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Abstract
To aid in the analysis of rhesus macaque brain images, we aligned digitized anatomical regions from the widely used atlas of Paxinos et al. to a published magnetic resonance imaging (MRI) template based on a large number of subjects. Digitally labelled atlas images were aligned to the template in 2D and then in 3D. The resulting grey matter regions appear qualitatively to be well registered to the template. To quantitatively validate the procedure, MR brain images of 20 rhesus macaques were aligned to the template along with regions drawn by hand in striatal and cortical areas in each subject's MRI. There was good geometric overlap between the hand drawn regions and the template regions. Positron emission tomography (PET) images of the same subjects showing uptake of a dopamine D2 receptor ligand were aligned to the template space, and good agreement was found between tracer binding measures calculated using the hand drawn and template regions. In conclusion, an anatomically defined set of rhesus macaque brain regions has been aligned to an MRI template and has been validated for analysis of PET imaging in a subset of striatal and cortical areas. The entire set of over 200 regions is publicly available at https://www.nitrc.org/ . Graphical Abstract ᅟ.
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Mollink J, van Baarsen KM, Dederen PJWC, Foxley S, Miller KL, Jbabdi S, Slump CH, Grotenhuis JA, Kleinnijenhuis M, van Cappellen van Walsum AM. Dentatorubrothalamic tract localization with postmortem MR diffusion tractography compared to histological 3D reconstruction. Brain Struct Funct 2015; 221:3487-501. [PMID: 26438333 PMCID: PMC5009171 DOI: 10.1007/s00429-015-1115-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2015] [Accepted: 09/08/2015] [Indexed: 12/11/2022]
Abstract
Diffusion-weighted imaging (DWI) tractography is a technique with great potential to characterize the in vivo anatomical position and integrity of white matter tracts. Tractography, however, remains an estimation of white matter tracts, and false-positive and false-negative rates are not available. The goal of the present study was to compare postmortem tractography of the dentatorubrothalamic tract (DRTT) by its 3D histological reconstruction, to estimate the reliability of the tractography algorithm in this specific tract. Recent studies have shown that the cerebellum is involved in cognitive, language and emotional functions besides its role in motor control. However, the exact working mechanism of the cerebellum is still to be elucidated. As the DRTT is the main output tract it is of special interest for the neuroscience and clinical community. A postmortem human brain specimen was scanned on a 7T MRI scanner using a diffusion-weighted steady-state free precession sequence. Tractography was performed with PROBTRACKX. The specimen was subsequently serially sectioned and stained for myelin using a modified Heidenhain–Woelke staining. Image registration permitted the 3D reconstruction of the histological sections and comparison with MRI. The spatial concordance between the two modalities was evaluated using ROC analysis and a similarity index (SI). ROC curves showed a high sensitivity and specificity in general. Highest measures were observed in the superior cerebellar peduncle with an SI of 0.72. Less overlap was found in the decussation of the DRTT at the level of the mesencephalon. The study demonstrates high spatial accuracy of postmortem probabilistic tractography of the DRTT when compared to a 3D histological reconstruction. This gives hopeful prospect for studying structure–function correlations in patients with cerebellar disorders using tractography of the DRTT.
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Affiliation(s)
- J Mollink
- Nuffield Department of Clinical Neurosciences, FMRIB Centre, University of Oxford, Oxford, UK. .,Department of Anatomy, Donders Institute for Brain Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands.
| | - K M van Baarsen
- Department of Neurosurgery, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - P J W C Dederen
- Department of Anatomy, Donders Institute for Brain Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - S Foxley
- Nuffield Department of Clinical Neurosciences, FMRIB Centre, University of Oxford, Oxford, UK
| | - K L Miller
- Nuffield Department of Clinical Neurosciences, FMRIB Centre, University of Oxford, Oxford, UK
| | - S Jbabdi
- Nuffield Department of Clinical Neurosciences, FMRIB Centre, University of Oxford, Oxford, UK
| | - C H Slump
- MIRA Institute for Biomedical and Technical Medicine, University of Twente, Enschede, The Netherlands
| | - J A Grotenhuis
- Department of Neurosurgery, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - M Kleinnijenhuis
- Nuffield Department of Clinical Neurosciences, FMRIB Centre, University of Oxford, Oxford, UK
| | - A M van Cappellen van Walsum
- Department of Anatomy, Donders Institute for Brain Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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