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

Purpose [ 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,...

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Published inMolecular imaging and biology Vol. 19; no. 5; pp. 772 - 778
Main Authors Premi, Enrico, Calhoun, V. D., Garibotto, V., Turrone, R., Alberici, A., Cottini, E., Pilotto, A., Gazzina, S., Magoni, M., Paghera, B., Borroni, B., Padovani, A.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.10.2017
Springer Nature B.V
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Online AccessGet full text
ISSN1536-1632
1860-2002
DOI10.1007/s11307-017-1052-3

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Abstract Purpose [ 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. Procedures One hundred forty-three subjects [84 with Parkinson’s disease (PD) and 59 control individuals (CG)] underwent DATSCAN® imaging. The [ 123 I]FP-CIT binding was evaluated by multivariate SBM approach, as well as by a whole-brain voxel-wise univariate (statistical parametric mapping, SPM) approach. Results As compared to the univariate whole-brain approach (SPM) (only demonstrating striatal [ 123 I]FP-CIT binding reduction in PD group), SBM identified six sources of non-artefactual origin, including basal ganglia and cortical regions as well as brainstem. Among them, three sources (basal ganglia and cortical regions) presented loading scores (as index of [ 123 I]FP-CIT binding) significantly different between PD and CG. Notably, even if not significantly different between PD and CG, the remaining three non-artefactual sources were characterized by a predominant frontal, brainstem, and occipito-temporal involvement. Conclusion The concept of source blind separation by the application of ICA (as implemented in SBM) represents a feasible approach to be considered in [ 123 I]FP-CIT (DaTSCAN ® ) SPECT imaging. Taking advantage of this multivariate analysis, specific patterns of variance can be identified (involving either striatal than extrastriatal regions) that could be useful in differentiating neurodegenerative parkinsonisms.
AbstractList Purpose [123I]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, [123I]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. Procedures One hundred forty-three subjects [84 with Parkinson's disease (PD) and 59 control individuals (CG)] underwent DATSCAN imaging. The [123I]FP-CIT binding was evaluated by multivariate SBM approach, as well as by a whole-brain voxel-wise univariate (statistical parametric mapping, SPM) approach. Results As compared to the univariate whole-brain approach (SPM) (only demonstrating striatal [123I]FP-CIT binding reduction in PD group), SBM identified six sources of non-artefactual origin, including basal ganglia and cortical regions as well as brainstem. Among them, three sources (basal ganglia and cortical regions) presented loading scores (as index of [123I]FP-CIT binding) significantly different between PD and CG. Notably, even if not significantly different between PD and CG, the remaining three non-artefactual sources were characterized by a predominant frontal, brainstem, and occipito-temporal involvement. Conclusion The concept of source blind separation by the application of ICA (as implemented in SBM) represents a feasible approach to be considered in [123I]FP-CIT (DaTSCAN) SPECT imaging. Taking advantage of this multivariate analysis, specific patterns of variance can be identified (involving either striatal than extrastriatal regions) that could be useful in differentiating neurodegenerative parkinsonisms.
[ 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, [ 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. One hundred forty-three subjects [84 with Parkinson's disease (PD) and 59 control individuals (CG)] underwent DATSCAN® imaging. The [ I]FP-CIT binding was evaluated by multivariate SBM approach, as well as by a whole-brain voxel-wise univariate (statistical parametric mapping, SPM) approach. As compared to the univariate whole-brain approach (SPM) (only demonstrating striatal [ I]FP-CIT binding reduction in PD group), SBM identified six sources of non-artefactual origin, including basal ganglia and cortical regions as well as brainstem. Among them, three sources (basal ganglia and cortical regions) presented loading scores (as index of [ I]FP-CIT binding) significantly different between PD and CG. Notably, even if not significantly different between PD and CG, the remaining three non-artefactual sources were characterized by a predominant frontal, brainstem, and occipito-temporal involvement. The concept of source blind separation by the application of ICA (as implemented in SBM) represents a feasible approach to be considered in [ I]FP-CIT (DaTSCAN ) SPECT imaging. Taking advantage of this multivariate analysis, specific patterns of variance can be identified (involving either striatal than extrastriatal regions) that could be useful in differentiating neurodegenerative parkinsonisms.
Purpose [ 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. Procedures One hundred forty-three subjects [84 with Parkinson’s disease (PD) and 59 control individuals (CG)] underwent DATSCAN® imaging. The [ 123 I]FP-CIT binding was evaluated by multivariate SBM approach, as well as by a whole-brain voxel-wise univariate (statistical parametric mapping, SPM) approach. Results As compared to the univariate whole-brain approach (SPM) (only demonstrating striatal [ 123 I]FP-CIT binding reduction in PD group), SBM identified six sources of non-artefactual origin, including basal ganglia and cortical regions as well as brainstem. Among them, three sources (basal ganglia and cortical regions) presented loading scores (as index of [ 123 I]FP-CIT binding) significantly different between PD and CG. Notably, even if not significantly different between PD and CG, the remaining three non-artefactual sources were characterized by a predominant frontal, brainstem, and occipito-temporal involvement. Conclusion The concept of source blind separation by the application of ICA (as implemented in SBM) represents a feasible approach to be considered in [ 123 I]FP-CIT (DaTSCAN ® ) SPECT imaging. Taking advantage of this multivariate analysis, specific patterns of variance can be identified (involving either striatal than extrastriatal regions) that could be useful in differentiating neurodegenerative parkinsonisms.
Author Turrone, R.
Padovani, A.
Premi, Enrico
Garibotto, V.
Paghera, B.
Cottini, E.
Calhoun, V. D.
Pilotto, A.
Gazzina, S.
Alberici, A.
Magoni, M.
Borroni, B.
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Issue 5
Keywords [
Source-based morphometry
I]FP-CIT imaging
Statistical parametric mapping
Parkinson’s disease
[123I]FP-CIT imaging
Language English
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PublicationTitle Molecular imaging and biology
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Springer Nature B.V
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Snippet Purpose [ 123 I]FP-CIT (DaTSCAN®) single-photon emission computed tomography (SPECT) imaging is widely used to study neurodegenerative parkinsonism, by...
[ I]FP-CIT (DaTSCAN®) single-photon emission computed tomography (SPECT) imaging is widely used to study neurodegenerative parkinsonism, by measuring...
Purpose [123I]FP-CIT (DaTSCAN) single-photon emission computed tomography (SPECT) imaging is widely used to study neurodegenerative parkinsonism, by measuring...
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SubjectTerms Aged
Basal ganglia
Binding
Brain
Brain mapping
Brain stem
Case-Control Studies
Central nervous system diseases
Computed tomography
Cortex
Demography
Disease control
Dopamine
Dopamine transporter
Emission analysis
Female
Ganglia
Humans
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Male
Medical imaging
Medicine
Medicine & Public Health
Middle Aged
Morphometry
Movement disorders
Multivariate Analysis
Neostriatum
Neurodegenerative diseases
Neuroimaging
Neurotransmission
Parkinson Disease - diagnostic imaging
Parkinson's disease
Photon emission
Radiology
Research Article
Serotonin
Serotonin transporter
Single photon emission computed tomography
Tomography, Emission-Computed, Single-Photon
Tropanes - chemistry
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