Evidence map›Paper›PMID 36672001›Full record

ArticleBrain sciences2022

White Matter Correlates of Domain-Specific Working Memory.

Autumn Horne, Junhua Ding, Tatiana T Schnur, Randi C Martin

Erratum issuedAbstract read
In one paragraph

Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Autumn HorneDepartment of Psychological Sciences, Rice University, Houston, TX 77005, USA.
Junhua DingDepartment of Neurosurgery and Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.
Tatiana T SchnurDepartment of Neurosurgery and Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-4651-7721
Randi C MartinDepartment of Psychological Sciences, Rice University, Houston, TX 77005, USA.

Funding

Language and neural recovery from stroke: Role of selection and working memoryR01DC014976 · NIDCD · BAYLOR COLLEGE OF MEDICINE · PI SCHNUR, TATIANA TAMARA · 2016 to 2020
$2.6M
NIDCD NIH HHS R01 DC014976
6 · The paper itself

Abstract

Prior evidence suggests domain-specific working memory (WM) buffers for maintaining phonological (i.e., speech sound) and semantic (i.e., meaning) information. The phonological WM buffer’s proposed location is in the left supramarginal gyrus (SMG), whereas semantic WM has been related to the left inferior frontal gyrus (IFG), the middle frontal gyrus (MFG), and the angular gyrus (AG). However, less is known about the white matter correlates of phonological and semantic WM. We tested 45 individuals with left hemisphere brain damage on single word processing, phonological WM, and semantic WM tasks and obtained T1 and diffusion weighted neuroimaging. Virtual dissections were performed for each participants’ arcuate fasciculus (AF), inferior fronto-occipital fasciculus (IFOF), inferior longitudinal fasciculus (ILF), middle longitudinal fasciculus (MLF), and uncinate fasciculus (UF), which connect the proposed domain-specific WM buffers with perceptual or processing regions. The results showed that the left IFOF and the posterior segment of the AF were related to semantic WM performance. Phonological WM was related to both the left ILF and the whole AF. This work informs our understanding of the white matter correlates of WM, especially semantic WM, which has not previously been investigated. In addition, this work helps to adjudicate between theories of verbal WM, providing some evidence for separate pathways supporting phonological and semantic WM.

Indexed as

diffusion tensor imagingphonological working memorysemantic working memorywhite matter tractsworking memory

Identifiers

PMID36672001
PMCPMC9856066

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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.