Evidence map›Paper›PMID 33357401›Full record

ArticleCell2020

BRICseq Bridges Brain-wide Interregional Connectivity to Neural Activity and Gene Expression in Single Animals.

Longwen Huang, Justus M Kebschull, Daniel Fürth, Simon Musall, Matthew T Kaufman, Anne K Churchland, Anthony M Zador

Abstract readPublished Erratum
In one paragraph

Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. MAPseq2: a sensitive barcoded connectomics method.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. The connectome of an insect brain.Science (New York, N.Y.) · 2023
    Article
  8. Article
  9. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Longwen Huang
Justus M Kebschull
Daniel Fürth
Simon Musall
Matthew T Kaufman
Anne K Churchland
Anthony M Zador

Funding

SYNPLA: A scaleable method for monitoring circuit-specific learning-induced changes in synaptic strengthU01MH109113 · NIMH · COLD SPRING HARBOR LABORATORY · PI MALINOW, ROBERTO, ZADOR, ANTHONY M · 2015 to 2017
$2.9M
High throughput mapping of neuronal circuitry using DNA sequencingRF1MH114132 · NIMH · COLD SPRING HARBOR LABORATORY · PI ZADOR, ANTHONY M · 2017 to 2017
$2.7M
High-throughput DNA sequencing method for probing the connectivity of neural circR01NS073129 · NINDS · COLD SPRING HARBOR LABORATORY · PI ZADOR, ANTHONY M · 2010 to 2014
$2.3M
CRCNS: Theory and experiment of neural circuit mapping by DNA sequencingR01DA036913 · NIDA · COLD SPRING HARBOR LABORATORY · PI KOULAKOV, ALEXEI, ZADOR, ANTHONY M · 2013 to 2017
$2.1M
NIDA NIH HHS R01 DA036913NIMH NIH HHS RF1 MH114132NIMH NIH HHS U01 MH109113NINDS NIH HHS R01 NS073129
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID33357401
PMCPMC8830377

What OpenQuestion holds

Textmetadata
LicenceTDM
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.