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Harris HK, Weissman L, Friedlaender EY, Neumeyer AM, Friedman AJ, Spence SJ, Rotman C, Krauss S, Broder-Fingert S, Weitzman C. Optimizing Care for Autistic Patients in Health Care Settings: A Scoping Review and Call to Action. Acad Pediatr 2024; 24:394-407. [PMID: 37951351 DOI: 10.1016/j.acap.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 10/31/2023] [Accepted: 11/06/2023] [Indexed: 11/13/2023]
Abstract
OBJECTIVE We conducted a scoping review of interventions designed to improve the health care experiences of autistic individuals and assessed the methodology and outcomes used to evaluate them. METHODS Literature from January 2005 to October 2020 was searched using PubMed, Excerpta Medica dataBASE (EMBASE), Cumulated Index to Nursing and Allied Health Literature (CINAHL), PsycINFO as well as hand searching. Studies included described an intervention for autistic individuals in inpatient or outpatient settings and evaluated the intervention using standardized methodology. Results were exported to Covidence software. Ten reviewers completed abstract screening, full text review, and then systematic data extraction of the remaining articles. Two reviewers evaluated each article at each stage, with a third reviewer arbitrating differences. RESULTS A total of 38 studies, including three randomized controlled trials (RCTs) were included. Twenty-six (68%) took place in dental, psychiatric, or procedural settings. Interventions primarily focused on visit preparation and comprehensive care plans or pathways (N = 29, 76%). The most frequent outcome was procedural compliance (N = 15), followed by intervention acceptability (N = 7) and parent satisfaction (N = 6). Two studies involved autistic individuals and caregivers in study design, and no studies assessed racial/ethnic diversity on intervention impact. CONCLUSIONS Well-designed evaluations of interventions to support autistic individuals in pediatric health care settings are limited. There is a need to conduct large multi-site intervention implementation studies.
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Affiliation(s)
- Holly K Harris
- Department of Pediatrics (HK Harris), Baylor College of Medicine and Meyer Center for Developmental Pediatrics, Texas Children's Hospital, Houston, Tex.
| | - Laura Weissman
- Division of Developmental Medicine (L Weissman and C Weitzman), Boston Children's Hospital and Harvard Medical School, Boston, Mass
| | - Eron Y Friedlaender
- Department of Pediatrics (EY Friedlaender), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa
| | - Ann M Neumeyer
- Lurie Center for Autism (AM Neumeyer), Massachusetts General Hospital and Harvard Medical School, Boston, Mass
| | - Alexander J Friedman
- Division of Developmental and Behavioral Pediatrics (AJ Friedman and S Krauss), Boston Medical Center, Boston, Mass
| | - Sarah J Spence
- Division of Neurology (SJ Spence), Boston Children's Hospital and Harvard Medical School, Boston, Mass
| | - Chloe Rotman
- Medical Library (C Rotman), Boston Children's Hospital, Boston, Mass
| | - Shari Krauss
- Division of Developmental and Behavioral Pediatrics (AJ Friedman and S Krauss), Boston Medical Center, Boston, Mass
| | | | - Carol Weitzman
- Division of Developmental Medicine (L Weissman and C Weitzman), Boston Children's Hospital and Harvard Medical School, Boston, Mass
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Elcoro M, Diller JW, Correa JC. Promoting Reciprocal Relations across Subfields of Behavior Analysis via Collaborations. Perspect Behav Sci 2023; 46:431-446. [PMID: 38144552 PMCID: PMC10733255 DOI: 10.1007/s40614-023-00386-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/06/2023] [Indexed: 12/26/2023] Open
Abstract
Several barriers may inhibit the growth of behavior analysis as a more integrated and collaborative field. Two such barriers are siloed environments that reinforce a basic-applied distinction, and a lack of translational research pathways. We describe the perils of silos, and elaborate on potential solutions to increase reciprocal relations among subfields in behavior analysis. We promote a five-tiered system to classify research in behavior analysis, and discuss literature on cultivating effective intra and cross-disciplinary collaborations, including using the framework of metacontingencies to understand collaborations. We also propose quantitative and qualitative measures to examine whether the potential solutions increase intra and interdisciplinary interactions. These measures include bibliometric (e.g., citations across fields), sociometric (e.g., social network analysis), and narrative analysis. We apply some of these measures to publications from 2011-2022 from the Journal of the Experimental Analysis of Behavior and Journal of Applied Behavior Analysis, and argue that behavior analysis overall may benefit from a more collaborative approach. Supplementary Information The online version contains supplementary material available at 10.1007/s40614-023-00386-x.
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Affiliation(s)
- Mirari Elcoro
- Department of Psychology and Philosophy, Framingham State University, 100 State Street, Framingham, MA 01701 USA
| | - James W. Diller
- Department of Psychological Science, Eastern Connecticut State University, Willimantic, CT USA
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Gayle R, Weiss MJ. Autonomic Arousal and Adherence with Dental Appointments. Behav Anal Pract 2023; 16:1191-1210. [PMID: 38076753 PMCID: PMC10700266 DOI: 10.1007/s40617-023-00808-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/18/2023] [Indexed: 05/26/2024] Open
Abstract
Individuals with developmental disabilities sometimes display avoidance responses such as a lack of cooperation, aggression, and vocal refusal when completing health-care routines such as dental cleanings, physicals, and haircuts. This study evaluated the effects of both graduated exposure and a differential reinforcement procedure on the acquisition, maintenance, and generalization of cooperation with dental routines. In addition, autonomic responses were used as an ancillary measure of distress or comfort and were included in the decision tree of practitioner actions. Procedures were completed in a simulated context of a dental examination. The results of this study may lead to more comprehensive treatment plans that include the use of physiological responses in addition to cooperation with procedures as an indicator that an avoidance response has been extinguished. Assessing autonomic arousal may be a useful addition to the procedures of exposing participants to dental visit routines, to improve adaptation, cooperation, and generalization. Supplementary Information The online version contains supplementary material available at 10.1007/s40617-023-00808-x.
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Cowell R, Vostanis A, Langdon PE. Increasing Face Mask Wearing in Autistic Individuals Using Behavior Analytic Interventions: A Systematic Review and Meta-analysis. J Autism Dev Disord 2023:10.1007/s10803-023-06128-x. [PMID: 37751092 DOI: 10.1007/s10803-023-06128-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/29/2023] [Indexed: 09/27/2023]
Abstract
The current review aimed to evaluate the effectiveness of behavior-analytic procedures in increasing face mask-wearing in autistic individuals. This comes following recommended guidance during the COVID-19 pandemic. A systematic review and meta-analysis were completed of peer-reviewed and grey literature. Six databases were searched and seven studies using single-case experimental designs met the eligibility criteria which were then quality appraised. Data were extracted on participant characteristics, study design, independent and dependent variables, fidelity, generalization, maintenance, and social validity outcomes. Both the non-overlap of all pairs and Baseline Corrected TAU were used to estimate effect size. Two studies were rated strong and borderline strong quality and five were rated as adequate or below. All studies showed positive outcomes for mask-wearing, with an average of 0.92 for non-overlap of all pairs and 0.47 for Baseline Corrected Tau effect sizes. The most common and effective procedures for increasing mask-wearing were graded exposure and differential and positive reinforcement. Factors such as mode of delivery, implementer, and setting did not appear to influence study outcomes. Procedures were found to be rated as acceptable by parents and professionals in five of the studies. The existing literature on increasing face mask-wearing in autistic individuals provides promising findings to add to existing literature around increasing tolerance to medical equipment and hygiene practices in autistic populations. However, these findings are based on a small sample size, with six of the studies taking place in the United States with varying study quality.
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Affiliation(s)
- Rebekah Cowell
- Tizard Centre, University of Kent, Cornwallis North East, Canterbury, Kent, CT2 7NF, UK
| | - Athanasios Vostanis
- Tizard Centre, University of Kent, Cornwallis North East, Canterbury, Kent, CT2 7NF, UK.
| | - Peter E Langdon
- Centre for Research in Intellectual and Developmental Disabilities (CIDD), University of Warwick, Coventry, CV4 8UW, UK
- Coventry and Warwickshire Partnership NHS Trust, Coventry, CV6 6NY, UK
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5
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Pollak C, Kügler D, Breteler MMB, Reuter M. Quantifying MR Head Motion in the Rhineland Study - A Robust Method for Population Cohorts. Neuroimage 2023; 275:120176. [PMID: 37209757 DOI: 10.1016/j.neuroimage.2023.120176] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/22/2023] [Accepted: 05/15/2023] [Indexed: 05/22/2023] Open
Abstract
Head motion during MR acquisition reduces image quality and has been shown to bias neuromorphometric analysis. The quantification of head motion, therefore, has both neuroscientific as well as clinical applications, for example, to control for motion in statistical analyses of brain morphology, or as a variable of interest in neurological studies. The accuracy of markerless optical head tracking, however, is largely unexplored. Furthermore, no quantitative analysis of head motion in a general, mostly healthy population cohort exists thus far. In this work, we present a robust registration method for the alignment of depth camera data that sensitively estimates even small head movements of compliant participants. Our method outperforms the vendor-supplied method in three validation experiments: 1. similarity to fMRI motion traces as a low-frequency reference, 2. recovery of the independently acquired breathing signal as a high-frequency reference, and 3. correlation with image-based quality metrics in structural T1-weighted MRI. In addition to the core algorithm, we establish an analysis pipeline that computes average motion scores per time interval or per sequence for inclusion in downstream analyses. We apply the pipeline in the Rhineland Study, a large population cohort study, where we replicate age and body mass index (BMI) as motion correlates and show that head motion significantly increases over the duration of the scan session. We observe weak, yet significant interactions between this within-session increase and age, BMI, and sex. High correlations between fMRI and camera-based motion scores of proceeding sequences further suggest that fMRI motion estimates can be used as a surrogate score in the absence of better measures to control for motion in statistical analyses.
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Affiliation(s)
- Clemens Pollak
- AI in Medical Imaging, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - David Kügler
- AI in Medical Imaging, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Monique M B Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Martin Reuter
- AI in Medical Imaging, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
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Suzuki A, Yamaguchi R, Kim L, Kawahara T, Ishii-Takahashi A. Effectiveness of mock scanners and preparation programs for successful magnetic resonance imaging: a systematic review and meta-analysis. Pediatr Radiol 2023; 53:142-158. [PMID: 35699762 DOI: 10.1007/s00247-022-05394-8] [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: 07/08/2021] [Revised: 03/31/2022] [Accepted: 05/03/2022] [Indexed: 01/24/2023]
Abstract
This review aimed to summarise the effectiveness of preparation programs for magnetic resonance imaging (MRI) in children using mock scanners and the success rates by systematically reviewing the current literature. We initially identified 67 articles using the search terms "MRI," "mock" and "child" on online databases. All studies involving a preparation programme for MRI on children ages 18 years or younger, healthy children and those with medical diagnoses were included. The authors extracted data on study design, participant data, details of the MRI protocol and the total numbers of patients who underwent preparation programs and were scanned while awake, without sedation or general anesthesia. Twenty-three studies were included in this review. Preparation programs included in-home and hospital/research facility components; these consisted of a mock scanner, explanatory booklets, recorded MRI scan sounds and other educational materials. The success rate of MRI after the preparation programme reported in each study ranged from 40% to 100%. When all participants from studies that specifically assessed the efficacy of preparation programs were combined, participants who underwent a preparation programme (n = 196) were more likely to complete a successful MRI than those who did not undergo a preparation programme (n = 263) (odds ratio [OR] = 1.98). Our results suggest that preparation programs may help reduce the risk of children failing MRI scans.
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Affiliation(s)
- Akane Suzuki
- Department of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.,Department of Child Psychiatry, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan
| | - Rio Yamaguchi
- Department of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Leesa Kim
- Department of Child Psychiatry, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan.,Division of Clinical Psychology, Graduate School of Education, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Takuya Kawahara
- Clinical Research Promotion Center, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Ayaka Ishii-Takahashi
- Department of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. .,Department of Child Psychiatry, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan. .,Department of Developmental Disorders, National Center of Neurology and Psychiatry, National Institute of Mental Health, Kodaira, Tokyo, Japan.
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7
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Can this data be saved? Techniques for high motion in resting state scans of first grade children. Dev Cogn Neurosci 2022; 58:101178. [PMID: 36434964 PMCID: PMC9694086 DOI: 10.1016/j.dcn.2022.101178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 10/10/2022] [Accepted: 11/16/2022] [Indexed: 11/19/2022] Open
Abstract
Motion remains a significant technical hurdle in fMRI studies of young children. Our aim was to develop a straightforward and effective method for obtaining and preprocessing resting state data from a high-motion pediatric cohort. This approach combines real-time monitoring of head motion with a preprocessing pipeline that uses volume censoring and concatenation alongside independent component analysis based denoising. We evaluated this method using a sample of 108 first grade children (age 6-8) enrolled in a longitudinal study of math development. Data quality was assessed by analyzing the correlation between participant head motion and two key metrics for resting state data, temporal signal-to-noise and functional connectivity. These correlations should be minimal in the absence of noise-related artifacts. We compared these data quality indicators using several censoring thresholds to determine the necessary degree of censoring. Volume censoring was highly effective at removing motion-corrupted volumes and ICA denoising removed much of the remaining motion artifact. With the censoring threshold set to exclude volumes that exceeded a framewise displacement of 0.3 mm, preprocessed data met rigorous standards for data quality while retaining a large majority of subjects (83 % of participants). Overall, results show it is possible to obtain usable resting-state data despite extreme motion in a group of young, untrained subjects.
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8
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Tang S, Nie L, Liu X, Chen Z, Zhou Y, Pan Z, He L. Application of Quantitative Magnetic Resonance Imaging in the Diagnosis of Autism in Children. Front Med (Lausanne) 2022; 9:818404. [PMID: 35646984 PMCID: PMC9133426 DOI: 10.3389/fmed.2022.818404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
Objective To explore the application of quantitative magnetic resonance imaging in the diagnosis of autism in children. Methods Sixty autistic children aged 2–3 years and 60 age- and sex-matched healthy children participated in the study. All the children were scanned using head MRI conventional sequences, 3D-T1, diffusion kurtosis imaging (DKI), enhanced T2*- weighted magnetic resonance angiography (ESWAN) and 3D-pseudo continuous Arterial Spin-Labeled (3D-pcASL) sequences. The quantitative susceptibility mapping (QSM), cerebral blood flow (CBF), and brain microstructure of each brain area were compared between the groups, and correlations were analyzed. Results The iron content and cerebral blood flow in the frontal lobe, temporal lobe, hippocampus, caudate nucleus, substantia nigra, and red nucleus of the study group were lower than those in the corresponding brain areas of the control group (P < 0.05). The mean kurtosis (MK), radial kurtosis (RK), and axial kurtosis (AK) values of the frontal lobe, temporal lobe, putamen, hippocampus, caudate nucleus, substantia nigra, and red nucleus in the study group were lower than those of the corresponding brain areas in the control group (P < 0.05). The mean diffusivity (MD) and fractional anisotropy of kurtosis (FAK) values of the frontal lobe, temporal lobe and hippocampus in the control group were lower than those in the corresponding brain areas in the study group (P < 0.05). The values of CBF, QSM, and DKI in frontal lobe, temporal lobe and hippocampus could distinguish ASD children (AUC > 0.5, P < 0.05), among which multimodal technology (QSM, CBF, DKI) had the highest AUC (0.917) and DKI had the lowest AUC (0.642). Conclusion Quantitative magnetic resonance imaging (including QSM, 3D-pcASL, and DKI) can detect abnormalities in the iron content, cerebral blood flow and brain microstructure in young autistic children, multimodal technology (QSM, CBF, DKI) could be considered as the first choice of imaging diagnostic technology. Clinical Trial Registration [http://www.chictr.org.cn/searchprojen.aspx], identifier [ChiCTR2000029699].
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Affiliation(s)
- Shilong Tang
- Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Lisha Nie
- GE Healthcare, MR Research China, Beijing, China
| | - Xianfan Liu
- Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Zhuo Chen
- Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Yu Zhou
- Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Zhengxia Pan
- Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
- *Correspondence: Zhengxia Pan,
| | - Ling He
- Department of Radiology, Children’s Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
- Ling He,
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Stogiannos N, Carlier S, Harvey-Lloyd JM, Brammer A, Nugent B, Cleaver K, McNulty JP, dos Reis CS, Malamateniou C. A systematic review of person-centred adjustments to facilitate magnetic resonance imaging for autistic patients without the use of sedation or anaesthesia. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2022; 26:782-797. [PMID: 34961364 PMCID: PMC9008560 DOI: 10.1177/13623613211065542] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
LAY ABSTRACT Autistic patients often undergo magnetic resonance imaging examinations. Within this environment, it is usual to feel anxious and overwhelmed by noises, lights or other people. The narrow scanners, the loud noises and the long examination time can easily cause panic attacks. This review aims to identify any adaptations for autistic individuals to have a magnetic resonance imaging scan without sedation or anaesthesia. Out of 4442 articles screened, 53 more relevant were evaluated and 21 were finally included in this study. Customising communication, different techniques to improve the environment, using technology for familiarisation and distraction have been used in previous studies. The results of this study can be used to make suggestions on how to improve magnetic resonance imaging practice and the autistic patient experience. They can also be used to create training for the healthcare professionals using the magnetic resonance imaging scanners.
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Affiliation(s)
| | - Sarah Carlier
- University of Applied Sciences and Arts Western Switzerland (HES-SO), Switzerland
- University of Lausanne, Switzerland
| | | | | | - Barbara Nugent
- City, University of London, UK
- MRI Safety Matters® Organisation, UK
- NHS National Education for Scotland, UK
| | | | | | - Cláudia Sá dos Reis
- University of Applied Sciences and Arts Western Switzerland (HES-SO), Switzerland
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Tang S, Liu X, Ran Q, Nie L, Wu L, Pan Z, He L. Application of Three-Dimensional Pseudocontinuous Arterial Spin Labeling Perfusion Imaging in the Brains of Children With Autism. Front Neurol 2022; 13:851430. [PMID: 35280268 PMCID: PMC8905523 DOI: 10.3389/fneur.2022.851430] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 01/24/2022] [Indexed: 11/15/2022] Open
Abstract
Objective To explore the application of three-dimensional pseudocontinuous arterial spin labeling (3D-PCASL) perfusion imaging in the brains of children with autism and to understand the characteristics of cerebral blood perfusion in children with autism. Methods A total of 320 children with autism (160 men and 160 women) aged between 2 and 18 years and 320 age- and sex-matched healthy children participated in the study. All children were scanned by 3.0 T magnetic resonance axial T1 fluid-attenuated inversion recovery (FLAIR), T2 FLAIR, 3D-T1, and 3D-PCASL sequences. After postprocessing, cerebral blood flow (CBF) values in each brain region of children with autism and healthy children at the same age were compared and analyzed. Furthermore, CBF characteristics in each brain region of autistic children at various ages were determined. Results The CBF values of the frontal lobe, hippocampus, temporal lobe, and caudate nucleus of children with autism are lower than those of healthy children (P < 0.05). Additionally, as the ages of children with autism increase, the number of brain regions with decreased CBF values gradually increases. A receiver operating characteristic (ROC) analysis results show that the CBF values of the frontal lobe, hippocampus, temporal lobe, and caudate nucleus can distinguish children with autism [area under the ROC curve (AUC) > 0.05, P < 0.05]. Conclusion The 3D-PCASL shows lower brain CBF values in children with autism. Clinical Trial Registration www.ClinicalTrials.gov, identifier: ChiCTR2000034356.
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Affiliation(s)
- Shilong Tang
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Xianfan Liu
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Qiying Ran
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Lisha Nie
- GE Healthcare, MR Research China, Beijing, China
| | - Lan Wu
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Zhengxia Pan
- Department of Cardiovascular and Thoracic Surgery, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Ling He
- Department of Radiology Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
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11
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Jennings AM, Mery JN, Quiroz LS, Vladescu JC. A Scoping Review of the Healthcare and Hygiene Literature for Individuals with Intellectual and Developmental Disabilities. ADVANCES IN NEURODEVELOPMENTAL DISORDERS 2022; 6:237-252. [PMID: 35308895 PMCID: PMC8918892 DOI: 10.1007/s41252-022-00249-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/26/2022] [Indexed: 06/14/2023]
Abstract
OBJECTIVES Previous reviews highlight the similarities in teaching healthcare and hygiene routines to individuals with and without intellectual and developmental disabilities. Additionally, similar interventions are used when interfering behaviors occur. Although these routines are topographically distinct, there are enough similarities to suggest effective procedures for one routine may be used to inform another. This scooping review aims to identify effective teaching and intervention procedures for healthcare and hygiene routines specifically for individuals with intellectual and developmental disabilities. We also evaluated the extent to which functional analyses were conducted; a dimension not included in previous reviews. METHODS Eligible articles targeted compliance or tolerance within the context of a defined healthcare or hygiene routine as a dependent variable and used an experimental design with a demonstration of experimental control. Articles were identified through PsycINFO, PubMed, and Academic Search Premier databases. Additionally, a hand search of five related journals was conducted. Data were collected on dependent variables, functional analyses, baseline contingencies, teaching procedures, and additional experimental components. RESULTS A total of 52 articles met inclusion criteria. Most experiments produced positive outcomes. The findings show all experiments involved a treatment package with multiple components. The most common teaching procedures were graduated exposure and DRA. A lack of functional analyses and social validity was noted. CONCLUSIONS Component analyses are needed to identify the most effective and efficient procedures. Pyramidal training to teach medical professionals how to provide preventative pyramidal training should be explored. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s41252-022-00249-7.
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Affiliation(s)
- Adrienne M. Jennings
- Department of Applied Behavior Analysis, Caldwell University, 120 Bloomfield Avenue, Caldwell, NJ 07006 USA
| | | | | | - Jason C. Vladescu
- Department of Applied Behavior Analysis, Caldwell University, 120 Bloomfield Avenue, Caldwell, NJ 07006 USA
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12
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Virues-Ortega J, McKay NS, McCormack JC, Lopez N, Liu R, Kirk I. A callosal biomarker of behavioral intervention outcomes for autism spectrum disorder? A case-control feasibility study with diffusion tensor imaging. PLoS One 2022; 17:e0262563. [PMID: 35113904 PMCID: PMC8812884 DOI: 10.1371/journal.pone.0262563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 12/30/2021] [Indexed: 11/18/2022] Open
Abstract
Tentative results from feasibility analyses are critical for planning future randomized control trials (RCTs) in the emerging field of neural biomarkers of behavioral interventions. The current feasibility study used MRI-derived diffusion imaging data to investigate whether it would be possible to identify neural biomarkers of a behavioral intervention among people diagnosed with autism spectrum disorder (ASD). The corpus callosum has been linked to cognitive processing and callosal abnormalities have been previously found in people diagnosed with ASD. We used a case-control design to evaluate the association between the type of intervention people diagnosed with ASD had previously received and their current white matter integrity in the corpus callosum. Twenty-six children and adolescents with ASD, with and without a history of parent-managed behavioral intervention, underwent an MRI scan with a diffusion data acquisition sequence. We conducted tract-based spatial statistics and a region of interest analysis. The fractional anisotropy values (believed to indicate white matter integrity) in the posterior corpus callosum was significantly different across cases (exposed to parent-managed behavioral intervention) and controls (not exposed to parent-managed behavioral intervention). The effect was modulated by the intensity of the behavioral intervention according to a dose-response relationship. The current feasibility case-control study provides the basis for estimating the statistical power required for future RCTs in this field. In addition, the study demonstrated the effectiveness of purposely-developed motion control protocols and helped to identify regions of interest candidates. Potential clinical applications of diffusion tensor imaging in the evaluation of treatment outcomes in ASD are discussed.
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Affiliation(s)
- Javier Virues-Ortega
- School of Psychology, The University of Auckland, Auckland, New Zealand
- Facultad de Psychology, Universidad Autónoma de Madrid, Madrid, Spain
- * E-mail:
| | - Nicole S. McKay
- Department of Neurology, Washington University, St Louis, Missouri, United States of America
| | - Jessica C. McCormack
- National Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand
| | - Nerea Lopez
- Facultad de Psicología, Universidad Nacional de Educación a Distancia, Madrid, Spain
| | - Rosalie Liu
- School of Psychology, The University of Auckland, Auckland, New Zealand
| | - Ian Kirk
- School of Psychology, The University of Auckland, Auckland, New Zealand
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13
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Halbur M, Kodak T, McKee M, Reidy J, Preas E, Carroll R. Decreasing face touching for children with autism spectrum disorder. BEHAVIORAL INTERVENTIONS 2021. [DOI: 10.1002/bin.1854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Mary Halbur
- Integrated Center for Autism Spectrum Disorders Munroe‐Meyer Institute, University of Nebraska Medical Center Omaha Nebraska USA
| | - Tiffany Kodak
- Department of Psychology Marquette University Milwaukee Wisconsin USA
| | - Marisa McKee
- Department of Psychology Marquette University Milwaukee Wisconsin USA
| | - Jessi Reidy
- Department of Psychology Marquette University Milwaukee Wisconsin USA
| | - Elizabeth Preas
- Integrated Center for Autism Spectrum Disorders Munroe‐Meyer Institute, University of Nebraska Medical Center Omaha Nebraska USA
| | - Regina Carroll
- Integrated Center for Autism Spectrum Disorders Munroe‐Meyer Institute, University of Nebraska Medical Center Omaha Nebraska USA
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14
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Graber A, Kreusel A. Why Intellectual Disability Poses a Challenge to the Received View of Capacity and a Potential Response. THE JOURNAL OF MEDICINE AND PHILOSOPHY 2021; 47:117-136. [PMID: 34922380 DOI: 10.1093/jmp/jhab035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
While copious quantities of ink have been spilled on the topic of autonomy in the context of health care, little has been written about autonomy in relation to intellectual disability. After presenting the received account of capacity, we argue that it cannot account for the moral permissibility of limiting an individual with intellectual disability's access to diet soda. In cases of preventative medicine and intellectual disability, the philosophical motivation for the received account of capacity is incompatible with the actions it recommends. We consider and reject several potential solutions; then, drawing on applied behavior analysis and the phenomenon of automatic reinforcement, we propose our own solution. The article concludes by considering the broader implications of our discussion.
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Affiliation(s)
- Abraham Graber
- University of Texas at San Antonio, San Antonio, Texas, USA
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15
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Simhal AK, Filho JOA, Segura P, Cloud J, Petkova E, Gallagher R, Castellanos FX, Colcombe S, Milham MP, Di Martino A. Predicting multiscan MRI outcomes in children with neurodevelopmental conditions following MRI simulator training. Dev Cogn Neurosci 2021; 52:101009. [PMID: 34649041 PMCID: PMC8517836 DOI: 10.1016/j.dcn.2021.101009] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 08/16/2021] [Accepted: 08/25/2021] [Indexed: 11/20/2022] Open
Abstract
Pediatric brain imaging holds significant promise for understanding neurodevelopment. However, the requirement to remain still inside a noisy, enclosed scanner remains a challenge. Verbal or visual descriptions of the process, and/or practice in MRI simulators are the norm in preparing children. Yet, the factors predictive of successfully obtaining neuroimaging data remain unclear. We examined data from 250 children (6–12 years, 197 males) with autism and/or attention-deficit/hyperactivity disorder. Children completed systematic MRI simulator training aimed to habituate to the scanner environment and minimize head motion. An MRI session comprised multiple structural, resting-state, task and diffusion scans. Of the 201 children passing simulator training and attempting scanning, nearly all (94%) successfully completed the first structural scan in the sequence, and 88% also completed the following functional scan. The number of successful scans decreased as the sequence progressed. Multivariate analyses revealed that age was the strongest predictor of successful scans in the session, with younger children having lower success rates. After age, sensorimotor atypicalities contributed most to prediction. Results provide insights on factors to consider in designing pediatric brain imaging protocols.
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Affiliation(s)
| | | | | | - Jessica Cloud
- Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Eva Petkova
- Department of Population Health, Hassenfeld Children's Hospital at NYU Langone Health, New York, NY, USA; Department of Child and Adolescent Psychiatry, Hassenfeld Children's Hospital at NYU Langone Health, New York, NY, USA
| | - Richard Gallagher
- Department of Child and Adolescent Psychiatry, Hassenfeld Children's Hospital at NYU Langone Health, New York, NY, USA
| | - F Xavier Castellanos
- Department of Child and Adolescent Psychiatry, Hassenfeld Children's Hospital at NYU Langone Health, New York, NY, USA; Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Stan Colcombe
- Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Michael P Milham
- Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Center for the Developing Brain, Child Mind Institute, New York, NY, USA
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16
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A Systematic Review of Interventions to Improve Healthcare Experiences and Access in Autism. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2021. [DOI: 10.1007/s40489-021-00279-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
AbstractAutistic individuals report barriers to accessing and receiving healthcare, and experience increased morbidity and mortality. This systematic review synthesizes 31 research studies evaluating interventions implemented to improve the healthcare experiences and/or access of autistic persons. Interventions were most commonly patient-focused (58.1%), focused on supporting the autistic individual to engage with, tolerate, or anticipate medical procedures, care, or settings. Fewer studies were provider-focused (48.4%) or organization-focused (6.5%). Interventions were typically evaluated using measures of reactions (45.2%) or behavior (48.4%), and outcomes were predominantly positive (80.6%). Further research is imperative and should look to how providers and organizations must change. Future research must be inclusive of the autistic community, must measure what matters, and must offer complete detail on interventions implemented.
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17
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Ellement JK, Virues-Ortega J, Boris A. Electromyography of diurnal bruxism during assessment and treatment. J Appl Behav Anal 2021; 54:1652-1666. [PMID: 34260743 DOI: 10.1002/jaba.864] [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: 09/21/2020] [Revised: 06/03/2021] [Accepted: 06/04/2021] [Indexed: 11/11/2022]
Abstract
Diurnal bruxism among individuals with intellectual disabilities is often measured on the basis of its auditory products, thereby precluding the contingent presentation of stimuli during silent bruxism events. Electromyography (EMG) offers a technological solution to the identification of all bruxism events. EMG has not been previously evaluated in nonvocal clients with intellectual disabilities in the context of functional analysis and treatment. In the current series of analyses, we suggest a set of methods to implement EMG technology with this population. In Analysis 1, we propose a strategy for systematically identifying bruxism events. In Analysis 2 we evaluate an EMG staff-training package with naïve interventionists without past experience with EMG technology. Finally, Analysis 3 presents a practical example of this method during the functional analysis and treatment of a client with frequent diurnal bruxism.
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18
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Yamamoto S, Isawa S. The Efficacy of Performance Feedback on the Social Niceties of Adolescents With Autism Spectrum Disorder. Behav Anal Pract 2021; 15:466-474. [DOI: 10.1007/s40617-021-00593-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/03/2021] [Indexed: 10/20/2022] Open
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19
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DeMayo MM, Pokorski I, Song YJC, Thapa R, Patel S, Ambarchi Z, Soligo D, Sadeli I, Thomas EE, Hickie IB, Guastella AJ. The Feasibility of Magnetic Resonance Imaging in a Non-Selective Comprehensive Clinical Trial in Pediatric Autism Spectrum Disorder. J Autism Dev Disord 2021; 52:1211-1222. [PMID: 33903957 DOI: 10.1007/s10803-021-05028-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/14/2021] [Indexed: 12/16/2022]
Abstract
There is an increasing interest in using magnetic resonance imaging (MRI) as a tool for precision medicine in autism spectrum disorder (ASD). This study investigated the feasibility of MRI scanning in a large comprehensive, inclusive and test heavy clinical trial for children (aged 3-12 years) with ASD, without functioning constraints for participation. Of the 71 participants enrolled who consented to the MRI, 24 participants (38%) successfully completed an MRI scan at baseline along with other assessments. This scanning followed a familiarization procedure at two preceding visits. At post-treatment, 21 participants successfully completed the MRI scan. This study highlights the challenge of completing MRI assessments in ASD populations when conducted as one of a number of tests in a clinical trial.
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Affiliation(s)
- Marilena M DeMayo
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Izabella Pokorski
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Yun J C Song
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Rinku Thapa
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Shrujna Patel
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Zahava Ambarchi
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | | | - Indra Sadeli
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Emma E Thomas
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Ian B Hickie
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia.,Faculty of Medicine and Health, Brain and Mind Centre, Central Clinical School, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia
| | - Adam J Guastella
- Faculty of Medicine and Health, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Autism Clinic for Translational Research, University of Sydney, 100 Mallett Street, Camperdown, NSW, 2050, Australia.
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20
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Halbur M, Kodak T, McKee M, Carroll R, Preas E, Reidy J, Cordeiro MC. Tolerance of face coverings for children with autism spectrum disorder. J Appl Behav Anal 2021; 54:600-617. [PMID: 33772777 PMCID: PMC8250735 DOI: 10.1002/jaba.833] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 03/13/2021] [Accepted: 03/13/2021] [Indexed: 11/06/2022]
Abstract
Healthcare professionals and government officials have advised the use of personal protective equipment, such as face masks and face shields, to assist with limiting the spread of the SARS‐CoV‐2 (COVID‐19). Due to the prevalence of challenging behavior associated with other medical routines, the present study evaluated a treatment package composed of graduated exposure, prompts, reinforcement, and escape extinction on tolerance of wearing a face covering for up to 5 min for 12 children with ASD in a systematic replication of Cox et al. (2017) and Sivaraman et al. (2020). We also extended previous research by measuring generalization of face covering type (i.e., face shield) and the efficacy of a treatment extension for tolerating a face covering for up to 15 min during the participants' trial‐based instruction and play periods.
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Affiliation(s)
- Mary Halbur
- University of Nebraska Medical Center's Munroe-Meyer Institute
| | | | | | - Regina Carroll
- University of Nebraska Medical Center's Munroe-Meyer Institute
| | - Elizabeth Preas
- University of Nebraska Medical Center's Munroe-Meyer Institute
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21
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Lillie MA, Harman MJ, Hurd M, Smalley MR. Increasing passive compliance to wearing a facemask in children with autism spectrum disorder. J Appl Behav Anal 2021; 54:582-599. [PMID: 33740281 PMCID: PMC8251131 DOI: 10.1002/jaba.829] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/31/2020] [Accepted: 12/31/2020] [Indexed: 01/14/2023]
Abstract
The current study taught 6 children with autism spectrum disorder (ASD) to increase passive compliance of wearing a facemask across sequentially increasing durations of time. A changing-criterion design embedded within a nonconcurrent multiple baseline design was used to evaluate the effectiveness of a resetting differential reinforcement of other behavior (DRO) without escape extinction procedure on passive compliance. Terminal probe sessions determined DRO fading intervals. Results showed that 2 participants acquired mastery level passive compliance (30 min) without fading during the initial baseline sessions. The remaining 4 participants acquired mastery level passive compliance following fading intervals within the DRO intervention. Participants' passive compliance generalized across 2 novel settings. This study replicates previous studies and extends empirical support for the use of DRO without escape extinction interventions for increasing passive compliance with medical devices in children with ASD.
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22
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Schroeder KA, Witts BN, Traub MR. Opportunities for ABA intervention in Phelan-McDermid syndrome. INTERNATIONAL JOURNAL OF DEVELOPMENTAL DISABILITIES 2021; 68:984-989. [PMID: 36816984 PMCID: PMC9936992 DOI: 10.1080/20473869.2021.1895698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 02/18/2021] [Accepted: 02/18/2021] [Indexed: 06/18/2023]
Abstract
Phelan-McDermid syndrome (PMS), also called 22q13.3 deletion syndrome, is a rare genetic disorder affecting at least 2,000 people worldwide (Phelan-McDermid Syndrome Foundation, 2019, How rare is Phelan-McDermid?). PMS has many distinguishing characteristics and many medical specialties have been recommended to treat the clinical features. While many therapies, including behavioral therapy, have been speculated to be beneficial in treating PMS, there is little known regarding their effectiveness [Costales, J. L. and Kolevzon, A. 2015. Phelan-McDermid syndrome and SHANK3: Implications for treatment. Neurotherapeutics: The Journal of the American Society for Experimental Neurotherapeutics, 12, 620-630.]. Behavior analysis has the capability to help in many areas of treatment for PMS either directly through, for example, behavior treatment to address aggressive behavior, or through collaborating with other specialties treating PMS by combining, for example, behavioral principles in the alleviation of medical issues such as constipation. Currently, there is a role for the behavior analyst to expand our field and identify effective treatments for those with PMS while we wait for a cure. In this paper, we discuss how medical considerations may affect behavior interventions and make recommendations for the behavior analyst working with PMS.
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Affiliation(s)
- Kate A. Schroeder
- Community Psychology, Counseling, and Family, St. Cloud State University, St. Cloud, Minnesota, USA
| | - Benjamin N. Witts
- Community Psychology, Counseling, and Family, St. Cloud State University, St. Cloud, Minnesota, USA
| | - Michele R. Traub
- Community Psychology, Counseling, and Family, St. Cloud State University, St. Cloud, Minnesota, USA
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23
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Vecchiato K, Egloff A, Carney O, Siddiqui A, Hughes E, Dillon L, Colford K, Green E, Texeira RPAG, Price AN, Ferrazzi G, Hajnal JV, Carmichael DW, Cordero-Grande L, O'Muircheartaigh J. Evaluation of DISORDER: Retrospective Image Motion Correction for Volumetric Brain MRI in a Pediatric Setting. AJNR Am J Neuroradiol 2021; 42:774-781. [PMID: 33602745 DOI: 10.3174/ajnr.a7001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 11/02/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND PURPOSE Head motion causes image degradation in brain MR imaging examinations, negatively impacting image quality, especially in pediatric populations. Here, we used a retrospective motion correction technique in children and assessed image quality improvement for 3D MR imaging acquisitions. MATERIALS AND METHODS We prospectively acquired brain MR imaging at 3T using 3D sequences, T1-weighted MPRAGE, T2-weighted TSE, and FLAIR in 32 unsedated children, including 7 with epilepsy (age range, 2-18 years). We implemented a novel motion correction technique through a modification of k-space data acquisition: Distributed and Incoherent Sample Orders for Reconstruction Deblurring by using Encoding Redundancy (DISORDER). For each participant and technique, we obtained 3 reconstructions as acquired (Aq), after DISORDER motion correction (Di), and Di with additional outlier rejection (DiOut). We analyzed 288 images quantitatively, measuring 2 objective no-reference image quality metrics: gradient entropy (GE) and MPRAGE white matter (WM) homogeneity. As a qualitative metric, we presented blinded and randomized images to 2 expert neuroradiologists who scored them for clinical readability. RESULTS Both image quality metrics improved after motion correction for all modalities, and improvement correlated with the amount of intrascan motion. Neuroradiologists also considered the motion corrected images as of higher quality (Wilcoxon z = -3.164 for MPRAGE; z = -2.066 for TSE; z = -2.645 for FLAIR; all P < .05). CONCLUSIONS Retrospective image motion correction with DISORDER increased image quality both from an objective and qualitative perspective. In 75% of sessions, at least 1 sequence was improved by this approach, indicating the benefit of this technique in unsedated children for both clinical and research environments.
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Affiliation(s)
- K Vecchiato
- From the Department for Forensic and Neurodevelopmental Sciences (K.V., J.O.), Institute of Psychiatry, Psychology and Neuroscience .,Centre for the Developing Brain (K.V., A.E., O.C., E.H., L.D., K.C., E.G., R.P.A.G.T., A.N.P., J.V.H., L.C.-G., J.O.), School of Biomedical Engineering and Imaging Sciences
| | - A Egloff
- Centre for the Developing Brain (K.V., A.E., O.C., E.H., L.D., K.C., E.G., R.P.A.G.T., A.N.P., J.V.H., L.C.-G., J.O.), School of Biomedical Engineering and Imaging Sciences
| | - O Carney
- Centre for the Developing Brain (K.V., A.E., O.C., E.H., L.D., K.C., E.G., R.P.A.G.T., A.N.P., J.V.H., L.C.-G., J.O.), School of Biomedical Engineering and Imaging Sciences.,Department of Radiology (O.C.), Great Ormond Street Hospital for Children, NHS Foundation Trust London, United Kingdom
| | - A Siddiqui
- Department of Radiology (A.S.), Guy's and Saint Thomas' Hospitals NHS Trust, London, United Kingdom
| | - E Hughes
- Centre for the Developing Brain (K.V., A.E., O.C., E.H., L.D., K.C., E.G., R.P.A.G.T., A.N.P., J.V.H., L.C.-G., J.O.), School of Biomedical Engineering and Imaging Sciences
| | - L Dillon
- Centre for the Developing Brain (K.V., A.E., O.C., E.H., L.D., K.C., E.G., R.P.A.G.T., A.N.P., J.V.H., L.C.-G., J.O.), School of Biomedical Engineering and Imaging Sciences
| | - K Colford
- Centre for the Developing Brain (K.V., A.E., O.C., E.H., L.D., K.C., E.G., R.P.A.G.T., A.N.P., J.V.H., L.C.-G., J.O.), School of Biomedical Engineering and Imaging Sciences
| | - E Green
- Centre for the Developing Brain (K.V., A.E., O.C., E.H., L.D., K.C., E.G., R.P.A.G.T., A.N.P., J.V.H., L.C.-G., J.O.), School of Biomedical Engineering and Imaging Sciences
| | - R P A G Texeira
- Centre for the Developing Brain (K.V., A.E., O.C., E.H., L.D., K.C., E.G., R.P.A.G.T., A.N.P., J.V.H., L.C.-G., J.O.), School of Biomedical Engineering and Imaging Sciences
| | - A N Price
- Centre for the Developing Brain (K.V., A.E., O.C., E.H., L.D., K.C., E.G., R.P.A.G.T., A.N.P., J.V.H., L.C.-G., J.O.), School of Biomedical Engineering and Imaging Sciences
| | - G Ferrazzi
- IRCCS San Camillo Hospital (G.F.), Venice, Italy
| | - J V Hajnal
- Centre for the Developing Brain (K.V., A.E., O.C., E.H., L.D., K.C., E.G., R.P.A.G.T., A.N.P., J.V.H., L.C.-G., J.O.), School of Biomedical Engineering and Imaging Sciences
| | - D W Carmichael
- EPSRC/Wellcome Centre for Medical Engineering, Biomedical Engineering (D.W.C.)
| | - L Cordero-Grande
- Centre for the Developing Brain (K.V., A.E., O.C., E.H., L.D., K.C., E.G., R.P.A.G.T., A.N.P., J.V.H., L.C.-G., J.O.), School of Biomedical Engineering and Imaging Sciences .,Biomedical Image Technologies, ETSI Telecomunicación (L.C.-G.), Universidad Politécnica de Madrid & CIBER-BBN, Madrid, Spain
| | - J O'Muircheartaigh
- From the Department for Forensic and Neurodevelopmental Sciences (K.V., J.O.), Institute of Psychiatry, Psychology and Neuroscience.,Centre for the Developing Brain (K.V., A.E., O.C., E.H., L.D., K.C., E.G., R.P.A.G.T., A.N.P., J.V.H., L.C.-G., J.O.), School of Biomedical Engineering and Imaging Sciences.,MRC Centre for Neurodevelopmental Disorders (J.O.), King's College London, London, United Kingdom
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24
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Ayub R, Sun KL, Flores RE, Lam VT, Jo B, Saggar M, Fung LK. Thalamocortical connectivity is associated with autism symptoms in high-functioning adults with autism and typically developing adults. Transl Psychiatry 2021; 11:93. [PMID: 33536431 PMCID: PMC7859407 DOI: 10.1038/s41398-021-01221-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 01/07/2021] [Accepted: 01/15/2021] [Indexed: 01/30/2023] Open
Abstract
Alterations in sensorimotor functions are common in individuals with autism spectrum disorder (ASD). Such aberrations suggest the involvement of the thalamus due to its key role in modulating sensorimotor signaling in the cortex. Although previous research has linked atypical thalamocortical connectivity with ASD, investigations of this association in high-functioning adults with autism spectrum disorder (HFASD) are lacking. Here, for the first time, we investigated the resting-state functional connectivity of the thalamus, medial prefrontal, posterior cingulate, and left dorsolateral prefrontal cortices and its association with symptom severity in two matched cohorts of HFASD. The principal cohort consisted of 23 HFASD (mean[SD] 27.1[8.9] years, 39.1% female) and 20 age- and sex-matched typically developing controls (25.1[7.2] years, 30.0% female). The secondary cohort was a subset of the ABIDE database consisting of 58 HFASD (25.4[7.8] years, 37.9% female) and 51 typically developing controls (24.4[6.7] years, 39.2% female). Using seed-based connectivity analysis, between-group differences were revealed as hyperconnectivity in HFASD in the principal cohort between the right thalamus and bilateral precentral/postcentral gyri and between the right thalamus and the right superior parietal lobule. The former was associated with autism-spectrum quotient in a sex-specific manner, and was further validated in the secondary ABIDE cohort. Altogether, we present converging evidence for thalamocortical hyperconnectivity in HFASD that is associated with symptom severity. Our results fill an important knowledge gap regarding atypical thalamocortical connectivity in HFASD, previously only reported in younger cohorts.
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Affiliation(s)
- Rafi Ayub
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Kevin L Sun
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- School of Medicine, Stanford University, Stanford, CA, USA
| | - Ryan E Flores
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Vicky T Lam
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Booil Jo
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Manish Saggar
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Lawrence K Fung
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
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25
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Sivaraman M, Virues-Ortega J, Roeyers H. Telehealth mask wearing training for children with autism during the COVID-19 pandemic. J Appl Behav Anal 2020; 54:70-86. [PMID: 33241588 PMCID: PMC7753388 DOI: 10.1002/jaba.802] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 11/16/2020] [Accepted: 11/16/2020] [Indexed: 12/25/2022]
Abstract
SARS‐CoV‐2 is the virus causing COVID‐19 and is spread through close person‐to‐person contact. The use of face masks has been described as an important strategy to slow its transmission. We evaluated the effects of coaching caregivers via telehealth technologies to teach face mask wearing to children with autism spectrum disorder. Six participants with a history of challenging behavior associated with mask wearing were recruited from different parts of the world, and trained using graduated exposure, shaping, and contingent reinforcement. By the end of the intervention, all participants wore a face mask for a period of 10 min without exhibiting challenging behavior. The skills generalized to a novel mask or a community setting. Mask wearing did not affect the percentage of oxyhemoglobin saturation of participants, and caregivers found the intervention useful. The findings support previous tolerance training treatment evaluations in children with developmental disorders exhibiting resistance to healthcare routines.
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Affiliation(s)
- Maithri Sivaraman
- Department of Experimental, Clinical and Health Psychology, Ghent University, Belgium
| | - Javier Virues-Ortega
- Faculty of Psychology, Universidad Autónoma de Madrid, Spain.,School of Science, The University of Auckland, New Zealand
| | - Herbert Roeyers
- Department of Experimental, Clinical and Health Psychology, Ghent University, Belgium
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Brašić JR, Nandi A, Russell DS, Jennings D, Barret O, Mathur A, Slifer K, Sedlak T, Martin SD, Brinson Z, Vyas P, Seibyl JP, Berry-Kravis EM, Wong DF, Budimirovic DB. Reduced Expression of Cerebral Metabotropic Glutamate Receptor Subtype 5 in Men with Fragile X Syndrome. Brain Sci 2020; 10:E899. [PMID: 33255214 PMCID: PMC7760509 DOI: 10.3390/brainsci10120899] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 11/07/2020] [Accepted: 11/14/2020] [Indexed: 12/28/2022] Open
Abstract
Glutamatergic receptor expression is mostly unknown in adults with fragile X syndrome (FXS). Favorable behavioral effects of negative allosteric modulators (NAMs) of the metabotropic glutamate receptor subtype 5 (mGluR5) in fmr1 knockout (KO) mouse models have not been confirmed in humans with FXS. Measurement of cerebral mGluR5 expression in humans with FXS exposed to NAMs might help in that effort. We used positron emission tomography (PET) to measure the mGluR5 density as a proxy of mGluR5 expression in cortical and subcortical brain regions to confirm target engagement of NAMs for mGluR5s. The density and the distribution of mGluR5 were measured in two independent samples of men with FXS (N = 9) and typical development (TD) (N = 8). We showed the feasibility of this complex study including MRI and PET, meaning that this challenging protocol can be accomplished in men with FXS with an adequate preparation. Analysis of variance of estimated mGluR5 expression showed that mGluR5 expression was significantly reduced in cortical and subcortical regions of men with FXS in contrast to age-matched men with TD.
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Affiliation(s)
- James R. Brašić
- Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.N.); (A.M.); (T.S.); (S.D.M.); (Z.B.); (P.V.); (D.F.W.)
| | - Ayon Nandi
- Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.N.); (A.M.); (T.S.); (S.D.M.); (Z.B.); (P.V.); (D.F.W.)
| | - David S. Russell
- Clinical Research, Institute for Neurodegenerative Disorders, New Haven, CT 06510, USA; (D.S.R.); (D.J.); (O.B.); (J.P.S.)
- Research Clinic, Invicro LLC, New Haven, CT 06510, USA
| | - Danna Jennings
- Clinical Research, Institute for Neurodegenerative Disorders, New Haven, CT 06510, USA; (D.S.R.); (D.J.); (O.B.); (J.P.S.)
- Research Clinic, Invicro LLC, New Haven, CT 06510, USA
- Denali Therapeutics, Inc., South San Francisco, CA 94080, USA
| | - Olivier Barret
- Clinical Research, Institute for Neurodegenerative Disorders, New Haven, CT 06510, USA; (D.S.R.); (D.J.); (O.B.); (J.P.S.)
| | - Anil Mathur
- Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.N.); (A.M.); (T.S.); (S.D.M.); (Z.B.); (P.V.); (D.F.W.)
| | - Keith Slifer
- Department of Psychiatry and Behavioral Sciences-Child Psychiatry, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA;
- Department of Behavioral Psychology, Kennedy Krieger Institute, Baltimore, MD 21205, USA
| | - Thomas Sedlak
- Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.N.); (A.M.); (T.S.); (S.D.M.); (Z.B.); (P.V.); (D.F.W.)
- Department of Psychiatry and Behavioral Sciences-General Psychiatry, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Samuel D. Martin
- Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.N.); (A.M.); (T.S.); (S.D.M.); (Z.B.); (P.V.); (D.F.W.)
- Department of Neuroscience, Zanvyl Krieger School of Arts and Sciences, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Zabecca Brinson
- Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.N.); (A.M.); (T.S.); (S.D.M.); (Z.B.); (P.V.); (D.F.W.)
| | - Pankhuri Vyas
- Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.N.); (A.M.); (T.S.); (S.D.M.); (Z.B.); (P.V.); (D.F.W.)
| | - John P. Seibyl
- Clinical Research, Institute for Neurodegenerative Disorders, New Haven, CT 06510, USA; (D.S.R.); (D.J.); (O.B.); (J.P.S.)
- Research Clinic, Invicro LLC, New Haven, CT 06510, USA
| | - Elizabeth M. Berry-Kravis
- Departments of Pediatrics, Neurological Sciences, and Biochemistry, Rush University Medical Center, Chicago, IL 60612, USA;
| | - Dean F. Wong
- Section of High Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (A.N.); (A.M.); (T.S.); (S.D.M.); (Z.B.); (P.V.); (D.F.W.)
- Precision Radio-Theranostics Translational Laboratories, Mallinckrodt Institute of Radiology, School of Medicine, Washington University, Saint Louis, MO 63110, USA
| | - Dejan B. Budimirovic
- Department of Psychiatry and Behavioral Sciences-Child Psychiatry, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA;
- Departments of Psychiatry and Neurogenetics, Kennedy Krieger Institute, Baltimore, MD 21205, USA
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Tziraki M, Garg S, Harrison E, Wright NB, Hawkes R, Akhtar K, Green J, Stivaros S. A Neuroimaging Preparation Protocol Tailored for Autism. Autism Res 2020; 14:65-74. [PMID: 33150732 DOI: 10.1002/aur.2427] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 10/21/2020] [Accepted: 10/21/2020] [Indexed: 11/09/2022]
Abstract
This paper describes the key basic elements required for a successful multi-parametric MRI data acquisition in awake children with autism. The procedure was designed by taking into account methodological challenges arising from the acquisition of Resting State fMRI (RS fMRI) data, and factors such as cost, time, and staff availability. The ultimate aim was to prepare an imaging preparation protocol with high transferability to the whole autism spectrum, adaptable for use in a multi-site research with multiple time points. As part of a randomized pharmaco-intervention study, 31 children aged 4-10 years with Neurofibromatosis 1 and autism underwent MR imaging at baseline and end of intervention. The protocol consisted of tailored habituation instructions including gradual exposure to scanner noise, a social stories booklet, positive incentive strategies, and Play Therapy support. Success rate for initial acquisition was 71% for GABA+ MR spectroscopy at either location, 87% for perfusion, and 67% for diffusion assessment, and 71% for RS fMRI. Qualitative data indicated that 84% parents found the habituation protocol helpful. LAY SUMMARY: Here we describe a protocol for brain Magnetic Resonance Imaging (MRI) tailored for children with ASD to help reduce stress and avoid sedation during scanning. This procedure can make advanced medical imaging more accessible and promote a better MRI experience for families of children with ASD.
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Affiliation(s)
- Maria Tziraki
- Psychology Department, CITY College, International Faculty of the University of Sheffield, Thessaloniki, Greece
| | - Shruti Garg
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,Royal Manchester Children's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Emma Harrison
- NIHR Clinical Research Facility, Royal Manchester Children's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Neville B Wright
- Royal Manchester Children's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Rob Hawkes
- Royal Manchester Children's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Kapasi Akhtar
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Jonathan Green
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,Royal Manchester Children's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Stavros Stivaros
- Royal Manchester Children's Hospital, Manchester University NHS Foundation Trust, Manchester, UK.,Division of Informatics, Imaging and Data Sciences, School of Health Sciences, University of Manchester & Academic Unit of Paediatric Radiology, Royal Manchester Children's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
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28
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Tang S, Xu Y, Liu X, Chen Z, Zhou Y, Nie L, He L. Quantitative susceptibility mapping shows lower brain iron content in children with autism. Eur Radiol 2020; 31:2073-2083. [PMID: 32945969 DOI: 10.1007/s00330-020-07267-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 07/23/2020] [Accepted: 09/08/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To explore the application of quantitative susceptibility mapping (QSM) of brain iron content in children with autism. METHODS For the control group, 40 normal children aged 2-3, 3-4, 4-5, and 5-6 years were prospectively selected from June 2018 to December 2018, with equal numbers of males and females in each age group. For the study group, 40 children with autism aged 2-3, 3-4, 4-5, and 5-6 years were prospectively selected from January 2019 to October 2019; once again, there were equal numbers of males and females in each age group. All children received routine head MRI scans and enhanced T2*-weighted angiography (ESWAN) sequence scans, and the ESWAN sequence images were processed by software to obtain magnetic susceptibility maps. The regions of interest (ROIs) of the frontal white matter, frontal gray matter, thalamus, red nucleus, substantia nigra, dentate nucleus, globus pallidus, putamen nucleus, caudate nucleus, pons, and splenium of the corpus callosum were selected, and the magnetic susceptibility values were measured. The differences in magnetic susceptibility between the two groups were compared in children at the same age. RESULTS For the children aged 2-3 years, the magnetic susceptibility values in the caudate nucleus, dentate nucleus, and splenium of the corpus callosum in the study group were lower than those in the control group (p < 0.05). For the children aged 3-4, 4-5, and 5-6 years, the magnetic susceptibility values in the frontal white matter, caudate nucleus, red nucleus, substantia nigra, dentate nucleus, and splenium of the corpus callosum in the study group were lower than those in the control group (p < 0.05). CONCLUSION The brain iron content of children with autism is lower than that of normal children. TRIAL REGISTRATION This study protocol was registered at the Chinese clinical trial registry (registration number: ChiCTR2000029699; http://www.chictr.org.cn/searchprojen.aspx ). KEY POINTS • In this study, the brain iron content of normal children and children with autism was compared to identify the differences, which provided a new objective basis for the early diagnosis of children with autism. • This study examined the iron content values in various brain regions of normal children aged 2-6 years in this region and established a reference range for iron content in various brain regions of normal children in one geographical area, providing a reliable and objective standard for the diagnosis and treatment of some brain diseases in children. • The results of this study indicate that the brain iron content of preschool children with autism is lower than that of normal preschool children.
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Affiliation(s)
- Shilong Tang
- Department of Radiology, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China
| | - Ye Xu
- Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Xianfan Liu
- National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Zhuo Chen
- China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Yu Zhou
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Lisha Nie
- GE Healthcare, MR Research China, Beijing, China
| | - Ling He
- Department of Radiology, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China.
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Rey CN, Betz AM, Sleiman AA, Kuroda T, Podlesnik CA. Adventitious reinforcement during long-duration DRO exposure. J Appl Behav Anal 2020; 53:1674-1687. [PMID: 32142174 DOI: 10.1002/jaba.697] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 12/15/2019] [Accepted: 12/15/2019] [Indexed: 11/08/2022]
Abstract
Differential reinforcement of other behavior (DRO) is a procedure often used to decrease problem behavior, but the processes responsible for behavior reduction are not well understood. This study assessed whether adventitious reinforcement of other behavior contributes to DRO effectiveness when, relative to previous research, DRO exposure is prolonged. Two response options were presented on a computer and target responding was reinforced on a variable-ratio schedule. Response rates were then compared during DRO versus yoked variable-time or extinction probes. Across 2 experiments, DRO decreased target responding and increased other responding more than control conditions. However, increases in other responding did not usually maintain despite target responding remaining at low levels. DRO might adventitiously reinforce other responses transiently but the decreases in target behavior could not be entirely explained by adventitious reinforcement of the other response. Instead, reductions in target responding likely depend on the discriminability of the DRO contingency.
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Affiliation(s)
- Catalina N Rey
- Florida Institute of Technology and University of Vermont
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30
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Stuesser HA, Roscoe EM. An evaluation of differential reinforcement with stimulus fading as an intervention for medical compliance. J Appl Behav Anal 2020; 53:1606-1621. [PMID: 32056207 DOI: 10.1002/jaba.685] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Accepted: 11/26/2019] [Indexed: 01/13/2023]
Abstract
Individuals with autism spectrum disorder (ASD) often exhibit noncompliance during medical exams. One intervention used to address this concern is differential reinforcement. Although differential reinforcement includes extinction, it may not be feasible or safe to implement extinction during medical exams. In the current study, we evaluated differential reinforcement without extinction and differential reinforcement without extinction plus stimulus fading, for increasing compliance during routine medical exams exhibited by 4 individuals with ASD. An indirect assessment identified problematic medical procedures, and a functional analysis showed that participants' disruptive behavior was maintained by escape from medical tasks. Differential reinforcement without extinction was insufficient in increasing medical compliance with 3 of 4 participants. The addition of a modified stimulus fading procedure that involved gradually introducing smaller components of problematic exam steps was effective in increasing medical compliance with all exam steps.
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Affiliation(s)
| | - Eileen M Roscoe
- Western New England University, The New England Center for Children
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31
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Pua EPK, Barton S, Williams K, Craig JM, Seal ML. Individualised MRI training for paediatric neuroimaging: A child-focused approach. Dev Cogn Neurosci 2019; 41:100750. [PMID: 31999567 PMCID: PMC6994628 DOI: 10.1016/j.dcn.2019.100750] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 12/06/2019] [Accepted: 12/13/2019] [Indexed: 12/21/2022] Open
Abstract
Magnetic Resonance Imaging (MRI) in paediatric cohorts is often complicated by reluctance to enter the scanner and head motion-related imaging artefacts. The process is particularly challenging for children with neurodevelopmental disorders where coping with novel task demands in an unfamiliar setting may be more difficult due to symptom-related deficits or distress. These issues often give rise to excessive head motion that can significantly reduce the quality of images acquired, or render data unusable. Here we report an individualised MRI training procedure that enables children with Autism Spectrum Disorders (ASD) to better tolerate the MRI scanner environment based on a child-focused approach and individualised familiarisation strategies, including a pre-visit interview, familiarisation package, and personalised rewards. A medical imaging mobile application was utilised to familiarise participants to multi-sensory aspects of the neuroimaging experience through a variety of themed mini-games and activities. The MRI training procedure was implemented for monozygotic twins (n = 12; 6 twin pairs; age range 7.1–12.9 years) concordant or discordant for ASD. MRI image quality indices were better or comparable to images acquired from a large independent multi-centre ASD cohort. Present findings are promising and suggest that child-focused strategies could improve the quality of paediatric neuroimaging in clinical populations.
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Affiliation(s)
- Emmanuel Peng Kiat Pua
- Melbourne School of Psychological Sciences, University of Melbourne, Australia; Developmental Imaging, Murdoch Children's Research Institute, Australia.
| | - Sarah Barton
- Developmental Imaging, Murdoch Children's Research Institute, Australia; Department of Paediatrics, University of Melbourne, Australia; Department of Neurology, The Royal Children's Hospital, Australia
| | - Katrina Williams
- Department of Paediatrics, University of Melbourne, Australia; Department of Paediatrics, Monash University, Australia; Neurodisability and Rehabilitation, Murdoch Children's Research Institute, Australia
| | - Jeffrey M Craig
- Department of Paediatrics, University of Melbourne, Australia; Molecular Epidemiology, Murdoch Children's Research Institute, Australia; Centre for Molecular and Medical Research, Deakin University School of Medicine, Geelong, Australia
| | - Marc L Seal
- Developmental Imaging, Murdoch Children's Research Institute, Australia; Department of Paediatrics, University of Melbourne, Australia
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32
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Sandbank M, Cascio C. Using a motion-tracking device to facilitate motion control in children with ASD for neuroimaging. Dev Neurorehabil 2019; 22:365-375. [PMID: 30081715 DOI: 10.1080/17518423.2018.1502831] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Purpose: Conducting neurological scans of children with disabilities is difficult because participants exhibit excessive motion. We examined whether a motion-tracking system that combined real-time visual feedback with positive reinforcement and shaping could facilitate motion control in two children with autism spectrum disorder. Methods: Using a modified changing criterion design, we evaluated whether the intervention could facilitate decreases in the participants' range of motion and increases in duration of motion control in a mock scanner. Results: Participants restricted head motion to increasingly smaller distance windows for 2 min. Once participants limited head displacement to 3 mm for 2 min, duration of motion control increased to a range of 7-20 min. Summary-level data from the actual scan suggests increases in motion control generalized outside of the intervention context. Conclusion: This study adds to the limited research on the use of behavioral interventions to increase motion control for neuroimaging in children with disabilities.
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Affiliation(s)
- Micheal Sandbank
- a Special Education Department , The University of Texas at Austin , Austin , TX , USA
| | - Carissa Cascio
- b Department of Psychiatry, Department of Psychology and Human Development, Vanderbilt Brain Institute, Vanderbilt Kennedy Center , Vanderbilt University Medical Center , Nashville , TN , USA
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33
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The Urgent Need for Molecular Imaging to Confirm Target Engagement for Clinical Trials of Fragile X Syndrome and Other Subtypes of Autism Spectrum Disorder. ARCHIVES OF NEUROSCIENCE 2019. [DOI: 10.5812/ans.91831] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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34
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Reiter MA, Mash LE, Linke AC, Fong CH, Fishman I, Müller RA. Distinct Patterns of Atypical Functional Connectivity in Lower-Functioning Autism. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 4:251-259. [PMID: 30343132 PMCID: PMC7202917 DOI: 10.1016/j.bpsc.2018.08.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/03/2018] [Accepted: 08/10/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND Functional magnetic resonance imaging research on autism spectrum disorders (ASDs) has been largely limited to individuals with near-average intelligence. Although cognitive impairment is common in ASDs, functional network connectivity in this population remains poorly understood. Specifically, it remains unknown whether lower-functioning individuals exhibit exacerbated connectivity abnormalities similar to those previously detected in higher-functioning samples or specific divergent patterns of connectivity. METHODS Resting-state functional magnetic resonance imaging data from 88 children (44 ASD, 44 typically developing; average age: 11 years) were included. Based on IQ, individuals with ASDs were assigned to either a lower-functioning group (mean IQ = 77 ± 6) or a higher-functioning group (mean IQ = 123 ± 8). Two typically developing comparison groups were matched to these groups on head motion, handedness, and age. Seeds in the medial prefrontal cortex, posterior cingulate cortex, posterior superior temporal sulcus, insula, and amygdala were used to contrast whole-brain functional connectivity across groups. RESULTS Lower-functioning ASD participants (compared with higher-functioning ASD participants) showed significant underconnectivity within the default mode network and the ventral visual stream. Higher-functioning ASD participants (compared with matched typically developing participants) showed significantly decreased anticorrelations among default mode, salience, and task-positive regions. Effect sizes of detected differences were large (Cohen's d > 1.46). CONCLUSIONS Lower- and higher-functioning individuals with ASDs demonstrated distinct patterns of atypical connectivity. Findings suggest a gross pattern of predominantly reduced network integration in lower-functioning ASDs (affecting default mode and visual networks) and predominantly reduced network segregation in higher-functioning ASDs. Results indicate the need for stratification by general functional level in studies of functional connectivity in ASDs.
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Affiliation(s)
- Maya A Reiter
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California; Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California
| | - Lisa E Mash
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California; Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California
| | - Annika C Linke
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California
| | - Christopher H Fong
- Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California
| | - Inna Fishman
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California; Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California
| | - Ralph-Axel Müller
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California; Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, California.
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35
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Holiga Š, Hipp JF, Chatham CH, Garces P, Spooren W, D’Ardhuy XL, Bertolino A, Bouquet C, Buitelaar JK, Bours C, Rausch A, Oldehinkel M, Bouvard M, Amestoy A, Caralp M, Gueguen S, Ly-Le Moal M, Houenou J, Beckmann CF, Loth E, Murphy D, Charman T, Tillmann J, Laidi C, Delorme R, Beggiato A, Gaman A, Scheid I, Leboyer M, d’Albis MA, Sevigny J, Czech C, Bolognani F, Honey GD, Dukart J. Patients with autism spectrum disorders display reproducible functional connectivity alterations. Sci Transl Med 2019. [DOI: 10.1126/scitranslmed.aat9223 order by 39635--] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Affiliation(s)
- Štefan Holiga
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Joerg F. Hipp
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Christopher H. Chatham
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Pilar Garces
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Will Spooren
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Xavier Liogier D’Ardhuy
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Alessandro Bertolino
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, 70121 Bari, Italy
| | - Céline Bouquet
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Jan K. Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen Medical center, Nijmegen 6525 EN, Netherlands
| | - Carsten Bours
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen Medical center, Nijmegen 6525 EN, Netherlands
| | - Annika Rausch
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen Medical center, Nijmegen 6525 EN, Netherlands
| | - Marianne Oldehinkel
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen Medical center, Nijmegen 6525 EN, Netherlands
- Brain & Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Manuel Bouvard
- Pôle Universitaire de Psychiatrie de l'Enfant et de l'Adolescent, Hôpital Charles Perrens Bordeaux, 33076 Bordeaux, France
| | - Anouck Amestoy
- Pôle Universitaire de Psychiatrie de l'Enfant et de l'Adolescent, Hôpital Charles Perrens Bordeaux, 33076 Bordeaux, France
| | - Mireille Caralp
- INSERM, National Biobank Infrastructure, 75013 Paris, France
| | - Sonia Gueguen
- INSERM, Clinical Research Department, 75014 Paris, France
| | | | - Josselin Houenou
- Hôpitaux Universitaires Mondor, DHU PePSY, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Fondation FondaMental, 94000 Créteil, France
- NeuroSpin, UNIACT Lab, Psychiatry Team, CEA Saclay, 91191 Gif-Sur-Yvette, France
| | - Christian F. Beckmann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen Medical center, Nijmegen 6525 EN, Netherlands
| | - Eva Loth
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Declan Murphy
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Tony Charman
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Julian Tillmann
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
- Department of Applied Psychology: Health, Development, Enhancement, and Intervention, University of Vienna, 1010 Vienna, Austria
| | - Charles Laidi
- Hôpitaux Universitaires Mondor, DHU PePSY, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Fondation FondaMental, 94000 Créteil, France
| | - Richard Delorme
- APHP, Robert Debré Hospital, Child and Adolescent Psychiatry Department, Paris, France
- Pasteur Institute, 75019 Paris, France
| | - Anita Beggiato
- APHP, Robert Debré Hospital, Child and Adolescent Psychiatry Department, Paris, France
- Pasteur Institute, 75019 Paris, France
| | - Alexandru Gaman
- Hôpitaux Universitaires Mondor, DHU PePSY, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Fondation FondaMental, 94000 Créteil, France
| | - Isabelle Scheid
- Hôpitaux Universitaires Mondor, DHU PePSY, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Fondation FondaMental, 94000 Créteil, France
| | - Marion Leboyer
- Hôpitaux Universitaires Mondor, DHU PePSY, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Fondation FondaMental, 94000 Créteil, France
| | - Marc-Antoine d’Albis
- Hôpitaux Universitaires Mondor, DHU PePSY, Pôle de psychiatrie, Faculté de Médecine, Université Paris Est, INSERM U955, IMRB, Equipe 15, Psychiatrie Translationnelle, Fondation FondaMental, 94000 Créteil, France
- NeuroSpin, UNIACT Lab, Psychiatry Team, CEA Saclay, 91191 Gif-Sur-Yvette, France
| | - Jeff Sevigny
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Christian Czech
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Federico Bolognani
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
- Therachon AG, Aeschenvorstadt 36, 4051 Basel, Switzerland
| | - Garry D. Honey
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Juergen Dukart
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann–La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, 52428 Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40223 Düsseldorf, Germany
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Holiga Š, Hipp JF, Chatham CH, Garces P, Spooren W, D’Ardhuy XL, Bertolino A, Bouquet C, Buitelaar JK, Bours C, Rausch A, Oldehinkel M, Bouvard M, Amestoy A, Caralp M, Gueguen S, Ly-Le Moal M, Houenou J, Beckmann CF, Loth E, Murphy D, Charman T, Tillmann J, Laidi C, Delorme R, Beggiato A, Gaman A, Scheid I, Leboyer M, d’Albis MA, Sevigny J, Czech C, Bolognani F, Honey GD, Dukart J. Patients with autism spectrum disorders display reproducible functional connectivity alterations. Sci Transl Med 2019; 11:11/481/eaat9223. [DOI: 10.1126/scitranslmed.aat9223] [Citation(s) in RCA: 80] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 11/22/2018] [Accepted: 02/05/2019] [Indexed: 01/16/2023]
Abstract
Despite the high clinical burden, little is known about pathophysiology underlying autism spectrum disorder (ASD). Recent resting-state functional magnetic resonance imaging (rs-fMRI) studies have found atypical synchronization of brain activity in ASD. However, no consensus has been reached on the nature and clinical relevance of these alterations. Here, we addressed these questions in four large ASD cohorts. Using rs-fMRI, we identified functional connectivity alterations associated with ASD. We tested for associations of these imaging phenotypes with clinical and demographic factors such as age, sex, medication status, and clinical symptom severity. Our results showed reproducible patterns of ASD-associated functional hyper- and hypoconnectivity. Hypoconnectivity was primarily restricted to sensory-motor regions, whereas hyperconnectivity hubs were predominately located in prefrontal and parietal cortices. Shifts in cortico-cortical between-network connectivity from outside to within the identified regions were shown to be a key driver of these abnormalities. This reproducible pathophysiological phenotype was partially associated with core ASD symptoms related to communication and daily living skills and was not affected by age, sex, or medication status. Although the large effect sizes in standardized cohorts are encouraging with respect to potential application as a treatment and for patient stratification, the moderate link to clinical symptoms and the large overlap with healthy controls currently limit the usability of identified alterations as diagnostic or efficacy readout.
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Li J, Li Q, Dai X, Li J, Zhang X. Does pre-scanning training improve the image quality of children receiving magnetic resonance imaging?: A meta-analysis of current studies. Medicine (Baltimore) 2019; 98:e14323. [PMID: 30702613 PMCID: PMC6380694 DOI: 10.1097/md.0000000000014323] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Magnetic resonance imaging (MRI) is often used in children for its clear display of body parts. But it is usually hard to acquire high-quality images, for the uncooperative ability of children. It is believed that pre-MRI training could ensure the high quality of images. The current meta-analysis was done to analyze the current evidences in this field. METHODS PubMed, Cochrane Library, and Web of Science were systematically searched up to July 2018, for studies assessing the effects of training on pediatric MRI. Data, including image quality, failed scanning rate, and sedation use, were extracted and analyzed using Revman 5.2 software. RESULTS There were 5 studies with 379 subjects in the meta-analysis. Training and control groups were quite comparable when accepted image quality was reviewed (P = .30), but a lower rate of excellent image quality was found in subjects with training (P = .02). The pooling results found no significance between training and control group in sedation use (P = .09) and successful MRI scanning (P = .63). CONCLUSIONS It is cautious to conclude that pre-MRI training does not improve the image quality and reduce sedation use among children, for the limited number of studies and sample size. More trials should be encouraged to demonstrate this issue.
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Gabrielsen TP, Anderson JS, Stephenson KG, Beck J, King JB, Kellems R, Top DN, Russell NCC, Anderberg E, Lundwall RA, Hansen B, South M. Functional MRI connectivity of children with autism and low verbal and cognitive performance. Mol Autism 2018; 9:67. [PMID: 30603063 PMCID: PMC6307191 DOI: 10.1186/s13229-018-0248-y] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 11/23/2018] [Indexed: 02/19/2023] Open
Abstract
Background Functional neuroimaging research in autism spectrum disorder has reported patterns of decreased long-range, within-network, and interhemispheric connectivity. Research has also reported increased corticostriatal connectivity and between-network connectivity for default and attentional networks. Past studies have excluded individuals with autism and low verbal and cognitive performance (LVCP), so connectivity in individuals more significantly affected with autism has not yet been studied. This represents a critical gap in our understanding of brain function across the autism spectrum. Methods Using behavioral support procedures adapted from Nordahl, et al. (J Neurodev Disord 8:20–20, 2016), we completed non-sedated structural and functional MRI scans of 56 children ages 7–17, including LVCP children (n = 17, mean IQ = 54), children with autism and higher performance (HVCP, n = 20, mean IQ = 106), and neurotypical children (NT, n = 19, mean IQ = 111). Preparation included detailed intake questionnaires, video modeling, behavioral and anxiety reduction techniques, active noise-canceling headphones, and in-scan presentation of the Inscapes movie paradigm from Vanderwal et al. (Neuroimage 122:222–32, 2015). A high temporal resolution multiband echoplanar fMRI protocol analyzed motion-free time series data, extracted from concatenated volumes to mitigate the influence of motion artifact. All participants had > 200 volumes of motion-free fMRI scanning. Analyses were corrected for multiple comparisons. Results LVCP showed decreased within-network connectivity in default, salience, auditory, and frontoparietal networks (LVCP < HVCP) and decreased interhemispheric connectivity (LVCP < HVCP=NT). Between-network connectivity was higher for LVCP than NT between default and dorsal attention and frontoparietal networks. Lower IQ was associated with decreased connectivity within the default network and increased connectivity between default and dorsal attention networks. Conclusions This study demonstrates that with moderate levels of support, including readily available techniques, information about brain similarities and differences in LVCP individuals can be further studied. This initial study suggested decreased network segmentation and integration in LVCP individuals. Further imaging studies of LVCP individuals with larger samples will add to understanding of origins and effects of autism on brain function and behavior. Electronic supplementary material The online version of this article (10.1186/s13229-018-0248-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Terisa P Gabrielsen
- 1Department of Counseling, Psychology and Special Education, Brigham Young University McKay School of Education, Provo, USA
| | - Jeff S Anderson
- 2Department of Radiology and Imaging Sciences, University of Utah School of Medicine, Salt Lake City, USA
| | | | - Jonathan Beck
- 3Department of Psychology, Brigham Young University, Provo, USA
| | - Jace B King
- 4Interdepartmental Program in Neuroscience, University of Utah School of Medicine, Salt Lake City, USA
| | - Ryan Kellems
- 1Department of Counseling, Psychology and Special Education, Brigham Young University McKay School of Education, Provo, USA
| | - David N Top
- 3Department of Psychology, Brigham Young University, Provo, USA
| | | | - Emily Anderberg
- 3Department of Psychology, Brigham Young University, Provo, USA
| | - Rebecca A Lundwall
- 3Department of Psychology, Brigham Young University, Provo, USA.,5Brigham Young University Neuroscience Center and MRI Research Facility, Provo, USA
| | - Blake Hansen
- 1Department of Counseling, Psychology and Special Education, Brigham Young University McKay School of Education, Provo, USA
| | - Mikle South
- 3Department of Psychology, Brigham Young University, Provo, USA.,5Brigham Young University Neuroscience Center and MRI Research Facility, Provo, USA
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Kyonka EGE, Subramaniam S. Translating Behavior Analysis: a Spectrum Rather than a Road Map. Perspect Behav Sci 2018; 41:591-613. [PMID: 31976415 PMCID: PMC6701482 DOI: 10.1007/s40614-018-0145-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Much has been written about the potential benefits of translational research in behavior analysis, but a lack of consensus about what constitutes "translational" creates a barrier to effective knowledge-practice innovation within the discipline and across other sciences. We propose a tiered system, adapted from a biomedical translational pathway, for classifying behavior analysis research on a basic-applied spectrum. Tier 0 is blue sky basic science in which the subjects, behaviors, stimuli, and settings are selected for convenience. Tier 1 is use-inspired basic science with a socially important end game and research subject. Tier 2 is solution-oriented research that attempts to solve a specific problem in a socially important subject, but 1 or more aspects of the research are selected for purposes of experimental control rather than social importance. Tier 3 is applied behavior analysis research that studies a problem of social significance for the subject and involves behaviors, stimuli, and settings that are socially important. Tier 4 is impact assessment in which behavioral technology is applied with a direct benefit to society. We provide examples of behavior-analytic research in each tier and evaluate the potential benefits of organizing behavior analysis in this way.
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Affiliation(s)
- Elizabeth G. E. Kyonka
- School of Psychology and Behavioural Science, University of New England, Psychology Lane S 6 First Floor, Armidale, NSW 2351 Australia
| | - Shrinidhi Subramaniam
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD USA
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Jack A, Pelphrey K. Annual Research Review: Understudied populations within the autism spectrum - current trends and future directions in neuroimaging research. J Child Psychol Psychiatry 2017; 58:411-435. [PMID: 28102566 PMCID: PMC5367938 DOI: 10.1111/jcpp.12687] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/08/2016] [Indexed: 01/01/2023]
Abstract
BACKGROUND Autism spectrum disorders (ASDs) are a heterogeneous group of neurodevelopmental conditions that vary in both etiology and phenotypic expression. Expressions of ASD characterized by a more severe phenotype, including autism with intellectual disability (ASD + ID), autism with a history of developmental regression (ASD + R), and minimally verbal autism (ASD + MV) are understudied generally, and especially in the domain of neuroimaging. However, neuroimaging methods are a potentially powerful tool for understanding the etiology of these ASD subtypes. SCOPE AND METHODOLOGY This review evaluates existing neuroimaging research on ASD + MV, ASD + ID, and ASD + R, identified by a search of the literature using the PubMed database, and discusses methodological, theoretical, and practical considerations for future research involving neuroimaging assessment of these populations. FINDINGS There is a paucity of neuroimaging research on ASD + ID, ASD + MV, and ASD + R, and what findings do exist are often contradictory, or so sparse as to be ungeneralizable. We suggest that while greater sample sizes and more studies are necessary, more important would be a paradigm shift toward multimodal (e.g. imaging genetics) approaches that allow for the characterization of heterogeneity within etiologically diverse samples.
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Affiliation(s)
- Allison Jack
- Autism and Neurodevelopmental Disorders Institute, The George Washington University, Ashburn, VA
- Department of Pharmacology and Physiology, The George Washington University, Washington, D.C
| | - Kevin Pelphrey
- Autism and Neurodevelopmental Disorders Institute, The George Washington University, Ashburn, VA
- Department of Pharmacology and Physiology, The George Washington University, Washington, D.C
- Children's National Health System, Washington, D.C., USA
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