Evidence map›Paper›PMID 31951969›Full record

Observational studyEpilepsy & behavior : E&B2020

Forced conceptual thought induced by electrical stimulation of the left prefrontal gyrus involves widespread neural networks.

Anli Liu, Daniel Friedman, Daniel S Barron, Xiuyuan Wang, Thomas Thesen, Patricia Dugan

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Epilepsy & behavior : E&B, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

6 authors at 2 institutions in 1 country.

Anli LiuNYU Langone Medical Center, Department of Neurology, United States of America. Electronic address: Anli.liu@nyulangone.org.
Daniel FriedmanNYU Langone Medical Center, Department of Neurology, United States of America. Electronic address: daniel.friedman@nyulangone.org.
Daniel S BarronYale University, Department of Psychiatry, United States of America. Electronic address: daniel.s.barron@yale.edu.
Xiuyuan WangNYU Langone Medical Center, Department of Neurology and Radiology, United States of America. Electronic address: xiuyuan.wang@nyulangone.org.
Thomas ThesenNYU Langone Medical Center, Department of Neurology, United States of America. Electronic address: thomas.thesen@nyulangone.org.
Patricia DuganNYU Langone Medical Center, Department of Neurology, United States of America. Electronic address: patricia.dugan@nyulangone.org.
NYU Langone Health · USYale University · US

Funding

Clinical Neuroscience Research Training Program in PsychiatryT32MH019961 · NIMH · YALE UNIVERSITY · PI Christopher John Pittenger · 1996 to 2026
$5.9M
Schizophrenia Research FellowshipR25MH071584 · NIMH · YALE UNIVERSITY · PI Christopher John Pittenger · 2005 to 2026
$4.4M
Mechanisms of disrupted memory encoding in epilepsy patients - Resubmission - 1K23NS104252 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LIU, ANLI A · 2018 to 2022
$1.0M
Quantification of Thalamic Atrophy and Connectivity in Medial Temporal Lobe EpileF31NS083160 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI BARRON, DANIEL S. · 2013 to 2014
$33k
NIMH NIH HHS R25 MH071584NIMH NIH HHS T32 MH019961NINDS NIH HHS F31 NS083160NINDS NIH HHS K23 NS104252
6 · The paper itself

Abstract

backgroundEarly accounts of forced thought were reported at the onset of a focal seizure, and characterized as vague, repetitive, and involuntary intellectual auras distinct from perceptual or psychic hallucinations or illusions. Here, we examine the neural underpinnings involved in conceptual thought by presenting a series of 3 patients with epilepsy reporting intrusive thoughts during electrical stimulation of the left lateral prefrontal cortex (PFC) during invasive surgical evaluation. We illustrate the widespread networks involved through two independent brain imaging modalities: resting state functional magnetic resonance imaging (fMRI) (rs-fMRI) and task-based meta-analytic connectivity modeling (MACM).

methodsWe report the clinical and stimulation characteristics of three patients with left hemispheric language dominance who demonstrate forced thought with functional mapping. To examine the brain networks underlying this phenomenon, we used the regions of interest (ROI) centered at the active electrode pairs. We modeled functional networks using two approaches: (1) rs-fMRI functional connectivity analysis, representing 81 healthy controls and (2) meta-analytic connectivity modeling (MACM), representing 8260 healthy subjects. We also determined the overlapping regions between these three subjects' rs-fMRI and MACM networks through a conjunction analysis.

resultsWe identified that left PFC was associated with a large-scale functional network including frontal, temporal, and parietal regions, a network that has been associated with multiple cognitive functions including semantics, speech, attention, working memory, and explicit memory.

conclusionsWe illustrate the neural networks involved in conceptual thought through a unique patient population and argue that PFC supports this function through activation of a widespread network.

Indexed as

AdultBrain MappingElectric StimulationEpilepsyFemaleHumansMagnetic Resonance ImagingMaleMemory, Short-TermNerve NetPrefrontal CortexRetrospective StudiesThinkingElectric stimulationFunctional neuroimagingNetworksPrefrontal cortexThought

Identifiers

PMID31951969
PMCPMC7172015
OpenAlexW3000225586

What OpenQuestion holds

Textmetadata
LicenceTDM
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.