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Introduction Apathy and depression are the two most frequent neuropsychiatric symptoms in Alzheimer's disease (AD) and related disorders. Whereas neuroimaging studies have shown different neural pathways for these two symptoms, a clinical overlap between apathy and depression is frequently described. Objective To describe the prevalence of apathy and depression among elderly subjects with or without dementia criteria using specific diagnostic criteria for apathy and depression. Method Subjects from an ongoing cross-sectional study were recruited in 4 centers (France, Indonesia, Spain, Argentina). Apathy and depression were assessed using the diagnostic criteria for apathy and for depression. Additionally, the apathy and dysphoria domains of the NPI-C (Neuropsychiatric Inventory-Clinician), as well as the 12 domains of the original NPI (Neuropsychiatric Inventory) were assessed. Results 431 subjects (mean age=74.6 ± 10.4 ; gender=♂ 29%) were recruited (France=100, Spain=90, Indonesia=182, Argentina=79). Among them, 25% were healthy elderly subjects, 9% had a diagnosis of MCI (Mild Cognitive Impairment), 46% had a diagnosis of dementia (including AD, Lewy body, vascular, mixed and fronto-temporal dementia). In the overall population, the prevalence of apathy and depression were respectively 41% and 25%. More specifically, the prevalence of apathy and depression in the AD sample were 67% and 25%. Conclusion Diagnostic criteria for apathy and depression, as well as the NPI-C, are recent assessment methods in the field of dementia, developed to increase the accuracy of the clinical evaluation of BPSD. It is therefore critical to propose multicenter observational studies comparing these new tools with classical assessment methods.

Introduction Ambulatory actigraphy is a simple and objective method for the evaluation of motor activity that is used in several neuropsychiatric disoders such as depression, agitation, apathy, and sleep disorders. Objective To evaluate the sensitivity (Se) and specificity (Sp) of actigraphic postural detection versus postural data gathered by observer during multiple guided activities. Material and methods A voluntary healthy subject was equipped with different actigraphs (Actiwatch®; MicroMini- Motionlogger®; MotionLog®; Movilis®) then realized multiple guided activities during a 7-hour diurnal period : walking, standing, sitting, decubitus with sleep. Actigraphs were worn on different locations (wrists, thorax, ankles, belt) and two of them included postural recognition in addition to motor activity monitoring. Se and Sp for postural recognition compared to ground-truth were obtained from table of confusion based on raw activity data recordings; error of attribution due to devices is detailed in confusion matrix. Results Actigraphy postural recognition is efficient for lying position detection (MotionLog: Se 99% Sp 97%; Movilis: Se 80% Sp 72%). Standing position was mainly recognized as sitting position and therefore actigraphic detection lacks of accuracy for these positions. Walking is detected with 20% error. Conclusion Postural actigraphy is efficient for lying position detection and actigraphic postural recognition could improve detection and characterization of nocturnal awakenings and diurnal napping in clinical practice.