Brian M Cerny, Sophie I Leib, Anthony D Robinson, Devin M Ulrich, Matthew S Phillips, Eun-Jeong Lee, Jason R Soble
{"title":"Neurocognitive phenotypes among adults with attention-deficit hyperactivity disorder: A latent profile analysis.","authors":"Brian M Cerny, Sophie I Leib, Anthony D Robinson, Devin M Ulrich, Matthew S Phillips, Eun-Jeong Lee, Jason R Soble","doi":"10.1037/neu0000991","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</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. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":19205,"journal":{"name":"Neuropsychology","volume":"39 2","pages":"187-199"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuropsychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/neu0000991","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
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.