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The compensatory phenomenon of the functional connectome related to pathological biomarkers in individuals with subjective cognitive decline

Haifeng Chen, for the Alzheimer's Disease Neuroimaging Initiative, Xiaoning Sheng, Caimei Luo, Ruomeng Qin, Qing Ye, Hui Zhao, Yun Xu, Feng Bai
2020 Translational Neurodegeneration  
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

Sarah K. Madsen, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xue Hua, Boris A. Gutman, Aram Galstyan, Paul M. Thompson
2015 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)  
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

Fumihiko Taya, Yu Sun, Fabio Babiloni, Nitish Thakor, Anastasios Bezerianos
2015 Frontiers in Systems Neuroscience  
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

Dongpeng Wu, Han Zhao, Huali Gu, Bin Han, Qingqing Wang, Xu Man, Renliang Zhao, Xuejun Liu, Jinping Sun
2021 Frontiers in Neuroscience  
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

Wei Chen, Hai Lin, Minrui Lyu, Victoria J. Wang, Xiang Li, Shixing Bao, Guoping Sun, Jun Xia, Peijun Wang, Alzheimer's Disease Neuroimaging Initiative
2021 Quantitative Imaging in Medicine and Surgery  
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

Aristotle N. Voineskos, Tarek K. Rajji, Nancy J. Lobaugh, Dielle Miranda, Martha E. Shenton, James L. Kennedy, Bruce G. Pollock, Benoit H. Mulsant
2012 Neurobiology of Aging  
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

Zahiruddin Othman, Ahmad Shahril Abdul Halim, Khairunnuur Fairuz Azman, Asma Hayati Ahmad, Rahimah Zakaria, Kuttulebbai Nainamohamed Salam Sirajudeen, Adi Wijaya, Aidi Ahmi
2022 Frontiers in Aging Neuroscience  
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

Dan Yang, Lili Huang, Caimei Luo, Mengchun Li, Ruomeng Qin, Junyi Ma, Pengfei Shao, Hengheng Xu, Bing Zhang, Yun Xu, Meijuan Zhang
2020 Frontiers in Neurology  
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

L.E. Korthauer, L. Zhan, O. Ajilore, A. Leow, I. Driscoll
2018 NeuroImage  
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

Juan Wang, Reza Khosrowabadi, Kwun Kei Ng, Zhaoping Hong, Joanna Su Xian Chong, Yijun Wang, Chun-Yin Chen, Saima Hilal, Narayanaswamy Venketasubramanian, Tien Yin Wong, Christopher Li-Hsian Chen, Mohammad Kamran Ikram (+1 others)
2018 Frontiers in Aging Neuroscience  
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

Neil P. Oxtoby, Sara Garbarino, Nicholas C. Firth, Jason D. Warren, Jonathan M. Schott, Daniel C. Alexander
2017 Frontiers in Neurology  
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

Stefan Teipel, Michel J. Grothe, Juan Zhou, Jorge Sepulcre, Martin Dyrba, Christian Sorg, Claudio Babiloni
2016 Journal of the International Neuropsychological Society  
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

Luca Melazzini, Clare E Mackay, Valentina Bordin, Sana Suri, Eniko Zsoldos, Nicola Filippini, Abda Mahmood, Vaanathi Sundaresan, Marina Codari, Eugene Duff, Archana Singh-Manoux, Mika Kivimäki (+4 others)
2021 NeuroImage: Clinical  
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]

Luca Melazzini, Clare E Mackay, Valentina Bordin, Sana Suri, Eniko Zsoldos, Nicola Filippini, Abda Mahmood, Vaanathi Sundaresan, Marina Codari, Eugene Duff, Archana Singh-Manoux, Mika Kivimaki (+4 others)
2020 biorxiv/medrxiv   pre-print
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

Anuschka Silva-Spínola, Inês Baldeiras, Joel P. Arrais, Isabel Santana
2022 Biomedicines  
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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