ArticleQuantitative imaging in medicine and surgery2018
The structural MRI markers and cognitive decline in prodromal Alzheimer's disease: a 2-year longitudinal study.
Article in Quantitative imaging in medicine and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- Neuropsychological Diagnostic Tools in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis.Aging and disease · 2025Pooled it
- Cortical structure and the risk for Alzheimer's disease: a bidirectional Mendelian randomization study.Translational psychiatry · 2021Pooled it
- Facial emotion recognition of sadness relates to superior parietal gray matter volume in mild cognitive impairment.Brain structure & function · 2026Article
- Multi-modal machine learning approach for early detection of neurodegenerative diseases leveraging brain MRI and wearable sensor data.PLOS digital health · 2025Article
- Alzheimer's disease stage recognition from MRI and PET imaging data using Pareto-optimal quantum dynamic optimization.Heliyon · 2024Article
- Choroid plexus volumes and auditory verbal learning scores are associated with conversion from mild cognitive impairment to Alzheimer's disease.Brain and behavior · 2024Article
- Baseline Frontoparietal Gray Matter Volume Predicts Executive Function Performance in Aging and Mild Cognitive Impairment at 24-Month Follow-Up.Journal of Alzheimer's disease : JAD · 2024Article
- Alzheimer's Disease: Insights from Large-Scale Brain Dynamics Models.Brain sciences · 2023Review
- Altered Functional Connectivity Density in Type 2 Diabetes Mellitus with and without Mild Cognitive Impairment.Brain sciences · 2023Article
- Longitudinal Spatial Relationships Between Atrophy and Hypometabolism Across the Alzheimer's Disease Continuum.Journal of Alzheimer's disease : JAD · 2023Article
- Harnessing acoustic speech parameters to decipher amyloid status in individuals with mild cognitive impairment.Frontiers in neuroscience · 2023Article
- Searching for optimal machine learning model to classify mild cognitive impairment (MCI) subtypes using multimodal MRI data.Scientific reports · 2022Article
- Brain neurometabolites differences in individuals with subjective cognitive decline plus: a quantitative single- and multi-voxel proton magnetic resonance spectroscopy study.Quantitative imaging in medicine and surgery · 2021Article
- Meynert nucleus-related cortical thinning in Parkinson's disease with mild cognitive impairment.Quantitative imaging in medicine and surgery · 2021Article
- Molecular and Imaging Biomarkers in Alzheimer's Disease: A Focus on Recent Insights.Journal of personalized medicine · 2020Review
- Identifying subtypes of mild cognitive impairment from healthy aging based on multiple cortical features combined with volumetric measurements of the hippocampal subfields.Quantitative imaging in medicine and surgery · 2020Article
- The effect of ApoE ε 4 on clinical and structural MRI markers in prodromal Alzheimer's disease.Quantitative imaging in medicine and surgery · 2020Article
- Morphometric network differences in ageing versus Alzheimer's disease dementia.Brain : a journal of neurology · 2020Article
- The risk factors associated with delirium after lumbar spine surgery in elderly patients.Quantitative imaging in medicine and surgery · 2019Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundBeing clinically diagnosed with a mild cognitive impairment (MCI) due to Alzheimer's disease (AD) is widely studied. Yet, the clinical and structural neuroimaging characteristics for prodromal AD, which are defined as A+T+MCI based on the AT (N) system are still highly desirable. This study evaluates the differences of the cognitive assessments and structural magnetic resonance imaging (MRI) between the early MCI (EMCI) and late MCI (LMCI) participants based on the AT (N) system. The potential clinical value of the structural MRI as a predictor of cognitive decline during follow-up in prodromal AD is further investigated.
methodsA total of 406 MCI participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database were chosen and dichotomized into EMCI and LMCI groups according to the Second Edition (Logical Memory II) Wechsler Memory Scale. Multiple markers' data was collected, including age, sex, years of education, ApoE4 status, cerebrospinal fluid (CSF) biomarkers, standardized uptake values ratios (SUVR) means of florbetapir-PET-AV45, cognitive measures, and structural MRI. We chose 197 A+T+MCI participants (prodromal AD) with positive biomarkers of Aβ plaques (labeled "A") and fibrillar tau (labeled "T"). We diagnosed Aβ plaques positive by the SUVR means of florbetapir-PET-AV45 (cut-off >1.1) and fibrillar tau positive by CSF phosphorylated-tau at threonine 181 (p-tau) (cut-off >23 pg/mL). The differences of cognitive assessments and regions of interest (ROIs) defined on the MRI template between EMCI and LMCI were compared. Furthermore, the potential clinical utility of the MRI as the predictor of cognitive decline in prodromal AD was evaluated by investigating the relationship between baseline MRI markers and cognition decline at the follow-up period, through a linear regression model.
resultsThe LMCI participants had a significantly more amyloid burden and CSF levels of total t-tau than the EMCI participants. The LMCI participants scored a lower result than the EMCI group in the global cognition scales and subscales which included tests for memory, delayed recall memory, executive function, language, attention and visuospatial skills. The cognition levels declined faster in the LMCI participants during the 12- and 24-month follow-up. There were significant differences in ROIs on the structural MRI between the two groups, including a bilateral entorhinal, a bilateral hippocampus, a bilateral amygdala, a bilateral lateral ventricle and cingulate, a corpus callosum, and a left temporal. The thickness average of the left entorhinal, the left middle temporal, the left superior temporal, and the right isthmus cingulate was a main contributor to the decreased global cognition levels. The thickness average of the left superior temporal and bilateral entorhinal played a key role in the memory domain decline. The thickness average of the left middle temporal, and the right isthmus cingulate was significantly associated with an executive function decline.
conclusionsBased on the AT (N) system, surely, both the EMCI and LMCI diagnoses presented significant differences in multiple cognition domains. Signature ROIs from the structural MRI tests had correlated a cognitive decline, and could act as one potential predictive marker.
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