Comparison of resting-state functional connectivity in marmosets with tracer-based cellular connectivity

Yuki Hori; David J. Schaeffer; Kyle M. Gilbert; Lauren K. Hayrynen; Justine C. Cléry; Joseph S. Gati; Ravi S. Menon; Stefan Everling

NeuroImage (Jan 2020)

Comparison of resting-state functional connectivity in marmosets with tracer-based cellular connectivity

Yuki Hori,
David J. Schaeffer,
Kyle M. Gilbert,
Lauren K. Hayrynen,
Justine C. Cléry,
Joseph S. Gati,
Ravi S. Menon,
Stefan Everling

Affiliations

Yuki Hori: Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario, N6A 5B7, Canada
David J. Schaeffer: Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario, N6A 5B7, Canada
Kyle M. Gilbert: Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario, N6A 5B7, Canada
Lauren K. Hayrynen: Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario, N6A 5B7, Canada
Justine C. Cléry: Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario, N6A 5B7, Canada
Joseph S. Gati: Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario, N6A 5B7, Canada
Ravi S. Menon: Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario, N6A 5B7, Canada
Stefan Everling: Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario, N6A 5B7, Canada; Department of Physiology and Pharmacology, The University of Western Ontario, London, Ontario, N6A 5C1, Canada; Corresponding author. Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario, N6A 5B7, Canada.

Journal volume & issue: Vol. 204
p. 116241

Abstract

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Resting-state functional MRI (RS-fMRI) is widely used to assess how strongly different brain areas are connected. However, this connection obtained by RS-fMRI, which is called functional connectivity (FC), simply refers to the correlation of blood oxygen level-dependent (BOLD) signals across time it has yet to be quantified how accurately FC reflects cellular connectivity (CC). In this study, we elucidated this relationship using RS-fMRI and quantitative tracer data in marmosets. In addition, we also elucidated the effects of distance between two brain regions on the relationship between FC and CC across seed region. To calculate FC, we used full correlation approach that is considered to reflect not only direct (monosynaptic connections) but also indirect pathways (polysynaptic connections). Our main findings are that: (1) overall FC obtained by RS-fMRI was highly correlated with tracer-based CC, but correlation coefficients varied remarkably across seed regions; (2) the strength of FC decreased with increase in the distance between two regions; (3) correlation coefficients between FC and CC after regressing out the effects of the distance between two regions still varied across seed regions, but some regions have strong correlations. These findings suggest that although FC reflects the strength of monosynaptic pathways, it is strongly affected by the distance between regions.

Published in NeuroImage

ISSN: 1053-8119 (Print); 1095-9572 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
Website: https://www.journals.elsevier.com/neuroimage

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