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Actas Espanolas de Psiquiatria Jun 2024In recent years, the number of adolescents with depression has been increasing annually, with individuals often exhibiting non-suicidal self-injury (NSSI) behavior. The...
BACKGROUND
In recent years, the number of adolescents with depression has been increasing annually, with individuals often exhibiting non-suicidal self-injury (NSSI) behavior. The purpose of this study is to investigate the family (childhood abuse), school (peer victimization), and individual (psychological resilience) factors of adolescents with depression with or without NSSI (the Chinese version of the Functional Assessment of Self-Mutilation [C-FASM] scale), and to analyze the correlation between the above psychological and social factors and the frequency of NSSI, to provide a basis for NSSI prevention and intervention in adolescents with depression.
METHODS
We recruited 355 adolescents with depressive symptoms to participate in this study and divided them into Group NSSI (N = 227) and Group no-NSSI (n-NSSI) (N = 128) based on the C-FASM scale. The Short-Form Childhood Trauma Questionnaire (CTQ-SF), Multidimensional Peer Visualization Scale (MPVS), and Resilience Scale for Chinese Adolescents (RISC) scores were compared between two groups of adolescents. Pearson correlation coefficient was used to analyze the correlation between NSSI frequency and the above scores.
RESULTS
Emotional abuse, physical abuse, sexual abuse, emotional neglect, physical neglect, and total CTQ-SF score in Group NSSI were significantly higher than those in Group n-NSSI (all p < 0.001). Physical victimization, verbal victimization, social manipulation, attacks on property, and total MPVS score in Group NSSI were significantly higher than those in Group n-NSSI (p < 0.001, p < 0.001, p = 0.009, p < 0.001, p < 0.001). Goal concentration, emotion regulation, positive perception, family support, interpersonal assistance, and total RISC score in Group NSSI were significantly lower than those in Group n-NSSI (all p < 0.001). The frequency of NSSI was significantly positively correlated with emotional abuse, physical abuse, sexual abuse, emotional neglect, physical neglect, and total CTQ-SF score (r = 0.366, p < 0.001; r = 0.411, p < 0.001; r = 0.554, p < 0.001; r = 0.220, p = 0.001; r = 0.255, p < 0.001; r = 0.673, p < 0.001). The frequency of NSSI was significantly positively correlated with physical victimization, verbal victimization, social manipulation, attacks on property, and total MPVS score (r = 0.418, p < 0.001; r = 0.455, p < 0.001; r = 0.447, p < 0.001; r = 0.555, p = 0.001; r = 0.704, p < 0.001). The frequency of NSSI was significantly negatively correlated with goal concentration, emotion regulation, positive perception, family support, interpersonal assistance, and total RISC score (r = -0.393, p < 0.001; r = -0.341, p < 0.001; r = -0.465, p < 0.001; r = -0.272, p = 0.001; r = -0.160, p = 0.016; r = -0.540, p < 0.001).
CONCLUSIONS
Our findings highlight the importance of family (childhood abuse), school (peer victimization), and individual (psychological resilience) factors for NSSI in depressed adolescents, and these factors are closely related to NSSI frequency.
IMPLICATIONS FOR PRACTICE
Maintaining a good family environment, solving the problem of peer victimization at school, and developing corresponding measures to improve psychological resilience are of great significance for improving the mental health of depressed adolescents and reducing the risk of NSSI.
Topics: Humans; Adolescent; Self-Injurious Behavior; Male; Female; Child Abuse; Resilience, Psychological; Crime Victims; Depression; Peer Group; Child; Bullying; Correlation of Data
PubMed: 38863041
DOI: 10.62641/aep.v52i3.1650 -
Journal of Speech, Language, and... Jun 2024Despite common clinical complaints about memory for conversation after traumatic brain injury (TBI), the nature and severity of this deficit are unknown. In this...
PURPOSE
Despite common clinical complaints about memory for conversation after traumatic brain injury (TBI), the nature and severity of this deficit are unknown. In this research note, we report feasibility and preliminary data from a new conversation memory study protocol.
METHOD
Participants in this feasibility study were 10 pairs, each including an adult with chronic, moderate-to-severe TBI and their chosen familiar conversation partner. The experiment began with a naturalistic conversation between participants with TBI and their conversation partners. After a filled delay, participants next completed verbal recall for the conversation, which we transcribed and coded for their accuracy relative to the original conversation. Participants also read chosen statements from their original conversation and predicted what each partner would remember in a week. One week later, participants completed a posttest about who said each of the chosen statements, allowing direct comparison to their predictions.
RESULTS
We successfully collected conversation memory data from all 10 pairs, suggesting that this protocol is feasible for future study. In this preliminary sample, people with TBI and their conversation partners did not differ in the accuracy of their recall for the conversation about 20 min after it occurred. When asked to predict their partner's delayed memory, conversation partners were less accurate than participants with TBI because they underestimated how much their partners with TBI would remember.
CONCLUSION
Measuring memory for conversation in TBI is feasible and may advance the characterization of cognitive-communication impairment in TBI, and its heterogeneity, in everyday contexts.
SUPPLEMENTAL MATERIAL
https://doi.org/10.23641/asha.25927513.
PubMed: 38861453
DOI: 10.1044/2024_JSLHR-23-00420 -
Journal of Speech, Language, and... Jun 2024The current study examined the predictive role of gestures and gesture-speech combinations on later spoken language outcomes in minimally verbal (MV) autistic children...
PURPOSE
The current study examined the predictive role of gestures and gesture-speech combinations on later spoken language outcomes in minimally verbal (MV) autistic children enrolled in a blended naturalistic developmental/behavioral intervention (Joint Attention, Symbolic Play, Engagement, and Regulation [JASPER] + Enhanced Milieu Teaching [EMT]).
METHOD
Participants were 50 MV autistic children (40 boys), ages 54-105 months ( = 75.54, = 16.45). MV was defined as producing fewer than 20 spontaneous, unique, and socially communicative words. Autism symptom severity (Autism Diagnostic Observation Schedule-Second Edition) and nonverbal cognitive skills (Leiter-R Brief IQ) were assessed at entry. A natural language sample (NLS), a 20-min examiner-child interaction with specified toys, was collected at entry (Week 1) and exit (Week 18) from JASPER + EMT intervention. The NLS was coded for gestures (deictic, conventional, and representational) and gesture-speech combinations (reinforcing, disambiguating, supplementary, other) at entry and spoken language outcomes: speech quantity (rate of speech utterances) and speech quality (number of different words [NDW] and mean length of utterance in words [MLUw]) at exit using European Distributed Corpora Project Linguistic Annotator and Systematic Analysis of Language Transcripts.
RESULTS
Controlling for nonverbal IQ and autism symptom severity at entry, rate of gesture-speech combinations (but not gestures alone) at entry was a significant predictor of rate of speech utterances and MLUw at exit. The rate of supplementary gesture-speech combinations, in particular, significantly predicted rate of speech utterances and NDW at exit.
CONCLUSION
These findings highlight the critical importance of gestural communication, particularly gesture-speech (supplementary) combinations in supporting spoken language development in MV autistic children.
PubMed: 38861424
DOI: 10.1044/2024_JSLHR-23-00433 -
Frontiers in Psychology 2024In the present study, we aimed to assess the cognition of post-COVID-19 condition (PCC) participants in relation to their subjective sleep quality (Pittsburgh Sleep...
OBJECTIVE
In the present study, we aimed to assess the cognition of post-COVID-19 condition (PCC) participants in relation to their subjective sleep quality (Pittsburgh Sleep Quality Index, PSQI) and to analyse possible moderators of this effect, such as quality of life (European Quality of Life-5 Dimensions, EQ-5D), fatigue (Chadler Fatigue Questionnaire, CFQ), cognitive reserve (Cognitive Reserve Questionnaire, CRC), and subjective cognitive complaints (Memory Failures of Everyday Questionnaire, MFE-30).
METHODS
We included 373 individuals with PCC and 126 healthy controls (HCs) from the NAUTILUS Project (NCT05307549 and NCT05307575) who were assessed with a comprehensive neuropsychological battery and various questionnaires.
RESULTS
We found that PCC participants with poor sleep quality had a 4.3% greater risk of immediate verbal memory deficits than those with good sleep quality, as indicated by the greater odds ratio (OR) of 1.043 and confidence interval (CI) of 1.023-1.063. Additionally, their risk of immediate verbal memory disorders was multiplied by 2.4 when their EQ-5D score was low (OR 0.33; CI 0.145-0.748), and they had a lower risk of delayed visual memory deficits with a greater CRC (OR 0.963; CI 0.929-0.999). With respect to processing speed, PCC participants with poor sleep quality had a 6.7% greater risk of deficits as the MFE increased (OR 1.059; CI 1.024-1.096), and the risk of slowed processing speed tripled with a lower EQ-5D (OR 0.021; CI 0.003-0.141).
CONCLUSION
These results indicate that poor subjective sleep quality is a potential trigger for cognitive deficits. Therapeutic strategies to maximize sleep quality could include reducing sleep disturbances and perhaps cognitive impairment in PCC individuals.
PubMed: 38860054
DOI: 10.3389/fpsyg.2024.1382875 -
Acta Neurochirurgica Jun 2024The aim of this case study was to describe differences in English and British Sign Language (BSL) communication caused by a left temporal tumour resulting in discordant...
The aim of this case study was to describe differences in English and British Sign Language (BSL) communication caused by a left temporal tumour resulting in discordant presentation of symptoms, intraoperative stimulation mapping during awake craniotomy and post-operative language abilities. We report the first case of a hearing child of deaf adults, who acquired BSL with English as a second language. The patient presented with English word finding difficulty, phonemic paraphasias, and reading and writing challenges, with BSL preserved. Intraoperatively, object naming and semantic fluency tasks were performed in English and BSL, revealing differential language maps for each modality. Post-operative assessment confirmed mild dysphasia for English with BSL preserved. These findings suggest that in hearing people who acquire a signed language as a first language, topographical organisation may differ to that of a second, spoken, language.
Topics: Humans; Glioblastoma; Sign Language; Craniotomy; Brain Neoplasms; Temporal Lobe; Brain Mapping; Male; Wakefulness; Speech; Multilingualism; Language; Adult
PubMed: 38858238
DOI: 10.1007/s00701-024-06130-x -
PloS One 2024What is the role of working memory over the course of non-native speech category learning? Prior work has predominantly focused on how working memory might influence...
What is the role of working memory over the course of non-native speech category learning? Prior work has predominantly focused on how working memory might influence learning assessed at a single timepoint. Here, we substantially extend this prior work by examining the role of working memory on speech learning performance over time (i.e., over several months) and leverage a multifaceted approach that provides key insights into how working memory influences learning accuracy, maintenance of knowledge over time, generalization ability, and decision processes. We found that the role of working memory in non-native speech learning depends on the timepoint of learning and whether individuals learned the categories at all. Among learners, across all stages of learning, working memory was associated with higher accuracy as well as faster and slightly more cautious decision making. Further, while learners and non-learners did not have substantially different working memory performance, learners had faster evidence accumulation and more cautious decision thresholds throughout all sessions. Working memory may enhance learning by facilitating rapid category acquisition in initial stages and enabling faster and slightly more careful decision-making strategies that may reduce the overall effort needed to learn. Our results have important implications for developing interventions to improve learning in naturalistic language contexts.
Topics: Humans; Memory, Short-Term; Female; Male; Learning; Individuality; Speech; Young Adult; Adult; Decision Making; Language
PubMed: 38857268
DOI: 10.1371/journal.pone.0297917 -
Scientific Reports Jun 2024Cochlear implants (CIs) do not offer the same level of effectiveness in noisy environments as in quiet settings. Current single-microphone noise reduction algorithms in...
Cochlear implants (CIs) do not offer the same level of effectiveness in noisy environments as in quiet settings. Current single-microphone noise reduction algorithms in hearing aids and CIs only remove predictable, stationary noise, and are ineffective against realistic, non-stationary noise such as multi-talker interference. Recent developments in deep neural network (DNN) algorithms have achieved noteworthy performance in speech enhancement and separation, especially in removing speech noise. However, more work is needed to investigate the potential of DNN algorithms in removing speech noise when tested with listeners fitted with CIs. Here, we implemented two DNN algorithms that are well suited for applications in speech audio processing: (1) recurrent neural network (RNN) and (2) SepFormer. The algorithms were trained with a customized dataset ( 30 h), and then tested with thirteen CI listeners. Both RNN and SepFormer algorithms significantly improved CI listener's speech intelligibility in noise without compromising the perceived quality of speech overall. These algorithms not only increased the intelligibility in stationary non-speech noise, but also introduced a substantial improvement in non-stationary noise, where conventional signal processing strategies fall short with little benefits. These results show the promise of using DNN algorithms as a solution for listening challenges in multi-talker noise interference.
Topics: Humans; Cochlear Implants; Deep Learning; Speech Intelligibility; Noise; Female; Middle Aged; Male; Algorithms; Speech Perception; Aged; Adult; Neural Networks, Computer
PubMed: 38853168
DOI: 10.1038/s41598-024-63675-8 -
Journal of Experimental Child Psychology Jun 2024Preschoolers are notoriously poor at delaying gratification and saving limited resources, yet evidence-based methods of improving these behaviors are lacking. Using the...
Preschoolers are notoriously poor at delaying gratification and saving limited resources, yet evidence-based methods of improving these behaviors are lacking. Using the marble game saving paradigm, we examined whether young children's saving behavior would increase as a result of engaging in future-oriented imagination using a storyboard. Participants were 115 typically developing 4-year-olds from a midwestern U.S. metropolitan area (M = 53.48 months, SD = 4.14, range = 47-60; 54.8% female; 84.5% White; 7.3% Hispanic/Latino ethnicity; median annual household income = $150,000-$174,999). Children were randomly assigned to one of four storyboard conditions prior to the marble game: Positive Future Simulation, Negative Future Simulation, Positive Routine, or Negative Routine. In each condition, children were asked to imagine how they would feel in the future situation using a smiley face rating scale. Results showed that children were significantly more likely to save (and to save more marbles) in the experimental conditions compared with the control conditions (medium effect sizes). Moreover, imagining saving for the future (and how good that would feel) was more effective at increasing saving behaviors than imagining not saving (and how bad that would feel). Emotion ratings were consistent with the assigned condition, but positive emotion alone did not account for these effects. Results held after accounting for game order and verbal IQ. Implications of temporal psychological distancing and emotion anticipation for children's future-oriented decision making are discussed.
PubMed: 38852402
DOI: 10.1016/j.jecp.2024.105966 -
Child Abuse & Neglect Jun 2024Previous studies on maternal parenting styles and children's callous-unemotional behavior (CU behavior) have focused on the West, and few studies have examined the...
BACKGROUND
Previous studies on maternal parenting styles and children's callous-unemotional behavior (CU behavior) have focused on the West, and few studies have examined the longitudinal relationship between maternal parenting styles and CU behavior using Chinese preschoolers as subjects.
OBJECTIVE
Through a 1.5-year longitudinal lens, this study probed the relations between maternal parenting styles and CU behavior in the Chinese cultural setting.
PARTICIPANTS
Participants were N = 492 Chinese young children (Mage = 52.44 months, SD = 5.00, 48 % girls).
METHODS
At Time 1 (T1), mothers reported their use of authoritative parenting styles (i.e., warmth, reasoning, and autonomy), authoritarian parenting styles (i.e., physical coercion, verbal hostility, and nonreasoning) and children's CU behavior. At Time 2 (T2; approximately 1.5 years later), mothers again reported the above variables.
RESULTS
Cross-lagged models indicated that maternal warmth, reasoning, autonomy, and nonreasoning at T1 predicted CU behavior at T2. However, not only did maternal physical coercion and verbal hostility at T1 predict CU behavior at T2, but CU behavior at T1 also predicted maternal physical coercion and verbal hostility at T2. Additionally, there were no gender differences in the relationship between dimensions of maternal parenting styles and CU behavior.
CONCLUSIONS
It underscores the influence of authoritative parenting in potentially mitigating CU behavior, while authoritarian approaches may exacerbate CU behavior. The absence of gender differences suggests these dynamics are broadly applicable across genders. These findings have significant implications for parenting strategies aimed at addressing CU behavior in children, emphasizing the need for warmth, reasoning, and autonomy in parenting practices.
PubMed: 38850750
DOI: 10.1016/j.chiabu.2024.106865 -
Scientific Reports Jun 2024In human-computer interaction systems, speech emotion recognition (SER) plays a crucial role because it enables computers to understand and react to users' emotions. In...
In human-computer interaction systems, speech emotion recognition (SER) plays a crucial role because it enables computers to understand and react to users' emotions. In the past, SER has significantly emphasised acoustic properties extracted from speech signals. The use of visual signals for enhancing SER performance, however, has been made possible by recent developments in deep learning and computer vision. This work utilizes a lightweight Vision Transformer (ViT) model to propose a novel method for improving speech emotion recognition. We leverage the ViT model's capabilities to capture spatial dependencies and high-level features in images which are adequate indicators of emotional states from mel spectrogram input fed into the model. To determine the efficiency of our proposed approach, we conduct a comprehensive experiment on two benchmark speech emotion datasets, the Toronto English Speech Set (TESS) and the Berlin Emotional Database (EMODB). The results of our extensive experiment demonstrate a considerable improvement in speech emotion recognition accuracy attesting to its generalizability as it achieved 98%, 91%, and 93% (TESS-EMODB) accuracy respectively on the datasets. The outcomes of the comparative experiment show that the non-overlapping patch-based feature extraction method substantially improves the discipline of speech emotion recognition. Our research indicates the potential for integrating vision transformer models into SER systems, opening up fresh opportunities for real-world applications requiring accurate emotion recognition from speech compared with other state-of-the-art techniques.
Topics: Humans; Emotions; Speech; Deep Learning; Speech Recognition Software; Databases, Factual; Algorithms
PubMed: 38849422
DOI: 10.1038/s41598-024-63776-4