Greater functional connectivity between sensory networks is related to symptom severity in toddlers with autism spectrum disorder

被引:32
作者
Chen, Bosi [1 ,2 ]
Linke, Annika [1 ]
Olson, Lindsay [1 ,2 ]
Ibarra, Cynthia [1 ]
Reynolds, Sarah [1 ]
Mueller, Ralph-Axel [1 ,2 ]
Kinnear, Mikaela [1 ]
Fishman, Inna [1 ,2 ]
机构
[1] San Diego State Univ, Dept Psychol, Brain Dev Imaging Labs, San Diego, CA 92182 USA
[2] San Diego State Univ Univ Calif San Diego Joint D, San Diego, CA USA
基金
美国国家卫生研究院;
关键词
Brain networks; functional connectivity; early childhood; autism spectrum disorders; neuroimaging; RESTING-STATE NETWORKS; HUMAN BRAIN; YOUNG-CHILDREN; MRI DATA; INFANTS; INTEGRATION; ARCHITECTURE; LANGUAGE; LIFE; RISK;
D O I
10.1111/jcpp.13268
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
Background Symptoms of autism spectrum disorder (ASD) emerge in the first years of life. Yet, little is known about the organization and development of functional brain networks in ASD proximally to the symptom onset. Further, the relationship between brain network connectivity and emerging ASD symptoms and overall functioning in early childhood is not well understood. Methods Resting-state fMRI data were acquired during natural sleep from 24 young children with ASD and 23 typically developing (TD) children, aged 17-45 months. Intrinsic functional connectivity (iFC) within and between resting-state functional networks was derived with independent component analysis (ICA). Results Increased iFC between visual and sensorimotor networks was found in young children with ASD compared to TD participants. Within the ASD group, the degree of overconnectivity between visual and sensorimotor networks was associated with greater autism symptoms. Age-related weakening of the visual-auditory between-network connectivity was observed in the ASD but not the TD group. Conclusions Taken together, these results provide evidence for disrupted functional network maturation and differentiation, particularly involving visual and sensorimotor networks, during the first years of life in ASD. The observed pattern of greater visual-sensorimotor between-network connectivity associated with poorer clinical outcomes suggests that disruptions in multisensory brain circuitry may play a critical role for early development of behavioral skills and autism symptomatology in young children with ASD.
引用
收藏
页码:160 / 170
页数:11
相关论文
共 80 条
[1]  
American Psychiatric Association, 2022, Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), V5th
[2]  
[Anonymous], 1995, MULLEN SCALES EARLY
[3]   Hyporesponsiveness to social and nonsocial sensory stimuli in children with autism, children with developmental delays, and typically developing children [J].
Baranek, Grace T. ;
Watson, Linda R. ;
Boyd, Brian A. ;
Poe, Michele D. ;
David, Fabian J. ;
McGuire, Lorin .
DEVELOPMENT AND PSYCHOPATHOLOGY, 2013, 25 (02) :307-320
[4]   Behavioral, perceptual, and neural alterations in sensory and multisensory function in autism spectrum disorder [J].
Baum, Sarah H. ;
Stevenson, Ryan A. ;
Wallace, Mark T. .
PROGRESS IN NEUROBIOLOGY, 2015, 134 :140-160
[5]   Modelling with independent components [J].
Beckmann, Christian F. .
NEUROIMAGE, 2012, 62 (02) :891-901
[6]   A component based noise correction method (CompCor) for BOLD and perfusion based fMRI [J].
Behzadi, Yashar ;
Restom, Khaled ;
Liau, Joy ;
Liu, Thomas T. .
NEUROIMAGE, 2007, 37 (01) :90-101
[7]   A method for making group inferences from functional MRI data using independent component analysis [J].
Calhoun, VD ;
Adali, T ;
Pearlson, GD ;
Pekar, JJ .
HUMAN BRAIN MAPPING, 2001, 14 (03) :140-151
[8]   Large-Scale Use of the Modified Checklist for Autism in Low-Risk Toddlers [J].
Chlebowski, Colby ;
Robins, Diana L. ;
Barton, Marianne L. ;
Fein, Deborah .
PEDIATRICS, 2013, 131 (04) :E1121-E1127
[9]  
Christensen Deborah L, 2018, MMWR Surveill Summ, V65, P1, DOI [10.15585/mmwr.ss6503a1, 10.15585/mmwr.ss6513a1]
[10]   Network Over-Connectivity Differentiates Autism Spectrum Disorder from Other Developmental Disorders in Toddlers: A Diffusion MRI Study [J].
Conti, E. ;
Mitra, J. ;
Calderoni, S. ;
Pannek, K. ;
Shen, K. K. ;
Pagnozzi, A. ;
Rose, S. ;
Mazzotti, S. ;
Scelfo, D. ;
Tosetti, M. ;
Muratori, F. ;
Cioni, G. ;
Guzzetta, A. .
HUMAN BRAIN MAPPING, 2017, 38 (05) :2333-2344