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Localization patterns of speech and language errors during awake brain surgery: a systematic review.Neurosurgical Review Jan 2023Awake craniotomy with direct electrical stimulation (DES) is the standard treatment for patients with eloquent area gliomas. DES detects speech and language errors,... (Review)
Review
Awake craniotomy with direct electrical stimulation (DES) is the standard treatment for patients with eloquent area gliomas. DES detects speech and language errors, which indicate functional boundaries that must be maintained to preserve quality of life. During DES, traditional object naming or other linguistic tasks such as tasks from the Dutch Linguistic Intraoperative Protocol (DuLIP) can be used. It is not fully clear which speech and language errors occur in which brain locations. To provide an overview and to update DuLIP, a systematic review was conducted in which 102 studies were included, reporting on speech and language errors and the corresponding brain locations during awake craniotomy with DES in adult glioma patients up until 6 July 2020. The current findings provide a crude overview on language localization. Even though subcortical areas are in general less often investigated intraoperatively, still 40% out of all errors was reported at the subcortical level and almost 60% at the cortical level. Rudimentary localization patterns for different error types were observed and compared to the dual-stream model of language processing and the DuLIP model. While most patterns were similar compared to the models, additional locations were identified for articulation/motor speech, phonology, reading, and writing. Based on these patterns, we propose an updated DuLIP model. This model can be applied for a more adequate "location-to-function" language task selection to assess different linguistic functions during awake craniotomy, to possibly improve intraoperative language monitoring. This could result in a better postoperative language outcome in the future.
Topics: Adult; Humans; Brain Neoplasms; Speech; Wakefulness; Quality of Life; Magnetic Resonance Imaging; Brain Mapping; Glioma; Brain; Craniotomy; Electric Stimulation
PubMed: 36662312
DOI: 10.1007/s10143-022-01943-9 -
Sensors (Basel, Switzerland) Dec 2022Currently, not all children that need speech therapy have access to a therapist. With the current international shortage of speech-language pathologists (SLPs), there is... (Review)
Review
Currently, not all children that need speech therapy have access to a therapist. With the current international shortage of speech-language pathologists (SLPs), there is a demand for online tools to support SLPs with their daily tasks. Several online speech therapy (OST) systems have been designed and proposed in the literature; however, the implementation of these systems is lacking. The technical knowledge that is needed to use these programs is a challenge for SLPs. There has been limited effort to systematically identify, analyze and report the findings of prior studies. We provide the results of an extensive literature review of OST systems for childhood speech communication disorders. We systematically review OST systems that can be used in clinical settings or from home as part of a treatment program for children with speech communication disorders. Our search strategy found 4481 papers, of which 35 were identified as focusing on speech therapy programs for speech communication disorders. The features of these programs were examined, and the main findings are extracted and presented. Our analysis indicates that most systems which are designed mainly to support the SLPs adopt and use supervised machine learning approaches that are either desktop-based or mobile-phone-based applications. Our findings reveal that speech therapy systems can provide important benefits for childhood speech. A collaboration between computer programmers and SLPs can contribute to implementing useful automated programs, leading to more children having access to good speech therapy.
Topics: Child; Humans; Speech; Speech Therapy; Speech-Language Pathology; Communication Disorders; Speech Disorders
PubMed: 36560082
DOI: 10.3390/s22249713 -
Child and Adolescent Psychiatry and... Nov 2022Attention Deficit/Hyperactivity disorder (ADHD) is one of the most common disorders in school-age children. In addition to learning difficulties associated with the... (Review)
Review
Attention Deficit/Hyperactivity disorder (ADHD) is one of the most common disorders in school-age children. In addition to learning difficulties associated with the disorder's core symptoms of inattention and hyperactivity, children with ADHD display substantial social impairments. Methylphenidate (MPH) in formulations such as Ritalin or Concerta mitigates inattention and hyperactivity, but the effects of the therapy on social behavior in children with ADHD are not clear. This review aims to determine the effectiveness of short term (up to 6 months) MPH treatment on three domains of social skills in children aged 6-14 with ADHD: (i) Recognition of nonverbal emotional expressions, which are a marker of inherent (unlearned) social understanding, (ii) theory of mind (ToM) components that relate to learned cognition and social communication, and (iii) social competence in everyday environments. 15 relevant studies were identified based on inclusion/exclusion criteria. The results show mixed effects: the overall social performance as evaluated by parents, teachers or peers, and some components of ToM, were found to improve following a weeks-long course of MPH treatment. However, the effects of the medication are less clear when evaluating momentary/nonverbal social responses such as reactions to emotional facial expressions. While the findings of this review indicate that an MPH medication regime of order weeks to months could improve, to a degree, social impairment in children with ADHD, more studies are required to identify the medications' mechanism and confirm such a conclusion.
PubMed: 36443766
DOI: 10.1186/s13034-022-00526-2 -
Medical Science Monitor : International... Nov 2022Changes in central auditory processing due to aging in normal-hearing elderly patients, as well as age-related hearing loss, are often associated with difficulties in...
Changes in central auditory processing due to aging in normal-hearing elderly patients, as well as age-related hearing loss, are often associated with difficulties in speech processing, especially in unfavorable acoustic environments. Speech processing depends on the perception of temporal and spectral features, and for this reason can be assessed by recordings of phase-locked neural activity when synchronized to transient and periodic sound stimuli frequency-following responses (FFRs). An electronic search of the PubMed and Web of Science databases was carried out in July 2019. Studies that evaluated the effects of age-related hearing loss on components of FFRs were included. Studies that were not in English, studies performed on animals, studies with cochlear implant users, literature reviews, letters to the editor, and case studies were excluded. Our search yielded 6 studies, each of which included 30 to 94 subjects aged between 18 and 80 years. Latency increases and significant amplitude reduction of the onset, offset, and sloop V/A components of FFRs were observed. Latency and amplitude impairment of the fundamental frequency, first formant, and high formants were related to peripheral sensorineural hearing loss in the elderly population. Conclusions: Temporal changes in FFR tracing were related to the aging process. Hearing loss also impacts the envelope fine structure, producing poorer speech comprehension in noisy environments. More research is needed to understand aspects related to hearing loss and cognitive aspects common to the elderly.
Topics: Aged; Animals; Humans; Speech; Speech Perception; Acoustic Stimulation; Hearing Loss, Sensorineural; Cochlear Implants
PubMed: 36397662
DOI: 10.12659/MSM.938089 -
Frontiers in Public Health 2022Despite numerous instruments existing to assist in the measurement of specific cyberbullying behaviors or cyberbullying in general, it is still unclear their purpose,...
Despite numerous instruments existing to assist in the measurement of specific cyberbullying behaviors or cyberbullying in general, it is still unclear their purpose, corresponding scenarios, and their effectiveness. This study, therefore, aims to provide a comprehensive review of academic efforts on cyberbullying definitions, measurements, and their effectiveness in children and adolescents in the past two decades. A systematic review was performed using ASReview, an open source machine learning systematic review system. Three bibliographic citation databases, including Web of Science core collection, PubMed, and EBSCO were adopted for all relevant literature published from January 2001 to August 2021. In total, twenty-five studies, mentioning seventeen cyberbullying measurement scales, met the study collection criteria. The results found that most failed to provide a clear definition of cyberbullying, often providing unclear and inconsistent descriptions for the youth. Similarly, studies found it difficult to clearly reflect the three key elements of bullying, namely: harmfulness, repetitiveness, and the power imbalance between bullies and victims. With regard to cyberbullying types, most presented two or three categories, including victimization, perpetration, and bystanding, while some suggested four types based on the nature of the cyberbullying behavior, including written or verbal, visual or sexual, character impersonation, and exclusion. If characteristics are considered, cyberbullying becomes more specific with multiple categories being proposed, including flaming (or roasting), harassment, denigration, defamation, outing, jokes, online sexual harassment, and cyberstalking. With regard to measurements, many scales have been proposed and frequently refined to capture specific cyberbullying experience of the youth. This study emphasizes the value and importance of providing clear cyberbullying definitions and helps scholars in youth cyberbullying choose appropriate measurement scales.
Topics: Child; Adolescent; Humans; Cyberbullying; Bullying; Crime Victims
PubMed: 36388377
DOI: 10.3389/fpubh.2022.1000504 -
Frontiers in Psychiatry 2022Episodic memory impairments beyond the traumatic event might be a characteristic hallmark of post-traumatic stress disorder (PTSD). Although several studies support such...
Episodic memory impairments beyond the traumatic event might be a characteristic hallmark of post-traumatic stress disorder (PTSD). Although several studies support such a claim, empirical findings are inconsistent. Therefore, we performed a random-effects meta-analysis including data from a total of 47 studies and 3,062 subjects. As main finding, we can show that PTSD patients show episodic memory deficits compared to all controls. This effect was significantly stronger for PTSD vs. non-traumatized healthy controls as compared to PTSD vs. traumatized controls without PTSD. Finally, episodic memory impairments in PTSD were most pronounced in verbal memory tests as compared to non-verbal memory tests. Our results provide new evidence that PTSD is characterized by impaired episodic long-term memory beyond the traumatic event, and these deficits are particularly pronounced in verbal memory. We will discuss our findings in the context of physiological, psychological and trauma related memory models. From a broader perspective, our findings may have implications for the treatment of PTSD by suggesting that the assessment and, if necessary, training of memory deficits could be included as part of diagnostics and psychotherapeutic treatment.
PubMed: 36245884
DOI: 10.3389/fpsyt.2022.909442 -
Nursing Forum Nov 2022To identify the current research involving interprofessional collaboration between registered nurses (RNs) and speech language pathologists (SLPs) in healthcare and...
AIMS AND OBJECTIVE
To identify the current research involving interprofessional collaboration between registered nurses (RNs) and speech language pathologists (SLPs) in healthcare and educational settings.
BACKGROUND
As the complexity of healthcare increases, the need for active interprofessional collaboration between RNs and SLPs grows. A review of the literature revealed no systematic reviews currently exist about interprofessional collaborative studies between RNs and SLPs.
DESIGN
Researchers conducted a scoping review using PRISMA guidelines.
METHODS
Online databases were used to identify qualitative and quantitative research studies written in English and conducted between 2011 and 2020. Databases included Academic Search Ultimate, ASHA Wire, CINAHL, Cochrane Database of Systematic Reviews, ERIC, MEDLINE, PubMed, PsycINFO, and SEMANTIC SCHOLAR. The studies needed to focus on the interprofessional collaboration between RNs and SLPs or students in these professions.
FINDINGS
Of the 128 sources, only six studies met scoping review criteria. The primary focus of three studies was an evaluation of interprofessional education activities between nursing, speech language pathology, and other health profession students. One study explored interprofessional education in clinical practice between RNs and SLPs. Two studies explored interprofessional collaboration in the clinical setting.
CONCLUSION
More research is needed that investigates interprofessional collaboration and practice of RNs and SLPs in the healthcare setting.
RELEVANCE TO CLINICAL PRACTICE
This review identified the need for RNs and SLPs to work effectively as interprofessional teams are important in improving patient outcomes.
Topics: Humans; Pathologists; Speech; Speech-Language Pathology; Delivery of Health Care; Nurses
PubMed: 36161720
DOI: 10.1111/nuf.12802 -
Sensors (Basel, Switzerland) Sep 2022Brain traumas, mental disorders, and vocal abuse can result in permanent or temporary speech impairment, significantly impairing one's quality of life and occasionally... (Review)
Review
Brain traumas, mental disorders, and vocal abuse can result in permanent or temporary speech impairment, significantly impairing one's quality of life and occasionally resulting in social isolation. Brain-computer interfaces (BCI) can support people who have issues with their speech or who have been paralyzed to communicate with their surroundings via brain signals. Therefore, EEG signal-based BCI has received significant attention in the last two decades for multiple reasons: (i) clinical research has capitulated detailed knowledge of EEG signals, (ii) inexpensive EEG devices, and (iii) its application in medical and social fields. : This study explores the existing literature and summarizes EEG data acquisition, feature extraction, and artificial intelligence (AI) techniques for decoding speech from brain signals. : We followed the PRISMA-ScR guidelines to conduct this scoping review. We searched six electronic databases: PubMed, IEEE Xplore, the ACM Digital Library, Scopus, arXiv, and Google Scholar. We carefully selected search terms based on target intervention (i.e., imagined speech and AI) and target data (EEG signals), and some of the search terms were derived from previous reviews. The study selection process was carried out in three phases: study identification, study selection, and data extraction. Two reviewers independently carried out study selection and data extraction. A narrative approach was adopted to synthesize the extracted data. : A total of 263 studies were evaluated; however, 34 met the eligibility criteria for inclusion in this review. We found 64-electrode EEG signal devices to be the most widely used in the included studies. The most common signal normalization and feature extractions in the included studies were the bandpass filter and wavelet-based feature extraction. We categorized the studies based on AI techniques, such as machine learning and deep learning. The most prominent ML algorithm was a support vector machine, and the DL algorithm was a convolutional neural network. : EEG signal-based BCI is a viable technology that can enable people with severe or temporal voice impairment to communicate to the world directly from their brain. However, the development of BCI technology is still in its infancy.
Topics: Algorithms; Artificial Intelligence; Brain-Computer Interfaces; Electroencephalography; Humans; Quality of Life; Speech
PubMed: 36146323
DOI: 10.3390/s22186975 -
Neuroscience and Biobehavioral Reviews Sep 2022It is often claimed that music training improves auditory and linguistic skills. Results of individual studies are mixed, however, and most evidence is correlational,... (Meta-Analysis)
Meta-Analysis Review
It is often claimed that music training improves auditory and linguistic skills. Results of individual studies are mixed, however, and most evidence is correlational, precluding inferences of causation. Here, we evaluated data from 62 longitudinal studies that examined whether music training programs affect behavioral and brain measures of auditory and linguistic processing (N = 3928). For the behavioral data, a multivariate meta-analysis revealed a small positive effect of music training on both auditory and linguistic measures, regardless of the type of assignment (random vs. non-random), training (instrumental vs. non-instrumental), and control group (active vs. passive). The trim-and-fill method provided suggestive evidence of publication bias, but meta-regression methods (PET-PEESE) did not. For the brain data, a narrative synthesis also documented benefits of music training, namely for measures of auditory processing and for measures of speech and prosody processing. Thus, the available literature provides evidence that music training produces small neurobehavioral enhancements in auditory and linguistic processing, although future studies are needed to confirm that such enhancements are not due to publication bias.
Topics: Auditory Perception; Brain; Humans; Linguistics; Music; Speech
PubMed: 35843347
DOI: 10.1016/j.neubiorev.2022.104777 -
Trauma, Violence & Abuse Oct 2023Little is known about the current state of research on the involvement of young people in hate speech. Thus, this systematic review presents findings on a) the...
Little is known about the current state of research on the involvement of young people in hate speech. Thus, this systematic review presents findings on a) the prevalence of hate speech among children and adolescents and on hate speech definitions that guide prevalence assessments for this population; and b) the theoretical and empirical overlap of hate speech with related concepts. This review was guided by the Cochrane approach. To be included, publications were required to deal with real-life experiences of hate speech, to provide empirical data on prevalence for samples aged 5 to 21 years and they had to be published in academic formats. Included publications were full-text coded using two raters (κ = .80) and their quality was assessed. The string-guided electronic search (ERIC, SocInfo, Psycinfo, Psyndex) yielded 1,850 publications. Eighteen publications based on 10 studies met the inclusion criteria and their findings were systematized. Twelve publications were of medium quality due to minor deficiencies in their theoretical or methodological foundations. All studies used samples of adolescents and none of younger children. Nine out of 10 studies applied quantitative methodologies. Eighteen publications based on 10 studies were included. Results showed that frequencies for hate speech exposure were higher than those related to victimization and perpetration. Definitions of hate speech and assessment instruments were heterogeneous. Empirical evidence for an often theorized overlap between hate speech and bullying was found. The paper concludes by presenting a definition of hate speech, including implications for practice, policy, and research.
Topics: Humans; Child; Adolescent; Hate; Speech; Prevalence; Bullying; Crime Victims
PubMed: 35731198
DOI: 10.1177/15248380221108070