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Auteur Kelly L. COBURN |
Documents disponibles écrits par cet auteur (2)
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Amplitude of low frequency fluctuations during resting state fMRI in autistic children / Kelly L. COBURN ; Meagan E. BECKERSON ; Rajesh K. KANA in Autism Research, 16-1 (January 2023)
[article]
Titre : Amplitude of low frequency fluctuations during resting state fMRI in autistic children Type de document : Texte imprimé et/ou numérique Auteurs : Kelly L. COBURN, Auteur ; Meagan E. BECKERSON, Auteur ; Rajesh K. KANA, Auteur Article en page(s) : p.84-98 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Resting state fMRI (rs-fMRI) provides an excellent platform for examining the amplitude of low frequency fluctuations (ALFF) and fractional amplitude of low frequency fluctuations (fALFF), which are key indices of brain functioning. However, ALFF and fALFF have been used only sporadically to study autism. rs-fMRI data from 69 children (40 autistic, mean age = 8.47 Â+ 2.20 years; age range: 5.2 to 13.2; and 29 non-autistic, mean age = 9.02 Â+ 1.97 years; age range 5.9 to 12.9) were obtained from the Autism Brain Imaging Data Exchange (ABIDE II). ALFF and fALFF were measured using CONN connectivity toolbox and SPM12, at whole-brain & network-levels. A two-sampled t-test and a 2 Group (autistic, non-autistic) × 7 Networks ANOVA were conducted to test group differences in ALFF and fALFF. The whole-brain analysis identified significantly reduced ALFF values for autistic participants in left parietal opercular cortex, precuneus, and right insula. At the network level, there was a significant effect of diagnostic group and brain network on ALFF values, and only significant effect of network, not group, on fALFF values. Regression analyses indicated a significant effect of age on ALFF values of certain networks in autistic participants. Such intrinsically different network-level responses in autistic participants may have implications for task-level recruitment and synchronization of brain areas, which may in turn impact optimal cognitive functioning. Moreover, differences in low frequency fluctuations of key networks, such as the DMN and SN, may underlie alterations in brain responses in autism that are frequently reported in the literature. En ligne : https://doi.org/10.1002/aur.2846 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492
in Autism Research > 16-1 (January 2023) . - p.84-98[article] Amplitude of low frequency fluctuations during resting state fMRI in autistic children [Texte imprimé et/ou numérique] / Kelly L. COBURN, Auteur ; Meagan E. BECKERSON, Auteur ; Rajesh K. KANA, Auteur . - p.84-98.
Langues : Anglais (eng)
in Autism Research > 16-1 (January 2023) . - p.84-98
Index. décimale : PER Périodiques Résumé : Abstract Resting state fMRI (rs-fMRI) provides an excellent platform for examining the amplitude of low frequency fluctuations (ALFF) and fractional amplitude of low frequency fluctuations (fALFF), which are key indices of brain functioning. However, ALFF and fALFF have been used only sporadically to study autism. rs-fMRI data from 69 children (40 autistic, mean age = 8.47 Â+ 2.20 years; age range: 5.2 to 13.2; and 29 non-autistic, mean age = 9.02 Â+ 1.97 years; age range 5.9 to 12.9) were obtained from the Autism Brain Imaging Data Exchange (ABIDE II). ALFF and fALFF were measured using CONN connectivity toolbox and SPM12, at whole-brain & network-levels. A two-sampled t-test and a 2 Group (autistic, non-autistic) × 7 Networks ANOVA were conducted to test group differences in ALFF and fALFF. The whole-brain analysis identified significantly reduced ALFF values for autistic participants in left parietal opercular cortex, precuneus, and right insula. At the network level, there was a significant effect of diagnostic group and brain network on ALFF values, and only significant effect of network, not group, on fALFF values. Regression analyses indicated a significant effect of age on ALFF values of certain networks in autistic participants. Such intrinsically different network-level responses in autistic participants may have implications for task-level recruitment and synchronization of brain areas, which may in turn impact optimal cognitive functioning. Moreover, differences in low frequency fluctuations of key networks, such as the DMN and SN, may underlie alterations in brain responses in autism that are frequently reported in the literature. En ligne : https://doi.org/10.1002/aur.2846 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492 Brief Report: Visuospatial and Spoken Language Recall in Autism: Preliminary Findings / Kelly L. COBURN in Journal of Autism and Developmental Disorders, 52-6 (June 2022)
[article]
Titre : Brief Report: Visuospatial and Spoken Language Recall in Autism: Preliminary Findings Type de document : Texte imprimé et/ou numérique Auteurs : Kelly L. COBURN, Auteur ; Diane L. WILLIAMS, Auteur Article en page(s) : p.2831-2837 Langues : Anglais (eng) Mots-clés : Autism Communication Multimodal Recall Spoken language Visuospatial Index. décimale : PER Périodiques Résumé : Challenges to verbal encoding may affect the ability of autistic individuals to express their ideas. Therefore, visuospatial expression may represent a person's knowledge and skills more accurately than spoken language. To test this hypothesis, we asked seven autistic adults to linguistically retell and visuospatially reenact several animated clips. On average, visuospatial responses contained more correct elements than spoken responses. The level of intention of the three stimulus categories did not systematically affect response accuracy. Participants who produced visuospatial responses before spoken responses and those who had watched a greater number of stimuli assigned higher intentionality to shapes in the animations that were designed to elicit mentalizing. The modality used for expression may affect accuracy of responses by autistic individuals. En ligne : http://dx.doi.org/10.1007/s10803-021-05143-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=474
in Journal of Autism and Developmental Disorders > 52-6 (June 2022) . - p.2831-2837[article] Brief Report: Visuospatial and Spoken Language Recall in Autism: Preliminary Findings [Texte imprimé et/ou numérique] / Kelly L. COBURN, Auteur ; Diane L. WILLIAMS, Auteur . - p.2831-2837.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 52-6 (June 2022) . - p.2831-2837
Mots-clés : Autism Communication Multimodal Recall Spoken language Visuospatial Index. décimale : PER Périodiques Résumé : Challenges to verbal encoding may affect the ability of autistic individuals to express their ideas. Therefore, visuospatial expression may represent a person's knowledge and skills more accurately than spoken language. To test this hypothesis, we asked seven autistic adults to linguistically retell and visuospatially reenact several animated clips. On average, visuospatial responses contained more correct elements than spoken responses. The level of intention of the three stimulus categories did not systematically affect response accuracy. Participants who produced visuospatial responses before spoken responses and those who had watched a greater number of stimuli assigned higher intentionality to shapes in the animations that were designed to elicit mentalizing. The modality used for expression may affect accuracy of responses by autistic individuals. En ligne : http://dx.doi.org/10.1007/s10803-021-05143-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=474