Attentional Processes Research Articles

EEG tensor decomposition delineates neurophysiological principles underlying conflict-modulated action restraint and action cancellation

Executive functions are essential for adaptive behavior. One executive function is the so-called ‘interference control’ or conflict monitoring another one is inhibitory control (i.e., action restraint and action cancelation). Recent evidence suggests an interplay of these processes, which is conceptually relevant given that newer conceptual frameworks imply that nominally different action/response control processes are explainable by a small set of cognitive and neurophysiological processes. The existence of such overarching neural principles has as yet not directly been examined. In the current study, we therefore use EEG tensor decomposition methods, to look into possible common neurophysiological signatures underlying conflict-modulated action restraint and action cancelation as mechanism underlying response inhibition. We show how conflicts differentially modulate action restraint and action cancelation processes and delineate common and distinct neural processes underlying this interplay. Concerning the spatial information modulations are similar in terms of an importance of processes reflected by parieto-occipital electrodes, suggesting that attentional selection processes play a role. Especially theta and alpha activity seem to play important roles. The data also show that tensor decomposition is sensitive to the manner of task implementation, thereby suggesting that switch probability/transitional probabilities should be taken into consideration when choosing tensor decomposition as analysis method. The study provides a blueprint of how to use tensor decomposition methods to delineate common and distinct neural mechanisms underlying action control functions using EEG data.

A dual mechanisms of control account of age differences in working memory.

Age-related differences in working memory (WM) can be large, but the exact sources are unclear. We hypothesized that young adults outperform older adults on WM tasks because they use controlled attention processes to prioritize the maintenance of relevant information in WM in a proactive mode, whereas older adults tend to rely on the strength of familiarity signals to make memory decisions in a reactive mode. We used a WM task that cued participants to prioritize one item over others and presented repeated lure probes that cause errors when one is engaged in a reactive mode. Results showed that, relative to young adults with full attention available to use proactive control during the delays, older adults with full attention (and young adults with divided attention) during the delays had exaggerated error rates to repeated lure probes compared to control probes. When the amount of proactive interference was increased (by repeating stimuli across trials), older adults were able to engage in proactive control, and this eliminated their exaggerated error rate (while young adults with divided attention could not). These results provide evidence for a dual mechanisms of control account of age differences in WM. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

New haptic systems for elicit emotions in audio-visual events for hearing impaired people.

In this research we have developed devices for hearing impaired people that can transmit the emotions evoked by music. In this way, we will all achieve the full inclusion of impairment people in all social activities. As this is an issue that goes beyond pure engineering research, it has been necessary to create a multidisciplinary group within the Spanish Centre for Captioning and Audio Description (CESyA), in direct collaboration with the Display and Photonic Applications Research Group (GDAF) and the Human Language and Accessibility Technologies Group (HULAT) of the Carlos III University (UC3M) and the Psychiatry and Applied Communication Departments of the Complutense University of Madrid. For this research, a pair of haptic gloves were developed, which transmit different characteristics extracted from music by means of vibrational sequences, intended to drive an emotional reinforcement. Another device, a “music box”, a vibration box, was also developed from the idea of using vibration as an instrument.Overall, the acceptance of the glove was positive, with an 80% of users accepting the negative video, repeatedly stating in the surveys that they "felt more when the glove vibrated". The music box was also well received. Volunteers felt that the system gave them a pleasant sensation and that they could feel the music. However, some participants associated the vibration with the sensation of an alarm clock, which was expectedly negative.Considering the obtained EEG results, we can conclude that the integration of simple multimodal stimuli, visual and vibrotactile, helps to enhance the activation of emotional processes linked with musical stimulation. It can also be concluded that multimodal visual and vibrotactile stimulation enhances both attentional and emotional processes. These results pave the way for future developments that will allow a hearing-impaired person to fully enjoy an audiovisual event, which will have a great impact on this group.

Task-Specific Rapid Auditory Perceptual Learning in Adult Cochlear Implant Recipients: What Could It Mean for Speech Recognition.

Speech recognition in cochlear implant (CI) recipients is quite variable, particularly in challenging listening conditions. Demographic, audiological, and cognitive factors explain some, but not all, of this variance. The literature suggests that rapid auditory perceptual learning explains unique variance in speech recognition in listeners with normal hearing and those with hearing loss. The present study focuses on the early adaptation phase of task-specific rapid auditory perceptual learning. It investigates whether adult CI recipients exhibit this learning and, if so, whether it accounts for portions of the variance in their recognition of fast speech and speech in noise. Thirty-six adult CI recipients (ages = 35 to 77, M = 55) completed a battery of general speech recognition tests (sentences in speech-shaped noise, four-talker babble noise, and natural-fast speech), cognitive measures (vocabulary, working memory, attention, and verbal processing speed), and a rapid auditory perceptual learning task with time-compressed speech. Accuracy in the general speech recognition tasks was modeled with a series of generalized mixed models that accounted for demographic, audiological, and cognitive factors before accounting for the contribution of task-specific rapid auditory perceptual learning of time-compressed speech. Most CI recipients exhibited early task-specific rapid auditory perceptual learning of time-compressed speech within the course of the first 20 sentences. This early task-specific rapid auditory perceptual learning had unique contribution to the recognition of natural-fast speech in quiet and speech in noise, although the contribution to natural-fast speech may reflect the rapid learning that occurred in this task. When accounting for demographic and cognitive characteristics, an increase of 1 SD in the early task-specific rapid auditory perceptual learning rate was associated with ~52% increase in the odds of correctly recognizing natural-fast speech in quiet, and ~19% to 28% in the odds of correctly recognizing the different types of speech in noise. Age, vocabulary, attention, and verbal processing speed also had unique contributions to general speech recognition. However, their contribution varied between the different general speech recognition tests. Consistent with previous findings in other populations, in CI recipients, early task-specific rapid auditory perceptual, learning also accounts for some of the individual differences in the recognition of speech in noise and natural-fast speech in quiet. Thus, across populations, the early rapid adaptation phase of task-specific rapid auditory perceptual learning might serve as a skill that supports speech recognition in various adverse conditions. In CI users, the ability to rapidly adapt to ongoing acoustical challenges may be one of the factors associated with good CI outcomes. Overall, CI recipients with higher cognitive resources and faster rapid learning rates had better speech recognition.

Neural correlates of obesity across the lifespan

Associations between brain and obesity are bidirectional: changes in brain structure and function underpin over-eating, while chronic adiposity leads to brain atrophy. Investigating brain-obesity interactions across the lifespan can help better understand these relationships. This study explores the interaction between obesity and cortical morphometry in children, young adults, adults, and older adults. We also investigate the genetic, neurochemical, and cognitive correlates of the brain-obesity associations. Our findings reveal a pattern of lower cortical thickness in fronto-temporal brain regions associated with obesity across all age cohorts and varying age-dependent patterns in the remaining brain regions. In adults and older adults, obesity correlates with neurochemical changes and expression of inflammatory and mitochondrial genes. In children and older adults, adiposity is associated with modifications in brain regions involved in emotional and attentional processes. Thus, obesity might originate from cognitive changes during early adolescence, leading to neurodegeneration in later life through mitochondrial and inflammatory mechanisms.

Dynamic Nonlinear Spatial Integrations on Encoding Contrasting Stimuli of Tectal Neurons.

Animals detect targets using a variety of visual cues, with the visual salience of these cues determining which environmental features receive priority attention and further processing. Surround modulation plays a crucial role in generating visual saliency, which has been extensively studied in avian tectal neurons. Recent work has reported that the suppression of tectal neurons induced by motion contrasting stimulus is stronger than that by luminance contrasting stimulus. However, the underlying mechanism remains poorly understood. In this study, we built a computational model (called Generalized Linear-Dynamic Modulation) which incorporates independent nonlinear tuning mechanisms for excitatory and inhibitory inputs. This model aims to describe how tectal neurons encode contrasting stimuli. The results showed that: (1) The dynamic nonlinear integration structure substantially improved the accuracy (significant difference (p < 0.001, paired t-test) in the goodness of fit between the two models) of the predicted responses to contrasting stimuli, verifying the nonlinear processing performed by tectal neurons. (2) The modulation difference between luminance and motion contrasting stimuli emerged from the predicted response by the full model but not by that with only excitatory synaptic input (spatial luminance: 89 ± 2.8% (GL_DM) vs. 87 ± 2.1% (GL_DMexc); motion contrasting stimuli: 87 ± 1.7% (GL_DM) vs. 83 ± 2.2% (GL_DMexc)). These results validate the proposed model and further suggest the role of dynamic nonlinear spatial integrations in contextual visual information processing, especially in spatial integration, which is important for object detection performed by birds.

Two Attentional Processes Subserving Working Memory Differentiate Gifted and Mainstream Students.

Two working memory (WM) measures were contrasted, to clarify the nature of advantages in gifted children's cognitive processing. It was predicted that cognitively gifted children would excel in WM tasks taxing mental attention (i.e., n-back) but not tasks supported by perceptual attention (i.e., self-ordered pointing, SOPT). Ninety-one children aged 9-10 and 13-14 years, in a gifted or mainstream classroom, received n-back and SOPT, plus measures of mental-attentional (M-) capacity, inhibition, and shifting. Older children generally scored higher than younger children. As predicted, gifted children outperformed mainstream peers on all tasks, except for SOPT. Results demonstrate the need to distinguish between mental and perceptual attention in measurement of WM.

Choice Repetition Bias in Intertemporal Choice: An Eye‐Tracking Study

ABSTRACTIntertemporal choices (i.e., the choice between a sooner available but smaller reward and a later available but larger reward) were initially thought to reflect stable preferences for immediate or delayed rewards. However, recently, it has been shown that intertemporal choices are influenced by factors such as context variables and attentional processes. Here, we investigate if another factor, the choice repetition bias, affects decision making and attentional processes in intertemporal choice. The choice repetition bias is characterized by the tendency to repeat previous choices and to be slower when switching to an alternative choice. In a series of two experiments (including a preregistered, eye‐tracking study), we find that the choice repetition bias exists in intertemporal choice. We also find tentative support for an early attentional bias towards the favored attribute dimension of the previous choice; however, this effect disappears when taking the whole decision process into account. This finding raises interesting questions about the cognitive processes underlying the choice repetition bias. In addition, we successfully replicate other attentional effects from the intertemporal choice literature (e.g., more fixations on monetary dimension, gaze cascade effect).

The Role of Attention Modulation and Its Neurophysiological Mechanisms in Tinnitus Management: A Review

Background and Aim: Tinnitus, characterized by the perception of sound without the presence of an external auditory stimulus, can profoundly affect the quality of life. This review study aims to assess the role of attention modulation in tinnitus management and investigate the neurophysiological mechanism of attention and its interaction with emotional processing in patients with tinnitus. Recent Findings: The studies revealed differences in the function of attentional networks among individuals with tinnitus. The studies showed the positive impact of various techniques for attention modulation through direct attention training or indirect mechanisms influencing attention. These techniques could modify attentional biases, enhance attention control, and alleviate tinnitus-related distress. Conclusion: The results of studies suggest the potential role of attention modulation in tinnitus management. By targeting attentional processes, researchers and clinicians can provide more effective interventions for individuals with tinnitus. However, there is a need for further investigation to optimize the intervention protocols by collaboration between researchers, clinicians, and individuals with tinnitus to achieve success in tinnitus management. Background and Aim: Tinnitus, characterized by the perception of sound without the presence of an external auditory stimulus, can profoundly affect the quality of life. This review study aims to assess the role of attention modulation in tinnitus management and investigate the neurophysiological mechanism of attention and its interaction with emotional processing in patients with tinnitus. Recent Findings: The studies revealed differences in the function of attentional networks among individuals with tinnitus. The studies showed the positive impact of various techniques for attention modulation through direct attention training or indirect mechanisms influencing attention. These techniques could modify attentional biases, enhance attention control, and alleviate tinnitus-related distress. Conclusion: The results of studies suggest the potential role of attention modulation in tinnitus management. By targeting attentional processes, researchers and clinicians can provide more effective interventions for individuals with tinnitus. However, there is a need for further investigation to optimize the intervention protocols by collaboration between researchers, clinicians, and individuals with tinnitus to achieve success in tinnitus management. Keywords: Tinnitus; attention; tinnitus management; neurophysiological mechanism; attention training

Attention control training and transfer effects on cognitive tasks

Attention control is the common element underlying different executive functions. The backward Masking Majority Function Task (MFT-M) requires intensive attention control, and represents a diverse situation where attentional resources need to be allocated dynamically and flexibly to reduce uncertainty. Aiming to train attention control using MFT-M and examine the training transfer effects in various executive functions, we recruited healthy young adults (n = 84) and then equally randomized them into two groups trained with either MFT-M or a sham program for seven consecutive days. Cognitive evaluations were conducted before and after the training, and the electroencephalograph (EEG) signals were recorded for the revised Attention Network Test (ANT-R), N-back, and Task-switching (TS) tasks. Compared to the control group, the training group performed better on the congruent condition of Flanker and the double-congruency condition of Flanker and Location in the ANT-R task, and on the learning trials in the verbal memory test. The training group also showed a larger P2 amplitude decrease and P3 amplitude increase in the 2-back task and a larger P3 amplitude increase in the TS task's repeat condition than the control group, indicating improved neural efficiency in two tasks' attentional processes. Introversion moderated the transfer effects of training, as indicated by the significant group*introversion interactions on the post-training 1-back efficiency and TS switching cost. Our results suggested that attention control training with the MFT-M showed a broad transfer scope, and the transfer effect was influenced by the form of training task. Introversion facilitated the transfer to working memory and hindered the transfer to flexibility.

Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction

Visual highlighting can guide user attention in complex interfaces. However, its effectiveness under limited attentional capacities is underexplored. This paper examines the joint impact of visual highlighting (permanent and dynamic) and dual-task-induced cognitive load on gaze behaviour. Our analysis, using eye-movement data from 27 participants viewing 150 unique webpages reveals that while participants' ability to attend to UI elements decreases with increasing cognitive load, dynamic adaptations (i.e., highlighting) remain attention-grabbing. The presence of these factors significantly alters what people attend to and thus what is salient. Accordingly, we show that state-of-the-art saliency models increase their performance when accounting for different cognitive loads. Our empirical insights, along with our openly available dataset, enhance our understanding of attentional processes in UIs under varying cognitive (and perceptual) loads and open the door for new models that can predict user attention while multitasking.

Community pharmacists’ awareness, identification, and management of prescribing cascades: A cross-sectional survey

BackgroundPrescribing cascades can lead to unnecessary medication use, healthcare costs, and patient harm. Pharmacists oversee prescriptions from multiple prescribers and are well positioned to identify such cascades, making pharmacists key stakeholders to address them. ObjectivesTo evaluate community pharmacists’ awareness, identification, and management of prescribing cascades and to assess behavioural determinants that may be targeted in future strategies to minimise inappropriate prescribing cascades. MethodsAn online survey was developed using the Theoretical Domains Framework (TDF) and emailed to all registered community pharmacists in Ireland (n = 3775) in November 2021. Quantitative data were analysed using descriptive and inferential statistics. Free-text sections were given to capture reasons for non-resolution of identified prescribing cascades and suggestions to aid prescribing cascade identification and management; this text underwent content analysis. ResultsOf the 220 respondents, 51% were aware of the term ‘prescribing cascade’ before the survey, whilst 69% had identified a potentially inappropriate prescribing cascade in practice. Over one third were either slightly confident (26.4%) or not confident at all (10%) in their ability to identify potentially inappropriate prescribing cascades in patients' prescriptions before the survey, whilst 55.2% were concerned that patients were receiving prescribing cascades they had not identified. Most respondents wanted further information/training to help prescribing cascade identification (88.3%) and management (86.1%). Four predominant TDF domains identified were common to both i) influencing non-resolution of identified prescribing cascades and ii) in the suggestions to help identify and manage prescribing cascades: ‘Environmental Context and Resources’, ‘Social/Professional Role and Identity’, ‘Social Influences’ and ‘Memory, Attention and Decision Processes’. ConclusionsThere is a clear need to provide additional resources to help community pharmacists identify and manage prescribing cascades. These findings will support the development of theory-informed behaviour change strategies to aid the minimisation of inappropriate prescribing cascades and decrease the risk of medication-related harm for patients.

Early audiovisual language discrimination: Monolingual and bilingual infants’ differences in language switch detection

Successful language learning in bilinguals requires the differentiation of two language systems. The capacity to discriminate rhythmically close languages has been reported in 4-month-olds using auditory-only stimuli. This research offers a novel perspective on early language discrimination using audiovisual material. Monolingual and bilingual infants were first habituated to a face talking in the participants’ native language (or the more frequent language in bilingual contexts) and then tested on two successive language switches by the same speaker, with a close and a distant language. Code-switching exposure was indexed from parental questionnaires. Results revealed that while monolinguals could detect both the close- and distant-language switch, bilinguals only reacted to the distant language, regardless of home code-switching experience. In the temporal dimension, the analyses showed that language switch detection required at least 10 s, suggesting that the audiovisual presentation (here the same speaker switching languages) slowed down or even hindered the language switch detection. These results suggest that the detection of a multimodal close-language switch is a challenging task, especially for bilingual infants exposed to phonologically and rhythmically close languages. The current research sets the ground for further studies exploring the role of indexical cues and selective attention processes on language switch detection.

Attentional Differences Between Males and Females for Emojis During the Emotional Stroop Task.

Introduction Cognitive load can be intensified by emotional components such as emotive words or facial expressions. Sexdifferences influence both emotional and cognitive functions for emotional facial expressions. Emojis, in contrast to human faces, serve as digital cues conveying emotional nuances in communication. The present study aimed to compare attentional differences prompted by emojis. Methods This study aimed to compare attentional differences in males and females elicited by emojis in 100 healthy adults (50 males and 50 females) within the age group of 18 to 40 years (mean ± SD: 27.87 ± 5.37 years) while performing the emotional Stroop task (EST). The EST comprised emojis depicting four emotions (happy, fear, sad, and angry) and emotionally charged words conveying similar emotions. An independent sample t-test was used to compare the reaction times among males and females. Results Results showed males had significantly longer reaction times than females across all task conditions. Both genders exhibited significant differences in reaction times across task conditions, except inhibition. Overall, reaction times increased notably from neutral to incongruent conditions for both genders. This suggests that response times increased significantly from neutral to incongruent conditions. Conclusion Emojis introduced in the EST revealed gender-related differences in attentional processing. This study showed the greater proficiency of females in emotional processing during EST compared to males. These findings contribute to our understanding of how gender is associated with cognitive responses to emotional stimuli in digital communication contexts.

Investigating cognitive-motor effects during slacklining using mobile EEG.

Balancing is a very important skill, supporting many daily life activities. Cognitive-motor interference (CMI) dual-tasking paradigms have been established to identify the cognitive load of complex natural motor tasks, such as running and cycling. Here we used wireless, smartphone-recorded electroencephalography (EEG) and motion sensors while participants were either standing on firm ground or on a slackline, either performing an auditory oddball task (dual-task condition) or no task simultaneously (single-task condition). We expected a reduced amplitude and increased latency of the P3 event-related potential (ERP) component to target sounds for the complex balancing compared to the standing on ground condition, and a further decrease in the dual-task compared to the single-task balancing condition. Further, we expected greater postural sway during slacklining while performing the concurrent auditory attention task. Twenty young, experienced slackliners performed an auditory oddball task, silently counting rare target tones presented in a series of frequently occurring standard tones. Results revealed similar P3 topographies and morphologies during both movement conditions. Contrary to our predictions we observed neither significantly reduced P3 amplitudes, nor significantly increased latencies during slacklining. Unexpectedly, we found greater postural sway during slacklining with no additional task compared to dual-tasking. Further, we found a significant correlation between the participant's skill level and P3 latency, but not between skill level and P3 amplitude or postural sway. This pattern of results indicates an interference effect for less skilled individuals, whereas individuals with a high skill level may have shown a facilitation effect. Our study adds to the growing field of research demonstrating that ERPs obtained in uncontrolled, daily-life situations can provide meaningful results. We argue that the individual CMI effects on the P3 ERP reflects how demanding the balancing task is for untrained individuals, which draws on limited resources that are otherwise available for auditory attention processing. In future work, the analysis of concurrently recorded motion-sensor signals will help to identify the cognitive demands of motor tasks executed in natural, uncontrolled environments.

I Won't Forget to Do It If It's Important: A Multinomial Processing Tree Analysis of Social Importance and Monetary Reward on Event-Based Prospective Memory.

While previous research has suggested that prospective memory may be enhanced by providing a social motive (i.e., social importance) or by promising a monetary reward for successful performance, to the best of our knowledge, the underlying mechanisms responsible for these effects are still largely unexplored. In a sample of 96 younger adults, this study investigated how social importance and promising a monetary reward influence the prospective component and the retrospective component of event-based prospective memory separately, with the application of a multinomial modeling approach. Results revealed enhanced prospective memory performance for all importance conditions compared to a standard condition. This improvement was characterized by an increased allocation of resource-demanding attentional processes in performing the prospective memory task at the expense of the ongoing task without an increase in the perceived importance of the prospective memory task. The model-based analyses showed that the beneficial effects of importance arise from an increased engagement of the prospective component, leaving the estimates for the retrospective component unaffected.

ADDGCN: A Novel Approach with Down-Sampling Dynamic Graph Convolution and Multi-Head Attention for Traffic Flow Forecasting

An essential component of autonomous transportation system management and decision-making is precise and real-time traffic flow forecast. Predicting future traffic conditionsis a difficult undertaking because of the intricate spatio-temporal relationships involved. Existing techniques often employ separate modules to model spatio-temporal features independently, thereby neglecting the temporally and spatially heterogeneous features among nodes. Simultaneously, many existing methods overlook the long-term relationships included in traffic data, subsequently impacting prediction accuracy. We introduce a novel method to traffic flow forecasting based on the combination of the feature-augmented down-sampling dynamic graph convolutional network and multi-head attention mechanism. Our method presents a feature augmentation mechanism to integrate traffic data features at different scales. The subsampled convolutional network enhances information interaction in spatio-temporal data, and the dynamic graph convolutional network utilizes the generated graph structure to better simulate the dynamic relationships between nodes, enhancing the model’s capacity for capturing spatial heterogeneity. Through the feature-enhanced subsampled dynamic graph convolutional network, the model can simultaneously capture spatio-temporal dependencies, and coupled with the process of multi-head temporal attention, it achieves long-term traffic flow forecasting. The findings demonstrate that the ADDGCN model demonstrates superior prediction capabilities on two real datasets (PEMS04 and PEMS08). Notably, for the PEMS04 dataset, compared to the best baseline, the performance of ADDGCN is improved by 2.46% in MAE and 2.90% in RMSE; for the PEMS08 dataset, compared to the best baseline, the ADDGCN performance is improved by 1.50% in RMSE, 3.46% in MAE, and 0.21% in MAPE, indicating our method’s superior performance.

From Eye Movements to Personality Traits: A Machine Learning Approach in Blood Donation Advertising

Blood donation heavily depends on voluntary involvement, but the problem of motivating and retaining potential blood donors remains. Understanding the personality traits of donors can assist in this case, bridging communication gaps and increasing participation and retention. To this end, an eye-tracking experiment was designed to examine the viewing behavior of 75 participants as they viewed various blood donation-related advertisements. The purpose of these stimuli was to elicit various types of emotions (positive/negative) and message framings (altruistic/egoistic) to investigate cognitive reactions that arise from donating blood using eye-tracking parameters such as the fixation duration, fixation count, saccade duration, and saccade amplitude. The results indicated significant differences among the eye-tracking metrics, suggesting that visual engagement varies considerably in response to different types of advertisements. The fixation duration also revealed substantial differences in emotions, logo types, and emotional arousal, suggesting that the nature of stimuli can affect how viewers disperse their attention. The saccade amplitude and saccade duration were also affected by the message framings, thus indicating their relevance to eye movement behavior. Generalised linear models (GLMs) showed significant influences of personality trait effects on eye-tracking metrics, including a negative association between honesty–humility and fixation duration and a positive link between openness and both the saccade duration and fixation count. These results indicate that personality traits can significantly impact visual attention processes. The present study broadens the current research frontier by employing machine learning techniques on the collected eye-tracking data to identify personality traits that can influence donation decisions and experiences. Participants’ eye movements were analysed to categorize their dominant personality traits using hierarchical clustering, while machine learning algorithms, including Support Vector Machine (SVM), Random Forest, and k-Nearest Neighbours (KNN), were employed to predict personality traits. Among the models, SVM and KNN exhibited high accuracy (86.67%), while Random Forest scored considerably lower (66.67%). This investigation reveals that computational models can infer personality traits from eye movements, which shows great potential for psychological profiling and human–computer interaction. This study integrates psychology research and machine learning, paving the way for further studies on personality assessment by eye tracking.

Attentional control influence habituation through modulation of connectivity patterns within the prefrontal cortex: Insights from stereo-EEG

Attentional control, guided by top-down processes, enables selective focus on pertinent information, while habituation, influenced by bottom-up factors and prior experiences, shapes cognitive responses by emphasizing stimulus relevance. These two fundamental processes collaborate to regulate cognitive behavior, with the prefrontal cortex and its subregions playing a pivotal role. Nevertheless, the intricate neural mechanisms underlying the interaction between attentional control and habituation are still a subject of ongoing exploration. To our knowledge, there is a dearth of comprehensive studies on the functional connectivity between subsystems within the prefrontal cortex during attentional control processes in both primates and humans. Utilizing stereo-electroencephalogram (SEEG) recordings during the Stroop task, we observed top-down dominance effects and corresponding connectivity patterns among the orbitofrontal cortex (OFC), the middle frontal gyrus (MFG), and the inferior frontal gyrus (IFG) during heightened attentional control. These findings highlighting the involvement of OFC in habituation through top-down attention. Our study unveils unique connectivity profiles, shedding light on the neural interplay between top-down and bottom-up attentional control processes, shaping goal-directed attention.

Cognitive dysfunction characteristics of multiple sclerosis with aging

BackgroundWe aimed to investigate the characteristics of cognitive impairment in older people with multiple sclerosis (MS). MethodsCross-sectional study that included participants that were examined with a common and comprehensive neuropsychological protocol. The subjects were matched by sociodemographic variables and the following groups were generated for comparisons: young MS versus healthy controls (HC) (n = 246), old MS versus HC (n = 198), young MS vs old MS (n = 226), MS vs Alzheimer's disease (AD)(n = 70), and MS vs Parkinson's disease (PD) (n = 62). The ICCoDiMS criteria were used to define cognitive impairment in MS. ResultsCognitive impairment was more frequent in young than old patients (70.8 % vs 52.2 %). Attention and speed processing is the most frequent cognitive domain impaired in MS (54.9 % of young MS vs 32.7 % of old MS). The frequency of impairment in attention/processing speed (54.9 % vs 32.7 %) and episodic memory (27.9 % vs 14.3) was higher in the young group than in the old group. There were no statistically significant differences in the distribution of impairment in executive function (46.0 % vs 35.3 %), visuospatial (17.9 % vs 9.5 %), and language (12.4 % vs 17.7 %). In those patients meeting the criteria for cognitive impairment, young MS patients showed lower performance in attention/processing speed tests. Conversely, old MS patients showed lower performance in episodic memory, verbal fluency, and planning. There were no differences in the correlations between SDMT and other neuropsychological tests in young and old patients, which suggests similar cognitive processes underlying SDMT performance in both groups. There were differences between old MS and prodromal AD, especially in episodic memory, while the cognitive profile of old MS was largely shared with PD. ConclusionsOur study found that the cognitive profile of MS is defined by a characteristic impairment in attention and processing speed, which is present during the lifespan. The impairment in processing speed is less prominent in old age, whereas the impairment of other cognitive functions becomes more relevant. These findings suggest potential differences in the pathophysiological processes associated with cognitive impairment between young and old ages that warrant further investigation.