September 2018
Volume 18, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2018
Cerebellum added to Working Memory Networks revealed by Meta-analysis of Activation Likelihood Estimation of fMRI sites in n-back tasks
Author Affiliations
  • Sheila Crewther
    School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia.
  • Gemma Lamp
    School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia.
  • Peter Goodin
    Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, AustraliaCentre for Human Psychopharmacology, Swinburne University, Melbourne, Victoria, Australia.
  • Robin Laycock
    School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia.School of Health and Biomedical Sciences, RMIT University, Melbourne, Victoria, Australia
  • David Crewther
    School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia.Centre for Human Psychopharmacology, Swinburne University, Melbourne, Victoria, Australia.
Journal of Vision September 2018, Vol.18, 688. doi:10.1167/18.10.688
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      Sheila Crewther, Gemma Lamp, Peter Goodin, Robin Laycock, David Crewther; Cerebellum added to Working Memory Networks revealed by Meta-analysis of Activation Likelihood Estimation of fMRI sites in n-back tasks. Journal of Vision 2018;18(10):688. doi: 10.1167/18.10.688.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Understanding of the underlying neural correlates of working memory (WM) have undergone consistent evolutions with increasing sophistication of imaging and analysis tools. Hence we aimed to re-examine the normative functional neuroanatomy of a common WM measure, the n-back task, using meta-analysis of voxel-based activation likelihood estimation (ALE) software, with stricter inclusion criteria and incorporating many more studies. A decade ago an influential meta-analysis revealed five fronto-parietal regions, allocating each region a role based on existing literature. Today 95 of a possible 999 papers reviewed fit the inclusion criteria. While the original study compared only stimuli type across studies, the current meta-analysis also compared WM load. Results revealed the fronto-parietal regions previously established, but also demonstrated significant and consistent activation of a number of other sites including the bilateral cerebellum, bilateral insula and anterior cingulate. Importantly, meta-analysis revealed that regardless of n-back stimulus type or WM load, common areas are consistently activated across studies. This updated meta-analysis should help to shift the focus of research away from traditional functional segregation of cognitive tasks, towards a core network view of WM including cerebellum. .

Meeting abstract presented at VSS 2018

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