Evidence map›Paper›PMID 37612141›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2023

Neuroscience Needs Network Science.

Dániel L Barabási, Ginestra Bianconi, Ed Bullmore, Mark Burgess, SueYeon Chung, Tina Eliassi-Rad, Dileep George, István A Kovács, Hernán Makse, Thomas E Nichols and 10 more

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Neurodatascience: Past, Present, and Future.Data science in science · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Dániel L BarabásiBiophysics Program, Harvard University, Cambridge, 02138, Massachusetts danielbarabasi@gmail.com Gyorgy.Buzsaki@nyulangone.org.ORCID 0000-0001-6015-7534
Ginestra BianconiSchool of Mathematical Sciences, Queen Mary University of London, London, E1 4NS, United Kingdom.ORCID 0000-0002-3380-887X
Ed BullmoreDepartment of Psychiatry and Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, CB2 0QQ, United Kingdom.
Mark BurgessChiTek-i AS, Oslo, 0476, Norway.ORCID 0000-0003-0985-4603
SueYeon ChungCenter for Neural Science, New York University, New York, New York 10003.
Tina Eliassi-RadNetwork Science Institute, Northeastern University, Boston, 02115, Massachusetts.
Dileep GeorgeDeepMind, London, EC4A 3TW, United Kingdom.
István A KovácsDepartment of Physics and Astronomy, Northwestern University, Evanston, Illinois 60208.
Hernán MakseLevich Institute and Physics Department, City College of New York, New York, New York 10031.
Thomas E NicholsBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, United Kingdom.ORCID 0000-0002-4516-5103
Christos PapadimitriouColumbia University, New York, New York 10027.
Olaf SpornsDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana 47405.ORCID 0000-0001-7265-4036
Kim StachenfeldDeepMind, London, EC4A 3TW, United Kingdom.
Zoltán ToroczkaiDepartment of Physics, University of Notre Dame, Notre Dame, Indiana 46556.
Emma K TowlsonDepartment of Computer Science, University of Calgary, Calgary, Alberta, AB T2N 1N4, Canada.ORCID 0000-0002-0579-3623
Anthony M ZadorCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724.
Hongkui ZengAllen Institute for Brain Science, Seattle, 98109, Washington.ORCID 0000-0002-0326-5878
Albert-László BarabásiNetwork Science Institute, Northeastern University, Boston, 02115, Massachusetts.
Amy BernardThe Kavli Foundation, Los Angeles, 90230, California.ORCID 0000-0003-2540-1153
György BuzsákiCenter for Neural Science, New York University, New York, New York 10003 danielbarabasi@gmail.com Gyorgy.Buzsaki@nyulangone.org.

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI NGAI, JOHN J. · 2017 to 2021
$64.7M
MOLECULAR BIOPHYSICS TRAINING GRANTT32GM008313 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI MURTHY, VENKATESH N · 1989 to 2023
$14.6M
Application of the principle of symmetry to neural circuitry: From building blocks to neural synchronization in the connectomeR01EB028157 · NIBIB · CITY COLLEGE OF NEW YORK · PI MAKSE, HERNAN, ZIMMER, MANUEL · 2020 to 2020
$1.1M
NIBIB NIH HHS R01 EB028157NIGMS NIH HHS T32 GM008313NIMH NIH HHS U19 MH114830
6 · The paper itself

Abstract

The brain is a complex system comprising a myriad of interacting neurons, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as a powerful tool for studying such interconnected systems, offering a framework for integrating multiscale data and complexity. To date, network methods have significantly advanced functional imaging studies of the human brain and have facilitated the development of control theory-based applications for directing brain activity. Here, we discuss emerging frontiers for network neuroscience in the brain atlas era, addressing the challenges and opportunities in integrating multiple data streams for understanding the neural transitions from development to healthy function to disease. We underscore the importance of fostering interdisciplinary opportunities through workshops, conferences, and funding initiatives, such as supporting students and postdoctoral fellows with interests in both disciplines. By bringing together the network science and neuroscience communities, we can develop novel network-based methods tailored to neural circuits, paving the way toward a deeper understanding of the brain and its functions, as well as offering new challenges for network science.

Indexed as

NeurosciencesBrainDriveHumansNeuronsResearch PersonnelConnectomicsNetwork NeuroscienceNetwork ScienceNeuroAINeurodevelopmentSystems Neuroscience

Identifiers

PMID37612141
PMCPMC10451115

What Socratic 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 Socratic graph.