Evidence map›Paper›PMID 27574917›Full record

ArticleJournal of cognitive neuroscience2017

Reversing the Standard Neural Signature of the Word-Nonword Distinction.

William W Graves, Olga Boukrina, Samantha R Mattheiss, Edward J Alexander, Sylvain Baillet

Abstract read
In one paragraph

Article in Journal of cognitive neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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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

14 citing papers in PubMed.

  1. Article
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  5. Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
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  7. Review
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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.

William W GravesRutgers University.
Olga BoukrinaKessler Foundation, West Orange, NJ.
Samantha R MattheissRutgers University.
Edward J AlexanderTufts University.
Sylvain BailletMcGill University.

Funding

Neural systems for word recognition in space and timeR00HD065839 · NICHD · RUTGERS THE STATE UNIV OF NJ NEWARK · PI GRAVES, WILLIAM W · 2012 to 2014
$696k
Neural systems for word recognition in space and timeK99HD065839 · NICHD · MEDICAL COLLEGE OF WISCONSIN · PI GRAVES, WILLIAM W · 2010 to 2011
$179k
NICHD NIH HHS K99 HD065839NICHD NIH HHS R00 HD065839
6 · The paper itself

Abstract

The distinction between letter strings that form words and those that look and sound plausible but are not meaningful is a basic one. Decades of functional neuroimaging experiments have used this distinction to isolate the neural basis of lexical (word level) semantics, associated with areas such as the middle temporal, angular, and posterior cingulate gyri that overlap the default mode network. In two fMRI experiments, a different set of findings emerged when word stimuli were used that were less familiar (measured by word frequency) than those typically used. Instead of activating default mode network areas often associated with semantic processing, words activated task-positive areas such as the inferior pFC and SMA, along with multifunctional ventral occipitotemporal cortices related to reading, whereas nonwords activated default mode areas previously associated with semantics. Effective connectivity analyses of fMRI data on less familiar words showed activation driven by task-positive and multifunctional reading-related areas, whereas highly familiar words showed bottom-up activation flow from occipitotemporal cortex. These findings suggest that functional neuroimaging correlates of semantic processing are less stable than previously assumed, with factors such as word frequency influencing the balance between task-positive, reading-related, and default mode networks. More generally, this suggests that results of contrasts typically interpreted in terms of semantic content may be more influenced by factors related to task difficulty than is widely appreciated.

Indexed as

LanguageAdultBrainBrain MappingDecision MakingFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysNeuropsychological TestsPattern Recognition, VisualReaction TimeYoung Adult

Identifiers

PMID27574917
PMCPMC5193100

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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.