Cognitive Deficits Are Associated with Frontal and Temporal Lobe White Matter Lesions in Middle-Aged Adults Living in the Community
暂无分享,去创建一个
Nicolas Cherbuin | Richard Burns | Kaarin J. Anstey | Perminder S. Sachdev | Wei Wen | Helen Christensen | David Bunce | H. Christensen | P. Sachdev | W. Wen | K. Anstey | N. Cherbuin | R. Burns | D. Bunce
[1] J. Schafer,et al. Missing data: our view of the state of the art. , 2002, Psychological methods.
[2] Karl J. Friston,et al. Unified segmentation , 2005, NeuroImage.
[3] S. MacDonald,et al. Inconsistency in serial choice decision and motor reaction times dissociate in younger and older adults , 2004, Brain and Cognition.
[4] F. Bond,et al. Mental health and cognitive function in adults aged 18 to 92 years. , 2008, The journals of gerontology. Series B, Psychological sciences and social sciences.
[5] F. Craik,et al. The handbook of aging and cognition (3rd ed.). , 2008 .
[6] 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.
[7] D. B. Mitchell,et al. The handbook of aging and cognition , 2001 .
[8] Detection. The sixth report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC VI) , 1997 .
[9] Wei Wen,et al. The topography of white matter hyperintensities on brain MRI in healthy 60- to 64-year-old individuals , 2004, NeuroImage.
[10] H. Christensen,et al. White matter hyperintensities and within-person variability in community-dwelling adults aged 60–64 years , 2007, Neuropsychologia.
[11] A. Pfefferbaum,et al. Diffusion tensor imaging and aging , 2006, Neuroscience & Biobehavioral Reviews.
[12] J. Ashburner,et al. Multimodal Image Coregistration and Partitioning—A Unified Framework , 1997, NeuroImage.
[13] Kaarin J Anstey,et al. White matter hyperintensities in the forties: Their prevalence and topography in an epidemiological sample aged 44–48 , 2009, Human brain mapping.
[14] Brenda Milner,et al. Do I know you? Face perception and memory in patients with selective amygdalo-hippocampectomy , 2002, Neuropsychologia.
[15] H. Christensen,et al. Biomarkers, Health, Lifestyle, and Demographic Variables as Correlates of Reaction Time Performance in Early, Middle, and Late Adulthood , 2005, The Quarterly journal of experimental psychology. A, Human experimental psychology.
[16] F. Gunning-Dixon,et al. The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. , 2000, Neuropsychology.
[17] T. Cochrane,et al. Blocks in choice responding as a function of age and physical fitness. , 1993, Psychology and aging.
[18] N. Raz,et al. Differential Aging of the Brain: Patterns, Cognitive Correlates and Modifiers , 2022 .
[19] Y. Stern,et al. Inter- and intraindividual variability in recognition memory: effects of aging and estrogen use. , 2004, Neuropsychology.
[20] D. Perani,et al. The neural correlates of verb and noun processing. A PET study. , 1999, Brain : a journal of neurology.
[21] J. Ashburner,et al. Nonlinear spatial normalization using basis functions , 1999, Human brain mapping.
[22] R. Adolphs,et al. Impaired recognition of emotion in facial expressions following bilateral damage to the human amygdala , 1994, Nature.
[23] Paul A. Viola,et al. Multi-modal volume registration by maximization of mutual information , 1996, Medical Image Anal..
[24] F. Fazekas,et al. Pathologic correlates of incidental MRI white matter signal hyperintensities , 1993, Neurology.
[25] Roberto Cabeza,et al. Cerebral White Matter Integrity Mediates Adult Age Differences in Cognitive Performance , 2009, Journal of Cognitive Neuroscience.
[26] P. Sachdev,et al. Neuropsychological predictors of transition from healthy cognitive aging to mild cognitive impairment: The PATH through life study. , 2010, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.
[27] S. Gaines,et al. Depression, anxiety, and within-person variability in adults aged 18 to 85 years. , 2008, Psychology and aging.
[28] Karen M Rodrigue,et al. Vascular health and longitudinal changes in brain and cognition in middle-aged and older adults. , 2007, Neuropsychology.
[29] R. Weinshilboum,et al. The sixth report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure. , 1997, Archives of internal medicine.
[30] Daniel W. Jones,et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. , 2003, JAMA.
[31] F. Craik,et al. Lapses of Intention and Performance Variability Reveal Age-Related Increases in Fluctuations of Executive Control , 2002, Brain and Cognition.
[32] M. Bellgrove,et al. The functional neuroanatomical correlates of response variability: evidence from a response inhibition task , 2004, Neuropsychologia.
[33] Wei Wen,et al. Extent and Distribution of White Matter Hyperintensities in Stroke Patients: The Sydney Stroke Study , 2004, Stroke.
[34] Faith M. Gunning-Dixon,et al. Aging of cerebral white matter: a review of MRI findings , 2009, International journal of geriatric psychiatry.
[35] Michael A. Hunter,et al. Intraindividual variability, cognition, and aging. , 2007 .
[36] A. Alavi,et al. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. , 1987, AJR. American journal of roentgenology.
[37] D. Delis,et al. The California verbal learning test , 2016 .