A plateau in pre-Alzheimer memory decline

Objective: To compare logistic and bilogistic models to describe the pattern of cognitive decline in the preclinical phase of Alzheimer disease (AD). Methods: We conducted mixed effects modeling of Mayo Cognitive Factors Scores to determine the longitudinal pattern of cognitive decline in the period 10 years prior to and 5 years following a clinical diagnosis of AD. Our analysis included 199 people that eventually received a diagnosis of clinically probable AD. Participants had at least two neuropsychological evaluations including one before the evaluation at which they received the AD diagnosis. Results: A bilogistic model, including terms for a plateau in the course of cognitive decline, better fit longitudinal memory scores than a simple logistic model. On average the plateau began about 4 years prior to the clinical diagnosis of AD and ended with a decline that probably contributed to the clinical diagnosis of AD. A similar plateau was not evident in four other cognitive domains. Conclusions: The current findings may support proposed compensatory hypotheses involving redundant memory systems, up-regulation of neurotransmitters, or recruitment of other neural networks.

[1]  E. Tangalos,et al.  Alzheimer's Disease Patients' Cognitive Status and Course Years Prior to Symptom Recognition , 2007, Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition.

[2]  M. Erb,et al.  Mild cognitive impairment (MCI) and actual retrieval performance affect cerebral activation in the elderly , 2007, Neurobiology of Aging.

[3]  Vince D. Calhoun,et al.  Alterations in Memory Networks in Mild Cognitive Impairment and Alzheimer's Disease: An Independent Component Analysis , 2006, The Journal of Neuroscience.

[4]  E. Twamley,et al.  Neuropsychological and neuroimaging changes in preclinical Alzheimer's disease , 2006, Journal of the International Neuropsychological Society.

[5]  Thanh-Thu T. Tran,et al.  Mild cognitive impairment: evaluation with 4-T functional MR imaging. , 2006, Radiology.

[6]  R. Petersen,et al.  Cognitive measures predict pathologic Alzheimer disease. , 2006, Archives of neurology.

[7]  E. Tangalos,et al.  Neuropathologic features of amnestic mild cognitive impairment. , 2006, Archives of neurology.

[8]  Sterling C. Johnson,et al.  Task-dependent posterior cingulate activation in mild cognitive impairment , 2006, NeuroImage.

[9]  S. Scheff,et al.  Alzheimer's disease-related alterations in synaptic density: neocortex and hippocampus. , 2006, Journal of Alzheimer's disease : JAD.

[10]  A. Nieoullon,et al.  Neuroprotection and Neurodegenerative Diseases: From Biology to Clinical Practice , 2005, Alzheimer Disease and Associated Disorders.

[11]  M. Albert,et al.  Increased hippocampal activation in mild cognitive impairment compared to normal aging and AD , 2005, Neurology.

[12]  Cornelis J. Stam,et al.  Delayed rather than decreased BOLD response as a marker for early Alzheimer's disease , 2005, NeuroImage.

[13]  D. Bennett,et al.  Reduction of choline acetyltransferase activity in primary visual cortex in mild to moderate Alzheimer's disease. , 2005, Archives of neurology.

[14]  Richard J. Caselli,et al.  Hippocampal adaptation to face repetition in healthy elderly and mild cognitive impairment , 2004, Neuropsychologia.

[15]  R. Petersen Mild cognitive impairment as a diagnostic entity , 2004, Journal of internal medicine.

[16]  M. Albert,et al.  Medial temporal lobe function and structure in mild cognitive impairment , 2004, Annals of neurology.

[17]  J. Wuu,et al.  Increased proNGF Levels in Subjects with Mild Cognitive Impairment and Mild Alzheimer Disease , 2004, Journal of neuropathology and experimental neurology.

[18]  C. Jack,et al.  Comparison of memory fMRI response among normal, MCI, and Alzheimer’s patients , 2003, Neurology.

[19]  S. Leurgans,et al.  Preservation of brain nerve growth factor in mild cognitive impairment and Alzheimer disease. , 2003, Archives of neurology.

[20]  Lynn Kuo,et al.  Bayesian and profile likelihood change point methods for modeling cognitive function over time , 2003, Comput. Stat. Data Anal..

[21]  L. Bäckman,et al.  Cognitive deficits in preclinical Alzheimer's disease , 2003, Acta neurologica Scandinavica. Supplementum.

[22]  S. Black,et al.  Evidence from Functional Neuroimaging of a Compensatory Prefrontal Network in Alzheimer's Disease , 2003, The Journal of Neuroscience.

[23]  M. Egan,et al.  The BDNF val66met Polymorphism Affects Activity-Dependent Secretion of BDNF and Human Memory and Hippocampal Function , 2003, Cell.

[24]  Douglas Galasko,et al.  Decline in verbal memory during preclinical Alzheimer's disease: Examination of the effect of APOE genotype , 2002, Journal of the International Neuropsychological Society.

[25]  S. Wisniewski,et al.  Upregulation of choline acetyltransferase activity in hippocampus and frontal cortex of elderly subjects with mild cognitive impairment , 2002, Annals of neurology.

[26]  G Ratcliff,et al.  Patterns of cognitive decline in presymptomatic Alzheimer disease: a prospective community study. , 2001, Archives of general psychiatry.

[27]  L. Fratiglioni,et al.  Stability of the preclinical episodic memory deficit in Alzheimer's disease. , 2001, Brain : a journal of neurology.

[28]  P. Riederer,et al.  Brain-derived neurotrophic factor and neurotrophin-3 levels in Alzheimer's disease brains , 2000, International Journal of Developmental Neuroscience.

[29]  R. Petersen,et al.  Aging, mild cognitive impairment, and Alzheimer's disease. , 2000, Neurologic clinics.

[30]  E. Tangalos,et al.  Diagnostic accuracy of four approaches to interpreting neuropsychological test data. , 2000, Neuropsychology.

[31]  D A Bennett,et al.  Preservation of nucleus basalis neurons containing choline acetyltransferase and the vesicular acetylcholine transporter in the elderly with mild cognitive impairment and early Alzheimer's disease , 1999, The Journal of comparative neurology.

[32]  L. Thal,et al.  Neuropsychological function and apolipoprotein E genotype in the preclinical detection of Alzheimer's disease. , 1999, Psychology and aging.

[33]  K. Davis,et al.  Cholinergic markers in elderly patients with early signs of Alzheimer disease. , 1999, JAMA.

[34]  E. Tangalos,et al.  Mild Cognitive Impairment Clinical Characterization and Outcome , 1999 .

[35]  Ronald C. Petersen,et al.  Definition, course, and outcome of mild cognitive impairment , 1996 .

[36]  K. Marder,et al.  Neuropsychological detection and characterization of preclinical Alzheimer's disease , 1995, Neurology.

[37]  Neuropsychological prediction of dementia and the absence of dementia in healthy elderly persons , 1995 .

[38]  M. Sliwinski,et al.  Neuropsychological prediction of dementia and the absence of dementia in healthy elderly persons , 1994, Neurology.

[39]  E. Tangalos,et al.  Mayo Cognitive Factor Scales: Derivation of a Short Battery and Norms for Factor Scores , 1994 .

[40]  H. Crystal,et al.  Object-memory evaluation for prospective detection of dementia in normal functioning elderly: predictive and normative data. , 1990, Journal of clinical and experimental neuropsychology.

[41]  Robert A. Bornstein,et al.  The Wechsler Memory Scale—Revised , 1990 .

[42]  M. Folstein,et al.  Clinical diagnosis of Alzheimer's disease , 1984, Neurology.

[43]  P. Rubé,et al.  L’examen Clinique en Psychologie , 1959 .