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 in | Molecular imaging and biology Vol. 19; no. 5; pp. 772 - 778 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.10.2017
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1536-1632 1860-2002 |
DOI | 10.1007/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. |
Author_xml | – sequence: 1 givenname: Enrico surname: Premi fullname: Premi, Enrico email: zedtower@gmail.com organization: Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Stroke Unit, Azienda Ospedaliera “Spedali Civili”, Spedali Civili Hospital – sequence: 2 givenname: V. D. surname: Calhoun fullname: Calhoun, V. D. organization: The Mind Research Network, Department of Electrical and Computer Engineering, University of New Mexico – sequence: 3 givenname: V. surname: Garibotto fullname: Garibotto, V. organization: Department of Medical Imaging, Geneva University Hospital – sequence: 4 givenname: R. surname: Turrone fullname: Turrone, R. organization: Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia – sequence: 5 givenname: A. surname: Alberici fullname: Alberici, A. organization: Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia – sequence: 6 givenname: E. surname: Cottini fullname: Cottini, E. organization: Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia – sequence: 7 givenname: A. surname: Pilotto fullname: Pilotto, A. organization: Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia – sequence: 8 givenname: S. surname: Gazzina fullname: Gazzina, S. organization: Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia – sequence: 9 givenname: M. surname: Magoni fullname: Magoni, M. organization: Stroke Unit, Azienda Ospedaliera “Spedali Civili”, Spedali Civili Hospital – sequence: 10 givenname: B. surname: Paghera fullname: Paghera, B. organization: Nuclear Medicine Unit, Azienda Azienda Ospedaliera “Spedali Civili”, Spedali Civili Hospital – sequence: 11 givenname: B. surname: Borroni fullname: Borroni, B. organization: Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia – sequence: 12 givenname: A. surname: Padovani fullname: Padovani, A. organization: Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia |
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Keywords | [ Source-based morphometry I]FP-CIT imaging Statistical parametric mapping Parkinson’s disease [123I]FP-CIT imaging |
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Snippet | Purpose
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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 Imaging Independent component analysis 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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Title | Source-Based Morphometry Multivariate Approach to Analyze [123I]FP-CIT SPECT Imaging |
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