Diffusion tensor imaging; Functional MRI; Magnetic resonance imaging; Magnetic resonance spectroscopy; Positron emission tomography; Voxel-based morphometry; Diffusion Tensor Imaging; Humans; Magnetic Resonance Imaging; Neuroimaging; Alzheimer Disease/diagnostic imaging; Cognitive Dysfunction/diagnostic imaging; Alzheimer Disease; Cognitive Dysfunction; Radiology, Nuclear Medicine and Imaging; Neurology (clinical)
Abstract :
[en] Alzheimer's disease (AD) is a heterogeneous progressive neurocognitive disorder. Although different neuroimaging modalities have been used for the identification of early diagnostic and prognostic factors of AD, there is no consolidated view of the findings from the literature. Here, we aim to provide a comprehensive account of different neural correlates of cognitive dysfunction via magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI) (resting-state and task-related), positron emission tomography (PET) and magnetic resonance spectroscopy (MRS) modalities across the cognitive groups i.e., normal cognition, mild cognitive impairment (MCI), and AD. A total of 46 meta-analyses met the inclusion criteria, including relevance to MCI, and/or AD along with neuroimaging modality used with quantitative and/or functional data. Volumetric MRI identified early anatomical changes involving transentorhinal cortex, Brodmann area 28, followed by the hippocampus, which differentiated early AD from healthy subjects. A consistent pattern of disruption in the bilateral precuneus along with the medial temporal lobe and limbic system was observed in fMRI, while DTI substantiated the observed atrophic alterations in the corpus callosum among MCI and AD cases. Default mode network hypoconnectivity in bilateral precuneus (PCu)/posterior cingulate cortices (PCC) and hypometabolism/hypoperfusion in inferior parietal lobules and left PCC/PCu was evident. Molecular imaging revealed variable metabolite concentrations in PCC. In conclusion, the use of different neuroimaging modalities together may lead to identification of an early diagnostic and/or prognostic biomarker for AD.
Precision for document type :
Review article
Disciplines :
Neurology
Author, co-author :
Talwar, Puneet ✱; Université de Liège - ULiège > Département des sciences biomédicales et précliniques ; Department of Neurology, Institute of Human Behaviour and Allied Sciences (IHBAS), 110095, Dilshad Garden, Delhi, India. talwar.puneet@gmail.com
Kushwaha, Suman ✱; Department of Neurology, Institute of Human Behaviour and Allied Sciences (IHBAS), 110095, Dilshad Garden, Delhi, India. sumankushwaha@gmail.com
Chaturvedi, Monali; Department of Neuroradiology, Institute of Human Behaviour and Allied Sciences (IHBAS), 110095, Dilshad Garden, Delhi, India
Mahajan, Vidur; Centre for Advanced Research in Imaging, Neuroscience and Genomics (CARING), Mahajan Imaging, New Delhi, India
✱ These authors have contributed equally to this work.
Language :
English
Title :
Systematic Review of Different Neuroimaging Correlates in Mild Cognitive Impairment and Alzheimer's Disease.
Publication date :
December 2021
Journal title :
Clinical Neuroradiology
ISSN :
1869-1439
eISSN :
1869-1447
Publisher :
Springer Science and Business Media Deutschland GmbH, Germany
We thank the Director, Nimesh G Desai, Institute of Human Behaviour and Allied Sciences (IHBAS), for motivation and unconditional support. PT acknowledges DST, Government of India for providing fellowship (CSRI-PDF). We thank the anonymous reviewers for their helpful suggestions for improving the manuscript.We thank the Director, Nimesh?G Desai, Institute of Human Behaviour and Allied Sciences (IHBAS), for motivation and unconditional support. PT acknowledges DST, Government of India for providing fellowship (CSRI-PDF). We thank the anonymous reviewers for their helpful suggestions for improving the manuscript. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
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