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Allott K, Yassin W, Alameda L, Billah T, Borders O, Buccilli K, Carrión RE, Castillo-Passi RI, Cho KIK, Chin K, Coleman MJ, Colton BL, Corral S, Dwyer D, Gundersen KB, Gur RC, Hoftman GD, Jacobs GR, Kelly S, Lewandowski KE, Marcy PJ, Matneja P, McLaughlin D, Nunez AR, Parsa S, Penzel N, Ray S, Reinen JM, Ruparel K, Sand MS, Santorelli G, Seitz-Holland J, Spark J, Tamayo Z, Thompson A, Tod S, Wannan CMJ, Wickham A, Wood SJ, Zoupou E, Addington J, Anticevic A, Arango C, Breitborde NJK, Broome MR, Cadenhead KS, Calkins ME, Chen EYH, Choi J, Conus P, Corcoran CM, Cornblatt BA, Ellman LM, Fusar-Poli P, Gaspar PA, Gerber C, Glenthøj LB, Horton LE, Hui CLM, Kambeitz J, Kambeitz-Ilankovic L, Keshavan M, Kim SW, Koutsouleris N, Kwon JS, Langbein K, Mamah D, Diaz-Caneja CM, Mathalon DH, Mittal VA, Nordentoft M, Pearlson GD, Perkins DO, Perez J, Powers AR, Rogers J, Sabb FW, Schiffman J, Shah JL, Silverstein SM, Smesny S, Strauss GP, Thompson JL, Upthegrove R, Verma SK, Wang J, Wolf DH, Pasternak O, Bouix S, McGorry PD, Kane JM, Kahn RS, Bearden CE, Shenton ME, Woods SW, Nelson B, Stone WS. Cognitive assessment in the Accelerating Medicines Partnership® Schizophrenia Program: harmonization priorities and strategies in a diverse international sample. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2025; 11:49. [PMID: 40128256 PMCID: PMC11933323 DOI: 10.1038/s41537-025-00578-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Accepted: 12/24/2024] [Indexed: 03/26/2025]
Abstract
Cognitive impairment occurs at higher rates in individuals at clinical high risk (CHR) for psychosis relative to healthy peers, and it contributes unique variance to multivariate prediction models of transition to psychosis. Such impairment is considered a core biomarker of schizophrenia. Thus, cognition is a key domain measured in the Accelerating Medicines Partnership® program for Schizophrenia (AMP SCZ initiative). The aim of this paper is to describe the rationale, processes, considerations, and final harmonization of the cognitive battery used in AMP SCZ across the two data collection networks. This battery comprises tests of general intellect and specific cognitive domains. We estimate premorbid intelligence at baseline and measure current intelligence at baseline and 2 years. Eight tests from the Penn Computerized Neurocognitive Battery (PennCNB), which measure verbal learning and memory, sensorimotor ability, attention, emotion recognition, working memory, processing speed, verbal memory, visual memory, and motor speed are administered repeatedly at baseline, and four follow-up timepoints over 2 years.
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Affiliation(s)
- Kelly Allott
- Orygen, Parkville, VIC, Australia.
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.
| | - Walid Yassin
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
| | - Luis Alameda
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
| | - Tashrif Billah
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Owen Borders
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kate Buccilli
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Ricardo E Carrión
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Rolando I Castillo-Passi
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
- Department of Neurology and Psychiatry, Clínica Alemana-Universidad del Desarrollo, Santiago, RM, Chile
| | - Kang Ik K Cho
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kota Chin
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Michael J Coleman
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Beau-Luke Colton
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Sebastián Corral
- Department of Psychiatry, University of Chile, Santiago, Chile
- Departamento de Psicologia, Universidad de La Serena, La Serena, Chile
| | - Dominic Dwyer
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Kristina Ballestad Gundersen
- VIRTU Research Group, Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Grace R Jacobs
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sinead Kelly
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kathryn E Lewandowski
- Psychotic Disorders Division, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | | | | | | | - Angela R Nunez
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Setari Parsa
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
| | - Nora Penzel
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Susan Ray
- Northwell Health, Glen Oaks, NY, USA
| | - Jenna M Reinen
- IBM Research, Armonk, NY, USA
- T.J. Watson Research Laboratory, Yorktown Heights, NY, USA
| | - Kosha Ruparel
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Gennarina Santorelli
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
| | - Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jessica Spark
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Zailyn Tamayo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew Thompson
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, USA
| | - Sophie Tod
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Cassandra M J Wannan
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Alana Wickham
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephen J Wood
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- School of Psychology, University of Birmingham, Edgbaston, UK
| | - Eirini Zoupou
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Yale University Department of Psychiatry, New Haven, CT, USA
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, ISCIII, School of Medicine, Universidad Complutense, Madrid, Spain
| | | | - Matthew R Broome
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Early Intervention for Psychosis Services, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | | | - Monica E Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Eric Yu Hai Chen
- Department of Psychiatry, School of Clinical Medicine, LKF Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Jimmy Choi
- Olin Neuropsychiatry Research Center, Hartford Health Care Behavioral Health Network, Hartford, CT, USA
| | - Philippe Conus
- General Psychiatry Service, Treatment and Early Intervention in Psychosis Program (TIPP-Lausanne), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Cheryl M Corcoran
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Barbara A Cornblatt
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Lauren M Ellman
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Pablo A Gaspar
- Institute of Behavioral Science, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, IMHAY, University of Chile, Santiago, Chile
| | - Carla Gerber
- Prevention Science Institute, University of Oregon, Eugene, OR, USA
- Oregon Research Institute, Springfield, OR, USA
| | - Louise Birkedal Glenthøj
- VIRTU Research Group, Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Leslie E Horton
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Christy Lai Ming Hui
- Department of Psychiatry, School of Clinical Medicine, LKF Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Joseph Kambeitz
- University of Cologne, Faculty of Medicine and University HospitalCologne, Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- University of Cologne, Faculty of Medicine and University HospitalCologne, Cologne, Germany
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
- Mindlink, Gwangju Bukgu Mental Health Center, Gwangju, Republic of Korea
| | - Nikolaos Koutsouleris
- Department of Psychosis Studies, King's College London, London, UK
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kerstin Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Daniel Mamah
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Covadonga M Diaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, ISCIII, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Daniel H Mathalon
- Department of Psychiatry and Behavioral Sciences and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Mental Health Service 116D, Veterans Affairs San Francisco Health Care System, San Francisco, CA, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Chicago, IL, USA
| | - Merete Nordentoft
- Copenhagen Research Centre for Mental Health, Mental Health Copenhagen, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Jesus Perez
- CAMEO, Early Intervention in Psychosis Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Institute of Biomedical Research (IBSAL), Department of Medicine, Universidad de Salamanca, Salamanca, Spain
| | - Albert R Powers
- Connecticut Mental Health Center, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Jack Rogers
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Fred W Sabb
- Prevention Science Institute, University of Oregon, Eugene, OR, USA
| | - Jason Schiffman
- Department of Psychological Science, University of California, Irvine, CA, USA
| | - Jai L Shah
- PEPP-Montreal, Douglas Research Centre, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Steven M Silverstein
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | | | - Judy L Thompson
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Rachel Upthegrove
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Swapna K Verma
- Institute of Mental Health, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Jijun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Sylvain Bouix
- Department of Software Engineering and Information Technology, Ecole de technologie superieure, Montreal, QC, Canada
| | - Patrick D McGorry
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - John M Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine, Hempstead, NY, USA
- Institute of Behavioral Science, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Rene S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carrie E Bearden
- Departments of Psychiatry and Biobehavioral Sciences & Psychology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - Martha E Shenton
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
| | - Scott W Woods
- Connecticut Mental Health Center, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Barnaby Nelson
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center and Harvard Medical School, Boston, MA, USA
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2
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Liew TM, Foo JYH, Yang H, Tay SY, Koay WI, Yip KF, Ting SKS, Narasimhalu K, Li W, Tan C, Luo D, Chong R, Shong R, Sia C, Koh GCH, Thumboo J. PENSIEVE-AI a brief cognitive test to detect cognitive impairment across diverse literacy. Nat Commun 2025; 16:2847. [PMID: 40122854 PMCID: PMC11930973 DOI: 10.1038/s41467-025-58201-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Accepted: 03/14/2025] [Indexed: 03/25/2025] Open
Abstract
Undiagnosed cognitive impairment is a pervasive global issue, often due to subtle nature of early symptoms, necessitating the use of brief cognitive tests for early detection. However, most brief tests are not scalable (requiring trained professionals), and are not designed for lower literacy groups (e.g. in underserved communities). Here, we developed PENSIEVE-AITM, a drawing-based digital test that is less dependent on literacy, and can be self-administered in <5 min. In a prospective study involving 1758 community-dwelling individuals aged 65 and older from Singapore (education range = 0-23 years), our deep-learning model showed excellent performance in detecting clinically-adjudicated mild cognitive impairment and dementia (AUC = 93%), comparable to traditional neuropsychological assessments (AUC = 94%, Pcomparison = 1.000). Results were consistent even across education subgroups. Being less dependent on literacy, PENSIEVE-AI holds promise for broader deployment in literacy-diverse populations similar to Singapore (e.g. some Asian and lower- and middle-income countries), potentially improving early detection and intervention of cognitive impairment.
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Affiliation(s)
- Tau Ming Liew
- Department of Psychiatry, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
- SingHealth Duke-NUS Medicine Academic Clinical Programme, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
- Health Services and Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore.
| | - Jessica Yi Hui Foo
- Government Technology Agency of Singapore, 10 Pasir Panjang Road, #10-01, Singapore, 117438, Singapore
| | - Howard Yang
- Government Technology Agency of Singapore, 10 Pasir Panjang Road, #10-01, Singapore, 117438, Singapore
| | - Sze Yan Tay
- Department of Psychology, Singapore General Hospital, Singapore, 169608, Singapore
| | - Way Inn Koay
- Department of Psychology, Singapore General Hospital, Singapore, 169608, Singapore
| | - King Fan Yip
- Department of Geriatric Medicine, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore
| | - Simon Kang Seng Ting
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore, 169608, Singapore
| | - Kaavya Narasimhalu
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore, 169608, Singapore
| | - Weishan Li
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore, 169608, Singapore
| | - Congyuan Tan
- Government Technology Agency of Singapore, 10 Pasir Panjang Road, #10-01, Singapore, 117438, Singapore
| | - Danlin Luo
- Caregiving and Community Mental Health Division, Agency for Integrated Care, 5 Maxwell Road, #10-00, Singapore, 069110, Singapore
| | - Rebecca Chong
- Caregiving and Community Mental Health Division, Agency for Integrated Care, 5 Maxwell Road, #10-00, Singapore, 069110, Singapore
| | - Rachel Shong
- Government Technology Agency of Singapore, 10 Pasir Panjang Road, #10-01, Singapore, 117438, Singapore
| | - Christopher Sia
- Home Team Science & Technology Agency, 1 Stars Avenue, #12-01, Singapore, 138507, Singapore
| | - Gerald Choon-Huat Koh
- Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore
| | - Julian Thumboo
- SingHealth Duke-NUS Medicine Academic Clinical Programme, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
- Health Services Research Unit, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore
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Walg M, Pütz A, Hapfelmeier G. [Intelligence Assessment in Refugees: Consequences of an IQ Test for an Adolescent from Egypt]. ZEITSCHRIFT FUR KINDER- UND JUGENDPSYCHIATRIE UND PSYCHOTHERAPIE 2025. [PMID: 40036059 DOI: 10.1024/1422-4917/a001018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2025]
Abstract
Intelligence Assessment in Refugees: Consequences of an IQ Test for an Adolescent from Egypt Abstract: Assessing the general intelligence of refugees poses a great challenge. Common intelligence tests developed according to Western concepts are not culture-fair, even when presented nonverbally. Thus, refugees often perform below average on such tests, which does not correspond to the clinical impression. This case report shows that the uncritical interpretation of such test results can lead to significant consequences regarding schooling and housing. Intelligence tests should, therefore, only be carried out for refugees if indicated. When interpreting the results, one must consider the lack of cultural sensitivity and view the determined IQ values as minimum values. Instead of establishing a status diagnosis, one should conduct a process diagnosis that includes an intelligence test, case history, and coping skills. In the future, performance tests should be developed that, with technical support, can be presented in a culturally sensitive way and have norm samples for different ethnic groups and cultures.
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Affiliation(s)
- Marco Walg
- Zentrum für seelische Gesundheit des Kindes- und Jugendalters, Sana-Klinikum Remscheid, Deutschland
| | - Alexander Pütz
- Klinik für Kinder- und Jugendmedizin, Sana-Klinikum Remscheid, Deutschland
| | - Gerhard Hapfelmeier
- Zentrum für seelische Gesundheit des Kindes- und Jugendalters, Sana-Klinikum Remscheid, Deutschland
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Dassanayake TL, Ariyasinghe DI, Baminiwatta A. Demographically-adjusted norms for Rey-Osterrieth Complex Figure Test (RCFT) for Sri Lankan adults. Clin Neuropsychol 2025:1-14. [PMID: 40015752 DOI: 10.1080/13854046.2025.2471116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2024] [Accepted: 02/19/2025] [Indexed: 03/01/2025]
Abstract
Objective: The aim of this study was to create demographically-adjusted norms for Rey-Osterrieth Complex Figure Test (RCFT) for Sri Lankan adults. Method: Four-hundred and twenty-two healthy, adult participants (age: 19-83 years, education: 5-23 years, 202 men) underwent the RCFT copy, 3-min and 30-minute-recall trials. Age- and education-stratified percentile-based norms and demographically-adjusted regression-based norms were created for copy-trial scores and recall trial scores, respectively. Results: There was a ceiling effect of the copy scores where the maximum possible score (i.e. 36) reached between 25th and 90th percentile depending of the age and the education band. Age, years of education and sex accounted for 25.0% of the variance of the RCFT 3-min-recall scores (adjusted R2 = 0.25, p < .0001). The age and years of education explained 25.1% of the variance of the 30-minute recall score (adjusted R2 = 0.251, p < .0001). Age accounted for 7%-8% and years of education accounted for 10%-11% of the variances of the recall trial scores. Sex only affected the 3-min recall scores and accounted for only about 1% of the variance. No significant differences in RCFT scores were observed among different ethnic groups. Conclusions: These RCFT norms for Sri Lankan adults fill a hiatus in neuropsychological assessment of visuospatial construction and visual memory. The percentile tables and accompanying software-based calculator with embedded regression equations help clinicians more readily interpret individual test results and account for the RCFT performance variability introduced by demographic variables.
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Affiliation(s)
| | | | - Anuradha Baminiwatta
- Department of Psychiatry, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka
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5
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Ready RE, Kapoulea E, Orlovsky I, Whaley M, Rafiuddin HS. Cultural and multicultural topics in Neuropsychology Journal titles from 2010-2020. Clin Neuropsychol 2025; 39:237-251. [PMID: 39096060 DOI: 10.1080/13854046.2024.2385506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 07/24/2024] [Indexed: 08/04/2024]
Abstract
OBJECTIVE The values of a field are reflected in the science it publishes. The goal of this study was to present a historical analysis of the extent to which the field of clinical neuropsychology publishes journals with titles that address culture in the context of brain function and behavior between 2010 and 2020. METHODS Titles from articles published in 13 neuropsychology journals from 2010-2020 were collected and coded with regard to culture and multicultural content. The aims of the study were to (1) determine how often cultural or multicultural topics were represented in journal titles, (2) determine if cultural or multicultural content in neuropsychology journal publication titles increased over time, and (3) to explore other neuropsychological content that was most and least likely to appear in publications pertaining to culture or multicultural issues. RESULTS Results indicated that titles for publications in clinical neuropsychology journals with content relevant to cultural or multicultural neuropsychology represented 1.1% to 13.4% of titles across the 13 journals. The number of cultural/multicultural titles increased over time. The number of cultural/multicultural titles per journal was not significantly correlated with the journal impact factor. Normative data were addressed significantly more often in cultural/multicultural titles versus non-cultural/multicultural titles, whereas psychiatric issues were addressed significantly less often. CONCLUSIONS There are many actions that clinical neuropsychologists can take to increase the field's attention to the effects of culture on brain function and behavior. It is vital to update our data from 2021 to the present, given the substantial increase in awareness of social justice issues that occurred since 2020.
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Affiliation(s)
- Rebecca E Ready
- Department of Psychological and Brain Science, University of Massachusetts, Amherst, MA, USA
| | - Eleni Kapoulea
- Department of Psychological and Brain Science, University of Massachusetts, Amherst, MA, USA
| | - Irina Orlovsky
- Department of Psychological and Brain Science, University of Massachusetts, Amherst, MA, USA
| | - Maya Whaley
- Department of Psychological and Brain Science, University of Massachusetts, Amherst, MA, USA
| | - Hanan S Rafiuddin
- Department of Psychology, University of North Texas, Denton, TX, USA
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Mooraj Z, Salami A, Campbell KL, Dahl MJ, Kosciessa JQ, Nassar MR, Werkle-Bergner M, Craik FIM, Lindenberger U, Mayr U, Rajah MN, Raz N, Nyberg L, Garrett DD. Toward a functional future for the cognitive neuroscience of human aging. Neuron 2025; 113:154-183. [PMID: 39788085 DOI: 10.1016/j.neuron.2024.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2024] [Revised: 12/08/2024] [Accepted: 12/10/2024] [Indexed: 01/12/2025]
Abstract
The cognitive neuroscience of human aging seeks to identify neural mechanisms behind the commonalities and individual differences in age-related behavioral changes. This goal has been pursued predominantly through structural or "task-free" resting-state functional neuroimaging. The former has elucidated the material foundations of behavioral decline, and the latter has provided key insight into how functional brain networks change with age. Crucially, however, neither is able to capture brain activity representing specific cognitive processes as they occur. In contrast, task-based functional imaging allows a direct probe into how aging affects real-time brain-behavior associations in any cognitive domain, from perception to higher-order cognition. Here, we outline why task-based functional neuroimaging must move center stage to better understand the neural bases of cognitive aging. In turn, we sketch a multi-modal, behavior-first research framework that is built upon cognitive experimentation and emphasizes the importance of theory and longitudinal design.
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Affiliation(s)
- Zoya Mooraj
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Lentzeallee 94, 14195 Berlin, Germany and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, 10-12 Russell Square, London, WC1B 5Eh, UK.
| | - Alireza Salami
- Aging Research Center, Karolinska Institutet & Stockholm University, 17165 Stockholm, Sweden; Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden; Department of Medical and Translational Biology, Umeå University, 90187 Umeå, Sweden; Wallenberg Center for Molecular Medicine, Umeå University, 90187 Umeå, Sweden
| | - Karen L Campbell
- Department of Psychology, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON L2S 3A1, Canada
| | - Martin J Dahl
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Lentzeallee 94, 14195 Berlin, Germany and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, 10-12 Russell Square, London, WC1B 5Eh, UK; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089, USA
| | - Julian Q Kosciessa
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, 6525 GD Nijmegen, the Netherlands
| | - Matthew R Nassar
- Robert J. & Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA; Department of Neuroscience, Brown University, 185 Meeting Street, Providence, RI 02912, USA
| | - Markus Werkle-Bergner
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany
| | - Fergus I M Craik
- Rotman Research Institute at Baycrest, Toronto, ON M6A 2E1, Canada
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Lentzeallee 94, 14195 Berlin, Germany and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, 10-12 Russell Square, London, WC1B 5Eh, UK
| | - Ulrich Mayr
- Department of Psychology, University of Oregon, Eugene, OR 97403, USA
| | - M Natasha Rajah
- Department of Psychiatry, McGill University Montreal, Montreal, QC H3A 1A1, Canada; Department of Psychology, Toronto Metropolitan University, Toronto, ON, M5B 2K3, Canada
| | - Naftali Raz
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany; Department of Psychology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, 90187 Umeå, Sweden; Department of Medical and Translational Biology, Umeå University, 90187 Umeå, Sweden; Department of Diagnostics and Intervention, Diagnostic Radiology, Umeå University, 90187 Umeå, Sweden
| | - Douglas D Garrett
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Lentzeallee 94, 14195 Berlin, Germany and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, 10-12 Russell Square, London, WC1B 5Eh, UK.
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7
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Dassanayake TL, Ariyasinghe DI, Baminiwatta A, Hewawasam C. Age-stratified norms for Raven's standard progressive matrices for Sri Lankan adults. Clin Neuropsychol 2025; 39:203-217. [PMID: 38937886 DOI: 10.1080/13854046.2024.2370908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 06/18/2024] [Indexed: 06/29/2024]
Abstract
OBJECTIVE The aim of this study was to create age-stratified norms for the Raven's Standard Progressive Matrices (SPM) for Sri Lankan adults. METHODS A sample of 610 adults (age: 18-72 years; education: 1-19 years), underwent the 60-item version of the SPM under individual supervision of a test administrator. The sample was stratified into 5-year age bands, and the norms are presented as percentile tables and percentile curves. RESULTS The age-related changes were more accurately predicted by a curvilinear model (overall R2 = 0.961) than a linear regression model (R2 = 0.639). The SPM norms are presented as age-stratified percentile tables, as well as sex-, age- and education-adjusted multiple regression equations. The highest percentiles in the younger end of the age spectrum showed a ceiling effect. In the context of age-stratified US (1993) and British (1992) norms, older individuals in the Sri Lankan sample scored much lower than their Western counterparts. However, the difference narrowed in the younger age bands, showing no difference among the 18-to-22-year age bands in the three countries. CONCLUSIONS This age-by-country interaction can be partly explained by poorer education in the older individuals in the present sample compared to those in the US and UK standardization samples. SPM norms presented in this paper fill a hiatus in assessment of general intellectual ability in Sri Lankan adults. Given that Sri Lanka improves its educational, socioeconomic and health standards faster than the nations who have already reached higher standards, these norms would require re-standardization in the coming decades.
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Affiliation(s)
- Tharaka L Dassanayake
- Department of Physiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka
| | - Dewasmika I Ariyasinghe
- Department of Physiology, Faculty of Medicine and Allied Health Sciences, Rajarata University of Sri Lanka, Saliyapura, Sri Lanka
| | - Anuradha Baminiwatta
- Department of Psychiatry, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - Chandana Hewawasam
- Department of Psychiatry, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka
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8
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Pan DN, Xie H, Zeng Y, Zhou Y, Lin C, Ma X, Ren J, Jiao Y, Wu Y, Wei W, Xue G. The development and validation of a tablet-based assessment battery of general cognitive ability. BMC Psychol 2024; 12:778. [PMID: 39719650 DOI: 10.1186/s40359-024-02283-7] [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: 12/11/2023] [Accepted: 12/10/2024] [Indexed: 12/26/2024] Open
Abstract
BACKGROUND Traditional cognitive assessments, often reliant on paper-and-pencil tests and professional evaluators, suffer from subjectivity and limited result discrimination. This study introduces the Baguan Online Cognitive Assessment System (BOCAS), a tablet-based system that evaluates both general cognitive ability (GCA) and domain-specific functions across six domains: sensory-motor skills, processing speed, sustained attention, working memory, cognitive flexibility, and spatial ability. METHODS BOCAS was validated with 151 healthy Chinese adults aged 18-40. Reliability was assessed through internal consistency and test-retest reliability. Factor analysis and confirmatory factor analysis (CFA) were used to validate the model. The GCA score was correlated with the Raven IQ test and self-reported cognitive flexibility, and its relationship with negative emotions (depression and anxiety) was examined. RESULTS BOCAS showed satisfactory reliability, with internal consistency ranging from 0.712 to 0.846 and test-retest reliability from 0.56 to 0.71. Factor analysis revealed a common factor explaining 40% of the variance, and CFA indicated a good model fit (χ²/df = 1.81; CFI = 0.932). The GCA score strongly correlated with the Raven IQ test (r = 0.58) and was related to self-reported cognitive flexibility and negative emotions. CONCLUSION BOCAS offers a digital solution for cognitive assessment, providing automated, remote, and precise evaluations. It demonstrates reliability, validity, and potential for use in clinical and research settings.
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Affiliation(s)
- Dong-Ni Pan
- School of Psychology, Beijing Language and Culture University, Beijing, 100083, China
| | - Hailun Xie
- Beijing Infinite Brain Technology Co., Ltd, Beijing, 100022, PR China
| | - Yanjia Zeng
- School of Psychology, Beijing Language and Culture University, Beijing, 100083, China
| | - Yixiang Zhou
- School of Psychology, Beijing Language and Culture University, Beijing, 100083, China
| | - Cuizhu Lin
- School of Psychology, Beijing Language and Culture University, Beijing, 100083, China
| | - Xin Ma
- School of Psychology, Beijing Language and Culture University, Beijing, 100083, China
| | - Juejing Ren
- Beijing Infinite Brain Technology Co., Ltd, Beijing, 100022, PR China
| | - Yuanyun Jiao
- Beijing Infinite Brain Technology Co., Ltd, Beijing, 100022, PR China
| | - Yingying Wu
- Beijing Infinite Brain Technology Co., Ltd, Beijing, 100022, PR China
| | - Wei Wei
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, PR China
| | - Gui Xue
- Beijing Infinite Brain Technology Co., Ltd, Beijing, 100022, PR China.
- State Key Laboratory Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
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9
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Scherrer V, Breit M, Preckel F. Crystallized Intelligence, Fluid Intelligence, and Need for Cognition: Their Longitudinal Relations in Adolescence. J Intell 2024; 12:104. [PMID: 39590631 PMCID: PMC11595727 DOI: 10.3390/jintelligence12110104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Revised: 10/18/2024] [Accepted: 10/21/2024] [Indexed: 11/28/2024] Open
Abstract
Investment theory and related theoretical approaches suggest a dynamic interplay between crystallized intelligence, fluid intelligence, and investment traits like need for cognition. Although cross-sectional studies have found positive correlations between these constructs, longitudinal research testing all of their relations over time is scarce. In our pre-registered longitudinal study, we examined whether initial levels of crystallized intelligence, fluid intelligence, and need for cognition predicted changes in each other. We analyzed data from 341 German students in grades 7-9 who were assessed twice, one year apart. Using multi-process latent change score models, we found that changes in fluid intelligence were positively predicted by prior need for cognition, and changes in need for cognition were positively predicted by prior fluid intelligence. Changes in crystallized intelligence were not significantly predicted by prior Gf, prior NFC, or their interaction, contrary to theoretical assumptions. This pattern of results was largely replicated in a model including all constructs simultaneously. Our findings support the notion that intelligence and investment traits, particularly need for cognition, positively interact during cognitive development, but this interplay was unexpectedly limited to Gf.
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Affiliation(s)
- Vsevolod Scherrer
- Department of Psychology, Trier University, D-54286 Trier, Germany; (M.B.); (F.P.)
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10
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Wei W, Xu C, Caviola S, Mammarella IC. Affective and cognitive factors associated with Chinese and Italian children's arithmetic performance. BMC Psychol 2024; 12:466. [PMID: 39217405 PMCID: PMC11366164 DOI: 10.1186/s40359-024-01965-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Accepted: 08/22/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND This study aimed to investigate the cognitive and affective factors associated with cross-cultural differences in arithmetic tasks. METHODS A total of 404 third- and fourth- graders were recruited from China and Italy to complete exact arithmetic, arithmetic estimation and cognitive tasks (i.e., short-term memory, executive functions, and fluid reasoning). Their mathematical anxiety was also measured. RESULTS The results showed that Chinese children performed better than Italian children in both arithmetic tasks and in shifting task. Italian children performed better in visuospatial updating task and reported higher levels of mathematical anxiety than their Chinese peers. Multi-group path analyses showed that the patterns of relations among cognitive factors (i.e., short-term memory, inhibition and shifting), mathematical anxiety, and arithmetic performance were similar across groups. The only exception was that visuospatial updating uniquely predicted arithmetic estimation for Chinese but not for Italian children. CONCLUSIONS Chinese children outperformed their Italian peers in the exact arithmetic task, likely due to the greater emphasis on arithmetic fluency in Chinese mathematics education, both in schools and at home. They also had a slight advantage than Italian peers in the arithmetic estimation task. The unique link between updating and arithmetic estimation found in Chinese children but not Italian children suggests that, although arithmetic estimation is not emphasized in the curricula of either country, instruction and practice in exact arithmetic may enhance Chinese children's efficiency in solving arithmetic estimation problems.
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Affiliation(s)
- Wei Wei
- Department of Psychology and Behavioral Sciences, Zhejiang University, Zijingang Campus, Hang Zhou, 310028, China.
| | - Chang Xu
- School of Psychology, Queen's University Belfast, Belfast, UK
| | - Sara Caviola
- Department of Developmental and Social Psychology, University of Padova, Padova, Italy
| | - Irene C Mammarella
- Department of Developmental and Social Psychology, University of Padova, Padova, Italy
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11
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van der Merwe I, Erasmus P, de Klerk W. Experiences of experts in intelligence measurement of South African school learners. AFRICAN JOURNAL OF PSYCHOLOGICAL ASSESSMENT 2024; 6:148. [PMID: 40406663 PMCID: PMC12082259 DOI: 10.4102/ajopa.v6i0.148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 04/12/2024] [Indexed: 05/26/2025]
Abstract
This qualitative research study emerged from the essential need for reliable and valid intelligence test instruments for South African school learners, who are characterised as a diverse population with their variety in culture, ethnicity, and language, as well as having unequal socio-economic and educational backgrounds. The aim of this research study was to use a qualitative interpretive description research design to explore and describe the experiences of both experts in intelligence test development and/or adaptation as well as psychologists and psychometrists who have administered intelligence tests to South African school learners in various contexts. Twelve psychologists and/or psychometrists were interviewed, of which six were also experts in test development and/or adaptation, which yielded four themes after thematic analysis, namely, utilised intelligence measurements in the current South African school learner context are less relevant; the South African education system is a major issue specifically within lower socio-economic status (SES) contexts; it does not seem feasible to design or adapt suitable intelligence measures that are valid and reliable in the current South African school learner context; and key informants' recommendations from their experiences. Contribution This research study contributes to the understanding of the measurement of intelligence of South African school learners in diverse contexts. Findings of this research study can guide the strategic process to design an intelligence instrument suitable for a South African population of school learners, informing fair assessment practices for multiethnic equalisation.
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Affiliation(s)
- Ilze van der Merwe
- School of Psychosocial Health, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
| | - Petro Erasmus
- School of Psychosocial Health, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
| | - Werner de Klerk
- School of Psychosocial Health, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
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12
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Furnier SM, Gangnon R, Daniels JL, Ellis Weismer S, Nadler C, Pazol K, Reyes NM, Rosenberg S, Rubenstein E, Wiggins LD, Yeargin-Allsopp M, Durkin MS. Racial and ethnic disparities in the co-occurrence of intellectual disability and autism: Impact of incorporating measures of adaptive functioning. Autism Res 2024; 17:650-667. [PMID: 38415400 PMCID: PMC11151777 DOI: 10.1002/aur.3107] [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: 11/14/2023] [Accepted: 01/27/2024] [Indexed: 02/29/2024]
Abstract
Intellectual disability (ID) commonly co-occurs in children with autism. Although diagnostic criteria for ID require impairments in both cognitive and adaptive functioning, most population-based estimates of the frequency of co-occurring ID in children with autism-including studies of racial and ethnic disparities in co-occurring autism and ID-base the definition of ID solely on cognitive scores. The goal of this analysis was to examine the effect of including both cognitive and adaptive behavior criteria on estimates of co-occurring ID in a well-characterized sample of 2- to 5-year-old children with autism. Participants included 3264 children with research or community diagnoses of autism enrolled in the population-based Study to Explore Early Development (SEED) phases 1-3. Based only on Mullen Scales of Early Learning (MSEL) composite cognitive scores, 62.9% (95% confidence interval [CI]: 61.1, 64.7%) of children with autism were estimated to have co-occurring ID. After incorporating Vineland Adaptive Behavior Scales, Second Edition (VABS-II) composite or domains criteria, co-occurring ID estimates were reduced to 38.0% (95% CI: 36.2, 39.8%) and 45.0% (95% CI: 43.1, 46.9%), respectively. The increased odds of meeting ID criteria observed for non-Hispanic (NH) Black and Hispanic children relative to NH White children when only MSEL criteria were used were substantially reduced, though not eliminated, after incorporating VABS-II criteria and adjusting for selected socioeconomic variables. This study provides evidence for the importance of considering adaptive behavior as well as socioeconomic disadvantage when describing racial and ethnic disparities in co-occurring ID in epidemiologic studies of autism.
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Affiliation(s)
- Sarah M. Furnier
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Ronald Gangnon
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Julie L. Daniels
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Susan Ellis Weismer
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Cy Nadler
- Division of Developmental and Behavioral Health, Children’s Mercy Kansas City, Kansas City, Missouri, USA
| | - Karen Pazol
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Nuri M. Reyes
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Steven Rosenberg
- Department of Psychiatry, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Eric Rubenstein
- Department of Epidemiology, Boston University, Boston, Massachusetts, USA
| | - Lisa D. Wiggins
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Marshalyn Yeargin-Allsopp
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Maureen S. Durkin
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
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13
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Salvadori E. Intelligence, cognition, and major neurocognitive disorders: From constructs to measures. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 5:100185. [PMID: 37736144 PMCID: PMC10510085 DOI: 10.1016/j.cccb.2023.100185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 08/15/2023] [Accepted: 09/13/2023] [Indexed: 09/23/2023]
Abstract
The study of intelligence's role in development of major neurocognitive disorders (MND) is influenced by the approaches used to conceptualize and measure these constructs. In the field of cognitive impairment, the use of single 'intelligence' tests is a common approach to estimate intelligence. Despite being a practical compromise between feasibility and constructs, variance of these tests is only partially explained by general intelligence, and some tools (e.g., lexical tasks for premorbid intelligence) presented inherent limitations. Alternatively, factorial models allow an actual measure of intelligence as a latent factor superintending all mental abilities. Royall and colleagues used structural equation modeling to decompose the Spearman's general intelligence factor g in δ (shared variance across cognitive and functional measures) and g' (shared variance across cognitive measures only). Authors defined δ as the 'cognitive correlates of functional status', and thus a 'phenotype for all cause dementia'. Compared to g', δ explained a little rate of cognitive measures' variance, but it demonstrated a higher accuracy in dementia case-finding. From the methodological perspective, given g 'indifference' to its indicators, further studies are needed to identify the minimal set of tools necessary to extract g, and to test also non-cognitive variables as measures of δ. From the clinical perspective, general intelligence seems to influence MND presence and severity more than domain specific cognitive abilities. Giving δ 'blindness' to etiology, its association with biomarkers and contribution to differential diagnosis might be limited. Classical neuropsychological approaches based on patterns of performances at cognitive tests remained fundamental for differential diagnosis.
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Affiliation(s)
- Emilia Salvadori
- Department of Biomedical and Clinical Sciences, University of Milan, Milan 20157, Italy
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14
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Romagnano V, Sokolov AN, Fallgatter AJ, Pavlova MA. Do subtle cultural differences sculpt face pareidolia? SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:28. [PMID: 37142598 PMCID: PMC10160123 DOI: 10.1038/s41537-023-00355-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 04/10/2023] [Indexed: 05/06/2023]
Abstract
Face tuning to non-face images such as shadows or grilled toasts is termed face pareidolia. Face-pareidolia images represent a valuable tool for investigation of social cognition in mental disorders. Here we examined (i) whether, and, if so, how face pareidolia is affected by subtle cultural differences; and (ii) whether this impact is modulated by gender. With this purpose in mind, females and males from Northern Italy were administered a set of Face-n-Thing images, photographs of objects such as houses or waves to a varying degree resembling a face. Participants were presented with pareidolia images with canonical upright orientation and display inversion that heavily affects face pareidolia. In a two-alternative forced-choice paradigm, beholders had to indicate whether each image resembled a face. The outcome was compared with the findings obtained in the Southwest of Germany. With upright orientation, neither cultural background nor gender affected face pareidolia. As expected, display inversion generally mired face pareidolia. Yet, while display inversion led to a drastic reduction of face impression in German males as compared to females, in Italians, no gender differences were found. In a nutshell, subtle cultural differences do not sculpt face pareidolia, but instead affect face impression in a gender-specific way under unusual viewing conditions. Clarification of the origins of these effects requires tailored brain imaging work. Implications for transcultural psychiatry, in particular, for schizophrenia research, are highlighted and discussed.
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Affiliation(s)
- Valentina Romagnano
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Alexander N Sokolov
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Andreas J Fallgatter
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Marina A Pavlova
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen, Germany.
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15
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Weerkamp PMM, Mol EM, Sweere DJJ, Schrans DGM, Vermeulen RJ, Klinkenberg S, Hurks PPM, Hendriksen JGM. Wechsler Scale Intelligence Testing in Males with Dystrophinopathies: A Review and Meta-Analysis. Brain Sci 2022; 12:1544. [PMID: 36421868 PMCID: PMC9688319 DOI: 10.3390/brainsci12111544] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/09/2022] [Accepted: 11/11/2022] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Intelligence scores in males with Duchenne Muscular Dystrophy (DMD) and Becker Muscular Dystrophy (BMD) remain a major issue in clinical practice. We performed a literature review and meta-analysis to further delineate the intellectual functioning of dystrophinopathies. METHOD Published, peer-reviewed articles assessing intelligence, using Wechsler Scales, of males with DMD or BMD were searched from 1960 to 2022. Meta-analysis with random-effects models was conducted, assessing weighted, mean effect sizes of full-scale IQ (FSIQ) scores relative to normative data (Mean = 100, Standard Deviation = 15). Post hoc we analysed differences between performance and verbal intelligence scores. RESULTS 43 studies were included, reporting data on 1472 males with dystrophinopathies; with FSIQ scores available for 1234 DMD (k = 32) and 101 BMD (k = 7). DMD males score, on average, one standard deviation below average (FSIQ = 84.76) and significantly lower than BMD (FSIQ = 92.11). Compared to a previous meta-analysis published in 2001, we find, on average, significantly higher FSIQ scores in DMD. CONCLUSION Males with Duchenne have, on average, significantly lower FSIQ scores than BMD males and the general population. Clinicians must consider lower intelligence in dystrophinopathies to ensure good clinical practice.
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Affiliation(s)
- Pien M. M. Weerkamp
- Expert Centre for Neurological and Developmental Learning Disabilities, Kempenhaeghe, Sterkselseweg 65, 5591 VE Heeze, The Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 40, UNS40, 6229 ER Maastricht, The Netherlands
| | - Eva M. Mol
- Expert Centre for Neurological and Developmental Learning Disabilities, Kempenhaeghe, Sterkselseweg 65, 5591 VE Heeze, The Netherlands
- Klimmendaal Academy, Klimmendaal Rehabilitation Specialists, Heijenoordseweg 5, 6813 GG Arnhem, The Netherlands
| | - Dirk J. J. Sweere
- Expert Centre for Neurological and Developmental Learning Disabilities, Kempenhaeghe, Sterkselseweg 65, 5591 VE Heeze, The Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 40, UNS40, 6229 ER Maastricht, The Netherlands
| | | | - R. Jeroen Vermeulen
- School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 40, UNS40, 6229 ER Maastricht, The Netherlands
- Department of Neurology, Maastricht University Medical Centre, 6229 ER Maastricht, The Netherlands
| | - Sylvia Klinkenberg
- Expert Centre for Neurological and Developmental Learning Disabilities, Kempenhaeghe, Sterkselseweg 65, 5591 VE Heeze, The Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 40, UNS40, 6229 ER Maastricht, The Netherlands
- Department of Neurology, Maastricht University Medical Centre, 6229 ER Maastricht, The Netherlands
| | - Petra P. M. Hurks
- School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 40, UNS40, 6229 ER Maastricht, The Netherlands
- Department of Neurology, Maastricht University Medical Centre, 6229 ER Maastricht, The Netherlands
| | - Jos G. M. Hendriksen
- Expert Centre for Neurological and Developmental Learning Disabilities, Kempenhaeghe, Sterkselseweg 65, 5591 VE Heeze, The Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 40, UNS40, 6229 ER Maastricht, The Netherlands
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