Association between Montreal Cognitive Assessment Sub-Item Scores and Corresponding Cognitive Test Performance in Patients with Frontotemporal Dementia and Related Disorders.

The Montreal Cognitive Assessment (MoCA), a brief screening test developed to detect patients with mild cognitive impairment, is used in clinical settings across North America [Nasreddine et al.: J Am Geriatr Soc 2005;53:695-699]. The MoCA has been demonstrated to be sensitive to cognitive deficits in frontotemporal dementias (FTD) and related disorders [Coleman et al.: Alzheimer Dis Assoc Disord 2016;30:258-263]. Given attentional impairments in patients with FTD, whether and to what extent the abbreviated items on the MoCA may predict performance on corresponding assessments is not known. Testing and demographic data were extracted from a clinical database using a sample of 91 patients with FTD and related disorders. The relationship between MoCA items and corresponding neuropsychological tasks was assessed through McNemar tests and Spearman correlations. While some MoCA items such as letter fluency, orientation, and clock drawing were strongly correlated with the corresponding standard cognitive test, the MoCA trails were insensitive to impairment compared to the full Trail Making B Test (p = 0.01). In contrast, MoCA naming and delayed recall sub-items detected cognitive impairment more frequently than available comparison tests. The MoCA is a sensitive screening measure to detect impairment in patients with FTD and related disorders, but cognitive deficits specific to FTD result in differential performance on MoCA items compared to longer standard cognitive tests.

Detection and Differentiation of Frontotemporal Dementia and Related Disorders From Alzheimer Disease Using the Montreal Cognitive Assessment.

The Montreal Cognitive Assessment (MoCA) is a cognitive screening tool used by practitioners worldwide. The efficacy of the MoCA for screening frontotemporal dementia (FTD) and related disorders is unknown. The objectives were: (1) to determine whether the MoCA detects cognitive impairment (CI) in FTD subjects; (2) to determine whether Alzheimer disease (AD) and FTD subtypes and related disorders can be parsed using the MoCA; and (3) describe longitudinal MoCA performance by subtype. We extracted demographic and testing data from a database of patients referred to a cognitive neurology clinic who met criteria for probable AD or FTD (N=192). Logistic regression was used to determine whether dementia subtypes were associated with overall scores, subscores, or combinations of subscores on the MoCA. Initial MoCA results demonstrated CI in the majority of FTD subjects (87%). FTD subjects (N=94) performed better than AD subjects (N=98) on the MoCA (mean scores: 18.1 vs. 16.3; P=0.02). Subscores parsed many, but not all subtypes. FTD subjects had a larger decline on the MoCA within 13 to 36 months than AD subjects (P=0.02). The results indicate that the MoCA is a useful tool to identify and track progression of CI in FTD. Further, the data informs future research on scoring models for the MoCA to enhance cognitive screening and detection of FTD patients.