Clinical Neuropsychologist最新文献

{"title":"Feasibility of AI-powered assessment scoring: Can large language models replace human raters?","authors":"Michael Jaworski, Jacob Balconi, Celeste Santivasci, Matthew Calamia","doi":"10.1080/13854046.2025.2552289","DOIUrl":"https://doi.org/10.1080/13854046.2025.2552289","url":null,"abstract":"<p><p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. Performance of ChatGPT-4.5 was compared against human raters on scoring record forms (i.e. word lists, numeric tables, and drawing responses). <b>Method:</b> Thirty-five deidentified BICAMS protocols, including the Symbol Digit Modalities Test (SDMT), California Verbal Learning Test-II (CVLT-II), and Brief Visuospatial Memory Test-Revised (BVMT-R), were independently scored by two trained human raters and ChatGPT-4.5. Scoring with ChatGPT-4.5 involved uploading protocol scans and structured prompts. Scoring discrepancies were resolved by a blinded third rater. Intraclass correlation coefficients (ICCs), paired samples <i>t</i>-tests, and descriptive statistics evaluated interrater reliability, accuracy, and speed. <b>Results:</b> Before public release of ChatGPT-4.5, strong interrater reliability was found between ChatGPT-4.5 and human raters on all total scores (e.g. CVLT-II ICC = 0.992; SDMT ICC = 1.000; BVMT-R ICC = 0.822-853), with minimal scoring discrepancies per test (CVLT = 1.05, SDMT = 0.05, BVMT-<i>R</i> = 1.05-1.19). ChatGPT-4.5 identified scoring errors overlooked by two human raters and completed scoring of each BICAMS protocol in under 9 min. After ChatGPT-4.5 was publicly released, reliability decreased notably (e.g. ICC = -0.046 for BVMT-R Trial 3), and average scoring discrepancies per test increased (e.g. SDMT = 6.79). <b>Conclusions:</b> ChatGPT-4.5 demonstrated comparable accuracy relative to human raters, though performance variability emerged after public release. With adequate computational resources and prompt/model optimization, LLMs may streamline neuropsychological assessment, enhancing clinical efficiency, and reducing human errors.</p>","PeriodicalId":55250,"journal":{"name":"Clinical Neuropsychologist","volume":" ","pages":"1-14"},"PeriodicalIF":2.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using machine learning to predict concussion recovery time: The importance of psychological and symptomatic factors.","authors":"Ellen Taylor, Logan Shurtz, Stephen C Bunt, Nyaz Didehbani, C Munro Cullum, Kristin Wilmoth","doi":"10.1080/13854046.2025.2547933","DOIUrl":"https://doi.org/10.1080/13854046.2025.2547933","url":null,"abstract":"<p><strong>Objectives: </strong>The objectives were threefold: 1) To utilize machine learning (ML) to create a model for predicting concussion recovery time using routine clinical metrics, 2) To compare predictive factors within a ML model to previously identified risk factors, and 3) To compare predictive ability of ML models to traditional logistic regression.</p><p><strong>Methods: </strong>North Texas Concussion Registry (ConTex) data were prospectively collected during an initial post-injury clinic visit and 3-month follow-up. ML models classified 1000 participants with sport- or recreation-related injuries, ages 6-59, into ordinal recovery time groups. Models were trained on an 80-20 train-test split with 5-fold cross validation. Performance was evaluated using area under the curve (AUC). Feature predictive importance was measured using Leave One Feature Out (LOFO) metrics and Permutation Feature Importance (PFI).</p><p><strong>Results: </strong>A CatBoost binary ML model classified participants into ≤14-d or >14-d recovery with an AUC of 0.79, similar to the logistic regression AUC of 0.77. In contrast, the multiclass model for recovery time had a lower AUC of 0.69. Time to clinic, symptom severity, and factors related to self-reported depressive symptoms, anxiety, and sleep quality had the largest feature importance values in the CatBoost model.</p><p><strong>Conclusions: </strong>Post-injury depressive symptoms, anxiety, and sleep had a stronger influence in predicting prolonged recovery time than previously identified injury-related variables (e.g. loss of consciousness, headache). While promising, ML may not outperform traditional models depending on the simplicity and linearity of the predictor variables.</p>","PeriodicalId":55250,"journal":{"name":"Clinical Neuropsychologist","volume":" ","pages":"1-17"},"PeriodicalIF":2.7,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-term practice effects on measures of cognition and daily functioning in older adults.","authors":"Kevin Duff, Ellie Reeves, Mika Veres, Audrey Gobeo, Takehiko Yamaguchi, Tania Giovannetti, Maureen Schmitter-Edgecombe","doi":"10.1080/13854046.2025.2550356","DOIUrl":"https://doi.org/10.1080/13854046.2025.2550356","url":null,"abstract":"<p><p><b>Objective:</b> Practice effects on neuropsychological tests have been widely documented. However, little is known about whether improvements occur when measures of daily functioning are repeated. Therefore, the current study examined short-term practice effects on both neuropsychological and functional measures. <b>Method:</b> One hundred ninety-four older adults, 86% of whom were cognitively unimpaired and 14% of whom were cognitively impaired, completed a battery of neuropsychological and functional (both rating scales and performance-based measures) assessments during a baseline visit (Time 1) and again approximately one week later (Time 2). Repeated measures ANCOVAs evaluated for changes from Time 1 to Time 2 on both sets of tests. <b>Results:</b> Statistically significant improvements were observed across one week on the neuropsychological test scores (<i>p</i><.001), especially on the memory tests. Additionally, significant improvements were observed on the functional test scores (<i>p</i><.001) from Time 1 to Time 2, especially on the performance-based measures. Interactions between group (unimpaired vs. impaired) and time were observed on the neuropsychological scores, but not the functional scores. However, these interaction analyses were limited by a small number of impaired participants. <b>Conclusions:</b> Consistent with our hypothesis, short-term practice effects were observed on both neuropsychological and functional measures; however, they tended to be larger on the neuropsychological measures. While further research is required, short-term stability/changes in cognitive and functional measures may predict long-term stability/changes in those measures, with the absence of practice effects potentially serving as an indicator of the development of dementia.</p>","PeriodicalId":55250,"journal":{"name":"Clinical Neuropsychologist","volume":" ","pages":"1-16"},"PeriodicalIF":2.7,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of cognitive intraindividual variability with Alzheimer's disease risk: A systematic review.","authors":"Fini Chang, Fareshte Erani, Daniel Landaverde, Caitlin M Terao, Alexis Spence, Alyson Zabala, Thiri H Aung, Jessica Wilde, Kelsey R Thomas, Katherine J Bangen","doi":"10.1080/13854046.2025.2547931","DOIUrl":"https://doi.org/10.1080/13854046.2025.2547931","url":null,"abstract":"<p><p><b>Objective:</b> Cognitive intraindividual variability (IIV) refers to an individual's variability in performance across cognitive measures and includes inconsistency and dispersion. While IIV has been studied in the context of cognitive aging, its application to Alzheimer's disease (AD) is more recent. This review synthesizes current research on IIV in AD risk, evaluating the role of IIV in distinguishing between cognitive stages and exploring associations with biomarkers to elucidate underlying mechanisms. <b>Method:</b> A systematic search strategy was employed across three electronic databases (PubMed, PsycINFO, and Web of Science) adhering to PRISMA guidelines. Forty-four studies met inclusion criteria and were included in the review. <b>Results:</b> Of the 44 reviewed articles, 19 examined inconsistency, 23 examined dispersion, and 2 studies examined both. Inconsistency-based studies broadly showed that greater IIV was associated with increased severity of cognitive impairment, particularly in mild cognitive impairment (MCI) and AD dementia. Findings of dispersion-based studies were mixed but largely revealed that higher IIV was associated with MCI and predicted incident dementia. Both IIV metrics suggested relationships between IIV and AD biomarkers (e.g. amyloidosis). <b>Conclusions:</b> Despite some variability in findings across studies, measures of inconsistency and dispersion are associated with cognitive impairment, cognitive decline, and AD biomarkers, even after adjusting for mean cognitive performance. The results expand upon prior studies, with more restrictive inclusion criteria, by including studies examining broad AD risk. There remains a lack of consensus on IIV assessment methods, complicating direct comparisons, but IIV measures have shown considerable potential for identifying individuals at risk of dementia.</p>","PeriodicalId":55250,"journal":{"name":"Clinical Neuropsychologist","volume":" ","pages":"1-36"},"PeriodicalIF":2.7,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mind the gap: Bridging training divides in neuropsychology with the Culturally Expressive and Responsive Supervision Model.","authors":"Beatriz MacDonald, Adriana M Strutt, Jennifer M Stinson","doi":"10.1080/13854046.2025.2547929","DOIUrl":"https://doi.org/10.1080/13854046.2025.2547929","url":null,"abstract":"<p><p><b>Objective:</b> Despite advancements in supervisory practices within formal and informal training environments, learners continue to report instances of harmful supervision. The current paper builds on the Culturally Expressive and Responsive (CER) Supervision Model and demonstrates its application to contemporary neuropsychological practice and training. <b>Method:</b> Placing identity development and culturally informed practice at its center, the CER Supervision Model offers supervisors and learners a framework for addressing current training challenges in neuropsychology. <b>Results:</b> Key topics explored include cultivating a self-reflective practice for both supervisors and trainees, emphasizing identity development as a critical aspect of professional development, and building an educational alliance in supervision. The current paper outlines practical steps for enhancing supervisory practices, including mindful integration of supervision philosophy and practice, and ongoing supervisor skill development. <b>Conclusions:</b> By addressing these critical areas, the CER Supervision Model in neuropsychology aims to foster a tailored, more effective, culturally responsive, and ethically sound bidirectional training environment.</p>","PeriodicalId":55250,"journal":{"name":"Clinical Neuropsychologist","volume":" ","pages":"1-17"},"PeriodicalIF":2.7,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Society for Clinical Neuropsychology's 2023 strategic plan: Focus group and survey results.","authors":"Scott A Sperling, Lynette Abrams-Silva, Franchesca Arias, Samantha DeDios-Stern, Olivia Houge, Amy J Jak, Justin E Karr, Tricia Z King, Cynthia S Kubu, David Lechuga, Michelle R Madore, Nymisha Mandava, Shawn M McClintock, Emily C Murriel, Becky Ready, Zachary J Resch, Paula Shear, Anthony Y Stringer, Sara L Weisenbach, Margaret Lanca","doi":"10.1080/13854046.2025.2547020","DOIUrl":"https://doi.org/10.1080/13854046.2025.2547020","url":null,"abstract":"<p><strong>Objective: </strong>Between May 2021 and January 2022, the American Psychological Association (APA) Division 40: Society for Clinical Neuropsychology's (SCN) Strategic Planning Committee conducted multiple methods of data collection to inform the development of an organizational strategic plan.</p><p><strong>Methods: </strong>Professional consultants conducted semi-structured interviews with members of the SCN Executive Committee (EC) and targeted focus groups in May and June 2021. SCN members and non-member neuropsychology interested parties were surveyed between October 2021 and January 2022 about their perspectives of 1) membership satisfaction, 2) the historical and current strengths and weaknesses of the SCN, 3) equity, diversity, and inclusion (EDI) within the SCN and clinical neuropsychology, 4) current and potential membership benefits, 5) professional challenges and difficulties facing the specialty, and 6) areas that the SCN should prioritize when investing its resources.</p><p><strong>Results: </strong>Seven and five major themes were identified from the EC interviews and focus groups, respectively. These themes overlapped with data from the strategic planning survey, which was completed by nearly 700 people with diverse professional and personal identities. Overall, the data indicated high membership satisfaction and a desire for the SCN to strengthen its professional advocacy, better leverage its relationship with the APA, infuse EDI throughout the organization, and enhance member benefits and professional development opportunities across the career span.</p><p><strong>Conclusions: </strong>Member satisfaction with the SCN is high. Members and non-members believe that the SCN should expend its resources to bolster its professional advocacy and EDI efforts, thereby increasing its value proposition, long-term viability, and value to society.</p>","PeriodicalId":55250,"journal":{"name":"Clinical Neuropsychologist","volume":" ","pages":"1-21"},"PeriodicalIF":2.7,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144979414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intra-individual cognitive variability predicts the trajectory of longitudinal neurocognitive and functional decline.","authors":"Shayne S-H Lin, Mengya Xia, Rebecca S Allen","doi":"10.1080/13854046.2025.2541661","DOIUrl":"10.1080/13854046.2025.2541661","url":null,"abstract":"<p><p><b>Objective:</b> Intra-individual cognitive variability (IICV) has been found to predict cognitive decline and dementia incidence among older adults based on a one follow-up testing paradigm while the association between IICV and daily functioning is less studied. The current study intended to investigate the predictability of IICV on the trajectory of decline in cognition and self-report daily functioning among older adults, tracked with multiple time points. <b>Method:</b> The current study employed a diverse, longitudinal, archival data set from the Rush Alzheimer's Disease Center (<i>N</i> = 4,319) and examined 5 waves of data with growth curve modeling. Multiple sensitivity analyses were followed up to scrutinize the robustness of study results, accounting for demographic covariates, baseline mean cognitive performance, skewness, and attrition. <b>Results:</b> Results supported the main hypothesis that the trend of IICV predicted the trajectory of cognition, <i>β</i> = .-57, <i>p</i> = .002, and self-reported daily functioning, β = .48, <i>p</i> = .037, and the results were robust against the inclusion of covariates, skewness, and attrition. <b>Conclusions:</b> With a rigorous methodology and statistical approach, the current study contributed to the scientific and medical understanding of IICV and lent support to the clinical use of IICV in neuropsychological assessment. Methodological strengths and limitations were noted.</p>","PeriodicalId":55250,"journal":{"name":"Clinical Neuropsychologist","volume":" ","pages":"1-20"},"PeriodicalIF":2.7,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144876843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Montefiore Einstein Robust Geriatric Normative Project (MERGER-NP): Base rates of score discrepancies, cognitive dispersion, and impairment thresholds on the RBANS and select neuropsychological tests.","authors":"Bryan M Freilich, Roee Holtzer","doi":"10.1080/13854046.2025.2547932","DOIUrl":"https://doi.org/10.1080/13854046.2025.2547932","url":null,"abstract":"<p><p><b>Objective:</b> This study developed and validated multivariate base rates for interpreting neuropsychological tests in older adults. We extended the clinical utility of the Montefiore Einstein Robust Geriatric (MERGER) norms by quantifying score discrepancies, cognitive dispersion, and low scores at different impairment thresholds on the RBANS and select neuropsychological tests. <b>Method:</b> The normative (MERGER) sample comprised 420 community-residing older adults. Base rates were calculated for select score discrepancies, cognitive dispersion (intraindividual standard deviation [ISD] and coefficient of variation [CoV]), and low scores at different impairment thresholds. Clinical validation analyses examined the sensitivity of base rate-derived cutoffs for cognitive dispersion and low scores at different impairment thresholds in identifying MCI and dementia, fixing specificity at 90% by selecting cutoffs corresponding to a 10% base rate in the MERGER sample. <b>Results:</b> Convenient look-up tables provide base rates for score discrepancies, dispersion, and low scores. Validation analyses showed that impairment thresholds and CoV from the full battery were highly effective at identifying dementia (sensitivity up to 87%, AUC up to 0.96) and moderately sensitive to MCI (sensitivity up to 54%, AUC up to 0.80). ISD, however, demonstrated modest sensitivity (23-31%) with lower AUCs (0.63-0.75). Diagnostic ability for domain-specific dispersion indices was generally lower than for the full battery. <b>Conclusions:</b> These multivariate base rates enhance the clinical interpretation of neuropsychological data in older adults by quantifying the likelihood of observed performance patterns, specifically score discrepancies, cognitive dispersion, and low score thresholds. The high sensitivity of impairment thresholds highlight their potential as diagnostic markers of dementia.</p>","PeriodicalId":55250,"journal":{"name":"Clinical Neuropsychologist","volume":" ","pages":"1-29"},"PeriodicalIF":2.7,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144876844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital language measures capture episodic memory disruptions in people with human immunodeficiency virus: A machine learning study.","authors":"Lucas Federico Sterpin, Camilo Avendaño Avello, Jeremías Inchauspe, Gonzalo Nicolás Pérez, Franco J Ferrante, Agustina Birba, Carolina A Gattei, Lorena Abusamra, Bárbara Sampedro, Valeria Abusamra, Lucía Amoruso, Adolfo M García","doi":"10.1080/13854046.2025.2545943","DOIUrl":"10.1080/13854046.2025.2545943","url":null,"abstract":"<p><p><b>Objective:</b> Human immunodeficiency virus (HIV) often affects episodic memory. Yet, standard measures of this domain are derived from clinicians' simple counts of recalled and omitted pieces of information, undermining robustness, informativeness, and scalability. Here, we present an automated natural language processing (NLP) approach that tackles such limitations. <b>Methods:</b> We recruited 92 participants (50 people living with HIV and 42 controls), who performed a story retelling task. Using NLP tools, we compared the retellings and the original story in terms of verbosity, semantic acuity, and organizational structure. <b>Results:</b> We found that people living with HIV produced fewer nouns and had poorer semantic acuity and organizational similarity. Moreover, machine learning classifiers robustly differentiated between the two groups. <b>Conclusion:</b> These results suggest that our digital approach can reveal fine-grained episodic memory alterations in people living with HIV, offering an objective, scalable, and cost-effective complement to standard cognitive testing.</p>","PeriodicalId":55250,"journal":{"name":"Clinical Neuropsychologist","volume":" ","pages":"1-25"},"PeriodicalIF":2.7,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144876834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Society for Clinical Neuropsychology's 2023 strategic plan: Group differences in strategic planning survey results.","authors":"Scott A Sperling, Lynette Abrams-Silva, Franchesca Arias, Samantha DeDios-Stern, Olivia Houge, Amy J Jak, Justin E Karr, Tricia Z King, Cynthia S Kubu, Margaret Lanca, David Lechuga, Michelle R Madore, Nymisha Mandava, Shawn M McClintock, Emily C Murriel, Becky Ready, Zachary J Resch, Paula Shear, Anthony Y Stringer, Sara L Weisenbach","doi":"10.1080/13854046.2025.2547014","DOIUrl":"https://doi.org/10.1080/13854046.2025.2547014","url":null,"abstract":"<p><strong>Objectives: </strong>To examine differences between demographic and cultural identity group responses on the Society for Clinical Neuropsychology's (SCN) Strategic Planning Survey.</p><p><strong>Methods: </strong>Respondents were grouped into self-identified demographic and cultural identity groups. Descriptive statistics were used to summarize responses to demographic and survey data. We used Chi-square and Fisher's Exact tests to compare group differences. Adjusted residuals were calculated for post-hoc testing, when appropriate.</p><p><strong>Results: </strong>Membership satisfaction was high across groups. Respondents who identified as persons of color, women, with a disability, or students/trainees were more likely to indicate that the SCN could better represent them by increasing diversity and inclusion efforts. Persons of color and other historically marginalized/minoritized groups viewed the SCN's equity, diversity, and inclusion (EDI) efforts as less successful than comparative groups, but they expressed more optimism that initiatives could increase the engagement of persons of color in the SCN. Respondents earlier in their career and from marginalized/minoritized groups more frequently viewed the lack of diversity in clinical neuropsychology as an important issue facing the specialty and the desire for the SCN to prioritize improving EDI within clinical neuropsychology. Women and earlier career respondents were more likely to indicate that the SCN should focus efforts on increasing clinical neuropsychology's value to society.</p><p><strong>Conclusions: </strong>Respondents earlier in their careers and from marginalized/minoritized groups were more likely to identify EDI related issues as significant to the SCN and specialty, and a desire for the SCN to prioritize efforts to improve EDI.</p>","PeriodicalId":55250,"journal":{"name":"Clinical Neuropsychologist","volume":" ","pages":"1-18"},"PeriodicalIF":2.7,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144876845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}