Manipulating and measuring variation in deep neural network (DNN) representations of objects.

We explore how DNNs can be used to develop a computational understanding of individual differences in high-level visual cognition given their ability to generate rich meaningful object representations informed by their architecture, experience, and training protocols. As a first step to quantifying individual differences in DNN representations, we systematically explored the robustness of a variety of representational similarity measures: Representational Similarity Analysis (RSA), Centered Kernel Alignment (CKA), and Projection-Weighted Canonical Correlation Analysis (PWCCA), with an eye to how these measures are used in cognitive science, cognitive neuroscience, and vision science. To manipulate object representations, we next created a large set of models varying in random initial weights and random training image order, training image frequencies, training category frequencies, and model size and architecture and measured the representational variation caused by each manipulation. We examined both small (All-CNN-C) and commonly-used large (VGG and ResNet) DNN architectures. To provide a comparison for the magnitude of representational differences, we established a baseline based on the representational variation caused by image-augmentation techniques used to train those DNNs. We found that variation in model randomization and model size never exceeded baseline. By contrast, differences in training image frequency and training category frequencies caused representational variation that exceeded baseline, with training category frequency manipulations exceeding baseline earlier in the networks. These findings provide insights into the magnitude of representational variations that can be expected with a range of manipulations and provide a springboard for further exploration of systematic model variations aimed at modeling individual differences in high-level visual cognition.

The relation between reading and externalizing behavior: a correlational meta-analysis.

Reading proficiency is important because it has life-long consequences and influences success in other academic areas. Many students with behavior problems are poor readers and many students with learning disabilities have more behavior problems than their typical peers. We conducted a correlational meta-analysis to examine the association between reading and externalizing behavior in students ages 5-12. We identified 33 studies that reported 88 effect sizes. Using a random-effects linear regression model with robust variance estimation, we found a significant, negative correlation (r= -0.1698, SE = 0.01, p < 0.0001) between reading and externalizing behavior. We tested several moderators related to measurement and sample characteristics. We found that rater type, behavior dimension (e.g., aggression), time between longitudinal measurement points, age of the sample, and percentage male of the sample moderated the relation between reading and behavior. Whether the reading assessment measured comprehension or word reading and socioeconomic status of the sample did not moderate the relation. Understanding the association between reading and externalizing behavior has implications for disability identification and intervention practices for children in elementary school. Future research should examine shared cognitive factors and environmental influences that explain the relation between the constructs.

Definitive single-stage surgery for treating diabetic foot osteomyelitis: a protocolized pathway including antibiotic bone graft substitute use.

BACKGROUND: Diabetic foot ulcers (DFUs) are a challenging complication of diabetes mellitus, often leading to poor clinical outcomes and significant socioeconomic burdens. We evaluated the effectiveness of a definitive single-stage protocolized surgical management pathway, including the use of local antibiotic bone graft substitute, for the treatment of infected DFUs with associated osteomyelitis. METHODS: A retrospective cohort study was conducted. Medical records were extracted (from January 2017 to December 2020) to establish a database consisting of patients who underwent surgical intervention for the treatment of an infected DFU with osteomyelitis. Patients were divided into conventional (control) and protocolized (intervention) surgical groups depending on the treatment received. Clinical outcomes were assessed over a 12-month follow-up period. RESULTS: A total of 136 consecutive patients were included (conventional = 33, protocolized = 103). The protocolized group demonstrated a statistically significant reduction in the mean number of operations performed per patient (1.2 vs. 3.5) (P < 0.001) and a shorter accumulative hospital length of stay (12.6 vs. 25.1 days) (P < 0.001) compared to the conventional group. Major amputation rates were significantly lower in the protocolized group (2% vs. 18%) (P < 0.001). Within 12 months of surgical intervention, the protocolized group exhibited an ulcer healing rate of 89%, with a low rate of recurrence (3%). CONCLUSION: The protocolized surgical pathway, including local antibiotic bone graft substitute use, demonstrated superior outcomes compared to conventional management for the treatment of infected DFUs with osteomyelitis. Further research is needed to evaluate the cost-effectiveness and generalizability of this approach.

Single-case design effect-size distributions: Association with procedural parameters.

Visual analysis is historically and conventionally used to draw conclusions about outcomes in single-case studies, but researchers are increasingly using effect sizes to supplement conclusions drawn about functional relations with additional information about magnitude of behavior change. However, there is limited information about the extent to which methodological choices (i.e., design type, measurement system) may impact the magnitude of behavior change. We conducted a systematic review of interventions conducted in elementary school classrooms to characterize effect sizes for engagement behaviors and challenging behaviors in those studies. We found that researchers most often used A-B-A-B and multiple baseline across-participants designs, that a variety of measurement systems were used for engagement but not challenging behavior, and that some variability in effect-size distributions can be explained by dependent variable type, design type, and measurement system. The empirically derived distributions from this study may be helpful for single-case researchers to contextualize past, ongoing, and future work related to engagement and challenging behavior. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Measuring object recognition ability: Reliability, validity, and the aggregate z-score approach.

Measurement of domain-general object recognition ability (o) requires minimization of domain-specific variance. One approach is to model o as a latent variable explaining performance on a battery of tests which differ in task demands and stimuli; however, time and sample requirements may be prohibitive. Alternatively, an aggregate measure of o can be obtained by averaging z-scores across tests. Using data from Sunday et al., Journal of Experimental Psychology: General, 151, 676-694, (2022), we demonstrated that aggregate scores from just two such object recognition tests provide a good approximation (r = .79) of factor scores calculated from a model using a much larger set of tests. Some test combinations produced correlations of up to r = .87 with factor scores. We then revised these tests to reduce testing time, and developed an odd one out task, using a unique object category on nearly every trial, to increase task and stimuli diversity. To validate our measures, 163 participants completed the object recognition tests on two occasions, one month apart. Providing the first evidence that o is stable over time, our short aggregate o measure demonstrated good test-retest reliability (r = .77). The stability of o could not be completely accounted for by intelligence, perceptual speed, and early visual ability. Structural equation modeling suggested that our tests load significantly onto the same latent variable, and revealed that as a latent variable, o is highly stable (r = .93). Aggregation is an efficient method for estimating o, allowing investigation of individual differences in object recognition ability to be more accessible in future studies.

Distinct but related abilities for visual and haptic object recognition.

People vary in their ability to recognize objects visually. Individual differences for matching and recognizing objects visually is supported by a domain-general ability capturing common variance across different tasks (e.g., Richler et al., Psychological Review, 126, 226-251, 2019). Behavioral (e.g., Cooke et al., Neuropsychologia, 45, 484-495, 2007) and neural evidence (e.g., Amedi, Cerebral Cortex, 12, 1202-1212, 2002) suggest overlapping mechanisms in the processing of visual and haptic information in the service of object recognition, but it is unclear whether such group-average results generalize to individual differences. Psychometrically validated measures are required, which have been lacking in the haptic modality. We investigate whether object recognition ability is specific to vision or extends to haptics using psychometric measures we have developed. We use multiple visual and haptic tests with different objects and different formats to measure domain-general visual and haptic abilities and to test for relations across them. We measured object recognition abilities using two visual tests and four haptic tests (two each for two kinds of haptic exploration) in 97 participants. Partial correlation and confirmatory factor analyses converge to support the existence of a domain-general haptic object recognition ability that is moderately correlated with domain-general visual object recognition ability. Visual and haptic abilities share about 25% of their variance, supporting the existence of a multisensory domain-general ability while leaving a substantial amount of residual variance for modality-specific abilities. These results extend our understanding of the structure of object recognition abilities; while there are mechanisms that may generalize across categories, tasks, and modalities, there are still other mechanisms that are distinct between modalities.

A Mixed-Methods Analysis of Speech-Language Pathologists' Executive Function Services.

PURPOSE: The purpose of this study was to examine school-based speech-language pathologists' (SLPs') implementation of services to address students' executive function (EF) needs, with particular emphasis on the prevalence and characteristics of EF interventions and the factors and barriers that influence service provision for students with EF needs. METHOD: We applied an explanatory sequential mixed-methods research design, beginning with a quantitative survey followed by a series of qualitative interviews. We analyzed the survey results using descriptive data and binary logistic regressions and used the emergent trends to inform our interview protocol, so that we could explore those trends in greater detail and context. We synthesized our quantitative and qualitative data to evaluate the characteristics of EF interventions and the factors influencing services. RESULTS: Most SLPs reported that they addressed their students' EF needs through some sort of direct or indirect intervention. Direct interventions varied by targeted domain, service delivery setting, and teaching techniques, though most SLPs favored strategy instruction and highly contextualized services. Indirect services included accommodations and consultation. SLPs commonly reported the lack of collaborative support, time, and knowledge as barriers, and most reported that professional development would be helpful to improve their services. CONCLUSIONS: Speech-language pathology graduate programs and providers of professional development should be mindful of their role in preparing SLPs to address EF needs, while SLPs may use these results to inform their own practice. Further guidance and research are necessary to elucidate the SLPs' role in mitigating the negative impact of EF challenges on students' education. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.24101241.

Evidence for an amodal domain-general object recognition ability.

A general object recognition ability predicts performance across a variety of high-level visual tests, categories, and performance in haptic recognition. Does this ability extend to auditory recognition? Vision and haptics tap into similar representations of shape and texture. In contrast, features of auditory perception like pitch, timbre, or loudness do not readily translate into shape percepts related to edges, surfaces, or spatial arrangement of parts. We find that an auditory object recognition ability correlates highly with a visual object recognition ability after controlling for general intelligence, perceptual speed, low-level visual ability, and memory ability. Auditory object recognition was a stronger predictor of visual object recognition than all control measures across two experiments, even though those control variables were also tested visually. These results point towards a single high-level ability used in both vision and audition. Much work highlights how the integration of visual and auditory information is important in specific domains (e.g., speech, music), with evidence for some overlap of visual and auditory neural representations. Our results are the first to reveal a domain-general ability, o, that predicts object recognition performance in both visual and auditory tests. Because o is domain-general, it reveals mechanisms that apply across a wide range of situations, independent of experience and knowledge. As o is distinct from general intelligence, it is well positioned to potentially add predictive validity when explaining individual differences in a variety of tasks, above and beyond measures of common cognitive abilities like general intelligence and working memory.

The state of evidence for social and emotional learning: A contemporary meta-analysis of universal school-based SEL interventions.

This article provides a systematic review and meta-analysis of the current evidence for universal school-based (USB) social and emotional learning (SEL) interventions for students in kindergarten through 12th grade available from 2008 through 2020. The sample includes 424 studies from 53 countries, reflecting 252 discrete USB SEL interventions, involving 575,361 students. Results endorsed that, compared to control conditions, students who participate in USB SEL interventions experienced significantly improved skills, attitudes, behaviors, school climate and safety, peer relationships, school functioning, and academic achievement. Significant heterogeneity in USB SEL content, intervention features, context, and implementation quality moderated student experiences and outcomes. Strengths and limitations of this evidence and implications for future USB SEL research, policy, and practice are discussed.

Long-Term Effects of Early Communication Interventions: A Systematic Review and Meta-Analysis.

PURPOSE: Early language and communication interventions for children with language impairments have been shown to be effective in assessments administered immediately after treatment. The purpose of the current systematic review and meta-analysis was to assess the overall durability of those effects over time and whether durability was related to outcome type, etiology of child language impairments, implementer of intervention, magnitude of posttest effects, time between intervention and follow-up, and study risk of bias. METHOD: We conducted a systematic search of online databases and reference lists to identify experimental and quasi-experimental group design studies. All studies tested the effects of early communication interventions at least 3 months post-intervention. Participants were children 0-5 years old with language impairments. Coders identified study features and rated methodological quality indicators for all studies. Effect sizes at long-term timepoints and associations with potential moderators were estimated using multilevel meta-analysis with robust variance estimation. RESULTS: Twenty studies with 129 long-term outcome effect sizes met inclusion criteria. Studies included children with developmental language disorders or language impairment associated with autism. The overall average effect size was small and significant (g = .22, p = .002). Effect size estimates were larger for prelinguistic outcomes (g = .36, p < .001) than for linguistic outcomes (g = .14, p = .101). Significant factors were the posttest effect sizes, the risk of bias for randomized trials, and etiology of language impairment for linguistic outcomes. Time post-intervention did not significantly predict long-term effect sizes. CONCLUSIONS: Outcomes of early language and communication interventions appear to persist for at least several months post-intervention. More research is needed with collection and evaluation of long-term outcomes, a focus on measurement, and consistency of primary study reporting. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.23589648.

Guidance for Increasing Primary Study Inclusion and the Usability of Data in Meta-Analysis: A Reporting Tutorial.

Meta-analyses can be used to comprehensively summarize the state of a given literature base, understand development and relations between constructs, and synthesize intervention effects to identify "what works for whom," all of which can directly inform research, practice, and policy. In this tutorial, we first argue that data reporting in primary studies can meaningfully affect the results of meta-analyses and, most importantly, the subsequent interpretations and use of the findings in research, practice, and policy in speech, language, and hearing sciences. Though reporting guidelines have been well established for the results of meta-analyses, there is limited focus on the essentials for primary study reporting that allow for inclusion in meta-analyses. To this end, we provide guidance for primary study authors to ensure their studies can maximize their contributions to research syntheses and, specifically, to meta-analyses. We discuss current and ongoing issues related to reporting, provide data-based examples of instances where lack of reporting or transparency has rendered a study ineligible from inclusion in a meta-analysis, encourage editorial teams and peer reviewers to be flexible in the inclusion of supplemental data reporting based on journal requirements and limits, and suggest being explicit and earnest about why these requests are important to advancing the field. Supplemental Material: https://doi.org/10.23641/asha.23117996.

Evaluating Research Transparency and Openness in Communication Sciences and Disorders Journals.

PURPOSE: To improve the credibility, reproducibility, and clinical utility of research findings, many scientific fields are implementing transparent and open research practices. Such open science practices include researchers making their data publicly available and preregistering their hypotheses and analyses. A way to enhance the adoption of open science practices is for journals to encourage or require submitting authors to participate in such practices. Accordingly, the American Speech-Language-Hearing Association's Journals Program has recently announced their intention to promote open science practices. Here, we quantitatively assess the extent to which several journals in communication sciences and disorders (CSD) encourage or require participation in several open science practices by using the Transparency and Openness Promotion (TOP) Factor metric. METHOD: TOP Factors were assessed for 34 CSD journals, as well as several journals in related fields. TOP Factors measure the level of implementation across 10 open science-related practices (e.g., data transparency, analysis plan preregistration, and replication) for a total possible score of 29 points. RESULTS: Collectively, CSD journals had very low TOP Factors (M = 1.4, range: 0-8). The related fields of Psychology (M = 4.0), Rehabilitation (M = 3.2), Linguistics (M = 1.7), and Education (M = 1.6) also had low scores, though Psychology and Rehabilitation had higher scores than CSD. CONCLUSION: CSD journals currently have low levels of encouraging or requiring participation in open science practices, which may impede adoption. Open Science Form: https://doi.org/10.23641/asha.21699458.

Speech-Language Pathology Interventions for Children With Executive Function Deficits: A Systematic Literature Review.

PURPOSE: The purpose of this synthesis was to systematically review the research and guidance for school-based speech-language pathologists (SLPs) who provide intervention to children with developmental executive function (EF) deficits, particularly those children with co-occurring developmental language disorder (DLD). METHOD: We conducted a structured search of four major electronic databases, as well as a manual review of references and journals, which yielded 4,571 nonduplicate articles. We screened first titles and abstracts and then full texts to identify peer-reviewed articles, dissertations, and theses containing research or guidance for SLPs' interventions for children with co-occurring DLD and EF deficits; this process yielded 27 articles for analysis. We categorized these studies by type of publication and synthesized their contents to assess the evidence base for EF interventions in children with DLD and to evaluate the guidance for SLP-implemented direct and indirect interventions. RESULTS: A small body of research explores the efficacy of SLPs' intervention for children with co-occurring DLD and EF deficits, generally finding modest but inconsistent effects of cognitive interventions and strategy training to improve language outcomes. Meanwhile, nonempirical articles (e.g., tutorials) offer guidance to SLPs to support students with EF deficits through direct and indirect services. CONCLUSIONS: A growing body of literature equips SLPs with the principles and strategies of EF intervention. Many of these articles are sourced from literature about children with EF deficits or attention-deficit/hyperactivity disorder, but few empirical studies measure the efficacy of these interventions for children with co-occurring DLD. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.21401901.

Empirically-Derived Effect Size Distributions of Interventions for Young Children on the Autism Spectrum.

OBJECTIVE: The purpose of this study is to present a set of empirically derived effect size distributions to provide field-based benchmarks for interpreting the observed effects of interventions for young children on the autism spectrum, and for planning future studies. METHOD: We generated effect size distributions and reported quartile values for each by outcome domain, and by boundedness, proximity, and assessment approach using 1552 effect sizes from 144 early childhood autism intervention studies gathered for a previously published meta-analysis. RESULTS: Quartile values represent considerable heterogeneity in effect size distributions across outcome domains, as well as variability as a function of outcome boundedness, proximity, and assessment approach. CONCLUSIONS: Our results serve as field- and outcome-specific benchmarks (e.g., contextual guides for small, medium, and large effects) that will help autism intervention researchers easily incorporate information from relevant prior empirical literature when conducting power analyses to plan for future studies. Benchmarks will also assist researchers seeking to interpret the magnitude of observed effects in clinical trials relative to the broader distribution of intervention effects on similar outcomes. Nuanced discussions that contextualize study findings in light of relevant empirical benchmarks will better assist practitioners in understanding the magnitude and scope of demonstrated change relative to studies with similar outcomes and selecting interventions for clinical practice. We discuss the limitations of these data, our analyses, as well as directions for future work.

Using social network analysis in applied psychological research: A tutorial.

Social network analysis (SNA) is a highly flexible research method that allows for novel exploration of a wide variety of research phenomena. Evidence from fields as disparate as public health, education, informatics, sociology, and medicine has demonstrated the importance of recognizing the complexity inherent in individuals' connections with others. In this article, we provide a brief conceptual overview of social network theory and methodology, and then demonstrate how to apply SNA to an applied psychological research context studying students embedded in classrooms. We also provide numerous supporting materials on our OSF page, including R code for all analyses, a dataset containing social network data, and a glossary of key terms in social network analysis. We conclude with a set of recommendations for researchers interested in applying SNA to their own contexts and content areas. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Planning Positive Reinforcement Cycles in Behavior Intervention Plans.

Behavior analysts partner with educators in schools to support the creation of behavior intervention plans (BIPs). Assessment and intervention planning often focuses on the relational contingencies between the student and their environment, with little attention paid to the relational contingencies contacted by the educator. In this article, we posit that planning should simultaneously include contingencies for both the student and the educator as BIPs are created. Specifically, we aim to explore a dual-pathway intervention plan in which student and educator access to reinforcement is simultaneously designed to increase both educators' implementation of high-quality instruction and students' engagement and performance. Procedural steps outlining the duality of intervention planning for both the student and the educator, as well as a theoretical model for considering contextual and reinforcement contingencies for both parties, will be detailed in a step-by-step guide to support readers' creation and implementation of plans to support improved educator and student performance. Planning for supporting both the educator and student may increase sustained, high-quality instruction and improved student outcomes for students with behavioral support needs. Supplementary Information: The online version contains supplementary material available at 10.1007/s40617-021-00663-8.

Corneal Pigment Opacity From Face-Down Positioning After Pars Plana Vitrectomy, Treated With Descemet Stripping Only Technique.

PURPOSE: The purpose of this study was to report a case of corneal opacity resulting from pigment deposition after face-down positioning, which was treated with Descemet stripping only (DSO) to enable concurrent pars plana vitrectomy (PPV) for retinal detachment repair. METHODS: A 79-year-old man with a history of Fuchs endothelial dystrophy and retinal detachment presented for the repair of recurrent retinal detachment and evaluation of a central corneal opacity. RESULTS: The patient was found to have significant corneal endothelial pigment deposition obscuring the view to the fundus. A repeat macula-involving retinal detachment was visualized on limited fundoscopic examination and confirmed using ultrasonography. The patient subsequently underwent combination scleral buckle, DSO, and PPV. DSO achieved corneal clarity for the entire duration of the PPV and allowed for the necessary postoperative face-down positioning. Immunohistochemistry of the corneal specimen revealed deposition of retinal pigment epithelium as the origin of the pigment opacity. The corneal edema cleared at postoperative month 4, and the retina remained attached, resulting in an improvement of visual acuity from counting fingers preoperatively to 20/70. DISCUSSION: This is, to the best of our knowledge, the first case describing the formation of a corneal endothelial opacity because of retinal pigment epithelium deposition associated with face-down positioning after PPV for retinal detachment. DSO is a minimally invasive, viable alternative to endothelial keratoplasty or temporary keratoprosthesis placement for the clearance of focal corneal endothelial opacities for PPV.

Absence of a mere-exposure effect in older and younger adults.

The mere-exposure effect, in which repeated stimuli are liked more than novel stimuli, is a well-known effect. However, little research has studied adult age differences in mere-exposure effects, despite possible applications in helping older adults transition to new living environments. Here, we report four experiments assessing mere-exposure to neutral-face stimuli in groups of older and younger adult participants tested online. In each experiment, repeated face exposure did not increase liking within either age group; rather, Bayesian evidence favored the null hypothesis of no effect. Older adults reported higher overall liking ratings relative to younger adults, and both groups preferred younger faces, though this tendency was stronger in the younger group. Further exploratory analysis considering factors such as gender or race of the faces and participants did not reveal any consistent results for the mere-exposure effect. We discuss these findings in relation to other recent studies reporting mixed evidence for mere-exposure effects. (PsycInfo Database Record (c) 2022 APA, all rights reserved).