Failure to Modulate Attentional Control in Advanced Aging Linked to White Matter Pathology
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Reisa A. Sperling | Randy L. Buckner | Keith A. Johnson | Trey Hedden | Koene R. A. Van Dijk | R. Buckner | R. Sperling | T. Hedden | K. V. Van Dijk | Emily H. Shire | K. Van Dijk | K. van Dijk | Koene R. A. van Dijk
[1] Benjamin J. Shannon,et al. Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory , 2005, The Journal of Neuroscience.
[2] Sandra E. Trehub,et al. Aging and cognitive processes , 1982 .
[3] D. Navon. Forest before trees: The precedence of global features in visual perception , 1977, Cognitive Psychology.
[4] Scott A Langenecker,et al. Frontal recruitment during response inhibition in older adults replicated with fMRI , 2003, NeuroImage.
[5] M. O’Sullivan,et al. Activate your online subscription , 2001, Neurology.
[6] Keith A. Johnson,et al. Disruption of Functional Connectivity in Clinically Normal Older Adults Harboring Amyloid Burden , 2009, The Journal of Neuroscience.
[7] A. Brun,et al. A white matter disorder in dementia of the Alzheimer type: A pathoanatomical study , 1986, Annals of neurology.
[8] R. Reitan. The relation of the trail making test to organic brain damage. , 1955, Journal of consulting psychology.
[9] J. Morris. The Clinical Dementia Rating (CDR) , 1993, Neurology.
[10] W. Klunk,et al. Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B , 2004, Annals of neurology.
[11] Patricia A. Reuter-Lorenz,et al. Age differences in prefontal recruitment during verbal working memory maintenance depend on memory load , 2010, Cortex.
[12] Keith A. Johnson,et al. Spatial relation between microbleeds and amyloid deposits in amyloid angiopathy , 2010, Annals of neurology.
[13] S. Folstein,et al. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.
[14] Jeffrey A. James,et al. Frequent amyloid deposition without significant cognitive impairment among the elderly. , 2008, Archives of neurology.
[15] John C. Morris,et al. Clinical Dementia Rating , 1994, Neurology.
[16] Keith A. Johnson,et al. Imaging of amyloid burden and distribution in cerebral amyloid angiopathy , 2007, Annals of neurology.
[17] P. Reuter-Lorenz,et al. Neurocognitive Aging and the Compensation Hypothesis , 2008 .
[18] R. N. Spreng,et al. Reliable differences in brain activity between young and old adults: A quantitative meta-analysis across multiple cognitive domains , 2010, Neuroscience & Biobehavioral Reviews.
[19] Jeffrey W. Cooney,et al. Top-down suppression deficit underlies working memory impairment in normal aging , 2005, Nature Neuroscience.
[20] M. D’Esposito,et al. The Influence of Working-Memory Demand and Subject Performance on Prefrontal Cortical Activity , 2002, Journal of Cognitive Neuroscience.
[21] H. C. Chui,et al. White matter lesions impair frontal lobe function regardless of their location , 2004, Neurology.
[22] F. Gunning-Dixon,et al. The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. , 2000, Neuropsychology.
[23] Y. Stern,et al. Age effects on load-dependent brain activations in working memory for novel material , 2009, Brain Research.
[24] Susan Kemper,et al. The Effects of Aging and Dual Task Demands on Language Production , 2009, Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition.
[25] J. Morris,et al. Functional deactivations: Change with age and dementia of the Alzheimer type , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[26] Ravi S. Menon,et al. Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[27] Pamela K. Smith,et al. Models of visuospatial and verbal memory across the adult life span. , 2002, Psychology and aging.
[28] V. Leirer,et al. Development and validation of a geriatric depression screening scale: a preliminary report. , 1982, Journal of psychiatric research.
[29] Cindy Lustig,et al. Evidence for frontally mediated controlled processing differences in older adults. , 2006, Cerebral cortex.
[30] Anders M. Dale,et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.
[31] M. Sliwinski,et al. Development and validation of a model for estimating premorbid verbal intelligence in the elderly. , 1991, Journal of clinical and experimental neuropsychology.
[32] John D. E. Gabrieli,et al. Shared and selective neural correlates of inhibition, facilitation, and shifting processes during executive control , 2010, NeuroImage.
[33] Keith A. Johnson,et al. Amyloid-β Associated Cortical Thinning in Clinically Normal Elderly , 2011, Annals of neurology.
[34] Fergus I. M. Craik,et al. Aging and cognitive deficits : The role of attentional resources , 1982 .
[35] S. DeKosky,et al. Kinetic Modeling of Amyloid Binding in Humans using PET Imaging and Pittsburgh Compound-B , 2005, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[36] Stephen M Smith,et al. Fast robust automated brain extraction , 2002, Human brain mapping.
[37] Antonino Vallesi,et al. Overrecruitment in the Aging Brain as a Function of Task Demands: Evidence for a Compensatory View , 2011, Journal of Cognitive Neuroscience.
[38] Takayuki Itoh,et al. Amyloid β1–42 oligomer inhibits myelin sheet formation in vitro , 2012, Neurobiology of Aging.
[39] M Corbetta,et al. Searching for activations that generalize over tasks , 1997, Human brain mapping.
[40] Deepti Putcha,et al. Age and amyloid-related alterations in default network habituation to stimulus repetition , 2012, Neurobiology of Aging.
[41] Torsten Rohlfing,et al. Problem Solving, Working Memory, and Motor Correlates of Association and Commissural Fiber Bundles in Normal Aging: a Quantitative Fiber Tracking Study , 2022 .
[42] Gina N. LaRossa,et al. Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Aβ42 in humans , 2006, Annals of neurology.
[43] Roberto Cabeza,et al. Aging Gracefully: Compensatory Brain Activity in High-Performing Older Adults , 2002, NeuroImage.
[44] Keith A. Johnson,et al. Imaging amyloid deposition in Lewy body diseases , 2008, Neurology.
[45] Jonas Persson,et al. Structure-function correlates of cognitive decline in aging. , 2006, Cerebral cortex.
[46] E. Miller,et al. An integrative theory of prefrontal cortex function. , 2001, Annual review of neuroscience.
[47] Denise C. Park,et al. The adaptive brain: aging and neurocognitive scaffolding. , 2009, Annual review of psychology.
[48] Abraham Z. Snyder,et al. A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume , 2004, NeuroImage.
[49] John X. Morris,et al. Spatial correlation between brain aerobic glycolysis and amyloid-β (Aβ) deposition , 2010, Proceedings of the National Academy of Sciences.
[50] R. Cabeza. Hemispheric asymmetry reduction in older adults: the HAROLD model. , 2002, Psychology and aging.
[51] C. Jack,et al. Alzheimer's Disease Neuroimaging Initiative , 2008 .
[52] W. Klunk,et al. Uncharged thioflavin-T derivatives bind to amyloid-beta protein with high affinity and readily enter the brain. , 2001, Life sciences.
[53] J. Gabrieli,et al. Insights into the ageing mind: a view from cognitive neuroscience , 2004, Nature Reviews Neuroscience.
[54] A. Meyer-Lindenberg,et al. Neurophysiological correlates of age-related changes in working memory capacity , 2006, Neuroscience Letters.
[55] Anthony R. McIntosh,et al. Age-Related Changes in Regional Cerebral Blood Flow during Working Memory for Faces , 1998, NeuroImage.
[56] Terry M. Peters,et al. 3D statistical neuroanatomical models from 305 MRI volumes , 1993, 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference.
[57] D. Harvey,et al. Measures of brain morphology and infarction in the framingham heart study: establishing what is normal , 2005, Neurobiology of Aging.
[58] C. Rowe,et al. Aβ deposits in older non-demented individuals with cognitive decline are indicative of preclinical Alzheimer's disease , 2008, Neuropsychologia.
[59] J. Morris,et al. The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals , 2008, Cerebral cortex.
[60] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.
[61] Paige E. Scalf,et al. The implications of cortical recruitment and brain morphology for individual differences in inhibitory function in aging humans. , 2005, Psychology and aging.
[62] G L Shulman,et al. INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .
[63] Hauke R. Heekeren,et al. Performance level modulates adult age differences in brain activation during spatial working memory , 2009, Proceedings of the National Academy of Sciences.
[64] Stephen M. Smith,et al. A global optimisation method for robust affine registration of brain images , 2001, Medical Image Anal..
[65] James K. Nelson,et al. Selection requirements during verb generation: differential recruitment in older and younger adults , 2004, NeuroImage.
[66] P. Jenkins,et al. Modulation of Cortisol Metabolism during Treatment of Acromegaly Is Independent of Body Composition and Insulin Sensitivity , 2001, Hormone Research in Paediatrics.
[67] J. Logan,et al. Under-Recruitment and Nonselective Recruitment Dissociable Neural Mechanisms Associated with Aging , 2002, Neuron.
[68] David C. Van Essen,et al. Application of Information Technology: An Integrated Software Suite for Surface-based Analyses of Cerebral Cortex , 2001, J. Am. Medical Informatics Assoc..
[69] D G Pelli,et al. The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.
[70] D. Schacter,et al. The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.
[71] T. Salthouse. The processing-speed theory of adult age differences in cognition. , 1996, Psychological review.
[72] D. Gelb,et al. Clinical Dementia Rating , 1994, Neurology.
[73] David J. Schlyer,et al. Graphical Analysis of Reversible Radioligand Binding from Time—Activity Measurements Applied to [N-11C-Methyl]-(−)-Cocaine PET Studies in Human Subjects , 1990, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[74] Evan Fletcher,et al. White Matter Changes Compromise Prefrontal Cortex Function in Healthy Elderly Individuals , 2006, Journal of Cognitive Neuroscience.
[75] D. Head,et al. Amyloid Plaques Disrupt Resting State Default Mode Network Connectivity in Cognitively Normal Elderly , 2010, Biological Psychiatry.
[76] Keith A. Johnson,et al. Amyloid Deposition Is Associated with Impaired Default Network Function in Older Persons without Dementia , 2009, Neuron.
[77] Bart Rypma,et al. Neural and vascular variability and the fMRI-BOLD response in normal aging. , 2010, Magnetic resonance imaging.
[78] Bradley P. Sutton,et al. Span, CRUNCH, and Beyond: Working Memory Capacity and the Aging Brain , 2010, Journal of Cognitive Neuroscience.
[79] D. Marcus,et al. White matter lesions are prevalent but differentially related with cognition in aging and early Alzheimer disease. , 2005, Archives of neurology.
[80] A. Poreh. Rey Auditory Verbal Learning Test , 2010 .
[81] S. Pollmann,et al. Retinotopic Activation in Response to Subjective Contours in Primary Visual Cortex , 2008, Frontiers in human neuroscience.
[82] Howard Aizenstein,et al. Executive control function, brain activation and white matter hyperintensities in older adults , 2010, NeuroImage.
[83] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[84] R. Buckner. Memory and Executive Function in Aging and AD Multiple Factors that Cause Decline and Reserve Factors that Compensate , 2004, Neuron.
[85] R. West,et al. An application of prefrontal cortex function theory to cognitive aging. , 1996, Psychological bulletin.
[86] W. Jagust,et al. Imaging Interactions between Alzheimer's Disease and Cerebrovascular Disease , 2002, Annals of the New York Academy of Sciences.
[87] C. Grady,et al. Comparison of positron emission tomography, cognition, and brain volume in Alzheimer's disease with and without severe abnormalities of white matter. , 1996, Journal of neurology, neurosurgery, and psychiatry.
[88] P. C. Murphy,et al. Cerebral Cortex , 2017, Cerebral Cortex.
[89] C. Jack,et al. Alzheimer's Disease Neuroimaging Initiative , 2008 .
[90] R. Turner,et al. Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[91] August B. Hollingshead,et al. Two Factor Index of Social Position , 1957 .
[92] B. Mazoyer,et al. Cortical networks for working memory and executive functions sustain the conscious resting state in man , 2001, Brain Research Bulletin.
[93] D. Head,et al. Frontal-hippocampal double dissociation between normal aging and Alzheimer's disease. , 2005, Cerebral cortex.
[94] Keith A. Johnson,et al. Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.
[95] B L Miller,et al. Neuropsychological correlates of white-matter lesions in healthy elderly subjects. A threshold effect. , 1992, Archives of neurology.
[96] J. Cerella,et al. Aging, executive control, and attention: a review of meta-analyses , 2002, Neuroscience & Biobehavioral Reviews.
[97] Brian J Bacskai,et al. A lipophilic thioflavin-T derivative for positron emission tomography (PET) imaging of amyloid in brain. , 2002, Bioorganic & medicinal chemistry letters.
[98] Irene E. Nagel,et al. Human Aging Magnifies Genetic Effects on Executive Functioning and Working Memory , 2008, Frontiers in human neuroscience.
[99] J. Duncan,et al. Common regions of the human frontal lobe recruited by diverse cognitive demands , 2000, Trends in Neurosciences.
[100] S. Wakana,et al. Fiber tract-based atlas of human white matter anatomy. , 2004, Radiology.
[101] A. Hofman,et al. Periventricular cerebral white matter lesions predict rate of cognitive decline , 2002, Annals of neurology.
[102] David Badre,et al. Selection, Integration, and Conflict Monitoring Assessing the Nature and Generality of Prefrontal Cognitive Control Mechanisms , 2004, Neuron.
[103] Robert C. Welsh,et al. Aging and the Neural Correlates of Successful Picture Encoding: Frontal Activations Compensate for Decreased Medial-Temporal Activity , 2005, Journal of Cognitive Neuroscience.
[104] Cheryl L Grady,et al. Age-related differences in face processing: a meta-analysis of three functional neuroimaging experiments. , 2002, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.
[105] A. Hofman,et al. Cerebral white matter lesions and cognitive function: The Rotterdam scan study , 2000, Annals of neurology.
[106] D. Tulsky,et al. WAIS-III WMS-III Technical manual , 1977 .
[107] C. Reynolds,et al. A fully automated method for quantifying and localizing white matter hyperintensities on MR images , 2006, Psychiatry Research: Neuroimaging.
[108] Cindee M. Madison,et al. Episodic memory loss is related to hippocampal-mediated beta-amyloid deposition in elderly subjects. , 2009, Brain : a journal of neurology.
[109] J. Haxby,et al. The effect of white matter hyperintensity volume on brain structure, cognitive performance, and cerebral metabolism of glucose in 51 healthy adults , 1995, Neurology.
[110] M. Rugg,et al. The relationship between aging, performance, and the neural correlates of successful memory encoding. , 2009, Cerebral cortex.
[111] S. Langenecker,et al. Differences in the functional neuroanatomy of inhibitory control across the adult life span. , 2002, Psychology and aging.
[112] Archana Venkataraman,et al. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. , 2010, Journal of neurophysiology.
[113] S. DeKosky,et al. Simplified quantification of Pittsburgh Compound B amyloid imaging PET studies: a comparative analysis. , 2005, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[114] M. Rajah,et al. Age-related changes in prefrontal cortex activity are associated with behavioural deficits in both temporal and spatial context memory retrieval in older adults , 2010, Cortex.
[115] Edward E. Smith,et al. Age Differences in the Frontal Lateralization of Verbal and Spatial Working Memory Revealed by PET , 2000, Journal of Cognitive Neuroscience.
[116] L. Bäckman,et al. The role of the striatal dopamine transporter in cognitive aging , 2005, Psychiatry Research: Neuroimaging.
[117] N. Raz,et al. Aging white matter and cognition: Differential effects of regional variations in diffusion properties on memory, executive functions, and speed , 2009, Neuropsychologia.
[118] M. D’Esposito,et al. Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging , 2003, Nature Reviews Neuroscience.
[119] D. Crockett. A comparison of empirically derived groups of aphasic patients on the Neurosensory Center Comprehensive Examination for Aphasia. , 1977, Journal of clinical psychology.
[120] Priti Shah,et al. Aging, Training, and the Brain: A Review and Future Directions , 2009, Neuropsychology Review.