Evidence map›Paper›PMID 25863155›Full record

ArticleNeuroImage2015

Context-specific differences in fronto-parieto-occipital effective connectivity during short-term memory maintenance.

Bornali Kundu, Jui-Yang Chang, Bradley R Postle, Barry D Van Veen

Abstract read
In one paragraph

Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Frontoparietal Network Connectivity During anFrontiers in psychiatry · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

4 authors.

Bornali KunduNeuroscience Training Program and Medical Scientist Training Program, University of Wisconsin-Madison, 7225 Medical Sciences Center, 1300 University Avenue, Madison, WI 57306, USA. Electronic address: bkundu@wisc.edu.
Jui-Yang ChangDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, 3611 Engineering Hall, 1415 Engineering Drive, Madison, WI 53706, USA.
Bradley R PostleNeuroscience Training Program and Medical Scientist Training Program, University of Wisconsin-Madison, 7225 Medical Sciences Center, 1300 University Avenue, Madison, WI 57306, USA; Department of Psychology, University of Wisconsin-Madison, 1202 West Johnson Street, Madison, WI 53706, USA.
Barry D Van VeenDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, 3611 Engineering Hall, 1415 Engineering Drive, Madison, WI 53706, USA.

Funding

INTEGRATED TRAINING FOR PHYSICIAN-SCIENTISTST32GM008692 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BURKARD, MARK E · 1998 to 2020
$10.3M
NEUROSCIENCE TRAINING PROGRAMT32GM007507 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI HALLORAN, MARY C · 1985 to 2017
$9.3M
Investigating Cognitive &Neural Bases of Working MemoryR01MH064498 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI POSTLE, BRADLEY R · 2003 to 2020
$6.7M
Oscillatory Contributions to Working Memory and AttentionR01MH095984 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI POSTLE, BRADLEY R · 2013 to 2023
$4.8M
Robust Space-Time Signal Processing for MEG/EEGR21EB005473 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI VAN VEEN, BARRY D · 2006 to 2007
$388k
EEG Estimation of Cortical ConnectivityR21EB009749 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI VAN VEEN, BARRY D · 2010 to 2011
$385k
Dynamic Cortical Network Estimation from TMS/EEGR21EB015542 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI VAN VEEN, BARRY D · 2013 to 2014
$352k
Individual differences and training effects in working memoryF30MH095428 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI KUNDU, BORNALI · 2012 to 2015
$130k
NIBIB NIH HHS EB009749NIBIB NIH HHS EB015542NIBIB NIH HHS R21 EB005473NIBIB NIH HHS R21 EB009749NIBIB NIH HHS R21 EB015542NIGMS NIH HHS T32 GM007507NIGMS NIH HHS T32 GM008692NIMH NIH HHS F30 MH095428NIMH NIH HHS MH064498NIMH NIH HHS MH095428NIMH NIH HHS MH095984NIMH NIH HHS R01 MH064498NIMH NIH HHS R01 MH095984
6 · The paper itself

Abstract

Although visual short-term memory (VSTM) performance has been hypothesized to rely on two distinct mechanisms, capacity and filtering, the two have not been dissociated using network-level causality measures. Here, we hypothesized that behavioral tasks challenging capacity or distraction filtering would both engage a common network of areas, namely dorsolateral prefrontal cortex (dlPFC), superior parietal lobule (SPL), and occipital cortex, but would do so according to dissociable patterns of effective connectivity. We tested this by estimating directed connectivity between areas using conditional Granger causality (cGC). Consistent with our prediction, the results indicated that increasing mnemonic load (capacity) increased the top-down drive from dlPFC to SPL, and cGC in the alpha (8-14Hz) frequency range was a predominant component of this effect. The presence of distraction during encoding (filtering), in contrast, was associated with increased top-down drive from dlPFC to occipital cortices directly and from SPL to occipital cortices directly, in both cases in the beta (15-25Hz) range. Thus, although a common anatomical network may serve VSTM in different contexts, it does so via specific functions that are carried out within distinct, dynamically configured frequency channels.

Indexed as

AdultBrain WavesElectroencephalographyFemaleFrontal LobeHumansMaleMemory, Short-TermNerve NetNeural PathwaysOccipital LobeParietal LobeSignal Processing, Computer-AssistedVisual PerceptionYoung AdultAttentionEffective connectivityElectroencephalogramGranger causalityMultivariate autoregressive modelsShort-term memory

Identifiers

PMID25863155
PMCPMC4446161

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.