Evidence map›Paper›PMID 31484068›Full record

ArticleCell reports2019

White Matter Network Architecture Guides Direct Electrical Stimulation through Optimal State Transitions.

Jennifer Stiso, Ankit N Khambhati, Tommaso Menara, Ari E Kahn, Joel M Stein, Sandihitsu R Das, Richard Gorniak, Joseph Tracy, Brian Litt, Kathryn A Davis and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing 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

85 citing papers in PubMed.

  1. Mindful attention promotes control of brain network dynamics for self-regulation and discontinues the past from the present.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  12. Long-term potentiation and long-term depression are both impaired afterBiomedical physics & engineering express · 2025
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  15. The control costs of human brain dynamics.Network neuroscience (Cambridge, Mass.) · 2025
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25 more citing papers are in PubMed but not listed here.

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

13 authors.

Jennifer StisoDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Ankit N KhambhatiDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Tommaso MenaraDepartment of Mechanical Engineering, University of California, Riverside, Riverside, CA 92521, USA.
Ari E KahnDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Joel M SteinDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Sandihitsu R DasDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Richard GorniakDepartment of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA.
Joseph TracyDepartment of Neurology, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA.
Brian LittDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Kathryn A DavisDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Fabio PasqualettiDepartment of Mechanical Engineering, University of California, Riverside, Riverside, CA 92521, USA.
Timothy H LucasPenn Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Danielle S BassettDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Physics and Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: dsb@seas.upenn.edu.

Funding

Network Control and Functional Context: Mechanisms for TMS ResponseRF1MH116920 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, OATHES, DESMOND · 2018 to 2018
$2.8M
Virtual Resection to Treat EpilepsyR01NS099348 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, LITT, BRIAN · 2016 to 2019
$2.3M
Localizing epileptic networks using novel 7T MRI glutamate imagingK23NS092973 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVIS, KATHRYN ADAMIAK · 2016 to 2020
$980k
Evolution of the Linked Architecture of Network Control and Executive Function in AdolescenceR21MH106799 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, SATTERTHWAITE, THEODORE · 2016 to 2017
$515k
CRCNS: US-France Modeling & Predicting BCI Learning from Dynamic NetworksR01HD086888 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH · 2015 to 2018
$506k
NICHD NIH HHS R01 HD086888NIMH NIH HHS R21 MH106799NIMH NIH HHS RF1 MH116920NINDS NIH HHS K23 NS092973NINDS NIH HHS R01 NS099348
6 · The paper itself

Abstract

Optimizing direct electrical stimulation for the treatment of neurological disease remains difficult due to an incomplete understanding of its physical propagation through brain tissue. Here, we use network control theory to predict how stimulation spreads through white matter to influence spatially distributed dynamics. We test the theory's predictions using a unique dataset comprising diffusion weighted imaging and electrocorticography in epilepsy patients undergoing grid stimulation. We find statistically significant shared variance between the predicted activity state transitions and the observed activity state transitions. We then use an optimal control framework to posit testable hypotheses regarding which brain states and structural properties will efficiently improve memory encoding when stimulated. Our work quantifies the role that white matter architecture plays in guiding the dynamics of direct electrical stimulation and offers empirical support for the utility of network control theory in explaining the brain's response to stimulation.

Indexed as

Models, NeurologicalAdultElectric StimulationFemaleHumansMaleNeural PathwaysWhite Matterbrain networkbrain stimulationnetwork control theory

Identifiers

PMID31484068
PMCPMC6849479

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.