Neural intrinsic connectivity networks associated with risk aversion in old age
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David A. Bennett | Konstantinos Arfanakis | Patricia A. Boyle | Debra A. Fleischman | D. Bennett | K. Arfanakis | D. Fleischman | P. Boyle | S. D. Han | E. Edmonds | Lei Yu | S. Duke Han | Emily C. Edmonds | Lei Yu
[1] 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.
[2] Miles S. Kimball,et al. Imputing Risk Tolerance From Survey Responses , 2007, Journal of the American Statistical Association.
[3] Matthew T. Kaufman,et al. Distributed Neural Representation of Expected Value , 2005, The Journal of Neuroscience.
[4] Timothy E. J. Behrens,et al. Review Frontal Cortex and Reward-guided Learning and Decision-making Figure 1. Frontal Brain Regions in the Macaque Involved in Reward-guided Learning and Decision-making Finer Grained Anatomical Divisions with Frontal Cortical Systems for Reward-guided Behavior , 2022 .
[5] David A. Bennett,et al. The Rush Memory and Aging Project: Study Design and Baseline Characteristics of the Study Cohort , 2005, Neuroepidemiology.
[6] Archana Venkataraman,et al. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. , 2010, Journal of neurophysiology.
[7] A. M. Dale,et al. A hybrid approach to the skull stripping problem in MRI , 2004, NeuroImage.
[8] James K. Kroger,et al. Recruitment of anterior dorsolateral prefrontal cortex in human reasoning: a parametric study of relational complexity. , 2002, Cerebral cortex.
[9] Lisa Aziz-Zadeh,et al. Default Network Deactivations Are Correlated with Psychopathic Personality Traits , 2010, PloS one.
[10] P. Fox,et al. Age-related differences in neural activities during risk taking as revealed by functional MRI , 2007, Social cognitive and affective neuroscience.
[11] Sabrina M. Tom,et al. The Neural Basis of Loss Aversion in Decision-Making Under Risk , 2007, Science.
[12] A. Burns. Clinical diagnosis of Alzheimer's disease , 1991 .
[13] T. Robbins,et al. Risk taking during decision-making in normal volunteers changes with age , 2004, Journal of the International Neuropsychological Society.
[14] David A. Bennett,et al. Decision Rules Guiding the Clinical Diagnosis of Alzheimer’s Disease in Two Community-Based Cohort Studies Compared to Standard Practice in a Clinic-Based Cohort Study , 2006, Neuroepidemiology.
[15] Lisa R. Anderson,et al. Are risk preferences stable? Comparing an experimental measure with a validated survey-based measure , 2008 .
[16] Frederik Barkhof,et al. Resting‐state networks in awake five‐ to eight‐year old children , 2012, Human brain mapping.
[17] Karl J. Friston,et al. Spatial registration and normalization of images , 1995 .
[18] Vinod Menon,et al. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[19] Timothy E. J. Behrens,et al. Optimal decision making and the anterior cingulate cortex , 2006, Nature Neuroscience.
[20] E. Rolls,et al. Abstract reward and punishment representations in the human orbitofrontal cortex , 2001, Nature Neuroscience.
[21] Camelia M. Kuhnen,et al. Variability in Nucleus Accumbens Activity Mediates Age-Related Suboptimal Financial Risk Taking , 2010, The Journal of Neuroscience.
[22] J. Engelmann,et al. Individual differences in risk preference predict neural responses during financial decision-making , 2009, Brain Research.
[23] F. Mauguière,et al. Representation of pain and somatic sensation in the human insula: a study of responses to direct electrical cortical stimulation. , 2002, Cerebral cortex.
[24] M. Greicius,et al. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI , 2004, Proc. Natl. Acad. Sci. USA.
[25] B. Vogt,et al. Connections of the Monkey Cingulate Cortex , 1993 .
[26] Camelia M. Kuhnen,et al. The Neural Basis of Financial Risk Taking , 2005, Neuron.
[27] David A Bennett,et al. Cognitive function is associated with risk aversion in community-based older persons , 2011, BMC geriatrics.
[28] 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.
[29] Corianne Rogalsky,et al. Increased activation in the right insula during risk-taking decision making is related to harm avoidance and neuroticism , 2003, NeuroImage.
[30] Miles S. Kimball,et al. Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Survey , 1995 .
[31] G L Shulman,et al. INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .
[32] D. Schacter,et al. The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.
[33] M. Gabriel,et al. Neurobiology of Cingulate Cortex and Limbic Thalamus , 1993 .
[34] Matthijs Vink,et al. Reduced functional coupling in the default‐mode network during self‐referential processing , 2010, Human brain mapping.
[35] Gary H Glover,et al. Improved combination of spiral‐in/out images for BOLD fMRI , 2004, Magnetic resonance in medicine.
[36] George I. Christopoulos,et al. Neural Correlates of Value, Risk, and Risk Aversion Contributing to Decision Making under Risk , 2009, The Journal of Neuroscience.
[37] M. Folstein,et al. Clinical diagnosis of Alzheimer's disease , 1984, Neurology.
[38] T. Poggio,et al. Object Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex , 2006, Neuron.