Evidence map›Paper›PMID 28104411›Full record

ReviewNeuroscience and biobehavioral reviews2017

Brain and cognitive reserve: Translation via network control theory.

John Dominic Medaglia, Fabio Pasqualetti, Roy H Hamilton, Sharon L Thompson-Schill, Danielle S Bassett

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

  1. Trial
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  6. Quantifying State-Dependent Control Properties of Brain Dynamics from Perturbation Responses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  7. A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
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  16. Review
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28 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

5 authors.

John Dominic MedagliaDepartment of Psychology, University of Pennsylvania, Philadelphia, PA 19104, United States.
Fabio PasqualettiDepartment of Mechanical Engineering, University of California-Riverside, Riverside, CA 92521, United States.
Roy H HamiltonDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.
Sharon L Thompson-SchillDepartment of Psychology, University of Pennsylvania, Philadelphia, PA 19104, United States.
Danielle S BassettDepartment of Bioengineering, University of Pennsylvania, PA 19104, United States; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, United States. Electronic address: dsb@seas.upenn.edu.

Funding

Linguistic and NonLinguistic Functions of Frontal CortexR01DC009209 · NIDCD · UNIVERSITY OF PENNSYLVANIA · PI THOMPSONSCHILL, SHARON L · 2008 to 2018
$5.2M
Virtual Resection to Treat EpilepsyR01NS099348 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, LITT, BRIAN · 2016 to 2019
$2.3M
Postdoctoral Training in Translational Neurorehabilitation ResearchT32HD071844 · NICHD · ALBERT EINSTEIN HEALTHCARE NETWORK · PI WHYTE, JOHN · 2013 to 2022
$2.2M
Dynamic Network Neuroscience and Control Theory: Toward Interventions for Cognitive Control DysfunctionDP5OD021352 · OD · UNIVERSITY OF PENNSYLVANIA · PI MEDAGLIA, JOHN · 2015 to 2019
$2.0M
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 HD086888NICHD NIH HHS T32 HD071844NIDCD NIH HHS R01 DC009209NIH HHS DP5 OD021352NIMH NIH HHS R21 MH106799NINDS NIH HHS R01 NS099348
6 · The paper itself

Abstract

Traditional approaches to understanding the brain's resilience to neuropathology have identified neurophysiological variables, often described as brain or cognitive "reserve," associated with better outcomes. However, mechanisms of function and resilience in large-scale brain networks remain poorly understood. Dynamic network theory may provide a basis for substantive advances in understanding functional resilience in the human brain. In this perspective, we describe recent theoretical approaches from network control theory as a framework for investigating network level mechanisms underlying cognitive function and the dynamics of neuroplasticity in the human brain. We describe the theoretical opportunities offered by the application of network control theory at the level of the human connectome to understand cognitive resilience and inform translational intervention.

Indexed as

BrainCognitive ReserveNerve NetConnectomeHumansControl theoryGraph theoryNetwork scienceNeurologyNeuropsychology

Identifiers

PMID28104411
PMCPMC5359115

What OpenQuestion holds

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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.