Spontaneous neural activity underlying neutral and happy speech recognition in noise and its association with psychiatric symptoms in patients with schizophrenia.

BACKGROUND: Deficits in speech and emotion perception are intertwined with psychiatric symptoms. How the happy prosody embedded in speech affects target speech-in-noise recognition (TSR) and relates to psychiatric symptoms in patients with schizophrenia (SCHs) remains unclear. This study examined spontaneous brain activity underlying happy TSR and its association with psychiatric symptom dimensions in SCHs. METHODS: Fifty-four SCHs and 59 healthy control participants (HCs) underwent the TSR task, Positive and Negative Syndrome Scale (PANSS) assessment, and magnetic resonance imaging scanning. Multivariate analyses of partial least squares (PLS) regression were used to explore the associations between whole-brain fractional amplitude of low-frequency fluctuations (fALFF), happy-neutral TSR (target pseudo-sentences were uttered in happy and neutral prosodies), and five PANSS factor scores (excitement/hostility, depression/anxiety, cognition, positive, and negative). RESULTS: The happy prosody did not alter TSR or TSR changing rates in either SCHs or HCs. SCHs exhibited lower happy and neutral TSR than HCs. A fALFF PLS component (including precentral/postcentral gyrus, Subcallosal Cortex, several temporal regions, and cerebellum) was associated with happy and neutral TSR. SCHs demonstrated higher PLS fALFF scores and PLS TSR scores than HCs. In SCHs, PLS fALFF scores were correlated with the PANSS positive factor score, and PLS TSR scores were correlated with the PANSS cognition factor score. CONCLUSIONS: The positive-psychiatric-symptoms-related spontaneous activity profile was associated with happy and neutral TSR, contributing to the cognition psychiatric symptoms dimension. The findings suggest the potential to improve positive and cognitive symptoms by enhancing happy and neutral TSR in schizophrenia based on neuroplasticity.

Global µ-synchronization for coupling delayed complex dynamical networks via event-triggered delayed impulsive control.

This paper mainly focuses on solving the global µ-synchronization issue of complex dynamical networks (CDNs) by a novel event-triggered impulsive control (ETIC) method with time delays. This method combines the advantages of impulsive control and event-triggered control and gets rid of the limitation that the Lyapunov function decreases strictly monotonically with the sequence of event triggers. An event-triggered mechanism is specifically designed to realize µ-synchronization for CDNs in this paper, which means that event-triggered control has been applied to µ-synchronization field for the first time. Compared with periodic impulsive control, ETIC only produces control effects when the event-triggered mechanism are met, which is more in line with the actual situation. By Lyapunov-Razumikhin, recursion, etc, some valid global µ-synchronization criteria of CDNs are obtained and also Zeno behavior is avoided. Additionally, coupled delays and uncertainties are considered in CDNs. Finally, two numerical examples are shown to demonstrate the correctness of the designed ETIC strategy.

Negative-emotion-induced reduction in speech-in-noise recognition is associated with source-monitoring deficits and psychiatric symptoms in mandarin-speaking patients with schizophrenia.

BACKGROUND: Patients with schizophrenia (SCH) have deficits in source monitoring (SM), speech-in-noise recognition (SR), and auditory prosody recognition. This study aimed to test the covariation between SM and SR alteration induced by negative prosodies and their association with psychiatric symptoms in SCH. METHODS: Fifty-four SCH patients and 59 healthy controls (HCs) underwent a speech SM task, an SR task, and the assessment of positive and negative syndrome scale (PANSS). We used the multivariate analyses of partial least squares (PLS) regression to explore the associations among SM (external/internal/new attribution error [AE] and response bias [RB]), SR alteration/release induced by four negative-emotion (sad, angry, fear, and disgust) prosodies of target speech, and psychiatric symptoms. RESULTS: In SCH, but not HCs, a profile (linear combination) of SM (especially the external-source RB) was positively associated with a profile of SR reductions (induced especially by the angry prosody). Moreover, two SR reduction profiles (especially in the anger and sadness conditions) were related to two profiles of psychiatric symptoms (negative symptoms, lack of insight, and emotional disturbances). The two PLS components explained 50.4% of the total variances of the release-symptom association. CONCLUSION: Compared to HCs, SCH is more likely to perceive the external-source speech as internal/new source speech. The SM-related SR reduction induced by the angry prosody was mainly associated with negative symptoms. These findings help understand the psychopathology of SCH and may provide a potential direction to improve negative symptoms via minimizing emotional SR reduction in schizophrenia.

Effect of Exercise Cognitive Combined Training on Physical Function in Cognitively Healthy Older Adults: A Systematic Review and Meta-Analysis.

This study aimed to evaluate the effects of exercise cognitive combined training (ECCT) compared with non-ECCT on physical function in cognitively healthy older adults. Databases were searched for randomized controlled trials from inception to December 2, 2021, and 22 studies (1,091 participants, Mage = 74.90) were included in the meta-review. The Cochrane Risk of Bias and Grading of Recommendations Assessment, Development, and Evaluation tools were used for quality assessments. ECCT improved gait speed (mean difference: 0.06 m/s, 95% CI [confidence interval] [0.02, 0.11]; 446 participants, 11 studies) and balance (standardized mean difference: 0.38, 95% CI [0.14, 0.61]; 292 participants, seven studies). Simultaneous ECCT, but not nonsimultaneous ECCT, improved gait speed (mean difference: 0.11 m/s, 95% CI [0.07, 0.15]), balance (standardized mean difference: 0.40, 95% CI [0.16, 0.64]), and functional mobility (mean difference: -0.85 s, 95% CI [-1.63, -0.07]; 327 participants, nine studies). Future research should focus on the duration and form of ECCT intervention optimal for improving the functional activities of older individuals.

The Mandarin Chinese auditory emotions stimulus database: A validated set of Chinese pseudo-sentences.

Emotional prosody is fully embedded in language and can be influenced by the linguistic properties of a specific language. Considering the limitations of existing Chinese auditory stimulus database studies, we developed and validated an emotional auditory stimuli database composed of Chinese pseudo-sentences, recorded by six professional actors in Mandarin Chinese. Emotional expressions included happiness, sadness, anger, fear, disgust, pleasant surprise, and neutrality. All emotional categories were vocalized into two types of sentence patterns, declarative and interrogative. In addition, all emotional pseudo-sentences, except for neutral, were vocalized at two levels of emotional intensity: normal and strong. Each recording was validated with 40 native Chinese listeners in terms of the recognition accuracy of the intended emotion portrayal; finally, 4361 pseudo-sentence stimuli were included in the database. Validation of the database using a forced-choice recognition paradigm revealed high rates of emotional recognition accuracy. The detailed acoustic attributes of vocalization were provided and connected to the emotion recognition rates. This corpus could be a valuable resource for researchers and clinicians to explore the behavioral and neural mechanisms underlying emotion processing of the general population and emotional disturbances in neurological, psychiatric, and developmental disorders. The Mandarin Chinese auditory emotion stimulus database is available at the Open Science Framework ( https://osf.io/sfbm6/?view_only=e22a521e2a7d44c6b3343e11b88f39e3 ).

Visual Affective Stimulus Database: A Validated Set of Short Videos.

Two hundred and ninety-nine videos representing four categories (people, animals, objects, and scenes) were standardized using Adobe Premiere Pro CC 2018, with a unified duration of 3 s, a resolution of 1080 pixels/inch, and a size of 1920 × 1080 mm2. One-hundred and sixteen participants (mean age 22.60 ± 2.06 years; 51 males) assessed the videos by scoring, on a self-reported 9-point scale, three dimensions of emotion: valence, arousal, and dominance. The content was attributed a specific valence (positive, neutral, or negative) if more than 60% of the participants identified it with an emotion category. Results: In total, 242 short videos, including 112 positive videos, 47 neutral videos, and 83 negative videos, were retained in the video stimuli database. In the three-dimensional degree of emotion, the distribution relationship between them conformed to the fundamental characteristics of emotion. The internal consistency reliability coefficient for valence, arousal, and dominance was 0.968, 0.984, and 0.970. The internal consistency reliability of the emotional dimensions for people and faces, animals, objects, and scenes ranged between 0.799 and 0.968. Conclusions: The emotion short-video system contains multi-scene dynamic stimuli with good reliability and scoring distribution and is applicable in emotion and emotion-related research.

Human-computer interaction based interface design of intelligent health detection using PCANet and multi-sensor information fusion.

BACKGROUND AND OBJECTIVE: At present, because health monitoring using human-computer interaction (HCI) has become a demand in society, an intelligent health detector with HCI characteristics is urgently needed. Our device and software framework can provide natural human-machine interaction and facilitate the use of effective, efficient and safe electronic equipment for health detection. This paper integrates the research results of human subjects testing with analysis of our computational algorithms to build the proposed interaction platform. METHODS: We collected the pulse signals of normal and sub-health people and used them as pre-processed signals. Then, we input them into the Principal Componcent Analysis Network (PCANet) layer by layer, and extracted the corresponding mapping features in each layer. The extracted features are hash coded, and histogram blocks are used as the feature matrix. Next, the accuracy obtained by the classical classifier is compared with the classification results of other feature extraction methods. The HCI integrated intelligent health detector based on PCANet neural network and multi-sensor information fusion has significantly improved the accuracy of human health detection. RESULTS: The experimental results show that the proposed method achieves high accuracy for sub-health state recognition. Compared with the traditional feature extraction method, our PCANet method improves the recognition rate by more than 10%, which proves the effectiveness of PCANet model in the field of sub-health pulse signal detection. Because the PCANet is a multi-layer architecture model, in order to verify the influence of the number of extended network layers on the experimental results, experiments are carried out on the three-layer architectures represented by PCANet-1, PCANet-2 and PCANet-3 respectively. The Experimental results show that PCANet-3 model is 2.4% higher than PCANet-1, but only 0.6% higher than PCANet-2. The running time is about 2 times and 1.6 times higher than that of PCANet-1 and PCANet-2; Compared with traditional feature extraction algorithms such as MP and Gabor transform, the accuracy of pcanet model in pulse signal sub-health detection is significantly improved. Therefore, this product can effectively distinguish between the health and sub-health states. CONCLUSION: Our research shows that the intelligent health detector is efficient and convenient to use, and has higher accuracy for health detection. The HCI integrated platform provides a new reference basis for the detection of sub-health state.

Auditory emotion recognition deficits in schizophrenia: A systematic review and meta-analysis.

BACKGROUND: Auditory emotion recognition (AER) deficits refer to the abnormal identification and interpretation of tonal or prosodic features that transmit emotional information in sounds or speech. Evidence suggests that AER deficits are related to the pathology of schizophrenia. However, the effect size of the deficit in specific emotional category recognition in schizophrenia and its association with psychotic symptoms have never been evaluated through a meta-analysis. METHODS: A systematic search for literature published in English or Chinese until November 30, 2020 was conducted in PubMed, Embase, Web of Science, PsychINFO, and China National Knowledge Infrastructure (CNKI), WanFang and Weip Databases. AER differences between patients and healthy controls (HCs) were assessed by the standardized mean differences (SMDs). Subgroup analyses were conducted for the type of emotional stimuli and the diagnosis of schizophrenia or schizoaffective disorders (Sch/SchA). Meta-regression analyses were performed to assess the influence of patients' age, sex, illness duration, antipsychotic dose, positive and negative symptoms on the study SMDs. RESULTS: Eighteen studies containing 615 psychosis (Sch/SchA) and 488 HCs were included in the meta-analysis. Patients exhibited moderate deficits in recognizing the neutral, happy, sad, angry, fear, disgust, and surprising emotion. Neither the semantic information in the auditory stimuli nor the diagnosis subtype affected AER deficits in schizophrenia. Sadness, anger, and disgust AER deficits were each positively associated with negative symptoms in schizophrenia. CONCLUSIONS: Patients with schizophrenia have moderate AER deficits, which were associated with negative symptoms. Rehabilitation focusing on improving AER abilities may help improve negative symptoms and the long-term prognosis of schizophrenia.

The mediating and moderating effects of depression on the relationship between cognitive function and difficulty in activities of daily living among postmenopausal women.

OBJECTIVE: Cognitive function and depression impact critically the daily functioning of menopausal women. This study aimed to explore the mediating and moderating effects of depressive symptoms on the association between cognitive function and activities of daily living (ADL) difficulty in postmenopausal women. METHODS: A total of 2,596 postmenopausal women from the China Health and Retirement Longitudinal Study completed the Chinese version of the Mini-Mental State Examination, basic ADL (BADL) and instrumental ADL (IADL) scales, and 10-item Short-Form Center for Epidemiological Studies Depression. We constructed structural equation modeling to examine the association between cognitive function, depressive symptoms, and BADL/IADL difficulty. RESULTS: The prevalence of BADL/IADL difficulty in postmenopausal women was 22.5% and 31.5%, respectively. After adjustments for demographic and health-related covariates, cognitive decline (contributed by four cognitive dimensions with different weights) was significantly associated with BADL/IADL difficulty (contributed by six-item daily activities with different weights). Depressive symptoms mediated and explained 28.8% and 23.2% of cognitive function associations with BADL and IADL difficulty, respectively. The Johnson-Neyman technique identified a threshold of eight and four for depressive symptoms, beyond which the protective effect of cognitive function on BADL and IADL emerged. CONCLUSIONS: Depressive symptoms mediated and moderated the association between cognition and BADL/IADL difficulty in postmenopausal women. Compared with BADL, IADL may be more sensitive to changes in cognitive function. More strength should be put on developing comprehensive intervention techniques focusing on simultaneous intervention of multidimensional cognitive function and depression to maintain and improve the quality of life of postmenopausal women.

Video Summary:http://links.lww.com/MENO/A741 .

Association between cognitive declines and disability in activities of daily living in older adults with COPD: evidence from the China health and retirement longitudinal study.

OBJECTIVES: This study aimed to investigate the relationship between disability and domain-specific cognitive function in older adults with chronic obstructive pulmonary disease (COPD). DESIGN: Cross-sectional analyses combined with retrospective longitudinal analyses. SETTING: We included 450 communities in China. PARTICIPANTS: In this study, 1022 (mean age: 68.6±6.3; 612 males) and 152 (mean age: 67.0±5.2; 83 males) older adults with COPD from the China Health and Retirement Longitudinal Study were included in a cross-sectional multivariate linear regression analysis and a longitudinal logistic regression analysis, respectively. OUTCOME MEASURES: Disability was determined by the difficulty or inability to complete 1 of the 12 activity items in basic activities of daily living (ADL) and instrumental ADL. The cognitive dimensions of episodic memory, attention/numerical ability, orientation to time, and visuospatial ability were assessed via the immediate/delayed recall task, serial sevens task, naming the current date and pentagon-figure-drawing tasks, respectively. RESULTS: Of 1022 older respondents with COPD at wave-4, 48.5% had ADL disability. Declines in the global cognitive function (ß (95% CI)=-0.627 (-1.214 to -0.040)), orientation to time (ß (95% CI)=-0.207 (-0.364 to -0.050)) and visuospatial ability (ß (95% CI)=-0.068 (-0.127 to -0.009)) were significantly associated with the presence of ADL disability, when demographic and health-related variables were adjusted. Of 152 older participants with COPD and without ADL disability in wave-2, 61 (40.1 %) developed disability over a 2-year follow-up. Relative to the participants without a decline in orientation to tine, those with the condition had greater odds of incidence of ADL disability increased by a factor of about 1.46 over a 2-year follow-up. CONCLUSIONS: In older adults with COPD, orientation to time and visuospatial inability are vulnerable to the presence of a disability. Prevention of a decline in orientation to time might help prevent disability in older people with COPD.

Stroke and food groups: an overview of systematic reviews and meta-analyses.

OBJECTIVE: Numerous systematic reviews of prospective studies on the association of stroke risk with the consumption of various food groups have been published. A review of the evidence across the existing systematic reviews and meta-analyses of prospective studies was conducted to provide an overview of the range and validity of the reported associations of food groups with stroke risk. DESIGN: The PubMed, EMBASE and Cochrane Library databases were searched for articles published up to September 2015 to identify systematic reviews of prospective studies. RESULTS: A total of eighteen studies published from 2008 to 2015 were eligible for analysis. Overall, thirteen specific foods were studied for an association with stroke outcome, including nuts, legumes, fruits and vegetables, refined grains, whole grains, dairy products, eggs, chocolate, red and/or processed meat, fish, tea, sugar-sweetened beverages and coffee. Whereas a high consumption of nuts, fruits, vegetables, dairy foods, fish and tea, and moderate consumption of coffee and chocolate demonstrated a protective effect, a high consumption of red and/or processed meat was associated with increased stroke risk. Refined grain, sugar-sweetened beverage, legume, egg and whole grain intake showed no effect on stroke outcome. CONCLUSIONS: The current overview provided a high level of evidence to support the beneficial effect of specific foods on stroke outcome. Clinicians and policy makers could inform clinical practice and policy based on this overview.

Predictors for severe acute esophagitis in lung cancer patients treated with chemoradiotherapy: a systematic review.

PURPOSE: To identify the risk factors for severe acute esophagitis (AE) in lung cancer patients undergoing chemoradiotherapy (CRT). METHODS: Articles from PubMed, EMBASE, and the Cochrane Library were searched in August 2015. Articles reporting studies of the predictors for severe AE in lung cancer patients after CRT were included. Study quality was assessed using a modified quality assessment tool that was designed previously for an observational study. The effects of studies were combined with the study quality score using a best-evidence synthesis model. Severe AE incidence was also performed using the Metafor package of R-2.11.1. RESULTS: A total of nine observational studies involving 1641 patients were included. The estimated incidence of severe AE was 14%. According to the best-evidence synthesis criteria, there were two strong-evidence risk factors for severe AE, which were the use of concurrent chemotherapy (CCT) and dose volume histogram (DVH). We also identified four limited-evidence risk factors. CONCLUSIONS: More attention should be paid to the levels of patients' esophagus function. Although there is no conclusive evidence for severe AE in lung cancer patients after CRT, the above-mentioned factors provide evidence to guide clinicians as to which patients will have severe AE and to choose an optimal prophylactic strategy.