TY - JOUR
T1 - Imaging transcriptomics
T2 - Convergent cellular, transcriptomic, and molecular neuroimaging signatures in the healthy adult human brain
AU - PET Templates Working Group
AU - Martins, Daniel
AU - Giacomel, Alessio
AU - Williams, Steven C.R.
AU - Turkheimer, Federico
AU - Dipasquale, Ottavia
AU - Veronese, Mattia
AU - Batzu, Lucia
AU - Bertoldo, Alessandra
AU - Bullmore, Edward
AU - Cecchin, Diego
AU - Chaudhuri, Ray
AU - Corbetta, Maurizio
AU - Dunn, Joel
AU - Farrel, Chloe
AU - Forsberg, Anton
AU - Fujita, Masahiro
AU - Hammers, Alexander
AU - Innis, Robert
AU - Kosek, Eva
AU - Loggia, Marco
AU - Masdeu, Joseph
AU - McGinnity, Colm
AU - Myers, James
AU - Nutt, David
AU - Parker, Christine
AU - Pascual, Belen
AU - Reith, Alastair
AU - Rosenzweig, Ivana
AU - Rota, Silvia
AU - Schubert, Julia
AU - Silvestri, Erica
AU - Suarez, Vanessa
AU - Tyacke, Robin
AU - Yousaf, Taytayyabah
AU - Yu, Meixiang
AU - Zanotti-Fregonar, Paolo
N1 - Publisher Copyright:
© 2021 The Authors
PY - 2021/12/28
Y1 - 2021/12/28
N2 - The integration of transcriptomic and neuroimaging data, “imaging transcriptomics,” has recently emerged to generate hypotheses about potential biological pathways underlying regional variability in neuroimaging features. However, the validity of this approach is yet to be examined in depth. Here, we sought to bridge this gap by performing transcriptomic decoding of the regional distribution of well-known molecular markers spanning different elements of the biology of the healthy human brain. Imaging transcriptomics identifies biological and cell pathways that are consistent with the known biology of a wide range of molecular neuroimaging markers. The extent to which it can capture patterns of gene expression that align well with elements of the biology of the neuroinflammatory axis, at least in healthy controls without a proinflammatory challenge, is inconclusive. Imaging transcriptomics might constitute an interesting approach to improve our understanding of the biological pathways underlying regional variability in a wide range of neuroimaging phenotypes.
AB - The integration of transcriptomic and neuroimaging data, “imaging transcriptomics,” has recently emerged to generate hypotheses about potential biological pathways underlying regional variability in neuroimaging features. However, the validity of this approach is yet to be examined in depth. Here, we sought to bridge this gap by performing transcriptomic decoding of the regional distribution of well-known molecular markers spanning different elements of the biology of the healthy human brain. Imaging transcriptomics identifies biological and cell pathways that are consistent with the known biology of a wide range of molecular neuroimaging markers. The extent to which it can capture patterns of gene expression that align well with elements of the biology of the neuroinflammatory axis, at least in healthy controls without a proinflammatory challenge, is inconclusive. Imaging transcriptomics might constitute an interesting approach to improve our understanding of the biological pathways underlying regional variability in a wide range of neuroimaging phenotypes.
KW - Allen Brain Atlas
KW - imaging transcriptomics
KW - neuroimaging
KW - positron tomography emission
KW - transcriptomics
UR - http://www.scopus.com/inward/record.url?scp=85121693803&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85121693803&partnerID=8YFLogxK
U2 - 10.1016/j.celrep.2021.110173
DO - 10.1016/j.celrep.2021.110173
M3 - Article
C2 - 34965413
AN - SCOPUS:85121693803
SN - 2211-1247
VL - 37
JO - Cell Reports
JF - Cell Reports
IS - 13
M1 - 110173
ER -