Details

kind
infographic
provider
other
section_id
section_06_evidence_package
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewSST/blob/89b7e9787cd90e942b0adb531d549af3ddad30f1/evidence/section_06_evidence_package.json
target_ref
wiki_page:computationalreviewsst-06
review_repo
ComputationalReviewSST
section_ref
wiki_page:computationalreviewsst-06
source_path
evidence/section_06_evidence_package.json
section_title
Synaptic Properties and Connectivity
generation_status
complete
review_bundle_ref
analysis_bundle:ab-8466d095488a
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewSST/blob/89b7e9787cd90e942b0adb531d549af3ddad30f1/evidence/section_06_evidence_package.json
commit_sha
89b7e9787cd90e942b0adb531d549af3ddad30f1
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewSST
Raw fields (4)
prompt
Electrical coupling via gap junctions (connexin36) among SST/LTS interneurons is a consistent finding across multiple labs and species, enabling synchronous firing. The coupling is class-specific (SST-SST but not SST-PV) and strong enough to synchronize spikes.
raw_fields
{
  "papers": [
    {
      "doi": "10.1038/47035",
      "value": "strong electrical coupling within class; absent between classes",
      "method": "paired whole-cell recording",
      "metric": "LTS-LTS electrical coupling",
      "cite_key": "Gibson1999",
      "condition": "somatosensory cortex, layer 4, P13-16",
      "study_system": "rat",
      "value_source_sentence": "Paired-cell recordings showed that inhibitory neurons of the same type were strongly interconnected by electrical synapses, but electrical synapses between different inhibitory cell types were rare."
    },
    {
      "doi": "10.1152/jn.00283.2003",
      "value": "LTS cells electrically coupled; synchronize at theta frequencies",
      "method": "paired recording",
      "metric": "LTS network electrical coupling",
      "cite_key": "Beierlein2003",
      "condition": "somatosensory cortex, layer 4",
      "study_system": "mouse",
      "value_source_sentence": "Two dynamically distinct inhibitory networks in layer 4 of the neocortex."
    },
    {
      "doi": "10.1016/s0896-6273(01)00373-7",
      "value": "Cx36 knockout eliminates interneuron electrical coupling and synchronous activity",
      "method": "Cx36 knockout, paired recording",
      "metric": "Cx36-dependent electrical coupling",
      "cite_key": "Deans2001",
      "condition": "neocortex",
      "study_system": "mouse",
      "value_source_sentence": "Synchronous activity of inhibitory networks in neocortex requires electrical synapses containing connexin36."
    },
    {
      "doi": "10.1152/jn.90691.2008",
      "value": "theta-frequency (3-10 Hz) synchronous firing proportional to coupling strength",
      "method": "paired recording, GIN transgenic",
      "metric": "SST/GIN cell electrical coupling and synchronization",
      "cite_key": "Fanselow2008",
      "condition": "somatosensory cortex, layer 2/3",
      "study_system": "mouse",
      "value_source_sentence": "Synchronous firing was often observed and its strength was directly proportional to the magnitude of electrical coupling between GIN cells."
    }
  ],
  "comparison_id": "sst-electrical-coupling",
  "comparison_name": "Electrical Coupling Among SST/LTS Interneurons: Properties and Functional Significance",
  "comparison_type": "convergent evidence",
  "what_it_reveals": "Electrical coupling via gap junctions (connexin36) among SST/LTS interneurons is a consistent finding across multiple labs and species, enabling synchronous firing. The coupling is class-specific (SST-SST but not SST-PV) and strong enough to synchronize spikes.",
  "homogeneity_check": {
    "caveats": [
      "Different species (rat vs mouse), different ages (juvenile vs adult), different layers"
    ],
    "n_definition": "paired recordings",
    "scope_region": "somatosensory cortex across studies",
    "scope_population": "LTS/SST/GIN interneurons"
  },
  "suggested_plot_type": "grouped bar"
}
source_refs
[
  "paper:paper-2825244ee6d0",
  "paper:paper-7b76a9ffb80b",
  "paper:paper-7fa9372405b6",
  "paper:paper-b2fe37fe47cf"
]
source_policy
{
  "mode": "public_source_pointer_with_short_context",
  "notes": [
    "Local review repositories are read-only inputs.",
    "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
  ],
  "source_commit_sha": "89b7e9787cd90e942b0adb531d549af3ddad30f1",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST"
}

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