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Jiang J, Huang Q, Hong S, Luo Q, Liu X, Hou X, Gu L. Diffusion tensor imaging study of the microstructural changes in the white matter of patients with herpes zoster and postherpetic neuralgia. Am J Transl Res 2022; 14:4350-4362. [PMID: 35836858 PMCID: PMC9274581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To determine the association between white matter structural changes and PHN by analyzing the diffusion tensor imaging data of patients with herpes zoster (HZ) or postherpetic neuralgia (PHN), and the volunteered healthy controls (HC). METHODS A total of 48 participants with HZ, 40 participants with PHN, and 28 age and sex matched HC were enrolled in this study. The diffusion tensor imaging data were collected by a Siemens 3.0T magnetic resonance scanner, and FSL (FMRIB's software) was used to analyze the differences in diffusion indexes among the HZ, PHN and HC groups. In addition, the correlation between the image and the clinical parameters was analyzed. RESULTS The results indicated that the microstructural integrity of the white matter, which affects the information exchange and integration between pain and non-pain related brain regions, showed difference in patients with HZ and PHN. CONCLUSION The study may provide an experimental basis for more thorough longitudinal research in the future to explore the changes of brain structure in patients with PHN from HZ and develop adequate treatment strategy.
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Affiliation(s)
- Jian Jiang
- Department of Radiology, The First Affiliated Hospital, Nanchang UniversityNanchang 330006, Jiangxi, People’s Republic of China
| | - Qing Huang
- Department of Radiology, Jiangxi Provincial Children’s HospitalNanchang 330000, People’s Republic of China
| | - Shuda Hong
- Department of Radiology, The First Affiliated Hospital, Nanchang UniversityNanchang 330006, Jiangxi, People’s Republic of China
| | - Qing Luo
- Department of Radiology, The First Affiliated Hospital, Nanchang UniversityNanchang 330006, Jiangxi, People’s Republic of China
| | - Xian Liu
- Department of Radiology, The First Affiliated Hospital, Nanchang UniversityNanchang 330006, Jiangxi, People’s Republic of China
| | - Xiaoyan Hou
- Department of Radiology, The First Affiliated Hospital, Nanchang UniversityNanchang 330006, Jiangxi, People’s Republic of China
| | - Lili Gu
- Department of Pain, The First Affiliated Hospital, Nanchang UniversityNanchang 330006, Jiangxi, People’s Republic of China
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Lehmann N, Aye N, Kaufmann J, Heinze HJ, Düzel E, Ziegler G, Taubert M. Longitudinal Reproducibility of Neurite Orientation Dispersion and Density Imaging (NODDI) Derived Metrics in the White Matter. Neuroscience 2021; 457:165-185. [PMID: 33465411 DOI: 10.1016/j.neuroscience.2021.01.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 01/04/2021] [Accepted: 01/05/2021] [Indexed: 02/06/2023]
Abstract
Diffusion-weighted magnetic resonance imaging (DWI) is undergoing constant evolution with the ambitious goal of developing in-vivo histology of the brain. A recent methodological advancement is Neurite Orientation Dispersion and Density Imaging (NODDI), a histologically validated multi-compartment model to yield microstructural features of brain tissue such as geometric complexity and neurite packing density, which are especially useful in imaging the white matter. Since NODDI is increasingly popular in clinical research and fields such as developmental neuroscience and neuroplasticity, it is of vast importance to characterize its reproducibility (or reliability). We acquired multi-shell DWI data in 29 healthy young subjects twice over a rescan interval of 4 weeks to assess the within-subject coefficient of variation (CVWS), between-subject coefficient of variation (CVBS) and the intraclass correlation coefficient (ICC), respectively. Using these metrics, we compared regional and voxel-by-voxel reproducibility of the most common image analysis approaches (tract-based spatial statistics [TBSS], voxel-based analysis with different extents of smoothing ["VBM-style"], ROI-based analysis). We observed high test-retest reproducibility for the orientation dispersion index (ODI) and slightly worse results for the neurite density index (NDI). Our findings also suggest that the choice of analysis approach might have significant consequences for the results of a study. Collectively, the voxel-based approach with Gaussian smoothing kernels of ≥4 mm FWHM and ROI-averaging yielded the highest reproducibility across NDI and ODI maps (CVWS mostly ≤3%, ICC mostly ≥0.8), respectively, whilst smaller kernels and TBSS performed consistently worse. Furthermore, we demonstrate that image quality (signal-to-noise ratio [SNR]) is an important determinant of NODDI metric reproducibility. We discuss the implications of these results for longitudinal and cross-sectional research designs commonly employed in the neuroimaging field.
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Affiliation(s)
- Nico Lehmann
- Faculty of Human Sciences, Institute III, Department of Sport Science, Otto von Guericke University, Zschokkestraße 32, 39104 Magdeburg, Germany; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, 04103 Leipzig, Germany.
| | - Norman Aye
- Faculty of Human Sciences, Institute III, Department of Sport Science, Otto von Guericke University, Zschokkestraße 32, 39104 Magdeburg, Germany
| | - Jörn Kaufmann
- Department of Neurology, Otto von Guericke University, Leipziger Straße 44, 39120 Magdeburg, Germany
| | - Hans-Jochen Heinze
- Department of Neurology, Otto von Guericke University, Leipziger Straße 44, 39120 Magdeburg, Germany; Germany German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120 Magdeburg, Germany; Center for Behavioral and Brain Science (CBBS), Otto von Guericke University, Universitätsplatz 2, 39106 Magdeburg, Germany; Leibniz-Institute for Neurobiology (LIN), Brenneckestraße 6, 39118 Magdeburg, Germany
| | - Emrah Düzel
- Germany German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120 Magdeburg, Germany; Center for Behavioral and Brain Science (CBBS), Otto von Guericke University, Universitätsplatz 2, 39106 Magdeburg, Germany; Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University, Leipziger Straße 44, 39120 Magdeburg, Germany; Institute of Cognitive Neuroscience, University College London, Alexandra House, 17-19 Queen Square, Bloomsbury, London, WC1N 3AZ, UK
| | - Gabriel Ziegler
- Germany German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120 Magdeburg, Germany; Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University, Leipziger Straße 44, 39120 Magdeburg, Germany
| | - Marco Taubert
- Faculty of Human Sciences, Institute III, Department of Sport Science, Otto von Guericke University, Zschokkestraße 32, 39104 Magdeburg, Germany; Center for Behavioral and Brain Science (CBBS), Otto von Guericke University, Universitätsplatz 2, 39106 Magdeburg, Germany
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Albi A, Pasternak O, Minati L, Marizzoni M, Bartrés-Faz D, Bargalló N, Bosch B, Rossini PM, Marra C, Müller B, Fiedler U, Wiltfang J, Roccatagliata L, Picco A, Nobili FM, Blin O, Sein J, Ranjeva JP, Didic M, Bombois S, Lopes R, Bordet R, Gros-Dagnac H, Payoux P, Zoccatelli G, Alessandrini F, Beltramello A, Ferretti A, Caulo M, Aiello M, Cavaliere C, Soricelli A, Parnetti L, Tarducci R, Floridi P, Tsolaki M, Constantinidis M, Drevelegas A, Frisoni G, Jovicich J. Free water elimination improves test-retest reproducibility of diffusion tensor imaging indices in the brain: A longitudinal multisite study of healthy elderly subjects. Hum Brain Mapp 2016; 38:12-26. [PMID: 27519630 DOI: 10.1002/hbm.23350] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Revised: 07/11/2016] [Accepted: 08/04/2016] [Indexed: 01/16/2023] Open
Abstract
Free water elimination (FWE) in brain diffusion MRI has been shown to improve tissue specificity in human white matter characterization both in health and in disease. Relative to the classical diffusion tensor imaging (DTI) model, FWE is also expected to increase sensitivity to microstructural changes in longitudinal studies. However, it is not clear if these two models differ in their test-retest reproducibility. This study compares a bi-tensor model for FWE with DTI by extending a previous longitudinal-reproducibility 3T multisite study (10 sites, 7 different scanner models) of 50 healthy elderly participants (55-80 years old) scanned in two sessions at least 1 week apart. We computed the reproducibility of commonly used DTI metrics (FA: fractional anisotropy, MD: mean diffusivity, RD: radial diffusivity, and AXD: axial diffusivity), derived either using a DTI model or a FWE model. The DTI metrics were evaluated over 48 white-matter regions of the JHU-ICBM-DTI-81 white-matter labels atlas, and reproducibility errors were assessed. We found that relative to the DTI model, FWE significantly reduced reproducibility errors in most areas tested. In particular, for the FA and MD metrics, there was an average reduction of approximately 1% in the reproducibility error. The reproducibility scores did not significantly differ across sites. This study shows that FWE improves sensitivity and is thus promising for clinical applications, with the potential to identify more subtle changes. The increased reproducibility allows for smaller sample size or shorter trials in studies evaluating biomarkers of disease progression or treatment effects. Hum Brain Mapp 38:12-26, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Angela Albi
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
| | - Ofer Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Ludovico Minati
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
| | - Moira Marizzoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine-IRCCS San Giovanni di Dio-FBF, Brescia, Italy
| | - David Bartrés-Faz
- Department of Psychiatry and Clinical Psychobiology, Universitat de Barcelona and IDIBAPS, Barcelona, Spain
| | - Núria Bargalló
- Department of Neuroradiology and Magnetic Resonance Image core Facility, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Beatriz Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, and IDIBAPS, Barcelona, Spain
| | - Paolo Maria Rossini
- Department Geriatrics Neuroscience & Orthopedics, Catholic University, Policlinic Gemelli, Rome, Italy.,IRCSS S.Raffaele Pisana, Rome, Italy
| | - Camillo Marra
- Center for Neuropsychological Research, Catholic University, Rome, Italy
| | - Bernhard Müller
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Ute Fiedler
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Jens Wiltfang
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg August University, Göttingen, Germany
| | - Luca Roccatagliata
- Department of Neuroradiology, IRCSS San Martino University Hospital and IST, Genoa, Italy.,Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Agnese Picco
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Flavio Mariano Nobili
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Oliver Blin
- Pharmacology, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University-CNRS, UMR, Marseille, 7289, France
| | - Julien Sein
- CRMBM-CEMEREM, UMR 7339, Aix Marseille Université-CNRS, Marseille, France
| | | | - Mira Didic
- APHM, CHU Timone, Service de Neurologie et Neuropsychologie, Marseille, France.,Aix Marseille Université, Inserm, INS UMR_S 1106, Marseille, 13005, France
| | - Stephanie Bombois
- Université de Lille, Inserm, CHU Lille, U1171-Degenerative and vascular cognitive disorders, Lille, F-59000, France
| | - Renaud Lopes
- Université de Lille, Inserm, CHU Lille, U1171-Degenerative and vascular cognitive disorders, Lille, F-59000, France
| | - Régis Bordet
- Université de Lille, Inserm, CHU Lille, U1171-Degenerative and vascular cognitive disorders, Lille, F-59000, France
| | - Hélène Gros-Dagnac
- INSERM, Imagerie cérébrale et handicaps neurologiques, UMR 825, Toulouse, France.,Université de Toulouse, UPS, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU Purpan, Place du Dr Baylac, Toulouse Cedex 9, France
| | - Pierre Payoux
- INSERM, Imagerie cérébrale et handicaps neurologiques, UMR 825, Toulouse, France.,Université de Toulouse, UPS, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU Purpan, Place du Dr Baylac, Toulouse Cedex 9, France
| | | | | | | | - Antonio Ferretti
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy.,Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | - Massimo Caulo
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy.,Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | | | | | - Andrea Soricelli
- IRCCS SDN, Naples, Italy.,University of Naples Parthenope, Naples, Italy
| | - Lucilla Parnetti
- Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy
| | | | - Piero Floridi
- Neuroradiology Unit, Perugia General Hospital, Perugia, Italy
| | - Magda Tsolaki
- 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Antonios Drevelegas
- Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece.,Department of Radiology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Giovanni Frisoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine-IRCCS San Giovanni di Dio-FBF, Brescia, Italy.,Memory Clinic and LANVIE Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
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