1
|
Mito R, Dhollander T, Xia Y, Raffelt D, Salvado O, Churilov L, Rowe CC, Brodtmann A, Villemagne VL, Connelly A. In vivo microstructural heterogeneity of white matter lesions in healthy elderly and Alzheimer's disease participants using tissue compositional analysis of diffusion MRI data. Neuroimage Clin 2020; 28:102479. [PMID: 33395971 PMCID: PMC7652769 DOI: 10.1016/j.nicl.2020.102479] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 09/25/2020] [Accepted: 10/19/2020] [Indexed: 12/13/2022]
Abstract
White matter hyperintensities (WMH) are regions of high signal intensity typically identified on fluid attenuated inversion recovery (FLAIR). Although commonly observed in elderly individuals, they are more prevalent in Alzheimer's disease (AD) patients. Given that WMH appear relatively homogeneous on FLAIR, they are commonly partitioned into location- or distance-based classes when investigating their relevance to disease. Since pathology indicates that such lesions are often heterogeneous, probing their microstructure in vivo may provide greater insight than relying on such arbitrary classification schemes. In this study, we investigated WMH in vivo using an advanced diffusion MRI method known as single-shell 3-tissue constrained spherical deconvolution (SS3T-CSD), which models white matter microstructure while accounting for grey matter and CSF compartments. Diffusion MRI data and FLAIR images were obtained from AD (n = 48) and healthy elderly control (n = 94) subjects. WMH were automatically segmented, and classified: (1) as either periventricular or deep; or (2) into three distance-based contours from the ventricles. The 3-tissue profile of WMH enabled their characterisation in terms of white matter-, grey matter-, and fluid-like characteristics of the diffusion signal. Our SS3T-CSD findings revealed substantial heterogeneity in the 3-tissue profile of WMH, both within lesions and across the various classes. Moreover, this heterogeneity information indicated that the use of different commonly used WMH classification schemes can result in different disease-based conclusions. We conclude that future studies of WMH in AD would benefit from inclusion of microstructural information when characterising lesions, which we demonstrate can be performed in vivo using SS3T-CSD.
Collapse
Affiliation(s)
- Remika Mito
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia.
| | - Thijs Dhollander
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Ying Xia
- CSIRO, Health & Biosecurity, The Australian eHealth Research Centre, Brisbane, Queensland, Australia
| | - David Raffelt
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
| | - Olivier Salvado
- CSIRO, Health & Biosecurity, The Australian eHealth Research Centre, Brisbane, Queensland, Australia; CSIRO Data61, Sydney, New South Wales, Australia
| | - Leonid Churilov
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Department of Medicine, Austin Health, University of Melbourne, Victoria, Australia
| | - Christopher C Rowe
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Department of Medicine, Austin Health, University of Melbourne, Victoria, Australia; Department of Molecular Imaging & Therapy, Centre for PET, Austin Health, Heidelberg, Victoria, Australia
| | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia; Eastern Clinical Research Unit, Monash University, Box Hill Hospital, Melbourne, Victoria, Australia
| | - Victor L Villemagne
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Department of Medicine, Austin Health, University of Melbourne, Victoria, Australia; Department of Molecular Imaging & Therapy, Centre for PET, Austin Health, Heidelberg, Victoria, Australia
| | - Alan Connelly
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| |
Collapse
|
2
|
Mito R, Raffelt D, Dhollander T, Vaughan DN, Tournier JD, Salvado O, Brodtmann A, Rowe CC, Villemagne VL, Connelly A. Reply: Cortical tau pathology: a major player in fibre-specific white matter reductions in Alzheimer's disease? Brain 2019; 141:e45. [PMID: 29668851 DOI: 10.1093/brain/awy086] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Affiliation(s)
- Remika Mito
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia.,Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, 3084, Australia
| | - David Raffelt
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia
| | - Thijs Dhollander
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia
| | - David N Vaughan
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia.,Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, 3084, Australia.,Department of Neurology, Austin Health, Heidelberg, Victoria, 2084, Australia
| | - J-Donald Tournier
- Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, WC2R 2LS, UK.,Centre for the Developing Brain, King's College London, London, WC2R 2LS, UK
| | - Olivier Salvado
- CSIRO, Health and Biosecurity, The Australian eHealth Research Centre, Brisbane, Queensland, 4029, Australia
| | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia.,Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, 3084, Australia.,Eastern Clinical Research Unit, Monash University, Box Hill Hospital, Melbourne, Victoria, 3128, Australia
| | - Christopher C Rowe
- Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Victoria, 3084, Australia.,Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, Victoria, 3084, Australia
| | - Victor L Villemagne
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia.,Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Victoria, 3084, Australia.,Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, Victoria, 3084, Australia
| | - Alan Connelly
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia.,Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, 3084, Australia
| |
Collapse
|
3
|
Mito R, Raffelt D, Dhollander T, Vaughan DN, Tournier JD, Salvado O, Brodtmann A, Rowe CC, Villemagne VL, Connelly A. Fibre-specific white matter reductions in Alzheimer’s disease and mild cognitive impairment. Brain 2018; 141:888-902. [DOI: 10.1093/brain/awx355] [Citation(s) in RCA: 159] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 11/08/2017] [Indexed: 12/13/2022] Open
Affiliation(s)
- Remika Mito
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, 3084, Australia
| | - David Raffelt
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia
| | - Thijs Dhollander
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia
| | - David N Vaughan
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, 3084, Australia
- Department of Neurology, Austin Health, Heidelberg, Victoria, 3084, Australia
| | - J-Donald Tournier
- Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, WC2R 2LS, UK
- Centre for the Developing Brain, King’s College London, London, WC2R 2LS, UK
| | - Olivier Salvado
- CSIRO, Health and Biosecurity, The Australian eHealth Research Centre, Brisbane, Queensland, 4029, Australia
| | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, 3084, Australia
- Eastern Clinical Research Unit, Monash University, Box Hill Hospital, Melbourne, Victoria, 3128, Australia
| | - Christopher C Rowe
- Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Victoria, 3084, Australia
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, Victoria, 3084, Australia
| | - Victor L Villemagne
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia
- Department of Medicine, Austin Health, University of Melbourne, Heidelberg, Victoria, 3084, Australia
- Department of Molecular Imaging and Therapy, Austin Health, Heidelberg, Victoria, 3084, Australia
| | - Alan Connelly
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, 3084, Australia
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, 3084, Australia
| |
Collapse
|
4
|
Gajamange S, Raffelt D, Dhollander T, Lui E, van der Walt A, Kilpatrick T, Fielding J, Connelly A, Kolbe S. Fibre-specific white matter changes in multiple sclerosis patients with optic neuritis. Neuroimage Clin 2017. [PMID: 29527473 PMCID: PMC5842545 DOI: 10.1016/j.nicl.2017.09.027] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Long term irreversible disability in multiple sclerosis (MS) is thought to be primarily driven by axonal degeneration. Axonal degeneration leads to degenerative atrophy, therefore early markers of axonal degeneration are required to predict clinical disability and treatment efficacy. Given that additional pathologies such as inflammation, demyelination and oedema are also present in MS, it is essential to develop axonal markers that are not confounded by these processes. The present study investigated a novel method for measuring axonal degeneration in MS based on high angular resolution diffusion magnetic resonance imaging. Unlike standard methods, this novel method involved advanced acquisition and modelling for improved axonal sensitivity and specificity. Recent work has developed analytical methods, two novel axonal markers, fibre density and cross-section, that can be estimated for each fibre direction in each voxel (termed a “fixel”). This technique, termed fixel-based analysis, thus simultaneously estimates axonal density and white matter atrophy from specific white matter tracts. Diffusion-weighted imaging datasets were acquired for 17 patients with a history of acute unilateral optic neuritis (35.3 ± 10.2 years, 11 females) and 14 healthy controls (32.7 ± 4.8 years, 8 females) on a 3 T scanner. Fibre density values were compared to standard diffusion tensor imaging parameters (fractional anisotropy and mean diffusivity) in lesions and normal appearing white matter. Group comparisons were performed for each fixel to assess putative differences in fibre density and fibre cross-section. Fibre density was observed to have a comparable sensitivity to fractional anisotropy for detecting white matter pathology in MS, but was not affected by crossing axonal fibres. Whole brain fixel-based analysis revealed significant reductions in fibre density and fibre cross-section in the inferior fronto-occipital fasciculus (including the optic radiations) of patients compared to controls. We interpret this result to indicate that this fixel-based approach is able to detect early loss of fibre density and cross-section in the optic radiations in MS patients with a history of optic neuritis. Fibre-specific markers of axonal degeneration should be investigated further for use in early stage therapeutic trials, or to monitor axonal injury in early stage MS. Fibre density is reduced in lesions and normal-appearing white matter in MS Fibre density detects white matter pathology in regions of crossing fibres Loss of fibre density and cross-section selectively evident in visual pathways of optic neuritis patients.
Collapse
Affiliation(s)
- Sanuji Gajamange
- Department of Anatomy and Neuroscience, University of Melbourne, Australia
| | - David Raffelt
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia
| | - Thijs Dhollander
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia
| | - Elaine Lui
- Department of Radiology, Royal Melbourne Hospital, University of Melbourne, Australia
| | | | - Trevor Kilpatrick
- Department of Anatomy and Neuroscience, University of Melbourne, Australia
| | - Joanne Fielding
- School of Psychological Sciences, Monash University, Australia
| | - Alan Connelly
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; The Florey Department of Neuroscience and Mental Health, University of Melbourne, Australia
| | - Scott Kolbe
- Department of Anatomy and Neuroscience, University of Melbourne, Australia; The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia.
| |
Collapse
|
5
|
Mito R, Raffelt D, Dhollander T, Vaughan DN, Salvado O, Brodtmann A, Rowe CC, Villemagne VL, Connelly A. [IC‐P‐165]: FIXEL‐BASED ANALYSIS OF FIBRE TRACT DEGENERATION IN MILD COGNITIVE IMPAIRMENT AND ALZHEIMER's DISEASE. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.2540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Remika Mito
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
| | - David Raffelt
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
| | - Thijs Dhollander
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
| | - David N. Vaughan
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
- Austin HealthMelbourneAustralia
| | | | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
| | - Christopher C. Rowe
- Austin HealthMelbourneAustralia
- AIBL Research GroupPerth and MelbourneAustralia
- The University of MelbourneParkvilleAustralia
| | - Victor L. Villemagne
- Austin HealthMelbourneAustralia
- AIBL Research GroupPerth and MelbourneAustralia
- The University of MelbourneParkvilleAustralia
- The Florey Institute of Neuroscience and Mental HealthMelbourneAustralia
| | - Alan Connelly
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
| |
Collapse
|
6
|
Mito R, Raffelt D, Dhollander T, Vaughan DN, Salvado O, Brodtmann A, Rowe CC, Villemagne VL, Connelly A. [P3–326]: FIXEL‐BASED ANALYSIS OF FIBRE TRACT DEGENERATION IN MILD COGNITIVE IMPAIRMENT AND ALZHEIMER's DISEASE. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.1541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Remika Mito
- Florey Institute of Neuroscience and Mental HealthMelbourneVICAustralia
| | - David Raffelt
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
| | - Thijs Dhollander
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
| | - David N. Vaughan
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
- Austin HealthMelbourneAustralia
| | - Olivier Salvado
- Commonwealth Scientific and Industrial Research OrganisationBrisbaneAustralia
| | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
| | - Christopher C. Rowe
- AIBL Research GroupPerth and MelbourneAustralia
- The University of MelbourneParkvilleAustralia
- Austin HealthHeidelbergAustralia
| | - Victor L.L. Villemagne
- Austin HealthMelbourneAustralia
- AIBL Research GroupPerth and MelbourneAustralia
- The Florey Institute of Neuroscience and Mental HealthMelbourneAustralia
| | - Alan Connelly
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
| |
Collapse
|
7
|
Gorgolewski KJ, Alfaro-Almagro F, Auer T, Bellec P, Capotă M, Chakravarty MM, Churchill NW, Cohen AL, Craddock RC, Devenyi GA, Eklund A, Esteban O, Flandin G, Ghosh SS, Guntupalli JS, Jenkinson M, Keshavan A, Kiar G, Liem F, Raamana PR, Raffelt D, Steele CJ, Quirion PO, Smith RE, Strother SC, Varoquaux G, Wang Y, Yarkoni T, Poldrack RA. BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. PLoS Comput Biol 2017; 13:e1005209. [PMID: 28278228 PMCID: PMC5363996 DOI: 10.1371/journal.pcbi.1005209] [Citation(s) in RCA: 156] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 03/23/2017] [Accepted: 02/23/2017] [Indexed: 12/13/2022] Open
Abstract
The rate of progress in human neurosciences is limited by the inability to easily apply a wide range of analysis methods to the plethora of different datasets acquired in labs around the world. In this work, we introduce a framework for creating, testing, versioning and archiving portable applications for analyzing neuroimaging data organized and described in compliance with the Brain Imaging Data Structure (BIDS). The portability of these applications (BIDS Apps) is achieved by using container technologies that encapsulate all binary and other dependencies in one convenient package. BIDS Apps run on all three major operating systems with no need for complex setup and configuration and thanks to the comprehensiveness of the BIDS standard they require little manual user input. Previous containerized data processing solutions were limited to single user environments and not compatible with most multi-tenant High Performance Computing systems. BIDS Apps overcome this limitation by taking advantage of the Singularity container technology. As a proof of concept, this work is accompanied by 22 ready to use BIDS Apps, packaging a diverse set of commonly used neuroimaging algorithms.
Collapse
Affiliation(s)
| | - Fidel Alfaro-Almagro
- Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Oxford University, Oxford, United Kingdom
| | - Tibor Auer
- Department of Psychology, Royal Holloway University of London, Egham, United Kingdom
| | - Pierre Bellec
- Centre de Recherche de l’Institut Universitaire Gériatrique de Montréal, Montreal, Canada
- Department of computer science and operations research, Université de Montréal, Montreal, Canada
| | - Mihai Capotă
- Parallel Computing Lab, Intel Corporation, Santa Clara, CA & Hillsboro, Oregon, United States of America
| | - M. Mallar Chakravarty
- Douglas Mental Health University Institute, McGill University, Montreal, Canada
- Department of Psychiatry McGill University, Montreal, Canada
| | - Nathan W. Churchill
- Keenan Research Centre of the Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Ontario, Canada
| | - Alexander Li Cohen
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | - R. Cameron Craddock
- Computational Neuroimaging Lab, Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York, United States of America
- Center for the Developing Brain, Child Mind Institute, New York, New York, United States of America
| | - Gabriel A. Devenyi
- Douglas Mental Health University Institute, McGill University, Montreal, Canada
- Department of Psychiatry McGill University, Montreal, Canada
| | - Anders Eklund
- Department of Biomedical Engineering, Linköping University, Linköping, Sweden
- Department of Computer and Information Science, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Oscar Esteban
- Department of Psychology, Stanford University, Stanford, California, United States of America
| | | | - Satrajit S. Ghosh
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Department of Otolaryngology, Harvard Medical School, Boston, Massachusetts, United States of America
| | - J. Swaroop Guntupalli
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire, United States of America
| | - Mark Jenkinson
- Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Oxford University, Oxford, United Kingdom
| | - Anisha Keshavan
- UC Berkeley-UCSF Graduate Program in Bioengineering, San Francisco, California, United States of America
| | - Gregory Kiar
- Center for Imaging Science, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Franziskus Liem
- University Research Priority Program "Dynamics of Healthy Aging", University of Zurich, Zurich, Switzerland
| | - Pradeep Reddy Raamana
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - David Raffelt
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
| | - Christopher J. Steele
- Douglas Mental Health University Institute, McGill University, Montreal, Canada
- Department of Psychiatry McGill University, Montreal, Canada
| | - Pierre-Olivier Quirion
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Robert E. Smith
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
| | - Stephen C. Strother
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Gaël Varoquaux
- Parietal team, INRIA Saclay Ile-de-France, Palaiseau, France
| | - Yida Wang
- Parallel Computing Lab, Intel Corporation, Santa Clara, CA & Hillsboro, Oregon, United States of America
| | - Tal Yarkoni
- Department of Psychology, University of Texas at Austin, Austin, Texas, United States of America
| | - Russell A. Poldrack
- Department of Psychology, Stanford University, Stanford, California, United States of America
| |
Collapse
|
8
|
Küpper H, Kudernatsch M, Pieper T, Groeschel S, Tournier JD, Raffelt D, Winkler P, Holthausen H, Staudt M. Predicting hand function after hemidisconnection. Brain 2016; 139:2456-68. [PMID: 27383529 DOI: 10.1093/brain/aww170] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 05/31/2016] [Indexed: 12/13/2022] Open
Abstract
Hemidisconnections (i.e. hemispherectomies or hemispherotomies) invariably lead to contralateral hemiparesis. Many patients with a pre-existing hemiparesis, however, experience no deterioration in motor functions, and some can still grasp with their paretic hand after hemidisconnection. The scope of our study was to predict this phenomenon. Hypothesizing that preserved contralateral grasping ability after hemidisconnection can only occur in patients controlling their paretic hands via ipsilateral corticospinal projections already in the preoperative situation, we analysed the asymmetries of the brainstem (by manual magnetic resonance imaging volumetry) and of the structural connectivity of the corticospinal tracts within the brainstem (by magnetic resonance imaging diffusion tractography), assuming that marked hypoplasia or Wallerian degeneration on the lesioned side in patients who can grasp with their paretic hands indicate ipsilateral control. One hundred and two patients who underwent hemidisconnections between 0.8 and 36 years of age were included. Before the operation, contralateral hand function was normal in 3/102 patients, 47/102 patients showed hemiparetic grasping ability and 52/102 patients could not grasp with their paretic hands. After hemidisconnection, 20/102 patients showed a preserved grasping ability, and 5/102 patients began to grasp with their paretic hands only after the operation. All these 25 patients suffered from pre- or perinatal brain lesions. Thirty of 102 patients lost their grasping ability. This group included all seven patients with a post-neonatally acquired or progressive brain lesion who could grasp before the operation, and also all three patients with a preoperatively normal hand function. The remaining 52/102 patients were unable to grasp pre- and postoperatively. On magnetic resonance imaging, the patients with preserved grasping showed significantly more asymmetric brainstem volumes than the patients who lost their grasping ability. Similarly, these patients showed striking asymmetries in the structural connectivity of the corticospinal tracts. In summary, normal preoperative hand function and a post-neonatally acquired or progressive lesion predict a loss of grasping ability after hemidisconnection. A postoperatively preserved grasping ability is possible in hemiparetic patients with pre- or perinatal lesions, and this is highly likely when the brainstem is asymmetric and especially when the structural connectivity of the corticospinal tracts within the brainstem is asymmetric.
Collapse
Affiliation(s)
- Hanna Küpper
- 1 Department of Paediatric Neurology and Developmental Medicine, Children's Hospital, University of Tübingen, Germany
| | - Manfred Kudernatsch
- 2 Neurosurgery Clinic and Clinic for Epilepsy Surgery, Schön Klinik Vogtareuth, Germany
| | - Tom Pieper
- 3 Clinic for Neuropaediatrics and Neurorehabilitation, Epilepsy Centre for Children and Adolescents, Schön Klinik, Vogtareuth, Germany
| | - Samuel Groeschel
- 1 Department of Paediatric Neurology and Developmental Medicine, Children's Hospital, University of Tübingen, Germany
| | | | - David Raffelt
- 5 Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
| | - Peter Winkler
- 3 Clinic for Neuropaediatrics and Neurorehabilitation, Epilepsy Centre for Children and Adolescents, Schön Klinik, Vogtareuth, Germany
| | - Hans Holthausen
- 3 Clinic for Neuropaediatrics and Neurorehabilitation, Epilepsy Centre for Children and Adolescents, Schön Klinik, Vogtareuth, Germany
| | - Martin Staudt
- 1 Department of Paediatric Neurology and Developmental Medicine, Children's Hospital, University of Tübingen, Germany 3 Clinic for Neuropaediatrics and Neurorehabilitation, Epilepsy Centre for Children and Adolescents, Schön Klinik, Vogtareuth, Germany
| |
Collapse
|
9
|
Calamante F, Smith RE, Tournier JD, Raffelt D, Connelly A. Quantification of voxel-wise total fibre density: Investigating the problems associated with track-count mapping. Neuroimage 2015; 117:284-93. [DOI: 10.1016/j.neuroimage.2015.05.070] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Revised: 04/30/2015] [Accepted: 05/24/2015] [Indexed: 12/13/2022] Open
|
10
|
Willats L, Raffelt D, Smith RE, Tournier JD, Connelly A, Calamante F. Quantification of track-weighted imaging (TWI): Characterisation of within-subject reproducibility and between-subject variability. Neuroimage 2014; 87:18-31. [DOI: 10.1016/j.neuroimage.2013.11.016] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2013] [Revised: 10/21/2013] [Accepted: 11/05/2013] [Indexed: 02/06/2023] Open
|
11
|
Raffelt D, Tournier J, Villemagne V, Rowe C, Crozier S, Salvado O, Connelly A. IC‐P‐147: Combining white matter density and atrophy information to improve the characterization of axonal loss in Alzheimer's disease. Alzheimers Dement 2013. [DOI: 10.1016/j.jalz.2013.05.144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|
12
|
Pannek K, Raffelt D, Bell C, Mathias JL, Rose SE. HOMOR: higher order model outlier rejection for high b-value MR diffusion data. Neuroimage 2012; 63:835-42. [PMID: 22819964 DOI: 10.1016/j.neuroimage.2012.07.022] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2012] [Revised: 06/15/2012] [Accepted: 07/11/2012] [Indexed: 12/13/2022] Open
Abstract
Diffusion MR images are prone to artefacts caused by head movement and cardiac pulsation. Previous techniques for the automated voxel-wise detection of signal intensity outliers have relied on the fit of the diffusion tensor to the data (RESTORE). However, the diffusion tensor cannot appropriately model more than a single fibre population, which may lead to inaccuracies when identifying outlier voxels in crossing fibre regions, particularly when high b-values are used to obtain increased angular contrast. HOMOR (higher order model outlier rejection) was developed to overcome this limitation and is introduced in this study. HOMOR is closely related to RESTORE, but employs a higher order model capable of resolving multiple fibre populations within a voxel. Using high b-value (b=3000 s/mm2) diffusion data from a population of 90 healthy participants, as well as simulations, HOMOR was found to identify a decreased number of outlier voxels compared to RESTORE primarily within areas of crossing, bending and fanning fibres. At lower b-values, however, RESTORE and HOMOR give similar results, which is demonstrated using diffusion data acquired at b=1000 s/mm2 in a mixed cohort. This study demonstrates that, although RESTORE is suitable for low b-value data, HOMOR is better suited for high b-value data.
Collapse
Affiliation(s)
- Kerstin Pannek
- The University of Queensland, Centre for Clinical Research, Brisbane, Australia
| | | | | | | | | |
Collapse
|
13
|
Raffelt D, Tournier JD, Crozier S, Ellis K, Martins R, Villemagne V, Masters C, Ames D, Rowe C, Salvado O, Connelly A. IC‐P‐108: Apparent fibre density: A novel MRI approach that identifies specific white matter tracts affected in Alzheimer's disease and MCI. Alzheimers Dement 2012. [DOI: 10.1016/j.jalz.2012.05.142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
| | | | | | | | | | | | | | - David Ames
- University of MelbourneParkvilleAustralia
| | | | | | | |
Collapse
|
14
|
Raffelt D, Tournier JD, Crozier S, Ellis K, Martins R, Villemagne V, Masters C, Ames D, Rowe C, Salvado O, Connelly A. P4‐159: Apparent fibre density: A novel MRI approach that identifies specific white matter tracts affected in Alzheimer's disease and MCI. Alzheimers Dement 2012. [DOI: 10.1016/j.jalz.2012.05.1863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
| | | | | | | | | | | | | | - David Ames
- University of MelbourneParkvilleAustralia
| | | | | | | |
Collapse
|
15
|
Raffelt D, Tournier JD, Rose S, Ridgway GR, Henderson R, Crozier S, Salvado O, Connelly A. Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images. Neuroimage 2012; 59:3976-94. [PMID: 22036682 DOI: 10.1016/j.neuroimage.2011.10.045] [Citation(s) in RCA: 387] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2011] [Revised: 08/26/2011] [Accepted: 10/10/2011] [Indexed: 10/16/2022] Open
|
16
|
Raffelt D, Tournier JD, Crozier S, Connelly A, Salvado O. Reorientation of fiber orientation distributions using apodized point spread functions. Magn Reson Med 2011; 67:844-55. [PMID: 22183751 DOI: 10.1002/mrm.23058] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2010] [Revised: 05/19/2011] [Accepted: 05/25/2011] [Indexed: 11/06/2022]
Abstract
Using high angular resolution diffusion-weighted images, spherical deconvolution enables multiple white matter fiber populations to be resolved within a single voxel by computing the fiber orientation distribution (FOD). Higher order information provided by FODs could improve several methods for investigating population differences in white matter, including image registration, voxel-based analysis, atlas-based segmentation and labeling, and group average fiber tractography. All of these methods require spatial normalization of FODs. In this article, a novel method to reorient the FOD is presented, which is an important step required for FOD spatial normalization. The proposed method was assessed using both qualitative and quantitative experiments, with numerical simulations and in vivo human data. Results demonstrate that the proposed method improves FOD reorientation accuracy, removes undesired artefacts, and decreases computation time compared to a previous approach. The utility of the proposed method is illustrated by nonlinear FOD spatial normalization of 10 human subjects. Accurate reorientation and normalization of FODs is a critical step toward investigating white matter tissue in the context of multiple fiber orientations.
Collapse
Affiliation(s)
- David Raffelt
- CSIRO Preventative Health National Research Flagship ICTC, The Australian e-Health Research Centre, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
| | | | | | | | | |
Collapse
|
17
|
Mito R, Dhollander T, Raffelt D, Xia Y, Salvado O, Brodtmann A, Rowe CC, Villemagne VL, Connelly A. P2‐382: ADVANCED DIFFUSION MRI ENABLES
IN VIVO
INVESTIGATION OF MICROSTRUCTURAL HETEROGENEITY OF WHITE MATTER HYPERINTENSITIES IN ALZHEIMER'S DISEASE. Alzheimers Dement 2006. [DOI: 10.1016/j.jalz.2018.06.1073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Remika Mito
- University of MelbourneVictoriaAustralia
- Florey Institute of Neuroscience and Mental HealthMelbourneAustralia
| | - Thijs Dhollander
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
| | - David Raffelt
- Florey Institute of Neuroscience and Mental HealthMelbourneVictoriaAustralia
| | - Ying Xia
- Commonwealth Scientific and Industrial Research OrganisationBrisbaneAustralia
| | | | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental HealthMelbourneAustralia
| | | | | | - Alan Connelly
- The Florey Institute of Neuroscience and Mental HealthMelbourneAustralia
| |
Collapse
|