Association between integrated cognitive assessment (ICA) and measures of brain structure in mild cognitive impairment and mild Alzheimer's disease: Biomarkers (non‐neuroimaging) / Novel biomarkers. (7th December 2020)

• Record Type: Journal Article
• Authors: Khanbagi, Mahdiyeh; Marefat, Haniye; Karimi, Hamed; Kalafatis, Chris; Vahabi, Zahra; Razavi, Seyed‐Mahdi Khaligh
• Is Part Of: Alzheimer's & dementia. Volume 16(2020)Supplement 4
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-12-07
• Subjects: Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1002/alz.043552
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Background: Integrated Cognitive Assessment (ICA) is an artificial intelligence‐assisted test for cognitive assessment in mild cognitive impairment (MCI) and Alzheimer's Disease (AD) (Khaligh‐Razavi et al., 2019). ICA is shown to be accurate in detection of subtle cognitive impairments in MCI/ AD, and have demonstrated a strong association with the level of neural damage, as measured by NfL. However, the link between ICA and measurements of brain atrophy has not been studied yet. Here, we investigated the link between participant's performance in ICA test and their cortical volume and thickness; we were further interested to see whether the impairment detected by ICA precedes that of brain atrophy. Method: High‐resolution (1mm3) MRI scans were acquired from 45 participants (age= 64.63±7.46): 15 MCI patients, 10 mild AD, and 20 healthy controls (HC). All the participants took ICA. Structural images of the brain were then reconstructed using FreeSurfer software for volumetric and cortical thickness measurements. Result: ICA shows significant correlations with cortical thickness in various brain regions, such as part of the lingual and parahippocampal cortex (r= 0.7, p<10‐11), lateral occipital (r= 0.48, p<10‐6), inferior temporal (r= 0.43, p<10‐5) and fusiform (r=0.4, p<10‐4) in the left hemisphere. Within the right hemisphere, ICA has a significant correlation with precuneus (r= 0.45, p<10‐5) and lateral occipital (r=0.5, p<10‐7). ICA has a large effect size (Cohen's d= 0.95, p<0.001) in differentiating HC from MCI and HC from mild AD (Cohen's d= 1.98, p<0.0001). Cortical thickness and left hippocampal volume could differentiate HC from mild AD (Cohen's d= 0.88, p<0.05; and d= 0.8, p<0.05 respectively), but not HC from MCI. Conclusion: We found a significant association between participants' ICA score and the thickness of the cortex in some of the key brain areas, including parahippocampal, that are anatomically identified among the early areas affected by tau‐pathology (Braak and Braak, 1991). Furthermore, participant's ICA score could better differentiate HC from MCI or mild AD compared to their hippocampal volume, suggesting that impairment in ICA performance precedes that of hippocampal volume.