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The compensatory phenomenon of the functional connectome related to pathological biomarkers in individuals with subjective cognitive decline
2020
Translational Neurodegeneration
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Subjective cognitive decline (SCD) is a preclinical stage along the Alzheimer's disease (AD) continuum. ...
The proposed classification method highlights the potential of connectome-based metrics for the identification of the preclinical stage of AD. ...
ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the fol ...
doi:10.1186/s40035-020-00201-6
pmid:32460888
fatcat:o5anjjl4tncxtkurtndzgyht6e
Information-theoretic characterization of blood panel predictors for brain atrophy and cognitive decline in the elderly
2015
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
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It is critical to identify which biomarkers are most predictive of cognitive decline and brain atrophy in the elderly. ...
In 566 older adults from the Alzheimer's Disease Neuroimaging Initiative (ADNI), we used a novel unsupervised machine learning approach to evaluate an extensive list of more than 200 potential brain, blood ...
INTRODUCTION The search for biomarkers to predict cognitive decline and age-related brain atrophy [1] is at the forefront of Alzheimer's disease research. ...
doi:10.1109/isbi.2015.7164035
pmid:26413208
pmcid:PMC4578218
dblp:conf/isbi/MadsenSMJNHGGT15
fatcat:7b3dqmpaknbmxjp24hetqvmpni
Brain enhancement through cognitive training: a new insight from brain connectome
2015
Frontiers in Systems Neuroscience
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Owing to the recent advances in neurotechnology and the progress in understanding of brain cognitive functions, improvements of cognitive performance or acceleration of learning process with brain enhancement ...
Moreover, cognitive training interventions should have effects on brain sub-networks, not on a single brain region, and graph theoretical network metrics quantifying topological architecture of the brain ...
Acknowledgments The authors appreciate the National University of Singapore for supporting the Cognitive Engineering Group at the Singapore Institute for Neurotechnology (SINAPSE) under WBS Number R-719 ...
doi:10.3389/fnsys.2015.00044
pmid:25883555
pmcid:PMC4381643
fatcat:3vp36ydhfbbuni7en7veq6s2oi
The Effects of rs405509 on APOEε4 Non-carriers in Non-demented Aging
2021
Frontiers in Neuroscience
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However, the effect of the T/T allele on brain function in non-demented aging is still unclear.MethodsWe analyzed the effects of the rs405509 T/T allele on cognitive performances using multiple neuropsychological ...
Rs-fMRI analyses demonstrated decreased amplitude of low frequency fluctuation (ALFF) in the right middle frontal gyrus, decreased percent amplitude of fluctuation (PerAF) in the right middle frontal gyrus ...
rs405509 T/T allele of APOE causes an age-related brain functional decline in nondemented elderly people. ...
doi:10.3389/fnins.2021.677823
pmid:34177454
pmcid:PMC8222619
fatcat:axba6mquhfhezaos5z6krmsh7q
The potential role of leukoaraiosis in remodeling the brain network to buffer cognitive decline: a Leukoaraiosis And Disability study from Alzheimer's Disease Neuroimaging Initiative
2021
Quantitative Imaging in Medicine and Surgery
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Leukoaraiosis (LA) is a phenomenon of the brain that is often observed in elderly people. However, little is known about the role of LA in cognitive impairment in neurodegeneration and disease. ...
LA, therefore, representing a possible compensatory mechanism to buffer cognitive decline. ...
Acknowledgments Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health, U01 AG024904) and DOD ADNI (Department ...
doi:10.21037/qims-20-580
pmid:33392021
pmcid:PMC7719947
fatcat:ogv2dzmbunar7ib2gxrkkmjjfi
Age-related decline in white matter tract integrity and cognitive performance: A DTI tractography and structural equation modeling study
2012
Neurobiology of Aging
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Age-related decline in microstructural integrity of certain white matter tracts may explain cognitive decline associated with normal aging. ...
Our findings suggest that decline in the microstructural integrity of white matter fibers can account for cognitive decline in normal aging. ...
Our findings emphasize the relationship between age-related decline in white matter integrity and cognitive function, and verify the functional ramifications of DTI metrics. ...
doi:10.1016/j.neurobiolaging.2010.02.009
pmid:20363050
pmcid:PMC2945445
fatcat:vlscoe7wwrfwdcy23olcv27r5i
Profiling the Research Landscape on Cognitive Aging: A Bibliometric Analysis and Network Visualization
2022
Frontiers in Aging Neuroscience
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Frontiers in Aging Neuroscience is the most prestigious journal in the field of cognitive aging research. ...
ObjectivesThis study aimed to profile the cognitive aging research landscape from 1956 to 2021.MethodsA total of 3,779 documents were retrieved from the Scopus database for the bibliometric analysis and ...
In the analytical (individual-based) studies cluster, the main keywords were grouped into: (i) neuroimaging which includes various modalities; (ii) cognitive trajectories that are related to the major ...
doi:10.3389/fnagi.2022.876159
pmid:35572132
pmcid:PMC9093595
fatcat:psrkm7w6zzh6hgznkeyysar7cu
Impaired Structural Network Properties Caused by White Matter Hyperintensity Related to Cognitive Decline
2020
Frontiers in Neurology
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This study aimed to investigate the topological properties of white matter structural network in WMH-related CI. ...
Conclusions: Brain structural network in WMH-CI is significantly disturbed, and this disturbance is related to the severity of WMH and CI. ...
by White Matter Hyperintensity Related to Cognitive Decline. ...
doi:10.3389/fneur.2020.00250
pmid:32373044
pmcid:PMC7186334
fatcat:7x3wtrvagvgbzdi4rtoyncc5fy
Disrupted topology of the resting state structural connectome in middle-aged APOE ε4 carriers
2018
NeuroImage
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agerelated cognitive decline in middle age, decades before the onset of overt cognitive impairment. ...
The goal of this study was to characterize APOE-related differences in network topology in middle age, as disentangling the early effects of healthy versus pathological aging may aid early detection of ...
cognitive decline. ...
doi:10.1016/j.neuroimage.2018.05.052
pmid:29803958
pmcid:PMC6249680
fatcat:6j4g5tjzo5gejcyyxp7rpxd67u
Alterations in Brain Network Topology and Structural-Functional Connectome Coupling Relate to Cognitive Impairment
2018
Frontiers in Aging Neuroscience
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Our findings highlighted the distinct and progressive changes in brain structural-functional networks at the prodromal stage of neurodegenerative diseases. ...
To this end, we studied the structural networks [diffusion magnetic resonance imaging (MRI)] and functional networks (task-free functional MRI) in CIND (61 mild, 56 moderate) and healthy older adults ( ...
The Informant Questionnaire on cognitive decline in the elderly (IQCODE): a review. Int. ...
doi:10.3389/fnagi.2018.00404
pmid:30618711
pmcid:PMC6300727
fatcat:fo5b27qlbzd6niyhwhlsunfthu
Data-Driven Sequence of Changes to Anatomical Brain Connectivity in Sporadic Alzheimer's Disease
2017
Frontiers in Neurology
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Using data from the Alzheimer's Disease Neuroimaging Initiative dataset, we sequence the progressive decline of anatomical connectivity, as quantified by graph-theory metrics, in the Alzheimer's disease ...
Model-based investigations of transneuronal spreading mechanisms in neurodegenerative diseases relate the pattern of pathology severity to the brain's connectivity matrix, which reveals information about ...
The model suggests that centrality declines first in memory-related parts of the DMN in the temporal and prefrontal lobes: left temporal pole Figure 8 ("EBM4") contains all biomarkers of anatomical ...
doi:10.3389/fneur.2017.00580
pmid:29163343
pmcid:PMC5681907
fatcat:xmt3bhonafcbvjaftpovepxqky
Measuring Cortical Connectivity in Alzheimer's Disease as a Brain Neural Network Pathology: Toward Clinical Applications
2016
Journal of the International Neuropsychological Society
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papers registered in PubMed and other scientific repositories on the use of these techniques in amnesic mild cognitive impairment (MCI) and clinically mild AD dementia patients compared to cognitively ...
be used to predict and monitor the evolution of AD and its relative impact on cognitive domains in pre-clinical, prodromal, and dementia stages of AD. ...
In neuroimaging, graph theoretical metrics have been used to describe multiple network properties of the human brain. ...
doi:10.1017/s1355617715000995
pmid:26888613
fatcat:ugywcnr6grbbvfmme5l6tzuwqi
White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance
2021
NeuroImage: Clinical
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WMHs that appear as hypointense in T1-weighted images (T1w) may also indicate the most severe component of WMHs. ...
To test if location and intensity information can impact cognition, we derived two general linear models using either overall or subdivided volumes. ...
Funding The study was supported by the UK Medical Research Council (MRC) grants "Dementias Platform UK" (MR/L023784/2) and "Predicting MRI abnormalities with longitudinal data of the Whitehall II Substudy ...
doi:10.1016/j.nicl.2021.102616
pmid:33743476
pmcid:PMC7995650
fatcat:hkqak33hrfgktf3a5lyjoxqsvu
White matter hyperintensities classified according to intensity and spatial location reveal specific associations with cognitive performance
[article]
2020
biorxiv/medrxiv
pre-print
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WMHs that appear as hypointense in T1-weighted images (T1w) may also indicate the most severe component of WMHs. ...
To test if location and intensity information can impact cognition, we derived two general linear models using either overall or subdivided volumes. ...
Funding The study was supported by the UK Medical Research Council (MRC) grants "Dementias Platform UK" (MR/L023784/2) and "Predicting MRI abnormalities with longitudinal data of the Whitehall II Substudy ...
doi:10.1101/2020.07.10.20149575
fatcat:yxk5xgqk2vduhmdb4wtt5chnqa
The Road to Personalized Medicine in Alzheimer's Disease: The Use of Artificial Intelligence
2022
Biomedicines
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Since age is the major risk factor for AD, the increase in lifespan not only represents a rise in the prevalence but also adds complexity to the diagnosis. ...
In this review, we present an overview of relevant topics regarding the application of AI in AD, detailing the algorithms and their applications in the fields of drug discovery, and biomarkers. ...
Acknowledgments: The authors want to acknowledge and thank the support given by the multidisciplinary teams that are part of the affiliated institutions. ...
doi:10.3390/biomedicines10020315
pmid:35203524
pmcid:PMC8869403
fatcat:axujetc3fbfglezmd4nbkwh2yu
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