Precuneus Structure Changes in Amnestic Mild Cognitive Impairment

Patients with amnestic mild cognitive impairment (aMCI) are at risk for developing Alzheimer’s disease. Due to their prominent memory impairment, structural magnetic resonance imaging (MRI) often focuses on the hippocampal region. However, recent positron-emission tomography data suggest that within a network of frontal and temporal changes, patients with aMCI show metabolic alterations in the precuneus, a key region for higher cognitive functions. Using high-resolution MRI and whole-brain cortical thickness analyses in 28 patients with aMCI and 25 healthy individuals, we wanted to investigate whether structural changes in the precuneus would be associated with cortical thickness reductions in frontal and temporal brain regions in patients with aMCI. In contrast to healthy people, patients with aMCI showed an association of cortical thinning in the precuneus with predominantly left-hemispheric thickness reductions in medial temporal and frontal cortices. Our data highlight structural neuronal network characteristics among patients with aMCI.

[1]  C. Buchpiguel,et al.  Brain metabolism and cerebrospinal fluid biomarkers profile of non-amnestic mild cognitive impairment in comparison to amnestic mild cognitive impairment and normal older subjects , 2015, Alzheimer's Research & Therapy.

[2]  A. Dale,et al.  Regional and progressive thinning of the cortical ribbon in Huntington’s disease , 2002, Neurology.

[3]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[4]  Oscar López,et al.  A longitudinal follow-up of 550 mild cognitive impairment patients: evidence for large conversion to dementia rates and detection of major risk factors involved. , 2013, Journal of Alzheimer's disease : JAD.

[5]  A M Dale,et al.  Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[6]  M. Bailly,et al.  18F-FDG and 18F-Florbetapir PET in Clinical Practice: Regional Analysis in Mild Cognitive Impairment and Alzheimer Disease , 2015, Clinical nuclear medicine.

[7]  Gábor Csukly,et al.  The Differentiation of Amnestic Type MCI from the Non-Amnestic Types by Structural MRI , 2016, Front. Aging Neurosci..

[8]  Anders M. Dale,et al.  Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer , 2006, NeuroImage.

[9]  D. Y. Lee,et al.  Comparison of Regional Gray Matter Atrophy, White Matter Alteration, and Glucose Metabolism as a Predictor of the Conversion to Alzheimer's Disease in Mild Cognitive Impairment , 2015, Journal of Korean medical science.

[10]  H. Braak,et al.  Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.

[11]  D. A. Bennett,et al.  Natural history of mild cognitive impairment in older persons , 2002, Neurology.

[12]  G. Small,et al.  Thickness in Entorhinal and Subicular Cortex Predicts Episodic Memory Decline in Mild Cognitive Impairment , 2011, International journal of Alzheimer's disease.

[13]  J. Gabrieli,et al.  P1‐301: fMRI activation changes during successful episodic memory encoding and recognition in amnestic mild cognitive impairment relative to cognitively healthy older adults , 2008 .

[14]  A. Cavanna,et al.  The precuneus: a review of its functional anatomy and behavioural correlates. , 2006, Brain : a journal of neurology.

[15]  A. Dale,et al.  Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.

[16]  Craig E. L. Stark,et al.  High-resolution structural and functional MRI of hippocampal CA3 and dentate gyrus in patients with amnestic Mild Cognitive Impairment , 2010, NeuroImage.

[17]  V. Pankratz,et al.  The Mayo Clinic Study of Aging: Design and Sampling, Participation, Baseline Measures and Sample Characteristics , 2008, Neuroepidemiology.

[18]  Li Shen,et al.  Baseline MRI Predictors of Conversion from MCI to Probable AD in the ADNI Cohort , 2009, Current Alzheimer research.

[19]  P. Sachdev,et al.  Structural MRI Biomarkers of Mild Cognitive Impairment from Young Elders to Centenarians. , 2016, Current Alzheimer research.

[20]  J. Benito-León,et al.  Prognostic Significance of Mild Cognitive Impairment Subtypes for Dementia and Mortality: Data from the NEDICES Cohort. , 2016, Journal of Alzheimer's disease : JAD.

[21]  Anders M. Dale,et al.  Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature , 2010, NeuroImage.

[22]  G. Rosenberg Reversion from mild cognitive impairment to normal or near-normal cognition: Risk factors and prognosis , 2013, Neurology.

[23]  Thomas E. Nichols,et al.  Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate , 2002, NeuroImage.

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

[25]  C. Chiandetti,et al.  Conversion of mild cognitive impairment to dementia in elderly subjects: a preliminary study in a memory and cognitive disorder unit. , 2007, Archives of gerontology and geriatrics.

[26]  P. Payoux,et al.  Precuneus and Cingulate Cortex Atrophy and Hypometabolism in Patients with Alzheimer's Disease and Mild Cognitive Impairment: MRI and 18F-FDG PET Quantitative Analysis Using FreeSurfer , 2015, BioMed research international.

[27]  Nikos Makris,et al.  Automatically parcellating the human cerebral cortex. , 2004, Cerebral cortex.

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

[29]  C. Jack,et al.  Mild cognitive impairment: ten years later. , 2009, Archives of neurology.