Evidence map›Paper›PMID 33978507›Full record

ArticleJournal of neurophysiology2021

Inferring thalamocortical monosynaptic connectivity in vivo.

Yi Juin Liew, Aurélie Pala, Clarissa J Whitmire, William A Stoy, Craig R Forest, Garrett B Stanley

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Multiple Distinct Timescales of Rapid Sensory Adaption in the Thalamocortical Circuit.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Fast-Spike Interneurons in Visual Cortical Layer 5: Heterogeneous Response Properties Are Related to Thalamocortical Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Article
  6. In vivo microelectrode arrays for neuroscience.Nature reviews. Methods primers · 2025
    Article
  7. Article
  8. Article
  9. Visual Corticotectal Neurons in Awake Rabbits: Receptive Fields and Driving Monosynaptic Thalamocortical Inputs.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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  20. Pain Relief in a Trigeminal Neuralgia ModelFrontiers in cellular neuroscience · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Yi Juin LiewWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia.
Aurélie PalaWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia.ORCID 0000-0002-9910-8470
Clarissa J WhitmireWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia.ORCID 0000-0001-5789-4293
William A StoyWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia.ORCID 0000-0001-9425-0809
Craig R ForestGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia.
Garrett B StanleyWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia.ORCID 0000-0003-2039-7706
Georgia Institute of Technology · US

Funding

Novel Platforms for Systematic Optical Control of Complex Neural Circuits In VivoR01DA029639 · NIDA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S. · 2010 to 2023
$6.7M
Scalable Cell- and Circuit-Targeted ElectrophysiologyR01NS102727 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., FOREST, CRAIG · 2017 to 2020
$2.2M
Thalamocortical state control of tactile sensing: Mechanisms, Models, and BehaviorR01NS104928 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI STANLEY, GARRETT B. · 2018 to 2022
$2.1M
In-vivo circuit activity measurement at single cell, sub-threshold resolutionU01MH106027 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI FOREST, CRAIG, STANLEY, GARRETT B. · 2014 to 2016
$1.5M
Interhemispheric interactions underlying bilateral somatosensationR21NS112783 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI STANLEY, GARRETT B. · 2020 to 2021
$428k
NIDA NIH HHS R01 DA029639NIMH NIH HHS U01 MH106027NINDS NIH HHS R01 NS102727NINDS NIH HHS R01 NS104928NINDS NIH HHS R21 NS112783
6 · The paper itself

Abstract

As the tools to simultaneously record electrophysiological signals from large numbers of neurons within and across brain regions become increasingly available, this opens up for the first time the possibility of establishing the details of causal relationships between monosynaptically connected neurons and the patterns of neural activation that underlie perception and behavior. Although recorded activity across synaptically connected neurons has served as the cornerstone for much of what we know about synaptic transmission and plasticity, this has largely been relegated to ex vivo preparations that enable precise targeting under relatively well-controlled conditions. Analogous studies in vivo, where image-guided targeting is often not yet possible, rely on indirect, data-driven measures, and as a result such studies have been sparse and the dependence upon important experimental parameters has not been well studied. Here, using in vivo extracellular single-unit recordings in the topographically aligned rodent thalamocortical pathway, we sought to establish a general experimental and computational framework for inferring synaptic connectivity. Specifically, attacking this problem within a statistical signal detection framework utilizing experimentally recorded data in the ventral-posterior medial (VPm) region of the thalamus and the homologous region in layer 4 of primary somatosensory cortex (S1) revealed a trade-off between network activity levels needed for the data-driven inference and synchronization of nearby neurons within the population that results in masking of synaptic relationships. Here, we provide a framework for establishing connectivity in multisite, multielectrode recordings based on statistical inference, setting the stage for large-scale assessment of synaptic connectivity within and across brain structures.

Indexed as

AnimalsElectric StimulationElectrocorticographyEvoked PotentialsFemaleMaleMiceMice, Inbred C57BLNerve NetOptical ImagingRatsRats, Sprague-DawleySomatosensory CortexSynaptic TransmissionThalamusVibrissaecausalitycross correlationinferencesignal detectionthalamocortical circuit

Identifiers

PMID33978507
PMCPMC8285656
OpenAlexW3161508021

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.