Statistical Method for Identification of Alzheimer's Disease in Mild Cognitive Impairment with Multimodal Predictive Markers

Topic: Amyloid, tau and blood-test diagnosis

Our findings showed the strong predictive potential of PET, particularly florbetaben (FBB), which achieved an AUC of 0.84. Neurocognitive tests, including the Alzheimer's disease assessment scale (ADAS13), ADNI-modified preclinical Alzheimer cognitive composite (mPACCtrailsB and mPACCdigit), logical memory delayed recall total (LDELTOTAL), and ADAS cognitive subscale question 4 (ADASQ4), also demonstrated high discriminatory power with AUC values ranging from 0.82 to 0.83. These results indicated that a combination of neuroimaging and cognitive assessments can significantly differentiate between sMCI and pMCI. The results emphasize the importance of multimodal assessments, particularly PET imaging and neurocognitive tests, in distinguishing sMCI from pMCI. These findings contribute to early AD diagnosis strategies and personalized intervention planning..

Key findings

• Our findings showed the strong predictive potential of PET, particularly florbetaben (FBB), which achieved an AUC of 0.84.
• Neurocognitive tests, including the Alzheimer's disease assessment scale (ADAS13), ADNI-modified preclinical Alzheimer cognitive composite (mPACCtrailsB and mPACCdigit), logical memory delayed recall total (LDELTOTAL), and ADAS cognitive subscale question 4 (ADASQ4), also demonstrated high discriminatory power with AUC values ranging from 0.82 to 0.83.
• These results indicated that a combination of neuroimaging and cognitive assessments can significantly differentiate between sMCI and pMCI.
• The results emphasize the importance of multimodal assessments, particularly PET imaging and neurocognitive tests, in distinguishing sMCI from pMCI.
• These findings contribute to early AD diagnosis strategies and personalized intervention planning..

Why it matters

This study found that PET imaging and neurocognitive tests could distinguish between stable and progressive mild cognitive impairment. It is about improving early diagnosis and does not test any treatment, cure, or prevention.

Study details

• Participants487
• Evidence strengthLow

Read the original

• DOI: 10.32598/bcn.2024.2034.7
• PubMed: 40678096
• Original source →
• Free full text: Basic and Clinical Neuroscience Journal →

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

@article{zarei2025-40678096,
  author  = {Zarei, Soheil and Shalbaf, Reza and Shalbaf, Ahmad},
  title   = {{Statistical Method for Identification of Alzheimer's Disease in Mild Cognitive Impairment with Multimodal Predictive Markers}},
  journal = {Basic and Clinical Neuroscience Journal},
  year    = {2025},
  doi     = {10.32598/bcn.2024.2034.7},
  pmid    = {40678096},
  url     = {https://doi.org/10.32598/bcn.2024.2034.7}
}

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