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Pham LNH, Lee AK, Estes A, Dager S, Hemingway SJA, Thorne JC, Lau BK. Comparing narrative storytelling ability in individuals with autism and fetal alcohol spectrum disorders. Int J Lang Commun Disord 2024; 59:779-797. [PMID: 37850612 DOI: 10.1111/1460-6984.12964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 09/15/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND Narrative discourse, or storytelling, is used in daily conversation and requires higher-level language and social communication skills that are not always captured by standardised assessments of language. Many autistic individuals and individuals with fetal alcohol spectrum disorders (FASD) have difficulties with both social communication and language skills, and narrative discourse analysis offers an ecologically relevant approach to assessing those challenges. AIMS This study investigated narrative discourse in individuals with autism and FASD, as well as an age- and sex-matched comparison group. METHODS AND PROCEDURES Narratives from 45 adolescents and adults, 11 with autism, 11 with FASD and 23 age- and sex-matched comparison participants were elicited using a wordless storybook. They were then transcribed orthographically, formatted to the Systematic Analyses of Language Transcript (SALT) convention and scored based on the SALT Narrative Scoring Scheme (NSS), a standardised language analysis protocol. In addition to the NSS total score, which assesses the overall structure and cohesion of the narratives produced, local and global measures of language ability were also employed. The local language measures included the number of mental state and temporal relation terms produced, while the global language measures included mean length of utterance, total different words, total words, total utterances, rate of speech, the number of mazes (e.g., repetitions, 'um', 'uh' or self-corrections) per total word and the NSS total score. OUTCOMES AND RESULTS Using the SALT Language Sample Analysis tool, our results revealed that on global language measures, group differences were found on rate of speech, number of mazes per total words and the description of conflict/resolution in the narratives produced. The autism group produced significantly more mazes per total word and scored higher on the NSS conflict/resolution category score compared to the FASD and comparison groups. Both the autism and FASD groups spoke at a lower rate than the comparison group. On local language measures of narrative production, all groups were comparable, on average. CONCLUSIONS AND IMPLICATIONS While many aspects of narrative discourse in the autism and FASD groups were similar to each other and to the comparison group, we observed group differences on global measures of narrative production and significant individual variability within groups, suggesting that narrative abilities considered at an individual level may provide important clinical information for intervention planning. Future research should also consider additional variables that influence narrative discourse, such as motivation, distractibility or decision-making of individual participants. WHAT THIS PAPER ADDS What is already known on the subject Narrative discourse, or storytelling, is used in daily conversational interactions and reveals higher-level language skills that may not be well captured by standardised assessments of language. Many autistic individuals and individuals with fetal alcohol spectrum disorders (FASD) show difficulty with pragmatic and expressive language skills. What this paper adds to existing knowledge We found that many aspects of the narratives produced by the adolescents/young adults in the autism and FASD groups were comparable to each other and to the neurotypical group. However, the groups differed on three global measures of narrative production: rate of speech, number of mazes per total words and the description of conflict/resolution in the narratives produced. Also, significant variability was observed within groups, suggesting that narrative abilities should be considered at an individual level as opposed to their clinical groups. What are the potential or actual clinical implications of this work? This study showed that narrative discourse is an appropriate task that can be added to routine clinical assessments of language abilities in autistic adolescents/young adults as well as those with FASD or typical development and has the potential to reveal higher-level, real-world language skills. An important clinical implication of this study is that narrative language abilities should be considered at an individual level and individual-tailored interventions based on ability level due to the variability observed across individuals.
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Affiliation(s)
- Linh N H Pham
- Department of Psychology, University of Washington, Seattle, Washington, USA
| | - Adrian Kc Lee
- Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington, USA
- Institute for Learning and Brain Sciences, University of Washington, Seattle, Washington, USA
| | - Annette Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington, USA
- UW Autism Center, University of Washington, Seattle, Washington, USA
| | - Stephen Dager
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Susan J Astley Hemingway
- Department of Epidemiology and Pediatrics, University of Washington, Seattle, Washington, USA
- Fetal Alcohol Syndrome Diagnostic and Prevention Network, University of Washington, Seattle, Washington, USA
| | - John C Thorne
- Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington, USA
- Fetal Alcohol Syndrome Diagnostic and Prevention Network, University of Washington, Seattle, Washington, USA
| | - Bonnie K Lau
- Department of Otolaryngology - Head and Neck Surgery, University of Washington, Seattle, Washington, USA
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2
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Marrus N, Botteron KN, Hawks Z, Pruett JR, Elison JT, Jackson JJ, Markson L, Eggebrecht AT, Burrows CA, Zwaigenbaum L, Dager S, Estes A, Hazlett H, Schultz RT, Piven J, Constantino JN. Social motivation in infancy is associated with familial recurrence of ASD. Dev Psychopathol 2024; 36:101-111. [PMID: 36189644 PMCID: PMC10067534 DOI: 10.1017/s0954579422001006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Pre-diagnostic deficits in social motivation are hypothesized to contribute to autism spectrum disorder (ASD), a heritable neurodevelopmental condition. We evaluated psychometric properties of a social motivation index (SMI) using parent-report item-level data from 597 participants in a prospective cohort of infant siblings at high and low familial risk for ASD. We tested whether lower SMI scores at 6, 12, and 24 months were associated with a 24-month ASD diagnosis and whether social motivation's course differed relative to familial ASD liability. The SMI displayed good internal consistency and temporal stability. Children diagnosed with ASD displayed lower mean SMI T-scores at all ages and a decrease in mean T-scores across age. Lower group-level 6-month scores corresponded with higher familial ASD liability. Among high-risk infants, strong decline in SMI T-scores was associated with 10-fold odds of diagnosis. Infant social motivation is quantifiable by parental report, differentiates children with versus without later ASD by age 6 months, and tracks with familial ASD liability, consistent with a diagnostic and susceptibility marker of ASD. Early decrements and decline in social motivation indicate increased likelihood of ASD, highlighting social motivation's importance to risk assessment and clarification of the ontogeny of ASD.
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Affiliation(s)
- Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine
| | | | - Zoë Hawks
- Department of Psychological & Brain Sciences, Washington University in St. Louis
| | - John R. Pruett
- Department of Psychiatry, Washington University School of Medicine
| | - Jed T. Elison
- Institute of Child Development, University of Minnesota
| | - Joshua J. Jackson
- Department of Psychological & Brain Sciences, Washington University in St. Louis
| | - Lori Markson
- Department of Psychological & Brain Sciences, Washington University in St. Louis
| | - Adam T. Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine
| | | | | | | | - Annette Estes
- Department of Speech and Hearing Sciences, University of Washington
| | - Heather Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill
| | | | - Joseph Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill
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3
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Johnson AJ, Shankland E, Richards T, Corrigan N, Shusterman D, Edden R, Estes A, St John T, Dager S, Kleinhans NM. Relationships between GABA, glutamate, and GABA/glutamate and social and olfactory processing in children with autism spectrum disorder. Psychiatry Res Neuroimaging 2023; 336:111745. [PMID: 37956467 PMCID: PMC10841920 DOI: 10.1016/j.pscychresns.2023.111745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 10/16/2023] [Accepted: 10/19/2023] [Indexed: 11/15/2023]
Abstract
Theories of altered inhibitory/excitatory signaling in autism spectrum disorder (ASD) suggest that gamma amino butyric acid (GABA) and glutamate (Glu) abnormalities may underlie social and sensory challenges in ASD. Magnetic resonance spectroscopy was used to measure Glu and GABA+ levels in the amygdala-hippocampus region and cerebellum in autistic children (n = 30), a clinical control group with sensory abnormalities (SA) but not ASD (n = 30), and children with typical development (n = 37). All participants were clinically assessed using the Autism Diagnostic Interview-Revised, the Autism Diagnostic Observation Scale-2, and the Child Sensory Profile-2. The Social Responsiveness Scale-2, Sniffin Sticks Threshold Test, and the University of Pennsylvania Smell Identification Test were administered to assess social impairment and olfactory processing. Overall, autistic children showed increased cerebellar Glu levels compared to TYP children. Evidence for altered excitatory/inhibitory signaling in the cerebellum was more clear-cut when analyses were restricted to male participants. Further, lower cerebellar GABA+/Glu ratios were correlated to more severe social impairment in both autistic and SA males, suggesting that the cerebellum may play a transdiagnostic role in social impairment. Future studies of inhibitory/excitatory neural markers, powered to investigate the role of sex, may aid in parsing out disorder-specific neurochemical profiles.
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Affiliation(s)
- Allegra J Johnson
- Department of Radiology, University of Washington, USA; Integrated Brain Imaging Center (IBIC), University of Washington, Box 357115, 1959 NE Pacific St, Seattle, WA 98195, USA
| | | | - Todd Richards
- Department of Radiology, University of Washington, USA; Integrated Brain Imaging Center (IBIC), University of Washington, Box 357115, 1959 NE Pacific St, Seattle, WA 98195, USA
| | - Neva Corrigan
- Institute on Human Development and Disability (IHDD), University of Washington, USA
| | - Dennis Shusterman
- Department of Medicine, University of California, San Francisco, USA
| | - Richard Edden
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, USA; F.M. Kirby Center for Functional MRI, Kennedy Krieger Institute, USA
| | - Annette Estes
- Institute on Human Development and Disability (IHDD), University of Washington, USA; Department of Speech and Hearing Sciences, University of Washington, USA; University of Washington Autism Center, USA
| | - Tanya St John
- University of Washington Autism Center, USA; Department of Medicine, University of California, San Francisco, USA
| | - Stephen Dager
- Department of Radiology, University of Washington, USA; Institute on Human Development and Disability (IHDD), University of Washington, USA; Department of Biomedical Engineering, University of Washington, USA
| | - Natalia M Kleinhans
- Department of Radiology, University of Washington, USA; Integrated Brain Imaging Center (IBIC), University of Washington, Box 357115, 1959 NE Pacific St, Seattle, WA 98195, USA; Institute on Human Development and Disability (IHDD), University of Washington, USA.
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Dimian AF, Estes AM, Dager S, Piven J, Wolff JJ. Predicting self-injurious behavior at age three among infant siblings of children with autism. Autism Res 2023; 16:1670-1680. [PMID: 37439184 DOI: 10.1002/aur.2981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 06/16/2023] [Indexed: 07/14/2023]
Abstract
Existing research suggests that self-injurious behavior (SIB) is a relatively common interfering behavior that can occur across the lifespan of individuals with autism spectrum disorder (ASD). We previously reported that SIB or proto-injurious SIB at 12 months was related to increased risk of SIB at 24 months among a preschool sample of children with a high familial likelihood for ASD (Dimian et al., 2017). In the present study, we extend these findings, examine SIB occurrence, and associated potential risk factors at 36 months. The present sample included 149 infants with an older sibling with ASD (65.8% male) who completed assessments at ages 12, 24, and 36 months. Descriptive analyses and binary logistic regression models were utilized. SIB was more prevalent among those children who received a diagnosis of ASD. Logistic regression indicated that presence of SIB, stereotypy, hyper- and hypo- sensory responsivity, and lower intellectual functioning at age 12 months significantly predicted the occurrence of SIB at 36 months. These findings have implications for understanding developmental processes culminating in persistent SIB and may inform prevention programming.
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Affiliation(s)
- Adele F Dimian
- Institute on Community Integration, University of Minnesota, Minneapolis, Minnesota, USA
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington, USA
| | - Stephen Dager
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, Minnesota, USA
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5
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Hawks ZW, Todorov A, Marrus N, Nishino T, Talovic M, Nebel MB, Girault JB, Davis S, Marek S, Seitzman BA, Eggebrecht AT, Elison J, Dager S, Mosconi MW, Tychsen L, Snyder AZ, Botteron K, Estes A, Evans A, Gerig G, Hazlett HC, McKinstry RC, Pandey J, Schultz RT, Styner M, Wolff JJ, Zwaigenbaum L, Markson L, Petersen SE, Constantino JN, White DA, Piven J, Pruett JR. A Prospective Evaluation of Infant Cerebellar-Cerebral Functional Connectivity in Relation to Behavioral Development in Autism Spectrum Disorder. Biol Psychiatry Glob Open Sci 2023; 3:149-161. [PMID: 36712571 PMCID: PMC9874081 DOI: 10.1016/j.bpsgos.2021.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 12/03/2021] [Accepted: 12/04/2021] [Indexed: 02/01/2023] Open
Abstract
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder diagnosed based on social impairment, restricted interests, and repetitive behaviors. Contemporary theories posit that cerebellar pathology contributes causally to ASD by disrupting error-based learning (EBL) during infancy. The present study represents the first test of this theory in a prospective infant sample, with potential implications for ASD detection. Methods Data from the Infant Brain Imaging Study (n = 94, 68 male) were used to examine 6-month cerebellar functional connectivity magnetic resonance imaging in relation to later (12/24-month) ASD-associated behaviors and outcomes. Hypothesis-driven univariate analyses and machine learning-based predictive tests examined cerebellar-frontoparietal network (FPN; subserves error signaling in support of EBL) and cerebellar-default mode network (DMN; broadly implicated in ASD) connections. Cerebellar-FPN functional connectivity was used as a proxy for EBL, and cerebellar-DMN functional connectivity provided a comparative foil. Data-driven functional connectivity magnetic resonance imaging enrichment examined brain-wide behavioral associations, with post hoc tests of cerebellar connections. Results Cerebellar-FPN and cerebellar-DMN connections did not demonstrate associations with ASD. Functional connectivity magnetic resonance imaging enrichment identified 6-month correlates of later ASD-associated behaviors in networks of a priori interest (FPN, DMN), as well as in cingulo-opercular (also implicated in error signaling) and medial visual networks. Post hoc tests did not suggest a role for cerebellar connections. Conclusions We failed to identify cerebellar functional connectivity-based contributions to ASD. However, we observed prospective correlates of ASD-associated behaviors in networks that support EBL. Future studies may replicate and extend network-level positive results, and tests of the cerebellum may investigate brain-behavior associations at different developmental stages and/or using different neuroimaging modalities.
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Affiliation(s)
- Zoë W. Hawks
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri
- Address correspondence to Zoë W. Hawks, Ph.D.
| | - Alexandre Todorov
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Tomoyuki Nishino
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Muhamed Talovic
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Mary Beth Nebel
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jessica B. Girault
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Savannah Davis
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Scott Marek
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Benjamin A. Seitzman
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Adam T. Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Jed Elison
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota
| | - Stephen Dager
- Departments of Radiology, University of Washington, Seattle, Washington
| | - Matthew W. Mosconi
- Life Span Institute and Clinical Child Psychology Program, University of Kansas, Lawrence, Kansas
| | - Lawrence Tychsen
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Abraham Z. Snyder
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Kelly Botteron
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Annette Estes
- Speech and Hearing Sciences, University of Washington, Seattle, Washington
| | - Alan Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Guido Gerig
- Department of Computer Science and Engineering, Tandon School of Engineering, New York University, New York, New York
| | - Heather C. Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Robert C. McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Juhi Pandey
- Center for Autism Research, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Robert T. Schultz
- Center for Autism Research, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Jason J. Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Lonnie Zwaigenbaum
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Lori Markson
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri
| | - Steven E. Petersen
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - John N. Constantino
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Desirée A. White
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - John R. Pruett
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, Missouri
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Emmons KA, Lee AKC, Estes A, Dager S, Larson E, McCloy DR, St. John T, Lau BK. Auditory Attention Deployment in Young Adults with Autism Spectrum Disorder. J Autism Dev Disord 2022; 52:1752-1761. [PMID: 34013478 PMCID: PMC8860962 DOI: 10.1007/s10803-021-05076-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2021] [Indexed: 10/21/2022]
Abstract
Difficulty listening in noisy environments is a common complaint of individuals with autism spectrum disorder (ASD). However, the mechanisms underlying such auditory processing challenges are unknown. This preliminary study investigated auditory attention deployment in adults with ASD. Participants were instructed to maintain or switch attention between two simultaneous speech streams in three conditions: location (co-located versus ± 30° separation), voice (same voice versus male-female contrast), and both cues together. Results showed that individuals with ASD can selectively direct attention using location or voice cues, but performance was best when both cues were present. In comparison to neurotypical adults, overall performance was less accurate across all conditions. These findings warrant further investigation into auditory attention deployment differences in individuals with ASD.
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Affiliation(s)
| | - Adrian KC Lee
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA,Institute for Learning and Brain Sciences, University of Washington, Box 357988, Seattle, WA 98195, USA
| | - Annette Estes
- UW Autism Center, University of Washington, Seattle, WA, USA,Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | - Stephen Dager
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA
| | - Eric Larson
- Institute for Learning and Brain Sciences, University of Washington, Box 357988, Seattle, WA 98195, USA
| | - Daniel R. McCloy
- Institute for Learning and Brain Sciences, University of Washington, Box 357988, Seattle, WA 98195, USA
| | - Tanya St. John
- UW Autism Center, University of Washington, Seattle, WA, USA
| | - Bonnie K. Lau
- Institute for Learning and Brain Sciences, University of Washington, Box 357988, Seattle, WA 98195, USA,Department of Otolaryngology—Head and Neck Surgery, University of Washington School of Medicine, Seattle, WA, USA
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7
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Plate S, Yankowitz L, Resorla L, Swanson MR, Meera SS, Estes A, Marrus N, Cola M, Petrulla V, Faggen A, Pandey J, Paterson S, Pruett JR, Hazlett H, Dager S, John TS, Botteron K, Zwaigenbaum L, Piven J, Schultz RT, Parish-Morris J. Infant vocalizing and phenotypic outcomes in autism: Evidence from the first 2 years. Child Dev 2022; 93:468-483. [PMID: 34708871 PMCID: PMC9112828 DOI: 10.1111/cdev.13697] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Infant vocalizations are early-emerging communicative markers shown to be atypical in autism spectrum disorder (ASD), but few longitudinal, prospective studies exist. In this study, 23,850 infant vocalizations from infants at low (LR)- and high (HR)-risk for ASD (HR-ASD = 23, female = 3; HR-Neg = 35, female = 13; LR = 32, female = 10; 80% White; collected from 2007 to 2017 near Philadelphia) were analyzed at 6, 12, and 24 months. At 12 months, HR-ASD infants produced fewer vocalizations than HR-Neg infants. From 6 to 24 months, HR-Neg infants demonstrated steeper vocalization growth compared to HR-ASD and LR infants. Finally, among HR infants, vocalizing at 12 months was associated with language, social phenotype, and diagnosis at age 2. Infant vocalizing is an objective behavioral marker that could facilitate earlier detection of ASD.
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Affiliation(s)
- Samantha Plate
- Center for Autism Research, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Lisa Yankowitz
- Center for Autism Research, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | | | | | - Annette Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington, USA
| | - Natasha Marrus
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Meredith Cola
- Center for Autism Research, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Victoria Petrulla
- Center for Autism Research, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Aubrey Faggen
- Center for Autism Research, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Juhi Pandey
- Center for Autism Research, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sarah Paterson
- The James S. McDonnel Foundation, Saint Louis, Missouri, USA
| | - John R. Pruett
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Heather Hazlett
- University of North Carolina, Chapel Hill, North Carolina, USA
| | - Stephen Dager
- Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington, USA
| | - Tanya St. John
- Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington, USA
| | - Kelly Botteron
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri, USA
| | | | - Joseph Piven
- University of North Carolina, Chapel Hill, North Carolina, USA
| | - Robert T. Schultz
- Center for Autism Research, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Julia Parish-Morris
- Center for Autism Research, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Gunderson J, Worthley E, Grzadzinski R, Burrows C, Estes A, Zwaigenbaum L, Botteron K, Dager S, Hazlett H, Schultz R, Piven J, Wolff J. Social and non-social sensory responsivity in toddlers at high-risk for autism spectrum disorder. Autism Res 2021; 14:2143-2155. [PMID: 34145789 PMCID: PMC8487998 DOI: 10.1002/aur.2556] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 04/23/2021] [Accepted: 05/28/2021] [Indexed: 12/14/2022]
Abstract
Empirical evidence concerning sensory responsivity in young children who later develop autism spectrum disorder (ASD) remains relatively limited. It is unclear whether specific patterns or aspects of sensory responsivity underlay the emergence of the disorder. The goals of this study were to (a) examine whether social versus non-social context impacted the expression of sensory responsivity in infants at high risk for ASD, and (b) examine if sensory responsivity in social or non-social contexts was associated with severity of ASD symptoms. The Sensory Experiences Questionnaire 2.1 was collected for 338 infants (131 females, 207 males) at high-risk for ASD at 12 and/or 24 months of age. High-risk toddlers meeting diagnostic criteria for ASD (n = 75) showed elevated sensory responsivity in both social and non-social contexts at 12 months of age and differences widened over the second year of life. Individuals with ASD demonstrate higher responsivity in both contexts suggestive of generalized atypical sensory responsivity in ASD. LAY SUMMARY: Behaviors such as avoiding or noticing sensory input (e.g., sounds, touches) are often different in individuals with autism spectrum disorder (ASD) than those without. The reason for this is widely unknown. The findings from this study show that in toddlers, sensory responsivity increased in both social and non-social situations. Therefore, the setting of sensory input does not explain these differences.
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Affiliation(s)
| | - Emma Worthley
- University of Minnesota, Minneapolis, Minnesota, USA
| | - Rebecca Grzadzinski
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | | | | | | | - Kelly Botteron
- Washington University in St. Louis, St. Louis, Missouri, USA
| | | | - Heather Hazlett
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Robert Schultz
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Joseph Piven
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jason Wolff
- University of Minnesota, Minneapolis, Minnesota, USA
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9
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Eggebrecht AT, Elison JT, Feczko E, Todorov A, Wolff JJ, Kandala S, Adams CM, Snyder AZ, Lewis JD, Estes AM, Zwaigenbaum L, Botteron KN, McKinstry RC, Constantino JN, Evans A, Hazlett HC, Dager S, Paterson SJ, Schultz RT, Styner MA, Gerig G, Das S, Kostopoulos P, Schlaggar BL, Petersen SE, Piven J, Pruett JR. Corrigendum: Joint Attention and Brain Functional Connectivity in Infants and Toddlers. Cereb Cortex 2020; 30:3433-3434. [DOI: 10.1093/cercor/bhaa092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 11/04/2019] [Accepted: 01/07/2020] [Indexed: 11/14/2022] Open
Affiliation(s)
- Adam T Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN 55455, USA
| | - Eric Feczko
- Department of Behavioral Neuroscience, Oregon Health & Sciences, Portland, OR 97239, USA
| | - Alexandre Todorov
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Sridhar Kandala
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Chloe M Adams
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Abraham Z Snyder
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - John D Lewis
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA 98195, USA
| | - Lonnie Zwaigenbaum
- Department of Psychiatry, University of Alberta, 1E1 Walter Mackenzie Health Sciences Centre (WMC), Edmonton, AB T6G 2B7, Canada
| | - Kelly N Botteron
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - John N Constantino
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Alan Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Heather C Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Stephen Dager
- Department of Radiology, University of Washington, Seattle, WA 98195, USA
| | - Sarah J Paterson
- The Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - Robert T Schultz
- The Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Guido Gerig
- Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA
| | - Samir Das
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Penelope Kostopoulos
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Bradley L Schlaggar
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Steven E Petersen
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
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10
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Swanson MR, Donovan K, Paterson S, Wolff JJ, Parish-Morris J, Meera SS, Watson LR, Estes AM, Marrus N, Elison JT, Shen MD, McNeilly HB, MacIntyre L, Zwaigenbaum L, St John T, Botteron K, Dager S, Piven J. Early language exposure supports later language skills in infants with and without autism. Autism Res 2019; 12:1784-1795. [PMID: 31254329 DOI: 10.1002/aur.2163] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 06/10/2019] [Indexed: 11/08/2022]
Abstract
The way that parents communicate with their typically developing infants is associated with later infant language development. Here we aim to show that these associations are observed in infants subsequently diagnosed with autism spectrum disorder (ASD). This study had three groups: high-familial-risk infants who did not have ASD (n = 46); high-familial-risk infants who had ASD (n = 14); and low-familial-risk infants who exhibited typical development (n = 36). All-day home language recordings were collected at 9 and 15 months, and language skills were assessed at 24 months. Across all infants in the study, including those with ASD, a richer home language environment (e.g., hearing more adult words and experiencing more conversational turns) at 9 and 15 months was associated with better language skills. Higher parental educational attainment was associated with a richer home language environment. Mediation analyses showed that the effect of education on child language skills was explained by the richness of the home language environment. Exploratory analyses revealed that typically developing infants experience an increase in caregiver-child conversational turns across 9-15 months, a pattern not seen in children with ASD. The current study shows that parent behavior during the earliest stages of life can have a significant impact on later development, highlighting the home language environment as means to support development in infants with ASD. Autism Res 2019, 12: 1784-1795. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: It has long been understood that caregiver speech supports language skills in typically developing infants. In this study, parents of infants who were later diagnosed with ASD and parents of infants in the control groups completed all-day home language recordings. We found that for all infants in our study, those who heard more caregiver speech had better language skills later in life. Parental education level was also related to how much caregiver speech an infant experienced.
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Affiliation(s)
- Meghan R Swanson
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas.,Carolina Institute for Developmental Disabilities (CIDD), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Kevin Donovan
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Sarah Paterson
- Department of Psychology, Temple University, Philadelphia, Pennsylvania
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Julia Parish-Morris
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Shoba S Meera
- Carolina Institute for Developmental Disabilities (CIDD), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Linda R Watson
- Division of Speech and Hearing Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington
| | - Natasha Marrus
- Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota
| | - Mark D Shen
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Heidi B McNeilly
- Carolina Institute for Developmental Disabilities (CIDD), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Leigh MacIntyre
- McGill Center for Integrative Neuroscience, McGill University, Montreal, Canada
| | - Lonnie Zwaigenbaum
- Department of Pediatrics, University of Alberta, Edmonton, Canada.,Autism Research Centre (E209), Glenrose Rehabilitation Hospital, Edmonton, Canada
| | - Tanya St John
- Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington
| | - Kelly Botteron
- Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri.,Department of Radiology, Washington University in St. Louis, St. Louis, Missouri
| | - Stephen Dager
- Department of Radiology, University of Washington, Seattle, Washington
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities (CIDD), University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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11
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Lau BK, Maddox RK, Estes A, Dager S, Lee AK. Combining clinical, behavioral, and neurophysiological measures to investigate auditory processing abnormalities in individuals with autism spectrum disorder. Proc Meet Acoust 2018; 35:050004. [PMID: 35949247 PMCID: PMC9358778 DOI: 10.1121/2.0000971] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- Bonnie K. Lau
- University of Washington, Department of Speech and Hearing Sciences
| | - Ross K. Maddox
- University of Rochester, Department on Biomedical Engineering, Department of Neuroscience
| | - Annette Estes
- University of Washington, Department of Speech and Hearing Sciences
| | | | - Adrian K.C. Lee
- University of Washington, Department of Speech and Hearing Sciences
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12
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Marrus N, Hall LP, Paterson SJ, Elison JT, Wolff JJ, Swanson MR, Parish-Morris J, Eggebrecht AT, Pruett JR, Hazlett HC, Zwaigenbaum L, Dager S, Estes AM, Schultz RT, Botteron KN, Piven J, Constantino JN. Language delay aggregates in toddler siblings of children with autism spectrum disorder. J Neurodev Disord 2018; 10:29. [PMID: 30348077 PMCID: PMC6198516 DOI: 10.1186/s11689-018-9247-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 09/20/2018] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Language delay is extremely common in children with autism spectrum disorder (ASD), yet it is unclear whether measurable variation in early language is associated with genetic liability for ASD. Assessment of language development in unaffected siblings of children with ASD can inform whether decreased early language ability aggregates with inherited risk for ASD and serves as an ASD endophenotype. METHODS We implemented two approaches: (1) a meta-analysis of studies comparing language delay, a categorical indicator of language function, and language scores, a continuous metric, in unaffected toddlers at high and low familial risk for ASD, and (2) a parallel analysis of 350 unaffected 24-month-olds in the Infant Brain Imaging Study (IBIS), a prospective study of infants at high and low familial risk for ASD. An advantage of the former was its detection of group differences from pooled data across unique samples; an advantage of the latter was its sensitivity in quantifying early manifestations of language delay while accounting for covariates within a single large sample. RESULTS Meta-analysis showed that high-risk siblings without ASD (HR-noASD) were three to four times more likely to exhibit language delay versus low-risk siblings without ASD (LR-noASD) and had lower mean receptive and expressive language scores. Analyses of IBIS data corroborated that language delay, specifically receptive language delay, was more frequent in the HR-noASD (n = 235) versus LR-noASD group (n = 115). IBIS language scores were continuously and unimodally distributed, with a pathological shift towards decreased language function in HR-noASD siblings. The elevated inherited risk for ASD was associated with lower receptive and expressive language scores when controlling for sociodemographic factors. For receptive but not expressive language, the effect of risk group remained significant even when controlling for nonverbal cognition. CONCLUSIONS Greater frequency of language delay and a lower distribution of language scores in high-risk, unaffected toddler-aged siblings support decreased early language ability as an endophenotype for ASD, with a more pronounced effect for receptive versus expressive language. Further characterization of language development is warranted to refine genetic investigations of ASD and to elucidate factors influencing the progression of core autistic traits and related symptoms.
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Affiliation(s)
- N Marrus
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO 63110 USA
| | - L P Hall
- Department of Psychology, St. Jude Children’s Research Hospital, 262 Danny Thomas Place, Mail Stop 740, Memphis, TN 38105 USA
| | - S J Paterson
- Department of Psychology, Temple University, 1801 N. Broad St, Philadelphia, PA 19122 USA
| | - J T Elison
- Institute of Child Development, University of Minnesota, 51 East River Parkway, Minneapolis, MN 55455 USA
| | - J J Wolff
- Department of Educational Psychology, University of Minnesota, 56 East River Road, Minneapolis, MN 55455 USA
| | - M R Swanson
- Department of Psychiatry, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514 USA
| | - J Parish-Morris
- Children’s Hospital of Philadelphia, University of Pennsylvania, Civic Center Blvd, Philadelphia, PA 19104 USA
| | - A T Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St Louis, MO 63110 USA
| | - J R Pruett
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO 63110 USA
| | - H C Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514 USA
| | - L Zwaigenbaum
- Department of Pediatrics, University of Alberta, 1E1 Walter Mackenzie Health Sciences Centre (WMC), 8440 112 St NW, Edmonton, AB T6G 2B7 Canada
| | - S Dager
- Department of Radiology, University of Washington, Seattle, 1410 NE Campus Parkway, Seattle, WA 98195 USA
| | - A M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, 1701 NE Columbia Rd, Seattle, WA 98195-7920 USA
| | - R T Schultz
- Children’s Hospital of Philadelphia, University of Pennsylvania, Civic Center Blvd, Philadelphia, PA 19104 USA
| | - K N Botteron
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO 63110 USA
| | - J Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514 USA
| | - J N Constantino
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO 63110 USA
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13
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Mitra A, Snyder AZ, Tagliazucchi E, Laufs H, Elison J, Emerson RW, Shen MD, Wolff JJ, Botteron KN, Dager S, Estes AM, Evans A, Gerig G, Hazlett HC, Paterson SJ, Schultz RT, Styner MA, Zwaigenbaum L, Schlaggar BL, Piven J, Pruett JR, Raichle M. Resting-state fMRI in sleeping infants more closely resembles adult sleep than adult wakefulness. PLoS One 2017; 12:e0188122. [PMID: 29149191 PMCID: PMC5693436 DOI: 10.1371/journal.pone.0188122] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 11/01/2017] [Indexed: 11/19/2022] Open
Abstract
Resting state functional magnetic resonance imaging (rs-fMRI) in infants enables important studies of functional brain organization early in human development. However, rs-fMRI in infants has universally been obtained during sleep to reduce participant motion artifact, raising the question of whether differences in functional organization between awake adults and sleeping infants that are commonly attributed to development may instead derive, at least in part, from sleep. This question is especially important as rs-fMRI differences in adult wake vs. sleep are well documented. To investigate this question, we compared functional connectivity and BOLD signal propagation patterns in 6, 12, and 24 month old sleeping infants with patterns in adult wakefulness and non-REM sleep. We find that important functional connectivity features seen during infant sleep closely resemble those seen during adult sleep, including reduced default mode network functional connectivity. However, we also find differences between infant and adult sleep, especially in thalamic BOLD signal propagation patterns. These findings highlight the importance of considering sleep state when drawing developmental inferences in infant rs-fMRI.
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Affiliation(s)
- Anish Mitra
- Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
- * E-mail:
| | - Abraham Z. Snyder
- Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
- Department of Neurology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Enzo Tagliazucchi
- Departamento de Fisica, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Helmut Laufs
- Department of Neurology, Christian-Albrechts-University Kiel, Germany
| | - Jed Elison
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Robert W. Emerson
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Mark D. Shen
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Jason J. Wolff
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Kelly N. Botteron
- Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Stephen Dager
- Department of Radiology, University of Washington, Seattle, Washington, United States of America
| | - Annette M. Estes
- Department of Psychology, University of Washington, Seattle, Washington, United States of America
| | - Alan Evans
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Guido Gerig
- Department of Psychiatry, New York University, New York, New York, United States of America
| | - Heather C. Hazlett
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Sarah J. Paterson
- Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Robert T. Schultz
- Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Martin A. Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Lonnie Zwaigenbaum
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | | | - Bradley L. Schlaggar
- Department of Neurology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - John R. Pruett
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Marcus Raichle
- Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
- Department of Neurology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
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14
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Eggebrecht AT, Elison JT, Feczko E, Todorov A, Wolff JJ, Kandala S, Adams CM, Snyder AZ, Lewis JD, Estes AM, Zwaigenbaum L, Botteron KN, McKinstry RC, Constantino JN, Evans A, Hazlett HC, Dager S, Paterson SJ, Schultz RT, Styner MA, Gerig G, Das S, Kostopoulos P, Schlaggar BL, Petersen SE, Piven J, Pruett JR. Joint Attention and Brain Functional Connectivity in Infants and Toddlers. Cereb Cortex 2017; 27:1709-1720. [PMID: 28062515 PMCID: PMC5452276 DOI: 10.1093/cercor/bhw403] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Accepted: 12/20/2016] [Indexed: 01/16/2023] Open
Abstract
Initiating joint attention (IJA), the behavioral instigation of coordinated focus of 2 people on an object, emerges over the first 2 years of life and supports social-communicative functioning related to the healthy development of aspects of language, empathy, and theory of mind. Deficits in IJA provide strong early indicators for autism spectrum disorder, and therapies targeting joint attention have shown tremendous promise. However, the brain systems underlying IJA in early childhood are poorly understood, due in part to significant methodological challenges in imaging localized brain function that supports social behaviors during the first 2 years of life. Herein, we show that the functional organization of the brain is intimately related to the emergence of IJA using functional connectivity magnetic resonance imaging and dimensional behavioral assessments in a large semilongitudinal cohort of infants and toddlers. In particular, though functional connections spanning the brain are involved in IJA, the strongest brain-behavior associations cluster within connections between a small subset of functional brain networks; namely between the visual network and dorsal attention network and between the visual network and posterior cingulate aspects of the default mode network. These observations mark the earliest known description of how functional brain systems underlie a burgeoning fundamental social behavior, may help improve the design of targeted therapies for neurodevelopmental disorders, and, more generally, elucidate physiological mechanisms essential to healthy social behavior development.
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Affiliation(s)
- Adam T Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN 55455, USA
| | - Eric Feczko
- Department of Behavioral Neuroscience, Oregon Health & Sciences, Portland, OR 97239, USA
| | - Alexandre Todorov
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Sridhar Kandala
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Chloe M Adams
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Abraham Z Snyder
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - John D Lewis
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Annette M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA 98195, USA
| | - Lonnie Zwaigenbaum
- Department of Psychiatry, University of Alberta, 1E1 Walter Mackenzie Health Sciences Centre (WMC), Edmonton, AB T6G 2B7, Canada
| | - Kelly N Botteron
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA.,Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Robert C McKinstry
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO 63110, USA
| | - John N Constantino
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
| | - Alan Evans
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Heather C Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Stephen Dager
- Department of Radiology, University of Washington, Seattle, WA 98195, USA
| | - Sarah J Paterson
- The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - Robert T Schultz
- The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Guido Gerig
- Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA
| | - Samir Das
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Penelope Kostopoulos
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | | | - Bradley L Schlaggar
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110,USA
| | - Steven E Petersen
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110,USA
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA
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15
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C Yuen RK, Merico D, Bookman M, L Howe J, Thiruvahindrapuram B, Patel RV, Whitney J, Deflaux N, Bingham J, Wang Z, Pellecchia G, Buchanan JA, Walker S, Marshall CR, Uddin M, Zarrei M, Deneault E, D'Abate L, Chan AJS, Koyanagi S, Paton T, Pereira SL, Hoang N, Engchuan W, Higginbotham EJ, Ho K, Lamoureux S, Li W, MacDonald JR, Nalpathamkalam T, Sung WWL, Tsoi FJ, Wei J, Xu L, Tasse AM, Kirby E, Van Etten W, Twigger S, Roberts W, Drmic I, Jilderda S, Modi BM, Kellam B, Szego M, Cytrynbaum C, Weksberg R, Zwaigenbaum L, Woodbury-Smith M, Brian J, Senman L, Iaboni A, Doyle-Thomas K, Thompson A, Chrysler C, Leef J, Savion-Lemieux T, Smith IM, Liu X, Nicolson R, Seifer V, Fedele A, Cook EH, Dager S, Estes A, Gallagher L, Malow BA, Parr JR, Spence SJ, Vorstman J, Frey BJ, Robinson JT, Strug LJ, Fernandez BA, Elsabbagh M, Carter MT, Hallmayer J, Knoppers BM, Anagnostou E, Szatmari P, Ring RH, Glazer D, Pletcher MT, Scherer SW. Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder. Nat Neurosci 2017; 20:602-611. [PMID: 28263302 DOI: 10.1038/nn.4524] [Citation(s) in RCA: 505] [Impact Index Per Article: 72.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Accepted: 02/01/2017] [Indexed: 12/13/2022]
Abstract
We are performing whole-genome sequencing of families with autism spectrum disorder (ASD) to build a resource (MSSNG) for subcategorizing the phenotypes and underlying genetic factors involved. Here we report sequencing of 5,205 samples from families with ASD, accompanied by clinical information, creating a database accessible on a cloud platform and through a controlled-access internet portal. We found an average of 73.8 de novo single nucleotide variants and 12.6 de novo insertions and deletions or copy number variations per ASD subject. We identified 18 new candidate ASD-risk genes and found that participants bearing mutations in susceptibility genes had significantly lower adaptive ability (P = 6 × 10-4). In 294 of 2,620 (11.2%) of ASD cases, a molecular basis could be determined and 7.2% of these carried copy number variations and/or chromosomal abnormalities, emphasizing the importance of detecting all forms of genetic variation as diagnostic and therapeutic targets in ASD.
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Affiliation(s)
- Ryan K C Yuen
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Daniele Merico
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Deep Genomics Inc., Toronto, Canada
| | - Matt Bookman
- Google, Mountain View, California, USA.,Verily Life Sciences, South San Francisco, California, USA
| | - Jennifer L Howe
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Bhooma Thiruvahindrapuram
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Rohan V Patel
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Joe Whitney
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Nicole Deflaux
- Google, Mountain View, California, USA.,Verily Life Sciences, South San Francisco, California, USA
| | - Jonathan Bingham
- Google, Mountain View, California, USA.,Verily Life Sciences, South San Francisco, California, USA
| | - Zhuozhi Wang
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Giovanna Pellecchia
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Janet A Buchanan
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Susan Walker
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Christian R Marshall
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Genome Diagnostics, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Canada
| | - Mohammed Uddin
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Mehdi Zarrei
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Eric Deneault
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Lia D'Abate
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Ada J S Chan
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Stephanie Koyanagi
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Tara Paton
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Sergio L Pereira
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Ny Hoang
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Autism Research Unit, The Hospital for Sick Children, Toronto, Canada
| | - Worrawat Engchuan
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Edward J Higginbotham
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Karen Ho
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Sylvia Lamoureux
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Weili Li
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Jeffrey R MacDonald
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Thomas Nalpathamkalam
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Wilson W L Sung
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Fiona J Tsoi
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - John Wei
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Lizhen Xu
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Anne-Marie Tasse
- Public Population Project in Genomics and Society, McGill University, Montreal, Canada
| | - Emily Kirby
- Public Population Project in Genomics and Society, McGill University, Montreal, Canada
| | | | | | - Wendy Roberts
- Autism Research Unit, The Hospital for Sick Children, Toronto, Canada
| | - Irene Drmic
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Autism Research Unit, The Hospital for Sick Children, Toronto, Canada
| | - Sanne Jilderda
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Autism Research Unit, The Hospital for Sick Children, Toronto, Canada
| | - Bonnie MacKinnon Modi
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Autism Research Unit, The Hospital for Sick Children, Toronto, Canada
| | - Barbara Kellam
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada
| | - Michael Szego
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Dalla Lana School of Public Health and the Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Cheryl Cytrynbaum
- Department of Molecular Genetics, University of Toronto, Toronto, Canada.,Dalla Lana School of Public Health and the Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada.,Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, Canada
| | - Rosanna Weksberg
- Department of Molecular Genetics, University of Toronto, Toronto, Canada.,Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, Canada
| | | | - Marc Woodbury-Smith
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Canada
| | - Jessica Brian
- Bloorview Research Institute, University of Toronto, Toronto, Canada.
| | - Lili Senman
- Bloorview Research Institute, University of Toronto, Toronto, Canada.
| | - Alana Iaboni
- Bloorview Research Institute, University of Toronto, Toronto, Canada.
| | | | - Ann Thompson
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Canada
| | - Christina Chrysler
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Canada
| | - Jonathan Leef
- Bloorview Research Institute, University of Toronto, Toronto, Canada.
| | | | - Isabel M Smith
- Departments of Pediatrics and of Psychology &Neuroscience, Dalhousie University and Autism Research Centre, IWK Health Centre, Halifax, Canada
| | - Xudong Liu
- Department of Psychiatry, Queen's University, Kinston, Canada
| | - Rob Nicolson
- Children's Health Research Institute, London, Ontario, Canada.,Western University, London, Ontario, Canada
| | | | | | - Edwin H Cook
- Institute for Juvenile Research, Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Stephen Dager
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Annette Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington, USA
| | - Louise Gallagher
- Department of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Beth A Malow
- Sleep Disorders Division, Department of Neurology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Jeremy R Parr
- Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, UK
| | - Sarah J Spence
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Jacob Vorstman
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Brendan J Frey
- Deep Genomics Inc., Toronto, Canada.,Department of Electrical and Computer Engineering and Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Canada
| | - James T Robinson
- Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Lisa J Strug
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Canada
| | - Bridget A Fernandez
- Disciplines of Genetics and Medicine, Memorial University of Newfoundland and Provincial Medical Genetic Program, Eastern Health, St. John's, Canada
| | | | - Melissa T Carter
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, Canada.,Regional Genetics Program, The Children's Hospital of Eastern Ontario, Ottawa, Canada
| | - Joachim Hallmayer
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, USA
| | | | | | - Peter Szatmari
- Child Youth and Family Services, Centre for Addiction and Mental Health, Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada.,Department of Psychiatry, The Hospital for Sick Children, Toronto, Canada
| | - Robert H Ring
- Department of Pharmacology &Physiology, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
| | - David Glazer
- Google, Mountain View, California, USA.,Verily Life Sciences, South San Francisco, California, USA
| | | | - Stephen W Scherer
- The Centre for Applied Genomics, Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Canada.,McLaughlin Centre, University of Toronto, Toronto, Canada
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16
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Kleinhans NM, Reiter MA, Neuhaus E, Pauley G, Martin N, Dager S, Estes A. Subregional differences in intrinsic amygdala hyperconnectivity and hypoconnectivity in autism spectrum disorder. Autism Res 2015; 9:760-72. [PMID: 26666502 DOI: 10.1002/aur.1589] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Accepted: 11/15/2015] [Indexed: 01/13/2023]
Abstract
The amygdala is a complex structure with distinct subregions and dissociable functional networks. The laterobasal subregion of the amygdala is hypothesized to mediate the presentation and severity of autism symptoms, although very little data are available regarding amygdala dysfunction at the subregional level. In this study, we investigated the relationship between abnormal amygdalar intrinsic connectivity, autism symptom severity, and anxiety and depressive symptoms. We collected resting state fMRI data on 31 high functioning adolescents and adults with autism spectrum disorder and 38 typically developing (TD) controls aged 14-45. Twenty-five participants with ASD and 28 TD participants were included in the final analyses. ASD participants were administered the Autism Diagnostic Interview-Revised and the Autism Diagnostic Observation Schedule. Adult participants were administered the Beck Depression Inventory II and the Beck Anxiety Inventory. Functional connectivity analyses were conducted from three amygdalar subregions: centromedial (CM), laterobasal (LB) and superficial (SF). In addition, correlations with the behavioral measures were tested in the adult participants. In general, the ASD group showed significantly decreased connectivity from the LB subregion and increased connectivity from the CM and SF subregions compared to the TD group. We found evidence that social symptoms are primarily associated with under-connectivity from the LB subregion whereas over-connectivity and under-connectivity from the CM, SF and LB subregions are related to co-morbid depression and anxiety in ASD, in brain regions that were distinct from those associated with social dysfunction, and in different patterns than were observed in mildly symptomatic TD participants. Our findings provide new evidence for functional subregional differences in amygdala pathophysiology in ASD. Autism Res 2016, 9: 760-772. © 2015 International Society for Autism Research, Wiley Periodicals, Inc.
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Affiliation(s)
- Natalia M Kleinhans
- Department of Radiology, University of Washington, Seattle, Washington.,Integrative Brain Imaging Center, University of Washington, Seattle, Washington.,Center on Human Development and Disability, University of Washington, Seattle, Washington.,UW Autism Center, University of Washington, Seattle, Washington
| | - Maya A Reiter
- Department of Radiology, University of Washington, Seattle, Washington.,Integrative Brain Imaging Center, University of Washington, Seattle, Washington
| | - Emily Neuhaus
- UW Autism Center, University of Washington, Seattle, Washington.,Seattle Children's Research Institute, University of Washington, Seattle, Washington
| | - Greg Pauley
- Department of Radiology, University of Washington, Seattle, Washington.,Integrative Brain Imaging Center, University of Washington, Seattle, Washington
| | - Nathalie Martin
- Department of Radiology, University of Washington, Seattle, Washington
| | - Stephen Dager
- Department of Radiology, University of Washington, Seattle, Washington.,Center on Human Development and Disability, University of Washington, Seattle, Washington.,UW Autism Center, University of Washington, Seattle, Washington
| | - Annette Estes
- Department of Speech and Hearing Science, University of Washington, Seattle, Washington.,Center on Human Development and Disability, University of Washington, Seattle, Washington.,UW Autism Center, University of Washington, Seattle, Washington
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17
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Swanson MR, Wolff JJ, Elison JT, Gu H, Hazlett HC, Botteron K, Styner M, Paterson S, Gerig G, Constantino J, Dager S, Estes A, Vachet C, Piven J. Splenium development and early spoken language in human infants. Dev Sci 2015; 20. [PMID: 26490257 DOI: 10.1111/desc.12360] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2014] [Accepted: 08/13/2015] [Indexed: 11/28/2022]
Abstract
The association between developmental trajectories of language-related white matter fiber pathways from 6 to 24 months of age and individual differences in language production at 24 months of age was investigated. The splenium of the corpus callosum, a fiber pathway projecting through the posterior hub of the default mode network to occipital visual areas, was examined as well as pathways implicated in language function in the mature brain, including the arcuate fasciculi, uncinate fasciculi, and inferior longitudinal fasciculi. The hypothesis that the development of neural circuitry supporting domain-general orienting skills would relate to later language performance was tested in a large sample of typically developing infants. The present study included 77 infants with diffusion weighted MRI scans at 6, 12 and 24 months and language assessment at 24 months. The rate of change in splenium development varied significantly as a function of language production, such that children with greater change in fractional anisotropy (FA) from 6 to 24 months produced more words at 24 months. Contrary to findings from older children and adults, significant associations between language production and FA in the arcuate, uncinate, or left inferior longitudinal fasciculi were not observed. The current study highlights the importance of tracing brain development trajectories from infancy to fully elucidate emerging brain-behavior associations while also emphasizing the role of the splenium as a key node in the structural network that supports the acquisition of spoken language.
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Affiliation(s)
- Meghan R Swanson
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA
| | - Jason J Wolff
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA.,Department of Educational Psychology, University of Minnesota, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, USA
| | - Hongbin Gu
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, USA
| | - Heather C Hazlett
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, USA
| | | | - Martin Styner
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, USA.,Department of Computer Science, University of North Carolina at Chapel Hill, USA
| | - Sarah Paterson
- Department of Psychology, Temple University, USA.,Center for Autism Research, The Children's Hospital of Philadelphia, USA
| | - Guido Gerig
- Scientific Computing and Imaging Institute, University of Utah, USA
| | | | - Stephen Dager
- Department of Radiology, University of Washington, USA
| | - Annette Estes
- Department of Speech and Hearing Sciences, University of Washington, USA
| | - Clement Vachet
- Scientific Computing and Imaging Institute, University of Utah, USA
| | - Joseph Piven
- The Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, USA
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18
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Lewis JD, Evans AC, Pruett JR, Botteron K, Zwaigenbaum L, Estes A, Gerig G, Collins L, Kostopoulos P, McKinstry R, Dager S, Paterson S, Schultz RT, Styner M, Hazlett H, Piven J. Network inefficiencies in autism spectrum disorder at 24 months. Transl Psychiatry 2014; 4:e388. [PMID: 24802306 PMCID: PMC4035719 DOI: 10.1038/tp.2014.24] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2013] [Revised: 03/03/2014] [Accepted: 03/08/2014] [Indexed: 02/01/2023] Open
Abstract
Autism spectrum disorder (ASD) is a developmental disorder defined by behavioral symptoms that emerge during the first years of life. Associated with these symptoms are differences in the structure of a wide array of brain regions, and in the connectivity between these regions. However, the use of cohorts with large age variability and participants past the generally recognized age of onset of the defining behaviors means that many of the reported abnormalities may be a result of cascade effects of developmentally earlier deviations. This study assessed differences in connectivity in ASD at the age at which the defining behaviors first become clear. There were 113 24-month-old participants at high risk for ASD, 31 of whom were classified as ASD, and 23 typically developing 24-month-old participants at low risk for ASD. Utilizing diffusion data to obtain measures of the length and strength of connections between anatomical regions, we performed an analysis of network efficiency. Our results showed significantly decreased local and global efficiency over temporal, parietal and occipital lobes in high-risk infants classified as ASD, relative to both low- and high-risk infants not classified as ASD. The frontal lobes showed only a reduction in global efficiency in Broca's area. In addition, these same regions showed an inverse relation between efficiency and symptom severity across the high-risk infants. The results suggest delay or deficits in infants with ASD in the optimization of both local and global aspects of network structure in regions involved in processing auditory and visual stimuli, language and nonlinguistic social stimuli.
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Affiliation(s)
- J D Lewis
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - A C Evans
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - J R Pruett
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - K Botteron
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - L Zwaigenbaum
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada
| | - A Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | - G Gerig
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA
| | - L Collins
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - P Kostopoulos
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - R McKinstry
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - S Dager
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - S Paterson
- Center for Autism Research, University of Pennsylvania, Philadelphia, PA, USA
| | - R T Schultz
- Center for Autism Research, University of Pennsylvania, Philadelphia, PA, USA
| | - M Styner
- Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA
| | - H Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA
| | - J Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA
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19
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Hazlett HC, Gu H, McKinstry RC, Shaw DW, Botteron KN, Dager S, Styner M, Vachet C, Gerig G, Paterson S, Schultz RT, Estes AM, Evans AC, Piven J. Brain volume findings in 6-month-old infants at high familial risk for autism. Am J Psychiatry 2012; 169:601-8. [PMID: 22684595 PMCID: PMC3744332 DOI: 10.1176/appi.ajp.2012.11091425] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Individuals with autism as young as 2 years have been observed to have larger brains than healthy comparison subjects. Studies using head circumference suggest that brain enlargement is a postnatal event that occurs around the latter part of the first year. To the authors' knowledge, no previous brain imaging studies have systematically examined the period prior to age 2. In this study they used magnetic resonance imaging (MRI) to measure brain volume in 6-month-olds at high familial risk for autism. METHOD The Infant Brain Imaging Study (IBIS) is a longitudinal imaging study of infants at high risk for autism. This cross-sectional analysis compared brain volumes at 6 months of age in high-risk infants (N=98) and infants without family members with autism (N=36). MRI scans were also examined for radiologic abnormalities RESULTS No group differences were observed for intracranial, cerebrum, cerebellum, or lateral ventricle volume or for head circumference. CONCLUSIONS The authors did not observe significant group differences for head circumference, brain volume, or abnormalities in radiologic findings from a group of 6-month-old infants at high risk for autism. The authors are unable to conclude that these abnormalities are not present in infants who later go on to receive a diagnosis of autism; rather, abnormalities were not detected in a large group at high familial risk. Future longitudinal studies of the IBIS study group will examine whether brain volume differs in infants who go on to develop autism.
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Affiliation(s)
- Heather Cody Hazlett
- Carolina Institute for Developmental Disabilities and the Department of Psychiatry, University of North Carolina, Chapel Hill, USA.
| | | | | | | | | | | | | | | | - Guido Gerig
- Scientific Computing Institute University of Utah
| | - Sarah Paterson
- Children’s Hospital of Philadelphia, University of Pennsylvania
| | | | | | | | - Joseph Piven
- University of North Carolina,Carolina Institute for Developmental Disabilities
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20
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Rohan M, Parow A, Stoll AL, Demopulos C, Friedman S, Dager S, Hennen J, Cohen BM, Renshaw PF. Low-field magnetic stimulation in bipolar depression using an MRI-based stimulator. Am J Psychiatry 2004; 161:93-8. [PMID: 14702256 DOI: 10.1176/appi.ajp.161.1.93] [Citation(s) in RCA: 84] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Anecdotal reports have suggested mood improvement in patients with bipolar disorder immediately after they underwent an echo-planar magnetic resonance spectroscopic imaging (EP-MRSI) procedure that can be performed within clinical MR system limits. This study evaluated possible mood improvement associated with this procedure. METHOD The mood states of subjects in an ongoing EP-MRSI study of bipolar disorder were assessed by using the Brief Affect Scale, a structured mood rating scale, immediately before and after an EP-MRSI session. Sham EP-MRSI was administered to a comparison group of subjects with bipolar disorder, and actual EP-MRSI was administered to a comparison group of healthy subjects. The characteristics of the electric fields generated by the EP-MRSI scan were analyzed. RESULTS Mood improvement was reported by 23 of 30 bipolar disorder subjects who received the actual EP-MRSI examination, by three of 10 bipolar disorder subjects who received sham EP-MRSI, and by four of 14 healthy comparison subjects who received actual EP-MRSI. Significant differences in mood improvement were found between the bipolar disorder subjects who received actual EP-MRSI and those who received sham EP-MRSI, and, among subjects who received actual EP-MRSI, between the healthy subjects and the bipolar disorder subjects and to a lesser extent between the unmedicated bipolar disorder subjects and the bipolar disorder subjects who were taking medication. The electric fields generated by the EP-MRSI scan were smaller (0.7 V/m) than fields used in repetitive transcranial magnetic stimulation (rTMS) treatment of depression (1-500 V/m) and also extended uniformly throughout the head, unlike the highly nonuniform fields used in rTMS. The EP-MRSI waveform, a 1-kHz train of monophasic trapezoidal gradient pulses, differed from that used in rTMS. CONCLUSIONS These preliminary data suggest that the EP-MRSI scan induces electric fields that are associated with reported mood improvement in subjects with bipolar disorder. The findings are similar to those for rTMS depression treatments, although the waveform used in EP-MRSI differs from that used in rTMS. Further investigation of the mechanism of EP-MRSI is warranted.
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Affiliation(s)
- Michael Rohan
- Brain Imaging Center, McLean Hospital, Belmont, MA 02478, USA.
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21
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Dawson G, Webb S, Schellenberg GD, Dager S, Friedman S, Aylward E, Richards T. Defining the broader phenotype of autism: genetic, brain, and behavioral perspectives. Dev Psychopathol 2003; 14:581-611. [PMID: 12349875 DOI: 10.1017/s0954579402003103] [Citation(s) in RCA: 228] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Achieving progress in understanding the cause, nature, and treatment of autism requires an integration of concepts, approaches, and empirical findings from genetic, cognitive neuroscience, animal, and clinical studies. The need for such integration has been a fundamental tenet of the discipline of developmental psychopathology from its inception. It is likely that the discovery of autism susceptibility genes will depend on the development of dimensional measures of broader phenotype autism traits. It is argued that knowledge of the cognitive neuroscience of social and language behavior will provide a useful framework for defining such measures. In this article, the current state of knowledge of the cognitive neuroscience of social and language impairments in autism is reviewed. Following from this, six candidate broader phenotype autism traits are proposed: (a) face processing, including structural encoding of facial features and face movements, such as eye gaze; (b) social affiliation or sensitivity to social reward, pertaining to the social motivational impairments found in autism; (c) motor imitation ability, particularly imitation of body actions; (d) memory, specifically those aspects of memory mediated by the medial temporal lobe-prefrontal circuits; (e) executive function, especially planning and flexibility; and (f) Language ability, particularly those aspects of language that overlap with specific language impairment, namely, phonological processing.
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Affiliation(s)
- Geraldine Dawson
- Center of Human Development and Disability, University of Washington, Seattle 98195, USA
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22
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Seraji-Bozorgzad N, Moore G, Tancer M, Dager S, Posse S. Hyperventilation strongly reduces bold contrast in motor, visual and auditory cortices. Neuroimage 2001. [DOI: 10.1016/s1053-8119(01)91586-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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23
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Richards T, Corina DP, Serafini S, Steury K, Echelard DR, Dager S, Abbott R, Maravilla KR, Berninger V. Functional MRI and functional MR spectroscopic imaging of dyslexia. Neuroimage 2000. [DOI: 10.1016/s1053-8119(00)91057-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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24
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Abstract
Hypocapnia due to hyperventilation reduces cerebral blood flow and volume. To investigate the effects of hyperventilation on the regional signal response to visual activation using blood oxygenation level-dependent (BOLD) magnetic resonance imaging (MRI), six volunteers were investigated during visual stimulation under normocapnia and hypocapnia conditions. Hyperventilation significantly decreased in visual cortex the BOLD MRI response to visual stimulation (3.97+/-0.5% [mean ( SD) in normocapnia vs. 0.77+/-0.7% in hypocapnia, P < 0.01]. In three of six subjects, functional signal changes were reduced to noise level. The reduced stimulus response during hyperventilation is probably due to a decreased overshoot in the blood oxygenation response. These results indicate that BOLD-contrast functional MRI is highly sensitive to pCO2 changes.
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Affiliation(s)
- M Weckesser
- Institute of Medicine, Research Center Jülich, Germany. m.weckesser(fz-juelich.de
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25
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Roy-Byrne P, Wingerson D, Cowley D, Dager S. Psychopharmacologic treatment of panic, generalized anxiety disorder, and social phobia. Psychiatr Clin North Am 1993; 16:719-35. [PMID: 8309809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
The anxiety disorders discussed in this article are common, affecting 5% to 10% of the general population. They may cause significant distress and disability and are often complicated by substance abuse and depression. Fortunately, these disorders can be treated successfully in the majority of patients, with alleviation of the most distressing symptoms and significant improvement in occupational and social functioning. Systematic research studies during the past decade have identified both specific medication-responsive anxiety syndromes and a variety of psychopharmacologic agents effective in their management. Psychopharmacologic treatment, often in combination with cognitive-behavioral therapies, can be tailored for the individual patient based on that patient's specific anxiety syndrome, comorbid disorders, and vulnerability to side effects. Careful monitoring of target symptoms can be used to assess the efficacy of treatment. Future research will help to develop new classes of antianxiety agents for currently treatment-resistant patients, and to investigate further the necessary duration of psychopharmacologic treatment.
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Affiliation(s)
- P Roy-Byrne
- Department of Psychiatry and Behavioral Sciences, Harborview Medical Center, Seattle, Washington
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Wingerson D, Sullivan M, Dager S, Flick S, Dunner D, Roy-Byrne P. Personality traits and early discontinuation from clinical trials in anxious patients. J Clin Psychopharmacol 1993; 13:194-7. [PMID: 8102621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Patients who discontinue early from clinical trials frequently give ambiguous or no reasons for leaving the study. Using Cloniger's Tridimensional Personality Questionnaire, we examined the potential role of personality traits in early discontinuation in patients with panic disorder and generalized anxiety disorder. Early dropouts and completers were comparable at baseline on demographic and clinical variables but differed significantly on the Tridimensional Personality Questionnaire. For panic disorder and generalized anxiety disorder patients combined, early dropouts scored higher on total novelty seeking, as well as on the novelty-seeking traits of both disorderliness/dislike of regimentation and impulsiveness. There was no significant interaction between dropout status and diagnosis for this finding, indicating it applied equally to both groups. This study suggests that personality traits involving novelty seeking may contribute to early discontinuation from clinical trials, independent of side effects, lack of efficacy, or at baseline, significantly worse symptoms of anxiety.
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Affiliation(s)
- D Wingerson
- Center For Anxiety and Depression, University of Washington School of Medicine, Seattle
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Abstract
We have retrospectively analyzed the results of the pooled data from three 6-week placebo controlled double blind phase III clinical trials, initially designed to assess the efficacy of newer antidepressants, in order to study the relationship of early onset improvement with later outcome in 145 depressed outpatients receiving placebo (n = 98) or imipramine (n = 47). The early onset response was seen in a subgroup of subjects receiving either imipramine or placebo and appeared to be independent of treatment assignment. Furthermore, the early onset response predicted outcome for the duration of the trial and was not selective as defined by specific changes in subscales measuring insomnia, anxiety or endogenous features. Exclusion of early onset responders resulted in the augmentation of the difference in outcome with drug and placebo. We recommend that future placebo controlled trials assessing therapeutic efficacy of active treatments in depressed outpatients take into account the early onset response in the analysis of results.
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Affiliation(s)
- A Khan
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle
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