Structural neuroimaging as clinical predictor: A review of machine learning applications
In this paper, we provide an extensive overview of machine learning techniques applied to structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We specifically address practical problems commonly encountered in the literature, with the aim of helping researchers improve th...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-01-01
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| Series: | NeuroImage: Clinical |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158218302602 |
| _version_ | 1830221884411609088 |
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| author | José María Mateos-Pérez Mahsa Dadar María Lacalle-Aurioles Yasser Iturria-Medina Yashar Zeighami Alan C. Evans |
| author_facet | José María Mateos-Pérez Mahsa Dadar María Lacalle-Aurioles Yasser Iturria-Medina Yashar Zeighami Alan C. Evans |
| author_sort | José María Mateos-Pérez |
| collection | DOAJ |
| description | In this paper, we provide an extensive overview of machine learning techniques applied to structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We specifically address practical problems commonly encountered in the literature, with the aim of helping researchers improve the application of these techniques in future works. Additionally, we survey how these algorithms are applied to a wide range of diseases and disorders (e.g. Alzheimer's disease (AD), Parkinson's disease (PD), autism, multiple sclerosis, traumatic brain injury, etc.) in order to provide a comprehensive view of the state of the art in different fields. Keywords: Neuroimaging, Structural magnetic resonance imaging, Machine learning, Predictive modeling, Alzheimer, Autism, Multiple sclerosis, Parkinson, SVMs, Ensembling, Cross-validation |
| first_indexed | 2024-12-18T08:34:20Z |
| format | Article |
| id | doaj.art-f0e6d35c9a8f427e89cb69a6f01d40d1 |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-12-18T08:34:20Z |
| publishDate | 2018-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-f0e6d35c9a8f427e89cb69a6f01d40d12022-12-21T21:14:23ZengElsevierNeuroImage: Clinical2213-15822018-01-0120506522Structural neuroimaging as clinical predictor: A review of machine learning applicationsJosé María Mateos-Pérez0Mahsa Dadar1María Lacalle-Aurioles2Yasser Iturria-Medina3Yashar Zeighami4Alan C. Evans5Corresponding author.; Montreal Neurological Institute, McGill University, Montreal, Quebec, CanadaMontreal Neurological Institute, McGill University, Montreal, Quebec, CanadaMontreal Neurological Institute, McGill University, Montreal, Quebec, CanadaMontreal Neurological Institute, McGill University, Montreal, Quebec, CanadaMontreal Neurological Institute, McGill University, Montreal, Quebec, CanadaMontreal Neurological Institute, McGill University, Montreal, Quebec, CanadaIn this paper, we provide an extensive overview of machine learning techniques applied to structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We specifically address practical problems commonly encountered in the literature, with the aim of helping researchers improve the application of these techniques in future works. Additionally, we survey how these algorithms are applied to a wide range of diseases and disorders (e.g. Alzheimer's disease (AD), Parkinson's disease (PD), autism, multiple sclerosis, traumatic brain injury, etc.) in order to provide a comprehensive view of the state of the art in different fields. Keywords: Neuroimaging, Structural magnetic resonance imaging, Machine learning, Predictive modeling, Alzheimer, Autism, Multiple sclerosis, Parkinson, SVMs, Ensembling, Cross-validationhttp://www.sciencedirect.com/science/article/pii/S2213158218302602 |
| spellingShingle | José María Mateos-Pérez Mahsa Dadar María Lacalle-Aurioles Yasser Iturria-Medina Yashar Zeighami Alan C. Evans Structural neuroimaging as clinical predictor: A review of machine learning applications NeuroImage: Clinical |
| title | Structural neuroimaging as clinical predictor: A review of machine learning applications |
| title_full | Structural neuroimaging as clinical predictor: A review of machine learning applications |
| title_fullStr | Structural neuroimaging as clinical predictor: A review of machine learning applications |
| title_full_unstemmed | Structural neuroimaging as clinical predictor: A review of machine learning applications |
| title_short | Structural neuroimaging as clinical predictor: A review of machine learning applications |
| title_sort | structural neuroimaging as clinical predictor a review of machine learning applications |
| url | http://www.sciencedirect.com/science/article/pii/S2213158218302602 |
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