Purpose: This mixed-methods study aimed to obtain information regarding speech-language pathologists' (SLPs) perspectives about treatment of lateralization errors (LEs), challenges to implementing ...evidence-based LE treatment practice, and the sources SLPs' use to find evidence to treat LEs. This information can assist our understanding of ways to facilitate the uptake of evidence-based practice into the everyday treatment of clients with this disorder. Method: A convergent parallel mixed-methods design was used to collect data from SLPs (N = 214) using 24 questions from an online survey distributed through electronic mailing lists and Speech and Hearing State Associations. Quantitative data were analyzed using frequencies and averages; themes and subthemes of qualitative data were analyzed using a content analysis approach with no a priori codes. Quantitative and qualitative results were compared and integrated. Results: Participants believed that LEs required individualized treatment before the age of 5 years, were largely caused by structural and neuromuscular factors, and required an understanding of orofacial and dental structure and function. Challenges to implementing LE treatment included a lack of skills and knowledge specific to LEs, competing demands on clinicians' time and resources, and a research-practice gap. Sources of evidence frequently used to obtain information about LE treatment were colleagues, trainings, workshops, and American Speech-Language-Hearing Association journals. Conclusions: Clinicians believe that LE treatment is challenging and requires skill training. Future research in LEs will need to consider the real-world decisions clinicians must make when treating this disorder as well as clinicians' everyday constraints and challenges.
From an ongoing multicenter effort toward differentiation of Parkinsonian spectrum disorders (PSD) from other types of neurodegenerative disorders, the sleep biomarker non-rapid-eye-movement sleep ...with hypertonia (NRH) emerged.
This study included in the PSD group patients with dementia with Lewy bodies/Parkinson disease dementia (DLB/PDD = 16), Parkinson disease (PD = 16), and progressive supranuclear palsy (PSP = 13). The non-PSD group included patients with Alzheimer disease dementia (AD = 24), mild cognitive impairment (MCI = 35), and a control group with normal cognition (CG = 61). In-home, multi-night Sleep Profiler studies were conducted in all participants. Automated algorithms detected NRH, characterized by elevated frontopolar electromyographic power. Between-group differences in NRH were evaluated using Logistic regression, Mann-Whitney U and Chi-squared tests.
NRH was greater in the PSD group compared to non-PSD (13.9 ± 11.0% vs. 3.1 ± 4.7%, P < 0.0001). The threshold NRH≥5% provided the optimal between-group differentiation (AUC = 0.78, P < 0.001). NRH was independently associated with the PSD group after controlling for age, sex, and SSRI/SNRI use (P < 0.0001). The frequencies of abnormal NRH by subgroup were PSP = 92%, DLB/PDD = 81%, PD = 56%, MCI = 26%, AD = 17%, and CG = 16%. The odds of abnormal NRH in each PSD subgroup ranged from 3.7 to 61.2 compared to each non-PSD subgroup. The night-to-night and test-retest intraclass correlations were excellent (0.78 and 0.84, both P < 0.0001).
In this pilot study, NRH appeared to be a novel candidate sleep biomarker for PSD-related neurodegeneration. Future studies in larger cohorts are needed to confirm these findings, understand the etiology of NRH magnitude/duration, and determine whether it is an independent prodromal marker for specific neurodegenerative pathologies.
•Sleep biomarker Non-REM Hypertonia (NRH) was associated with Parkinsonian Spectrum Disorders.•The characterization of abnormal NRH appeared to be independent of age, sex, and SSRI/SNRI use.•The frequencies of abnormal NRH varied across Parkinsonian Spectrum Disorder subgroups.•The presence of abnormal NRH was very consistent, showing strong short- and long-term reliability.
Background
Neurodegenerative disease (NDD) is associated with sleep disturbances, including decreased stage N3 and REM sleep and reduced spindle activity. Further, supine sleep position may impact ...NDD risk by altering glymphatic clearance. This study evaluated conventional and exploratory sleep metrics in the differentiation of subjects with normal cognition (NC) and patients with Alzheimer’s disease dementia (AD) and alpha‐synucleinopathies (α‐Syn).
Method
Home sleep data were acquired across multiple study sites using the self‐applied Sleep ProfilerTM, including 44 NC subjects (age=69+5.0), 22 patients diagnosed with AD (age=75+7.1) and 25 with α‐Syn (Parkinson’s disease=14, Parkinson’s disease with Dementia or Dementia with Lewy Bodies=11; age=69+6.9). Recordings were auto‐staged and technically reviewed, with 86% of the records having two‐night averages. Logistic regression and Mann‐Whitney U tests were used to characterize group differences based on age, conventional sleep metrics (i.e., sleep efficiency, sleep onset (SO), awakenings, percent of sleep time (%) in REM,N1, N2 and N3, and sleep spindles) and exploratory sleep measures i.e., % supine, % Light N2 (L2=N2 epochs absent of spindles with K‐complexes and/or alpha or EMG (>40 Hz) intrusion), % NREM sleep with hypertonia (NRSH=>4 consecutive epochs with persistently elevated EMG power relative to delta and theta power) and % atypical N3 (AN3=epochs staged N3 with low theta and sigma power relative to delta, alpha, beta and EMG).
Result
AD were older than both NC and α‐Syn patients (p<0.005). Both AD and α‐Syn had lower %REM and greater %supine than NC (p<0.005), and %NRSH was greater in α‐Syn than NC or AD (p<0.005). Based on logistic regression, AD was differentiated from NC based on age, %REM, %L2 (p<0.05) and %supine (p=0.06). α‐Syn was distinguished from NC using both conventional (%N3 and SO, p<0.05) and exploratory sleep metric (%AN3 and %NRSH, p<0.05; %supine, p=0.06). Age (p=0.05) and %NRSH (p<0.01) were the only metrics that differentiated α‐Syn from AD.
Conclusion
Objective home sleep profiles hold promise for differentiating NDD patients from NC. The sleep metrics that provided the greatest distinction between NDD and NC were %REM, %supine and NRSH, while only NRSH distinguished AD from α‐Syn patients. Further confirmatory studies are underway.
This review represents the eighth in an annual special feature in Police Practice and Research: An International Journal. With a focus on the substantive categories, publication medium and ...methodological typology, this study provides a cross-sectional analysis of the police literature for 2007. We also comment on trends within these categories over time, using the findings from Beckman, Lum, Wyckoff and Larsen-Vanderwall (2003) and other previous editions of this annual review. A topically organized bibliography of the 2007 police literature reviewed is also provided.
In this paper, we identify and characterize the emerging area of representation engineering (RepE), an approach to enhancing the transparency of AI systems that draws on insights from cognitive ...neuroscience. RepE places population-level representations, rather than neurons or circuits, at the center of analysis, equipping us with novel methods for monitoring and manipulating high-level cognitive phenomena in deep neural networks (DNNs). We provide baselines and an initial analysis of RepE techniques, showing that they offer simple yet effective solutions for improving our understanding and control of large language models. We showcase how these methods can provide traction on a wide range of safety-relevant problems, including honesty, harmlessness, power-seeking, and more, demonstrating the promise of top-down transparency research. We hope that this work catalyzes further exploration of RepE and fosters advancements in the transparency and safety of AI systems.
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