| Attributes | Values |
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| rdf:type
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| Description
| - The aim of our study was to subcategorize Autistic Spectrum Disorders (ASD) using a multidisciplinary approach. Sixty four autistic patients (mean age 9.45.6 years) were entered into a cluster analysis. The clustering analysis was based on MRI data. The clusters obtained did not differ significantly in the overall severity of autistic symptomatology as measured by the total score on the Childhood Autism Rating Scale (CARS). The clusters could be characterized as showing significant differences: Cluster 1: showed the largest sizes of the genu and splenium of the corpus callosum (CC), the lowest pregnancy order and the lowest frequency of facial dysmorphic features. Cluster 2: showed the largest sizes of the amygdala and hippocampus (HPC), the least abnormal visual response on the CARS, the lowest frequency of epilepsy and the least frequent abnormal psychomotor development during the first year of life. Cluster 3: showed the largest sizes of the caput of the nucleus caudatus (NC), the smallest sizes...
- The aim of our study was to subcategorize Autistic Spectrum Disorders (ASD) using a multidisciplinary approach. Sixty four autistic patients (mean age 9.45.6 years) were entered into a cluster analysis. The clustering analysis was based on MRI data. The clusters obtained did not differ significantly in the overall severity of autistic symptomatology as measured by the total score on the Childhood Autism Rating Scale (CARS). The clusters could be characterized as showing significant differences: Cluster 1: showed the largest sizes of the genu and splenium of the corpus callosum (CC), the lowest pregnancy order and the lowest frequency of facial dysmorphic features. Cluster 2: showed the largest sizes of the amygdala and hippocampus (HPC), the least abnormal visual response on the CARS, the lowest frequency of epilepsy and the least frequent abnormal psychomotor development during the first year of life. Cluster 3: showed the largest sizes of the caput of the nucleus caudatus (NC), the smallest sizes... (en)
- Cílem naší studie bylo dále kategorizovat poruchy autistického spektra (ASD) s použitím multidisciplinárního přístupu. Šedesát čtyři autistických pacientů (průměrný věk 9.45.6 let) bylo analyzováno shlukovou analýzou. Shluková analýza byla založena na datech z MRI. Získané shluky se nelišily významně v celkové závažnosti autistické symptomatologie měřené pomocí celkového skóru v Childhood Autism Rating Scale (CARS). Shluky lze charakterizovat na základě významných rozdílů: Shluk 1: vykazoval největší rozměry genu a splenia v corpus callosum (CC), nejnižší pořadí těhotenství a nejnižší frekvenci dysmorfních rysů tváře. Shluk 2: vykazoval největší velikosti amygdaly a hippocampu (HPC), nejméně abnormální visuální odpovědi v CARS, nejnižší četnost epilepsie a nejméně častý abnormální psychomotorický vývoj v prvním roce života. Shluk 3: vykazoval největší velikosti caput v nucleus caudatus (NC), nejmenší velikosti HPC a dysmorfní rysy tváře byly vždy přítomny. Shluk 4: vykazoval nejmenší velikosti gen... (cs)
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| Title
| - Subtypes of autism by cluster analysis based on structural MRI data
- Subtypes of autism by cluster analysis based on structural MRI data (en)
- Subtypy autismu získané shlukovou analýzou dat ze strukturní MRI (cs)
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| skos:prefLabel
| - Subtypes of autism by cluster analysis based on structural MRI data
- Subtypes of autism by cluster analysis based on structural MRI data (en)
- Subtypy autismu získané shlukovou analýzou dat ze strukturní MRI (cs)
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| skos:notation
| - RIV/68081740:_____/05:00325597!RIV09-AV0-68081740
|
| http://linked.open...avai/riv/aktivita
| |
| http://linked.open...avai/riv/aktivity
| - P(NF6299), Z(AV0Z70250504), Z(MZ000064203)
|
| http://linked.open...iv/cisloPeriodika
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/68081740:_____/05:00325597
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| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - childhood autism; pervasive developmental disorders; subtyping (en)
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| http://linked.open.../riv/klicoveSlovo
| |
| http://linked.open...odStatuVydavatele
| - DE - Spolková republika Německo
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| http://linked.open...ontrolniKodProRIV
| |
| http://linked.open...i/riv/nazevZdroje
| - European Child & Adolescent Psychiatry
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| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
| |
| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...vavai/riv/projekt
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...v/svazekPeriodika
| |
| http://linked.open...iv/tvurceVysledku
| - Blatný, Marek
- Urbánek, Tomáš
- Sedláček, Z.
- Dudová, I.
- Hrdlička, M.
- Lisý, J.
- Komárek, V.
- Beranová, I.
- Neuwirth, J.
- Faladová, L.
- Belšan, T.
- Havlovicová, M.
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| http://linked.open...ain/vavai/riv/wos
| |
| http://linked.open...n/vavai/riv/zamer
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| issn
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| number of pages
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| is http://linked.open...avai/riv/vysledek
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