Answers are grounded in this paper and cite their sources.
Introduction Spatial navigation deficits are observed in Alzheimer's disease cross‐sectionally, but prediction of longitudinal clinical decline has been less examined. Methods Cognitive mapping (CM) was assessed in 95 participants and route learning (RL) was assessed in 65 participants at baseline. Clinical progression over an average of 4 to 5 years was assessed using the clinical dementia rating (CDR) scale. Relative predictive ability was compared to episodic memory, hippocampus, and cerebrospinal fluid biomarkers (phosphorylated tau/amyloid β 42 (ptau181/Aβ42) ratio). Results CM and RL were predictors of clinical progression (P’s < 0.032). All measures, except RL‐Learning remained predictors with episodic memory in models (P’s < 0.048). Only RL‐Retrieval remained a predictor when ptau181/Aβ42 was included (P < 0.001). CM interacted with hippocampus and ptau181/Aβ42 in prediction (P’s < 0.013). CM, RL, and episodic memory evidenced strong diagnostic accuracy (area under the curve (AUC) = 0.894, 0.794, and 0.735, respectively); CM tended to perform better than episodic memory (P = 0.056). Discussion Baseline spatial navigation performance may be appropriate for assessing risk of clinical progression.
No takes yet. Share an insight, caveat, or question.
Levine et al. (2020) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: