Mild Cognitive Impairment (MCI) is a heterogeneous condition between normal aging and dementia. Upon neuropsychological testing, MCI can be divided into 4 groups: single-domain amnestic MCI (sd-aMCI), multiple-domain amnestic MCI (md-aMCI), single- and multiple-domain nonamnestic MCI (sd-naMCI, md-naMCI). Some controversy exists about whether the risk of progression to Alzheimer's disease (risk-AD) is increased in all MCI subtypes. We meta-analyzed the risk-AD for 4 MCI groups using random-effects metaregression with the Hierarchical Robust Variance Estimator and sample size, criterion for objective cognitive impairment, length of follow-up and source of recruitment as covariates. From a pool of 134 available studies, 81 groups from 33 studies (N = 4,907) were meta-analyzed. All the studies were rated as having a high risk of bias. aMCI is overrepresented in studies from memory clinics. Multivariate analyses showed that md-aMCI had a similar risk-AD relative to sd-aMCI, whereas both sd-naMCI and md-naMCI showed a lower risk-AD compared with sd-aMCI. The risk-AD was significantly associated with differences in sample sizes across studies and between groups within studies. md-aMCI had a similar risk-AD relative to sd-aMCI in studies from memory clinics and in studies in the community. Several potential sources of bias such as blindness of AD diagnosis, the MCI diagnosis approach and the reporting of demographics were associated with the risk-AD. This work provides important data for use in both clinical and research scenarios. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Obtaining one or more low scores, or scores indicative of impairment, is common in neuropsychological batteries that include several measures even among cognitively normal individuals. However, the expected number of low scores in batteries with differing number of tests is unknown. Using 10 neuropsychological measures from the National Alzheimer’s Coordinating Center database, 1,023 permutations were calculated from a sample of 5,046 cognitively normal individuals. The number of low scores (i.e., z score ≤−1.5) varied for the same number of measures and among different number of measures and did not increase linearly as the number of measures increased. According to the number of low scores shown by fewer than 10% of the sample, cognitive impairment should be suspected for 1 or more, 2 or more, and 3 or more in batteries with up to 2 measures, 3 to 9 measures, and 10 measures, respectively. These results may increase the identification of mild cognitive impairment.

Learning disabilities (LDs) have an estimated prevalence between 5% and 9% in the pediatric population and are associated with difficulties in reading, arithmetic, and writing. Previous electroencephalography (EEG) research has reported a lag in alpha-band development in specific LD phenotypes, which seems to offer a possible explanation for differences in EEG maturation. In this study, 40 adolescents aged 10–15 years with LDs underwent 10 sessions of Live Z-Score Training Neurofeedback (LZT-NF) Training to improve their cognition and behavior. Based on the individual alpha peak frequency (i-APF) values from the spectrogram, a group with normal i-APF (ni-APF) and a group with low i-APF (li-APF) were compared in a pre-and-post-LZT-NF intervention. There were no statistical differences in age, gender, or the distribution of LDs between the groups. The li-APF group showed a higher theta absolute power in P4 (p = 0.016) at baseline and higher Hi-Beta absolute power in F3 (p = 0.007) post-treatment compared with the ni-APF group. In both groups, extreme waves (absolute Z-score of ≥1.5) were more likely to move toward the normative values, with better results in the ni-APF group. Conversely, the waves within the normal range at baseline were more likely to move out of the range after treatment in the li-APF group. Our results provide evidence of a viable biomarker for identifying optimal responders for the LZT-NF technique based on the i-APF metric reflecting the patient’s neurophysiological individuality.

Along with the burden commonly experienced by informal caregivers (ICs) of people with dementia (PwD), associated with the progressive decline that accompanies dementia, the lockdown due to the public health crisis has had a great negative impact on the emotional wellbeing, physical health, and social relationships of ICs. Support interventions through telemedicine represent an opportunity for ICs to learn the skills required for the care and maintenance of social networks. In this work, a narrative review of the effects of e-health training and social support interventions was carried out. A literature search was conducted using the ProQuest, Ovid, and Scopus databases. Information regarding social support (SS), psychological interventions, and training for the management of medications and behavioral changes was extracted. One hundred and nine studies were included in this review. Forums and training platforms were the main tools for ICs. The most effective platforms to improve SS include the participation of both ICs and health professionals. However, no significant improvements in objective caring skills were identified. Platforms developed specifically for ICs should be based in tools that ICs are familiar with, because many ICs have not yet incorporated Information and Communication Technologies in many activities of their daily lives. Education in the digitalization to ICs of PwD should be one of the priority objectives in telehealth interventions.

The brain activity that is measured by electroencephalography (EEG) can be modified through operant conditioning, specifically using neurofeedback (NF). NF has been applied to several disorders claiming that a change in the erratic brain activity would be accompanied by a reduction of the symptoms. However, the expected results are not always achieved. Some authors have suggested that the lack of an adequate response may be due to an incorrect application of the operant conditioning principles. A key factor in operant conditioning is the use of reinforcers and their value in modifying behavior, something that is not always sufficiently taken into account. This work aims to clarify the relevance of the motivational value versus the purely informational value of the reinforcer. In this study, 113 subjects were randomly assigned two different reinforcer conditions: a selected reinforcer—the subjects subjectively selected the reinforcers—or an imposed reinforcer—the reinforcers were assigned by the experimenter—and both groups undertook NF sessions to enhance the sensorimotor rhythm (SMR). In addition, the selected reinforcer group was divided into two subgroups: one receiving real NF and the other one sham NF. There were no significant differences between the groups at baseline in terms of SMR amplitude. After the intervention, only those subjects belonging to the selected reinforcer group and receiving real NF increased their SMR. Our results provide evidence for the importance of the motivational value of the reinforcer in Neurofeedback success.