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Tuerk C, Saha T, Bouchard MF, Booij L. Computerized Cognitive Test Batteries for Children and Adolescents-A Scoping Review of Tools For Lab- and Web-Based Settings From 2000 to 2021. Arch Clin Neuropsychol 2023; 38:1683-1710. [PMID: 37259540 PMCID: PMC10681451 DOI: 10.1093/arclin/acad039] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 03/20/2023] [Accepted: 04/20/2023] [Indexed: 06/02/2023] Open
Abstract
OBJECTIVE Cognitive functioning is essential to well-being. Since cognitive difficulties are common in many disorders, their early identification is critical, notably during childhood and adolescence. This scoping review aims to provide a comprehensive literature overview of computerized cognitive test batteries (CCTB) that have been developed and used in children and adolescents over the past 22 years and to evaluate their psychometric properties. METHOD Among 3192 records identified from three databases (PubMed, PsycNET, and Web of Science) between 2000 and 2021, 564 peer-reviewed articles conducted in children and adolescents aged 3 to 18 years met inclusion criteria. Twenty main CCTBs were identified and further reviewed following PRISMA guidelines. Relevant study details (sample information, topic, location, setting, norms, and psychometrics) were extracted, as well as administration and instrument characteristics for the main CCTBs. RESULTS Findings suggest that CCTB use varies according to age, location, and topic, with eight tools accounting for 85% of studies, and the Cambridge Neuropsychological Test Automated Battery (CANTAB) being most frequently used. Few instruments were applied in web-based settings or include social cognition tasks. Only 13% of studies reported psychometric properties. CONCLUSIONS Over the past two decades, a high number of computerized cognitive batteries have been developed. Among these, more validation studies are needed, particularly across diverse cultural contexts. This review offers a comprehensive synthesis of CCTBs to aid both researchers and clinicians to conduct cognitive assessments in children in either a lab- or web-based setting.
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Affiliation(s)
- Carola Tuerk
- Department of Psychology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC H4B 1R6, Canada
- Sainte-Justine Hospital Research Center, 3175 Côte-Sainte-Catherine Road, Montreal, QC H3T 1C5, Canada
| | - Trisha Saha
- Department of Environmental and Occupational Health, School of Public Health, University of Montreal, 7101 Park Avenue, Montreal, QC H3N 1X9, Canada
| | - Maryse F Bouchard
- Sainte-Justine Hospital Research Center, 3175 Côte-Sainte-Catherine Road, Montreal, QC H3T 1C5, Canada
- Department of Environmental and Occupational Health, School of Public Health, University of Montreal, 7101 Park Avenue, Montreal, QC H3N 1X9, Canada
- Institut National de la Recherche Scientifique, 531 des Prairies Blvd, Laval, QC H7V 1B7, Canada
| | - Linda Booij
- Department of Psychology, Concordia University, 7141 Sherbrooke Street West, Montreal, QC H4B 1R6, Canada
- Sainte-Justine Hospital Research Center, 3175 Côte-Sainte-Catherine Road, Montreal, QC H3T 1C5, Canada
- Department of Psychiatry and Addictology, University of Montreal, 2900 Boulevard Edouard Montpetit, Montreal, QC H3T 1J4, Canada
- Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada
- Research Centre, Douglas Mental Health University Institute, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
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Liu SR, Moore TM, Gur RC, Nievergelt C, Baker DG, Risbrough V, Acheson DT. High executive functioning is associated with reduced posttraumatic stress after trauma exposure among male U.S. military personnel. Front Psychol 2023; 14:1181055. [PMID: 37818418 PMCID: PMC10560729 DOI: 10.3389/fpsyg.2023.1181055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 08/31/2023] [Indexed: 10/12/2023] Open
Abstract
Introduction Evidence suggests that executive function (EF) may play a key role in development of PTSD, possibly influenced by factors such as trauma type and timing. Since EF can be improved through intervention, it may be an important target for promoting resilience to trauma exposure. However, more research is needed to understand the relation between trauma exposure, EF, and PTSD. The goal of this study was to improve understanding of EF as a potential antecedent or protective factor for the development of PTSD among military personnel. Method In a cohort of U.S. Marines and Navy personnel (N = 1,373), the current study tested the association between exposure to traumatic events (pre-deployment and during deployment) and PTSD severity, and whether EF moderated these associations. Three types of pre-deployment trauma exposure were examined: cumulative exposure, which included total number of events participants endorsed as having happened to them, witnessed, or learned about; direct exposure, which included total number of events participants endorsed as having happened to them; and interpersonal exposure, which included total number of interpersonally traumatic events participants' endorsed. EF was measured using the Penn Computerized Neurocognitive Battery. Results EF was associated with less PTSD symptom severity at pre-deployment, even when adjusting for trauma exposure, alcohol use, traumatic brain injury, and number of years in the military. EF also moderated the relation between cumulative trauma exposure and interpersonal trauma exposure and PTSD, with higher EF linked to a 20 and 33% reduction in expected point increase in PTSD symptoms with cumulative and interpersonal trauma exposure, respectively. Finally, higher pre-deployment EF was associated with reduced PTSD symptom severity at post-deployment, independent of deployment-related trauma exposure and adjusting for pre-deployment PTSD. Conclusion Our results suggest that EF plays a significant, if small role in the development of PTSD symptoms after trauma exposure among military personnel. These findings provide important considerations for future research and intervention and prevention, specifically, incorporating a focus on improving EF in PTSD treatment.
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Affiliation(s)
- Sabrina R. Liu
- Department of Human Development, California State University San Marcos, San Marcos, CA, United States
| | - Tyler M. Moore
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States
| | - Caroline Nievergelt
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Dewleen G. Baker
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Victoria Risbrough
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
| | - Dean T. Acheson
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, United States
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States
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Addressing the Know-Do Gap in Adolescent HIV: Framing and Measuring Implementation Determinants, Outcomes, and Strategies in the AHISA Network. AIDS Behav 2023; 27:24-49. [PMID: 36905496 PMCID: PMC10007651 DOI: 10.1007/s10461-023-04021-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/02/2023] [Indexed: 03/12/2023]
Abstract
Implementation science (IS) uses systematic methods to close gaps between research and practice by identifying and addressing barriers to implementation of evidence-based interventions (EBIs). To reach UNAIDS HIV targets, IS can support programs to reach vulnerable populations and achieve sustainability. We studied the application of IS methods in 36 study protocols that were part of the Adolescent HIV Prevention and Treatment Implementation Science Alliance (AHISA). Protocols focused on youth, caregivers, or healthcare workers in high HIV-burden African countries and evaluated medication, clinical and behavioral/social EBIs. All studies measured clinical outcomes and implementation science outcomes; most focused on early implementation outcomes of acceptability (81%), reach (47%), and feasibility (44%). Only 53% used an implementation science framework/theory. Most studies (72%) evaluated implementation strategies. Some developed and tested strategies, while others adapted an EBI/strategy. Harmonizing IS approaches allows cross study learning and optimization of delivery of EBIs and could support attainment of HIV goals.
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Moore TM, Di Sandro A, Scott JC, Lopez KC, Ruparel K, Njokweni LJ, Santra S, Conway DS, Port AM, D'Errico L, Rush S, Wolf DH, Calkins ME, Gur RE, Gur RC. Construction of a computerized adaptive test (CAT-CCNB) for efficient neurocognitive and clinical psychopathology assessment. J Neurosci Methods 2023; 386:109795. [PMID: 36657647 PMCID: PMC9892357 DOI: 10.1016/j.jneumeth.2023.109795] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 12/14/2022] [Accepted: 01/13/2023] [Indexed: 01/18/2023]
Abstract
BACKGROUND Traditional paper-and-pencil neurocognitive evaluations and semi-structured mental health interviews can take hours to administer and score. Computerized assessment has decreased that burden substantially, and contemporary psychometric tools such as item response theory and computerized adaptive testing (CAT) allow even further abbreviation. NEW METHOD The goal of this paper was to describe the application of CAT and related methods to the Penn Computerized Neurocognitive Battery (CNB) and a well-validated clinical assessment in order to increase efficiency in assessment and relevant domain coverage. To calibrate item banks for CAT, N = 5053 participants (63% female; mean age 45 years, range 18-80) were collected from across the United States via crowdsourcing, providing item parameters that were then linked to larger item banks and used in individual test construction. Tests not amenable to CAT were abbreviated using complementary short-form methods. RESULTS The final "CAT-CCNB" battery comprised 21 cognitive tests (compared to 14 in the original) and five adaptive clinical scales (compared to 16 in the original). COMPARISON WITH EXISTING METHODS This new battery, derived with contemporary psychometric approaches, provides further improvements over existing assessments that use collections of fixed-length tests developed for stand-alone administration. The CAT-CCNB provides an improved version of the CNB that shows promise as a maximally efficient tool for neuropsychiatric assessment. CONCLUSIONS We anticipate CAT-CCNB will help satisfy the clear need for broad yet efficient measurement of cognitive and clinical domains, facilitating implementation of large-scale, "big science" approaches to data collection, and potential widespread clinical implementation.
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Affiliation(s)
- Tyler M Moore
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA.
| | - Akira Di Sandro
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - J Cobb Scott
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; VISN4 Mental Illness Research, Education, and Clinical Center at the Philadelphia VA Medical Center, 19104, USA
| | - Katherine C Lopez
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kosha Ruparel
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Lucky J Njokweni
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Satrajit Santra
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David S Conway
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Allison M Port
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Lisa D'Errico
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sage Rush
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Daniel H Wolf
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Monica E Calkins
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
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Tsima BM, Lowenthal ED, Van Pelt AE, Moore TM, Matshaba M, Gur RC, Tshume O, Thuto B, Scott JC. Test-Retest Reliability of a Computerized Neurocognitive Battery in School-Age Children with HIV in Botswana. Arch Clin Neuropsychol 2023; 38:131-138. [PMID: 35988538 PMCID: PMC9868525 DOI: 10.1093/arclin/acac066] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/11/2022] [Indexed: 01/26/2023] Open
Abstract
Human immunodeficiency virus (HIV) infection is prevalent among children and adolescents in Botswana, but standardized neurocognitive testing is limited. The Penn Computerized Neurocognitive Battery (PennCNB) attempts to streamline evaluation of neurocognitive functioning and has been culturally adapted for use among youth in this high-burden, low-resource setting. However, its reliability across measurements (i.e., test-retest reliability) is unknown. This study examined the test-retest reliability of the culturally adapted PennCNB in 65 school-age children (age 7-17) living with HIV in Botswana. Intraclass correlation coefficients (ICCs) for PennCNB summary scores (ICCs > 0.80) and domain scores (ICCs = 0.66-0.88) were higher than those for individual tests, which exhibited more variability (ICCs = 0.50-0.82), with the lowest reliability on memory tests. Practice effects were apparent on some measures, especially within memory and complex cognition domains. Taken together, the adapted PennCNB exhibited adequate test-retest reliability at the domain level but variable reliability for individual tests. Differences in reliability should be considered in implementation of these tests.
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Affiliation(s)
- Billy M Tsima
- Department of Family Medicine and Public Health, University of Botswana, Gaborone, Botswana
| | - Elizabeth D Lowenthal
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Children’s Hospital of Philadelphia, Global Health Center, Philadelphia, PA, USA
| | - Amelia E Van Pelt
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Children’s Hospital of Philadelphia, Global Health Center, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Tyler M Moore
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mogomotsi Matshaba
- Botswana-Baylor Children’s Clinical Centre of Excellence, Gaborone, Botswana
| | - Ruben C Gur
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ontibile Tshume
- Botswana-Baylor Children’s Clinical Centre of Excellence, Gaborone, Botswana
| | - Boitumelo Thuto
- Botswana-Baylor Children’s Clinical Centre of Excellence, Gaborone, Botswana
| | - J Cobb Scott
- Brain Behavior Laboratory, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- VISN4 Mental Illness Research, Education, and Clinical Center at the Philadelphia VA Medical Center, Philadelphia, PA, USA
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Van Pelt AE, Lowenthal ED, Phoi O, Tshume O, Matshaba M, Beidas RS. Medical stakeholder perspectives on implementing a computerized battery to identify neurocognitive impairments among youth in Botswana. AIDS Care 2022; 34:1513-1521. [PMID: 34663144 PMCID: PMC9013727 DOI: 10.1080/09540121.2021.1990202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 10/04/2021] [Indexed: 01/26/2023]
Abstract
HIV infection and in utero exposure, common in Sub-Saharan Africa, are associated with pediatric neurocognitive impairment. Cognitive screening can identify impairments, but it is rarely used in this setting. The Penn Computerized Neurocognitive Battery (PennCNB), an evidence-based cognitive screening tool, was adapted for use in Botswana. To facilitate future implementation, 20 semi-structured interviews were conducted to elicit key stakeholders' perspectives on factors likely to be related to successful uptake of the PennCNB in clinical settings. An integrated analytic approach combining constructs from the Consolidated Framework for Implementation Research and modified grounded theory was used. Results underscore the need for cognitive screening in Botswana and the acceptability of the PennCNB. Implementation barriers include limited time and resources, whereas facilitators include standard procedures for introducing new tools into medical settings and for training implementers. Recommended implementation strategies include integrating screening into the existing workflow, implementing the tool in the medical and educational sectors, and targeting selection of children for assessment. This research addresses the research-to-practice gap by engaging in pre-implementation inquiry and designing for implementation. Results will inform the development of strategies to maximize the likelihood of successful implementation of the PennCNB to identify neurocognitive impairment in children in this high-need setting.
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Affiliation(s)
- Amelia E. Van Pelt
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Children’s Hospital of Philadelphia Global Health Center, Philadelphia, Pennsylvania, United States
- Leonard Davis Institute of Health Economics, Philadelphia, Pennsylvania, United States
| | - Elizabeth D. Lowenthal
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Children’s Hospital of Philadelphia Global Health Center, Philadelphia, Pennsylvania, United States
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Onkemetse Phoi
- Botswana-Baylor Children’s Clinical Centre of Excellence, Gaborone, Botswana
| | - Ontibile Tshume
- Botswana-Baylor Children’s Clinical Centre of Excellence, Gaborone, Botswana
| | - Mogomotsi Matshaba
- Botswana-Baylor Children’s Clinical Centre of Excellence, Gaborone, Botswana
| | - Rinad S. Beidas
- Leonard Davis Institute of Health Economics, Philadelphia, Pennsylvania, United States
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Department of Medical Ethics and Health Policy, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Penn Implementation Science Center at the Leonard Davis Institute of Health Economics (PISCE@LDI), University of Pennsylvania, Philadelphia, PA, United States
- Center for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA, United States
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Van Pelt AE, Moore TM, Scott JC, Phoi O, Mbakile-Mahlanza L, Morales KH, Gur RC, Rampa S, Matshaba M, Lowenthal ED. Predictive Validity of a Computerized Battery for Identifying Neurocognitive Impairments Among Children Living with HIV in Botswana. AIDS Behav 2022; 26:2758-2767. [PMID: 35182282 DOI: 10.1007/s10461-022-03620-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/09/2022] [Indexed: 11/25/2022]
Abstract
Children living with HIV (HIV+) experience increased risk of neurocognitive deficits, but standardized cognitive testing is limited in low-resource, high-prevalence settings. The Penn Computerized Neurocognitive Battery (PennCNB) was adapted for use in Botswana. This study evaluated the criterion validity of a locally adapted version of the PennCNB among a cohort of HIV+ individuals aged 10-17 years in Botswana. Participants completed the PennCNB and a comprehensive professional consensus assessment consisting of pencil-and-paper psychological assessments, clinical interview, and review of academic performance. Seventy-two participants were classified as cases (i.e., with cognitive impairment; N = 48) or controls (i.e., without cognitive impairment; N = 24). Sensitivity, specificity, positive predictive value, negative predictive value, and the area under receiver operating characteristic curves were calculated. Discrimination was acceptable, and prediction improved as the threshold for PennCNB impairment was less conservative. This research contributes to the validation of the PennCNB for use among children affected by HIV in Botswana.
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Affiliation(s)
- Amelia E Van Pelt
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Blockley Hall Office 107, Philadelphia, PA, USA.
- Global Health Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
| | - Tyler M Moore
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Penn-CHOP Lifespan Brain Institute, Philadelphia, USA
| | - J Cobb Scott
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Penn-CHOP Lifespan Brain Institute, Philadelphia, USA
- VISN4 Mental Illness Research, Education, and Clinical Center at the Philadelphia VA Medical Center, Philadelphia, PA, USA
| | - Onkemetse Phoi
- Botswana-Baylor Children's Clinical Centre of Excellence, Gaborone, Botswana
| | | | - Knashawn H Morales
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Blockley Hall Office 107, Philadelphia, PA, USA
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Penn-CHOP Lifespan Brain Institute, Philadelphia, USA
| | - Shathani Rampa
- Department of Psychology, University of Botswana, Gaborone, Botswana
| | - Mogomotsi Matshaba
- Botswana-Baylor Children's Clinical Centre of Excellence, Gaborone, Botswana
- Department of Pediatrics, Retrovirology, Baylor College of Medicine, Houston, TX, USA
| | - Elizabeth D Lowenthal
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, 423 Guardian Drive, Blockley Hall Office 107, Philadelphia, PA, USA
- Global Health Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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Nichols SL. Central Nervous System Impact of Perinatally Acquired HIV in Adolescents and Adults: an Update. Curr HIV/AIDS Rep 2022; 19:121-132. [PMID: 35107809 PMCID: PMC8904346 DOI: 10.1007/s11904-021-00598-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/10/2021] [Indexed: 11/24/2022]
Abstract
Purpose of Review Perinatally acquired HIV infection (PHIV) can confer neurodevelopmental risk. As children with PHIV increasingly survive through adolescence and into adulthood, understanding its long-term central nervous system (CNS) impacts is critical for maximizing adult outcomes and quality of life. Recent Findings Recently published neurocognitive and neuroimaging findings show impacts on the CNS associated with early HIV disease progression that endure into adolescence and young adulthood. Although developmental trajectories in adolescence largely appear stable, further research on maturational processes is indicated. Summary Although early antiretroviral therapy in infancy appears to be protective, it is not universally available and current youth largely developed without its benefit. The neurocognitive effects of HIV and the multiple other risks to neurodevelopment experienced by youth with PHIV call for further longitudinal research and a multifaceted approach to prevention and intervention.
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Affiliation(s)
- Sharon L Nichols
- Department of Neurosciences, University of California, San Diego 9500 Gilman Drive, #0935, CA, 92093, La Jolla, USA.
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Shu C, Green Snyder L, Shen Y, Chung WK. Imputing cognitive impairment in SPARK, a large autism cohort. Autism Res 2021; 15:156-170. [PMID: 34636158 DOI: 10.1002/aur.2622] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 08/26/2021] [Accepted: 09/24/2021] [Indexed: 11/10/2022]
Abstract
Diverse large cohorts are necessary for dissecting subtypes of autism, and intellectual disability is one of the most robust endophenotypes for analysis. However, current cognitive assessment methods are not feasible at scale. We developed five commonly used machine learning models to predict cognitive impairment (FSIQ<80 and FSIQ<70) and FSIQ scores among 521 children with autism using parent-reported online surveys in SPARK, and evaluated them in an independent set (n = 1346) with a missing data rate up to 70%. We assessed accuracy, sensitivity, and specificity by comparing predicted cognitive levels against clinical IQ data. The elastic-net model has good performance (AUC = 0.876, sensitivity = 0.772, specificity = 0.803) using 129 predictive features to impute cognitive impairment (FSIQ<80). Top-ranked predictive features included parent-reported language and cognitive levels, age at autism diagnosis, and history of services. Prediction of FSIQ<70 and FSIQ scores also showed good performance. We show cognitive levels can be imputed with high accuracy for children with autism, using commonly collected parent-reported data and standardized surveys. The current model offers a method for large-scale autism studies seeking estimates of cognitive ability when standardized psychometric testing is not feasible. LAY SUMMARY: Children with autism who have more severe learning challenges or cognitive impairment have different needs that are important to consider in research studies. When children in our study were missing standardized cognitive testing scores, we were able to use machine learning with other information to correctly "guess" when they have cognitive impairment about 80% of the time. We can use this information in research in the future to develop more appropriate treatments for children with autism and cognitive impairment.
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Affiliation(s)
- Chang Shu
- Department of Pediatrics, Columbia University Irving Medical Center, New York, New York, USA.,Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - LeeAnne Green Snyder
- Simons Foundation Autism Research Initiative, Simons Foundation, New York, New York, USA
| | - Yufeng Shen
- Department of Systems Biology, Columbia University Irving Medical Center, New York, New York, USA.,Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA
| | - Wendy K Chung
- Department of Pediatrics, Columbia University Irving Medical Center, New York, New York, USA.,Simons Foundation Autism Research Initiative, Simons Foundation, New York, New York, USA.,Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
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Izgi B, Moore TM, Yalcinay-Inan M, Port AM, Kuscu K, Gur RC, Yapici Eser H. Test-retest reliability of the Turkish translation of the Penn Computerized Neurocognitive Battery. APPLIED NEUROPSYCHOLOGY-ADULT 2021; 29:1258-1267. [PMID: 33492171 DOI: 10.1080/23279095.2020.1866572] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Psychiatric disorders are associated with cognitive dysfunction (CD), and reliable screening and follow-up of CD is essential both for research and clinical practice globally; yet, most assessments are in Western languages. We aimed to evaluate the test-retest reliability of the Turkish version of the Penn Computerized Neurocognitive Battery (PennCNB) to guide confident interpretation of results. Fifty-eight healthy individuals completed the PennCNB Turkish version in two sessions. After quality control, reliability analysis was conducted using Intraclass Correlation Coefficients (ICC), corrected for practice effects. Most measures were not significantly different between the sessions and had acceptable ICC values, with several exceptions. Scores were improved considerably for some memory measures, including immediate Facial Memory and Spatial Memory, and for incorrect responses in abstraction and mental flexibility, with correspondingly acceptable ICCs. Test-retest assessment of the Turkish version of the PennCNB shows that it can be used as a reliable real-time measurement of cognitive function in snapshot cross-sectional or longitudinal determinations. Preliminary validity assessment in this normative sample showed expected positive correlations with education level and negative correlations with age. Thus, the Turkish version of the PennCNB can be considered a reliable neuropsychological testing tool in research and clinical practice. Practice effects should be considered, especially when applied in short intervals. Significantly better performances in the retest, beyond practice effect, likely reflect nonlinear improvements in some participants who "learned how to learn" the memory tests or had insight on solving the abstraction and mental flexibility test.
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Affiliation(s)
- Busra Izgi
- Graduate School of Health Sciences, Neuroscience Ph.D. program, Koç University, Istanbul, Turkey.,Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | - Tyler M Moore
- Brain Behavior Laboratory, Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | | | - Allison M Port
- Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | - Kemal Kuscu
- School of Medicine, Department of Psychiatry, Koç University, Istanbul, Turkey
| | - Ruben C Gur
- Brain Behavior Laboratory, Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Hale Yapici Eser
- Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey.,School of Medicine, Department of Psychiatry, Koç University, Istanbul, Turkey
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