Evidence map›Paper›PMID 36605890›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2022

Network controllability mediates the relationship between rigid structure and flexible dynamics.

Shi Gu, Panagiotis Fotiadis, Linden Parkes, Cedric H Xia, Ruben C Gur, Raquel E Gur, David R Roalf, Theodore D Satterthwaite, Dani S Bassett

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Cognitive Control as a Multivariate Optimization Problem.Journal of cognitive neuroscience · 2022
    Article
  12. 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

9 authors.

Shi GuBrain and Intelligence Group, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Panagiotis FotiadisDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0001-7287-9227
Linden ParkesDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.
Cedric H XiaDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Ruben C GurDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Raquel E GurDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
David R RoalfDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Theodore D SatterthwaiteDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Dani S BassettDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Longitudinal Mapping of Network Development Underlying Executive Dysfunction in AdolescenceR01MH113550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Danielle Smith Bassett, Theodore Satterthwaite · 2018 to 2026
$6.9M
Ultra-high field GluCEST MRI and MRS in youth at risk for psychosisR01MH120174 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2020 to 2024
$3.8M
Evolution of Psychosis in Youth: Multimodal Risk and Resilience MarkersR01MH119219 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E, GUR, RUBEN C. · 2019 to 2023
$3.8M
Olfactory and facial markers of developmental risk for psychosis in 22q11 deletion syndromeR01MH119185 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2019 to 2024
$3.5M
Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
Network Control and Functional Context: Mechanisms for TMS ResponseRF1MH116920 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, OATHES, DESMOND · 2018 to 2018
$2.8M
Discovering prognostic neuroimaging biomarkers of the psychosis spectrum using network control theoryR00MH127296 · NIMH · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI PARKES, LINDEN · 2023 to 2025
$747k
Glutamate Chemical Exchange Saturation Transfer (GluCEST) Imaging in Cognitive AgingR56AG066656 · NIA · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2020 to 2020
$533k
Discovering prognostic neuroimaging biomarkers of the psychosis spectrum using network control theoryK99MH127296 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI PARKES, LINDEN · 2021 to 2022
$146k
NIA NIH HHS R56 AG066656NIMH NIH HHS K99 MH127296NIMH NIH HHS R00 MH127296NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH119185NIMH NIH HHS R01 MH119219NIMH NIH HHS R01 MH120174NIMH NIH HHS R01 MH120482NIMH NIH HHS RF1 MH116920
6 · The paper itself

Abstract

Precisely how the anatomical structure of the brain supports a wide range of complex functions remains a question of marked importance in both basic and clinical neuroscience. Progress has been hampered by the lack of theoretical frameworks explaining how a structural network of relatively rigid interareal connections can produce a diverse repertoire of functional neural dynamics. Here, we address this gap by positing that the brain's structural network architecture determines the set of accessible functional connectivity patterns according to predictions of network control theory. In a large developmental cohort of 823 youths aged 8 to 23 years, we found that the flexibility of a brain region's functional connectivity was positively correlated with the proportion of its structural links extending to different cognitive systems. Notably, this relationship was mediated by nodes' boundary controllability, suggesting that a region's strategic location on the boundaries of modules may underpin the capacity to integrate information across different cognitive processes. Broadly, our study provides a mechanistic framework that illustrates how temporal flexibility observed in functional networks may be mediated by the controllability of the underlying structural connectivity.

Indexed as

DevelopmentDiffusion tractographyFlexible dynamicsNetwork controllabilityNetwork modularity

Identifiers

PMID36605890
PMCPMC9810281

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.