BACKGROUND: Models of autism spectrum disorders (ASD) as neural disconnection syndromes have been predominantly supported by examinations of abnormalities in corticocortical networks in adults with autism. A broader body of research implicates subcortical structures, particularly the striatum, in the physiopathology of autism. Resting state functional magnetic resonance imaging has revealed detailed maps of striatal circuitry in healthy and psychiatric populations and vividly captured maturational changes in striatal circuitry during typical development. METHODS: Using resting state functional magnetic resonance imaging, we examined striatal functional connectivity (FC) in 20 children with ASD and 20 typically developing children between the ages of 7.6 and 13.5 years. Whole-brain voxelwise statistical maps quantified within-group striatal FC and between-group differences for three caudate and three putamen seeds for each hemisphere. RESULTS: Children with ASD mostly exhibited prominent patterns of ectopic striatal FC (i.e., functional connectivity present in ASD but not in typically developing children), with increased functional connectivity between nearly all striatal subregions and heteromodal associative and limbic cortex previously implicated in the physiopathology of ASD (e.g., insular and right superior temporal gyrus). Additionally, we found striatal functional hyperconnectivity with the pons, thus expanding the scope of functional alterations implicated in ASD. Secondary analyses revealed ASD-related hyperconnectivity between the pons and insula cortex. CONCLUSIONS: Examination of FC of striatal networks in children with ASD revealed abnormalities in circuits involving early developing areas, such as the brainstem and insula, with a pattern of increased FC in ectopic circuits that likely reflects developmental derangement rather than immaturity of functional circuits.
BACKGROUND: Models of autism spectrum disorders (ASD) as neural disconnection syndromes have been predominantly supported by examinations of abnormalities in corticocortical networks in adults with autism. A broader body of research implicates subcortical structures, particularly the striatum, in the physiopathology of autism. Resting state functional magnetic resonance imaging has revealed detailed maps of striatal circuitry in healthy and psychiatric populations and vividly captured maturational changes in striatal circuitry during typical development. METHODS: Using resting state functional magnetic resonance imaging, we examined striatal functional connectivity (FC) in 20 children with ASD and 20 typically developing children between the ages of 7.6 and 13.5 years. Whole-brain voxelwise statistical maps quantified within-group striatal FC and between-group differences for three caudate and three putamen seeds for each hemisphere. RESULTS:Children with ASD mostly exhibited prominent patterns of ectopic striatal FC (i.e., functional connectivity present in ASD but not in typically developing children), with increased functional connectivity between nearly all striatal subregions and heteromodal associative and limbic cortex previously implicated in the physiopathology of ASD (e.g., insular and right superior temporal gyrus). Additionally, we found striatal functional hyperconnectivity with the pons, thus expanding the scope of functional alterations implicated in ASD. Secondary analyses revealed ASD-related hyperconnectivity between the pons and insula cortex. CONCLUSIONS: Examination of FC of striatal networks in children with ASD revealed abnormalities in circuits involving early developing areas, such as the brainstem and insula, with a pattern of increased FC in ectopic circuits that likely reflects developmental derangement rather than immaturity of functional circuits.
Authors: J N Giedd; J Blumenthal; N O Jeffries; F X Castellanos; H Liu; A Zijdenbos; T Paus; A C Evans; J L Rapoport Journal: Nat Neurosci Date: 1999-10 Impact factor: 24.884
Authors: Kevin A Pelphrey; James P Morris; Charles R Michelich; Truett Allison; Gregory McCarthy Journal: Cereb Cortex Date: 2005-03-02 Impact factor: 5.357
Authors: Clare Kelly; Greig de Zubicaray; Adriana Di Martino; David A Copland; Philip T Reiss; Donald F Klein; F Xavier Castellanos; Michael P Milham; Katie McMahon Journal: J Neurosci Date: 2009-06-03 Impact factor: 6.167
Authors: Marcel Adam Just; Vladimir L Cherkassky; Timothy A Keller; Rajesh K Kana; Nancy J Minshew Journal: Cereb Cortex Date: 2006-06-13 Impact factor: 5.357
Authors: Adriana Di Martino; Zarrar Shehzad; Clare Kelly; Amy Krain Roy; Dylan G Gee; Lucina Q Uddin; Kristin Gotimer; Donald F Klein; F Xavier Castellanos; Michael P Milham Journal: Am J Psychiatry Date: 2009-07-15 Impact factor: 18.112
Authors: Laura Pina-Camacho; Sonia Villero; David Fraguas; Leticia Boada; Joost Janssen; Francisco J Navas-Sánchez; Maria Mayoral; Cloe Llorente; Celso Arango; Mara Parellada Journal: J Autism Dev Disord Date: 2012-07
Authors: Enrico Glerean; Raj K Pan; Juha Salmi; Rainer Kujala; Juha M Lahnakoski; Ulrika Roine; Lauri Nummenmaa; Sami Leppämäki; Taina Nieminen-von Wendt; Pekka Tani; Jari Saramäki; Mikko Sams; Iiro P Jääskeläinen Journal: Hum Brain Mapp Date: 2015-12-21 Impact factor: 5.038
Authors: Zarrar Shehzad; Clare Kelly; Philip T Reiss; R Cameron Craddock; John W Emerson; Katie McMahon; David A Copland; F Xavier Castellanos; Michael P Milham Journal: Neuroimage Date: 2014-02-28 Impact factor: 6.556
Authors: Zengjian Wang; Xiaoyun Wang; Jian Liu; Jun Chen; Xian Liu; Guangning Nie; Kristen Jorgenson; Ki Cheul Sohn; Ruiwang Huang; Ming Liu; Bo Liu; Jian Kong Journal: J Psychiatr Res Date: 2016-09-16 Impact factor: 4.791
Authors: Archana Venkataraman; Daniel Y-J Yang; Kevin A Pelphrey; James S Duncan Journal: IEEE Trans Med Imaging Date: 2016-03-02 Impact factor: 10.048