Evidence map›Paper›PMID 38041253›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2024

Functional and anatomical connectivity predict brain stimulation's mnemonic effects.

Youssef Ezzyat, James E Kragel, Ethan A Solomon, Bradley C Lega, Joshua P Aronson, Barbara C Jobst, Robert E Gross, Michael R Sperling, Gregory A Worrell, Sameer A Sheth and 3 more

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Synchronous Theta Networks Characterize Successful Memory Retrieval.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  6. Article
  7. Article
  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Youssef EzzyatDept. of Psychology, Wesleyan University, Middletown, CT 06459, USA.
James E KragelDept. of Neurology, University of Chicago, Chicago, IL 60637, USA.
Ethan A SolomonPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Bradley C LegaDept. of Neurosurgery, University of Texas Southwestern, Dallas, TX 75390, USA.
Joshua P AronsonDept. of Neurosurgery, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
Barbara C JobstDept. of Neurology, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA.
Robert E GrossDept. of Neurosurgery, Emory University Hospital, Atlanta, GA 30322, USA.
Michael R SperlingDept. of Neurology, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA 19107, USA.
Gregory A WorrellDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.
Sameer A ShethDept. of Neurosurgery, Baylor College of Medicine, Houston, TX 77030, USA.
Paul A WandaDept. of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Daniel S RizzutoDept. of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Michael J KahanaDept. of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

Targeted closed-loop intracranial brain-stimulation to improve episodic memoryR01NS106611 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI KAHANA, MICHAEL JACOB · 2019 to 2023
$3.1M
NIH HHS NS106611NINDS NIH HHS R01 NS106611
6 · The paper itself

Abstract

Closed-loop direct brain stimulation is a promising tool for modulating neural activity and behavior. However, it remains unclear how to optimally target stimulation to modulate brain activity in particular brain networks that underlie particular cognitive functions. Here, we test the hypothesis that stimulation's behavioral and physiological effects depend on the stimulation target's anatomical and functional network properties. We delivered closed-loop stimulation as 47 neurosurgical patients studied and recalled word lists. Multivariate classifiers, trained to predict momentary lapses in memory function, triggered the stimulation of the lateral temporal cortex (LTC) during the study phase of the task. We found that LTC stimulation specifically improved memory when delivered to targets near white matter pathways. Memory improvement was largest for targets near white matter that also showed high functional connectivity to the brain's memory network. These targets also reduced low-frequency activity in this network, an established marker of successful memory encoding. These data reveal how anatomical and functional networks mediate stimulation's behavioral and physiological effects, provide further evidence that closed-loop LTC stimulation can improve episodic memory, and suggest a method for optimizing neuromodulation through improved stimulation targeting.

Indexed as

Magnetic Resonance ImagingMemory, EpisodicBrainBrain MappingHumansMental Recallbrain stimulationepisodic memoryfunctional connectivityintracranial EEGwhite matter

Identifiers

PMID38041253
PMCPMC10793570

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Registered trials

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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.