Imaging biomarkers in neurodegeneration: current and future practices
Abstract There is an increasing role for biological markers (biomarkers) in the understanding and diagnosis of neurodegenerative disorders. The application of imaging biomarkers specifically for the in vivo investigation of neurodegenerative disorders has increased substantially over the past decade...
| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2020-04-01
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| Series: | Alzheimer’s Research & Therapy |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13195-020-00612-7 |
| _version_ | 1818499835497545728 |
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| author | Peter N. E. Young Mar Estarellas Emma Coomans Meera Srikrishna Helen Beaumont Anne Maass Ashwin V. Venkataraman Rikki Lissaman Daniel Jiménez Matthew J. Betts Eimear McGlinchey David Berron Antoinette O’Connor Nick C. Fox Joana B. Pereira William Jagust Stephen F. Carter Ross W. Paterson Michael Schöll |
| author_facet | Peter N. E. Young Mar Estarellas Emma Coomans Meera Srikrishna Helen Beaumont Anne Maass Ashwin V. Venkataraman Rikki Lissaman Daniel Jiménez Matthew J. Betts Eimear McGlinchey David Berron Antoinette O’Connor Nick C. Fox Joana B. Pereira William Jagust Stephen F. Carter Ross W. Paterson Michael Schöll |
| author_sort | Peter N. E. Young |
| collection | DOAJ |
| description | Abstract There is an increasing role for biological markers (biomarkers) in the understanding and diagnosis of neurodegenerative disorders. The application of imaging biomarkers specifically for the in vivo investigation of neurodegenerative disorders has increased substantially over the past decades and continues to provide further benefits both to the diagnosis and understanding of these diseases. This review forms part of a series of articles which stem from the University College London/University of Gothenburg course “Biomarkers in neurodegenerative diseases”. In this review, we focus on neuroimaging, specifically positron emission tomography (PET) and magnetic resonance imaging (MRI), giving an overview of the current established practices clinically and in research as well as new techniques being developed. We will also discuss the use of machine learning (ML) techniques within these fields to provide additional insights to early diagnosis and multimodal analysis. |
| first_indexed | 2024-12-10T20:34:58Z |
| format | Article |
| id | doaj.art-cc18d8b5f3d347b3a852a8950a86de7c |
| institution | Directory Open Access Journal |
| issn | 1758-9193 |
| language | English |
| last_indexed | 2024-12-10T20:34:58Z |
| publishDate | 2020-04-01 |
| publisher | BMC |
| record_format | Article |
| series | Alzheimer’s Research & Therapy |
| spelling | doaj.art-cc18d8b5f3d347b3a852a8950a86de7c2022-12-22T01:34:35ZengBMCAlzheimer’s Research & Therapy1758-91932020-04-0112111710.1186/s13195-020-00612-7Imaging biomarkers in neurodegeneration: current and future practicesPeter N. E. Young0Mar Estarellas1Emma Coomans2Meera Srikrishna3Helen Beaumont4Anne Maass5Ashwin V. Venkataraman6Rikki Lissaman7Daniel Jiménez8Matthew J. Betts9Eimear McGlinchey10David Berron11Antoinette O’Connor12Nick C. Fox13Joana B. Pereira14William Jagust15Stephen F. Carter16Ross W. Paterson17Michael Schöll18Wallenberg Centre for Molecular and Translational Medicine and the Department of Psychiatry and Neurochemistry, University of Gothenburg, Sahlgrenska University HospitalCentre for Medical Image Computing (CMIC), Department of Computer Science & Department of Medical Physics and Biomedical Engineering, University College LondonDepartment of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMCWallenberg Centre for Molecular and Translational Medicine and the Department of Psychiatry and Neurochemistry, University of Gothenburg, Sahlgrenska University HospitalNeuroscience and Aphasia Research Unit, Division of Neuroscience and Experimental Psychology, The University of ManchesterGerman Center for Neurodegenerative Diseases (DZNE)Division of Brain Sciences, Imperial College LondonCardiff University Brain Research Imaging Centre (CUBRIC), School of PsychologyDementia Research Centre, UCL Institute of Neurology, University College LondonGerman Center for Neurodegenerative Diseases (DZNE)Trinity College Dublin, The University of DublinClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund UniversityDementia Research Centre, UCL Institute of Neurology, University College LondonDementia Research Centre, UCL Institute of Neurology, University College LondonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund UniversityHelen Wills Neuroscience Institute, University of CaliforniaDepartment of Psychiatry, School of Clinical Medicine, University of CambridgeDementia Research Centre, UCL Institute of Neurology, University College LondonWallenberg Centre for Molecular and Translational Medicine and the Department of Psychiatry and Neurochemistry, University of Gothenburg, Sahlgrenska University HospitalAbstract There is an increasing role for biological markers (biomarkers) in the understanding and diagnosis of neurodegenerative disorders. The application of imaging biomarkers specifically for the in vivo investigation of neurodegenerative disorders has increased substantially over the past decades and continues to provide further benefits both to the diagnosis and understanding of these diseases. This review forms part of a series of articles which stem from the University College London/University of Gothenburg course “Biomarkers in neurodegenerative diseases”. In this review, we focus on neuroimaging, specifically positron emission tomography (PET) and magnetic resonance imaging (MRI), giving an overview of the current established practices clinically and in research as well as new techniques being developed. We will also discuss the use of machine learning (ML) techniques within these fields to provide additional insights to early diagnosis and multimodal analysis.http://link.springer.com/article/10.1186/s13195-020-00612-7Neurodegenerative diseasesNeuroimagingPETMRIAlzheimer’s diseaseMachine learning |
| spellingShingle | Peter N. E. Young Mar Estarellas Emma Coomans Meera Srikrishna Helen Beaumont Anne Maass Ashwin V. Venkataraman Rikki Lissaman Daniel Jiménez Matthew J. Betts Eimear McGlinchey David Berron Antoinette O’Connor Nick C. Fox Joana B. Pereira William Jagust Stephen F. Carter Ross W. Paterson Michael Schöll Imaging biomarkers in neurodegeneration: current and future practices Alzheimer’s Research & Therapy Neurodegenerative diseases Neuroimaging PET MRI Alzheimer’s disease Machine learning |
| title | Imaging biomarkers in neurodegeneration: current and future practices |
| title_full | Imaging biomarkers in neurodegeneration: current and future practices |
| title_fullStr | Imaging biomarkers in neurodegeneration: current and future practices |
| title_full_unstemmed | Imaging biomarkers in neurodegeneration: current and future practices |
| title_short | Imaging biomarkers in neurodegeneration: current and future practices |
| title_sort | imaging biomarkers in neurodegeneration current and future practices |
| topic | Neurodegenerative diseases Neuroimaging PET MRI Alzheimer’s disease Machine learning |
| url | http://link.springer.com/article/10.1186/s13195-020-00612-7 |
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