Scientific article
English

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

Published inMolecular imaging and biology, vol. 19, no. 5, p. 772-778
Publication date2017
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.

Citation (ISO format)
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. doi: 10.1007/s11307-017-1052-3
Main files (1)
Article (Published version)
accessLevelRestricted
Identifiers
Journal ISSN1536-1632
459views
0downloads

Technical informations

Creation21/03/2017 14:54:00
First validation21/03/2017 14:54:00
Update15/03/2023 01:40:49
Status update15/03/2023 01:40:48
Last indexation31/10/2024 06:56:17
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack