Evidence map›Paper›PMID 30174592›Full record

ArticleFrontiers in neuroanatomy2018

Parallel Development of Chromatin Patterns, Neuron Morphology, and Connections: Potential for Disruption in Autism.

Miguel Á García-Cabezas, Helen Barbas, Basilis Zikopoulos

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroanatomy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Review
  3. Artificial Intelligence Networks Combining Histopathology and Machine Learning Can Extract Axon Pathology in Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Development of prefrontal cortex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Review
  15. Article
  16. Article
  17. Closing the gap from transcription to the structural connectome enhances the study of connections in the human brain.Developmental dynamics : an official publication of the American Association of Anatomists · 2020
    Review
  18. Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Miguel Á García-CabezasNeural Systems Laboratory, Department of Health Sciences, Boston University, Boston, MA, United States.
Helen BarbasNeural Systems Laboratory, Department of Health Sciences, Boston University, Boston, MA, United States.
Basilis ZikopoulosGraduate Program in Neuroscience, Boston University, Boston, MA, United States.
Boston University · US

Funding

ORGANIZATION OF PREFRONTAL FEEDBACK CIRCUITSR01MH057414 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BARBAS, HELEN · 1999 to 2020
$7.3M
Prefrontal Anatomic Pathways in Executive ControlR01NS024760 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BARBAS, HELEN · 1987 to 2017
$6.7M
Prefrontal Anatomic Pathways in Executive ControlR01MH117785 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BARBAS, HELEN · 2018 to 2024
$4.6M
Organization of Excitatory and Inhibitory Circuits in ASDR01MH101209 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI ZIKOPOULOS, VASILEIOS · 2014 to 2018
$2.0M
Prefrontal Anatomic Pathways in Executive ControlR56NS024760 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BARBAS, HELEN · 2015 to 2015
$567k
NIMH NIH HHS R01 MH057414NIMH NIH HHS R01 MH101209NIMH NIH HHS R01 MH117785NINDS NIH HHS R01 NS024760NINDS NIH HHS R56 NS024760
6 · The paper itself

Abstract

The phenotype of neurons and their connections depend on complex genetic and epigenetic processes that regulate the expression of genes in the nucleus during development and throughout life. Here we examined the distribution of nuclear chromatin patters in relation to the epigenetic landscape, phenotype and connections of neurons with a focus on the primate cerebral cortex. We show that nuclear patterns of chromatin in cortical neurons are related to neuron size and cortical connections. Moreover, we point to evidence that reveals an orderly sequence of events during development, linking chromatin and gene expression patterns, neuron morphology, function, and connections across cortical areas and layers. Based on this synthesis, we posit that systematic studies of changes in chromatin patterns and epigenetic marks across cortical areas will provide novel insights on the development and evolution of cortical networks, and their disruption in connectivity disorders of developmental origin, like autism. Achieving this requires embedding and interpreting genetic, transcriptional, and epigenetic studies within a framework that takes into consideration distinct types of neurons, local circuit interactions, and interareal pathways. These features vary systematically across cortical areas in parallel with laminar structure and are differentially affected in disorders. Finally, based on evidence that autism-associated genetic polymorphisms are especially prominent in excitatory neurons and connectivity disruption affects mostly limbic cortices, we employ this systematic approach to propose novel, targeted studies of projection neurons in limbic areas to elucidate the emergence and time-course of developmental disruptions in autism.

Indexed as

autismdevelopmentepigeneticshistone modificationlimbic cortexneural pathwaysopen chromatinprojection neuron

Identifiers

PMID30174592
PMCPMC6107687
OpenAlexW2886561010

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.