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Title

Source-Based Morphometry Multivariate Approach to Analyze [(123)I]FP-CIT SPECT Imaging

Authors
Premi, Enrico
Calhoun, V D
Turrone, R
Alberici, A
Cottini, E
Pilotto, A
Gazzina, S
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Published in Molecular Imaging and Biology. 2017, vol. 19, no. 5, p. 772-778
Abstract [(123)I]FP-CIT (DaTSCAN®) single-photon emission computed tomography (SPECT) imaging is widely used to study neurodegenerative parkinsonism, by measuring presynaptic dopamine transporter (DAT) in striatal regions. Beyond DAT, [(123)I]FP-CIT may be considered for other monoaminergic systems, in particular the serotonin transporter (SERT). Independent component analysis (ICA) implemented in source-based morphometry (SBM) could represent an alternative method to explore monoaminergic pathways, studying the relationship among voxels and grouping them into "neurotransmission" networks.
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PMID: 28194630
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Research group Laboratoire de neuroimagerie et de traceurs moléculaires innovants (984)
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PREMI, Enrico et al. Source-Based Morphometry Multivariate Approach to Analyze [(123)I]FP-CIT SPECT Imaging. In: Molecular Imaging and Biology, 2017, vol. 19, n° 5, p. 772-778. https://archive-ouverte.unige.ch/unige:94202

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Deposited on : 2017-05-11

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