Daniel R. Leopold
University of Colorado Boulder
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Featured researches published by Daniel R. Leopold.
Journal of Abnormal Psychology | 2012
Bruce F. Pennington; Laura Santerre-Lemmon; Jennifer Rosenberg; Beatriz MacDonald; Richard Boada; Angela Friend; Daniel R. Leopold; Stefan Samuelsson; Brian Byrne; Erik G. Willcutt; Richard K. Olson
The overall goals of this study were to test single versus multiple cognitive deficit models of dyslexia (reading disability) at the level of individual cases and to determine the clinical utility of these models for prediction and diagnosis of dyslexia. To accomplish these goals, we tested five cognitive models of dyslexia--two single-deficit models, two multiple-deficit models, and one hybrid model--in two large population-based samples, one cross-sectional (Colorado Learning Disability Research Center) and one longitudinal (International longitudinal Twin Study). The cognitive deficits included in these cognitive models were in phonological awareness, language skill, and processing speed and/or naming speed. To determine whether an individual case fit one of these models, we used two methods: 1) the presence or absence of the predicted cognitive deficits, and 2) whether the individuals level of reading skill best fit the regression equation with the relevant cognitive predictors (i.e., whether their reading skill was proportional to those cognitive predictors.) We found that roughly equal proportions of cases met both tests of model fit for the multiple deficit models (30-36%) and single deficit models (24-28%); hence, the hybrid model provided the best overall fit to the data. The remaining roughly 40% of cases in each sample lacked the deficit or deficits that corresponded with their best-fitting regression model. We discuss the clinical implications of these results for both diagnosis of school-age children and preschool prediction of children at risk for dyslexia.
Journal of Abnormal Psychology | 2013
Vijay A. Mittal; Tina Gupta; Joseph M. Orr; Andrea Pelletier-Baldelli; Derek J. Dean; Jessica R. Lunsford-Avery; Ashley K. Smith; Briana L. Robustelli; Daniel R. Leopold; Zachary B. Millman
A growing body of evidence suggests that moderate to vigorous activity levels can affect quality of life, cognition, and brain structure in patients diagnosed with schizophrenia. However, physical activity has not been systematically studied during the period immediately preceding the onset of psychosis. Given reports of exercise-based neurogenesis in schizophrenia, understanding naturalistic physical activity levels in the prodrome may provide valuable information for early intervention efforts. The present study examined 29 ultra high-risk (UHR) and 27 matched controls to determine relationships between physical activity level, brain structure (hippocampus and parahippocampal gyrus), and symptoms. Participants were assessed with actigraphy for a 5-day period, MRI, and structured clinical interviews. UHR participants showed a greater percentage of time in sedentary behavior while healthy controls spent more time engaged in light to vigorous activity. There was a strong trend to suggest the UHR group showed less total physical activity. The UHR group exhibited smaller medial temporal volumes when compared with healthy controls. Total level of physical activity in the UHR group was moderately correlated with parahippocampal gyri bilaterally (right: r = .44, left: r = .55) and with occupational functioning (r = -.36; of negative symptom domain), but not positive symptomatology. Results suggest that inactivity is associated with medial temporal lobe health. Future studies are needed to determine if symptoms are driving inactivity, which in turn may be affecting the health of the parahippocampal structure and progression of illness. Although causality cannot be determined from the present design, these findings hold important implications for etiological conceptions and suggest promise for an experimental trial.
Human Brain Mapping | 2015
Jessica A. Bernard; Daniel R. Leopold; Vince D. Calhoun; Vijay A. Mittal
Cerebellar morphology and function have been implicated in a variety of developmental disorders, and in healthy aging. Although recent work has sought to characterize the relationships between volume and age in this structure during adolescence, young, and older adulthood, there have been no investigations of regional cerebellar volume from adolescence through late middle age. Middle age in particular has been largely understudied, and investigating this period of the lifespan may be especially important for our understanding of senescence. Understanding regional patterns of cerebellar volume with respect to age during this portion of the lifespan may provide important insight into healthy aging and cognitive function as well as pathology from adolescence into later life. We investigated regional cerebellar volume using a highly novel lobular segmentation approach in conjunction with a battery of cognitive tasks in a cross‐sectional sample of 123 individuals from 12 to 65 years old. Our results indicated that regional cerebellar volumes show different patterns with respect to age. In particular, the more posterior aspect of the neocerebellum follows a quadratic “inverse‐U” pattern while the vermis and anterior cerebellum follow logarithmic patterns. In addition, we quantified the relationships between age and a variety of cognitive assessments and found relationships between regional cerebellar volumes and performance. Finally, exploratory analyses of sex differences in the relationships between regional cerebellar volume, age, and cognition were investigated. Taken together, these results provide key insights into the development and aging of the human cerebellum, and its role in cognitive function across the lifespan. Hum Brain Mapp 36:1102–1120, 2015.
Journal of Attention Disorders | 2015
Daniel R. Leopold; Angela D. Bryan; Bruce F. Pennington; Erik G. Willcutt
Objective: To advance our understanding of adult ADHD and sluggish cognitive tempo (SCT), the present study investigates their construct validity by exploring the nature of trait- and method-related variance in self- and parent-ratings of ADHD and SCT. Method: Using a multitrait-multimethod (MTMM) design, response variance in college undergraduates’ (n = 3,925) and a subset of their parents’ (n = 2,242) ratings was decomposed into method, trait, and error-specific variance. Results: Global evidence for convergent and discriminant validity was supported, but parameter-level comparisons suggest that method effects, situational specificity, and ADHD’s core feature—inattention—are prominent. Conclusion: This investigation offers two important conclusions: (a) SCT appears to be a related but separate factor from ADHD; and (b) self- and parent-ratings of emerging adult ADHD exhibit low to moderate correlations and support the situational specificity hypothesis, suggesting that multiple raters should be consulted when assessing adult ADHD. Implications of these findings and recommendations for the continued study of SCT are discussed.
Journal of Attention Disorders | 2016
Cynthia M. Hartung; Elizabeth K. Lefler; Will H. Canu; Anne E. Stevens; Maryanne Jaconis; Patrick A. LaCount; Christopher R. Shelton; Daniel R. Leopold; Erik G. Willcutt
Objective: Approximately 5% of adults have ADHD. Despite recommendations regarding the diagnosis of emerging adults, there is not a strong consensus regarding the ideal method for diagnosing ADHD in both emerging and mature adults. We were interested in determining whether a threshold of four, five, or six ADHD symptoms would be associated with significantly different levels of functional impairment and be more or less indicative of a potential ADHD diagnosis. Method: We examined the relation between functional impairment and these ADHD symptom thresholds in 2,577 college students. Results: Our findings suggest that none of these symptom thresholds are differentially better at predicting functional impairment. Conclusion: The Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) threshold of five symptoms for ages 17 years and older is not necessarily predictive of ADHD-related impairment in college students and may not be preferable to other thresholds. Options for resolving this diagnostic dilemma are discussed.
Journal of Abnormal Child Psychology | 2018
Daniel R. Leopold; Micaela E. Christopher; Richard K. Olson; Stephen A. Petrill; Erik G. Willcutt
A population-based longitudinal sample of 489 twin pairs was assessed at six time points over ten years to examine the measurement invariance and stability of attention-deficit/hyperactivity disorder (ADHD) symptoms, as well as the developmental relations between inattention (IN), hyperactivity-impulsivity (HI), and multiple aspects of functional impairment. Parent ratings of ADHD symptoms and functional impairment were obtained in preschool and after the completion of kindergarten, first, second, fourth, and ninth grades. Results of the temporal and sex invariance models indicated that parent ratings of the 18 ADHD symptoms function in the same manner for females and males from early childhood into adolescence. In addition to establishing this prerequisite condition for the interpretation of longitudinal and between-sex differences in the IN and HI symptom dimensions, cross-lagged models indicated that both IN and HI were associated with increased risk for both concurrent and future overall, social, and recreational impairment, whereas only IN was uniquely associated with later academic impairment. Taken together, the current results demonstrate that IN and HI are highly stable from preschool through ninth grade, invariant between females and males, and indicative of risk for impairment in multiple areas, thereby providing strong support for the validity of the symptom dimensions among both sexes.
Journal of Abnormal Child Psychology | 2014
Erik G. Willcutt; Nomita Chhabildas; Mikaela Kinnear; John C. DeFries; Richard K. Olson; Daniel R. Leopold; Janice M. Keenan; Bruce F. Pennington
Schizophrenia Bulletin | 2014
Vijay A. Mittal; Derek J. Dean; Jessica A. Bernard; Joseph M. Orr; Andrea Pelletier-Baldelli; Emily E. Carol; Tina Gupta; Jessica A. Turner; Daniel R. Leopold; Briana L. Robustelli; Zachary B. Millman
Journal of the American Academy of Child and Adolescent Psychiatry | 2016
Stephen P. Becker; Daniel R. Leopold; G. Leonard Burns; Matthew A. Jarrett; Joshua M. Langberg; Stephen A. Marshall; Keith McBurnett; Daniel A. Waschbusch; Erik G. Willcutt
Journal of Child Psychology and Psychiatry | 2016
Daniel R. Leopold; Micaela E. Christopher; G. Leonard Burns; Stephen P. Becker; Richard K. Olson; Erik G. Willcutt