Cited by 93Alzheimer's disease research and treatmentsDementia and Cognitive Impairment ResearchNeuroinflammation and Neurodegeneration Mechanisms

A review of β-amyloid neuroimaging in Alzheimer's disease

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Adlard, Paul A., Tran, Bob A., Finkelstein, David I., Desmond, Patricia M., Johnston, Leigh A., Bush, Ashley I., Egan, Gary F.·2014·Frontiers in Neuroscience

Abstract

Alzheimer's disease (AD) is the most common cause of dementia worldwide. As advancing age is the greatest risk factor for developing AD, the number of those afflicted is expected to increase markedly with the aging of the world's population. The inability to definitively diagnose AD until autopsy remains an impediment to establishing effective targeted treatments. Neuroimaging has enabled in vivo visualization of pathological changes in the brain associated with the disease, providing a greater understanding of its pathophysiological development and progression. However, neuroimaging biomarkers do not yet offer clear advantages over current clinical diagnostic criteria for them to be accepted into routine clinical use. Nonetheless, current insights from neuroimaging combined with the elucidation of biochemical and molecular processes in AD are informing the ongoing development of new imaging techniques and their application. Much of this research has been greatly assisted by the availability of transgenic mouse models of AD. In this review we summarize the main efforts of neuroimaging in AD in humans and in mouse models, with a specific focus on β-amyloid, and discuss the potential of new applications and novel approaches.

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Crossref · 10.3389/fnins.2014.00327

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  • The capability to monitor alterations in tissue microstructure caused by Aβ accumulation may provide an important biomarker to monitor disease progression or treatment response.

    “The capability to monitor the alterations in tissue microstructure caused by the accumulation of Aβ may provide an important biomarker to monitor disease progression or treatment response (Adlard et al., 2014; Thal et al., 2014).”

    From Age-dependent microstructure alterations in 5xFAD mice by high-resolution diffusion tensor imaging (2022) · cites this paper as Adlard et al., 2014

    In “Current status of neuroimaging biomarkers in Alzheimer's disease” (page unavailable), the review discusses MRI measures of microscopic changes and says an MTR reduction may reflect amyloid deposition, but also metabolic dysfunction. It does not establish that the monitored microstructural changes are caused by Aβ accumulation or specifically propose those changes as a biomarker of treatment response; its discussion of monitoring therapy concerns PET imaging in mice. (LLM, conf=0.82)

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Authors
Adlard, P. A., Tran, B. A., Finkelstein, D. I., Desmond, P. M., Johnston, L. A., Bush, A. I., & Egan, G. F.
Affiliations
  • The University of Melbourne (AU)
  • The Royal Melbourne Hospital (AU)
  • Monash University (AU)
Corresponding author
Adlard, Paul A.
Venue
Frontiers in Neuroscience
Published
2014-10-31
Volume
8
Pages
327-327
ISSN
1662-453X (ISSN-L)
OpenAlex
W2001385435
Cited by
93
References
187
Citations by year
2026: 3 · 2025: 4 · 2024: 3 · 2023: 6 · 2022: 7 · 2021: 6 · 2020: 11 · 2019: 7 · 2018: 11 · 2017: 8 · 2016: 11 · 2015: 15 · 2014: 1
FWCI
1.37
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Neuroscience (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Strong
  • State Government of Victoria
  • Medical Research Council
  • National Health and Medical Research Council
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
Keywords
Alzheimer's disease, amyloid-beta, neuroimaging, amyloid imaging, neuroimaging biomarkers, transgenic mouse model, dementia diagnosis

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