Studying neuroanatomy using MRI
The study of neuroanatomy using imaging enables key insights into how our brains function, are shaped by genes and environment, and change with development, aging, and disease. Developments in MRI acquisition, image processing, and data modelling have been key to these advances. However, MRI provide...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
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Nature Publishing Group
2017
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| Online Access: | https://eprints.nottingham.ac.uk/40069/ |
| _version_ | 1848795978216243200 |
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| author | Lerch, Jason P. van der Kouwe, André J.W. Raznahan, Armin Paus, Tomas Johansen-Berg, Heidi Miller, Karla L. Smith, Stephen M. Fischl, Bruce Sotiropoulos, Stamatios N. |
| author_facet | Lerch, Jason P. van der Kouwe, André J.W. Raznahan, Armin Paus, Tomas Johansen-Berg, Heidi Miller, Karla L. Smith, Stephen M. Fischl, Bruce Sotiropoulos, Stamatios N. |
| author_sort | Lerch, Jason P. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The study of neuroanatomy using imaging enables key insights into how our brains function, are shaped by genes and environment, and change with development, aging, and disease. Developments in MRI acquisition, image processing, and data modelling have been key to these advances. However, MRI provides an indirect measurement of the biological signals we aim to investigate. Thus, artifacts and key questions of correct interpretation can confound the readouts provided by anatomical MRI. In this review we provide an overview of the methods for measuring macro- and mesoscopic structure and inferring microstructural properties; we also describe key artefacts and confounds that can lead to incorrect conclusions. Ultimately, we believe that, though methods need to improve and caution is required in its interpretation, structural MRI continues to have great promise in furthering our understanding of how the brain works. |
| first_indexed | 2025-11-14T19:40:40Z |
| format | Article |
| id | nottingham-40069 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:40:40Z |
| publishDate | 2017 |
| publisher | Nature Publishing Group |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-400692020-05-04T18:33:48Z https://eprints.nottingham.ac.uk/40069/ Studying neuroanatomy using MRI Lerch, Jason P. van der Kouwe, André J.W. Raznahan, Armin Paus, Tomas Johansen-Berg, Heidi Miller, Karla L. Smith, Stephen M. Fischl, Bruce Sotiropoulos, Stamatios N. The study of neuroanatomy using imaging enables key insights into how our brains function, are shaped by genes and environment, and change with development, aging, and disease. Developments in MRI acquisition, image processing, and data modelling have been key to these advances. However, MRI provides an indirect measurement of the biological signals we aim to investigate. Thus, artifacts and key questions of correct interpretation can confound the readouts provided by anatomical MRI. In this review we provide an overview of the methods for measuring macro- and mesoscopic structure and inferring microstructural properties; we also describe key artefacts and confounds that can lead to incorrect conclusions. Ultimately, we believe that, though methods need to improve and caution is required in its interpretation, structural MRI continues to have great promise in furthering our understanding of how the brain works. Nature Publishing Group 2017-02-23 Article PeerReviewed Lerch, Jason P., van der Kouwe, André J.W., Raznahan, Armin, Paus, Tomas, Johansen-Berg, Heidi, Miller, Karla L., Smith, Stephen M., Fischl, Bruce and Sotiropoulos, Stamatios N. (2017) Studying neuroanatomy using MRI. Nature Neuroscience, 20 (3). pp. 314-326. ISSN 1546-1726 brain magnetic resonance imaging software http://www.nature.com/neuro/journal/v20/n3/full/nn.4501.html doi:10.1038/nn.4501 doi:10.1038/nn.4501 |
| spellingShingle | brain magnetic resonance imaging software Lerch, Jason P. van der Kouwe, André J.W. Raznahan, Armin Paus, Tomas Johansen-Berg, Heidi Miller, Karla L. Smith, Stephen M. Fischl, Bruce Sotiropoulos, Stamatios N. Studying neuroanatomy using MRI |
| title | Studying neuroanatomy using MRI |
| title_full | Studying neuroanatomy using MRI |
| title_fullStr | Studying neuroanatomy using MRI |
| title_full_unstemmed | Studying neuroanatomy using MRI |
| title_short | Studying neuroanatomy using MRI |
| title_sort | studying neuroanatomy using mri |
| topic | brain magnetic resonance imaging software |
| url | https://eprints.nottingham.ac.uk/40069/ https://eprints.nottingham.ac.uk/40069/ https://eprints.nottingham.ac.uk/40069/ |