Evidence map›Paper›PMID 30462609›Full record

ArticleeLife2018

Macro-connectomics and microstructure predict dynamic plasticity patterns in the non-human primate brain.

Sean Froudist-Walsh, Philip Gf Browning, James J Young, Kathy L Murphy, Rogier B Mars, Lazar Fleysher, Paula L Croxson

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Circuit-Based Approaches to Understanding the Anterior Cingulate Cortex (ACC).The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  2. Article
  3. Review
  4. What can neuroimaging of neuromodulation reveal about the basis of circuit therapies for psychiatry?Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  5. Article
  6. Article
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  9. Review
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  11. Article
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  16. Article
  17. Large-scale comparative neuroimaging: Where are we and what do we need?Cortex; a journal devoted to the study of the nervous system and behavior · 2019
    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

7 authors.

Sean Froudist-WalshDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID 0000-0003-4070-067X
Philip Gf BrowningDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.
James J YoungDepartment of Neurology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID 0000-0001-9349-7519
Kathy L MurphyComparative Biology Centre, Medical School, Newcastle University, United Kingdom.
Rogier B MarsCentre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-6302-8631
Lazar FleysherDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, United States.
Paula L CroxsonDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID 0000-0002-4649-980X

Funding

Mount Sinai Neurology Resident-Researcher Training ProgramR25NS079102 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HADJIPANAYIS, CONSTANTINOS GEORGE, HAVTON, LEIF A · 2012 to 2022
$1.1M
Biotechnology and Biological Sciences Research Council BB/N019814/1NINDS NIH HHS R25 NS079102
6 · The paper itself

Abstract

The brain displays a remarkable ability to adapt following injury by altering its connections through neural plasticity. Many of the biological mechanisms that underlie plasticity are known, but there is little knowledge as to when, or where in the brain plasticity will occur following injury. This knowledge could guide plasticity-promoting interventions and create a more accurate roadmap of the recovery process following injury. We causally investigated the time-course of plasticity after hippocampal lesions using multi-modal MRI in monkeys. We show that post-injury plasticity is highly dynamic, but also largely predictable on the basis of the functional connectivity of the lesioned region, gradients of cell densities across the cortex and the pre-lesion network structure of the brain. The ability to predict which brain areas will plastically adapt their functional connectivity following injury may allow us to decipher why some brain lesions lead to permanent loss of cognitive function, while others do not.

Indexed as

ConnectomeAnimalsBrainCell CountFemaleGray MatterHippocampusHumansMacacaMagnetic Resonance ImagingMaleNeuronal PlasticityNeuronsPrimateshippocampusmultimodal MRInetwork analysisneuroscienceneurotoxic lesionsnon-human primatesplasticityrhesus macaque

Identifiers

PMID30462609
PMCPMC6249000

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.