rTMS evidence for a dissociation in short-term memory for spoken words and nonwords

Differing patterns of verbal short-term memory (STM) impairment have provided unique insights into the relationship between STM and broader language function. Lexicality effects (i.e., better recall for words than nonwords) are larger in patients with phonological deficits following left temporoparietal lesions, and smaller in patients with semantic impairment and anterior temporal damage, supporting linguistic accounts of STM. However, interpretation of these patient dissociations are complicated by (i) non-focal damage and (ii) confounding factors and secondary impairments. This study addressed these issues by examining the impact of inhibitory transcranial magnetic stimulation (TMS) on auditory-verbal STM performance in healthy individuals. We compared the effects of TMS to left anterior supramarginal gyrus (SMG) and left anterior middle temporal gyrus (ATL) on STM for lists of nonwords and random words. SMG stimulation disrupted nonword recall, in a pattern analogous to that observed in patients, compatible with a role for this site in processing speech sounds without support from long-term lexical-semantic representations. Stimulation of ATL, a semantic site, disrupted the recall of words but not nonwords. A visual pattern memory task indicated that these effects of TMS were restricted to the verbal domain. These data provide convergent evidence for the conclusions of neuropsychological studies that support linguistic accounts of verbal STM

Learning needs assessment among professional workers in community mental health centres in Slovenia: Study protocol

Aim: This article aims to present a study protocol that represents a tool developed for a learning needs assessment. With a pilot study, based on the presented concept of a model study, we will be able to assess what mental health learning content is not yet part of formal higher education for professionals working in community mental health centres, but has been identified as necessary for inclusion. The presented tool is transferable with appropriate modifications. The goal is to conduct multiple research with the same basic tool at all levels of the educational system and in continuing professional education for all professionals who work with people. Methods: The learning needs assessment study protocol presented uses both quantitative and qualitative research approaches. It is expected that the research will be conducted in several interrelated phases that holistically cover the needs assessment process. Results: The pilot study will provide insight into the advantages and disadvantages of the prepared learning needs assessment tool. Through the research study, the learning needs of professionals working in community mental health centres, will be identified. Conclusion: Professional mental health care workers must be equipped with the necessary knowledge, skills, attitudes, and values to perform their work with quality. By implementing appropriate mental health learning content in educational processes from pre-school education to higher education and further to continuing professional education, we can impact the mental health of the entire population. Since this can lead to acquiring the competencies necessary to care of one’s own mental health and that of others, it can be considered an important public health intervention

Unicorn, hare, or tortoise? Using machine learning to predict working memory training performance

People differ considerably in the extent to which they benefit from working memory (WM) training. Although there is increasing research focusing on individual differences associated with WM training outcomes, we still lack an understanding of which specific individual differences, and in what combination, contribute to inter-individual variations in training trajectories. In the current study, 568 undergraduates completed one of several N-back intervention variants over the course of two weeks. Participants\u27 training trajectories were clustered into three distinct training patterns (high performers, intermediate performers, and low performers). We applied machine-learning algorithms to train a binary tree model to predict individuals\u27 training patterns relying on several individual difference variables that have been identified as relevant in previous literature. These individual difference variables included pre-existing cognitive abilities, personality characteristics, motivational factors, video game experience, health status, bilingualism, and socioeconomic status. We found that our classification model showed good predictive power in distinguishing between high performers and relatively lower performers. Furthermore, we found that openness and pre-existing WM capacity to be the two most important factors in distinguishing between high and low performers. However, among low performers, openness and video game background were the most significant predictors of their learning persistence. In conclusion, it is possible to predict individual training performance using participant characteristics before training, which could inform the development of personalized interventions

Investigating the Role of Individual Differences in Adherence to Cognitive Training

Consistent with research across several domains, intervention adherence is associated with desired outcomes. Our study investigates adherence, defined by participants’ commitment to, persistence with, and compliance with an intervention’s regimen, as a key mechanism underlying cognitive training effectiveness. We examine this relationship in a large and diverse sample comprising 4,775 adults between the ages of 18 and 93. We test the predictive validity of individual difference factors, such as age, gender, cognitive capability (i.e., fluid reasoning and working memory), grit, ambition, personality, self-perceived cognitive failures, socioeconomic status, exercise, and education on commitment to and persistence with a 20-session cognitive training regimen, as measured by the number of sessions completed. Additionally, we test the relationship between compliance measures: (i) spacing between training sessions, as measured by the average time between training sessions, and (ii) consistency in the training schedule, as measured by the variance in time between training sessions, with performance trajectories on the training task. Our data suggest that none of these factors reliably predict commitment to, persistence with, or compliance with cognitive training. Nevertheless, the lack of evidence from the large and representative sample extends the knowledge from previous research exploring limited, heterogenous samples, characterized by older adult populations. The absence of reliable predictors for commitment, persistence, and compliance in cognitive training suggests that nomothetic factors may affect program adherence. Future research will be well served to examine diverse approaches to increasing motivation in cognitive training to improve program evaluation and reconcile the inconsistency in findings across the field

Vloga možganskih oscilacij v delovnem spominu

Working memory is important for a number of higher cognitive functions such as problem solving, reasoning, reading and language comprehension. Moreover, working memory measures are significantly correlated with measures of intellectual abilities. Investigating the neural basis of working memory provides the opportunity to gain a deeper understanding of individual differences in general cognitive ability. This thesis aimed to elucidate the roles of brain oscillations in working memory, with a particular focus on theta and gamma frequency bands. Two techniques were employed that are best suited for the non-invasive study of brain oscillations: scalp recorded EEG and transcranial alternating current stimulation (tACS). In the first step, correlational studies were conducted followed by neuromodulatory studies in the next step. The results showed that individuals with high working memory capacity, contrasted against individuals with low working memory capacity, display stronger alpha and gamma band desynchronisation and increased coherence in the theta frequency band between fronto- parietal areas during maintenance and between frontal brain areas during retrieval. The results further demonstrated that interactions between theta and gamma frequency bands are related to individual differences in working memory capacity. The neuromodulatory studies showed that theta tACS applied over parietal brain areas can be used to enhance performance on working memory tasks, thereby providing support for the causal role of theta band oscillations in working memory.Delovni spomin je pomemben za višje kognitivne funkcije, kot so reševanje problemov, sklepanje, jezik ter bralno razumevanje. Mere delovnega spomina in mere fluidne inteligentnosti so statistično značilno povezane. Proučevanje nevrobiološke osnove delovnega spomina omogoča boljše razmevanje individualnih razlik v kognitivnih sposobnostih. V disertaciji se osredotočam na vlogo možganskih oscilacij v delovnem spominu, predvsem v theta in gama ritmih. Uporabljeni sta bili tehniki, ki omogočata neinvazivno proučevanje možganskih oscilacij: elektroencefalografija (EEG) in transkranialna stimulacija z izmenjujočim električnim tokom (angleško: transcranial alternating current stimulationv nadaljevanju tACS). V prvem delu so predstavljene korelacijske študije, v drugem pa študije, v katerih je bil uporabljen tACS za vplivanje na možganske oscilacije. Prvi del študij je pokazal, da imajo osebe z visoko kapaciteto delovnega spomina v primerjavi z osebami z nizko kapaciteto delovnega spomina močnejšo desinhronizacijo v alfa in gama frekvencah ter povečano koherenco v theta frekvenci med frontalnimi in posteriornimi predeli možganov med ohranjanjem informacij ter med frontalnimi predeli med priklicom informacij. Rezultati so nadalje pokazali, da so interakcije med theta in gama frekvencami povezane z individualnimi razlikami v kapaciteti delovnega spomina. Drugi del študij je pokazal, da theta tACS izboljša reševanje nalog delovnega spomina, če je stimulacija usmerjena na parietalne predele možganov, s čimer se je potrdila vzročna povezava med možganskimi oscilacijami v theta frekvenci in delovnim spominom

The Effects of Theta and Gamma tACS on Working Memory and Electrophysiology

A single blind sham-controlled study was conducted to explore the effects of theta and gamma transcranial alternating current stimulation (tACS) on offline performance on working memory tasks. In order to systematically investigate how specific parameters of tACS affect working memory, we manipulated the frequency of stimulation (theta frequency vs. gamma frequency), the type of task (n-back vs. change detection task) and the content of the tasks (verbal vs. figural stimuli). A repeated measures design was used that consisted of three sessions: theta tACS, gamma tACS and sham tACS. In total, four experiments were conducted which differed only with respect to placement of tACS electrodes (bilateral frontal, bilateral parietal, left fronto-parietal and right-fronto parietal). Healthy female students (N = 72) were randomly assigned to one of these groups, hence we were able to assess the efficacy of theta and gamma tACS applied over different brain areas, contrasted against sham stimulation. The pre-post/sham resting electroencephalogram (EEG) analysis showed that theta tACS significantly affected theta amplitude, whereas gamma tACS had no significant effect on EEG amplitude in any of the frequency bands of interest. Gamma tACS did not significantly affect working memory performance compared to sham, and theta tACS led to inconsistent changes in performance on the n-back tasks. Active theta tACS significantly affected P3 amplitude and latency during performance on the n-back tasks in the bilateral parietal and right-fronto parietal protocols

Learning needs assessment among professional workers in community mental health centres in Slovenia: Study protocol

Aim: This article aims to present a study protocol that represents a tool developed for a learning needs assessment. With a pilot study, based on the presented concept of a model study, we will be able to assess what mental health learning content is not yet part of formal higher education for professionals working in community mental health centres, but has been identified as necessary for inclusion. The presented tool is transferable with appropriate modifications. The goal is to conduct multiple research with the same basic tool at all levels of the educational system and in continuing professional education for all professionals who work with people. Methods: The learning needs assessment study protocol presented uses both quantitative and qualitative research approaches. It is expected that the research will be conducted in several interrelated phases that holistically cover the needs assessment process. Results: The pilot study will provide insight into the advantages and disadvantages of the prepared learning needs assessment tool. Through the research study, the learning needs of professionals working in community mental health centres, will be identified. Conclusion: Professional mental health care workers must be equipped with the necessary knowledge, skills, attitudes, and values to perform their work with quality. By implementing appropriate mental health learning content in educational processes from pre-school education to higher education and further to continuing professional education, we can impact the mental health of the entire population. Since this can lead to acquiring the competencies necessary to care of one’s own mental health and that of others, it can be considered an important public health intervention. Source of funding None declared   Acknowledgements The authors gratefully acknowledge Maja Dizdarevic, Vera Grebenc, Kaja Krajc, Vesna Svab, Matej Vinko and Nika Vuksa Jurejevcic for their invaluable contribution when creating the methodological document.   Conflict of interest None declared

Validation of a matrix reasoning task for mobile devices.

Many cognitive tasks have been adapted for tablet-based testing, but tests to assess nonverbal reasoning ability, as measured by matrix-type problems that are suited to repeated testing, have yet to be adapted for and validated on mobile platforms. Drawing on previous research, we developed the University of California Matrix Reasoning Task (UCMRT)-a short, user-friendly measure of abstract problem solving with three alternate forms that works on tablets and other mobile devices and that is targeted at a high-ability population frequently used in the literature (i.e., college students). To test the psychometric properties of UCMRT, a large sample of healthy young adults completed parallel forms of the test, and a subsample also completed Raven's Advanced Progressive Matrices and a math test; furthermore, we collected college records of academic ability and achievement. These data show that UCMRT is reliable and has adequate convergent and external validity. UCMRT is self-administrable, freely available for researchers, facilitates repeated testing of fluid intelligence, and resolves numerous limitations of existing matrix tests