neurons did not show a complex dendritic arborization in L1, differing from typical layer 5 (L5) pyramidal neurons, which generally have a prominent tuft in L133–35”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [33] Ramaswamy, S. & Markram, H. Anatomy and physiology of the thick-tufted layer 5 pyramidal neuron. Front. Cell. Neurosci. 9, 233 (2015).
- cites [34] Romand, S., Wang, Y., Toledo-Rodriguez, M. & Markram, H. Morphological development of thick-tufted layer V pyramidal cells in the rat somatosensory cortex. Front. Neuroanat. 5, 5 (2011). source
- cites [35] Kim, E. J., Juavinett, A. L., Kyubwa, E. M., Jacobs, M. W. & Callaway, E. M. Three types of cortical layer 5 neurons that differ in brain-wide connectivity and function. Neuron 88, 1253–1267 (2015). source
- Findingown data
Sparse reduced-rank regression analysis supports that V1 Hpse Martinotti cells are in between Calb2 Martinotti cells and non-Martinotti cells in electrophysiology.
“This analysis supports our conclusion that V1 Hpse MCs are in between Calb2 MCs and NMCs in terms of electrophysiology.”
Quote in the paperSubstantial claim - Findingown data
The measured intra-barrel connection probability (5.2%, 5/104) was larger than the value reported above (2.5%, 3/122).
“which was larger than the value reported above (2.5%, 3/122)”
Quote in the paperNot a substantial claim - Findingown data
Both estimates of intra-barrel connectivity (5.2% and 2.5%) are substantially lower than existing estimates of intra-barrel connectivity obtained in young animals (30-35%).
“Both estimates are substantially lower than the existing estimates of intra-barrel connectivity obtained in young animals (30–35%)3,4,55”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [3] Feldmeyer, D., Egger, V., Lübke, J. & Sakmann, B. Reliable synaptic connections between pairs of excitatory layer 4 neurones within a single ‘barrel’ of developing rat somatosensory cortex. J. Physiol. 521, 169–190 (1999). source
- cites [4] Petersen, C. C. H. & Sakmann, B. The excitatory neuronal network of rat layer 4 barrel cortex. J. Neurosci. 20, 7579–7586 (2000). source
- cites [55] Lefort, S., Tomm, C., Floyd Sarria, J.-C. & Petersen, C. C. H. The excitatory neuronal network of the C2 barrel column in mouse primary somatosensory cortex. Neuron 61, 301–316 (2009). source
- Findingcitation
In V1, axons of L4 MCs primarily projected to L1 where they are potentially able to synapse onto the tuft of L4 PYRs.
“In V1, axons of L4 MCs primarily projected to L1 where they are potentially able to synapse onto the tuft of L4 PYRs, similar to the pattern described in other cortical layers58,59.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [58] Larkum, M. A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex. Trends Neurosci. 36, 141–151 (2013). source
- cites [59] Lovett-Barron, M. et al. Regulation of neuronal input transformations by tunable dendritic inhibition. Nat. Neurosci. 15, S1–S3 (2012). source
- Findingown data
We described eight morphological cell types in L4 of primary visual cortex (V1) in adult mice.
“We described eight morphological cell types in L4 of primary visual cortex (V1) in adult mice”
Quote in the paperSubstantial claim - Findingown data
Certain connectivity patterns between excitatory and SOM+ neurons are very similar across V1 and S1 L4.
“We found that certain connectivity patterns between them are very similar across both areas (Fig. 5).”
Quote in the paperSubstantial claim - Findingown data
The measured connection probability for intra-barrel connectivity of excitatory neurons in S1 L4 was 5.2% (5/104).
“The measured connection probability was 5.2% (5/104)”
Quote in the paperSubstantial claim - Findingown data
L5 SOM+ cells had electrophysiological features similar to L4 Martinotti cells.
“In agreement with that, we found that L5 SOM+ cells had electrophysiological features similar to L4 MCs (Fig. 4d).”
Quote in the paperNot a substantial claim - Findingown data
Both Martinotti cells in V1 and non-Martinotti cells in S1 were similarly often interconnected by gap junctions (MCs: 23.5%, 8/34; NMCs: 30.7%, 8/26).
“both MCs in V1 and NMCs in S1 were similarly often interconnected by gap junctions (MCs: 23.5%, 8/34; NMCs: 30.7%, 8/26; Supplementary Fig. 8).”
Quote in the paperNot a substantial claim - Findingown data
Nearly all excitatory neurons in V1 L4 are pyramidal cells.
“We found that nearly all excitatory neurons in V1 L4 are pyramidal cells”
Quote in the paperSubstantial claim - Findingnone given
Both MCs in V1 and NMCs in S1 avoided connecting to each other (apart from forming gap junctions).
“both MCs in V1 and NMCs in S1 avoided connecting to each other (apart from forming gap junctions)”
Quote in the paperSubstantial claim - Findingown data
Some cells assigned to the Tac1 and Mme types had a distinct fast-spiking-like firing pattern, different from Martinotti cells and non-Martinotti cells but not as sustained as the proper fast-spiking pattern.
“this analysis also showed that some of the cells assigned to the Tac1 and Mme types had a distinct fast-spiking-like firing pattern, which was different from firing patterns of MCs and NMCs (but was not as sustained as the proper FS pattern).”
Quote in the paperNot a substantial claim - Findingown data
The connection probability between pyramidal neurons in V1 L4 monotonically decreased with age: from 13.2% in P15-20 (15/114) to 5.1% in P30-40 (8/156) to 1.0% (7/701) for P55+ mice with median age P71.
“We found that the connection probability monotonically decreased with age (Supplementary Fig. 11): from 13.2% in P15-20 (15/114) to 5.1% in P30-40 (8/156) to 1.0% (7/701) reported above for the P55+ mice with median age P71.”
Quote in the paperSubstantial claim - Findingown data
The axonal morphologies of MCs in V1 and NMCs in S1 matched the respective dendritic morphologies of their excitatory neuronal targets.
“the axonal morphologies of these two cell types seemed to match the respective dendritic morphologies of their excitatory neuronal targets.”
Quote in the paperSubstantial claim - Findingown data
Connection probabilities between SOM+ cells in L4 were low in both V1 (0%, 0/68) and S1 (3.8%, 2/52).
“Second, the connection probabilities between SOM+ cells were also low in both areas (0%, 0/68 in V1; 3.8%, 2/52 in S1).”
Quote in the paperNot a substantial claim - Findingown data
SOM+ MCs in V1 L4 and SOM+ NMCs in S1 L4 correspond to two different transcriptomic cell types (Sst Calb2 Pdlim and Sst Hpse Cbln4 respectively) previously identified in a large-scale transcriptomic cell atlas.
“Using Patch-seq, we showed that SOM+ MCs in V1 L4 and SOM+ NMCs in S1 L4 correspond to two different transcriptomic cell types (Sst Calb2 Pdlim and Sst Hpse Cbln4 respectively) previously identified in a large-scale transcriptomic cell atlas25.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [25] Tasic, B. et al. Shared and distinct transcriptomic cell types across neocortical areas. Nature 563, 72–78 (2018). source
- Findingown data
Connection probabilities among excitatory cells in L4 were low in both V1 (1.0%, 7/701) and S1 (2.5%, 3/122).
“First, the connection probabilities among excitatory cells were low in both areas (1.0%, 7/701 in V1; 2.5%, 3/122 in S1).”
Quote in the paperNot a substantial claim - Findingown data
We described the connectivity between the three most abundant cell types in V1 L4.
“as well as the connectivity between the three most abundant cell types.”
Quote in the paperSubstantial claim - Findingown data
The difference in cellular architecture between sensory cortical areas is not confined to excitatory neurons, but extends to somatostatin-positive interneurons and their connectivity.
“here we demonstrated that the difference is not confined to the excitatory neurons, but extends to the somatostatin-positive interneurons and their connectivity.”
Quote in the paperSubstantial claim - Findingown data
Around a third of MCs from V1 had transcriptomic profile mapping to the Sst Hpse Cbln4 type.
“we found that around a third of MCs from V1 had transcriptomic profile mapping to this type.”
Quote in the paperSubstantial claim - Findingown data
We did not identify any NMCs in V1.
“Even though we did not identify any NMCs in V1”
Quote in the paperSubstantial claim - Findingown data
Connection probabilities from SOM+ cells to excitatory cells in L4 were high in both V1 (21.1%, 30/142) and S1 (26.6%, 17/64).
“Third, the connection probabilities from SOM+ cells to excitatory cells were high in both areas (21.1%, 30/142 in V1, 26.6%, 17/64 in S1).”
Quote in the paperSubstantial claim - Findingown data
In S1 L4, non-Martinotti cells received facilitating synaptic connections from local excitatory neurons (12.5%, 8/64), in line with previous studies in young rodents.
“In S1, NMCs received facilitating synaptic connections from local excitatory neurons (12.5%, 8/64), in line with previous studies in young rodents15,17.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [15] Xu, H., Jeong, H.-Y., Tremblay, R. & Rudy, B. Neocortical somatostatin-expressing GABAergic interneurons disinhibit the thalamorecipient layer 4. Neuron 77, 155–167 (2013). source
- cites [17] Beierlein, M., Gibson, J. R. & Connors, B. W. Two dynamically distinct inhibitory networks in layer 4 of the neocortex. J. Neurophysiol. 90, 2987–3000 (2003). source
- Findingown data
Non-fast-spiking SOM+ neurons in V1 L4 are predominantly Martinotti cells.
“Our data indicate that non-fast-spiking SOM+ neurons in V1 L4 are predominantly Martinotti cells”
Quote in the paperSubstantial claim - Findingcitation
The low connection probability between PYRs in V1 L4 is consistent with findings in V1 L2/3 and V1 L5 of adult mice.
“which was consistent with the findings in V1 L2/3 and V1 L5 of adult mice29”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Jiang, X. et al. Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350, aac9462–aac9462 (2015). source
- Findingown data
The connection probability between PYRs in V1 L4 is much lower than what was reported in young animals.
“but much lower than what was reported in young animals65,66.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [65] Jiang, X. et al. Response to Comment on ‘Principles of connectivity among morphologically defined cell types in adult neocortex’. Science 353, 1108 (2016). source
- cites [66] Barth, A. et al. Comment on ‘Principles of connectivity among morphologically defined cell types in adult neocortex’. Science 353, 1108 (2016). source
- Findingown data
We did not detect any connections from L4 PYRs to L4 MCs in V1.
“we did not detect any connections from L4 PYRs to L4 MCs in V1.”
Quote in the paperSubstantial claim - Findingown data
We revealed another striking cellular difference between V1 and S1 of adult mice: morphology of L4 SOM+ interneurons.
“and revealed another striking cellular difference between V1 and S1 of adult mice: morphology of L4 SOM+ interneurons.”
Quote in the paperSubstantial claim - Findingown data
In each area, the morphology of SOM+ interneurons matched that of the excitatory neurons.
“In each area, the morphology of SOM+ interneurons matched that of the excitatory neurons”
Quote in the paperSubstantial claim - Findingown data
The connection probability between PYRs in V1 L4 is very low.
“We found very low connection probability between PYRs in V1 L4”
Quote in the paperSubstantial claim - Findingown data
Four PV+ types could not be distinguished on the basis of their firing as they were all fast-spiking.
“four PV+ types could not be distinguished on the basis of their firing as they were all fast-spiking.”
Quote in the paperSubstantial claim - Findingown data
The recovered morphology and EPSP vs. IPSP always matched.
“Indeed, the recovered morphology (i.e., pyramidal neurons vs. interneurons) and EPSP vs. IPSP always matched.”
Quote in the paperSubstantial claim - Findingown data
SOM+ cells received inputs from local excitatory neurons in S1 L4.
“while we found that SOM+ cells received inputs from local excitatory neurons in S1 L4”
Quote in the paperSubstantial claim - Findingown data
We confirmed the difference in morphology of L4 principal cells between V1 and S1 of adult mice.
“In conclusion, we confirmed the difference in morphology of L4 principal cells”
Quote in the paperSubstantial claim - Findingown data
The difference in connection probability among excitatory neurons is due to the age of the animal.
“We directly showed that this difference in connection probability among excitatory neurons is due to the age of the animal (Supplementary Fig. 11).”
Quote in the paperSubstantial claim - Findingown data
One of the SOM+ t-types (Sst Hpse Cbln4) exhibited markedly different morphology and electrophysiology depending on the cortical area.
“we found that one of the SOM+ t-types (Sst Hpse Cbln4) exhibited markedly different morphology and electrophysiology depending on the cortical area.”
Quote in the paperSubstantial claim - Premisecitation
Spiny stellate cells are the dominant excitatory cell type in L4 of primary somatosensory cortex (S1) of young rats and mice.
“Spiny stellate cells have been reported to be the dominant excitatory cell type, both in rat2–6 and in mouse7”
- Also stated in: § V1 differs from S1 in major L4 cell types · boosted
“spiny stellate cells are known to be abundant in S1 L4 of rats and mice2–8”
Quote in the paperSubstantial claim0 of 7 sources checked- cites [2] Simons, D. J. & Woolsey, T. A. Morphology of Golgi-Cox-impregnated barrel neurons in rat SmI cortex. J. Comp. Neurol. 230, 119–132 (1984). source
- cites [3] Feldmeyer, D., Egger, V., Lübke, J. & Sakmann, B. Reliable synaptic connections between pairs of excitatory layer 4 neurones within a single ‘barrel’ of developing rat somatosensory cortex. J. Physiol. 521, 169–190 (1999). source
- cites [4] Petersen, C. C. H. & Sakmann, B. The excitatory neuronal network of rat layer 4 barrel cortex. J. Neurosci. 20, 7579–7586 (2000). source
- cites [5] Schubert, D., Kötter, R., Zilles, K., Luhmann, H. J. & Staiger, J. F. Cell type-specific circuits of cortical layer IV spiny neurons. J. Neurosci. 23, 2961–2970 (2003). source
- cites [6] Staiger, J. F. Functional diversity of layer IV spiny neurons in rat somatosensory cortex: quantitative morphology of electrophysiologically characterized and biocytin labeled cells. Cereb. Cortex 14, 690–701 (2004). source
- cites [7] Woolsey, T. A., Dierker, M. L. & Wann, D. F. Mouse SmI cortex: qualitative and quantitative classification of golgi-impregnated barrel neurons. Proc. Natl Acad. Sci. USA 72, 2165–2169 (1975). source
- cites [8] Callaway, E. M. & Borrell, V. Developmental sculpting of dendritic morphology of layer 4 neurons in visual cortex: influence of retinal input. J. Neurosci. 31, 7456–7470 (2011). source
- Also stated in: § V1 differs from S1 in major L4 cell types · boosted
- Interpretationown data
The entire population of interneurons in L4 was labeled in the Viaat-Cre line.
“suggesting that the entire population of interneurons in L4 was labeled in this Cre line.”
Quote in the paperSubstantial claim - Interpretationown data
The morphologically distinct SOM+ interneurons in V1 and S1 corresponded to different transcriptomic cell types.
“These morphologically distinct SOM+ interneurons corresponded to different transcriptomic cell types”
Quote in the paperSubstantial claim - Interpretationown data
Cell type specific circuit motifs, such as the Martinotti/pyramidal and non-Martinotti/stellate pairs, are used across the cortex as building blocks to assemble cortical circuits.
“We propose that cell type specific circuit motifs, such as the Martinotti/pyramidal and non-Martinotti/stellate pairs, are used across the cortex as building blocks to assemble cortical circuits.”
Quote in the paperSubstantial claim - Interpretationown data
Electrophysiologically, V1 Hpse Martinotti cells are in between V1 Calb2 Martinotti cells and S1 non-Martinotti cells.
“This suggests that electrophysiologically, V1 Hpse MC cells are in between V1 Calb2 MC cells and S1 NMC cells.”
Quote in the paperSubstantial claim - Premisecitation
Excitatory cells in L4 of mouse and rat primary visual cortex (V1) are pyramidal, in contrast to L4 in S1.
“In line with this, it has been shown that excitatory cells in L4 of mouse and rat primary visual cortex (V1) are pyramidal27,28, in contrast to L4 in S1.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [27] Peters, A. & Kara, D. A. The neuronal composition of area 17 of rat visual cortex. I. The pyramidal cells. J. Comp. Neurol. 234, 218–241 (1985). source
- cites [28] Xu, X. et al. Primary visual cortex shows laminar-specific and balanced circuit organization of excitatory and inhibitory synaptic connectivity. J. Physiol. 594, 1891–1910 (2016). source
- Interpretationreasoning
The sharing of transcriptomic inhibitory types between V1 and ALM does not necessarily imply that morphological types are also all shared.
“Our findings indicate that this does not necessarily imply that morphological types are also all shared.”
Quote in the paperSubstantial claim - Premisecitation
The transcriptomic reference dataset contained many V1 cells from the Sst Hpse Cbln4 type.
“the transcriptomic reference dataset25 contained many V1 cells from the Sst Hpse Cbln4 type”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [25] Tasic, B. et al. Shared and distinct transcriptomic cell types across neocortical areas. Nature 563, 72–78 (2018). source
- Interpretationown data
The lower intra-barrel connectivity estimates are in line with the decrease in local excitatory connectivity with age discussed above for V1.
“which is in line with the decrease in local excitatory connectivity with age discussed above for V1 (Supplementary Fig. 11).”
Quote in the paperNot a substantial claim - Premisecitation
In S1 L4, almost all SOM+ neurons are non-Martinotti.
“which is in contrast to S1 L4 where almost all SOM+ neurons are non-Martinotti14,15.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [14] Ma, Y., Hu, H., Berrebi, A. S., Mathers, P. H. & Agmon, A. Distinct subtypes of somatostatin-containing neocortical interneurons revealed in transgenic mice. J. Neurosci. 26, 5069–5082 (2006). source
- cites [15] Xu, H., Jeong, H.-Y., Tremblay, R. & Rudy, B. Neocortical somatostatin-expressing GABAergic interneurons disinhibit the thalamorecipient layer 4. Neuron 77, 155–167 (2013). source
- Interpretationreasoning
The near absence of spiny stellate cells in V1 L4 of adult mice suggests a different developmental path in this case.
“The near absence of spiny stellate cells in V1 L4 of adult mice (as old as 11 months in our experiments) suggests a different developmental path in this case.”
Quote in the paperSubstantial claim - Premisecitation
In S1 L4, the majority of excitatory neurons are spiny stellate cells.
“in stark contrast to S1 L4 where the majority of excitatory neurons are spiny stellate cells6,8,57.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [6] Staiger, J. F. Functional diversity of layer IV spiny neurons in rat somatosensory cortex: quantitative morphology of electrophysiologically characterized and biocytin labeled cells. Cereb. Cortex 14, 690–701 (2004). source
- cites [8] Callaway, E. M. & Borrell, V. Developmental sculpting of dendritic morphology of layer 4 neurons in visual cortex: influence of retinal input. J. Neurosci. 31, 7456–7470 (2011). source
- cites [57] Feldmeyer, D., Roth, A. & Sakmann, B. Monosynaptic connections between pairs of spiny stellate cells in layer 4 and pyramidal cells in layer 5A indicate that lemniscal and paralemniscal afferent pathways converge in the infragranular somatosensory cortex. J. Neurosci. 25, 3423–3431 (2005). source
- Premisecitation
L4 spiny stellate cells in ferret V1 and mouse S1 develop postnatally from neurons that resemble pyramidal cells with an upward projecting apical dendrite.
“Notably, L4 spiny stellate cells in ferret V1 and mouse S1 develop postnatally from neurons that resemble pyramidal cells with an upward projecting apical dendrite8.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] Callaway, E. M. & Borrell, V. Developmental sculpting of dendritic morphology of layer 4 neurons in visual cortex: influence of retinal input. J. Neurosci. 31, 7456–7470 (2011). source
- Interpretationown data
Cells from the same transcriptomic type can exhibit different phenotypes in terms of morphology and electrophysiology, depending on the cortical area.
“This example suggests that cells from the same transcriptomic type can exhibit different phenotypes in terms of morphology and electrophysiology, depending on the cortical area.”
Quote in the paperSubstantial claim - Interpretationreasoning
Our findings cannot be an artefact caused by the soma recording issue.
“and so we do not think that our findings can be an artefact caused by this issue.”
Quote in the paperSubstantial claim - Interpretationown data
This is the first example in the literature of a transcriptomic type exhibiting different morphology and electrophysiology depending on cortical area.
“To the best of our knowledge, this is the first such example in the literature.”
Quote in the paperSubstantial claim - Interpretationown data
The t-types cannot be taken as the ground truth for cell types.
“It suggests that the t-types cannot be taken as the ground truth for cell types”
Quote in the paperSubstantial claim - Premisecitation
In S1 L5, L5 pyramidal cells are preferentially innervated by L5 MCs, not L5 NMCs.
“in S1 L5, where the principal excitatory cells are pyramidal and SOM+ interneurons are either L5 MC or L5 NMC, L5 pyramidal cells are preferentially innervated by L5 MCs, not L5 NMCs47.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [47] Naka, A. et al. Complementary networks of cortical somatostatin interneurons enforce layer specific control. eLife 8, e43696 (2019). source
- Interpretationown data
One of them (SOM+ interneurons or excitatory neurons) might adapt to the other.
“suggesting that one of them might adapt to another.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Even across layers, spiny stellate cells do not target MCs but only NMCs.
“which together with our findings, suggests that even across layers, spiny stellate cells do not target MCs but only NMCs.”
Quote in the paperSubstantial claim - Interpretationown data
Cell-type-specific circuit motifs, such as the Martinotti/pyramidal and non-Martinotti/stellate pairs, are used as building blocks to assemble the neocortex.
“These results support the view that cell-type-specific circuit motifs, such as the Martinotti/pyramidal and non-Martinotti/stellate pairs, are used as building blocks to assemble the neocortex.”
Quote in the paperSubstantial claim - Interpretationown data
The same transcriptomic cell type can exhibit different morphological and electrophysiological phenotypes depending on the cortical area.
“our data suggest that the same transcriptomic cell type can exhibit different morphological and electrophysiological phenotypes depending on the cortical area”
Quote in the paperSubstantial claim - Interpretationown data
The differences in connections suggest a different functional role of SOM+ interneurons in different cortical areas.
“suggesting a different functional role of SOM+ interneurons in different cortical areas.”
Quote in the paperSubstantial claim
- It may state two separate claims as one. 43
- The quote only partly states this claim. 3
- Probably not a substantial claim. 44
It may state two separate claims as one.
Findingown dataThe morphologically distinct SOM+ interneurons in V1 and S1 were differentially integrated into the local circuit, with only S1 neurons receiving local excitatory input.
“and were differentially integrated into the local circuit with only S1 neurons receiving local excitatory input.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataCross-validated pairwise classification of inhibitory cell types using morphological features had an average accuracy of 0.92, with most pairs discriminated almost perfectly.
“Across all 21 pairs, the average cross-validated classification accuracy was 0.92, with most pairs discriminated almost perfectly (Fig. 2a, left).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataAll four PV+ cell types overlapped in one group of electrophysiologically similar fast-spiking neurons, while PYR, NGC, BPC, and MC each had distinct firing patterns.
“Two-dimensional visualization of this dataset using t-SNE (Fig. 2b) showed that all four PV+ cell types overlapped in one group of electrophysiologically similar FS neurons, while the other four types (PYR, NGC, BPC, and MC) each had distinct firing patterns.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataNon-Martinotti cells in S1 L4 differed in firing pattern from Martinotti cells in V1 L4: they had a higher maximal firing rate, a lower action potential width, and a lower membrane time constant.
“The NMCs also differed in their firing pattern from MCs recorded in V1: they had a higher maximal firing rate, a lower AP width, and a lower membrane time constant (Fig. 4a, Supplementary Fig. 5).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataAll SOM+ non-fast-spiking interneurons in V1 L4 were Martinotti cells, and Martinotti cells were the only SOM+ cell type.
“all somatostatin-positive (SOM+) non-fast-spiking interneurons were Martinotti cells”
- Also stated in: § Morphological cell types in L4 of adult mouse visual cortex · plain
“Martinotti cells (MCs; 20.1%, 47/234), characterized by an ascending axon that projected to L1 and by the large membrane time constant, were the only SOM+ cell type.”
Quote in the paperSubstantial claim- Also stated in: § Morphological cell types in L4 of adult mouse visual cortex · plain
It may state two separate claims as one.
Findingown dataVIP+ neurons in V1 L4 were represented by bipolar cells (12.4%, 29/234) with a small soma, dendrites extending to L1 and L5, an axon projecting mostly downward to L5, and an irregular firing pattern.
“VIP+ neurons were represented by the bipolar cells (BPCs; 12.4%, 29/234) with a small soma, dendrites extending to L1 and L5, an axon projecting mostly downward to L5, and an irregular firing pattern.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataAmong interneurons labeled in Viaat-Cre, large basket cells were most common (37.6%, 88/234), followed by small basket cells (9.4%, 22/234), double-bouquet basket cells (5.6%, 13/234), and horizontally elongated basket cells (3.4%, 8/234).
“the most common were large basket cells (LBCs; 37.6% among the interneurons labeled in Viaat-Cre, 88/234), followed by small basket cells (SBCs; 9.4%, 22/234), double-bouquet basket cells (DBCs; 5.6%, 13/234), and horizontally elongated basket cells (HBCs; 3.4%, 8/234).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: All four PV+ fast-spiking cell types were basket cells with different axonal morphologies.
It may state two separate claims as one.
Findingown dataFour distinct types of PV+ fast-spiking cells were found in V1 L4, with narrow action potential width, high maximal firing rate, and thick axons.
“We found four distinct types of PV+, fast-spiking (FS) cells with narrow AP width, high maximal firing rate, and thick axons.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataIn V1 L4, Martinotti cells did not show the heterogeneity reported for L5 Martinotti cells; none showed rebound firing after stimulation offset.
“Previous literature suggested that Martinotti cells in L5 form two groups with different morphology and/or electrophysiology29,42, but we did not observe such heterogeneity in L4: in particular, none of the MCs showed a rebound firing after stimulation offset42.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [29] Jiang, X. et al. Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350, aac9462–aac9462 (2015). source
- cites [42] Nigro, M. J., Hashikawa-Yamasaki, Y. & Rudy, B. Diversity and connectivity of layer 5 somatostatin-expressing interneurons in the mouse barrel cortex. J. Neurosci. 38, 1622–1633 (2018). source
It may state two separate claims as one.
Findingown dataMost L4 SOM+ cells (81%, 62/77) were assigned to Sst Calb2 Pdlim and Sst Hpse Cbln4 transcriptomic types, with S1 cells falling almost exclusively into the Hpse type (27/29) and V1 cells preferentially into the Calb2 type (21/33) (p < 0.0001).
“Most L4 cells (81%, 62/77) were assigned to Sst Calb2 Pdlim and Sst Hpse Cbln4 transcriptomic types (Fig. 4b, e), with S1 cells falling almost exclusively into the Hpse type (27/29) and V1 cells falling preferentially into the Calb2 type (21/33) (p < 0.0001, Fisher’s exact test).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataIn S1 L4, almost all recovered SOM+ neurons (96.2%, 76/79) had non-Martinotti cell morphology; only two cells showed Martinotti cell morphology (2.5%, 2/79) and one had a large-basket-cell-like thick axon with fast-spiking firing (1.3%, 1/79) (Fisher's exact test p < 0.0001; 76/79 vs. 0/61).
“Indeed, we found that in S1, almost all L4 SOM+ neurons we recovered (96.2%, 76/79, from n = 19 SOM-Cre/Ai9 mice) had NMC morphology characterized by a thin, highly ramifying axon mostly residing within L4 (Fig. 3b). Only two cells showed an ascending axon projecting to L1 typical of MCs (2.5%, 2/79) and one was characterized by a thick axon branching similarly to LBC with a FS firing pattern (1.3”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataA small fraction of SOM+ neurons in V1 L4 exhibited a fast-spiking firing pattern and their morphological features matched large basket cells (8.2%, 5/61).
“A small fraction of SOM+ neurons exhibited an FS firing pattern and their morphological features matched those of LBCs (8.2%, 5/61; Supplementary Fig. 2), in agreement with the previous reports that due to potential off-target recombination, ~5–20% of neurons labeled in SOM-Cre line are FS29,43,44 and PV+/SOM− at the protein level43.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [29] Jiang, X. et al. Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350, aac9462–aac9462 (2015). source
- cites [43] Hu, H., Cavendish, J. Z. & Agmon, A. Not all that glitters is gold: off-target recombination in the somatostatin–IRES-Cre mouse line labels a subset of fast-spiking interneurons. Front. Neural Circuits 7, 195 (2013). source
- cites [44] Reimer, J. et al. Pupil fluctuations track fast switching of cortical states during quiet wakefulness. Neuron 84, 355–362 (2014). source
- The authors state this as an assumption: All four PV+ fast-spiking cell types were basket cells with different axonal morphologies.
It may state two separate claims as one.
Findingown dataV1 L4 pyramidal neurons exhibited large action potential width, high action potential amplitude, and shallow afterhyperpolarization, which discriminated them from GABAergic interneurons.
“PYRs exhibited large action potential (AP) width, high AP amplitude, and shallow afterhyperpolarization (AHP), which clearly discriminated them from GABAergic interneurons”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataNearly all excitatory neurons in V1 L4 were pyramidal; 573 of 578 (99.1%) excitatory cells were pyramidal neurons.
“Nearly all excitatory neurons were pyramidal”
- Also stated in: § Morphological cell types in L4 of adult mouse visual cortex · plain
“Out of the 578 excitatory cells, 573 (99.1%) were pyramidal neurons (PYR), characterized by apical dendrites extending into layer 1 (L1)”
Quote in the paperSubstantial claim- Also stated in: § Morphological cell types in L4 of adult mouse visual cortex · plain
It may state two separate claims as one.
Findingown datat-SNE visualization indicated that SBC/HBC types were partially overlapping, as well as LBC/DBC.
“Visualization of this dataset with t-SNE (Fig. 2a, right) indicated that SBC/HBC types were partially overlapping, as well as LBC/DBC.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
FindingreasoningIn S1, axons of L4 NMCs were more localized, matching the more compact dendritic structure of spiny stellate cells.
“In S1, by contrast, axons of L4 NMCs were more localized, matching the more compact dendritic structure of spiny stellate cells.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataL5 SOM+ cells sequenced in both areas mostly mapped to a different set of transcriptomic types than L4 SOM+ cells, with no apparent differences between S1 and V1 in transcriptomic cell types.
“The L5 SOM+ cells that we sequenced in both areas mostly mapped to a different set of transcriptomic types than the L4 SOM+ cells, but there were no apparent differences between S1 and V1 in terms of transcriptomic cell types (Fig. 4b).”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataLarge basket cells in V1 L4 followed the same connectivity rules as previously found in other layers: PYRs connected to LBCs with probability 12.5% (38/303), MCs inhibited LBCs with probability 32.6% (15/46), and LBCs inhibited each other (36.7%, 75/204), MCs (13.0%, 6/46) and PYRs (25.7%, 78/303).
“We found that LBCs followed the same connectivity rules as previously found in other layers29,49. PYRs connected to LBCs with probability 12.5% (38/303), MCs inhibited LBCs with probability 32.6% (15/46), and LBCs inhibited each other (36.7%, 75/204), MCs (13.0%, 6/46) and PYRs (25.7%, 78/303).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [29] Jiang, X. et al. Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350, aac9462–aac9462 (2015). source
- cites [49] Pfeffer, C. K., Xue, M., He, M., Huang, Z. J. & Scanziani, M. Inhibition of inhibition in visual cortex: the logic of connections between molecularly distinct interneurons. Nat. Neurosci. 16, 1068–1076 (2013). source
- The authors state this as an assumption: All four PV+ fast-spiking cell types were basket cells with different axonal morphologies.
It may state two separate claims as one.
Findingown dataThe connection probability between pyramidal neurons in V1 L4 was very low, consistent with previous work in other layers in adult animals but in contrast to findings in young and juvenile rodents.
“Notably, the connection probability between PYRs in V1 L4 was very low, consistent with our previous work in other layers in adult animals29, but in contrast to the findings in young and juvenile rodents51,52.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [29] Jiang, X. et al. Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350, aac9462–aac9462 (2015). source
- cites [51] Markram, H., Lübke, J., Frotscher, M., Roth, A. & Sakmann, B. Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex. J. Physiol. 500, 409–440 (1997). source
- cites [52] Song, S., Sjöström, P. J., Reigl, M., Nelson, S. & Chklovskii, D. B. Correction: highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS Biol. 3, e350 (2005). source
It may state two separate claims as one.
Findingown dataIn V1 L4, there were no connections from local excitatory neurons to Martinotti cells (0%, 0/142), differing from S1 (p = 0.0002).
“In contrast, we did not find any connections (0%, 0/142) from local excitatory neurons to MCs in V1 (p = 0.0002, Fisher’s exact text).”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataThe measured intra-barrel connection probability (5.2%, 5/104) was not significantly different from the value reported above (2.5%, 3/122) (p = 0.48, Fisher's exact test).
“but not significantly different from it (p = 0.48, Fisher’s exact test)”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThese cells (MCs from V1 mapping to Sst Hpse Cbln4) show an electrophysiological profile intermediate between MCs and NMCs, but morphologically correspond to MCs.
“These cells show an electrophysiological profile intermediate between MCs and NMCs, but morphologically correspond to MCs based on our data.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataLarge basket cells were electrically coupled to each other with probability 27.5% (28/102) but were never electrically coupled to Martinotti cells (0/23).
“We also found that LBCs were electrically coupled to each other with probability 27.5% (28/102) but were never electrically coupled to MCs (0/23), in agreement with previous findings that gap junctions exist between inhibitory cells of the same type50.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] Galarreta, M. & Hestrin, S. Electrical synapses between GABA-releasing interneurons. Nat. Rev. Neurosci. 2, 425–433 (2001). source
- The authors state this as an assumption: All four PV+ fast-spiking cell types were basket cells with different axonal morphologies.
It may state two separate claims as one.
Findingown dataBoth MCs in V1 and NMCs in S1 projected to the excitatory population in L4.
“and projected to excitatory population in L4.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataAcross genes, there was a clear inverse relationship between mean non-zero expression (μ) and probability of near-zero expression (τ), roughly following the exponential law τ ≈ exp(−1.5⋅μ + a) for some horizontal offset a.
“Across genes, there was a clear inverse relationship between μ and τ, that roughly followed exponential law τ ≈ exp(−1.5⋅μ + a) for some horizontal offset a.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataAll the remaining 110 cells mapped to the Sst types.
“All the remaining n = 110 cells mapped to the Sst types.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
FindingcitationTissue shrinkage due to fixation and staining was about 10-20%, consistent with previous studies.
“Tissue shrinkage due to the fixation and staining procedures was about 10–20%, consistent with previous studies29,51.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [29] Jiang, X. et al. Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350, aac9462–aac9462 (2015). source
- cites [51] Markram, H., Lübke, J., Frotscher, M., Roth, A. & Sakmann, B. Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex. J. Physiol. 500, 409–440 (1997). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataThe afterdepolarization (ADP) feature was equal to zero for most neurons.
“ADP because it was equal to zero for most neurons”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
FindingcitationThe remaining 114 cells were mapped to the full set of 133 transcriptomic types identified in Tasic et al.
“The remaining n = 114 cells were mapped to the full set of 133 transcriptomic types identified in Tasic et al.25”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tasic et al.25 Tasic, B. et al. Shared and distinct transcriptomic cell types across neocortical areas. Nature 563, 72–78 (2018). source
The quote only partly states this claim.
Findingown dataWe found differences in the connections from excitatory neurons to SOM+ interneurons between V1 and S1.
“Furthermore, we found differences in the connections from excitatory neurons to SOM+ interneurons”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataWe identified seven morphological types of interneurons but only four electrophysiological types in our V1 L4 dataset.
“In our V1 L4 dataset, we identified seven morphological types of interneurons but only four electrophysiological types (Fig. 2)”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataThe first action potential latency feature had high outliers among the fast-spiking (FS) types.
“latency because it had high outliers among the FS types”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Findingown dataThe total number of sequenced cells was 118.
“The total number of sequenced cells was n = 118.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationSomatostatin-positive (SOM+) interneurons form a single morphological population called non-Martinotti cells, with axons mainly targeting L4, in contrast to typical Martinotti cells that target L1.
“Several recent studies revealed that the somatostatin-positive (SOM+) interneurons form a single morphological population that has been called non-Martinotti cells13 since their axons mainly target L414,15, in contrast to typical Martinotti cells, which target L1.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [13] Yavorska, I. & Wehr, M. Somatostatin-expressing inhibitory interneurons in cortical circuits. Front. Neural Circuits 10, 76 (2016). source
- cites [14] Ma, Y., Hu, H., Berrebi, A. S., Mathers, P. H. & Agmon, A. Distinct subtypes of somatostatin-containing neocortical interneurons revealed in transgenic mice. J. Neurosci. 26, 5069–5082 (2006). source
- cites [15] Xu, H., Jeong, H.-Y., Tremblay, R. & Rudy, B. Neocortical somatostatin-expressing GABAergic interneurons disinhibit the thalamorecipient layer 4. Neuron 77, 155–167 (2013). source
Probably not a substantial claim. It may state two separate claims as one.
PremisecitationLayer 4 (L4) of mammalian neocortex is the main direct target of sensory inputs from the thalamus and acts as the first level of cortical processing for sensory signals.
“In this stereotypical architecture, layer 4 (L4) is the main direct target of sensory inputs coming from the thalamus, thus acting as the first level of cortical processing for sensory signals1.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] Harris, K. D. & Shepherd, G. M. G. The neocortical circuit: themes and variations. Nat. Neurosci. 18, 170–181 (2015). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationInhibitory interneurons in L4 are highly diverse in genetic markers, morphologies and electrophysiological properties.
“In contrast, inhibitory interneurons are highly diverse in terms of their genetic markers, morphologies and electrophysiological properties10.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] Tremblay, R., Lee, S. & Rudy, B. GABAergic interneurons in the neocortex: from cellular properties to circuits. Neuron 91, 260–292 (2016). source
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationPrevious studies reported three types of fast-spiking (FS), parvalbumin-positive (PV+) interneurons and five types of non-FS interneurons, all with distinct morphologies.
“Previous studies have reported three types of fast-spiking (FS), parvalbumin-positive (PV+) interneurons11 and five types of non-FS interneurons12, all of which have distinct morphologies.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [11] Koelbl, C., Helmstaedter, M., Lübke, J. & Feldmeyer, D. A Barrel-related interneuron in layer 4 of rat somatosensory cortex with a high intrabarrel connectivity. Cereb. Cortex 25, 713–725 (2013). source
- cites [12] Emmenegger, V., Qi, G., Wang, H. & Feldmeyer, D. Morphological and functional characterization of non-fast-spiking GABAergic interneurons in layer 4 microcircuitry of rat barrel cortex. Cereb. Cortex 28, 1439–1457 (2018). source
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationPV+ FS interneurons receive strong thalamic inputs while SOM+ non-FS interneurons receive weaker thalamic inputs.
“For example, PV+ FS interneurons receive strong thalamic inputs16–20 while SOM+ non-FS interneurons receive weaker thalamic inputs21,22.”
Quote in the paperNot a substantial claim0 of 7 sources checked- cites [16] Cruikshank, S. J., Lewis, T. J. & Connors, B. W. Synaptic basis for intense thalamocortical activation of feedforward inhibitory cells in neocortex. Nat. Neurosci. 10, 462–468 (2007). source
- cites [17] Beierlein, M., Gibson, J. R. & Connors, B. W. Two dynamically distinct inhibitory networks in layer 4 of the neocortex. J. Neurophysiol. 90, 2987–3000 (2003). source
- cites [18] Higley, M. J. & Contreras, D. Balanced excitation and inhibition determine spike timing during frequency adaptation. J. Neurosci. 26, 448–457 (2006). source
- cites [19] Gabernet, L., Jadhav, S. P., Feldman, D. E., Carandini, M. & Scanziani, M. Somatosensory integration controlled by dynamic thalamocortical feed-forward inhibition. Neuron 48, 315–327 (2005). source
- cites [20] Kloc, M. & Maffei, A. Target-specific properties of thalamocortical synapses onto layer 4 of mouse primary visual cortex. J. Neurosci. 34, 15455–15465 (2014). source
- cites [21] Cruikshank, S. J., Urabe, H., Nurmikko, A. V. & Connors, B. W. Pathway-specific feedforward circuits between thalamus and neocortex revealed by selective optical stimulation of axons. Neuron 65, 230–245 (2010). source
- cites [22] Ji, X.-Y. et al. Thalamocortical innervation pattern in mouse auditory and visual cortex: laminar and cell-type specificity. Cereb. Cortex 26, 2612–2625 (2016). source
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Interpretationown dataThree cells with fast-spiking firing pattern mapped to Pvalb Reln Itm2a transcriptomic type, likely corresponding to basket cells labeled in SOM-Cre; they did not express SOM, suggesting transient expression during development.
“Three cells (excluded from the cell counts given above and from further analysis) had fast-spiking firing pattern and mapped to Pvalb Reln Itm2a transcriptomic type, likely corresponding to the basket cells that we found labeled in the SOM-Cre line (Fig. 3). These three cells did not express SOM (zero read count), suggesting that they could have transiently expressed it during development, as hyp”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] Hu, H., Cavendish, J. Z. & Agmon, A. Not all that glitters is gold: off-target recombination in the somatostatin–IRES-Cre mouse line labels a subset of fast-spiking interneurons. Front. Neural Circuits 7, 195 (2013). source
It may state two separate claims as one.
Interpretationown dataNo labeled neurogliaform cells were encountered in PV-Cre, SST-Cre, or VIP-Cre lines, suggesting they belonged to the Lamp5 transcriptomic family.
“We did not encounter any labeled NGCs in PV-Cre, SST-Cre, or VIP-Cre lines, suggesting that they belonged to the Lamp5 transcriptomic family25.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Tasic, B. et al. Shared and distinct transcriptomic cell types across neocortical areas. Nature 563, 72–78 (2018). source
It may state two separate claims as one.
Interpretationown dataThe quality of mapping Patch-seq cells to the transcriptomic dataset was equally good for V1 and S1 cells, suggesting the V1 + ALM dataset is a reasonable reference for S1 interneurons.
“The quality of the mapping was equally good for V1 and S1 cells (Supplementary Fig. 7), suggesting that the V1 + ALM dataset is a reasonable reference for S1 interneurons, in agreement with the idea that inhibitory transcriptomic cell types are shared across cortical regions25,26.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [25] Tasic, B. et al. Shared and distinct transcriptomic cell types across neocortical areas. Nature 563, 72–78 (2018). source
- cites [26] Nowakowski, T. J. et al. Regulation of cell-type-specific transcriptomes by microRNA networks during human brain development. Nat. Neurosci. 21, 1784–1792 (2018). source
Probably not a substantial claim. It may state two separate claims as one.
PremisecitationRecent large-scale transcriptomic studies showed that most interneuron types are shared between cortical areas while excitatory types are predominantly area-specific.
“Recent large-scale studies of transcriptomic cell types in mouse and human cortex showed that most interneuron types are shared between cortical areas while the excitatory types are predominantly area-specific25,26.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [25] Tasic, B. et al. Shared and distinct transcriptomic cell types across neocortical areas. Nature 563, 72–78 (2018). source
- cites [26] Nowakowski, T. J. et al. Regulation of cell-type-specific transcriptomes by microRNA networks during human brain development. Nat. Neurosci. 21, 1784–1792 (2018). source
It may state two separate claims as one.
Interpretationown dataMost morphological classes can be very well discriminated, but some may be partially overlapping.
“Overall, this analysis suggests that while most morphological classes can be very well discriminated, some may be partially overlapping.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
InterpretationcitationSst Calb2 Pdlim is a Martinotti cell type and Sst Hpse Cbln4 is a non-Martinotti cell type.
“This suggests that Sst Calb2 Pdlim is a MC type, in agreement with the conclusions of Tasic et al.25 based on the data from Paul et al.46, and that Sst Hpse Cbln4 is a NMC type, in agreement with Naka et al.47.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [25] Tasic, B. et al. Shared and distinct transcriptomic cell types across neocortical areas. Nature 563, 72–78 (2018). source
- cites [46] Paul, A. et al. Transcriptional architecture of synaptic communication delineates GABAergic neuron identity. Cell 171, 522–539.e20 (2017). source
- cites [47] Naka, A. et al. Complementary networks of cortical somatostatin interneurons enforce layer specific control. eLife 8, e43696 (2019). source
It may state two separate claims as one.
PremisecitationRecent evidence indicates that most, if not all, L4 SOM+ cells in mouse S1 have axons mostly localized within L4, in contrast to typical Martinotti cells, and are called non-Martinotti cells.
“Recent evidence indicates that most, if not all, L4 SOM+ cells in mouse S1 have axons mostly localized within L4, in stark contrast to typical MCs15, and have been called non-Martinotti cells (NMCs)13.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [15] Xu, H., Jeong, H.-Y., Tremblay, R. & Rudy, B. Neocortical somatostatin-expressing GABAergic interneurons disinhibit the thalamorecipient layer 4. Neuron 77, 155–167 (2013). source
- cites [13] Yavorska, I. & Wehr, M. Somatostatin-expressing inhibitory interneurons in cortical circuits. Front. Neural Circuits 10, 76 (2016). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationGap junctions exist between inhibitory cells of the same type.
“in agreement with previous findings that gap junctions exist between inhibitory cells of the same type50.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] Galarreta, M. & Hestrin, S. Electrical synapses between GABA-releasing interneurons. Nat. Rev. Neurosci. 2, 425–433 (2001). source
Probably not a substantial claim.
PremisecitationIn S1 L4, cells preferentially make intra-barrel connections.
“it is known that cells in S1 L4 preferentially make intra-barrel connections3,4.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [3] Feldmeyer, D., Egger, V., Lübke, J. & Sakmann, B. Reliable synaptic connections between pairs of excitatory layer 4 neurones within a single ‘barrel’ of developing rat somatosensory cortex. J. Physiol. 521, 169–190 (1999). source
- cites [4] Petersen, C. C. H. & Sakmann, B. The excitatory neuronal network of rat layer 4 barrel cortex. J. Neurosci. 20, 7579–7586 (2000). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationMartinotti cells in L2/3 and L5 of adult mouse V1 receive strong facilitating synaptic inputs from local pyramidal neurons in the same layers.
“This was also in stark contrast to MCs in L2/3 and L5 of adult mouse V1, which receive strong facilitating synaptic inputs from local PYRs in the same layers29”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Jiang, X. et al. Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350, aac9462–aac9462 (2015). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationA recent study found 6.3% (20/315) connection probability in V1 L4 of P46 mice.
“This is in agreement with a recent study that found 6.3% (20/315) connection probability in V1 L4 of P46 mice53.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [53] Seeman, S. C. et al. Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex. Elife 7, e37349 (2018). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationAll these large basket cell connection patterns have also been reported in S1 L4 of young mice.
“All of these connection patterns have also been reported in S1 L4 of young mice24.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Ma, Y., Hu, H. & Agmon, A. Short-term plasticity of unitary inhibitory-to-inhibitory synapses depends on the presynaptic interneuron subtype. J. Neurosci. 32, 983–988 (2012). source
It may state two separate claims as one.
PremisecitationAll non-fast-spiking SOM+ cells in V1 L5 and the majority of SOM+ cells in S1 L5 are known to be Martinotti cells.
“Morphologically, all non-fast-spiking SOM+ cells in V1 L529,47 and the majority of SOM+ cells in S1 L522,29,42,47 are known to be MCs.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [29] Jiang, X. et al. Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350, aac9462–aac9462 (2015). source
- cites [47] Naka, A. et al. Complementary networks of cortical somatostatin interneurons enforce layer specific control. eLife 8, e43696 (2019). source
- cites [22] Ji, X.-Y. et al. Thalamocortical innervation pattern in mouse auditory and visual cortex: laminar and cell-type specificity. Cereb. Cortex 26, 2612–2625 (2016). source
- cites [42] Nigro, M. J., Hashikawa-Yamasaki, Y. & Rudy, B. Diversity and connectivity of layer 5 somatostatin-expressing interneurons in the mouse barrel cortex. J. Neurosci. 38, 1622–1633 (2018). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationThe excitatory identity controls the survival and wiring of local interneurons.
“This observation is in line with previous findings that the excitatory identity controls the survival and wiring of local interneurons60,61.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [60] Lodato, S. et al. Excitatory projection neuron subtypes control the distribution of local inhibitory interneurons in the cerebral cortex. Neuron 69, 763–779 (2011). source
- cites [61] Wong, F. K. et al. Pyramidal cell regulation of interneuron survival sculpts cortical networks. Nature 557, 668–673 (2018). source
Probably not a substantial claim.
PremisecitationThe majority of transcriptomic inhibitory types are shared between two very different cortical areas (V1 and ALM).
“Tasic et al.25 showed that the majority of transcriptomic inhibitory types are shared between two very different cortical areas (V1 and ALM).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [25] Tasic, B. et al. Shared and distinct transcriptomic cell types across neocortical areas. Nature 563, 72–78 (2018). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductreasoningNeuronal structures can be severed due to slicing, introducing a potential underestimation of neuronal morphology and connectivity.
“Importantly, neuronal structures can be severed (a limitation of all slice electrophysiology experiments) due to the slicing procedure, introducing a potential underestimation of neuronal morphology and connectivity.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Study design and conductown dataPairwise classification used nested cross-validation with logistic regression regularized with elastic net.
“For pairwise classification, we used exactly the same procedure as described above for pairwise classification using the reconstructed morphologies (nested cross-validation with logistic regression regularized with elastic net).”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenInvestigators were blinded to cell type of Patch-seq samples during library construction and sequencing.
“Investigators were blinded to cell type of Patch-seq samples during library construction and sequencing.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataFour cells were excluded because the sum of counts across all genes was below 1500.
“Four cells were excluded because the sum of counts across all genes was below 1500”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisecitationNaka et al. showed that L4 excitatory neurons connect to NMCs in L5 but not to MCs in L5.
“Within S1, Naka et al.47 showed that L4 excitatory neurons connect to NMCs in L5 but not to MCs in L5”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [47] Naka, A. et al. Complementary networks of cortical somatostatin interneurons enforce layer specific control. eLife 8, e43696 (2019). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationThis potential underestimation did not seem to strongly affect studies of local circuits in the past.
“However, this did not seem to strongly affect the studies of local circuits in the past29,78.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [29] Jiang, X. et al. Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350, aac9462–aac9462 (2015). source
- cites [78] Qi, G., Radnikow, G. & Feldmeyer, D. Electrophysiological and morphological characterization of neuronal microcircuits in acute brain slices using paired patch-clamp recordings. J. Vis. Exp. 95, e52358 (2015). source
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Study design and conductown dataEight cells did not have good electrophysiological recordings and were excluded from all downstream analyses that required electrophysiological data, leaving 102 cells.
“Among those, eight cells did not have good electrophysiological recordings (the recordings were either lost or were of bad quality) and were excluded from all downstream analyses that required electrophysiological data (leaving n = 102 cells).”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Interpretationown dataL4 MCs in V1 behave differently from SOM+ MCs in other layers.
“However, our results suggest that L4 MCs in V1 behave differently.”
Quote in the paperSubstantial claimProbably not a substantial claim. It may state two separate claims as one.
Study design and conductown dataNeurons were assigned to L4 based on neocortical layer boundaries and small somata, and layer identity was confirmed by visualization after staining.
“Neurons were assigned to L4 based on the neocortical layer boundaries and the small somata that characterize this layer, which were clearly visible in the micrograph under the bright-field microscope. The layer identity of each neuron was also confirmed by the visualization of their position after the staining.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenAnimal preparation procedures were performed according to protocols approved by the IACUC of Baylor College of Medicine.
“Animal preparation procedures for animals maintenance and surgeries were performed according to protocols approved by the Institutional Animal Care and Use Committee (IACUC) of Baylor College of Medicine.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataTen-fold cross-validation was used to select the values of alpha and lambda regularization parameters that would maximize the predicted R-squared.
“We used 10-fold cross-validation to select the values of alpha and lambda regularization parameters that would maximize the predicted R-squared.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenOur recordings were done at the soma and could have failed to detect synaptic connections formed in the distal dendrites.
“One possible caveat here is that our recordings were done at the soma and could have failed to detect synaptic connections formed in the distal dendrites.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Study design and conductown dataTo make sure that identified connections were monosynaptic, we recovered the morphology of presynaptic neurons and made sure that morphology and electrophysiology matched the nature of connections (EPSP vs. IPSP).
“To make sure that the identified connections were monosynaptic, we recovered the morphology of the presynaptic neurons and made sure that the morphology and electrophysiology of the presynaptic neuron for each connection (i.e., pyramidal neurons vs. interneurons) matched the nature of connections (i.e., EPSP vs. IPSP).”
Quote in the paperSubstantial claimProbably not a substantial claim. It may state two separate claims as one.
Study design and conductcitationBecause synaptic connectivity strongly depends on inter-soma distance, we took special care to record from groups of neurons with inter-soma distances less than 150 μm.
“Because the synaptic connectivity strongly depends on the inter-soma distance29, we took special care to record from groups of neurons with inter-soma distances less than 150 µm.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29] Jiang, X. et al. Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350, aac9462–aac9462 (2015). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenOuter-loop performance was assessed via test-set accuracy.
“Outer-loop performance was assessed via test-set accuracy.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataThree cells were excluded because they mapped to the Pvalb Reln Itm2a type and were fast-spiking.
“three cells were excluded because they mapped to Pvalb Reln Itm2a type (and were fast-spiking)”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataThe analysis shown in Fig. 4e used 102 Patch-seq cells with high-quality electrophysiological recordings.
“For the analysis shown in Fig. 4e, we selected 1000 most variable genes as described above, using n = 102 Patch-seq cells with high-quality electrophysiological recordings.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductown dataOne cell was excluded because it mapped to one of the excitatory types.
“One cell was excluded because it mapped to one of the excitatory types”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationGowens et al. identified twice as many morphological types (m-types) as electrophysiological ones (e-types) in a parallel work based on unsupervised clustering.
“This is in qualitative agreement with the findings of Gowens et al.76, who, in a parallel work based on unsupervised clustering, identified twice as many morphological types (m-types) as electrophysiological ones (e-types).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [76] Gouwens, N. W. et al. Classification of electrophysiological and morphological neuron types in the mouse visual cortex. Nat. Neurosci. 22, 1182–1195 (2019). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenThe shrinkage was not compensated for the morphology visualization and analysis.
“The shrinkage was not compensated for the morphology visualization and analysis.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper may give no reason why it holds.
Study design and conductnone givenThe problem of failing to detect distal connections would not be more severe in adult animals compared to young ones (P15-20).
“However, we see no reason to believe that this problem would be more severe in adult animals compared to the young ones (P15–20)”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationIn V1, L4 MCs receive weak inputs from the thalamus compared to other interneuron types.
“previous studies have shown that in V1, L4 MCs also receive weak inputs from the thalamus compared to other interneuron types21,22.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [21] Cruikshank, S. J., Urabe, H., Nurmikko, A. V. & Connors, B. W. Pathway-specific feedforward circuits between thalamus and neocortex revealed by selective optical stimulation of axons. Neuron 65, 230–245 (2010). source
- cites [22] Ji, X.-Y. et al. Thalamocortical innervation pattern in mouse auditory and visual cortex: laminar and cell-type specificity. Cereb. Cortex 26, 2612–2625 (2016). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenSpecial care was taken to select only slices that had a cutting plane parallel to the apical dendrites to ensure preservation of both axonal and dendritic arborization structures.
“special care was taken to select only slices that had a cutting plane parallel to the apical dendrites to ensure preservation of both axonal and dendritic arborization structures.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
InterpretationreasoningThe difference in the morphology of SOM+ neurons between V1 and S1 might be a result of the difference in dendritic arborization of the targeted excitatory neurons.
“We suggest that the difference in the morphology of SOM+ neurons between these two cortical areas might be a result of the difference in dendritic arborization of the targeted excitatory neurons.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationSOM+ MCs in other layers receive facilitating excitatory inputs from local principal neurons in both S1 and V1.
“SOM+ MCs in other layers are known to receive facilitating excitatory inputs from local principal neurons in both S162,63 and V129,64.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [62] Kapfer, C., Glickfeld, L. L., Atallah, B. V. & Scanziani, M. Supralinear increase of recurrent inhibition during sparse activity in the somatosensory cortex. Nat. Neurosci. 10, 743–753 (2007). source
- cites [63] Silberberg, G. & Markram, H. Disynaptic inhibition between neocortical pyramidal cells mediated by Martinotti cells. Neuron 53, 735–746 (2007). source
- cites [29] Jiang, X. et al. Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350, aac9462–aac9462 (2015). source
- cites [64] Adesnik, H., Bruns, W., Taniguchi, H., Huang, Z. J. & Scanziani, M. A neural circuit for spatial summation in visual cortex. Nature 490, 226–231 (2012). source
Probably not a substantial claim. It may state two separate claims as one.
Study design and conductnone givenWe used nested cross-validation to choose the optimal value of the regularization parameter lambda and to obtain an unbiased estimate of the performance.
“We used nested cross-validation to choose the optimal value of the regularization parameter lambda and to obtain an unbiased estimate of the performance.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
All four PV+ fast-spiking cell types were basket cells with different axonal morphologies.
“None of them had chandelier-like axonal structures, so we assumed that all four types were basket cells with different axonal morphologies10”
The paper relies on this without support.
There has been no systematic comparison of anatomical and electrophysiological properties as well as connectivity profiles between L4 of different cortical areas.
“However, there has been no systematic comparisons of anatomical and electrophysiological properties as well as connectivity profiles between L4 of different cortical areas, leaving an open question about the similarity in their cellular components and circuitry.”
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?
The Sst Pvalb Calb2 type, which is transcriptomically in between the Sst and Pvalb subclasses, was also in between these subclasses in terms of its morpho-electric phenotype.
“Another finding was that the Sst Pvalb Calb2 type, which is transcriptomically in between the Sst and Pvalb subclasses, was also in between these subclasses in terms of its morpho-electric phenotype28.”
From Phenotypic variation of transcriptomic cell types in mouse motor cortex (2021) · cites this paper as [28]
Tissue shrinkage due to the fixation and staining procedures was about 10-20%.
“Consistently with previous studies, tissue shrinkage due to the fixation and staining procedures was about 10–20%5,28,49.”
From Phenotypic variation of transcriptomic cell types in mouse motor cortex (2021) · cites this paper as [28]
Recent evidence suggests that different morphological phenotypes correspond to different synaptic connectivity profiles.
“Recent evidence also suggests that different morphological phenotypes correspond to differential synaptic connectivity profiles (Nigro et al., 2018; Naka et al., 2019; Scala et al., 2019).”
From Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells (2020) · cites this paper as Scala et al., 2019
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Within-barrel connection probability does not match its count
MinorFive connections out of 104 tested correspond to 4.8%, not the reported 5.2%.
Reported 5.2 · recomputed 4.807692
“The measured connection probability was 5.2% (5/104)”
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Self-citationKontrastempfindlichkeit und Sehschärfe bei Tieren
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Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells
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“A previous study also observed that cells of this t-type had fast-spiking-like firing properties (Scala et al., 2019).”
Phenotypic variation of transcriptomic cell types in mouse motor cortex
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InfluentialSelf-citationLocal connectivity and synaptic dynamics in mouse and human neocortex
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“Sst and Vip cells are often described as lacking recurrent connections (36, 37, 48, 61) despite some evidence to the contrary (6, 62).”
BackgroundResultCircuitry Underlying Experience-Dependent Plasticity in the Mouse Visual System
Hooks, B. M., & Chen, C. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.031 · Cited by 176
Neuronal circuits in barrel cortex for whisker sensory perception
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“L4-5 SST STK32A and Sst Hpse Cbln4 shared similar morphological qualities, including being found predominately in L4 and L5 and extensive axonal branching that strongly innervated L4 (16, 42) (Fig.”
BackgroundPatch-seq: Past, Present, and Future
Lipovsek, M., Bardy, C., Cadwell, C. R., Hadley, K., Kobak, D., & Tripathy, S. J. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1653-20.2020 · Cited by 104
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“, 2011), and that pyramidal excitatory neurons across all layers of V1 extend their dendrites into L1 (Olsen et al., 2012; Scala et al., 2019).”
BackgroundMillman, D. J., Ocker, G. K., Caldejon, S., Kato, I., Larkin, J. D., Lee, E., Luviano, J., Nayan, C., Nguyen, T. V., North, K., et al. (2020) · eLife · doi:10.7554/elife.55130 · Cited by 94
“Notably, most, if not all, SST neurons in layer 4 of V1 are Martinotti cells (Scala et al., 2019).”
BackgroundEstablishing a conceptual framework for holistic cell states and state transitions
Rafelski, S. M., & Theriot, J. A. (2024) · Cell · doi:10.1016/j.cell.2024.04.035 · Cited by 93
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Somatostatin interneurons control the timing of developmental desynchronization in cortical networks
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Self-citationCell-type-specific propagation of visual flicker
Schneider, M., Τζάνου, Α., Uran, C., & Vinck, M. A. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112492 · Cited by 61
MicroRNAs Instruct and Maintain Cell Type Diversity in the Nervous System
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Primate Neuronal Connections are Sparse as Compared to Mouse
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Somatostatin and Somatostatin-Containing Interneurons—From Plasticity to Pathology
Liguz‐Lecznar, M., Dobrzański, G., & Kossut, M. M. (2022) · Biomolecules · doi:10.3390/biom12020312 · Cited by 46
Phenotypic variation within and across transcriptomic cell types in mouse motor cortex
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“Slice preparation The MOp brain slices were obtained following previously described protocols (Jiang et al., 2015; Scala et al., 2019).”
BackgroundMethodResultInfluentialSelf-citationConserved patterns of functional organization between cortex and thalamus in mice
Miller-Hansen, A. J., & Sherman, S. M. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2201481119 · Cited by 43
“The excitatory identity of cells in cortex was verified by layer and area-specific responses to positive and negative current injections which easily distinguish GABAergic interneurons (52), as well as by size and shape (all excitatory cells were pyramidal with the exception of S1 layer 4), as described previously (22…”
BackgroundCellular composition and circuit organization of the locus coeruleus of adult mice
McKinney, A., Hu, M., Hoskins, A., Mohammadyar, A., Naeem, N., Jing, J., Patel, S. S., Sheth, B. R., & Jiang, X. (2023) · eLife · doi:10.7554/elife.80100 · Cited by 58
Self-citationStereo-seq of the prefrontal cortex in aging and Alzheimer’s disease
Gong, Y., Haeri, M., Zhang, X., Li, Y., Liu, A., Wu, D., Zhang, Q., Jazwinski, S. M., Zhou, X., Wang, X., et al. (2025) · Nature Communications · doi:10.1038/s41467-024-54715-y · Cited by 52
“AsthelayersII-Varecrucialin cortical information collection, processing and distributing outputs to subcortical structures 49,50 , the breakdown of the vertical networks leads to the cognitive impairments in AD 51 .”
Layer 1 neocortex: Gating and integrating multidimensional signals
Huang, S., Wu, S. J., Sansone, G., Ibrahim, L. A., & Fishell, G. (2023) · Neuron · doi:10.1016/j.neuron.2023.09.041 · Cited by 43
Consistent cross-modal identification of cortical neurons with coupled autoencoders
Gala, R., Budzillo, A., Baftizadeh, F., Miller, J. A., Gouwens, N. W., Arkhipov, A. S., Murphy, G. J., Tasic, B., Zeng, H., Hawrylycz, M., et al. (2021) · Nature Computational Science · doi:10.1038/s43588-021-00030-1 · Cited by 38
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“Moreover, new methods such as the Patch-seq recording technique (Fuzik et al., 2016; Cadwell et al., 2016; Scala et al., 2019; Fö ldy et al., 2016) enable one to directly relate the transcriptomic features of a given neuron to other identifying characteristics of the same neuron - e.g., the…”
BackgroundMethodInfluentialChandrashekar, P. B., Alatkar, S., Wang, J., Hoffman, G. E., He, C., Jin, T., Khullar, S., Bendl, J., Fullard, J. F., Roussos, P., et al. (2023) · Genome Medicine · doi:10.1186/s13073-023-01248-6 · Cited by 37
“We extracted 112 (L4) neuronal cells patch-seq data [122] containing gene expression data but only a small set of electrophysiological data for independent testing.”
MethodFisher, J., Verhagen, M. G., Long, Z., Moissidis, M., Yan, Y., He, C., Wang, J., Micoli, E., Alastruey, C. M., Moors, R., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.11.013 · Cited by 38
Genetically Defined Subtypes of Somatostatin-Containing Cortical Interneurons
Hostetler, R. E., Hu, H., & Agmon, A. (2023) · eNeuro · doi:10.1523/eneuro.0204-23.2023 · Cited by 31
“, 2019), although in visual cortex (used for the MET classification) they also have substantial axonal arborization in L1 (Scala et al., 2019).”
Sparse Reduced-Rank Regression for Exploratory Visualisation of Paired Multivariate Data
Kobak, D., Bernaerts, Y., Weis, M. A., Scala, F., Tolias, A. S., & Berens, P. (2021) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/rssc.12494 · Cited by 24
“We used five existing Patch-seq datasets (Cadwell et al., 2016; Fuzik et al., 2016; Gouwens et al., 2020; Scala et al., 2019, 2020) with sample sizes ranging from n = 44 to n = 3395 to demonstrate and validate our method (Table 1).”
MethodSelf-citationMorpho-electric diversity of human hippocampal CA1 pyramidal neurons
Mertens, E. J., Leibner, Y., Pie, J. L., Galakhova, A. A., Waleboer, F., Meijer, J., Heistek, T. S., Wilbers, R., Heyer, D. B., Goriounova, N. A., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114100 · Cited by 27
“74,77,78 These larger datasets should ideally include dendritic recordings to validate our assumptions on independent dendritic subunits and non-linear properties (Figure 4).”
BackgroundDistinct feedforward and feedback pathways for cell-type specific attention effects
Spyropoulos, G., Schneider, M., van Kempen, J., Gieselmann, M. A., Thiele, A., & Vinck, M. A. (2024) · Neuron · doi:10.1016/j.neuron.2024.04.020 · Cited by 33
“35,44 Thus, the fast-spiking interneurons in V4 may comprise a mixture of PV+ and narrow-waveform SSt+ interneurons.”
Optimizing interneuron circuits for compartment-specific feedback inhibition
Keijser, J., & Sprekeler, H. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009933 · Cited by 28
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“These neurons exhibited regular firing patterns ( Scala et al., 2019 ; Stumpf et al., 2018 ) in response to depolarization current injection ( Figure 7D , Figure 7—figure supplement 3A ) with moderate maximal evoked spiking frequencies of 10–30 spikes per 500 ms ( Figure 7E–G ), increasing of…”
BackgroundGemin, O., Serna, P., Zamith, J., Assendorp, N., Fossati, M., Rostaing, P., Triller, A., & Charrier, C. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001375 · Cited by 25
Connectomics of predicted Sst transcriptomic types in mouse visual cortex
Gamlin, C. R., Schneider-Mizell, C. M., Mallory, M., Elabbady, L., Gouwens, N. W., Williams, G., Mukora, A., Dalley, R. A., Bodor, Á. L., Brittain, D., et al. (2025) · Nature · doi:10.1038/s41586-025-08805-6 · Cited by 32
“We observe ‘blanket inhibition’ from the MET-8 cells onto L4 PCs, but not from MET-8 onto other target subclasses or from other Sst MET-types.”
InfluentialMolecular logic for cellular specializations that initiate the auditory parallel processing pathways
Jing, J., Hu, M., Ngodup, T., Ma, Q., Lau, S.-N. N., Ljungberg, M. C., McGinley, M. J., Trussell, L. O., & Jiang, X. (2025) · Nature Communications · doi:10.1038/s41467-024-55257-z · Cited by 32
“To illustrate the mapping results, each Patch-seq cell was positioned at the median UMAP coordinates of its ten nearest neighbors in snRNA-seq UMAP embeddings, as determined by Pearson correlation 28,114 .”
InfluentialSelf-citationDobrzański, G., Łukomska, A., Zakrzewska, R., Posluszny, A., Kanigowski, D., Urban‐Ciećko, J., Liguz‐Lecznar, M., & Kossut, M. M. (2021) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2021.119146 · Cited by 20
Signature morpho-electric properties of diverse GABAergic interneurons in the human neocortexPreprint
Lee, B., Dalley, R. A., Miller, J. A., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.08.515739 · Cited by 22
“Mouse Sst Hpse Cbln4 neurons are predominately found in L4 and have extensive axonal branching that strongly innervates L4 (16, 40), which is similar to what we see for L4-5 SST STK32A neurons (Fig.”
ResultNeocortical somatostatin neuron diversity in cognition and learning
Park, E., Mosso, M. B., & Barth, A. L. (2025) · Trends in Neurosciences · doi:10.1016/j.tins.2024.12.004 · Cited by 22
“And in V1, >90% of SST neurons in super fi cial layers express Calb2, unlike S1 where ~40% of SST neurons in L2/3 are Calb2+ [39].”
InfluentialIntegrating multimodal data to understand cortical circuit architecture and function
Arkhipov, A. S., da Costa, N. M., de Vries, S. E. J., Bakken, T. E., Bennett, C., Bernard, A., Berg, J., Buice, M. A., Collman, F., Daigle, T. L., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01904-7 · Cited by 24
“…to correspond to distinct me-characteristics of Sst interneuron types between the primary visual (V1) and primary somatosensory (S1) cortical areas 36 , and differences in electrophysiological responses to pharmacological manipulations of NPY + interneurons between the auditory cortex and…”
Rate and oscillatory switching dynamics of a multilayer visual microcircuit model
Hahn, G., Kumar, A., SCHMIDT, H. J., Knösche, T. R., & Deco, G. (2022) · eLife · doi:10.7554/elife.77594 · Cited by 19
Ong, R. C. S., & Tang, A. D. (2025) · Science Advances · doi:10.1126/sciadv.ado6705 · Cited by 22
Donato, C., Victorino, D. B., Cabezas, C., Aguirre, A., Lourenço, J., Potier, M., Martín, J. Z. D. S., & Bacci, A. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1661-21.2022 · Cited by 19
Zhou, X., Mansori, I., Fischer, T., Witte, M., & Staiger, J. F. (2020) · Journal of Comparative Neurology · doi:10.1002/cne.24756 · Cited by 18
Lusk, S. J., McKinney, A., Hunt, P. J., Fahey, P. G., Patel, J. M., Chang, A., Sun, J. J., Martinez, V. K., Zhu, P. J., Egbert, J. R., et al. (2022) · BMC Biology · doi:10.1186/s12915-022-01227-0 · Cited by 17
Self-citationInput-specific synaptic depression shapes temporal integration in mouse visual cortex
Li, J. Y., & Glickfeld, L. L. (2023) · Neuron · doi:10.1016/j.neuron.2023.07.003 · Cited by 21
Transcranial Magnetic Stimulation and Neocortical Neurons: The Micro-Macro Connection
Tian, D., & Izumi, S. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.866245 · Cited by 18
Dynamics of neocortical networks: connectivity beyond the canonical microcircuit
Luhmann, H. J. (2023) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-023-02830-y · Cited by 18
An unsupervised map of excitatory neuron dendritic morphology in the mouse visual cortex
Weis, M. A., Papadopoulos, S., Hansel, L., Lüddecke, T., Celii, B., Fahey, P. G., Wang, E. Y., Bae, J. A., Bodor, A. L., Brittain, D., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58763-w · Cited by 28
“Itis ,therefore,temptingtospeculatethatthese atufted, L5-avoiding L4 neurons might be precursors of spiny stellate cells, which are nearly absent in the mouse visual cortex 28 , but exist only in somewhat more developed sensory areas like barrel cortex or in cat and primate V1.”
Self-citationInnate frequency-discrimination hyperacuity in Williams-Beuren syndrome mice
Davenport, C. M., Teubner, B. J. W., Han, S. B., Patton, M. H., Eom, T.-Y., Garić, D., Lansdell, B., Shirinifard, A., Chang, T., Klein, J. D., et al. (2022) · Cell · doi:10.1016/j.cell.2022.08.022 · Cited by 17
Young, T. R., Yamamoto, M., Kikuchi, S. S., Yoshida, A., Abe, T., Inoue, K., Johansen, J. P., Benucci, A., Yoshimura, Y., & Shimogori, T. (2023) · Nature Communications · doi:10.1038/s41467-023-41749-x · Cited by 18
“…that align with distinct L4 spiny stellate neuron distributions observed across different species: for example, nocturnal rodent species display a high abundance of L4 spiny stellate neurons in whisker-related somato-sensory cortex, with relatively few being found in visual cortex 68 – 70 .”
Connecting single-cell transcriptomes to projectomes in the mouse visual cortex
Sorensen, S. A., Gouwens, N. W., Wang, Y., Mallory, M., Budzillo, A., Dalley, R. A., Lee, B., Gliko, O., Kuo, H.-C., Kuang, X., et al. (2026) · Nature · doi:10.1038/s41586-026-10424-8 · Cited by 13
Huang, J., Sheng, J., & Wang, D. (2021) · Communications Biology · doi:10.1038/s42003-021-02807-6 · Cited by 12
“In particular, we focused on two major brain regions, mouse visual cortex and motor cortex, and used the latest Patch-seq data from Allen Brain Atlas in the BRAIN Initiative 5,13,14 (Methods).”
MethodMontinaro, C., Pisanello, M., Bianco, M., Spagnolo, B., Pisano, F., Balena, A., Nuccio, F. D., Lofrumento, D. D., Verri, T., Vittorio, M. D., et al. (2021) · Biomedical Optics Express · doi:10.1364/boe.439848 · Cited by 16
“toward LI and LII-III, with respect to typical LV pyramidal neurons [30].”
BackgroundLateral inhibition in V1 controls neural and perceptual contrast sensitivity
Rosario, J. D., Coletta, S., Kim, S. H., Mobille, Z., Peelman, K., Williams, B., Otsuki, A. J., Valerio, A. D. C., Worden, K., Blanpain, L. T., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01888-4 · Cited by 23
“48 ).”
InfluentialCellular and Circuit Organization of the Locus Coeruleus of Adult MicePreprint
McKinney, A., Hu, M. Y., Hoskins, A., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.01.481656 · Cited by 16
“An excitatory synaptic connection is identified if the excitatory postsynaptic potentials (EPSPs) in potential postsynaptic neurons are time-locked to presynaptic APs (Jiang et al., 2015; Scala et al., 2019).”
BackgroundSelf-citationLearning the Architectural Features That Predict Functional Similarity of Neural Networks
Haber, A., & Schneidman, E. (2022) · Physical Review X · doi:10.1103/physrevx.12.021051 · Cited by 14
Camuñas-Soler, J. (2023) · Biophysical Reviews · doi:10.1007/s12551-023-01174-2 · Cited by 17
“They were followed by additional studies on other neuronal subtypes and brain regions by the same labs (Scala et al. 2019; Que et al. 2021; Oláh et al. 2020; Muñoz-Manchado et al. 2018), and others (Ellender et al. 2019; Luo et al. 2019), and studies using isolated iPSC-derived neurons (Bardy et…”
BackgroundMethodIntersectional strategy to study cortical inhibitory parvalbumin-expressing interneurons
Palicz, R., Pater, B. A., Truschow, P., Witte, M., & Staiger, J. F. (2024) · Scientific Reports · doi:10.1038/s41598-024-52901-y · Cited by 13
Transcriptomic cell-type specificity of local cortical circuits
Patiño, M., Rossa, M., Lagos, W. N., Patne, N. S., & Callaway, E. M. (2024) · Neuron · doi:10.1016/j.neuron.2024.09.003 · Cited by 18
de Kock, C. P. J., & Feldmeyer, D. (2023) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2023.1274383 · Cited by 13
Swain, A. K., Pandit, V., Sharma, J., & Yadav, P. (2024) · Communications Biology · doi:10.1038/s42003-024-06349-5 · Cited by 18
Sub-threshold neuronal activity and the dynamical regime of cerebral cortex
Amsalem, O., Inagaki, H., Yu, J., Svoboda, K., & Darshan, R. (2024) · Nature Communications · doi:10.1038/s41467-024-51390-x · Cited by 13
Dembrow, N. C., Sawchuk, S., Dalley, R. A., Opitz-Araya, X., Hudson, M., Radaelli, C., Alfiler, L., Walling-Bell, S., Bertagnolli, D., Goldy, J., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114718 · Cited by 14
“17-22 However, with few exceptions in the mouse neocortex, 23 whether such distinctions are conserved across neocortical areas remains largely untested.”
Chaotic recurrent neural networks for brain modelling: A review
Mattera, A., Alfieri, V., Granato, G., & Baldassarre, G. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.107079 · Cited by 19
Qi, G., & Feldmeyer, D. (2022) · Frontiers in Neural Circuits · doi:10.3389/fncir.2022.843025 · Cited by 10
Pineau, L., Buhler, E., Tarhini, S., Bauer, Š., Crépel, V., Françoise Watrin, A., Cardoso, C., Represa, A., Szepetowski, P., & Burnashev, N. (2024) · Epilepsia · doi:10.1111/epi.18000 · Cited by 12
“%) of all excitatory neurons in layer 4 of somatosensory cortex in rodents, 19,20 were performed at room temperature (22–25°C) in Mg 2 + - free medium to obtain the contribution of the NMDAR-mediated component.”
Characterization of mWake expression in the murine brain
Bell, B. J., Wang, A. A., Kim, D. W., Xiong, J., Blackshaw, S., & Wu, M. N. (2020) · The Journal of Comparative Neurology · doi:10.1002/cne.25066 · Cited by 12
Liu, L., Zhang, Y., & Ju, J. (2022) · Neuroscience Letters · doi:10.1016/j.neulet.2022.136763 · Cited by 10
Burkhalter, A., D’Souza, R. D., Ji, W., & Meier, A. M. (2023) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-083122-021241 · Cited by 13
Patch-seq: Advances and Biological Applications
Shao, M., Zhang, W., Li, Y., Tang, L., Hao, Z.-Z., & Liu, S. (2023) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-023-01436-3 · Cited by 10
“Patch-seq technology has been successfully applied to the cortex (Mahfooz and Ellender 2021; Oberst et al. 2019; Scala et al. 2019), hippocampus (Oláh et al. 2020; Qiu et al. 2012; Winterer et al. 2019), retina (Laboissonniere et al. 2019; Huang et al. 2022), and cultured neurons (van den Hurk et…”
Local Connectivity and Synaptic Dynamics in Mouse and Human NeocortexPreprint
Campagnola, L., Seeman, S. C., Chartrand, T., Kim, L., Hoggarth, A., Gamlin, C. R., Ito, S., Trinh, J., Davoudian, P. A., Radaelli, C., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.31.437553 · Cited by 53
MorphoPy: A python package for feature extraction of neural morphologies.
Laturnus, S., von Daranyi, A., Huang, Z., & Berens, P. (2020) · The Journal of Open Source Software · doi:10.21105/joss.02339 · Cited by 9
“It has already been used in a series of scientific publications that relate transcriptome, electrophysiology and morphology of cortical interneurons in V1 and M1 (Scala et al., 2020, 2019).”
MethodSelf-citationMorales, L., González‐Alonso, A., Desfilis, E., & Medina, L. M. (2022) · Frontiers in Neural Circuits · doi:10.3389/fncir.2022.831074 · Cited by 10
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks
McDougal, R. A., Conte, C., Eggleston, L., Newton, A. J. H., & Galijasevic, H. (2022) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2022.847108 · Cited by 8
“, 2020), 2017-25-04-slice-2-cell-2-rotated (Scala et al., 2019), 070601-exp1-zB (Groh et al.”
Sparse reduced-rank regression for exploratory visualization of paired multivariate datasetsPreprint
Kobak, D., Bernaerts, Y., Weis, M. A., Scala, F., Tolias, A. S., & Berens, P. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/302208 · Cited by 14
Self-citationAn unsupervised map of excitatory neurons’ dendritic morphology in the mouse visual cortexPreprint
Weis, M. A., Papadopoulos, S., Hansel, L., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.22.521541 · Cited by 9
Self-citationPyramidal neurons proportionately alter cortical interneuron subtypes
Wu, S. J., Dai, M., Yang, S.-P., McCann, C., Qiu, Y., Kumar, V., Marrero, G. J., Tsyporin, J., Huang, S., Shin, D., et al. (2026) · Nature · doi:10.1038/s41586-025-09996-8 · Cited by 26
Freitag, F. B., Ahemaiti, A., Weman, H. M., Ambroz, K., & Lagerström, M. C. (2021) · Scientific Reports · doi:10.1038/s41598-021-82649-8 · Cited by 10
Cortical somatostatin interneuron subtypes form cell-type specific circuitsPreprint
Wu, S. J., Sevier, E., Saldi, G.-A., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.29.510081 · Cited by 8
“28 Genetic targeting of different SST subtypes reveals stereotyped axonal projection patterns Based on marker gene expression, we designed direct and inter-sectional genetic strategies to target either one or a combination of multiple SST interneuron subtypes (Table S3).”
InfluentialCortical layering disrupts multi-electrode current steering
Meikle, S. J., Hagan, M. A., Price, N. S. C., & Wong, Y. T. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acdaf7 · Cited by 7
“Both of these phenomena would be mitigated by a change in the electrode array orientation to parallel with the cortical surface since the horizontal connections are smaller in length resulting in a less distributed response [48].”
BackgroundKanigowski, D., & Urban‐Ciećko, J. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae109 · Cited by 6
“Not only do L4 excitatory neurons create reciprocal connections with local PV-INs and SST-INs but also theseinterneuronsarehighlyinterconnected(Beierleinetal.2003; Gabernet et al. 2005; Inoue and Imoto 2006; Ma et al. 2012; Xu et al. 2013; Koelbl et al. 2015; Scala et al. 2019).”
BackgroundOligodendrocyte Secreted Factors Shape Hippocampal GABAergic Neuron Transcriptome and Physiology
Mazuir, E., Richevaux, L., Nassar, M., Robil, N., de la Grange, P., Lubetzki, C., Fricker, D., & Sol‐Foulon, N. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab139 · Cited by 10
The Organization of Somatostatin-Immunoreactive Cells in the Visual Cortex of the Gerbil
Kwon, K.-M., Lee, M.-J., Chung, H.-S., Pak, J.-H., & Jeon, C. (2022) · Biomedicines · doi:10.3390/biomedicines10010092 · Cited by 4
Cortical interneurons: fit for function and fit to function? Evidence from development and evolution
Keijser, J., & Sprekeler, H. (2023) · Frontiers in Neural Circuits · doi:10.3389/fncir.2023.1172464 · Cited by 9
“[82] Federico Scala, Dmitry Kobak, Shen Shan, Yves Bernaerts, Sophie Laturnus, Cathryn Rene Cadwell, 599 Leonard Hartmanis, Emmanouil Froudarakis, Jesus Ramon Castro, Zheng Huan Tan, et al.”
BackgroundDistinct feedforward and feedback pathways for cell-type specific attention effectsPreprint
Spyropoulos, G., Schneider, M., van Kempen, J., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.04.515185 · Cited by 7
Somatostatin interneurons control the timing of developmental desynchronization in cortical networksPreprint
Mòdol, L., Moissidis, M., & Marín, Ó. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.21.572767 · Cited by 7
Long-range axon branching: contributions to brain network plasticity and repair
Richards, L. J., Huang, C., Bauer, A. Q., & Lee, J. (2026) · Nature reviews. Neuroscience · doi:10.1038/s41583-025-01008-y · Cited by 9
Courcelles, E. J., Kjelsberg, K., Convertino, L., Nair, R. R., Witter, M. P., & Nigro, M. J. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16341 · Cited by 5
“Other studies have highlighted the distribution of specific cell types across cortical areas, pinpointing at regional specializations (Scala et al., 2019).”
BackgroundGawryluk, A., Cybulska-Kłosowicz, A., Charzyńska, A., Zakrzewska, R., Sobolewska, A., Kossut, M. M., & Liguz‐Lecznar, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-70261-5 · Cited by 7
“One of the functions of SOM INs is to regulate the activity of parvalbumin-containing neurons (PV INs), which are activated by tactile stimuli and, in turn, exert a strong inhibitory effect on excitatory cells 81,82 .”
BackgroundShape-aware stochastic neighbor embedding for robust data visualisations
Wängberg, T., Tyrcha, J., & Li, C. (2022) · BMC Bioinformatics · doi:10.1186/s12859-022-05028-8 · Cited by 6
Distribution of calbindin-positive neurons across areas and layers of the marmoset cerebral cortex
Atapour, N., Rosa, M. G. P., Bai, S., Bednarek, S., Kulesza, A., Saworska, G., Teymornejad, S., Worthy, K. H., & Majka, P. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012428 · Cited by 8
Meyer, C. M., Vafaeva, O., Low, H., Speca, D. J., & Dı́az, E. (2025) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2025.104015 · Cited by 5
“Sections were then incubated with secondary antibody in the incubation buffer for 1 hour at RT on the shaker, protected from light.”
Patch-seq: Multimodal Profiling of Single-Cell Morphology, Electrophysiology, and Gene Expression
Cadwell, C. R., & Tolias, A. S. (2024) · Methods in molecular biology · doi:10.1007/978-1-0716-3621-3_15 · Cited by 4
Self-citationJiang, H.-J., Qi, G., Duarte, R., Feldmeyer, D., & van Albada, S. J. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae378 · Cited by 12
Metadata
- Authors
- Scala, F., Kobak, D., Shan, S., Bernaerts, Y., Laturnus, S., Cadwell, C. R., Hartmanis, L., Froudarakis, E., Castro, J. R., Tan, Z. H., Papadopoulos, S., Patel, S. S., Sandberg, R., Berens, P., Jiang, X., & Tolias, A. S.
- Affiliations
- Baylor College of Medicine (US)
- University of Tübingen (DE)
- Karolinska Institutet (SE)
- Corresponding author
- Jiang, Xiaolong
- Tolias, Andreas Savas
- ORCID
- Venue
- Nature Communications
- Published
- 2019-09-13
- Volume
- 10
- Issue
- 1
- Pages
- 4174-4174
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC6744474
- OpenAlex
- W2973144132
- Semantic Scholar
- 37f874c21f68b57cf82e9d67a01769a259bbe382
- Cited by
- 193
- References
- 95
- Citations by year
- 2026: 16 · 2025: 37 · 2024: 27 · 2023: 42 · 2022: 31 · 2021: 20 · 2020: 13 · 2019: 6
- FWCI
- 8.36
- Type
- journal article
- Language
- en
- Update notices
- correction (2019-11-04)
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- National Science Foundation (1707359)
- Deutsche Forschungsgemeinschaft (EXC2064, (BE5601/4-1, 276693517, 390727645, SFB1233)
- Bundesministerium für Bildung und Forschung (FKZ 01GQ1601, 01GQ1601)
- National Institutes of Health
- Intelligence Advanced Research Projects Activity (D16PC00003)
- Interior Business Center
- National Institute of Mental Health (R01MH109556, R01MH120404, MH109556, R01MH122169, U19MH114830)
- National Institute of Neurological Disorders and Stroke
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- layer 4, neocortex, mouse visual cortex, somatosensory cortex, cortical cell types, Martinotti cells, somatostatin interneurons, pyramidal neurons, stellate neurons, inhibitory interneurons, excitatory-inhibitory connectivity
- MeSH terms
- Animals, Electrophysiology, Female, Interneurons, Male, Neurons, Somatosensory Cortex, Somatostatin, Neocortex, Mice
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