Analyzing the co-localization of substantia nigra hyper-echogenicities and iron accumulation in Parkinson's disease: A multi-modal atlas study with transcranial ultrasound and MRI.


Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2020
Historique:
received: 01 09 2019
revised: 12 01 2020
accepted: 14 01 2020
pubmed: 13 2 2020
medline: 27 3 2021
entrez: 13 2 2020
Statut: ppublish

Résumé

Transcranial B-mode sonography (TCS) can detect hyperechogenic speckles in the area of the substantia nigra (SN) in Parkinson's disease (PD). These speckles correlate with iron accumulation in the SN tissue, but an exact volumetric localization in and around the SN is still unknown. Areas of increased iron content in brain tissue can be detected in vivo with magnetic resonance imaging, using quantitative susceptibility mapping (QSM). In this work, we i) acquire, co-register and transform TCS and QSM imaging from a cohort of 23 PD patients and 27 healthy control subjects into a normalized atlas template space and ii) analyze and compare the 3D spatial distributions of iron accumulation in the midbrain, as detected by a signal increase (TCS+ and QSM+) in both modalities. We achieved sufficiently accurate intra-modal target registration errors (TRE<1 mm) for all MRI volumes and multi-modal TCS-MRI co-localization (TRE<4 mm) for 66.7% of TCS scans. In the caudal part of the midbrain, enlarged TCS+ and QSM+ areas were located within the SN pars compacta in PD patients in comparison to healthy controls. More cranially, overlapping TCS+ and QSM+ areas in PD subjects were found in the area of the ventral tegmental area (VTA). Our findings are concordant with several QSM-based studies on iron-related alterations in the area SN pars compacta. They substantiate that TCS+ is an indicator of iron accumulation in Parkinson's disease within and in the vicinity of the SN. Furthermore, they are in favor of an involvement of the VTA and thereby the mesolimbic system in Parkinson's disease.

Sections du résumé

BACKGROUND
Transcranial B-mode sonography (TCS) can detect hyperechogenic speckles in the area of the substantia nigra (SN) in Parkinson's disease (PD). These speckles correlate with iron accumulation in the SN tissue, but an exact volumetric localization in and around the SN is still unknown. Areas of increased iron content in brain tissue can be detected in vivo with magnetic resonance imaging, using quantitative susceptibility mapping (QSM).
METHODS
In this work, we i) acquire, co-register and transform TCS and QSM imaging from a cohort of 23 PD patients and 27 healthy control subjects into a normalized atlas template space and ii) analyze and compare the 3D spatial distributions of iron accumulation in the midbrain, as detected by a signal increase (TCS+ and QSM+) in both modalities.
RESULTS
We achieved sufficiently accurate intra-modal target registration errors (TRE<1 mm) for all MRI volumes and multi-modal TCS-MRI co-localization (TRE<4 mm) for 66.7% of TCS scans. In the caudal part of the midbrain, enlarged TCS+ and QSM+ areas were located within the SN pars compacta in PD patients in comparison to healthy controls. More cranially, overlapping TCS+ and QSM+ areas in PD subjects were found in the area of the ventral tegmental area (VTA).
CONCLUSION
Our findings are concordant with several QSM-based studies on iron-related alterations in the area SN pars compacta. They substantiate that TCS+ is an indicator of iron accumulation in Parkinson's disease within and in the vicinity of the SN. Furthermore, they are in favor of an involvement of the VTA and thereby the mesolimbic system in Parkinson's disease.

Identifiants

pubmed: 32050136
pii: S2213-1582(20)30023-1
doi: 10.1016/j.nicl.2020.102185
pmc: PMC7013333
pii:
doi:

Substances chimiques

Iron E1UOL152H7

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

102185

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

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Auteurs

Seyed-Ahmad Ahmadi (SA)

Department of Neurology, Ludwig-Maximilians University, Marchioninistraße 15, Munich 81377, Germany; German Center for Vertigo and Balance Disorders (DSGZ), Ludwig-Maximilians University, Marchioninistraße 15, Munich 81377, Germany; Chair for Computer Aided Medical Procedures (CAMP), Technical University of Munich, Boltzmannstr. 3, Garching 85748, Germany.

Kai Bötzel (K)

Department of Neurology, Ludwig-Maximilians University, Marchioninistraße 15, Munich 81377, Germany.

Johannes Levin (J)

Department of Neurology, Ludwig-Maximilians University, Marchioninistraße 15, Munich 81377, Germany.

Juliana Maiostre (J)

Department of Neurology, Ludwig-Maximilians University, Marchioninistraße 15, Munich 81377, Germany.

Tassilo Klein (T)

SAP ML Research, Berlin, Germany.

Wolfgang Wein (W)

ImFusion GmbH, Agnes-Pockels-Bogen 1, München 80992, Germany.

Verena Rozanski (V)

Klinik Haag i. OB, Haag i. OB 83527, Germany.

Olaf Dietrich (O)

Department of Radiology, Ludwig-Maximilians University, Marchioninistr. 15, Munich 81377, Germany.

Birgit Ertl-Wagner (B)

Department of Radiology, Ludwig-Maximilians University, Marchioninistr. 15, Munich 81377, Germany; The Hospital for Sick Children, 555 University Avenue, Toronto, Ontario M5G 1 × 8, Canada.

Nassir Navab (N)

Chair for Computer Aided Medical Procedures (CAMP), Technical University of Munich, Boltzmannstr. 3, Garching 85748, Germany.

Annika Plate (A)

Department of Neurology, Ludwig-Maximilians University, Marchioninistraße 15, Munich 81377, Germany. Electronic address: Annika.plate@med.uni-muenchen.de.

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Classifications MeSH