Background: Patients with amnestic mild cognitive impairment (aMCI) are usually at an initial stage of Alzheimer's disease (AD). However, some patients with aMCI do not present biomarkers of amyloid pathology characteristic of AD. The significance of amyloid-negative aMCI is not presently clear.
Objective: To know the etiology and prognosis of amyloid-negative aMCI.
Methods: Patients who fulfilled criteria for aMCI and were amyloid negative were selected from a large cohort of non-demented patients with cognitive complaints and were followed with clinical and neuropsychological assessments.
Results: Few amyloid-negative aMCI had evidence of neurodegeneration at the baseline, as reflected in cerebrospinal fluid elevated tau protein levels. About half of the patients remained essentially stable for long periods of time. Others manifested a psychiatric disorder that was not apparent at baseline, namely major depression or bipolar disorder. Remarkably, about a quarter of patients developed neurodegenerative disorders other than AD, mostly frontotemporal dementia or Lewy body disease.
Conclusion: Amyloid-negative aMCI is a heterogeneous condition. Many patients remain clinically stable, but others may later manifest psychiatric conditions or evolve to neurodegenerative disorders. Prudence is needed when communicating to the patient and family the results of biomarkers, and clinical follow-up should be advised.
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http://dx.doi.org/10.3233/JAD-215465 | DOI Listing |
J Alzheimers Dis
August 2024
Faculty of Medicine, University of Lisbon, Lisbon, Portugal.
Background: The concept of amnestic mild cognitive impairment (aMCI) was developed to identify patients at an initial stage of Alzheimer's disease (AD). However, some patients with aMCI do not present biomarkers of amyloid pathology or neuronal injury.
Objective: To know the natural history of amyloid-negative and neurodegeneration-negative patients with aMCI, namely to ascertain: 1) whether these patients remain cognitively stable or they present a slow decline in neuropsychological tests; 2) whether the memory complaints subside with the apparently benign clinical course of the disorder or if they persist along the time.
EJNMMI Res
September 2022
Turku PET Centre, Turku University Hospital, Turku, Finland.
Background: Our aim was to investigate the discriminative value of F-Flutemetamol PET in longitudinal assessment of amyloid beta accumulation in amnestic mild cognitive impairment (aMCI) patients, in relation to longitudinal cognitive changes.
Methods: We investigated the change in F-Flutemetamol uptake and cognitive impairment in aMCI patients over time up to 3 years which enabled us to investigate possible association between changes in brain amyloid load and cognition over time. Thirty-four patients with aMCI (mean age 73.
Yonsei Med J
March 2022
Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Purpose: Neuroinflammation is considered an important pathway associated with several diseases that result in cognitive decline. F-THK5351 positron emission tomography (PET) signals might indicate the presence of neuroinflammation, as well as Alzheimer's disease-type tau aggregates. β-amyloid (Aβ)-negative (Aβ-) amnestic mild cognitive impairment (aMCI) may be associated with non-Alzheimer's disease pathophysiology.
View Article and Find Full Text PDFJ Alzheimers Dis
April 2022
Faculty of Medicine, University of Lisbon, Lisbon, Portugal.
Background: Patients with amnestic mild cognitive impairment (aMCI) are usually at an initial stage of Alzheimer's disease (AD). However, some patients with aMCI do not present biomarkers of amyloid pathology characteristic of AD. The significance of amyloid-negative aMCI is not presently clear.
View Article and Find Full Text PDFRadiol Artif Intell
September 2021
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, P. R. China (W.H., X.L., H.L., W.W., K.X., J.Z., Y.C., D.W., N.S., Z.Z.); Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing, P. R. China (W.H., X.L., H.L., W.W., K.C., K.X., J.Z., Y.C., D.W., N.S., Z.Z.); Institute of Basic Research in Clinical Medicine, China Academy of Traditional Chinese Medicine, Beijing, P. R. China (H.L., J.Z., D.W.); and Banner Alzheimer's Institute, Phoenix, Ariz (K.C.).
Purpose: To determine whether a brain age prediction model could quantify individual deviations from a healthy brain-aging trajectory (predicted age difference [PAD]) in patients with amnestic mild cognitive impairment (aMCI) and to determine if PAD was associated with individual cognitive impairment.
Materials And Methods: In this retrospective study, a machine learning approach was trained to determine brain age based on T1-weighted MRI scans. Two datasets were used for model training and testing-the Beijing Aging Brain Rejuvenation Initiative (BABRI) (616 healthy controls and 80 patients with aMCI, 2010-2018) and the Alzheimer's Disease Neuroimaging Initiative (ADNI) (589 healthy controls and 144 patients with aMCI, 2010-2018).
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