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Sørensen L, Adolfsdottir S, Kvadsheim E, Eichele H, Plessen KJ, Sonuga-Barke E. Suboptimal decision making and interpersonal problems in ADHD: longitudinal evidence from a laboratory task. Sci Rep 2024; 14:6535. [PMID: 38503800 PMCID: PMC10951300 DOI: 10.1038/s41598-024-57041-x] [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: 05/24/2023] [Accepted: 03/13/2024] [Indexed: 03/21/2024] Open
Abstract
Over half of children with Attention-Deficit/Hyperactivity Disorder (ADHD) display interpersonal and social problems. Several lines of research suggest that suboptimal decision making, the ability to adjust choices to different risk-varying options, influences poorer choices made in social interactions. We thus measured decision making and its prediction of social problems longitudinally with the Cambridge Gambling Task in children with ADHD over four years. Children with ADHD had shown suboptimal decision making driven mainly by delay aversion at baseline and we expected this to be a stabile trait which would predict greater parent-reported social problems. From the baseline assessment (n = 70), 67% participated at the follow-up assessment, 21 from the ADHD group and 26 from the typically developing group. The mean age at the follow-up was 14.5 years old. The results confirmed our expectations that suboptimal decision making was a stabile trait in children and adolescents with ADHD. Although delay aversion did not differ from controls at follow-up it still proved to be the main longitudinal predictor for greater social problems. Our findings indicate that impulsivity in social interactions may be due to a motivational deficit in youth with ADHD.
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Affiliation(s)
- L Sørensen
- Department of Biological and Medical Psychology, University of Bergen, Jonas Liesvei 91, 5009, Bergen, Norway.
| | - S Adolfsdottir
- Department of Biological and Medical Psychology, University of Bergen, Jonas Liesvei 91, 5009, Bergen, Norway
- Division of Vision Impairments, Statped - National Service for Special Needs Education, Bergen, Norway
| | - E Kvadsheim
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - H Eichele
- Regional Resource Centre for Autism, ADHD and Tourette Syndrome Western Norway, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - K J Plessen
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - E Sonuga-Barke
- Department of Child and Adolescent Psychiatry, King's College London, London, UK
- Department of Child and Adolescent Psychiatry, Aarhus University, Aarhus, Denmark
- Department of Psychology, Hong Kong University, Hong Kong, China
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Conte G, Costanza C, Novelli M, Scarselli V, Arigliani E, Valente F, Baglioni V, Terrinoni A, Chiarotti F, Cardona F. Comorbidities and Disease Duration in Tourette Syndrome: Impact on Cognition and Quality of Life of Children. CHILDREN (BASEL, SWITZERLAND) 2024; 11:226. [PMID: 38397337 PMCID: PMC10887127 DOI: 10.3390/children11020226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 02/01/2024] [Accepted: 02/04/2024] [Indexed: 02/25/2024]
Abstract
BACKGROUND Cognitive functions represent foundational factors for mental health and quality of life (QoL). In Tourette syndrome (TS), psychiatric comorbidities are common and have been inconsistently reported to affect the cognition and QoL of patients, while the role of tic disorder duration has not been yet explored. METHODS To examine how comorbidities and TS duration may influence cognition and QoL, N = 80 children with TS (6-16 years) were evaluated using the Wechsler Intelligence Scale for Children (WISC-IV). Standardized questionnaires were used to assess the presence and severity of TS main comorbidities and QoL. Data were interpreted using linear correlations, regression, and mediation analysis. RESULTS Depression and attention-deficit/hyperactivity disorder (ADHD) symptoms accounted for poorer cognitive performance. Anxiety oppositely predicted better cognitive performance, while no significant role for obsessive compulsive disorder (OCD) was observed. Disease duration was associated with lower total IQ, verbal reasoning, and working memory abilities. Depression, anxiety, and TS duration also deeply influenced QoL measures. CONCLUSIONS TS common comorbidities have a differential impact on the cognitive abilities of children and adolescents, which translates into a complex influence on their perceived QoL. A longer clinical history of tics was related to worse cognitive outcomes, which prompts further consideration of disease duration in both clinical and research settings involving children and adolescents.
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Affiliation(s)
- Giulia Conte
- Child and Adolescent Neuropsychiatry Unit, Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy; (G.C.); (M.N.); (V.S.); (E.A.); (F.V.); (V.B.); (A.T.)
| | - Carola Costanza
- Department of Sciences for Health Promotion and Mother and Child Care “G. D’Alessandro”, University of Palermo, 90128 Palermo, Italy;
| | - Maria Novelli
- Child and Adolescent Neuropsychiatry Unit, Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy; (G.C.); (M.N.); (V.S.); (E.A.); (F.V.); (V.B.); (A.T.)
| | - Veronica Scarselli
- Child and Adolescent Neuropsychiatry Unit, Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy; (G.C.); (M.N.); (V.S.); (E.A.); (F.V.); (V.B.); (A.T.)
| | - Elena Arigliani
- Child and Adolescent Neuropsychiatry Unit, Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy; (G.C.); (M.N.); (V.S.); (E.A.); (F.V.); (V.B.); (A.T.)
| | - Francesca Valente
- Child and Adolescent Neuropsychiatry Unit, Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy; (G.C.); (M.N.); (V.S.); (E.A.); (F.V.); (V.B.); (A.T.)
| | - Valentina Baglioni
- Child and Adolescent Neuropsychiatry Unit, Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy; (G.C.); (M.N.); (V.S.); (E.A.); (F.V.); (V.B.); (A.T.)
| | - Arianna Terrinoni
- Child and Adolescent Neuropsychiatry Unit, Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy; (G.C.); (M.N.); (V.S.); (E.A.); (F.V.); (V.B.); (A.T.)
| | - Flavia Chiarotti
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy;
| | - Francesco Cardona
- Child and Adolescent Neuropsychiatry Unit, Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy; (G.C.); (M.N.); (V.S.); (E.A.); (F.V.); (V.B.); (A.T.)
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Lee CSC. Processing Speed Deficit and Its Relationship with Math Fluency in Children with Attention-Deficit/Hyperactivity Disorder. J Atten Disord 2024; 28:211-224. [PMID: 37981794 DOI: 10.1177/10870547231211022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
OBJECTIVES (1) To determine the processing speed (PS) deficit in children with ADHD; and (2) To investigate if PS deficit was the primary cause of daily dysfunction in ADHD by testing the direct and indirect effects via working memory (WM) of PS on math fluency (MF). METHOD Seventy-eight children (52 children with ADHD and 26 controls) were tested on their motor, perceptual, cognitive, and verbal PS, WM, and MF. RESULTS Children with ADHD performed worse than controls on all PS, suggesting a general PS deficit. Moreover, cognitive PS was a significant predictor for MF. Mediation analysis showed that cognitive PS had direct and indirect effects via WM on MF, suggesting PS deficit might be the primary cause of MF difficulties in ADHD. CONCLUSION Findings of this study suggested a general PS deficit in ADHD. Due to the importance of PS in MF, interventions for MF underachievers should include assessment and training of PS.
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Affiliation(s)
- Clara S C Lee
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong
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Fasano A, Biancardi C, Masi G, Della Vecchia S, Frumento P, Mazzoni A, Falotico E, Faraguna U, Sicca F. Maximum downward slope of sleep slow waves as a potential marker of attention-deficit/hyperactivity disorder clinical phenotypes. J Psychiatr Res 2022; 156:679-689. [PMID: 36399860 DOI: 10.1016/j.jpsychires.2022.10.057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 08/25/2022] [Accepted: 10/28/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Attention-Deficit/Hyperactivity Disorder (ADHD) is a highly heterogeneous diagnostic category, encompassing several endophenotypes and comorbidities, including sleep problems. However, no predictor of clinical long-term trajectories or comorbidity has yet been established. Sleep EEG has been proposed as a potential tool for evaluating the synaptic strength during development, as well as the cortical thickness, which is presumed to be altered in ADHD. We investigated whether the slope of the Slow Waves (SWs), a microstructural parameter of the sleep EEG, was a potential predictive parameter for psychiatric comorbidities and neuropsychological dimensions in ADHD. METHODS 70 children (58 m; 8.76 ± 2.77 y) with ADHD who underwent psychiatric and neurologic evaluations and a standard EEG recording during naps were investigated. After sleep EEG analysis, we grouped the extracted SWs in bins of equal amplitude and then measured the associations, through generalized linear regression, between their maximum downward slopes (MDS) and the individual scores obtained from clinical rating scales. RESULTS The presence of Multiple Anxiety Disorders was positively associated with MDS of medium amplitude SWs in temporo-posterior left areas. The Child Behavior Checklist scores showed negative associations in the same areas for small SWs. The presence of autistic traits was positively associated with MDS of high amplitude SWs in bilateral anterior and temporal left areas. The WISC-IV Processing Speed Index showed negative associations with MDS of small-to-medium SWs in anterior and temporal right areas, while positive associations in posterior and temporal left areas. CONCLUSIONS Consistency of association clusters' localization on the scalp suggests that variations in the local MDS, revealing alterations of local synaptic strength and/or in daytime use of certain cortical circuits, could underlie specific neurodevelopmental trajectories resulting in different ADHD clinical phenotypes.
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Affiliation(s)
- Alessio Fasano
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
| | - Carlo Biancardi
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
| | - Gabriele Masi
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy
| | | | - Paolo Frumento
- Department of Political Sciences, University of Pisa, Pisa, Italy
| | - Alberto Mazzoni
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Egidio Falotico
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Ugo Faraguna
- Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy; Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
| | - Federico Sicca
- Child and Adolescent Epilepsy and Clinical Neurophysiology Departmental Unit, USL Centro Toscana, 59100, Prato, Italy
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Lowet DS, Kolan A, Vaida F, Hesselink JR, Levin HS, Ewing-Cobbs L, Schachar RJ, Chapman SB, Bigler ED, Wilde EA, Saunders AE, Yang TT, Tymofiyeva O, Arif H, Max JE. Novel Oppositional Defiant Disorder 6 Months After Traumatic Brain Injury in Children and Adolescents. J Neuropsychiatry Clin Neurosci 2022; 34:68-76. [PMID: 34763527 PMCID: PMC10362978 DOI: 10.1176/appi.neuropsych.21020052] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVE The investigators aimed to assess predictive factors of novel oppositional defiant disorder (ODD) among children and adolescents in the first 6 months following traumatic brain injury (TBI). METHODS Children ages 5-14 years who experienced a TBI were recruited from consecutive admissions to five hospitals. Testing of a biopsychosocial model that may elucidate the development of novel ODD included assessment soon after injury (baseline) of preinjury characteristics, including psychiatric disorders, adaptive function, family function, psychosocial adversity, family psychiatric history, socioeconomic status, injury severity, and postinjury processing speed (which may be a proxy for brain injury). MRI analyses were also conducted to examine potential brain lesions. Psychiatric outcome, including that of novel ODD, was assessed 6 months after the injury. RESULTS A total of 177 children and adolescents were recruited for the study, and 134 who were without preinjury ODD, conduct disorder, or disruptive behavior disorder not otherwise specified (DBD NOS) returned for the 6-month assessment. Of those who returned 6 months postinjury, 11 (8.2%) developed novel ODD, and none developed novel conduct disorder or DBD NOS. Novel ODD was significantly associated with socioeconomic status, preinjury family functioning, psychosocial adversity, and processing speed. CONCLUSIONS These findings show that an important minority of children with TBI developed ODD. Psychosocial and injury-related variables, including socioeconomic status, lower family function, psychosocial adversity, and processing speed, significantly increase risk for this outcome.
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Affiliation(s)
- Daniel S Lowet
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Anish Kolan
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Florin Vaida
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - John R Hesselink
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Harvey S Levin
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Linda Ewing-Cobbs
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Russell J Schachar
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Sandra B Chapman
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Erin D Bigler
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Elisabeth A Wilde
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Ann E Saunders
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Tony T Yang
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Olga Tymofiyeva
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Hattan Arif
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
| | - Jeffrey E Max
- Department of Psychiatry, University of California, San Diego (Lowet, Arif, Max); Quinnipiac University, Hamden, Conn. (Kolan); Herbert Wertheim School of Public Health, Division of Biostatistics & Bioinformatics, University of California, San Diego (Vaida); Department of Radiology, University of California, San Diego (Hesselink); Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston (Levin); Departments of Pediatrics (Ewing-Cobbs) and Psychiatry (Saunders), University of Texas Health Science Center, Houston; the Hospital for Sick Children, University of Toronto (Schachar); Center for BrainHealth, University of Texas, Dallas (Chapman); Department of Psychology, Brigham Young University, Provo, Utah (Bigler); Department of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City (Bigler, Wilde); Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, University of California, San Francisco (Yang); Department of Radiology and Biomedical Imaging, University of California, San Francisco (Tymofiyeva); and Rady Children's Hospital, San Diego (Max)
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Forchelli G, Vuijk P, Colvin M, Ward AK, Koven MR, Dews A, Doyle A, Braaten EB. What is a processing speed weakness? Importance of cognitive ability when defining processing speed in a child psychiatric population. Child Neuropsychol 2022; 28:266-286. [PMID: 34544318 PMCID: PMC9284538 DOI: 10.1080/09297049.2021.1972957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
There is growing evidence that processing speed (PS) deficits in youth with neuropsychiatric conditions are associated with functional difficulties. However, there is no consistent definition of slower PS; specifically, whether slower PS should be defined as a discrepancy from same-aged peers (normative weakness) or as an intrapersonal deficit relative to overall cognitive ability (relative weakness). In a sample of clinically-referred youth, we calculated slower PS both ways and examined the impact on adaptive, academic, and psychopathology outcomes in relation to different levels of cognitive ability. Significant PS x cognitive ability interactions were found on adaptive and academic outcomes. A norm-based weakness in PS (PSI Standard Score <85) was associated with lower adaptive skills and lower academic skills regardless of cognitive ability. In the above average cognitive ability group, relatively lower PS (PSI >15 point difference from VCI) was associated with significantly lower academic performance. No significant associations were found for general psychopathology. Results suggest a normative weakness in PS impacts functional outcomes interactively and differently with level of general cognitive ability. Data suggest that higher cognitive ability may be somewhat protective from the impact of normatively weak PS on adaptive outcomes; however, youth across all abilities with normatively weak PS showed weaker academic performance. Second, children with high cognitive abilities and relatively weak PS showed discrepant performance compared to comparison group. Implications and areas for future research are discussed.
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Affiliation(s)
- G.A. Forchelli
- MGH Psychiatry Department, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - P.J. Vuijk
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - M.K. Colvin
- MGH Psychiatry Department, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - A. K. Ward
- MGH Psychiatry Department, Massachusetts General Hospital, Boston, MA, USA
| | - M. R Koven
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - A. Dews
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - A.E. Doyle
- MGH Psychiatry Department, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA,Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - E. B. Braaten
- MGH Psychiatry Department, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
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7
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Children and adolescents with neurodevelopmental disorders show cognitive heterogeneity and require a person-centered approach. Sci Rep 2021; 11:18463. [PMID: 34531454 PMCID: PMC8445997 DOI: 10.1038/s41598-021-97551-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 07/09/2021] [Indexed: 11/15/2022] Open
Abstract
We aimed to identify patterns of cognitive differences and characterize subgroups of Mexican children and adolescents with three neurodevelopmental disorders (NDD): intellectual disability (ID), autism spectrum disorders (ASD) and attention deficit/hyperactivity disorder (ADHD). The sample included 74 children and adolescents 6–15 years; 34% had ID, ASD or ADHD, 47% had ID in comorbidity with ASD, ADHD or both, 11% had ASD + ADHD, 8% were children without NDD. We applied WISC-IV, Autism Diagnostic Interview-Revised, Mini-International Neuropsychiatric Structured Interview, Child Behavior Checklist, and UNICEF Child Functioning Module. We evaluated the normality of the WISC-IV sub-scales using the Shapiro-Francia test, then conducted a latent class analysis and assessed inter-class differences in terms of household, parent and child characteristics. The following four-class solution best fit the data: “Lower Cognitive Profile” (LCP), “Lower Working Memory” (LWM), “Higher Working Memory” (HWM), “Higher Cognitive Profile” (HCP). LCP included most of the children with ID, who had a low Working Memory (WM) index score. LWM included mainly children with ASD or ID + ADHD; their Perceptual Reasoning (PR) and Processing Speed (PS) index scores were much higher than those for Verbal Comprehension (VC) and WM. HWM included children with ASD or ADHD; their scores for PR, PS and VC were high with lower WM (although higher than for LWM). HCP included children without NDD and with ASD or ADHD or both and had the highest scores on all indices. Children with NDD show cognitive heterogeneity and thus require individualized treatment plans.
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8
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Mohamed SMH, Butzbach M, Fuermaier ABM, Weisbrod M, Aschenbrenner S, Tucha L, Tucha O. Basic and complex cognitive functions in Adult ADHD. PLoS One 2021; 16:e0256228. [PMID: 34473722 PMCID: PMC8412315 DOI: 10.1371/journal.pone.0256228] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 08/02/2021] [Indexed: 12/02/2022] Open
Abstract
Background Many clinical studies reported deficits in basic and complex cognitive functions in adults with Attention-Deficit/Hyperactivity Disorder (ADHD). However, the extent in which deficits in basic functions (i.e., processing speed and distractibility) contribute to complex cognitive impairments (i.e., working memory, planning, cognitive flexibility, memory functions) in adults with ADHD is not well-studied. So far, literature show only one study, revealing that basic functions explain 27–74% of executive dysfunctions. Yet, the authors reported that findings could be affected by the selection of neuropsychological tests. The goal of the present research is to replicate such a finding using a different sample and a different set of neuropsychological tests. Methods Forty-eight adult patients with ADHD were compared with 48 healthy controls in basic cognitive functions, namely processing speed and distractibility and more complex cognitive functions, namely selective attention, cognitive flexibility, planning, working memory, verbal fluency, and verbal memory. Basic and complex cognitive functions were assessed using the Vigilance and Sustained Attention, Selective Attention, N-Back, Tower of London, Trail Making Test, Word Fluency, and Verbal Learning and Memory. Results and conclusion Logistic regression analyses showed that impairments in complex cognitive functions explained 25% of the variance in ADHD diagnosis. The explained variance dropped from 25% to 9% after considering basic functions of processing speed and distractibility. This 64% reduction highlights the importance of basic functions for impairments in complex functions in patients with ADHD.
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Affiliation(s)
- Saleh M. H. Mohamed
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, Netherlands
- * E-mail:
| | - Marah Butzbach
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, Netherlands
| | - Anselm B. M Fuermaier
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, Netherlands
| | - Matthias Weisbrod
- Psychiatry and Psychotherapy, SRH Clinic Karlsbad-Langensteinbach, Karlsbad, Germany
- General Psychiatry, Center of Psychosocial Medicine, University of Heidelberg, Heidelberg, Germany
| | - Steffen Aschenbrenner
- Clinical Psychology and Neuropsychology, SRH Clinic Karlsbad-Langensteinbach, Karlsbad, Germany
| | - Lara Tucha
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, Netherlands
- Department of Psychiatry and Psychotherapy, University Medical Center Rostock, Rostock, Germany
| | - Oliver Tucha
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, Netherlands
- Department of Psychiatry and Psychotherapy, University Medical Center Rostock, Rostock, Germany
- Department of Psychology, Maynooth University, National University of Ireland, Maynooth, Ireland
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9
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Wong SM, Arski ON, Warsi NM, Pang EW, Kerr E, Smith ML, Dunkley BT, Ochi A, Otsubo H, Sharma R, Jain P, Donner E, Snead OC, Ibrahim GM. Phase Resetting in the Anterior Cingulate Cortex Subserves Childhood Attention and Is Impaired by Epilepsy. Cereb Cortex 2021; 32:29-40. [PMID: 34255825 DOI: 10.1093/cercor/bhab192] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 06/04/2021] [Accepted: 06/06/2021] [Indexed: 11/12/2022] Open
Abstract
The neural mechanisms that underlie selective attention in children are poorly understood. By administering a set-shifting task to children with intracranial electrodes stereotactically implanted within anterior cingulate cortex (ACC) for epilepsy monitoring, we demonstrate that selective attention in a set-shifting task is dependent upon theta-band phase resetting immediately following stimulus onset and that the preferred theta phase angle is predictive of reaction time during attentional shift. We also observe selective enhancement of oscillatory coupling between the ACC and the dorsal attention network and decoupling with the default mode network during task performance. When transient focal epileptic activity occurs around the time of stimulus onset, phase resetting is impaired, connectivity changes with attentional and default mode networks are abolished, and reaction times are prolonged. The results of the present work highlight the fundamental mechanistic role of oscillatory phase in ACC in supporting attentional circuitry and present novel opportunities to remediate attention deficits in children with epilepsy.
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Affiliation(s)
- Simeon M Wong
- Institute of Biomedical Engineering, University of Toronto, 164 College St Room 407, Toronto, ON, M5S 3G9, Canada.,Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, 686 Bay St., Toronto, Ontario, M5G 0A4, Canada
| | - Olivia N Arski
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, 686 Bay St., Toronto, Ontario, M5G 0A4, Canada.,Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, Ontario, M5S 1A1, Canada
| | - Nebras M Warsi
- Institute of Biomedical Engineering, University of Toronto, 164 College St Room 407, Toronto, ON, M5S 3G9, Canada.,Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, 686 Bay St., Toronto, Ontario, M5G 0A4, Canada.,Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Canada
| | - Elizabeth W Pang
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, 686 Bay St., Toronto, Ontario, M5G 0A4, Canada.,Division of Neurology, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, M5G 1X8, Canada
| | - Elizabeth Kerr
- Department of Psychology, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, M5G 1X8, Canada.,Department of Psychology, University of Toronto, Toronto, M5G 1X8, Canada
| | - Mary Lou Smith
- Department of Psychology, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, M5G 1X8, Canada.,Department of Psychology, University of Toronto, Toronto, M5G 1X8, Canada
| | - Benjamin T Dunkley
- Institute of Biomedical Engineering, University of Toronto, 164 College St Room 407, Toronto, ON, M5S 3G9, Canada
| | - Ayako Ochi
- Division of Neurology, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, M5G 1X8, Canada
| | - Hiroshi Otsubo
- Division of Neurology, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, M5G 1X8, Canada
| | - Roy Sharma
- Division of Neurology, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, M5G 1X8, Canada
| | - Puneet Jain
- Division of Neurology, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, M5G 1X8, Canada
| | - Elizabeth Donner
- Division of Neurology, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, M5G 1X8, Canada
| | - O Carter Snead
- Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, 686 Bay St., Toronto, Ontario, M5G 0A4, Canada.,Division of Neurology, The Hospital for Sick Children, 555 University Ave., Toronto, Ontario, M5G 1X8, Canada.,Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, Ontario, M5S 1A1, Canada
| | - George M Ibrahim
- Institute of Biomedical Engineering, University of Toronto, 164 College St Room 407, Toronto, ON, M5S 3G9, Canada.,Program in Neuroscience and Mental Health, The Hospital for Sick Children Research Institute, 686 Bay St., Toronto, Ontario, M5G 0A4, Canada.,Division of Neurosurgery, The Hospital for Sick Children, Department of Surgery, University of Toronto, Toronto, Canada.,Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, Ontario, M5S 1A1, Canada
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10
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Anker E, Ogrim G, Heir T. Verbal working memory and processing speed: Correlations with the severity of attention deficit and emotional dysregulation in adult ADHD. J Neuropsychol 2021; 16:211-235. [PMID: 34218514 PMCID: PMC9290636 DOI: 10.1111/jnp.12260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 06/18/2021] [Indexed: 12/02/2022]
Abstract
Objectives The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM‐5), emphasizes symptoms severity with regard to the diagnosis of attention deficit hyperactivity disorder (ADHD). Many clinicians use neuropsychological test results as objective measures of cognitive functions as part of the diagnostic work‐up. The aim of this study was to investigate whether the psychometric test results regarding verbal working memory and processing speed are useful as indicators of the severity of attention deficits and emotional dysregulation in adults with ADHD. Methods This observational cross‐sectional clinical study included 418 adults diagnosed with ADHD according to the DSM‐5. Attention deficit severity was defined based on the inattentive subscale of the Adult ADHD Self‐Report Scale. Emotional dysregulation was assessed with the Deficient Emotional Self‐Regulation scale. Verbal working memory was measured with the Working Memory Index (WMI), and processing speed was measured with the Processing Speed Index (PSI) from the Wechsler Adult Intelligence Scale, third edition. Results The full‐scale intelligence quotients of the participants were in the normal range, with expected reductions in verbal working memory and processing speed. Only processing speed was associated with attention deficits (β = −.056, p = .003). The association between the psychometric test result for verbal working memory and processing speed and that between the severity of attention deficits and emotional dysregulation were weak (R2 < .1) and mostly non‐significant. Conclusion The psychometric index scores for verbal working memory (WMI) and processing speed (PSI) seem to have limited utility as indicators of the severity of attention deficits and emotional dysregulation in adult ADHD patients.
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Affiliation(s)
| | - Geir Ogrim
- Østfold Hospital Trust, Norway.,Gillberg Neuropsychiatry Centre, University of Gothenburg, Sweden
| | - Trond Heir
- Institute of clinical Medicine, University of Oslo, Norway
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11
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Koltermann G, Becker N, Paiva GM, De Almeida Gomides MR, Haase VG, Fumagalli De Salles J. Inattention Symptoms are Predictors of Neuropsychological Functioning in Children from 3rd and 4th Grades. Dev Neuropsychol 2020; 45:396-413. [PMID: 33043703 DOI: 10.1080/87565641.2020.1828424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Symptoms of inattention and hyperactivity/impulsivity, arranged along a continuum, are commonly associated with neuropsychological and academic deficits, even in the general population. The aim of this study is to analyze how Attention Deficit Hyperactivity Disorder (ADHD) symptoms are associated with the performance in neuropsychological and academic abilities (phonological processing, processing speed/automatic attention, executive functions, reading, and spelling) in school-age children. The sample consisted of 216 children from 3rd and 4th grades (M = 8.94 years old, SD =.71) from public elementary schools of two Brazilian capitals. Pearson correlation and Multiple Linear Regression analysis were performed. Inattention symptoms were the only predictors of performance in phonological processing (phoneme suppression and rapid automatized naming of letters), processing speed/automatic attention, executive functions, such as inhibitory control and cognitive flexibility, and reading fluency. Beta values ranged from .14 to .27, and the largest value was related to an inhibitory control task. Inattention, and not hyperactivity/impulsivity symptoms, seems to affect neuropsychological functions even in non-clinical diagnosed children. Contributions and future directions are discussed.
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Affiliation(s)
- Gabriella Koltermann
- Institute of Psychology, Universidade Federal do Rio Grande do Sul , Porto Alegre, Rio Grande do Sul, Brazil
| | - Natália Becker
- Institute of Psychology, Universidade Federal do Rio Grande do Sul , Porto Alegre, Rio Grande do Sul, Brazil
| | - Giulia Moreira Paiva
- Department of Psychology, Universidade Federal de Minas Gerais , Belo Horizonte, Minas Gerais, Brazil
| | | | - Vitor Geraldi Haase
- Department of Psychology, Universidade Federal de Minas Gerais , Belo Horizonte, Minas Gerais, Brazil
| | - Jerusa Fumagalli De Salles
- Institute of Psychology, Universidade Federal do Rio Grande do Sul , Porto Alegre, Rio Grande do Sul, Brazil
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12
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Rommelse N, Luman M, Kievit R. Slow processing speed: a cross-disorder phenomenon with significant clinical value, and in need of further methodological scrutiny. Eur Child Adolesc Psychiatry 2020; 29:1325-1327. [PMID: 32915272 DOI: 10.1007/s00787-020-01639-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Nanda Rommelse
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, The Netherlands.
- Radboud University Medical Centre, Nijmegen, The Netherlands.
| | - Marjolein Luman
- Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Levvel Specialists in Youth and Family Care, Amsterdam, The Netherlands
| | - Rogier Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
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13
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Kramer E, Koo B, Restrepo A, Koyama M, Neuhaus R, Pugh K, Andreotti C, Milham M. Diagnostic Associations of Processing Speed in a Transdiagnostic, Pediatric Sample. Sci Rep 2020; 10:10114. [PMID: 32572148 PMCID: PMC7308370 DOI: 10.1038/s41598-020-66892-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 05/15/2020] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION The present study examines the relationships between processing speed (PS), mental health disorders, and learning disorders. Prior work has tended to explore relationships between PS deficits and specific diagnoses in isolation of one another. Here, we simultaneously investigated PS associations with five diagnoses (i.e., anxiety, autism, ADHD, depressive, specific learning) in a large-scale, transdiagnostic, community self-referred sample. METHOD 843 children, ages 8-16 were included from the Healthy Brain Network (HBN) Biobank. Principal component analysis (PCA) was employed to create a composite measure of four PS tasks, referred to as PC1. Intraclass correlation coefficient (ICC) between the four PS measures, as well as PC1, were calculated to assess reliability. RESULTS ICCs were moderate between WISC-V tasks (0.663), and relatively modest between NIH Toolbox Pattern Comparison and other PS scales (0.14-0.27). Regression analyses revealed specific significant relationships between PS and reading and math disabilities, ADHD-inattentive presentation (ADHD-I), and ADHD-combined presentation (ADHD-C). After accounting for inattention, the present study did not find a significant relationship with Autism Spectrum Disorder. DISCUSSION Our examination of PS in a large, transdiagnostic sample suggested more specific associations with ADHD and learning disorders than the literature currently suggests. Implications for understanding how PS interacts with a highly heterogeneous childhood sample are discussed.
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Affiliation(s)
- Eliza Kramer
- Healthy Brain Network, Child Mind Institute, New York, New York, USA
| | - Bonhwang Koo
- Center for the Developing Brain, Child Mind Institute, New York, New York, USA
| | - Anita Restrepo
- Healthy Brain Network, Child Mind Institute, New York, New York, USA
| | | | - Rebecca Neuhaus
- Healthy Brain Network, Child Mind Institute, New York, New York, USA
| | | | | | - Michael Milham
- Center for the Developing Brain, Child Mind Institute, New York, New York, USA.
- Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York, USA.
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14
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Cognition in Children with Arachnoid Cysts. J Clin Med 2020; 9:jcm9030850. [PMID: 32244990 PMCID: PMC7141502 DOI: 10.3390/jcm9030850] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 03/18/2020] [Accepted: 03/19/2020] [Indexed: 02/07/2023] Open
Abstract
Background: This study aims to evaluate if children with temporal arachnoid cysts (AC) have cognitive symptoms and if neurosurgery improves these. Methods: A prospective case series study including consecutive pediatric patients with temporal AC. The children underwent neuroradiology, neuroopthalmologic evaluation, and a standard electroencephalography (EEG). Additionally, a neuropsychologist performed a standardized set of evaluations, with a one-year follow-up consisting of Weschler Intelligence Scale for Children version IV (WISC-IV), FAS (for verbal fluency), Boston Naming Test (BNT, for visual naming ability) and NEPSY-II (Developmental NEuroPSYchological Assessment) for verbal memory. Results: Fifteen children, 9 boys and 6 girls, were evaluated and 11 underwent surgery. The Full Scale IQ subscore (FSIQ) improved from M = 84.8 to M = 93.0 (p = 0.005). The preoperative Verbal Comprehension Index (VCI) was in the low average range (M = 86.7), improving to a level within the average range (M = 94.7, p = 0.001). Preoperative Perceptual Speed Index (PSI) was in the below average range (M = 81.5), improving to a level within the average range (M = 92.5, p = 0.004). Conclusion: ACs are a common finding in a pediatric neurosurgical setting. Our data suggest that some temporal AC have a negative effect on general cognitive ability and that this impairment can be improved by surgery. We suggest a standardized evaluation, including comprehensive and validated neuropsychological assessment tools, to thoroughly assess symptoms as well as the postoperative outcome.
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