Evidence map›Paper›PMID 37214134›Full record

ArticleArXiv2023

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, Christos Papadimitriou and 10 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
14.8field-weighted citation impact, top 1% 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

0 citing papers in PubMed, 85 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 19 institutions in 4 countries.

Dániel L BarabásiBiophysics Program, Harvard University, Cambridge, MA, USA.
Ginestra BianconiSchool of Mathematical Sciences, Queen Mary University of London, London, E1 4NS, UK.
Ed BullmoreDepartment of Psychiatry and Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom.
Mark BurgessChiTek-i AS, Oslo, Norway.
SueYeon ChungCenter for Neural Science, New York University, New York, NY, USA.
Tina Eliassi-RadNetwork Science Institute, Northeastern University, Boston, MA, USA.
Dileep GeorgeDeepMind.
István A KovácsDepartment of Physics and Astronomy, Northwestern University, 633 Clark Street, Evanston, IL 60208, USA.
Hernán MakseLevich Institute and Physics Department, City College of New York, New York, NY 10031 US.
Christos PapadimitriouColumbia University, New York, NY, 10027, USA.
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, UK.
Olaf SpornsDepartment of Psychological and Brain Sciences, Indiana University, Bloomington IN 47405.
Kim StachenfeldDeepMind.
Zoltán ToroczkaiDepartment of Physics, University of Notre Dame, 225 Nieuwland Science Hall, Notre Dame IN 46556, USA.
Emma K TowlsonDepartment of Computer Science, Department of Physics and Astronomy, Hotchkiss Brain Institute, Children's Research Hospital, University of Calgary, Calgary, Alberta, Canada 22.
Anthony M ZadorCold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724.
Hongkui ZengAllen Institute for Brain Science, Seattle, WA, USA.
Albert-László BarabásiNetwork Science Institute, Northeastern University, Boston, MA, USA.
Amy BernardThe Kavli Foundation, Los Angeles, CA, USA.
György BuzsákiNeuroscience Institute and Department of Neurology, NYU Grossman School of Medicine, New York University, New York, NY, USA.
Google DeepMind (United Kingdom) · GBAllen Institute for Brain Science · USBrigham and Women's Hospital · USCity College of New York · USCold Spring Harbor Laboratory · USColumbia University · USHarvard University · USIndiana University Bloomington · USNew York University · USNortek (Norway) · NONortheastern University · USNorthwestern University · USSimons Foundation · USThe George Institute for Global Health · GBThe Kavli Foundation · USTuring Institute · GBUniversity of Calgary · CAUniversity of Cambridge · GBUniversity of Notre Dame · US

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI ZENG, HONGKUI · 2017 to 2021
$64.7M
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 EB028157NIMH NIH HHS U19 MH114830
6 · The paper itself

Abstract

The brain is a complex system comprising a myriad of interacting elements, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as a powerful tool for studying such intricate systems, offering a framework for integrating multiscale data and complexity. Here, we discuss the application of network science in the study of the brain, addressing topics such as network models and metrics, the connectome, and the role of dynamics in neural networks. We explore the challenges and opportunities in integrating multiple data streams for understanding the neural transitions from development to healthy function to disease, and discuss the potential for collaboration between network science and neuroscience communities. We underscore the importance of fostering interdisciplinary opportunities through funding initiatives, workshops, and conferences, as well as supporting students and postdoctoral fellows with interests in both disciplines. By uniting the network science and neuroscience communities, we can develop novel network-based methods tailored to neural circuits, paving the way towards a deeper understanding of the brain and its functions.

Identifiers

PMID37214134
PMCPMC10197734
OpenAlexW4377564881

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.