Seven tesla magnetic resonance imaging (7T MRI) is known to offer a superior spatial resolution and a signal-to-noise ratio relative to any other non-invasive imaging technique and provides the possibility for neuroimaging researchers to observe disease-related structural changes, which were previously only apparent on post-mortem tissue analyses. Alzheimer's disease is a natural and widely used subject for this technology since the 7T MRI allows for the anticipation of disease progression, the evaluation of secondary prevention measures thought to modify the disease trajectory, and the identification of surrogate markers for treatment outcome. In this editorial, we discuss the various neuroimaging biomarkers for Alzheimer's disease that have been studied using 7T MRI, which include morphological alterations, molecular characterization of cerebral T2*-weighted hypointensities, the evaluation of cerebral microbleeds and microinfarcts, biochemical changes studied with MR spectroscopy, as well as some other approaches. Finally, we discuss the limitations of the 7T MRI regarding imaging Alzheimer's disease and we provide our outlook for the future.
Citation: Arosh S. Perera Molligoda Arachchige, Anton Kristoffer Garner. Seven Tesla MRI in Alzheimer's disease research: State of the art and future directions: A narrative review[J]. AIMS Neuroscience, 2023, 10(4): 401-422. doi: 10.3934/Neuroscience.2023030
Seven tesla magnetic resonance imaging (7T MRI) is known to offer a superior spatial resolution and a signal-to-noise ratio relative to any other non-invasive imaging technique and provides the possibility for neuroimaging researchers to observe disease-related structural changes, which were previously only apparent on post-mortem tissue analyses. Alzheimer's disease is a natural and widely used subject for this technology since the 7T MRI allows for the anticipation of disease progression, the evaluation of secondary prevention measures thought to modify the disease trajectory, and the identification of surrogate markers for treatment outcome. In this editorial, we discuss the various neuroimaging biomarkers for Alzheimer's disease that have been studied using 7T MRI, which include morphological alterations, molecular characterization of cerebral T2*-weighted hypointensities, the evaluation of cerebral microbleeds and microinfarcts, biochemical changes studied with MR spectroscopy, as well as some other approaches. Finally, we discuss the limitations of the 7T MRI regarding imaging Alzheimer's disease and we provide our outlook for the future.
beta-amyloid
Alzheimer's disease
Arterial Spin Labelling
blood oxygenation level-dependent
Cornus Ammonis
stratum radiatum and lacunosum-moleculare of the Cornu Ammonis' field 1
cerebral blood flow
chemical exchange saturation transfer
cerebral microinfarcts
contrast-to-noise ratio
cerebrospinal fluid
diffusion kurtosis imaging
diffusion tensor imaging
electroencephalography
fluid attenuated inversion recovery
functional MRI
glutamine
glutamate
Chemical Exchange Saturation Transfer of glutamate
γ-Aminobutyric acid
gradient recalled echo
locus coeruleus
mild cognitive impairment
myo-inositol
magnetization transfer
MR Spectroscopy
Positron Emission Tomography
perivascular spaces
Pittsburgh compound B
radiofrequency
signal-to-noise ratio
susceptibility-weighted imaging
turbo spin echo
ultra-high field
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Figures(6)
Arosh S. Perera Molligoda Arachchige, Anton Kristoffer Garner. Seven Tesla MRI in Alzheimer's disease research: State of the art and future directions: A narrative review[J]. AIMS Neuroscience, 2023, 10(4): 401-422. doi: 10.3934/Neuroscience.2023030
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