Show simple item record

dc.contributor.authorShi, Sunhang
dc.contributor.authorXu, Augix Guohua
dc.contributor.authorRui, Yun-Yun
dc.contributor.authorZhang, Xiaotong
dc.contributor.authorRomanski, Lizabeth M
dc.contributor.authorGothard, Katalin M
dc.contributor.authorRoe, Anna Wang
dc.date.accessioned2021-03-26T22:19:36Z
dc.date.available2021-03-26T22:19:36Z
dc.date.issued2021-02-04
dc.identifier.citationShi, S., Xu, A. G., Rui, Y. Y., Zhang, X., Romanski, L. M., Gothard, K. M., & Roe, A. W. (2021). Infrared neural stimulation with 7T fMRI: A rapid in vivo method for mapping cortical connections of primate amygdala. NeuroImage, 231, 117818.en_US
dc.identifier.issn1053-8119
dc.identifier.pmid33548458
dc.identifier.doi10.1016/j.neuroimage.2021.117818
dc.identifier.urihttp://hdl.handle.net/10150/657236
dc.description.abstractWe have previously shown that INS-fMRI is a rapid method for mapping mesoscale brain networks in the macaque monkey brain. Focal stimulation of single cortical sites led to the activation of connected cortical locations, resulting in a global connectivity map. Here, we have extended this method for mapping brainwide networks following stimulation of single subcortical sites. As a testbed, we focused on the basal nucleus of the amygdala in the macaque monkey. We describe methods to target basal nucleus locations with submillimeter precision, pulse train stimulation methods, and statistical tests for assessing non-random nature of activations. Using these methods, we report that stimulation of precisely targeted loci in the basal nucleus produced sparse and specific activations in the brain. Activations were observed in the insular and sensory association cortices as well as activations in the cingulate cortex, consistent with known anatomical connections. What is new here is that the activations were focal and, in some cases, exhibited shifting topography with millimeter shifts in stimulation site. The precision of the method enables networks mapped from different nearby sites in the basal nucleus to be distinguished. While further investigation is needed to improve the sensitivity of this method, our analyses do support the reproducibility and non-random nature of some of the activations. We suggest that INS-fMRI is a promising method for mapping large-scale cortical and subcortical networks at high spatial resolution. © 2021 The Author(s)en_US
dc.language.isoenen_US
dc.publisherAcademic Press Inc.en_US
dc.rightsCopyright © 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectBasal nucleus of the amygdalaen_US
dc.subjectConnectomeen_US
dc.subjectFunctional tract tracingen_US
dc.subjectHigh spatial resolutionen_US
dc.subjectInfrared neural stimulationen_US
dc.subjectMacaque monkeyen_US
dc.subjectMesoscaleen_US
dc.titleInfrared neural stimulation with 7T fMRI: A rapid in vivo method for mapping cortical connections of primate amygdalaen_US
dc.typeArticleen_US
dc.identifier.eissn1095-9572
dc.contributor.departmentDept of Physiology, University of Arizonaen_US
dc.identifier.journalNeuroImageen_US
dc.description.noteOpen access articleen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleNeuroImage
dc.source.volume231
dc.source.beginpage117818
dc.source.endpage
refterms.dateFOA2021-03-26T22:19:37Z
dc.source.countryUnited States


Files in this item

Thumbnail
Name:
Shi et al., 2021 Neuroimage.pdf
Size:
3.961Mb
Format:
PDF
Description:
Final Published Version

This item appears in the following Collection(s)

Show simple item record

Copyright © 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Except where otherwise noted, this item's license is described as Copyright © 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).