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@ARTICLE{Sala:917547,
author = {Sala, Arianna and Lizarraga, Aldana and Caminiti, Silvia
Paola and Calhoun, Vince D. and Eickhoff, Simon B. and
Habeck, Christian and Jamadar, Sharna D. and Perani, Daniela
and Pereira, Joana B. and Veronese, Mattia and Yakushev,
Igor},
title = {{B}rain connectomics: time for a molecular imaging
perspective?},
journal = {Trends in cognitive sciences},
volume = {27},
number = {4},
issn = {1364-6613},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2023-00750},
pages = {353-366},
year = {2023},
abstract = {In the past two decades brain connectomics has evolved into
a major concept in neuroscience. However, the current
perspective on brain connectivity and how it underpins brain
function relies mainly on the hemodynamic signal of
functional magnetic resonance imaging (MRI). Molecular
imaging provides unique information inaccessible to
MRI-based and electrophysiological techniques. Thus,
positron emission tomography (PET) has been successfully
applied to measure neural activity, neurotransmission, and
proteinopathies in normal and pathological cognition. Here,
we position molecular imaging within the brain connectivity
framework from the perspective of timeliness, validity,
reproducibility, and resolution. We encourage the
neuroscientific community to take an integrative approach
whereby MRI-based, electrophysiological techniques, and
molecular imaging contribute to our understanding of the
brain connectome.},
cin = {INM-7},
ddc = {150},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5253 - Neuroimaging (POF4-525)},
pid = {G:(DE-HGF)POF4-5253},
typ = {PUB:(DE-HGF)16},
pubmed = {36621368},
UT = {WOS:000956055700001},
doi = {10.1016/j.tics.2022.11.015},
url = {https://juser.fz-juelich.de/record/917547},
}