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Supporting evidence for using biomarkers in the diagnosis of MCI due to AD
Samantha Galluzzi1, Cristina Geroldi, Giovanni Amicucci
1Laboratory of Epidemiology, Neuroimaging and Telemedicine (LENITEM), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, via Pilastroni 4, 25125 Brescia, Italy.
Abstract:
The aim of this study is to support the use of biomarkers in the diagnosis of mild cognitive impairment (MCI) due to Alzheimer's disease (AD) according to the revised NIA-AA diagnostic criteria. We compared clinical features and conversion to AD and other dementias among groups of MCI patients with different abnormal biomarker profiles. In this study, we enrolled 58 patients with MCI, and for each of them AD biomarkers (CSF Abeta42 and tau, temporoparietal hypometabolism on 18F-FDG PET, and hippocampal volume) were collected. Patients were divided into three groups: (i) no abnormal biomarker, (ii) AD biomarker pattern (including three subgroups of early = only abnormal Abeta42, intermediate = abnormal Abeta42 and FDG PET or tau, and late = abnormal Abeta42, FDG PET or tau, and HV), and (iii) any other biomarker combination. MCI patients with AD biomarker pattern had lower behavioural disturbances than patients with any other biomarker combination (p < 0.0005). This group also showed lower performance on verbal and non-verbal memory than the other two groups (p = 0.07 and p = 0.004, respectively). Within the three subgroups with AD biomarker patterns we observed a significant trend toward a higher rate of conversion to dementia (p for trend = 0.006). With regard to dementia conversion, 100 % of patients with an AD biomarker pattern developed AD, but none of the patients with no abnormal biomarker and 27 % of patients with any other biomarker combination (p = 0.002) did so. We also described some clinical cases representative for each of these three groups. The results of this study provide evidence in favour of the use of biomarkers for the diagnosis of MCI due to AD, in line with recently published research criteria.
Insights
Biomarkers aid in diagnosing mild cognitive impairment (MCI) due to Alzheimer's disease (AD). MCI patients with AD biomarker patterns showed faster conversion to AD dementia compared to others.
Area of Science:
- Neurology
- Biomarkers
- Neuroimaging
Background:
- Mild cognitive impairment (MCI) is a transitional stage between normal aging and Alzheimer's disease (AD).
- Accurate diagnosis of MCI due to AD is crucial for timely intervention and clinical trial enrollment.
- Revised diagnostic criteria emphasize the role of biomarkers in identifying AD pathology.
Purpose of the Study:
- To support the utility of biomarkers in diagnosing MCI due to AD based on updated NIA-AA criteria.
- To compare clinical features and dementia conversion rates in MCI patients with varying abnormal biomarker profiles.
- To investigate the relationship between specific AD biomarker patterns and clinical outcomes.
Main Methods:
- Enrolled 58 MCI patients.
- Collected AD biomarkers: CSF Abeta42, tau, 18F-FDG PET temporoparietal hypometabolism, and hippocampal volume.
- Classified patients into three groups: no abnormal biomarker, AD biomarker pattern, or other biomarker combinations.
Main Results:
- MCI patients with an AD biomarker pattern exhibited fewer behavioral disturbances and poorer memory performance.
- A significant trend towards higher dementia conversion rates was observed within AD biomarker subgroups.
- 100% of patients with an AD biomarker pattern converted to AD dementia, versus 0% with no abnormal biomarkers and 27% with other combinations.
Conclusions:
- Biomarker profiles effectively differentiate MCI subtypes.
- The presence of AD biomarkers strongly predicts conversion to AD dementia.
- Findings support the integration of biomarkers into MCI diagnosis for improved accuracy and prognostic value.
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