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Background There is evidence to suggest the existence of an executive dysfunction in people diagnosed with fibromyalgia, although there are certain inconsistencies between studies. Here, we aim to compare executive performance between patients with fibromyalgia and a control group by using subjective and objective cognitive tests, analyzing the influence of patient mood on the results obtained, and studying associations between the two measures. Method 82 patients diagnosed with fibromyalgia and 42 healthy controls, matched by age and years of education, were assessed using the Behavioral Rating Inventory of Executive Function – Adult Version (BRIEF-A) as a subjective measure of executive functioning. A selection of objective cognitive tests were also used to measure a series of executive functions and to identify symptoms of depression and anxiety. Results Patients with fibromyalgia perceived greater difficulties than the control group on all of the BRIEF-A scales. However, after adjustments were made for depression and anxiety the only differences that remained were those associated with the working memory scale and the Metacognition and Global Executive Composite index. In the case of the objective cognitive tests, a significantly worse overall performance was evidenced for the fibromyalgia patients. However, this also disappeared when adjustments were made for depression and anxiety. After this adjustment, fibromyalgia patients only performed significantly worse for the interference effect in the Stroop Test. Although there were no significant associations between most of the objective cognitive tests and the BRIEF-A scales, depression and anxiety exhibited strong associations with almost all of the BRIEF-A scales and with several of the objective cognitive tests. Conclusions Patients with fibromyalgia showed executive dysfunction in subjective and objective measures, although most of this impairment was associated with mood disturbances. Exceptions to this general rule were observed in the impairment of working memory evidenced on the BRIEF-A scale and the inhibition impairment exhibited by the interference effect from the Stroop Test. The two types of measurement provide different yet complementary information. We would like to thank the patients who accepted to participate in the study. We are also grateful to all colleagues of the fibromyalgia unit in GSS-Hospital Universitari de Santa Maria de Lleida (Spain).

Recent advances in lifelogging, mainly due to fast development of wearable cameras, made it possible to continuously capture moments from our life from a first-person point of view. Extracting and re-experimenting moments illustrated by autobiographic images is of special interest in order to stimulate episodic memory of patients with neurodegenerative diseases (Alzheimer, mild cognitive impairment, etc.). Using a wearable camera, it is possible to generate a huge amount of images captured on a daily basis (around 2 , 000 images per day on a 30 s time-lapse mode). Since not all images obtained are valuable and semantically rich, there is a need for efficient and scalable techniques to separate the wheat from the chaff , that is. to extract egocentric images that are semantically rich enough and not redundant in order to use them for memory stimulation. By using state-of-the-art retrieval systems based on convolutional neural network features obtained from these rich, filtered egocentric images, we show how to cope with those requirements and apply the filtered images within a memory stimulation program specially developed to improve memory of patients with Mild Cognitive Impairment.