Evidence map›Paper›PMID 30398367›Full record

ArticleBrain connectivity2019

Effective Connectivity Within the Default Mode Network in Left Temporal Lobe Epilepsy: Findings from the Epilepsy Connectome Project.

Cole J Cook, Gyujoon Hwang, Jedidiah Mathis, Veena A Nair, Lisa L Conant, Linda Allen, Dace N Almane, Rasmus Birn, Edgar A DeYoe, Elizabeth Felton and 17 more

Abstract read
In one paragraph

Article in Brain connectivity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The relevance of Spearman'sBrain communications · 2024
    Article
  7. Article
  8. Article
  9. Subcortical Functional Connectivity Gradients in Temporal Lobe Epilepsy.medRxiv : the preprint server for health sciences · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Network topology of the cognitive phenotypes of temporal lobe epilepsy.Cortex; a journal devoted to the study of the nervous system and behavior · 2021
    Article
  17. Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors.

Cole J Cook1 Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin.
Gyujoon Hwang1 Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin.
Jedidiah Mathis2 Department of Radiology, Froedtert and Medical College of Wisconsin, Milwaukee, Wisconsin.
Veena A Nair3 Department of Radiology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin.
Lisa L Conant4 Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Linda Allen5 Department of Neurology, Froedtert Hospital, Milwaukee, Wisconsin.
Dace N Almane6 Department of Neurology, University of Wisconsin-Madison, Madison, Wisconsin.
Rasmus Birn1 Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin.
Edgar A DeYoe2 Department of Radiology, Froedtert and Medical College of Wisconsin, Milwaukee, Wisconsin.
Elizabeth Felton6 Department of Neurology, University of Wisconsin-Madison, Madison, Wisconsin.
Courtney Forseth6 Department of Neurology, University of Wisconsin-Madison, Madison, Wisconsin.
Colin J Humphries4 Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Peter Kraegel4 Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Andrew Nencka8 Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin.
Onyekachi Nwoke9 School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin.
Manoj Raghavan4 Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Charlene Rivera-Bonet10 Neuroscience Training Program, University of Wisconsin-Madison, Madison, Wisconsin.
Megan Rozman4 Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Neelima Tellapragada3 Department of Radiology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin.
Candida Ustine6 Department of Neurology, University of Wisconsin-Madison, Madison, Wisconsin.
B Douglas Ward8 Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin.
Aaron Struck5 Department of Neurology, Froedtert Hospital, Milwaukee, Wisconsin.
Rama Maganti5 Department of Neurology, Froedtert Hospital, Milwaukee, Wisconsin.
Bruce Hermann6 Department of Neurology, University of Wisconsin-Madison, Madison, Wisconsin.
Vivek Prabhakaran3 Department of Radiology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin.
Jeffrey R Binder4 Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Mary E Meyerand1 Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin.

Funding

U.W. RADIOLOGICAL SCIENCES TRAINING PROGRAMT32CA009206 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Bryan Patrick Bednarz · 1985 to 2026
$12.1M
Waisman Intellectual and Developmental Disabilities Research Center Down Syndrome RegistryU54HD090256 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI POLLAK, SETH D · 2016 to 2020
$6.0M
The Epilepsy Connectome ProjectU01NS093650 · NINDS · MEDICAL COLLEGE OF WISCONSIN · PI BINDER, JEFFREY R, MEYERAND, MARY E. · 2015 to 2018
$5.1M
The Juvenile Myoclonic Epilepsy Connectome ProjectR01NS111022 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI STRUCK, AARON F · 2020 to 2024
$3.1M
NCI NIH HHS T32 CA009206NICHD NIH HHS U54 HD090256NINDS NIH HHS R01 NS111022NINDS NIH HHS U01 NS093650
6 · The paper itself

Abstract

The Epilepsy Connectome Project examines the differences in connectomes between temporal lobe epilepsy (TLE) patients and healthy controls. Using these data, the effective connectivity of the default mode network (DMN) in patients with left TLE compared with healthy controls was investigated using spectral dynamic causal modeling (spDCM) of resting-state functional magnetic resonance imaging data. Group comparisons were made using two parametric empirical Bayes (PEB) models. The first level of each PEB model consisted of each participant's spDCM. Two different second-level models were constructed: the first comparing effective connectivity of the groups directly and the second using the Rey Auditory Verbal Learning Test (RAVLT) delayed free recall index as a covariate at the second level to assess effective connectivity controlling for the poor memory performance of left TLE patients. After an automated search over the nested parameter space and thresholding parameters at 95% posterior probability, both models revealed numerous connections in the DMN, which lead to inhibition of the left hippocampal formation. Left hippocampal formation inhibition may be an inherent result of the left temporal epileptogenic focus as memory differences were controlled for in one model and the same connections remained. An excitatory connection from the posterior cingulate cortex to the medial prefrontal cortex was found to be concomitant with left hippocampal formation inhibition in TLE patients when including RAVLT delayed free recall at the second level.

Indexed as

AdultBayes TheoremBrainConnectomeEpilepsyEpilepsy, Temporal LobeFemaleFunctional LateralityHippocampusHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeural Pathwaysdefault mode networkdynamic causal modelingtemporal lobe epilepsy

Identifiers

PMID30398367
PMCPMC6444922

What Socratic holds

Textmetadata
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 Socratic graph.