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001-es BibID:BIBFORM039398
Első szerző:Jakab András (radiológus)
Cím:Pathological patterns of functional and structural brain connectivity in high functioning autistic adults / Jakab A., Spisák T., Szeman-Nagy A., Dobrai D., Molnar P., Berényi E., Emri M.
Dátum:2012
ISSN:0968-5243
Megjegyzések:Purpose/Introduction: High level functioning autism (HLFA) is a distinctentity among autism spectrum disorders (ASD) characterized by autistic traitsunaccompanied by mental retardation. Our aim was to employ resting statefunctional MRI (r-fMRI) and diffusion tensor imaging (DTI) augmentedwith a graph theoretical approach to describe the pathological connectomein HLFA subjects.Subjects and Methods: Subjects were sampled from the a public dataset(n=209). Inclusion criteria for the HLFA group were adult age, elevated AutismSpectrum Questionaire (ASSQ) values and a marked discrepancy between theperformance IQ and verbal IQ measurements, 9 such subjects were found.Controls (n=40) with normal ASSQ values were age and gender matched tothis group while preserving the criteria of the IQ mismatch. Using the func-tional connectivity of r-fMRI data, individual graphs were created. For eachbrain region, network properties (strength, efficiency) were calculated. DTIwas used to determine the diffusion anisotropy in cortical, subcortical andmajor white matter regions.Results: Anisotropy patterns were characterized by significantly elevated valuespredominantly in frontal, temporal regions, gyrus cinguli and the thalamus.Graph analysis revealed reduced local efficiency and strength of the associ-ated networks with a pattern similar to DTI results. No differences in globalnetwork parameters were found.Discussion/Conclusion: A widely accepted hypothesis is that the autisticconnectome is dominated by a reduction of long-range cortico-cortical con-nections and an excessive presence of short fibers. We provided a comparisonof local attributes of structural and functional connectivity. The spatial distribution of the HLFA connectome phenotype is in accordance with previouslysuggested models.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idézhető absztrakt
Megjelenés:Magnetic Resonance Materials In Physics Biology And Medicine 25 : S1 (2012), p. 27. -
További szerzők:Spisák Tamás (1986-) (programtervező matematikus, informatikus) Szemán-Nagy Anita (1979-) (pszichológus, klinikai szakpszichológus) Dobrai Dániel Molnár Péter (1942-2022) (orvos, klinikai szakpszichológus, pszichoterapeuta) Berényi Ervin (1964-) (radiológus) Emri Miklós (1962-) (fizikus)
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