The present study tested the effects of an intensive and short alpha and theta neurofeedback (NF) protocol in working memory (WM) performance in a healthy elder population and explored the effects of a multimodal approach, by supplementing NF with cognitive tasks. Participants were allocated to four groups: NF (N = 9); neurofeedback supplemented with cognitive training (NFCT) (N = 8); cognitive training (CT) (N = 7) and sham neurofeedback (Sham-NF) (N = 6). The intervention consisted in 30-min sessions for 8 days. The NF group presented post intervention increases of alpha and theta relative power as well as performance in the matrix rotation task. In addition, a successful up training of frontal theta showed positive correlation with an improvement of post-training alpha and a better performance in the matrix rotation task. The results presented herein suggest that an intensive and short NF protocol enables elders to learn alpha and theta self-modulation and already presents moderate improvements in cognition and basal EEG. Also, CT group showed moderate performance gains on the cognitive tasks used during the training sessions but no clear improvements on neurophysiology and behavioral measurements were observed. This study represents a first attempt to study the effects of an intensive and short NF protocol in WM performance of elders. The evidence presented here suggests that an intensive and short NF intervention could be a valid alternative for introduction of older populations to NF methodologies.

No abstract

No abstract

In the present work, we explore the development of processing of emotional facial configurations under a Predictive Processing (or Predictive Coding) framework. Predictive Processing provides a new approach to brain function that has been used to explain a wide range of processes, from perception to socio-emotional processing. The explanatory power of this framework for adult brain function is widely recognized, but it has yet to be systematically applied to understanding the developing brain. Studying the findings of developmental research under this framework may allow a deeper understanding of the predictive mechanisms and their ontogenetic course, and adds to knowledge on brain functions and developmental processes. Therefore, the goal of this work was to explore the potential complementarity of predictive processing and development. Specifically, we focus on how the development of facial and emotion processing may be understood under a predictive processing framework. The processing of facial expressions was selected due to the developmental relevance of these stimuli, their impact on general emotional development, as well as the large body of literature on this topic (comprised of both well-established but also incongruent findings, which a novel approach may clarify). Considering the main findings of developmental research on the processing of emotion-related facial configurations under this framework, we argue that predictive processing is consistent with developmental evidence and provides a promising avenue for developmental research, as it reveals new questions in the fields of development and emotion processing.

No abstract