Evidence map›Paper›PMID 35471543›Full record

ArticleAdvances in experimental medicine and biology2022

Reconstruction of the Hippocampus.

Armando Romani, Felix Schürmann, Henry Markram, Michele Migliore

Abstract read
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In one paragraph

Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Identification of a Hippocampus-to-Zona Incerta Projection involved in Motor Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  4. Article
  5. Article
  6. Quantitative analysis of the optogenetic excitability of CA1 neurons.Frontiers in computational neuroscience · 2023
    Article
  7. Article
  8. Review
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

4 authors.

Armando RomaniBlue Brain Project, École polytechnique fédérale de Lausanne (EPFL), Geneva, Switzerland. armando.romani@epfl.ch.
Felix SchürmannBlue Brain Project, École polytechnique fédérale de Lausanne (EPFL), Geneva, Switzerland.
Henry MarkramBlue Brain Project, École polytechnique fédérale de Lausanne (EPFL), Geneva, Switzerland.
Michele MiglioreInstitute of Biophysics, National Research Council, Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hippocampus is a widely studied brain region thought to play an important role in higher cognitive functions such as learning, memory, and navigation. The amount of data on this region increases every day and delineates a complex and fragmented picture, but an integrated understanding of hippocampal function remains elusive. Computational methods can help to move the research forward, and reconstructing a full-scale model of the hippocampus is a challenging yet feasible task that the research community should undertake.In this chapter, we present strategies for reconstructing a large-scale model of the hippocampus. Based on a previously published approach to reconstruct and simulate brain tissue, which is also explained in Chap. 10 , we discuss the characteristics of the hippocampus in the light of its special anatomical and physiological features, data availability, and existing large-scale hippocampus models. A large-scale model of the hippocampus is a compound model of several building blocks: ion channels, morphologies, single cell models, connections, synapses. We discuss each of those building blocks separately and discuss how to merge them back and simulate the resulting network model.

Indexed as

HippocampusLearningBrainCognitionSynapsesCA1CompartmentalData-driveHippocampusLarge-scale

Identifiers

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.