This paper focuses on three areas: the first is a review of current knowledge about social and service robots for elderly care. The second is an optimization conceptual model aimed at maximizing the efficiency of assigning robots to serve the elderly. The proposed multi-criteria optimization model is the first one proposed in the area of optimization for robot assignment for the elderly with robot utilization level and caregiver stress level. The third is the findings of studies on the needs, requirements, and adoption of technology in elderly care. We consider the use of robots as a part of the ENRICHME project for long-term interaction and monitoring of older persons with mild cognitive impairment, to optimize their independence. Additionally, we performed focus group discussions (FGD) to collect opinions about robot-related requirements of the elderly and their caregivers. Four FDGs of six persons were organized: two comprising older adults, and two of the other formal and informal caregivers, based on a detailed script. The statements of older participants and their caregivers were consistent in several areas. The analysis revealed user characteristics, robot-related issues, functionality, and barriers to overcome before the deployment of the robot. An introduction of the robot must be thoroughly planned, include comprehensive pre-training, and take the ethical and practical issues into account. The involvement of future users in the customization of the robot is essential.

Background: Neuroimaging studies have demonstrated an association between lithium (Li) treatment and brain structure in human subjects. A crucial unresolved question is whether this association reflects direct neurochemical effects of Li or indirect effects secondary to treatment or prevention of episodes of bipolar disorder (BD).Method: To address this knowledge gap, we compared manually traced hippocampal volumes in 37 BD patients with at least 2 years of Li treatment (Li group), 19 BD patients with <3 months of lifetime Li exposure over 2 years ago (non-Li group) and 50 healthy controls. All BD participants were followed prospectively and had at least 10 years of illness and a minimum of five episodes. We established illness course and long-term treatment response to Li using National Institute of Mental Health (NIMH) life charts.Results: The non-Li group had smaller hippocampal volumes than the controls or the Li group (F_2,102 = 4.97, p = 0.009). However, the time spent in a mood episode on the current mood stabilizer was more than three times longer in the Li than in the non-Li group (t₅₁ = 2.00, p = 0.05). Even Li-treated patients with BD episodes while on Li had hippocampal volumes comparable to healthy controls and significantly larger than non-Li patients (t₄₃ = 2.62, corrected p = 0.02).Conclusions: Our findings support the neuroprotective effects of Li. The association between Li treatment and hippocampal volume seems to be independent of long-term treatment response and occurred even in subjects with episodes of BD while on Li. Consequently, these effects of Li on brain structure may generalize to patients with neuropsychiatric illnesses other than BD.

In bipolar patients, neuropsychological and biochemical disturbances persist into the remission period. Excellent lithium responders (ELRs) comprise

Introduction: Brain-derived neurotrophic factor (BDNF) has been involved in the pathogenesis of bipolar mood disorder and in the mechanism of mood-normalizing action of lithium. The aim of this study was to find a possible association between lithium prophylactic effect in bipolar patients and two polymorphisms of BDNF gene. Methods: Eighty-eight patients (35 males, 53 females) with bipolar illness were studied. Duration of lithium prophylaxis ranged between 5-27 years (mean 15 years). Three categories of prophylactic lithium response were delineated: excellent responders (ER), partial responders (PR) and non-responders (NR). All patients were genotyped for two polymorphisms of BDNF gene: Val66Met and -270C/T. Results: The Val/Met genotype of Val66Met polymorphism occurred more frequently (p = 0.037) and there was a trend for a higher incidence of Met allele (p = 0.076), in ER than in NR. A trend for C/T genotype and T allele of -270C/T polymorphism was observed to occur more frequently in ER than in NR (p = 0.057 and p = 0.065, respectively). Conclusion: The data obtained suggest that polymorphism of BDNF gene may be connected with a quality of lithium prophylaxis.