The Key Role of Magnetic Resonance Imaging in the Detection of Neurodegenerative Diseases-Associated Biomarkers: A Review

Li, Ke-Ru; Wu, Anguo; Tang, Yong; He, Xiao‐Peng; Yu, Chong-Lin; Wu, Jianming; Hu, Guangqiang; Yu, Lu

doi:10.1007/s12035-022-02944-x

Cited by 13 publications

(5 citation statements)

References 211 publications

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“…We have assessed noradrenergic degeneration in cortical regions that are highly affected in AD and PD, but noradrenergic innervation encompasses throughout the neocortex, with dense innervation to the thalamus and dentate gyrus that supports storage of synaptic information and memory formation, which can be of interests for future endeavors (90). Diffusion MRI can model and assess the microstructure of the white matter tracts, and has shown to be pathologically sensitive in neurodegenerative diseases (19,23,(91)(92)(93). However, the signal-to-noise ratio, and partial volume effect of diffusion MRI may affect the reproducibility of FA and MD in small regions such as the LC.…”

Section: Discussionmentioning

confidence: 99%

Microstructural integrity of the locus coeruleus and its tracts reflect noradrenergic degeneration in Alzheimer’s and Parkinson’s disease

Lin,

Frigerio,

Bol

et al. 2023

Preprint

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Background Degeneration of the locus coeruleus (LC) noradrenergic system contributes to clinical symptoms in Alzheimer’s (AD) and Parkinson’s disease (PD). Diffusion MRI has potential to evaluate the integrity of the LC noradrenergic system. The aim of the current study was to determine whether diffusion MRI-measured integrity of the LC and its tract is sensitive to noradrenergic degeneration in AD and PD.Methods Post-mortem in-situ T1-weighted and multi-shell diffusion MRI were performed for 9 AD, 14 PD, and 8 control brain donors. Fractional anisotropy (FA) and Mean diffusivity (MD), were derived from the LC, and from tracts between the LC and anterior cingulate cortex, dorsolateral prefrontal cortex (DLPFC), primary motor cortex (M1) and hippocampus. Brain tissue sections of the LC and cortical regions were obtained and immunostained for dopamine-beta hydroxylase (DBH) to quantify noradrenergic cell density and fiber load. Group comparisons and correlations between outcome measures were performed using linear regression and partial correlations.Results AD and PD cases showed loss of LC noradrenergic cells and fibers. In the cortex, AD cases showed increased DBH + immunoreactivity in the DLPFC compared to PD cases and controls, while PD cases showed reduced DBH + immunoreactivity in the M1 compared to controls. Higher FA within the LC was found for AD, which was correlated with loss of noradrenergic cells and fibers in the LC. Increased FA of the LC-DLPFC tract was correlated with LC noradrenergic fiber loss in the combined AD and control group, whereas the LC-M1 tract was correlated with LC noradrenergic neuronal loss in the combined PD and control group. Tract alterations were not correlated with cortical DBH + immunoreactivity.Conclusions In AD and PD, diffusion MRI may have the potential to capture noradrenergic-related alteration within the LC and its tract, driven by local noradrenergic neuronal loss within the LC, rather than noradrenergic changes in the cortex.

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Section: Discussionmentioning

confidence: 99%

Microstructural integrity of the locus coeruleus and its tracts reflect noradrenergic degeneration in Alzheimer’s and Parkinson’s disease

Lin,

Frigerio,

Bol

et al. 2023

Preprint

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“…The number of publications on HD in the PubMed database between 1949 and 2022 reached 14, 504 and is growing rapidly since the early 1980s, but only 1, 538 of these (10.6%) were about medical imaging in HD, and only 664 of these (4.58%) were about the use of Artificial Intelligence (AI) for the diagnosis and treatment. Thus, an urgent need is evident to intensify the efforts of scientists, engineers and clinicians to improve this situation [6,49]. This is fostered by current trends in the development of eHealth, but also in preventive medicine, personalised medicine and precision medicine, aimed at the development of Clinic 4.0 -medical equivalent of Industry 4.0.…”

Section: State Of the Art -Neuroimaging Techniquesmentioning

confidence: 99%

“…The non-invasiveness of MRI and the ability to use MRI to detect specific biomarkers of neurodegenerative diseases such as HD provide a basis for early diagnosis, prevention and treatment of the causes of neurodegenerative diseases, rather than just counteracting their symptoms [49]. The scientific and clinical problem is to find markers reflecting very early lesions starting decades before the onset of clinical symptoms.…”

Section: State Of the Art -Neuroimaging Techniquesmentioning

confidence: 99%

Survey on the Most Current Image Processing Methods in Huntington's Disease Diagnostics and Progression Assessment

Kawala-Sterniuk,

Mikolajewski,

Bryniarska

et al. 2024

csci

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Huntington's disease (HD) is a rare, incurable neurodegenerative disorder where fast and non-invasive diagnosis targeting patients' condition plays a crucial role. In modern medicine, various scientific areas are being combined, such as computing, medicine and biomedical engineering. This survey is focused on the most recent image processing methods applied not only for the purpose of diagnosing HD but also for the assessment of its progression severity, in order to contribute to the effort to prolong life of and to improve its quality.

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“…Due to its relatively economical and convenient properties, MRI plays a vital role in the clinical diagnosis of AD as a noninvasive clinical test (Chandra et al ., 2019 ). MRI techniques, such as structural MRI, fMRI, MRS, DTI, and ASL, remain effective in the detection of AD (Li et al ., 2022a ; McKhann et al ., 2011 ; Rankin et al ., 2006 ). Each MRI technique has its pros and cons in the detection of AD.…”

Section: Mrimentioning

confidence: 99%

Neuroimaging modalities in the detection of Alzheimer's disease-associated biomarkers

Dang

Wang

et al. 2023

Psychoradiology

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Alzheimer's disease (AD) is the most common cause of dementia. Neuropathological changes in AD patients occur up to 10–20 years before the emergence of clinical symptoms. Specific diagnosis and appropriate intervention strategies are crucial during the phase of mild cognitive impairment (MCI) and AD. The detection of biomarkers has emerged as a promising tool for tracking the efficacy of potential therapies, making an early disease diagnosis, and prejudging treatment prognosis. Specifically, multiple neuroimaging modalities, including magnetic resonance imaging (MRI), positron emission tomography, optical imaging, and single photon emission-computed tomography, have provided a few potential biomarkers for clinical application. The MRI modalities described in this review include structural MRI, functional MRI, diffusion tensor imaging, magnetic resonance spectroscopy, and arterial spin labelling. These techniques allow the detection of presymptomatic diagnostic biomarkers in the brains of cognitively normal elderly people and might also be used to monitor AD disease progression after the onset of clinical symptoms. This review highlights potential biomarkers, merits and demerits of different neuroimaging modalities and their clinical value in MCI and AD patients. Further studies are necessary to explore more biomarkers and overcome the limitations of multiple neuroimaging modalities for inclusion in diagnostic criteria for AD.

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The Key Role of Magnetic Resonance Imaging in the Detection of Neurodegenerative Diseases-Associated Biomarkers: A Review

Cited by 13 publications

References 211 publications

Microstructural integrity of the locus coeruleus and its tracts reflect noradrenergic degeneration in Alzheimer’s and Parkinson’s disease

Microstructural integrity of the locus coeruleus and its tracts reflect noradrenergic degeneration in Alzheimer’s and Parkinson’s disease

Survey on the Most Current Image Processing Methods in Huntington's Disease Diagnostics and Progression Assessment

Neuroimaging modalities in the detection of Alzheimer's disease-associated biomarkers

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