Cortical and subcortical brain morphometry differences between patients with autism spectrum disorders (ASD) and healthy individuals across the lifespan: results from the ENIGMA-ASD working group
Cortical and subcortical brain morphometry differences between patients with autism spectrum disorders (ASD) and healthy individuals across the lifespan: results from the ENIGMA-ASD working group
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2017
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通讯作者:
D. Rooij;E. Anagnostou;C. Arango;G. Auzias;M. Behrmann;Sara;Calderoni;E. Daly;C. Deruelle;Adriana Dimartino;I. Dinstein;S. Durston;C. Ecker;D. Fair;Jennifer Fedor;J. Fitzgerald;C. Freitag;L. Gallagher;I. Gori;Shlomi Haar;Liesbeth Hoekstra;N. Jahanshad;María;Jalbrzikowski;J. Janssen;J. Lerch;B. Luna;J. McGrath;F. Muratori;C. Murphy;D. Murphy;K. O'Hearn;B. Oranje;M. Parellada;A. Retico;Pedro Rossa;K. Rubia;Devon A. Shook;Margot J. Taylor;M. Paul;Thompson;M. Tosetti;G. Wallace;Fengfeng Zhou;J. Buitelaar
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作者:
D. Rooij;E. Anagnostou;C. Arango;G. Auzias;M. Behrmann;Sara;Calderoni;E. Daly;C. Deruelle;Adriana Dimartino;I. Dinstein;S. Durston;C. Ecker;D. Fair;Jennifer Fedor;J. Fitzgerald;C. Freitag;L. Gallagher;I. Gori;Shlomi Haar;Liesbeth Hoekstra;N. Jahanshad;María;Jalbrzikowski;J. Janssen;J. Lerch;B. Luna;J. McGrath;F. Muratori;C. Murphy;D. Murphy;K. O'Hearn;B. Oranje;M. Parellada;A. Retico;Pedro Rossa;K. Rubia;Devon A. Shook;Margot J. Taylor;M. Paul;Thompson;M. Tosetti;G. Wallace;Fengfeng Zhou;J. Buitelaar
Objective : Neuroimaging studies show structural differences in both cortical and subcortical brain regions in children and adults with autism spectrum disorders (ASD), compared to controls. Findings are inconsistent, however, and it is unclear how differences develop across the lifespan. We aimed to investigate brain morphometry differences between participants with ASD and controls cross-sectionally across the lifespan, in a large worldwide sample from the ENIGMA-ASD Working Group. Methods : The sample comprised 1571 patients with ASD and 1651 healthy controls from 49 participating sites (age range: 2-64 years). MRI scans were preprocessed at individual sites with a harmonized protocol based on validated, automated segmentation software. Mega-analyses were used to test for case-control differences in subcortical volumes, cortical thickness and surface area. Development of brain morphometry over the lifespan was modeled using a fractional polynomial approach. Results : The case-control mega-analysis demonstrated that ASD was associated with smaller subcortical volumes of the pallidum, putamen, amygdala and nucleus accumbens (effect sizes d=0.11 to d=0.16), as well as increased cortical thickness in the frontal cortex and decreased thickness in the temporal cortex (effect sizes d=0.20 to d=-0.21). Analyses of age effects indicate that the development of cortical thickness is altered in ASD, with the largest differences occurring around adolescence. No age by ASD interactions were observed in the subcortical partitions. Conclusions : The ENIGMA-ASD working group provides the largest study of brain morphometry differences in ASD to date, using a well-established and validated publicly available analysis pipeline. ASD subjects showed altered morphometry in the cognitive and affective parts of the striatum, frontal cortex and temporal cortex. Complex developmental trajectories were observed for the different regions, with a developmental peak around adolescence. Our findings suggest an interplay in the abnormal development of the striatal, frontal and temporal regions in ASD across the lifespan. conclude, this study showed the abnormal development of cortical thickness and subcortical volumes in ASD in the largest sample to date, as obtained by the ENIGMA-ASD working group. We observed smaller volumes of putamen, amygdala, nucleus accumbens and pallidum, increased frontal cortical thickness and decreased temporal cortical thickness in ASD compared to controls. Our age analyses, show that subcortical differences in ASD remain relatively stable over the lifespan, whilst cortical alterations in ASD show a peak in childhood and early adolescence, and taper off over adulthood. Future functional activation and resting-state connectivity studies will want to take into account these differences in maturation, and focus on unraveling how the balance between frontal, temporal and subcortical alterations influences the expression of the ASD phenotype across the lifespan. No differences in the development of brain morphometry was observed between males and females with ASD.