Evidence map›Paper›PMID 38616725›Full record

ArticleJournal of the International Neuropsychological Society : JINS2024

Development and validation of a nonverbal consensus-based semantic memory paradigm in patients with epilepsy.

Edwina B Tran, Jet M J Vonk, Kaitlin Casaletto, Da Zhang, Raphael Christin, Siddharth Marathe, Maria Luisa Gorno-Tempini, Edward F Chang, Jonathan K Kleen

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Edwina B TranDepartment of Neurology, University of California, San Francisco, CA, USA.
Jet M J VonkDepartment of Neurology, University of California, San Francisco, CA, USA.
Kaitlin CasalettoDepartment of Neurology, University of California, San Francisco, CA, USA.
Da ZhangDepartment of Neurology, University of California, San Francisco, CA, USA.
Raphael ChristinDepartment of Neurology, University of California, San Francisco, CA, USA.
Siddharth MaratheDepartment of Neurology, University of California, San Francisco, CA, USA.
Maria Luisa Gorno-TempiniDepartment of Neurology, University of California, San Francisco, CA, USA.
Edward F ChangWeill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Jonathan K KleenDepartment of Neurology, University of California, San Francisco, CA, USA.ORCID 0000-0003-2622-3205

Funding

Unraveling the intersection of synaptic biology, lifestyle, and cognitive resilienceR01AG072475 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CASALETTO, KAITLIN B · 2021 to 2025
$4.3M
Preclinical markers of Alzheimer's disease using psycholinguistic semantic measuresR00AG066934 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VONK, JET M.J. · 2022 to 2024
$1.2M
Hippocampal-cortical networks underlying memory retrieval of linguistic knowledgeK23NS110920 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KLEEN, JONATHAN · 2019 to 2023
$1.0M
National Science Foundation 2148753NIA NIH HHS R00 AG066934NIA NIH HHS R01 AG072475NINDS NIH HHS K23 NS110920
6 · The paper itself

Abstract

objectiveBrain areas implicated in semantic memory can be damaged in patients with epilepsy (PWE). However, it is challenging to delineate semantic processing deficits from acoustic, linguistic, and other verbal aspects in current neuropsychological assessments. We developed a new Visual-based Semantic Association Task (ViSAT) to evaluate nonverbal semantic processing in PWE.

methodThe ViSAT was adapted from similar predecessors (Pyramids & Palm Trees test, PPT; Camels & Cactus Test, CCT) comprised of 100 unique trials using real-life color pictures that avoid demographic, cultural, and other potential confounds. We obtained performance data from 23 PWE participants and 24 control participants (Control), along with crowdsourced normative data from 54 Amazon Mechanical Turk (Mturk) workers.

resultsViSAT reached a consensus >90% in 91.3% of trials compared to 83.6% in PPT and 82.9% in CCT. A deep learning model demonstrated that visual features of the stimulus images (color, shape; i.e., non-semantic) did not influence top answer choices (

conclusionsThis study demonstrated performance impairments in PWE that may reflect dysfunction of nonverbal semantic memory circuits, such as seizure onset zones overlapping with key semantic regions (e.g., anterior temporal lobe). The ViSAT paradigm avoids confounds, is repeatable/longitudinal, captures behavioral data, and is open-source, thus we propose it as a strong alternative for clinical and research assessment of nonverbal semantic memory.

Indexed as

EpilepsyNeuropsychological TestsSemanticsAdultDeep LearningFemaleHumansMaleMemoryMemory DisordersMiddle AgedYoung AdultbrainCognitioncrowdsourcingepilepsyneuropsychologysemantics

Identifiers

PMID38616725
PMCPMC11473708

What OpenQuestion holds

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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.