Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessi...
Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing
About this item
Full title
Author / Creator
Autio, Joonas A. , Glasser, Matthew F. , Ose, Takayuki , Donahue, Chad J. , Bastiani, Matteo , Ohno, Masahiro , Kawabata, Yoshihiko , Urushibata, Yuta , Murata, Katsutoshi , Nishigori, Kantaro , Yamaguchi, Masataka , Hori, Yuki , Yoshida, Atsushi , Go, Yasuhiro , Coalson, Timothy S. , Jbabdi, Saad , Sotiropoulos, Stamatios N. , Kennedy, Henry , Smith, Stephen , Van Essen, David C. and Hayashi, Takuya
Publisher
United States: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
United States: Elsevier Inc
Subjects
More information
Scope and Contents
Contents
Macaque monkeys are an important animal model where invasive investigations can lead to a better understanding of the cortical organization of primates including humans. However, the tools and methods for noninvasive image acquisition (e.g. MRI RF coils and pulse sequence protocols) and image data preprocessing have lagged behind those developed fo...
Alternative Titles
Full title
Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing
Authors, Artists and Contributors
Author / Creator
Glasser, Matthew F.
Ose, Takayuki
Donahue, Chad J.
Bastiani, Matteo
Ohno, Masahiro
Kawabata, Yoshihiko
Urushibata, Yuta
Murata, Katsutoshi
Nishigori, Kantaro
Yamaguchi, Masataka
Hori, Yuki
Yoshida, Atsushi
Go, Yasuhiro
Coalson, Timothy S.
Jbabdi, Saad
Sotiropoulos, Stamatios N.
Kennedy, Henry
Smith, Stephen
Van Essen, David C.
Hayashi, Takuya
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_40adf4d18e3e4e36a2d21e50fbe81699
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_40adf4d18e3e4e36a2d21e50fbe81699
Other Identifiers
ISSN
1053-8119,1095-9572
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2020.116800
