Benefits in Alzheimer's Disease of Sensory and Multisensory Stimulation.

Alzheimer's disease (AD) is a serious neurodegenerative disease, which seriously affects the behavior, cognition, and memory of patients. Studies have shown that sensory stimulation can effectively improve the cognition and memory of AD patients, and its role in brain plasticity and neural regulation is initially revealed. This paper aims to review the effect of various sensory stimulation and multisensory stimulation for AD, and to explain the possible mechanism, so as to provide some new ideas for further research in this field. We searched the Web of Science and PubMed databases (from 2000 to October 27, 2020) for literature on the treatment of AD with sensory and multisensory stimulation, including music therapy, aromatherapy, rhythmic (e.g., visual or acoustic) stimulation, light therapy, multisensory stimulation, and virtual reality assisted therapy, then conducted a systematic analysis. Results show these sensory and multisensory stimulations can effectively ameliorate the pathology of AD, arouse memory, and improve cognition and behaviors. What's more, it can cause brain nerve oscillation, enhance brain plasticity, and regulate regional cerebral blood flow. Sensory and multisensory stimulation are very promising therapeutic methods, and they play an important role in the improvement and treatment of AD, but their potential mechanism and stimulation parameters need to be explored and improved.

The superior parietal lobule of primates: a sensory-motor hub for interaction with the environment.

The superior parietal lobule of the macaque monkey occupies the postero-medial part of the parietal lobe and plays a crucial role in the integration of different sources of information (from visual, motor and somatosensory brain regions) for the purpose of high-level cognitive functions, as perception for action. This region encompasses the intraparietal sulcus and the parieto-occipital sulcus and includes also the precuneate cortex in the mesial surface of the hemisphere. It hosts several areas extensively studied in the macaque: PE, PEip, PEci anteriorly and PEc, MIP, PGm and V6A posteriorly. Recently studies based on functional MRI have suggested putative human homologue of some of the areas of the macaque superior parietal lobule. Here we review the anatomical subdivision, the cortico-cortical and thalamo-cortical connections of the macaque superior parietal lobule compared with their functional properties and the homology with human organization in physiological and lesioned situations. The knowledge of this part of the macaque brain could help in understanding pathological conditions that in humans affect the normal behaviour of arm-reaching actions and can inspire brain computer interfaces performing in more accurate ways the sensorimotor transformations needed to interact with the surrounding environment.

The Effects of Using Imagery to Elicit an External Focus of Attention.

Background: An external focus of attention has been shown to be superior to adopting an internal focus of attention in a variety of motor skills. Purpose: To examine the efficacy of directing attention externally toward an imagined object when performing the standing long jump. This form of practice was compared to a group of participants that practiced the same motor skill while directing their attention toward an object that was physically present in the practice environment. Method: All participants performed a series of standing long-jumps on a rubber mat. Participants were randomly assigned to either an external focus condition where they were instructed to jump as close as possible to a cone that was directly in front of them. Or they were assigned to an imagery condition in which they were instructed to jump toward an imagined cone. Following acquisition trials, a 24-hr retention and transfer test was completed by all participants. Results: Significant improvement was demonstrated by both groups during acquisition, retention and transfer phases compared to the baseline measure. However, no significant differences were observed between the two experimental conditions. Conclusion: The findings of this experiment demonstrate that attention directed externally toward a physical object and an imagined object has a similar effect.

Examining the Effectiveness of WhatsApp-Based Spiritual Posts on Mitigating Stress and Building Resilience, Maternal Confidence and Self-efficacy Among Mothers of Children with ASD.

Spiritual posts delivered via WhatsApp were found effective for mothers of children with ASD in mitigating parenting stress and building parental self-efficacy, confidence and resilience as compared to a control group. Intervention compliance was a prerequisite, and, middle-class mothers, highly qualified, salaried/self-employed, who perceived full support from their spouses/families and who also participated in other support groups or skill development programs benefitted most. Latent class analyses revealed six subgroups of participants likely to gain most from the intervention: middle class mothers, highly qualified, salaried/self-employed, who participated in other skill development programs, above threshold posts readers and homework doers. Spirituality built mothers' psychological resources, but dyadic interventions may be needed for dealing with challenges and uncertainties of autistic child's emotional/behavioral characteristics.

Temporal Expectation Hastens Decision Onset But Does Not Affect Evidence Quality.

The ability to predict the timing of forthcoming events, known as temporal expectation, has a strong impact on human information processing. Although there is growing consensus that temporal expectations enhance the speed and accuracy of perceptual decisions, it remains unclear whether they affect the decision process itself, or non-decisional (sensory/motor) processes. Here, healthy human participants (N = 21; 18 female) used predictive auditory cues to anticipate the timing of low-contrast visual stimuli they were required to detect. Modeling of the behavioral data using a prominent sequential sampling model indicated that temporal expectations speeded up non-decisional processes but had no effect on decision formation. Electrophysiological recordings confirmed and extended this result: temporal expectations hastened the onset of a neural signature of decision formation but had no effect on its build-up rate. Anticipatory α band power was modulated by temporal expectation and co-varied with intrinsic trial-by-trial variability in behavioral and neural signatures of the onset latency of the decision process. These findings highlight how temporal predictions optimize our interaction with unfolding sensory events.SIGNIFICANCE STATEMENT Temporal expectation enhances performance, but the locus of this effect remains debated. Here, we contrasted the two dominant accounts: enhancement through (1) expedited decision onset, or (2) an increase in the quality of sensory evidence. We manipulated expectations about the onset of a dim visual target using a temporal cueing paradigm, and probed the locus of the expectation effect with two complementary approaches: drift diffusion modeling (DDM) of behavior, and estimation of the onset and progression of the decision process from a supramodal accumulation-to-bound signal in simultaneously measured EEG signals. Behavioral modeling and neural data provided strong, converging evidence for an account in which temporal expectations enhance perception by speeding up decision onset, without affecting evidence quality.

Linguistic Structure and Meaning Organize Neural Oscillations into a Content-Specific Hierarchy.

Neural oscillations track linguistic information during speech comprehension (Ding et al., 2016; Keitel et al., 2018), and are known to be modulated by acoustic landmarks and speech intelligibility (Doelling et al., 2014; Zoefel and VanRullen, 2015). However, studies investigating linguistic tracking have either relied on non-naturalistic isochronous stimuli or failed to fully control for prosody. Therefore, it is still unclear whether low-frequency activity tracks linguistic structure during natural speech, where linguistic structure does not follow such a palpable temporal pattern. Here, we measured electroencephalography (EEG) and manipulated the presence of semantic and syntactic information apart from the timescale of their occurrence, while carefully controlling for the acoustic-prosodic and lexical-semantic information in the signal. EEG was recorded while 29 adult native speakers (22 women, 7 men) listened to naturally spoken Dutch sentences, jabberwocky controls with morphemes and sentential prosody, word lists with lexical content but no phrase structure, and backward acoustically matched controls. Mutual information (MI) analysis revealed sensitivity to linguistic content: MI was highest for sentences at the phrasal (0.8-1.1 Hz) and lexical (1.9-2.8 Hz) timescales, suggesting that the delta-band is modulated by lexically driven combinatorial processing beyond prosody, and that linguistic content (i.e., structure and meaning) organizes neural oscillations beyond the timescale and rhythmicity of the stimulus. This pattern is consistent with neurophysiologically inspired models of language comprehension (Martin, 2016, 2020; Martin and Doumas, 2017) where oscillations encode endogenously generated linguistic content over and above exogenous or stimulus-driven timing and rhythm information.SIGNIFICANCE STATEMENT Biological systems like the brain encode their environment not only by reacting in a series of stimulus-driven responses, but by combining stimulus-driven information with endogenous, internally generated, inferential knowledge and meaning. Understanding language from speech is the human benchmark for this. Much research focuses on the purely stimulus-driven response, but here, we focus on the goal of language behavior: conveying structure and meaning. To that end, we use naturalistic stimuli that contrast acoustic-prosodic and lexical-semantic information to show that, during spoken language comprehension, oscillatory modulations reflect computations related to inferring structure and meaning from the acoustic signal. Our experiment provides the first evidence to date that compositional structure and meaning organize the oscillatory response, above and beyond prosodic and lexical controls.

Neural dynamics of perceptual inference and its reversal during imagery.

After the presentation of a visual stimulus, neural processing cascades from low-level sensory areas to increasingly abstract representations in higher-level areas. It is often hypothesised that a reversal in neural processing underlies the generation of mental images as abstract representations are used to construct sensory representations in the absence of sensory input. According to predictive processing theories, such reversed processing also plays a central role in later stages of perception. Direct experimental evidence of reversals in neural information flow has been missing. Here, we used a combination of machine learning and magnetoencephalography to characterise neural dynamics in humans. We provide direct evidence for a reversal of the perceptual feed-forward cascade during imagery and show that, during perception, such reversals alternate with feed-forward processing in an 11 Hz oscillatory pattern. Together, these results show how common feedback processes support both veridical perception and mental imagery.

Adaptive Information Processing Theory: Origins, Principles, Applications, and Evidence.

This paper describes the origins, principles, applications, and evidence related to Adaptive Information Processing (AIP) theory. AIP theory provides the theoretical underpinning of Eye Movement Desensitization and Reprocessing (EMDR) therapy. AIP theory was developed to explain the observed results of EMDR therapy delivered to individuals experiencing trauma and PTSD. The AIP model hypothesizes that maladaptively stored memories of trauma create obstacles to rational processing of information, which occurs in the prefrontal cortex area of the brain. Bilateral stimulation, through eye movements or other mechanisms, is hypothesized to remove the obstacles and permit complete processing of the memory, leading to a reduction in trauma symptoms. EMDR therapy, with the AIP model as rationale, has been effectively used in the treatment of PTSD. Evidence in support of AIP theory is emerging as some promising results have been shown in studies that rely on measuring various types of physiological changes that occur during EMDR therapy.

Zen meditation neutralizes emotional evaluation, but not implicit affective processing of words.

There is ample evidence that meditation can regulate emotions. It is questionable, however, whether meditation can down-regulate sensitivity to emotional experience in high-level cognitive representations such as words. The present study shows that adept Zen meditators rated the emotional valence of (low-arousal) positive and (high- and low-arousal) negative nouns significantly more neutral after a meditation session, while there was no change of valence ratings after a comparison intervention in the comparison group. Because the Zen group provided greater "openness to experience" and lower "need for achievement and performance" in the "Big Five" personality assessment, we used these scores as covariates for all analyses. We found no differential emotion effects of Zen meditation during lexical decision, but we replicated the slow-down of low-arousal negative words during lexical decision in both groups. Interestingly, Zen meditation elicited a global facilitation of all response times, which we discuss in terms of increased attentional resources after meditation.

Mental state space visualization for interactive modeling of personalized BCI control strategies.

OBJECTIVE: Numerous studies in the area of BCI are focused on the search for a better experimental paradigm-a set of mental actions that a user can evoke consistently and a machine can discriminate reliably. Examples of such mental activities are motor imagery, mental computations, etc. We propose a technique that instead allows the user to try different mental actions in the search for the ones that will work best. APPROACH: The system is based on a modification of the self-organizing map (SOM) algorithm and enables interactive communication between the user and the learning system through a visualization of user's mental state space. During the interaction with the system the user converges on the paradigm that is most efficient and intuitive for that particular user. MAIN RESULTS: Results of the two experiments, one allowing muscular activity, another permitting mental activity only, demonstrate soundness of the proposed method and offer preliminary validation of the performance improvement over the traditional closed-loop feedback approach. SIGNIFICANCE: The proposed method allows a user to visually explore their mental state space in real time, opening new opportunities for scientific inquiry. The application of this method to the area of brain-computer interfaces enables more efficient search for the mental states that will allow a user to reliably control a BCI system.

Processing of Real-World, Dynamic Natural Stimuli in Autism is Linked to Corticobasal Function.

Many individuals with autism spectrum disorder (ASD) have been shown to perceive everyday sensory information differently compared to peers without autism. Research examining these sensory differences has primarily utilized nonnatural stimuli or natural stimuli using static photos with few having utilized dynamic, real-world nonverbal stimuli. Therefore, in this study, we used functional magnetic resonance imaging to characterize brain activation of individuals with high-functioning autism when viewing and listening to a video of a real-world scene (a person bouncing a ball) and anticipating the bounce. We investigated both multisensory and unisensory processing and hypothesized that individuals with ASD would show differential activation in (a) primary auditory and visual sensory cortical and association areas, and in (b) cortical and subcortical regions where auditory and visual information is integrated (e.g. temporal-parietal junction, pulvinar, superior colliculus). Contrary to our hypotheses, the whole-brain analysis revealed similar activation between the groups in these brain regions. However, compared to controls the ASD group showed significant hypoactivation in the left intraparietal sulcus and left putamen/globus pallidus. We theorize that this hypoactivation reflected underconnectivity for mediating spatiotemporal processing of the visual biological motion stimuli with the task demands of anticipating the timing of the bounce event. The paradigm thus may have tapped into a specific left-lateralized aberrant corticobasal circuit or loop involved in initiating or inhibiting motor responses. This was consistent with a dual "when versus where" psychophysical model of corticobasal function, which may reflect core differences in sensory processing of real-world, nonverbal natural stimuli in ASD. Autism Res 2020, 13: 539-549. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: To understand how individuals with autism perceive the real-world, using magnetic resonance imaging we examined brain activation in individuals with autism while watching a video of someone bouncing a basketball. Those with autism had similar activation to controls in auditory and visual sensory brain regions, but less activation in an area that processes information about body movements and in a region involved in modulating movements. These areas are important for understanding the actions of others and developing social skills.

Temporal and spatial characteristics of meditation EEG.

OBJECTIVE: This article discusses the importance of decisions made about the temporal and spatial characteristics of EEG during recording and analysis of meditation practices. ISSUE: A recent meta-analysis averaged EEG in the alpha1 and alpha2 bands to characterize mindfulness practices. This ignored known differences in cognitive processing associated with these two bands, and so confounded their conclusion about brain patterns during mindfulness. Another paper averaged EEG from central electrodes, which reflect activity of motor cortices, and frontal electrodes, which reflect activity of the frontal association cortices, to characterize Transcendental Meditation practice. This averaged the signals from motor and frontal cortices, which respond to different behaviors, and so confounded any conclusion about the nature of brain patterns during Transcendental Meditation practice. Also, both of these papers reported power-derived measures. This misses the connectivity information that is captured in coherence analysis. CONCLUSION: Meditation researchers should (a) investigate narrow frequency bands, especially theta1, theta2, alpha1 and alpha2, which are known to reflect different cognitive processes, (b) average EEG over theoretically known spatial areas, and (c) employ power as well as coherence analysis to more accurately define different categories of meditation practices and more reliably apply meditation practices to specific subject populations. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Happy emotion cognition of bimodal audiovisual stimuli optimizes the performance of the P300 speller.

OBJECTIVE: Prior studies of emotional cognition have found that emotion-based bimodal face and voice stimuli can elicit larger event-related potential (ERP) amplitudes and enhance neural responses compared with visual-only emotional face stimuli. Recent studies on brain-computer interface have shown that emotional face stimuli have significantly improved the performance of the traditional P300 speller system, but its performance needs to be further improved for practical applications. Therefore, we herein propose a novel audiovisual P300 speller based on bimodal emotional cognition to further improve the performance of the P300 system. METHODS: The audiovisual P300 speller we proposed is based on happy emotions, with visual and auditory stimuli that consist of several pairs of smiling faces and audible chuckles (E-AV spelling paradigm) of different ages and sexes. The control paradigm was the visual-only emotional face P300 speller (E-V spelling paradigm). RESULTS: We compared the ERP amplitudes, accuracy, and raw bit rate between the E-AV and E-V spelling paradigms. The target stimuli elicited significantly increased P300 amplitudes (p < .05) and P600 amplitudes (p < .05) in the E-AV spelling paradigm compared with those in the E-V paradigm. The E-AV spelling paradigm also significantly improved the spelling accuracy and the raw bit rate compared with those in the E-V paradigm at one superposition (p < .05) and at two superpositions (p < .05). SIGNIFICANCE: The proposed emotion-based audiovisual spelling paradigm not only significantly improves the performance of the P300 speller, but also provides a basis for the development of various bimodal P300 speller systems, which is a step forward in the clinical application of brain-computer interfaces.

Development of a robust asynchronous brain-switch using ErrP-based error correction.

OBJECTIVE: The ultimate goal of many brain-computer interface (BCI) research efforts is to provide individuals with severe motor impairments with a communication channel that they can control at will. To achieve this goal, an important system requirement is asynchronous control, whereby users can initiate intentional brain activation in a self-paced rather than system-cued manner. However, to date, asynchronous BCIs have been explored in a minority of BCI studies and their performance is generally below that of system-paced alternatives. In this paper, we present an asynchronous electroencephalography (EEG) BCI that detects a non-motor imagery cognitive task and investigated the possibility of improving its performance using error-related potentials (ErrP). APPROACH: Ten able-bodied adults attended two sessions of data collection each, one for training and one for testing the BCI. The visual interface consisted of a centrally located cartoon icon. For each participant, an asynchronous BCI differentiated among the idle state and a personally selected cognitive task (mental arithmetic, word generation or figure rotation). The BCI continuously analyzed the EEG data stream and displayed real-time feedback (i.e. icon fell over) upon detection of brain activity indicative of a cognitive task. The BCI also monitored the EEG signals for the presence of error-related potentials following the presentation of feedback. An ErrP classifier was invoked to automatically alter the task classifier outcome when an error-related potential was detected. MAIN RESULTS: The average post-error correction trial success rate across participants, 85% [Formula: see text] 12%, was significantly higher (p  < 0.05) than that pre-error correction (78% [Formula: see text] 11%). SIGNIFICANCE: Our findings support the addition of ErrP-correction to maximize the performance of asynchronous BCIs..

Predictive coding in a multisensory path integration task: An fMRI study.

During self-motion through an environment, our sensory systems are confronted with a constant flow of information from different modalities. To successfully navigate, self-induced sensory signals have to be dissociated from externally induced sensory signals. Previous studies have suggested that the processing of self-induced sensory information is modulated by means of predictive coding mechanisms. However, the neural correlates of processing self-induced sensory information from different modalities during self-motion are largely unknown. Here, we asked if and how the processing of visually simulated self-motion and/or associated auditory stimuli is modulated by self-controlled action. Participants were asked to actively reproduce a previously observed simulated self-displacement (path integration). Blood oxygen level-dependent (BOLD) activation during this path integration was compared with BOLD activation during a condition in which we passively replayed the exact sensory stimulus that had been produced by the participants in previous trials. We found supramodal BOLD suppression in parietal and frontal regions. Remarkably, BOLD contrast in sensory areas was enhanced in a modality-specific manner. We conclude that the effect of action on sensory processing is strictly dependent on the respective behavioral task and its relevance.

Multiclass Support Matrix Machines by Maximizing the Inter-Class Margin for Single Trial EEG Classification.

Accurate classification of Electroencephalogram (EEG) signals plays an important role in diagnoses of different type of mental activities. One of the most important challenges, associated with classification of EEG signals is how to design an efficient classifier consisting of strong generalization capability. Aiming to improve the classification performance, in this paper, we propose a novel multiclass support matrix machine (M-SMM) from the perspective of maximizing the inter-class margins. The objective function is a combination of binary hinge loss that works on C matrices and spectral elastic net penalty as regularization term. This regularization term is a combination of Frobenius and nuclear norm, which promotes structural sparsity and shares similar sparsity patterns across multiple predictors. It also maximizes the inter-class margin that helps to deal with complex high dimensional noisy data. The extensive experiment results supported by theoretical analysis and statistical tests show the effectiveness of the M-SMM for solving the problem of classifying EEG signals associated with motor imagery in brain-computer interface applications.

The posterior semantic asymmetry (PSA): specific to written not auditory semantic word processing.

The present study replicates the finding of a posterior semantic asymmetry (PSA; Koppehele-Gossel et al., Brain Lang 157-158:35-43, 2016), a lateralized event-related potential (ERP) suggested to reflect semantic activation from visually presented single words. This ERP negativity, derived from the subtraction of right-side from left-side scalp activity, again peaked around 300 ms at temporoparietal electrodes and was more pronounced in a semantic task, compared to both a silent naming task and a passive viewing task. With analogous tasks, no comparable negativity was found for auditorily presented words. This suggests that the PSA specifically reflects visual-verbal semantic activation. For auditory words, a later variation with the demands on semantic processing was observed for a left-lateralized late positive potential (500-800 ms), which, however, showed a remarkably similar topography as the PSA. Thus, while semantic processing of visual and auditory words converges on left temporoparietal brain areas, the exact patterns of brain electrical activation in terms of time course and polarity are different.

Heterogeneity in human retrosplenial cortex: A review of function and connectivity.

Retrosplenial cortex (RSC) is an important information hub in the brain and several mental disorders demonstrate RSC dysfunction, but its role is still largely unclear. Although researchers in many cognitive domains have recognized the importance of RSC, a broader synthesis of RSC function across cognitive domains is lacking. This review examines human RSC function across several cognitive domains, considering both specific cognitive functions and the RSC subregions in which that function occurs. Overall, this review found evidence for a functional gradient across the anterior-posterior axis of RSC involving several cognitive domains. Within the cognitive realm of navigation, RSC is important for path integration (including head direction), landmark processing, and the transformation between viewpoints. The related cognitive domain of scene processing encompasses information about place recognition and spatial context. Both navigation and scene processing are localized to more posterior subregions of RSC. Episodic memory (particularly episodic recall), mental imagery, and self-referential processing tend to be supported by anterior portions of RSC. The heterogeneity of RSC function is consistent with RSC anatomy and connectivity found in animal models. Finally, this review examines several common themes that emerged, including mental imagery and self-referential processing. Both the functional heterogeneity and the common themes of RSC function could provide new avenues for research and insight into the numerous mental disorders characterized by RSC dysfunction. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Segregating polymorphism in the NMDA receptor gene GRIN2A, schizotypy, and mental rotation among healthy individuals.

Common alleles associated with psychiatric disorders are often regarded as deleterious genes that influence vulnerability to disease, but they may also be considered as mediators of variation in adaptively structured cognitive phenotypes among healthy individuals. The schizophrenia-associated gene GRIN2A (glutamate ionotropic receptor NMDA type subunit 2a) codes for a protein subunit of the NMDA (N-methyl-D-aspartate) receptor that underlies central aspects of human cognition. Pharmacological NMDA blockage recapitulates the major features of schizophrenia in human subjects, and represents a key model for the neurological basis of this disorder. We genotyped two functional GRIN2A polymorphisms in a large population of healthy individuals who were scored for schizotypy and mental imagery/manipulation (the mental rotation test). Rare-allele homozygosity of the promoter microsatellite rs3219790 was associated with high total schizotypy (after adjustment for multiple comparisons) and with enhanced mental rotation ability (nominally, but not after adjustment for multiple comparisons), among males. These findings provide preliminary evidence regarding a genetic basis to previous reports of enhanced mental imagery in schizophrenia and schizotypy. The results also suggest that some schizophrenia-related alleles may be subject to cognitive tradeoffs involving both positive and negative effects on psychological phenotypes, which may help to explain the maintenance of psychiatric-disorder risk alleles in human populations.

Expertise-Level-Dependent Functionally Plastic Changes During Motor Imagery in Basketball Players.

Motor imagery is the mental process of rehearsing or simulating a given action without overt movements. The aim of the present study is to examine plastic changes in relevant brain areas during motor imagery with increasing expertise level. Subjects (novices, intermediate and elite players) performed motor imagery of basketball throws under two experimental conditions (with-ball and without-ball). We found that all basketball players exhibited better temporal congruence (between motor imagery and motor execution) and higher vividness of motor imagery than novices. The vividness of motor imagery was higher for the with-ball than for the without-ball conditions in all three subject groups. The results from functional magnetic resonance imaging (fMRI) showed three different patterns of cortical activation. Activation in the left middle frontal gyrus increased and that in the left supplementary motor area decreased with increasing levels of motor expertise. Importantly, brain activation in the left postcentral gyrus was the highest in the intermediate players compared to both novices and elite players. For the elite group, these three areas showed higher activation in the without-ball condition than the with-ball condition, while the opposite trend was found in intermediate players. Our findings suggest that the level of motor expertise may be related to high-order brain functions that are linked to different activation patterns in different brain areas.