Brian M Cerny, Sophie I Leib, Anthony D Robinson, Devin M Ulrich, Matthew S Phillips, Eun-Jeong Lee, Jason R Soble
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There may be distinct neurocognitive phenotypes among the population of adults with ADHD.</p><p><strong>Method: </strong>This study utilized latent profile analysis on performance validity-controlled neuropsychological assessment data from a sample of 386 adults with a confirmed diagnosis of ADHD.</p><p><strong>Results: </strong>Three classes were observed. One class with specific deficits in learning and memory (\"Low Learning/Memory\"), one had intact performance across domains (\"High Average\"), and one had deficits in simple and sustained attention and response variability (\"Inattentive\"). Cross-class comparisons revealed adequate multivariate and univariate differences to support taxometric separation across phenotypes. Classes displayed medium-sized differences in estimated intelligence, small differences in ADHD-related inattention and impulsivity, and small differences in symptoms of anxiety and depression. There were no class differences in composition of sex, race/ethnicity, ADHD diagnostic presentation (i.e., inattentive, hyperactive-impulsive, combined), co-occurring diagnoses of mood or learning disorders, history of ADHD diagnosis/treatment, or student status.</p><p><strong>Conclusions: </strong>The present study represents a critical early step in establishing distinct neurocognitive phenotypes among adults with ADHD based on their individual strengths and weaknesses. 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引用次数: 0
摘要
目的:注意缺陷/多动障碍(ADHD)患者的神经认知表现具有异质性;一些ADHD患者表现出神经认知缺陷,而另一些则没有。试图建立ADHD的单一神经认知特征是不成功的。潜在类聚类技术提供了一种更细粒度的方法来检查ADHD的个体间和个体内异质性。在成人ADHD人群中可能存在不同的神经认知表型。方法:本研究对386例确诊为ADHD的成人样本的效能效度控制神经心理学评估数据进行了潜在剖面分析。结果:观察到3个类。一个班级在学习和记忆方面有特定的缺陷(“低学习/记忆”),一个班级在跨领域的表现完好(“高平均”),一个班级在简单和持续的注意力和反应变异性方面有缺陷(“注意力不集中”)。跨类比较显示了足够的多变量和单变量差异,以支持跨表型的分类分离。不同的班级在估计智力方面表现出中等程度的差异,在adhd相关的注意力不集中和冲动方面表现出较小的差异,在焦虑和抑郁症状方面表现出较小的差异。在性别、种族/民族、ADHD诊断表现(即注意力不集中、多动冲动、合并)、同时发生的情绪或学习障碍诊断、ADHD诊断/治疗史或学生身份的构成方面没有班级差异。结论:目前的研究代表了一个关键的早期步骤,建立不同的神经认知表型的成人ADHD患者的个人优势和劣势。(PsycInfo Database Record (c) 2025 APA,版权所有)。
Neurocognitive phenotypes among adults with attention-deficit hyperactivity disorder: A latent profile analysis.
Objective: Neurocognitive performance in attention-deficit/hyperactivity disorder (ADHD) is heterogeneous; some individuals with ADHD demonstrate neurocognitive deficits while others display none. Attempts to establish a singular neurocognitive profile of ADHD have been unsuccessful. Latent class clustering techniques offer a more granular method of examining interindividual and intraindividual heterogeneity in ADHD. There may be distinct neurocognitive phenotypes among the population of adults with ADHD.
Method: This study utilized latent profile analysis on performance validity-controlled neuropsychological assessment data from a sample of 386 adults with a confirmed diagnosis of ADHD.
Results: Three classes were observed. One class with specific deficits in learning and memory ("Low Learning/Memory"), one had intact performance across domains ("High Average"), and one had deficits in simple and sustained attention and response variability ("Inattentive"). Cross-class comparisons revealed adequate multivariate and univariate differences to support taxometric separation across phenotypes. Classes displayed medium-sized differences in estimated intelligence, small differences in ADHD-related inattention and impulsivity, and small differences in symptoms of anxiety and depression. There were no class differences in composition of sex, race/ethnicity, ADHD diagnostic presentation (i.e., inattentive, hyperactive-impulsive, combined), co-occurring diagnoses of mood or learning disorders, history of ADHD diagnosis/treatment, or student status.
Conclusions: The present study represents a critical early step in establishing distinct neurocognitive phenotypes among adults with ADHD based on their individual strengths and weaknesses. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
期刊介绍:
Neuropsychology publishes original, empirical research; systematic reviews and meta-analyses; and theoretical articles on the relation between brain and human cognitive, emotional, and behavioral function.