Journal of the American Academy of Child & Adolescent Psychiatry
New researchSensory-to-Cognitive Systems Integration Is Associated With Clinical Severity in Autism Spectrum Disorder
Section snippets
Sample Description
We examined a subsample of the aggregated multisite dataset provided by the ABIDE I (http://fcon_1000.projects.nitrc.org/indi/abide/abide_I.html) and ABIDE II (http://fcon_1000.projects.nitrc.org/indi/abide/abide_II.html) initiatives. The ABIDE I repository consists of 1,112 data sets including 539 patients with ASD and 573 HC. ABIDE II was established to further promote discovery science on the brain connectome in ASD. The ABIDE II repository consists of 1,114 data sets including 521 patients
Stepwise Functional Connectivity Maps in HC and ASD
Figure 2 shows the right hemisphere SFC maps for the HC and ASD groups (Figure S2, available online, includes left hemispheres SFC maps). Overall, HC and ASD displayed similar connectivity streams at early link-step distances. At one and two link-step distances, both groups showed functional connectivity among unimodal sensory systems. However, there was a qualitative difference at the third link-step distance between the statistical maps computed for the ASD and HC groups. Compared to the HC
Discussion
In the current study, we used stepwise functional connectivity analysis to characterize the connectivity paths that link primary sensory cortices to higher-order brain cognitive functional circuits in ASD and evaluate whether abnormalities in network integration relate to clinical severity. We found atypical functional transitions from unimodal to multimodal cortical areas in high-functioning male children and adolescents with ASD compared to HC individuals. Specifically, abnormal functional
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The sensory-first account of autism
2023, Neuroscience and Biobehavioral ReviewsDiagnosis-informed connectivity subtyping discovers subgroups of autism with reproducible symptom profiles
2022, NeuroImageCitation Excerpt :First, which neuroimaging features would capture the main biological variability of autism is unclear, especially for those in functional magnetic resonance imaging (fMRI). Indeed, while numerous features have been proposed to reveal FC patterns specific to ASD (Maximo et al., 2013; Martínez et al., 2020; Cardinale et al., 2013), our understanding of atypical organization of functional brain systems in this condition remains incomplete. Notably, however, an emerging literature has reported a utility of dimensionality reduction techniques to represent large-scale FC as a series of low-dimensional spatial axes, each visualizing smoothly changing connectome transition along the cortical mantle (Margulies et al., 2016).
Dr. Martínez and Ms. Martínez-García are co-first authors of this article. Drs. Sepulcre and Carmona are co-last authors of this article.
This work was supported by the Spanish Ministry of Science, Innovation and Universities, Instituto de Salud Carlos III (PI14/0210; PIE16/00055; PI17/00819; PI17/01997; FI18/00255; CP16/00096; PI17/00064), co-financed by ERDF Funds from the European Commission, “A way of making Europe”, CIBERSAM, European Union Structural Funds and European Union Seventh Framework Program and H2020 Program under the Innovative Medicines Initiative 2 Joint Undertaking (grant agreement No 777394, Project AIMS-2-TRIALS), ERA-NET NEURON (Network of European Funding for Neuroscience Research), Fundación Familia Alonso, Fundación Alicia Koplowitz, and Fundación Mutua Madrileña.
Disclosure: Drs. Martínez, Janssen, Castellanos, Pretus, Villarroya, Pina-Camacho, Díaz-Caneja, Parellada, Arango, Desco, Sepulcre, and Carmona, Ms. Martínez-García, and Mr. Marcos-Vidal have reported no biomedical financial interests or potential conflicts of interest.