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Rosenblum S, Sharfi K, Elimelech OC, Regev S, Grinblat N. Predicting emotional consequences of disorganization among adults with neurodevelopmental disorders: a structural equation model. Disabil Rehabil 2025; 47:1954-1964. [PMID: 39119890 DOI: 10.1080/09638288.2024.2385733] [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: 11/15/2023] [Revised: 07/21/2024] [Accepted: 07/24/2024] [Indexed: 08/10/2024]
Abstract
PURPOSE Previous studies exhibited differences in sensory processing, motor coordination, metacognitive executive functions (EF-MI), and sleep quality among adults with neurodevelopmental disorders (NDD). This study aims to find relationships between those abilities and organization-in-time, focusing on emotional responses after decreased organization abilities. MATERIALS AND METHODS This is a secondary data analysis of a larger sample from three previous studies conducted in one laboratory. Data were collected from 290 adults; 149 with NDD and 141 sex- and age- (20-50 years) matched controls completed the Adolescent/Adult Sensory Profile, Adult Developmental Coordination Disorder, Adults Behavioral Rating Inventory of Executive Functions, Mini Sleep, and Time Organization and Participation questionnaires. Structural equation model (SEM) analysed relationships and variable prediction. RESULTS Significant between-group differences were found for all variables; SEM indicated similar paths in both groups. Sensory processing affected EF-MI and sleep quality and significantly correlated with motor coordination, affecting EF-MI; EF-MI affected organization-in-time. Sleep quality significantly affected organization-in-time, affecting emotional responses. CONCLUSIONS Sensory, motor, EF, and sleep differences were associated with decreased organization-in-time abilities of adults with NDD, adversely affecting their emotional well-being. Early detection of such differences and targeted interventions may improve daily functioning and life quality and prevent negative emotional implications.
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Affiliation(s)
- Sara Rosenblum
- The Laboratory of Complex Human Activity and Participation (CHAP), Department of Occupational Therapy, University of Haifa, Haifa, Israel
| | - Kineret Sharfi
- Department of Occupational Therapy, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Ortal Cohen Elimelech
- The Laboratory of Complex Human Activity and Participation (CHAP), Department of Occupational Therapy, University of Haifa, Haifa, Israel
| | - Sivan Regev
- Department of Occupational Therapy, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Department of Health Policy and Management, Israel Implementation Science and Policy Engagement Centre (IS-PEC), Guilford Glazer Faculty of Business and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Nufar Grinblat
- The Laboratory of Complex Human Activity and Participation (CHAP), Department of Occupational Therapy, University of Haifa, Haifa, Israel
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Krystecka K, Stanczyk M, Choinski M, Szelag E, Szymaszek A. Time to inhibit: P300 amplitude differences in individuals with high and low temporal efficiency. Cereb Cortex 2025; 35:bhae500. [PMID: 39893549 PMCID: PMC11795308 DOI: 10.1093/cercor/bhae500] [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: 08/29/2024] [Revised: 11/26/2024] [Accepted: 12/20/2024] [Indexed: 02/04/2025] Open
Abstract
Temporal processing and inhibitory control are closely interconnected. This study investigated whether individuals of high and low temporal efficiency display different behavioral and neural patterns while performing an electrophysiological Go/No-Go task. Individuals with lower temporal processing had significantly poorer behavioral performance of the task-slower reaction times to Go stimuli, greater number of omissions, and lower stimulus detectability (lower d-prime value)-than the high temporal efficiency group. Additionally, participants with low temporal efficiency had significantly lower P300 response to correct inhibitions (No-Go stimuli) compared to those with high temporal efficiency. Furthermore, the greater amplitude of the difference wave (No-Go vs Go) in the high temporal efficiency group may suggest superior efficacy of response inhibition and attention control processes in comparison to the low temporal efficiency group. These findings highlight significant differences in inhibitory control at both behavioral and neural levels in young adults differing in temporal processing efficiency.
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Affiliation(s)
- Klaudia Krystecka
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland
| | - Magdalena Stanczyk
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland
| | - Mateusz Choinski
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland
- Faculty of Psychology, University of Warsaw, 5/7 Stawki Street, 00-183 Warsaw, Poland
| | - Elzbieta Szelag
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland
| | - Aneta Szymaszek
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093 Warsaw, Poland
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Grinblat N, Rosenblum S. Work participation, sensory processing and sleep quality in adults with attention deficit hyperactive disorder. Work 2022; 73:1235-1244. [DOI: 10.3233/wor-211129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND: Although studies have indicated significant effects of attention-deficit hyperactive disorder (ADHD) on work participation, the mechanism underlying work participation of adults with ADHD is still unclear. OBJECTIVE: Following the World Health Organization’s international classification of functioning, disability, and health concepts, this study compares sensory processing and sleep quality (body functions) with work participation among adults with and without ADHD and examines predictive relationships among adults with ADHD. METHODS: Sixty-nine adults with ADHD and 52 matched controls completed a sociodemographic questionnaire, the Adult/Adolescent Sensory Profile, the Mini Sleep Questionnaire, and the Occupational Questionnaire. RESULTS: The ADHD group had significantly poorer body functions, sensory processing (i.e., low-registration, sensory-sensitivity, and sensation-avoiding patterns), sleep quality, and work performance compared to the control group (p < .001). For adults with ADHD, sensory sensitivity accounted for 10.9%, and sleep quality accounted for 22.0%, of the variance in their work performance. CONCLUSIONS: The deficient body functions of adults with ADHD may affect their work performance and therefore should be considered in further research, as well as in clinical applications.
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Affiliation(s)
- Nufar Grinblat
- Laboratory for Complex Human Activity and Participation (CHAP), Department of Occupational Therapy, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
| | - Sara Rosenblum
- Laboratory for Complex Human Activity and Participation (CHAP), Department of Occupational Therapy, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel
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Differential Efficacy of an Intelligent Tutoring System for University Students: A Case Study with Learning Disabilities. SUSTAINABILITY 2020. [DOI: 10.3390/su12219184] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Computer-Based Learning Environments (CBLEs) have emerged as an almost limitless source of education, challenging not only students but also education providers; teaching and learning in these virtual environments requires greater self-regulation of learning. More research is needed in order to assess how self-regulation of learning strategies can contribute to better performance. This study aims to report how an Intelligent Tutoring System can help students both with and without learning difficulties to self-regulate their learning processes. A total of 119 university students with and without learning difficulties took part in an educational experiment; they spent 90 min learning in a CBLE specifically designed to assess and promote self-regulated learning strategies. Results show that as a consequence of the training, the experimental group applied more self-regulation strategies than the control group, not only as a response to a system prompt but also self-initiated. In addition, there were some differences in improvement of learning processes in students with and without learning difficulties. Our results show that when students with learning difficulties have tools that facilitate applying self-regulated learning strategies, they do so even more than students without learning difficulties.
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Abstract
Prepotent response inhibition and temporal perception abilities were explored in a sample of individuals with cerebral palsy relative to typically developing peers. The extent to which inhibitory control difficulties might affect temporal processing was also investigated. For this purpose, two inhibitory control tasks and two duration estimation tasks were given to the groups of cerebral palsy and typically developing children. Results showed inhibition and temporal perception problems in the group with cerebral palsy. A relationship was found between inhibition and temporal estimation performances, which indicates that inhibitory control contributes, at least partially, to acquisition of the temporal processing ability.
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Affiliation(s)
- Mercedes Cabezas
- BOBATH Foundation.,National Distance Education University (UNED)
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Lukito SD, O'Daly OG, Lythgoe DJ, Whitwell S, Debnam A, Murphy CM, Ashwood K, Stoencheva V, Simonoff E, Rubia K. Neural Correlates of Duration Discrimination in Young Adults with Autism Spectrum Disorder, Attention-Deficit/Hyperactivity Disorder and Their Comorbid Presentation. Front Psychiatry 2018; 9:569. [PMID: 30487760 PMCID: PMC6246684 DOI: 10.3389/fpsyt.2018.00569] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 10/18/2018] [Indexed: 12/12/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) often co-occur and share neurocognitive deficits. One such shared impairment is in duration discrimination. However, no studies using functional magnetic resonance imaging (fMRI) have investigated whether these duration discrimination deficits are underpinned by the same or different underlying neurofunctional processes. In this study, we used fMRI to compare the neurofunctional correlates of duration discrimination between young adult males with ASD (n = 23), ADHD (n = 25), the comorbid condition of ASD+ADHD (n = 24), and typical development (TD, n = 26) using both region of interest (ROI) and whole brain analyses. Both the ROI and the whole-brain analyses showed that the comorbid ASD+ADHD group compared to controls, and for the ROI analysis relative to the other patient groups, had significant under-activation in right inferior frontal cortex (IFG) a key region for duration discrimination that is typically under-activated in boys with ADHD. The findings show that in young adult males with pure ASD, pure ADHD and comorbid ASD+ADHD with no intellectual disability, only the comorbid group demonstrates neurofunctional deficits in a typical duration discrimination region.
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Affiliation(s)
- Steve D. Lukito
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Owen G. O'Daly
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - David J. Lythgoe
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Susannah Whitwell
- The Adult Attention-Deficit Hyperactivity Disorder National Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Amanda Debnam
- The Adult Attention-Deficit Hyperactivity Disorder National Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Clodagh M. Murphy
- The Adult Attention-Deficit Hyperactivity Disorder National Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, United Kingdom
- Behavioural Genetics Clinic, Adult Autism Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, United Kingdom
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Karen Ashwood
- The Adult Attention-Deficit Hyperactivity Disorder National Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, United Kingdom
- Behavioural Genetics Clinic, Adult Autism Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, United Kingdom
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Vladimira Stoencheva
- The Adult Attention-Deficit Hyperactivity Disorder National Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, United Kingdom
- Behavioural Genetics Clinic, Adult Autism Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, United Kingdom
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Emily Simonoff
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
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