Evidence map›Paper›PMID 39093044›Full record

ArticleHuman brain mapping2024

Sub-bundle based analysis reveals the role of human optic radiation in visual working memory.

Yanming Wang, Huan Wang, Sheng Hu, Benedictor Alexander Nguchu, Du Zhang, Shishuo Chen, Yang Ji, Bensheng Qiu, Xiaoxiao Wang

Abstract read
In one paragraph

Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

9 authors.

Yanming WangMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China.ORCID 0000-0003-4615-493X
Huan WangState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Sheng HuMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China.
Benedictor Alexander NguchuMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China.
Du ZhangMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China.
Shishuo ChenMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China.
Yang JiMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China.
Bensheng QiuMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China.
Xiaoxiao WangMedical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China.ORCID 0000-0002-8498-7388

Funding

National Key Research and Development Program of China 2022YFB4702704National Science and Technology Innovation 2030 Major Program 2022ZD0204801
6 · The paper itself

Abstract

White matter (WM) functional activity has been reliably detected through functional magnetic resonance imaging (fMRI). Previous studies have primarily examined WM bundles as unified entities, thereby obscuring the functional heterogeneity inherent within these bundles. Here, for the first time, we investigate the function of sub-bundles of a prototypical visual WM tract-the optic radiation (OR). We use the 7T retinotopy dataset from the Human Connectome Project (HCP) to reconstruct OR and further subdivide the OR into sub-bundles based on the fiber's termination in the primary visual cortex (V1). The population receptive field (pRF) model is then applied to evaluate the retinotopic properties of these sub-bundles, and the consistency of the pRF properties of sub-bundles with those of V1 subfields is evaluated. Furthermore, we utilize the HCP working memory dataset to evaluate the activations of the foveal and peripheral OR sub-bundles, along with LGN and V1 subfields, during 0-back and 2-back tasks. We then evaluate differences in 2bk-0bk contrast between foveal and peripheral sub-bundles (or subfields), and further examine potential relationships between 2bk-0bk contrast and 2-back task d-prime. The results show that the pRF properties of OR sub-bundles exhibit standard retinotopic properties and are typically similar to the properties of V1 subfields. Notably, activations during the 2-back task consistently surpass those under the 0-back task across foveal and peripheral OR sub-bundles, as well as LGN and V1 subfields. The foveal V1 displays significantly higher 2bk-0bk contrast than peripheral V1. The 2-back task d-prime shows strong correlations with 2bk-0bk contrast for foveal and peripheral OR fibers. These findings demonstrate that the blood oxygen level-dependent (BOLD) signals of OR sub-bundles encode high-fidelity visual information, underscoring the feasibility of assessing WM functional activity at the sub-bundle level. Additionally, the study highlights the role of OR in the top-down processes of visual working memory beyond the bottom-up processes for visual information transmission. Conclusively, this study innovatively proposes a novel paradigm for analyzing WM fiber tracts at the individual sub-bundle level and expands understanding of OR function.

Indexed as

ConnectomeMagnetic Resonance ImagingMemory, Short-TermVisual PathwaysAdultFemaleGeniculate BodiesHumansMalePrimary Visual CortexVisual CortexVisual PerceptionWhite MatterYoung Adultblood oxygen level‐dependent (BOLD)optic radiation (OR)population receptive field (pRF)white matterworking memory

Identifiers

PMID39093044
PMCPMC11295295

What OpenQuestion holds

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LicenceCC BY
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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.