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White matter microstructure is associated with the precision of visual working memory.
Li, Xuqian; Rangelov, Dragan; Mattingley, Jason B; Oestreich, Lena; Lévy-Bencheton, Delphine; O'Sullivan, Michael J.
Afiliação
  • Li X; UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia. Electronic address: xuqian.li@uq.edu.au.
  • Rangelov D; Queensland Brain Institute, The University of Queensland, Brisbane, Australia.
  • Mattingley JB; Queensland Brain Institute, The University of Queensland, Brisbane, Australia; School of Psychology, The University of Queensland, Brisbane, Australia; Canadian Institute for Advanced Research, Toronto, Canada.
  • Oestreich L; UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia; Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.
  • Lévy-Bencheton D; UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia.
  • O'Sullivan MJ; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia; Department of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Australia.
Neuroimage ; 272: 120069, 2023 05 15.
Article em En | MEDLINE | ID: mdl-37003445
ABSTRACT
Visual working memory is critical for goal-directed behavior as it maintains continuity between previous and current visual input. Functional neuroimaging studies have shown that visual working memory relies on communication between distributed brain regions, which implies an important role for long-range white matter connections in visual working memory performance. Here, we characterized the relationship between the microstructure of white matter association tracts and the precision of visual working memory representations. To that purpose, we devised a delayed estimation task which required participants to reproduce visual features along a continuous scale. A sample of 80 healthy adults performed the task and underwent diffusion-weighted MRI. We applied mixture distribution modelling to quantify the precision of working memory representations, swap errors, and guess rates, all of which contribute to observed responses. Latent components of microstructural properties in sets of anatomical tracts were identified by principal component analysis. We found an interdependency between fibre coherence in the bilateral superior longitudinal fasciculus (SLF) I, SLF II, and SLF III, on one hand, and the bilateral inferior fronto-occipital fasciculus (IFOF), on the other, in mediating the precision of visual working memory in a functionally specific manner. We also found that individual differences in axonal density in a network comprising the bilateral inferior longitudinal fasciculus (ILF) and SLF III and right SLF II, in combination with a supporting network located elsewhere in the brain, form a common system for visual working memory to modulate response precision, swap errors, and random guess rates.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Substância Branca / Memória de Curto Prazo Tipo de estudo: Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: Neuroimage Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Substância Branca / Memória de Curto Prazo Tipo de estudo: Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: Neuroimage Ano de publicação: 2023 Tipo de documento: Article