Resting-State Connectivity of the Left Frontal Cortex to the Default Mode and Dorsal Attention Network Supports Reserve in Mild Cognitive Impairment
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Miguel Á Araque-Caballero | Alexander N. W. Taylor | M. Ewers | C. Sorg | A. Drzezga | M. Duering | K. Bürger | N. Franzmeier | T. Grimmer | J. Göttler | D. Janowitz | C. Catak | L. Simon-Vermot | C. Müller | A. N. Taylor | Claudia Müller | Miguel Á. Araque-Caballero
[1] Alexander N. W. Taylor,et al. Left Frontal Hub Connectivity during Memory Performance Supports Reserve in Aging and Mild Cognitive Impairment , 2017, Journal of Alzheimer's disease : JAD.
[2] Kevin Murphy,et al. Towards a consensus regarding global signal regression for resting state functional connectivity MRI , 2017, NeuroImage.
[3] Michael Weiner,et al. Left frontal cortex connectivity underlies cognitive reserve in prodromal Alzheimer disease , 2017, Neurology.
[4] Y. Stern,et al. Cognitive reserve moderates the association between functional network anti-correlations and memory in MCI , 2017, Neurobiology of Aging.
[5] Richard F. Betzel,et al. Human Connectomics across the Life Span , 2017, Trends in Cognitive Sciences.
[6] R. Knight,et al. Oscillatory Dynamics of Prefrontal Cognitive Control , 2016, Trends in Cognitive Sciences.
[7] M. Ewers,et al. Effects of Age, APOE õ4, Cognitive Reserve and Hippocampal Volume onCognitive Intervention Outcome in Amnestic Mild Cognitive Impairment , 2016 .
[8] Timothy Edward John Behrens,et al. Task-free MRI predicts individual differences in brain activity during task performance , 2016, Science.
[9] Thomas A. W. Bolton,et al. Neuroimage: Clinical Prediction of Long-term Memory Scores in Mci Based on Resting-state Fmri a R T I C L E I N F O , 2022 .
[10] Alzheimer's Disease Neuroimaging Initiative,et al. Resting-state global functional connectivity as a biomarker of cognitive reserve in mild cognitive impairment , 2016, Brain Imaging and Behavior.
[11] C. Sorg,et al. Disrupted Intrinsic Networks Link Amyloid-β Pathology and Impaired Cognition in Prodromal Alzheimer's Disease. , 2015, Cerebral cortex.
[12] N. Maurits,et al. A Brain-Wide Study of Age-Related Changes in Functional Connectivity. , 2015, Cerebral cortex.
[13] M. Marcolin,et al. Transcranial Magnetic Stimulation to Address Mild Cognitive Impairment in the Elderly: A Randomized Controlled Study , 2015, Behavioural neurology.
[14] Hongkeun Kim,et al. Encoding and retrieval along the long axis of the hippocampus and their relationships with dorsal attention and default mode networks: The HERNET model , 2015, Hippocampus.
[15] Gang Sun,et al. Functional degeneration in dorsal and ventral attention systems in amnestic mild cognitive impairment and Alzheimer’s disease: An fMRI study , 2015, Neuroscience Letters.
[16] Joaquín Goñi,et al. Changes in structural and functional connectivity among resting-state networks across the human lifespan , 2014, NeuroImage.
[17] X. Zuo,et al. Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: A systems neuroscience perspective , 2014, Neuroscience & Biobehavioral Reviews.
[18] Andreas U. Monsch,et al. The Extension of the German CERAD Neuropsychological Assessment Battery with Tests Assessing Subcortical, Executive and Frontal Functions Improves Accuracy in Dementia Diagnosis , 2014, Dementia and Geriatric Cognitive Disorders Extra.
[19] R. Wise,et al. Frontoparietal cognitive control of verbal memory recall in Alzheimer's disease , 2014, Annals of neurology.
[20] Jonathan D. Power,et al. Intrinsic and Task-Evoked Network Architectures of the Human Brain , 2014, Neuron.
[21] L. Fratiglioni,et al. Mild cognitive impairment: a concept in evolution , 2014, Journal of internal medicine.
[22] John D. E. Gabrieli,et al. Selective Development of Anticorrelated Networks in the Intrinsic Functional Organization of the Human Brain , 2014, Journal of Cognitive Neuroscience.
[23] Timothy O. Laumann,et al. Methods to detect, characterize, and remove motion artifact in resting state fMRI , 2014, NeuroImage.
[24] M. Albert,et al. Relationship of cognitive reserve and cerebrospinal fluid biomarkers to the emergence of clinical symptoms in preclinical Alzheimer's disease , 2013, Neurobiology of Aging.
[25] Yufeng Zang,et al. Functional brain hubs and their test–retest reliability: A multiband resting-state functional MRI study , 2013, NeuroImage.
[26] C. Sorg,et al. A biased competition account of attention and memory in Alzheimer's disease , 2013, Philosophical Transactions of the Royal Society B: Biological Sciences.
[27] Jonathan D. Power,et al. Multi-task connectivity reveals flexible hubs for adaptive task control , 2013, Nature Neuroscience.
[28] Karen L. Siedlecki,et al. Quantifying Cognitive Reserve in Older Adults by Decomposing Episodic Memory Variance: Replication and Extension , 2013, Journal of the International Neuropsychological Society.
[29] L. Yao,et al. Top-Down Regulation of Default Mode Activity in Spatial Visual Attention , 2013, The Journal of Neuroscience.
[30] Yaakov Stern,et al. Cognitive reserve associated with FDG-PET in preclinical Alzheimer disease , 2013, Neurology.
[31] Daniel L. Schacter,et al. Intrinsic Architecture Underlying the Relations among the Default, Dorsal Attention, and Frontoparietal Control Networks of the Human Brain , 2013, Journal of Cognitive Neuroscience.
[32] Y. Stern. Cognitive reserve in ageing and Alzheimer's disease , 2012, The Lancet Neurology.
[33] Michael W. Cole,et al. Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence , 2012, The Journal of Neuroscience.
[34] Xiangfei Meng,et al. Education and Dementia in the Context of the Cognitive Reserve Hypothesis: A Systematic Review with Meta-Analyses and Qualitative Analyses , 2012, PloS one.
[35] Mingzhou Ding,et al. Exploring resting-state functional connectivity with total interdependence , 2012, NeuroImage.
[36] Wei Gao,et al. Frontal parietal control network regulates the anti‐correlated default and dorsal attention networks , 2012, Human brain mapping.
[37] R. Briggs,et al. Donepezil effects on hippocampal and prefrontal functional connectivity in Alzheimer's disease: preliminary report. , 2012, Journal of Alzheimer's disease : JAD.
[38] Xi-Nian Zuo,et al. REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing , 2011, PloS one.
[39] Francis Eustache,et al. The Default Mode Network in Healthy Aging and Alzheimer's Disease , 2011, International journal of Alzheimer's disease.
[40] Marisa O. Hollinshead,et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.
[41] Russell A. Poldrack,et al. Large-scale automated synthesis of human functional neuroimaging data , 2011, Nature Methods.
[42] Nick C Fox,et al. The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.
[43] J. Morris,et al. The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.
[44] Linda Zhang,et al. Efficacy of voxel-based morphometry with DARTEL and standard registration as imaging biomarkers in Alzheimer's disease patients and cognitively normal older adults at 3.0 Tesla MR imaging. , 2011, Journal of Alzheimer's disease : JAD.
[45] Daniel L. Schacter,et al. Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition , 2010, NeuroImage.
[46] D. Harvey,et al. Measuring cognitive reserve based on the decomposition of episodic memory variance. , 2010, Brain : a journal of neurology.
[47] R. Nathan Spreng,et al. Patterns of Brain Activity Supporting Autobiographical Memory, Prospection, and Theory of Mind, and Their Relationship to the Default Mode Network , 2010, Journal of Cognitive Neuroscience.
[48] J. Duncan. The multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour , 2010, Trends in Cognitive Sciences.
[49] Roberto Cabeza,et al. Overlapping brain activity between episodic memory encoding and retrieval: Roles of the task-positive and task-negative networks , 2010, NeuroImage.
[50] Kevin Murphy,et al. The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? , 2009, NeuroImage.
[51] D. Schacter,et al. The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.
[52] V. Calhoun,et al. Selective changes of resting-state networks in individuals at risk for Alzheimer's disease , 2007, Proceedings of the National Academy of Sciences.
[53] John Ashburner,et al. A fast diffeomorphic image registration algorithm , 2007, NeuroImage.
[54] P. Sachdev,et al. Brain reserve and dementia: a systematic review , 2005, Psychological Medicine.
[55] Karl J. Friston,et al. Unified segmentation , 2005, NeuroImage.
[56] R. Petersen. Mild cognitive impairment as a diagnostic entity , 2004, Journal of internal medicine.
[57] Ron Kikinis,et al. Statistical validation of image segmentation quality based on a spatial overlap index. , 2004, Academic radiology.
[58] N. Tzourio-Mazoyer,et al. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.
[59] Karl J. Friston,et al. A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.
[60] C. Jack,et al. Rates of hippocampal atrophy correlate with change in clinical status in aging and AD , 2000, Neurology.
[61] C. Jack,et al. Memory and MRI-based hippocampal volumes in aging and AD , 2000, Neurology.