Beyond the diagnostic label: Data-driven characterisation of cognitive and mental health profiles in a transdiagnostic sample of neurodivergent adults.

IF 2 4区 心理学 Q3 CLINICAL NEUROLOGY
Karin Madericova, Joel B Talcott
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引用次数: 0

Abstract

Neurodiverse diagnoses (NDs) have been largely conceptualised as distinct categories with clear-cut diagnostic boundaries. However, converging research evidence is showing that this conventional approach may inadequately capture the individual variation and overlaps that are commonly observed in population studies. This study extended emerging quantitative research frameworks for understanding diagnostic complexity, adopting a transdiagnostic dimensional approach toward characterising the cognitive and mental health dimensions associated with NDs. A cohort of 175 adults with suspected or previously diagnosed neurodiverse conditions was recruited using convenience sampling. Cognitive domains of executive function, language, attention, processing speed, and memory were assessed using the National Institute of Health (NIH) Cognition Toolbox©. A battery consisting of the Extended Strengths and Weaknesses Assessment of Normal Behavior (E-SWAN), Strengths and Difficulties Questionnaire (SDQ), and Emotion Regulation Skills Questionnaire (ERSQ) was administered to provide additional proxy measures of mental health. Cluster analyses revealed that the sample of neurodivergent adults was best represented by three data-driven clusters, none of which mapped coherently onto traditional diagnostic labels. In contrast, these transdiagnostic groups were best characterised by a combination of strengths and weaknesses along two multivariate dimensions: 1) cognitive flexibility and processing speed, and 2) language, memory, emotional wellbeing, and behavioral regulation. This study provides novel, data-driven evidence to support the emerging dimensional structure of NDs, and highlights several component processes which may contribute to the complexity associated with neurodiversity in adults. These findings may be used to inform future assessment and/or support strategies for neurodivergent adults, beyond those framed by strictly categorical approaches.

超越诊断标签:神经分化成人的跨诊断样本中认知和心理健康概况的数据驱动特征。
神经多样性诊断(NDs)在很大程度上被概念化为具有明确诊断界限的不同类别。然而,越来越多的研究证据表明,这种传统方法可能无法充分捕捉到在人口研究中普遍观察到的个体差异和重叠。本研究扩展了新兴的定量研究框架,以理解诊断的复杂性,采用跨诊断维度的方法来表征与NDs相关的认知和心理健康维度。使用方便抽样方法招募了175名疑似或先前诊断为神经多样性疾病的成年人。使用美国国立卫生研究院(NIH)认知工具箱©评估执行功能、语言、注意力、处理速度和记忆的认知领域。采用由正常行为扩展优缺点评估(E-SWAN)、优势与困难问卷(SDQ)和情绪调节技能问卷(ERSQ)组成的一系列问卷,为心理健康提供额外的代理测量。聚类分析显示,神经分化成人的样本最好由三个数据驱动的聚类来代表,没有一个能连贯地映射到传统的诊断标签。相比之下,这些跨诊断组的最佳特征是在两个多变量维度上的优势和劣势的结合:1)认知灵活性和处理速度;2)语言、记忆、情绪健康和行为调节。本研究提供了新颖的、数据驱动的证据来支持NDs的新兴维度结构,并强调了可能导致成人神经多样性复杂性的几个组成过程。这些发现可以用来告知未来的评估和/或支持策略的神经分化成人,超越那些严格的分类方法框架。
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来源期刊
CiteScore
3.20
自引率
4.50%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Journal of Clinical and Experimental Neuropsychology ( JCEN) publishes research on the neuropsychological consequences of brain disease, disorders, and dysfunction, and aims to promote the integration of theories, methods, and research findings in clinical and experimental neuropsychology. The primary emphasis of JCEN is to publish original empirical research pertaining to brain-behavior relationships and neuropsychological manifestations of brain disease. Theoretical and methodological papers, critical reviews of content areas, and theoretically-relevant case studies are also welcome.
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