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Imaging biomarkers in neurodegeneration : Current and future practices

Young, Peter N.E. ; Estarellas, Mar ; Coomans, Emma ; Srikrishna, Meera ; Beaumont, Helen ; Maass, Anne ; Venkataraman, Ashwin V. ; Lissaman, Rikki ; Jiménez, Daniel and Betts, Matthew J. , et al. (2020) In Alzheimer's Research and Therapy 12(1).
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... (More)

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.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Alzheimer's disease, dementia, Machine learning, MRI, Neurodegenerative diseases, Neuroimaging, PET
in
Alzheimer's Research and Therapy
volume
12
issue
1
article number
49
publisher
BioMed Central (BMC)
external identifiers
  • scopus:85084107120
  • pmid:32340618
ISSN
1758-9193
DOI
10.1186/s13195-020-00612-7
language
English
LU publication?
yes
id
3a7bd4a3-aa32-4925-8609-125baa224274
date added to LUP
2020-05-20 08:26:45
date last changed
2024-04-03 06:40:16
@article{3a7bd4a3-aa32-4925-8609-125baa224274,
  abstract     = {{<p>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.</p>}},
  author       = {{Young, Peter N.E. and Estarellas, Mar and Coomans, Emma and Srikrishna, Meera and Beaumont, Helen and Maass, Anne and Venkataraman, Ashwin V. and Lissaman, Rikki and Jiménez, Daniel and Betts, Matthew J. and McGlinchey, Eimear and Berron, David and O'Connor, Antoinette and Fox, Nick C. and Pereira, Joana B. and Jagust, William and Carter, Stephen F. and Paterson, Ross W. and Schöll, Michael}},
  issn         = {{1758-9193}},
  keywords     = {{Alzheimer's disease; dementia; Machine learning; MRI; Neurodegenerative diseases; Neuroimaging; PET}},
  language     = {{eng}},
  month        = {{04}},
  number       = {{1}},
  publisher    = {{BioMed Central (BMC)}},
  series       = {{Alzheimer's Research and Therapy}},
  title        = {{Imaging biomarkers in neurodegeneration : Current and future practices}},
  url          = {{http://dx.doi.org/10.1186/s13195-020-00612-7}},
  doi          = {{10.1186/s13195-020-00612-7}},
  volume       = {{12}},
  year         = {{2020}},
}