Journal Description
Brain Sciences
Brain Sciences
is an international, peer-reviewed, open access journal on neuroscience published monthly online by MDPI.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), PubMed, PMC, Embase, PSYNDEX, CAPlus / SciFinder, and other databases.
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 12.9 days after submission; acceptance to publication is undertaken in 2.5 days (median values for papers published in this journal in the first half of 2024).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Impact Factor:
2.7 (2023);
5-Year Impact Factor:
3.0 (2023)
Latest Articles
Non-Dominant Hemisphere Excitability Is Unaffected during and after Transcranial Direct Current Stimulation of the Dominant Hemisphere
Brain Sci. 2024, 14(7), 694; https://doi.org/10.3390/brainsci14070694 (registering DOI) - 12 Jul 2024
Abstract
Transcranial direct current stimulation (tDCS) increases primary motor cortex (M1) excitability and improves motor performance when applied unilaterally to the dominant hemisphere. However, the influence of tDCS on contralateral M1 excitability both during and after application has not been quantified. The purpose was
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Transcranial direct current stimulation (tDCS) increases primary motor cortex (M1) excitability and improves motor performance when applied unilaterally to the dominant hemisphere. However, the influence of tDCS on contralateral M1 excitability both during and after application has not been quantified. The purpose was to determine the influence of tDCS applied to the dominant M1 on the excitability of the contralateral non-dominant M1. This study employed a double-blind, randomized, SHAM-controlled, within-subject crossover experimental design. Eighteen young adults performed two experimental sessions (tDCS, SHAM) in counterbalanced order separated by a one-week washout. Transcranial magnetic stimulation (TMS) was used to quantify the excitability of the contralateral M1 to which anodal tDCS was applied for 20 min with a current strength of 1 mA. Motor evoked potential (MEP) amplitudes were assessed in 5 TMS test blocks (Pre, D5, D10, D15, and Post). The Pre and Post TMS test blocks were performed immediately before and after tDCS application, whereas the TMS test blocks performed during tDCS were completed at the 5, 10, and 15 min stimulation timepoints. MEPs were analyzed with a 2 condition (tDCS, SHAM) × 5 test (Pre, D5, D10, D15, Post) within-subject ANOVA. The main effect for condition (p = 0.213), the main effect for test (p = 0.502), and the condition × test interaction (p = 0.860) were all not statistically significant. These results indicate that tDCS does not modulate contralateral M1 excitability during or immediately after application, at least under the current set of common tDCS parameters of stimulation.
Full article
(This article belongs to the Special Issue Application of Transcranial Direct Current Stimulation Based Methods in Neurological Diseases: New Advances and Perspectives)
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Open AccessArticle
The Impact of Different Exercise Modes in Fitness and Cognitive Indicators: Hybrid versus Tele-Exercise in Patients with Long Post-COVID-19 Syndrome
by
Vasileios T. Stavrou, George D. Vavougios, Kyriaki Astara, Dimitrios S. Mysiris, Glykeria Tsirimona, Eirini Papayianni, Stylianos Boutlas, Zoe Daniil, Georgios Hadjigeorgiou, Panagiotis Bargiotas and Konstantinos I. Gourgoulianis
Brain Sci. 2024, 14(7), 693; https://doi.org/10.3390/brainsci14070693 (registering DOI) - 11 Jul 2024
Abstract
The purpose of our study was to obtain evidence that an unsupervised tele-exercise program (TEgroup) via an online platform is a feasible alternative to a hybrid mode of supervised and unsupervised exercise (HEgroup) sessions for improving fitness indexes, respiratory
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The purpose of our study was to obtain evidence that an unsupervised tele-exercise program (TEgroup) via an online platform is a feasible alternative to a hybrid mode of supervised and unsupervised exercise (HEgroup) sessions for improving fitness indexes, respiratory and cognitive functions, and biomarkers of oxidative stress in patients recovering from COVID-19. Forty-nine patients with long post-COVID-19 were randomly divided into two groups (HEgroup: n = 24, age 60.0 ± 9.5 years versus TEgroup: n = 25, age 58.7 ± 9.5 years). For each patient, we collected data from body composition, oxidative stress, pulmonary function, physical fitness, and cognitive function before and after the 12-week exercise rehabilitation program (ERP). Our data showed differences in both groups before and after 12-week ERP on fitness indicators, body composition, and pulmonary function indicators. Our findings demonstrated differences between groups after 12-week ERP on adjustment in the domains of cognitive function (HEgroup increased the “visuospatial” domain: 3.2 ± 1.1 versus 3.5 ± 0.8 score, p = 0.008 and TEgroup increased the “memory” domain: 3.3 ± 1.0 versus 3.8 ± 0.5 score, p = 0.003; after 12-week ERP showed differences between groups in domain “attention” TEgroup: 4.8 ± 1.5 versus HEgroup: 3.6 ± 1.8 score, p = 0.014) and the diffusing capacity for carbon monoxide (HEgroup increased the percent of predicted values at 0.5 ± 32.3% and TEgroup at 26.0 ± 33.1%, p < 0.001). These findings may be attributed to the different ways of learning exercise programs, resulting in the recruitment of different neural circuits.
Full article
(This article belongs to the Section Social Cognitive and Affective Neuroscience)
Open AccessProtocol
Cope PPA—Adaptation of the Biographic-Narrative Approach for Persons with Primary Progressive Aphasia: Protocol for Clinical Trial Design
by
Mirjam Gauch, Sabine Corsten, Anna-Lena Köb, Oliver Tüscher, Isabel Heinrich and Katharina Geschke
Brain Sci. 2024, 14(7), 692; https://doi.org/10.3390/brainsci14070692 (registering DOI) - 11 Jul 2024
Abstract
Persons with primary progressive aphasia (PPA) often experience limitations in their quality of life (QoL). Some studies have shown positive effects of speech and language therapy on QoL in persons with PPA. However, there is still a lack of evidence for disorder-specific approaches
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Persons with primary progressive aphasia (PPA) often experience limitations in their quality of life (QoL). Some studies have shown positive effects of speech and language therapy on QoL in persons with PPA. However, there is still a lack of evidence for disorder-specific approaches for this important therapeutic goal. The biographic-narrative approach (narraktiv) has been shown to significantly improve QoL in persons with post-stroke aphasia. In the planned study, the biographic-narrative approach will be adapted for persons with PPA (Cope PPA), and its efficacy will be investigated. First, a focus group interview with five persons with PPA will be conducted to identify the wishes and needs of participants. Based on the results, the narraktiv manual according to Corsten et al. (2015) will be revised. Second, an efficacy study will be conducted according to the new Cope PPA manual with 24 persons with PPA in a waiting group control design. The primary outcome, QoL, will be assessed using questionnaires (Stroke and Aphasia Quality of Life Scale-39) and semistructured interviews. Depressive symptoms, life satisfaction and cognitive/communicative functioning will also be assessed. If Cope PPA proves efficacy, this study may help to improve the treatment of persons with PPA.
Full article
(This article belongs to the Topic Personality, Health and Well-Being among Different Age Groups)
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Open AccessReview
The Impact of Social Cognition Deficits on Quality of Life in Multiple Sclerosis: A Scoping Review
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Giulia Marafioti, Davide Cardile, Laura Culicetto, Angelo Quartarone and Viviana Lo Buono
Brain Sci. 2024, 14(7), 691; https://doi.org/10.3390/brainsci14070691 (registering DOI) - 11 Jul 2024
Abstract
Background: Multiple Sclerosis (MS) is a chronic neurological disease that affects the Central Nervous System by causing demyelination. Social cognition (SC) deficits are common among individuals with MS and can significantly impact their quality of life (QoL) due to difficulties in interpreting social
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Background: Multiple Sclerosis (MS) is a chronic neurological disease that affects the Central Nervous System by causing demyelination. Social cognition (SC) deficits are common among individuals with MS and can significantly impact their quality of life (QoL) due to difficulties in interpreting social cues and establishing meaningful relationships. Objective: This scoping review aimed to investigate SC in subjects with MS and its impact on QoL. Methods: Systematic searches were performed in PubMed, Scopus, Embase, and Web of Science databases. After reading the full text of the selected studies and applying predefined inclusion criteria, four studies were included based on pertinence and relevance to the topic. Results: The findings highlight significant associations between SC deficits, social support, fatigue, and QoL outcomes. Cognitive decline was identified as a predictive factor for SC impairment in the MS population, which affects daily activities and relationships, thereby reducing QoL. Moreover, emotional impairments such as depression and anxiety exacerbate these challenges. Enhancing social support networks may improve psychological well-being and disease management in MS. Conclusions: Although evidence is limited, assessing SC is crucial in the care pathways for MS to develop tailored psychosocial interventions that address the cognitive, emotional, and social facets of the disease, thereby improving overall outcomes and QoL.
Full article
(This article belongs to the Special Issue Clinical Management of Cognitive Disorders in Neurodegenerative Patients)
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Open AccessArticle
Effects of Transcutaneous Auricular Vagus Nerve Stimulation on the P300: Do Stimulation Duration and Stimulation Type Matter?
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Manon Giraudier, Carlos Ventura-Bort and Mathias Weymar
Brain Sci. 2024, 14(7), 690; https://doi.org/10.3390/brainsci14070690 (registering DOI) - 10 Jul 2024
Abstract
Non-invasive transcutaneous auricular vagus nerve stimulation (taVNS) has attracted increasing interest as a neurostimulation tool with potential applications in modulating cognitive processes such as attention and memory, possibly through the modulation of the locus–coeruleus noradrenaline system. Studies examining the P300 brain-related component as
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Non-invasive transcutaneous auricular vagus nerve stimulation (taVNS) has attracted increasing interest as a neurostimulation tool with potential applications in modulating cognitive processes such as attention and memory, possibly through the modulation of the locus–coeruleus noradrenaline system. Studies examining the P300 brain-related component as a correlate of noradrenergic activity, however, have yielded inconsistent findings, possibly due to differences in stimulation parameters, thus necessitating further investigation. In this event-related potential study involving 61 participants, therefore, we examined how changes in taVNS parameters, specifically stimulation type (interval vs. continuous stimulation) and duration, influence P300 amplitudes during a visual novelty oddball task. Although no effects of stimulation were found over the whole cluster and time window of the P300, cluster-based permutation tests revealed a distinct impact of taVNS on the P300 response for a small electrode cluster, characterized by larger amplitudes observed for easy targets (i.e., stimuli that are easily discernible from standards) following taVNS compared to sham stimulation. Notably, our findings suggested that the type of stimulation significantly modulated taVNS effects on the P300, with continuous stimulation showing larger P300 differences (taVNS vs. sham) for hard targets and standards compared to interval stimulation. We observed no interaction effects of stimulation duration on the target-related P300. While our findings align with previous research, further investigation is warranted to fully elucidate the influence of taVNS on the P300 component and its potential utility as a reliable marker for neuromodulation in this field.
Full article
(This article belongs to the Section Neurotechnology and Neuroimaging)
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Open AccessArticle
The Adaptation of the Communicative Effectiveness Index (CETI) into Greek: A Reliability and Validity Study
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Marina Charalambous, Phivos Phylactou, Eleftheria Antoniou, Maria Christodoulou and Maria Kambanaros
Brain Sci. 2024, 14(7), 689; https://doi.org/10.3390/brainsci14070689 - 10 Jul 2024
Abstract
The Communicative Effectiveness Index (CETI) is an informant rating scale designed to measure changes in functional communication in people with aphasia (PWA) from the carer’s perspective. It offers a comprehensive view of aphasia’s impact on everyday communication situations, aiding clinicians in designing personalized
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The Communicative Effectiveness Index (CETI) is an informant rating scale designed to measure changes in functional communication in people with aphasia (PWA) from the carer’s perspective. It offers a comprehensive view of aphasia’s impact on everyday communication situations, aiding clinicians in designing personalized intervention plans. The aim of this study was to translate and adapt the CETI into Greek (CETI-GR) and validate its psychometric properties. The CETI-GR was translated into Greek using back-translation. A pilot and a content validity study ensured its acceptability. The study involved 30 people with aphasia and 30 carers. The CETI-GR’s psychometric properties were evaluated, including internal consistency, test–retest reliability, inter-rater reliability, and validity measures. The CETI-GR demonstrated excellent internal consistency (Cronbach’s α > 0.95) and excellent inter-rater reliability (ICC ≥ 0.93). Excellent consistency was revealed when testing the CETI responses given only by PWA (α = 0.91) versus their carers (α = 0.97). Test–retest reliability was high (ICC = 0.88). Significant correlations between the CETI-GR and measures of language severity, functional communication, and quality of life supported convergent validity. The CETI-GR is a reliable tool for assessing functional communication in chronic aphasia. Its Greek adaptation enhances aphasia rehabilitation, enabling person-centered care and improving the quality of life for people with aphasia and carers.
Full article
(This article belongs to the Special Issue The Impact of Language(s), Social Environment and Culture on Brain Development and Function)
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Open AccessArticle
MutaPT: A Multi-Task Pre-Trained Transformer for Classifying State of Disorders of Consciousness Using EEG Signal
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Zihan Wang, Junqi Yu, Jiahui Gao, Yang Bai and Zhijiang Wan
Brain Sci. 2024, 14(7), 688; https://doi.org/10.3390/brainsci14070688 - 10 Jul 2024
Abstract
Deep learning (DL) has been demonstrated to be a valuable tool for classifying state of disorders of consciousness (DOC) using EEG signals. However, the performance of the DL-based DOC state classification is often challenged by the limited size of EEG datasets. To overcome
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Deep learning (DL) has been demonstrated to be a valuable tool for classifying state of disorders of consciousness (DOC) using EEG signals. However, the performance of the DL-based DOC state classification is often challenged by the limited size of EEG datasets. To overcome this issue, we introduce multiple open-source EEG datasets to increase data volume and train a novel multi-task pre-training Transformer model named MutaPT. Furthermore, we propose a cross-distribution self-supervised (CDS) pre-training strategy to enhance the model’s generalization ability, addressing data distribution shifts across multiple datasets. An EEG dataset of DOC patients is used to validate the effectiveness of our methods for the task of classifying DOC states. Experimental results show the superiority of our MutaPT over several DL models for EEG classification.
Full article
(This article belongs to the Special Issue Opportunities and Challenges in the Diagnosis and Treatment of Disorders of Consciousness)
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Open AccessReview
Neuroinflammation in Glioblastoma: Progress and Perspectives
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Xin Li, Wenting Gou and Xiaoqin Zhang
Brain Sci. 2024, 14(7), 687; https://doi.org/10.3390/brainsci14070687 - 9 Jul 2024
Abstract
Glioblastoma is the most common and malignant primary brain tumor, with high morbidity and mortality. Despite an aggressive, multimodal treatment regimen, including surgical resection followed by chemotherapy and radiotherapy, the prognosis of glioblastoma patients remains poor. One formidable challenge to advancing glioblastoma therapy
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Glioblastoma is the most common and malignant primary brain tumor, with high morbidity and mortality. Despite an aggressive, multimodal treatment regimen, including surgical resection followed by chemotherapy and radiotherapy, the prognosis of glioblastoma patients remains poor. One formidable challenge to advancing glioblastoma therapy is the complexity of the tumor microenvironment. The tumor microenvironment of glioblastoma is a highly dynamic and heterogeneous system that consists of not only cancerous cells but also various resident or infiltrating inflammatory cells. These inflammatory cells not only provide a unique tumor environment for glioblastoma cells to develop and grow but also play important roles in regulating tumor aggressiveness and treatment resistance. Targeting the tumor microenvironment, especially neuroinflammation, has increasingly been recognized as a novel therapeutic approach in glioblastoma. In this review, we discuss the components of the tumor microenvironment in glioblastoma, focusing on neuroinflammation. We discuss the interactions between different tumor microenvironment components as well as their functions in regulating glioblastoma pathogenesis and progression. We will also discuss the anti-tumor microenvironment interventions that can be employed as potential therapeutic targets.
Full article
(This article belongs to the Special Issue Advances in Neuroinflammation)
Open AccessArticle
Age-Based Developmental Biomarkers in Eye Movements: A Retrospective Analysis Using Machine Learning
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Melissa Hunfalvay, Takumi Bolte, Abhishek Singh, Ethan Greenstein, Nicholas P. Murray and Frederick Robert Carrick
Brain Sci. 2024, 14(7), 686; https://doi.org/10.3390/brainsci14070686 - 9 Jul 2024
Abstract
This study aimed to identify when and how eye movements change across the human lifespan to benchmark developmental biomarkers. The sample size comprised 45,696 participants, ranging in age from 6 to 80 years old (M = 30.39; SD = 17.46). Participants completed
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This study aimed to identify when and how eye movements change across the human lifespan to benchmark developmental biomarkers. The sample size comprised 45,696 participants, ranging in age from 6 to 80 years old (M = 30.39; SD = 17.46). Participants completed six eye movement tests: Circular Smooth Pursuit, Horizontal Smooth Pursuit, Vertical Smooth Pursuit, Horizontal Saccades, Vertical Saccades, and Fixation Stability. These tests examined all four major eye movements (fixations, saccades, pursuits, and vergence) using 89 eye-tracking algorithms. A semi-supervised, self-training, machine learning classifier was used to group the data into age ranges. This classifier resulted in 12 age groups: 6–7, 8–11, 12–14, 15–25, 26–31, 32–38, 39–45, 46–53, 54–60, 61–68, 69–76, and 77–80 years. To provide a descriptive indication of the strength of the self-training classifier, a series of multiple analyses of variance (MANOVA) were conducted on the multivariate effect of the age groups by test set. Each MANOVA revealed a significant multivariate effect on age groups (p < 0.001). Developmental changes in eye movements across age categories were identified. Specifically, similarities were observed between very young and elderly individuals. Middle-aged individuals (30s) generally showed the best eye movement metrics. Clinicians and researchers may use the findings from this study to inform decision-making on patients’ health and wellness and guide effective research methodologies.
Full article
(This article belongs to the Special Issue Contribution of Eye Movements in Assessment of Deficits and Neurorehabilitation after a Stroke)
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Open AccessArticle
Disrupted Brain Network Measures in Parkinson’s Disease Patients with Severe Hyposmia and Cognitively Normal Ability
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Karthik Siva, Palanisamy Ponnusamy and Malmathanraj Ramanathan
Brain Sci. 2024, 14(7), 685; https://doi.org/10.3390/brainsci14070685 - 8 Jul 2024
Abstract
Neuroscience has revolved around brain structural changes, functional activity, and connectivity alteration in Parkinson’s Disease (PD); however, how the network topology organization becomes altered is still unclear, specifically in Parkinson’s patients with severe hyposmia. In this study, we have examined the functional network
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Neuroscience has revolved around brain structural changes, functional activity, and connectivity alteration in Parkinson’s Disease (PD); however, how the network topology organization becomes altered is still unclear, specifically in Parkinson’s patients with severe hyposmia. In this study, we have examined the functional network topological alteration in patients affected by Parkinson’s Disease with normal cognitive ability (ODN), Parkinson’s Disease with severe hyposmia (ODP), and healthy controls (HCs) using resting-state functional magnetic resonance imaging (rsfMRI) data. We have analyzed brain topological organization using popular graph measures such as network segregation (clustering coefficient, modularity), network integration (participation coefficient, path length), small-worldness, efficiency, centrality, and assortativity. Then, we used a feature ranking approach based on the diagonal adaptation of neighborhood component analysis, aiming to determine a graph measure that is sensitive enough to distinguish between these three different groups. We noted significantly lower segregation and local efficiency and small-worldness in ODP compared to ODN and HCs. On the contrary, we did not find differences in network integration in ODP compared to ODN and HCs, which indicates that the brain network becomes fragmented in ODP. At the brain network level, a progressive increase in the DMN (Default Mode Network) was observed from healthy controls to ODN to ODP, and a continuous decrease in the cingulo-opercular network was observed from healthy controls to ODN to ODP. Further, the feature ranking approach has shown that the whole-brain clustering coefficient and small-worldness are sensitive measures to classify ODP vs. ODN, as well as HCs. Looking at the brain regional network segregation, we have found that the cerebellum and limbic, fronto-parietal, and occipital lobes have higher ODP reductions than ODN and HCs. Our results suggest network topological measures, specifically whole-brain segregation and small-worldness decreases. At the network level, an increase in DMN and a decrease in the cingulo-opercular network could be used as biomarkers to characterize ODN and ODP.
Full article
(This article belongs to the Special Issue New Approaches in the Exploration of Parkinson’s Disease)
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Open AccessArticle
Can Occupational Safety and Health Preventive Measures Taken by the Employer Influence Sleep Disturbances in Teleworkers? Results from the Quantitative Study on Working Life with COVID-19 in Latvia
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Linda Matisāne, Diāna Inga Paegle, Linda Paegle, Lāsma Akūlova, Monta Matisāne and Ivars Vanadziņš
Brain Sci. 2024, 14(7), 684; https://doi.org/10.3390/brainsci14070684 - 8 Jul 2024
Abstract
This research on sleep disturbances emerged during the COVID-19 pandemic. Our study investigated the association between self-reported sleep disturbances among teleworkers and the preventive measures employers took to improve their working environment. Answers obtained via a web survey gathered from 1086 teleworkers (517
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This research on sleep disturbances emerged during the COVID-19 pandemic. Our study investigated the association between self-reported sleep disturbances among teleworkers and the preventive measures employers took to improve their working environment. Answers obtained via a web survey gathered from 1086 teleworkers (517 in the spring of 2021 and 569 in the spring of 2022) were analysed. The odds of self-reported sleep disturbances were significantly higher for all preventive measures in the group of respondents reporting a lack of a particular measure. The highest odds ratios were observed for the statement “My employer identified conditions where I am teleworking” (adjusted OR = 2.98, 95% CI 2.10–4.23) and “Online team-building events were organised” (adjusted OR = 2.85, 95% CI 1.88–4.35). The results of our study have revealed that workplace interventions that serve as a mediator for sleep disorders, even if they are not directly targeted at managing sleep disturbances or stress, can reduce the number of teleworkers reporting sleep disturbances. According to our knowledge, this is the first study reporting the effectiveness of employer interventions that help teleworkers manage their sleep disturbances.
Full article
(This article belongs to the Section Sleep and Circadian Neuroscience)
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Open AccessArticle
Intermittent Theta Burst Stimulation Combined with Cognitive Training to Improve Negative Symptoms and Cognitive Impairment in Schizophrenia: A Pilot Study
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Alessandra Vergallito, Camilla Gesi and Sara Torriero
Brain Sci. 2024, 14(7), 683; https://doi.org/10.3390/brainsci14070683 - 8 Jul 2024
Abstract
Schizophrenia is a chronic psychiatric disorder severely affecting patients’ functioning and quality of life. Unlike positive symptoms, cognitive impairment and negative symptoms cannot be treated pharmacologically and represent consistent predictors of the illness’s prognosis. Cognitive remediation (CR) interventions have been applied to target
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Schizophrenia is a chronic psychiatric disorder severely affecting patients’ functioning and quality of life. Unlike positive symptoms, cognitive impairment and negative symptoms cannot be treated pharmacologically and represent consistent predictors of the illness’s prognosis. Cognitive remediation (CR) interventions have been applied to target these symptoms. Brain stimulation also provides promising yet preliminary results in reducing negative symptoms, whereas its effect on cognitive impairment remains heterogeneous. Here, we combined intermittent theta burst stimulation (iTBS) with CR to improve negative symptoms and cognitive impairment in schizophrenia spectrum patients. One hundred eligible patients were invited, and twenty-one participated. We randomized them into four groups, manipulating the stimulation condition (real vs. sham) and CR (no training vs. training). We delivered fifteen iTBS sessions over the left dorsolateral prefrontal cortex for three weeks, followed (or not) by 50 min of training. Consensus-based clinical and cognitive assessment was administered at baseline and after the treatment, plus at three follow-ups occurring one, three, and six months after the intervention. Mixed-model analyses were run on cognitive and negative symptom scores. The preliminary findings highlighted a marginal modulation of iTBS on negative symptoms, whereas CR improved isolated cognitive functions. We herein discuss the limitations and strengths of the methodological approach.
Full article
(This article belongs to the Special Issue Brain Stimulation for Psychiatric Disorders: Emerging Evidence and New Perspectives)
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Open AccessReview
Feedback Interventions in Motor Recovery of Lateropulsion after Stroke: A Literature Review and Case Series
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Maria Gomez-Risquet, Anja Hochsprung, Eleonora Magni and Carlos Luque-Moreno
Brain Sci. 2024, 14(7), 682; https://doi.org/10.3390/brainsci14070682 - 5 Jul 2024
Abstract
Lateropulsion is a post-stroke phenomenon marked by an active push of the body across the midline towards the more affected side and/or a resistance of the weight shift towards the less affected side. Within the mechanisms of treatment, feedback systems have been shown
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Lateropulsion is a post-stroke phenomenon marked by an active push of the body across the midline towards the more affected side and/or a resistance of the weight shift towards the less affected side. Within the mechanisms of treatment, feedback systems have been shown to be effective. The aim of the present study was to create a body of knowledge by performing a literature review on the use of feedback mechanisms in the treatment of lateropulsion and to report two cases of lateropulsion patients who had undergone feedback-based treatment. Methods: The review was performed across five different databases (Embase, Medline/PubMed, Scopus, Web of Science, and PEDro) up to February 2024, and haptic feedback intervention was incorporated into the case series (with lateropulsion and ambulation capacity as the main variables). Results: In total, 211 records were identified and 6 studies were included after the review of the literature. The most used feedback modality was visual feedback. In the case series, positive results were observed from the intervention, particularly in the recovery of lateropulsion and balance, as well as in the improvement of gait for one patient. Patients demonstrated good adherence to the intervention protocol without adverse effects. Conclusions: Visual feedback is the most commonly used feedback modality in lateropulsion patients but other mechanisms such as haptic feedback also are feasible and should be taken into account. Larger sample sizes, extended follow-up periods, and the isolation of feedback mechanisms must be established to clarify evidence.
Full article
(This article belongs to the Special Issue New Insights into Movement Generation: Sensorimotor Processes)
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Open AccessArticle
MRI-Based Inner Ear Assessment and Cochlin Tomoprotein-Based Evaluation of Perilymphatic Fistula in Patients with Sudden Hearing Loss
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Rayoung Kim, Denis Mihailovic, Conrad Riemann, Alexander Kilgué, Christoph Joachim Pfeiffer, Hans-Björn Gehl, Lars-Uwe Scholtz and Ingo Todt
Brain Sci. 2024, 14(7), 681; https://doi.org/10.3390/brainsci14070681 - 5 Jul 2024
Abstract
Objectives: To study the correlation between positive cochlin tomoprotein testing (CTP), magnetic resonance (MR) imaging, and the auditory and vestibular function amongst patients with sudden hearing loss. Study Design: Prospective case series. Methods: We prospectively examined eight patients who presented with sudden hearing
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Objectives: To study the correlation between positive cochlin tomoprotein testing (CTP), magnetic resonance (MR) imaging, and the auditory and vestibular function amongst patients with sudden hearing loss. Study Design: Prospective case series. Methods: We prospectively examined eight patients who presented with sudden hearing loss (>60 dB) with or without vertigo or tinnitus. We performed an ELISA-based CTP detection test using middle ear lavage samples. In addition to the CTP examination, a magnetic resonance imaging (MRI) examination was performed using different sequences (T1 and a T1 sequence with a contrast medium (CM), a T2 sequence, 4 h delayed intravenous gadolinium-enhanced three-dimensional fluid-attenuated inversion recovery (3D FLAIR)). Results: All patients with sudden hearing loss (>60 dB) presented a non-specific contrast enhancement in the cochlea and vestibulum on the affected side on delayed 3D-FLAIR MRI. Four patients had a positive CTP test, suggesting a perilymphatic fistula (PLF). However, no specific MRI signal for a PLF was observed. Conclusions: Using multimodal diagnostic measures, such as CTP testing and different MRI sequences, no correlation could be found in patients with a PLF.
Full article
(This article belongs to the Special Issue Recent Advances in Hearing Impairment)
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Open AccessArticle
Radiomics-Guided Deep Learning Networks Classify Differential Diagnosis of Parkinsonism
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Ronghua Ling, Min Wang, Jiaying Lu, Shaoyou Wu, Ping Wu, Jingjie Ge, Luyao Wang, Yingqian Liu, Juanjuan Jiang, Kuangyu Shi, Zhuangzhi Yan, Chuantao Zuo and Jiehui Jiang
Brain Sci. 2024, 14(7), 680; https://doi.org/10.3390/brainsci14070680 - 4 Jul 2024
Abstract
The differential diagnosis between atypical Parkinsonian syndromes may be challenging and critical. We aimed to proposed a radiomics-guided deep learning (DL) model to discover interpretable DL features and further verify the proposed model through the differential diagnosis of Parkinsonian syndromes. We recruited 1495
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The differential diagnosis between atypical Parkinsonian syndromes may be challenging and critical. We aimed to proposed a radiomics-guided deep learning (DL) model to discover interpretable DL features and further verify the proposed model through the differential diagnosis of Parkinsonian syndromes. We recruited 1495 subjects for 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) scanning, including 220 healthy controls and 1275 patients diagnosed with idiopathic Parkinson’s disease (IPD), multiple system atrophy (MSA), or progressive supranuclear palsy (PSP). Baseline radiomics and two DL models were developed and tested for the Parkinsonian diagnosis. The DL latent features were extracted from the last layer and subsequently guided by radiomics. The radiomics-guided DL model outperformed the baseline radiomics approach, suggesting the effectiveness of the DL approach. DenseNet showed the best diagnosis ability (sensitivity: 95.7%, 90.1%, and 91.2% for IPD, MSA, and PSP, respectively) using retained DL features in the test dataset. The retained DL latent features were significantly associated with radiomics features and could be interpreted through biological explanations of handcrafted radiomics features. The radiomics-guided DL model offers interpretable high-level abstract information for differential diagnosis of Parkinsonian disorders and holds considerable promise for personalized disease monitoring.
Full article
(This article belongs to the Special Issue Challenges and Perspectives of Neurological Disorders: Series II)
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Open AccessCorrection
Correction: Raman et al. Relationships between Affect Recognition, Empathy, Alexithymia, and Co-Occurring Conditions in Autism. Brain Sci. 2023, 13, 1161
by
Nandita Raman, Sofronia M. Ringold, Aditya Jayashankar, Christiana D. Butera, Emily Kilroy, Laura Harrison, Sharon A. Cermak and Lisa Aziz-Zadeh
Brain Sci. 2024, 14(7), 679; https://doi.org/10.3390/brainsci14070679 - 3 Jul 2024
Abstract
In the original publication [...]
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Open AccessArticle
Firing Patterns of Mitral Cells and Their Transformation in the Main Olfactory Bulb
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Ze-Jun Wang, Liqin Sun and Thomas Heinbockel
Brain Sci. 2024, 14(7), 678; https://doi.org/10.3390/brainsci14070678 - 3 Jul 2024
Abstract
Mitral cells (MCs) in the main olfactory bulb relay odor information to higher-order olfactory centers by encoding the information in the form of action potentials. The firing patterns of these cells are influenced by both their intrinsic properties and their synaptic connections within
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Mitral cells (MCs) in the main olfactory bulb relay odor information to higher-order olfactory centers by encoding the information in the form of action potentials. The firing patterns of these cells are influenced by both their intrinsic properties and their synaptic connections within the neural network. However, reports on MC firing patterns have been inconsistent, and the mechanisms underlying these patterns remain unclear. Using whole-cell patch-clamp recordings in mouse brain slices, we discovered that MCs exhibit two types of integrative behavior: regular/rhythmic firing and bursts of action potentials. These firing patterns could be transformed both spontaneously and chemically. MCs with regular firing maintained their pattern even in the presence of blockers of fast synaptic transmission, indicating this was an intrinsic property. However, regular firing could be transformed into bursting by applying GABAA receptor antagonists to block inhibitory synaptic transmission. Burst firing could be reverted to regular firing by blocking ionotropic glutamate receptors, rather than applying a GABAA receptor agonist, indicating that ionotropic glutamatergic transmission mediated this transformation. Further experiments on long-lasting currents (LLCs), which generated burst firing, also supported this mechanism. In addition, cytoplasmic Ca2+ in MCs was involved in the transformation of firing patterns mediated by glutamatergic transmission. Metabotropic glutamate receptors also played a role in LLCs in MCs. These pieces of evidence indicate that odor information can be encoded on a mitral cell (MC) platform, where it can be relayed to higher-order olfactory centers through intrinsic and dendrodendritic mechanisms in MCs.
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(This article belongs to the Special Issue Advancements in Olfactory Research: From Physiology and Pathophysiology to Technological Aspects)
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Open AccessArticle
Regional Differences in Microbial Infiltration of Brain Tissue from Alzheimer’s Disease Patients and Control Individuals
by
T. Bucky Jones, Ping Chu, Brooke Wilkey, Leigha Lynch and Garilyn Jentarra
Brain Sci. 2024, 14(7), 677; https://doi.org/10.3390/brainsci14070677 - 3 Jul 2024
Abstract
Alzheimer’s disease (AD) is characterized by cognitive decline and neuropathology including amyloid beta (Aβ) plaques and neurofibrillary tangles (tau). Factors initiating or driving these pathologies remain unclear, though microbes have been increasingly implicated. Our data and others’ findings indicate that microbes may be
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Alzheimer’s disease (AD) is characterized by cognitive decline and neuropathology including amyloid beta (Aβ) plaques and neurofibrillary tangles (tau). Factors initiating or driving these pathologies remain unclear, though microbes have been increasingly implicated. Our data and others’ findings indicate that microbes may be common constituents of the brain. It is notable that Aβ and tau have antimicrobial properties, suggesting a response to microbes in the brain. We used 16S rRNA sequencing to compare major bacterial phyla in post-mortem tissues from individuals exhibiting a range of neuropathology and cognitive status in two brain regions variably affected in AD. Our data indicate that strong regional differences exist, driven in part by the varied presence of Proteobacteria and Firmicutes. We confirmed our data using ELISA of bacterial lipopolysaccharide (LPS) and lipoteichoic acid in the same brain tissue. We identified a potential association between the composition of phyla and the presence of neuropathology but not cognitive status. Declining cognition and increasing pathology correlated closely with serum LPS, but not brain levels of LPS, although brain LPS showed a strong negative correlation with cerebral amyloid angiopathy. Collectively, our data suggest a region-specific heterogeneity of microbial populations in brain tissue potentially associated with neurodegenerative pathology.
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(This article belongs to the Section Neurodegenerative Diseases)
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Open AccessArticle
A Comparative Study on Cognitive Assessment in Cerebellar and Supratentorial Stroke
by
Qi Liu and Yumei Zhang
Brain Sci. 2024, 14(7), 676; https://doi.org/10.3390/brainsci14070676 - 3 Jul 2024
Abstract
This study aims to understand the cognitive profiles of cerebellar infarction patients and compare them to those with supratentorial infarctions, particularly frontal infarctions. This current study also aims to find reliable assessment tools for detecting cognitive impairment in cerebellar infarction patients. A total
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This study aims to understand the cognitive profiles of cerebellar infarction patients and compare them to those with supratentorial infarctions, particularly frontal infarctions. This current study also aims to find reliable assessment tools for detecting cognitive impairment in cerebellar infarction patients. A total of fifty cerebellar infarction patients, sixty supratentorial infarction patients, and thirty-nine healthy controls were recruited. The Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Addenbrooke’s Cognitive Examination III (ACE-III), and Cerebellar Cognitive Affective Syndrome scale (CCAS-s) were used to assess global cognitive function. An extensive neuropsychological assessment battery was also tested to evaluate the characteristics of each cognitive domain. To assess the features of cognitive function, a comprehensive neuropsychological evaluation tool was also utilized. The cerebral infarction patients demonstrated cognitive impairment comparable to those with frontal infarcts, notably characterized by disturbance in attention and executive function. However, the degree of cognitive impairment was comparatively milder in cerebellar infarction patients. Furthermore, the patients in the cerebellar group had worse scores in the ACE-III and CCAS-s compared to healthy controls. The two assessments also demonstrated a significant area under the curve values, indicating their effectiveness in distinguishing cognitive impairment in cerebellar infarctions. In conclusion, cognitive impairment in a cerebellar infarction resembles frontal lobe dysfunction but is generally mild. It can be accurately assessed using the ACE-III and CCAS-s scales.
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(This article belongs to the Special Issue Cognitive Impairment and Related Complications of Stroke: Prevention, Diagnosis, and Treatment)
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Vagus Nerve Stimulation Therapy in Epilepsy: An Overview of Technical and Surgical Method, Patient Selection, and Treatment Outcomes
by
Myriam Abdennadher, Pratik Rohatgi and Aneeta Saxena
Brain Sci. 2024, 14(7), 675; https://doi.org/10.3390/brainsci14070675 - 2 Jul 2024
Abstract
Epilepsy affects over 65 million people worldwide. One-third of people with epilepsy do not respond to medication and may benefit from surgery. Vagus nerve stimulation (VNS) is the first neuromodulation therapy for the treatment of drug-resistant epilepsy. This method is used in combination
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Epilepsy affects over 65 million people worldwide. One-third of people with epilepsy do not respond to medication and may benefit from surgery. Vagus nerve stimulation (VNS) is the first neuromodulation therapy for the treatment of drug-resistant epilepsy. This method is used in combination with anti-seizure medications in adults and in the pediatric population. VNS has also been demonstrated to have benefits for some epilepsy comorbidities, such as depression, and can be used in combination with other neuromodulation therapies in epilepsy. The authors present an overview of VNS physiology, patient selection, surgery and risks, neuromodulation therapy, and application to epilepsy comorbidities.
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(This article belongs to the Special Issue The Application of Non-invasive Brain Stimulation on Neurology, Psychiatry, and Rehabilitation)
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