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Neuroimaging markers for the prediction and early diagnosis of Alzheimer's disease dementia
2011
Trends in Neurosciences
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Recent studies that have identified AD-like structural and functional brain changes in elderly people who are cognitively within the normal range or who have mild cognitive impairment (MCI) are discussed ...
In this Review, we discuss various neuroimaging measures that are proving to have potential value as biomarkers of AD pathology for the detection and prediction of AD before the onset of dementia. ...
award 08/IN.1/ B1846 (to HH), the "Landesoffensive zur Entwicklung wissenschaftlich-ökonomischer Exzellenz" (LOEWE) ...
doi:10.1016/j.tins.2011.05.005
pmid:21696834
pmcid:PMC3275347
fatcat:6dk62eqplrhlvckqy2c7cwcqdm
Exercise-Related Changes of Networks in Aging and Mild Cognitive Impairment Brain
2016
Frontiers in Aging Neuroscience
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Aging and mild cognitive impairment (MCI) are accompanied by decline of cognitive functions. ...
Small decreases in the conversion rate of MCI to AD might significantly reduce the prevalence of dementia. Thus, it is important to intervene at the preclinical stage. ...
This work was supported by grants from the National Natural Science Foundation of China (91332107, 30872729, 30971031, 81400888) and The Training and Financial Program for Young Doctors of Shanghai ( ...
doi:10.3389/fnagi.2016.00047
pmid:27014055
pmcid:PMC4779936
fatcat:ghqcar5pzrc6fh4gefvsyteui4
Functional network disruption in the degenerative dementias
2011
Lancet Neurology
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These network abnormalities are somewhat specifi c to the clinical syndromes and, in Alzheimer's disease and frontotemporal dementia, network disruption tracks the pattern of pathological changes. ...
A better understanding of network disruption in the neurodegenerative dementias might help bridge the gap between molecular changes, pathological changes, and symptoms. ...
", "mild cognitive impairment", "Parkinson", "Lewy bodies dementia", "stroke", and "tumour" from 1986 until June, 2011. ...
doi:10.1016/s1474-4422(11)70158-2
pmid:21778116
pmcid:PMC3219874
fatcat:filrmsouujckzp3evyfj7l7ngi
Predicting the transition from normal aging to Alzheimer's disease: A statistical mechanistic evaluation of FDG-PET data
2016
NeuroImage
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This paved the way to the quantitative assessment of the functional networking status in individual patients. ...
We demonstrated for the first time the reliability of a single global index of order in discriminating groups of cognitively impaired patients with different clinical outcome. ...
Acknowledgements The authors wish to thank Professor Stone-Elander for the help in English editing. ...
doi:10.1016/j.neuroimage.2016.07.043
pmid:27453158
fatcat:qvqf5gzlqfei5iiussemus4wl4
Functional neuroimaging in subjective cognitive decline: current status and a research path forward
2020
Alzheimer's Research & Therapy
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Although healthy older adults with subjective cognitive decline may function normally, perceived worsening may indicate incipient dementia and predict future deterioration. ...
Thus, disorder-agnostic brain measures could be useful to track the trajectory of decline, and functional neuroimaging in particular may be sensitive to detect incipient dementia and have the ability to ...
Salience network gray matter atrophy occurs at a greater rate in cognitively unimpaired aging than the rest of the brain, and atrophy is even greater in mild cognitive impairment and dementia, and this ...
doi:10.1186/s13195-020-00591-9
pmid:32151277
fatcat:mefmeuwjojf2nkb3yuo2yisoqi
Disrupted Network Topology in Patients with Stable and Progressive Mild Cognitive Impairment and Alzheimer's Disease
2016
Cerebral Cortex
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However, the alterations that occur in network topology during the prodromal stages of AD, particularly in patients with stable mild cognitive impairment (MCI) and those that show a slow or faster progression ...
to dementia, are still poorly understood. ...
Funding This study was supported by InnoMed, (Innovative Medicines in Europe) an Integrated Project funded by the European Union of the Sixth Framework program priority FP6-2004-LIFESCIHEALTH-5, Life Sciences ...
doi:10.1093/cercor/bhw128
pmid:27178195
pmcid:PMC4961019
fatcat:ml7psqk7sbfehjnrhqjskswaki
Functional Neural Correlates of Anosognosia in Mild Cognitive Impairment and Alzheimer's Disease: a Systematic Review
2019
Neuropsychology Review
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of anosognosia in mild cognitive impairment (MCI) and Alzheimer's disease (AD). ...
Reduced within and between network connectivity is observed in the default mode network regions of AD patients with anosognosia compared to AD patients without anosognosia and controls. ...
This research did not receive any specific grant from funding agencies in the commercial, or not-for-profit sectors. ...
doi:10.1007/s11065-019-09410-x
pmid:31161466
pmcid:PMC6560017
fatcat:owstbdvjnjbcxo5ojsf4mpdndq
The Importance of the Validation of M/EEG With Current Biomarkers in Alzheimer's Disease
2019
Frontiers in Human Neuroscience
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However, in spite of its added value they are not part of the standard of care in clinical practice in dementia. ...
In this paper we review what these neurophysiological techniques can add to the early diagnosis of AD, whether results in both modalities are related to each other or not, as well as the need of its validation ...
Predicting progression from normal cognition to mild cognitive impairment for individuals at 5 years. ...
doi:10.3389/fnhum.2019.00017
pmid:30792632
pmcid:PMC6374629
fatcat:p5czybkozbf3nortlse5yhaije
Brain Connectivity and Graph Theory Analysis in Alzheimer's and Parkinson's Disease: The Contribution of Electrophysiological Techniques
2022
Brain Sciences
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In recent years, applications of the network science to electrophysiological data have increased as electrophysiological techniques are not only relatively low cost, largely available on the territory ...
The aim of the present review is to provide an overview of the most recent applications of the graph theory to electrophysiological data in the two by far most frequent neurodegenerative disorders, Alzheimer's ...
Abbreviations: EEG: electroen- cephalography; MEG: magnetoencephalography; PL: path length; C: clustering coefficient; SW: small-world index; PD-MCI: Parkinson disease with mild cognitive impairments. ...
doi:10.3390/brainsci12030402
pmid:35326358
pmcid:PMC8946843
fatcat:dxh4dqkrijei3hjgsqaqpywi6a
Longitudinal change in hippocampal and dorsal anterior insulae functional connectivity in subjective cognitive decline
2021
Alzheimer's Research & Therapy
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in connectivity between salience and default mode network components. ...
Results We found that individuals who reported a greater degree of subjective cognitive decline showed a larger subsequent decrease in connectivity between components of the default mode network and increase ...
Acknowledgements The authors would like to thank Dr. Ana Daugherty for guidance on applying model constraints to structural equation models. ...
doi:10.1186/s13195-021-00847-y
pmid:34059109
fatcat:5puu5vj4izfs7lgpa7cwp2kdxy
Progressive Disintegration of Brain Networking from Normal Aging to Alzheimer Disease: Analysis of Independent Components of 18 F-FDG PET Data
2017
Journal of Nuclear Medicine
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Selective breakdown of brain networks during progression from normal aging to Alzheimer disease dementia (AD) has also been observed. ...
Methods: We implemented independentcomponent analysis of 18 F-FDG PET data in 5 groups of subjects with cognitive states ranging from normal aging to AD-including mild cognitive impairment (MCI) not converting ...
Application of the latter technique to datasets including subjects ranging from normally aging individuals to patients with mild cognitive impairment (MCI) or Alzheimer disease dementia (AD) has revealed ...
doi:10.2967/jnumed.116.184309
pmid:28280223
fatcat:nsevuug7hjhitcmibmdeqvqspm
The Altered Reconfiguration Pattern of Brain Modular Architecture Regulates Cognitive Function in Cerebral Small Vessel Disease
2019
Frontiers in Neurology
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Results: We identified four modules corresponding to the default mode network (DMN), executive control network (ECN), sensorimotor network and visual network. ...
Methods: We recruited 25 cases of SVD without cognitive impairment (SVD-NCI) and 24 cases of SVD with mild cognitive impairment (SVD-MCI). ...
HC, healthy control; SVD, small vessel disease; NCI, non-cognitive impairment; MCI, mild cognitive impairment; DMN, default mode network; ECN, executive control network; SMN, sensorimotor network; VN, ...
doi:10.3389/fneur.2019.00324
pmid:31024423
pmcid:PMC6461194
fatcat:z2d4fu6wvvce5ov6lrt7tzicpm
Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease
2020
Molecular Neurodegeneration
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with patients with mild cognitive impairment (MCI) and dementia due to AD. ...
In this review, we summarize the main imaging features and key findings regarding SCD related to AD, from local and regional data to connectivity-based imaging measures, with the aim of delineating a multimodal ...
XW and WH contributed equally to search literature, tabulate the results and write the manuscript. LS and YX revised and provided critical input to the manuscript. ...
doi:10.1186/s13024-020-00395-3
pmid:32962744
pmcid:PMC7507636
fatcat:g5pbhodeebbjdbafie2zjhxc3q
The Default Mode Network may be the Key Substrate of Depressive Symptom-Related Cognitive Changes
2013
Journal of Alzheimer's Disease
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DEPCOG is strongly associated with the cognitive correlates of functional status (δ), which we previously associated with elements of the Default Mode Network (DMN). ...
These findings suggest that the cognitive correlates of depressive symptoms, even in the absence of a major depressive episode, may contribute to dementia in their own right, and could be responsible for ...
The sponsor had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ...
doi:10.3233/jad-121639
pmid:23254633
pmcid:PMC3640836
fatcat:4boklhehnrfcfiibwj4aloz6hu
Neurophysiological Hallmarks of Neurodegenerative Cognitive Decline: The Study of Brain Connectivity as A Biomarker of Early Dementia
2020
Journal of Personalized Medicine
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Mild cognitive impairment (MCI) is an intermediate stage between dementia and normal brain aging. ...
It is therefore extremely important to have biomarkers able to identify—in association with neuropsychological tests—prodromal-to-dementia MCI subjects as early as possible. ...
); frontal network (FN); default mode network (DMN). ...
doi:10.3390/jpm10020034
pmid:32365890
pmcid:PMC7354555
fatcat:srfn4n6ohnhovcxql26exo7vly
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