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Faire une suggestionRegion-specific associations between gamma-aminobutyric acid A receptor binding and cortical thickness in high-functioning autistic adults / David JAMES in Autism Research, 15-6 (June 2022)
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Titre : Region-specific associations between gamma-aminobutyric acid A receptor binding and cortical thickness in high-functioning autistic adults Type de document : texte imprimé Auteurs : David JAMES, Auteur ; Vicky T. LAM, Auteur ; Booil JO, Auteur ; Lawrence K. FUNG, Auteur Article en page(s) : p.1068-1082 Langues : Anglais (eng) Mots-clés : Adult Autism Spectrum Disorder Autistic Disorder/diagnostic imaging/pathology Brain/pathology Brain Mapping/methods Female Humans Magnetic Resonance Imaging/methods Male gamma-Aminobutyric Acid GABAA receptor density autism cortical thickness postcentral gyrus Index. décimale : PER Périodiques Résumé : The neurobiology of autism has been shown to involve alterations in cortical morphology and gamma-aminobutyric acid A (GABA(A) ) receptor density. We hypothesized that GABA(A) receptor binding potential (GABA(A) R BP(ND) ) would correlate with cortical thickness, but their correlations would differ between autistic adults and typically developing (TD) controls. We studied 50 adults (23 autism, 27 TD, mean age of 27 years) using magnetic resonance imaging to measure cortical thickness, and [(18) F]flumazenil positron emission tomography imaging to measure GABA(A) R BP(ND) . We determined the correlations between cortical thickness and GABA(A) R BP(ND) by cortical lobe, region-of-interest, and diagnosis of autism spectrum disorder (ASD). We also explored potential sex differences in the relationship between cortical thickness and autism characteristics, as measured by autism spectrum quotient (AQ) scores. Comparing autism and TD groups, no significant differences were found in cortical thickness or GABA(A) R BP(ND) . In both autism and TD groups, a negative relationship between cortical thickness and GABA(A) R BP(ND) was observed in the frontal and occipital cortices, but no relationship was found in the temporal or limbic cortices. A positive correlation was seen in the parietal cortex that was only significant for the autism group. Interestingly, in an exploratory analysis, we found sex differences in the relationships between cortical thickness and GABA(A) R BP(ND) , and cortical thickness and AQ scores in the left postcentral gyrus. LAY SUMMARY: The thickness of the brain cortex and the density of the receptors associated with inhibitory neurotransmitter GABA have been hypothesized to underlie the neurobiology of autism. In this study, we found that these biomarkers correlate positively in the parietal cortex, but negatively in the frontal and occipital cortical regions of the brain. Furthermore, we collected preliminary evidence that the correlations between cortical thickness and GABA receptor density are sexdependent in a brain region where sensory inputs are registered. En ligne : http://dx.doi.org/10.1002/aur.2703 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476
in Autism Research > 15-6 (June 2022) . - p.1068-1082[article] Region-specific associations between gamma-aminobutyric acid A receptor binding and cortical thickness in high-functioning autistic adults [texte imprimé] / David JAMES, Auteur ; Vicky T. LAM, Auteur ; Booil JO, Auteur ; Lawrence K. FUNG, Auteur . - p.1068-1082.
Langues : Anglais (eng)
in Autism Research > 15-6 (June 2022) . - p.1068-1082
Mots-clés : Adult Autism Spectrum Disorder Autistic Disorder/diagnostic imaging/pathology Brain/pathology Brain Mapping/methods Female Humans Magnetic Resonance Imaging/methods Male gamma-Aminobutyric Acid GABAA receptor density autism cortical thickness postcentral gyrus Index. décimale : PER Périodiques Résumé : The neurobiology of autism has been shown to involve alterations in cortical morphology and gamma-aminobutyric acid A (GABA(A) ) receptor density. We hypothesized that GABA(A) receptor binding potential (GABA(A) R BP(ND) ) would correlate with cortical thickness, but their correlations would differ between autistic adults and typically developing (TD) controls. We studied 50 adults (23 autism, 27 TD, mean age of 27 years) using magnetic resonance imaging to measure cortical thickness, and [(18) F]flumazenil positron emission tomography imaging to measure GABA(A) R BP(ND) . We determined the correlations between cortical thickness and GABA(A) R BP(ND) by cortical lobe, region-of-interest, and diagnosis of autism spectrum disorder (ASD). We also explored potential sex differences in the relationship between cortical thickness and autism characteristics, as measured by autism spectrum quotient (AQ) scores. Comparing autism and TD groups, no significant differences were found in cortical thickness or GABA(A) R BP(ND) . In both autism and TD groups, a negative relationship between cortical thickness and GABA(A) R BP(ND) was observed in the frontal and occipital cortices, but no relationship was found in the temporal or limbic cortices. A positive correlation was seen in the parietal cortex that was only significant for the autism group. Interestingly, in an exploratory analysis, we found sex differences in the relationships between cortical thickness and GABA(A) R BP(ND) , and cortical thickness and AQ scores in the left postcentral gyrus. LAY SUMMARY: The thickness of the brain cortex and the density of the receptors associated with inhibitory neurotransmitter GABA have been hypothesized to underlie the neurobiology of autism. In this study, we found that these biomarkers correlate positively in the parietal cortex, but negatively in the frontal and occipital cortical regions of the brain. Furthermore, we collected preliminary evidence that the correlations between cortical thickness and GABA receptor density are sexdependent in a brain region where sensory inputs are registered. En ligne : http://dx.doi.org/10.1002/aur.2703 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476 Transcallosal white matter and cortical gray matter variations in autistic adults aged 30-73 years / Danielle CHRISTENSEN ; Jingying WANG ; Desirae J. SHIRLEY ; Ann-Marie ORLANDO ; Regilda A. ROMERO ; David E. VAILLANCOURT ; Bradley J. WILKES ; Stephen A. COOMBES ; Zheng WANG in Molecular Autism, 16 (2025)
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Titre : Transcallosal white matter and cortical gray matter variations in autistic adults aged 30-73 years Type de document : texte imprimé Auteurs : Danielle CHRISTENSEN, Auteur ; Jingying WANG, Auteur ; Desirae J. SHIRLEY, Auteur ; Ann-Marie ORLANDO, Auteur ; Regilda A. ROMERO, Auteur ; David E. VAILLANCOURT, Auteur ; Bradley J. WILKES, Auteur ; Stephen A. COOMBES, Auteur ; Zheng WANG, Auteur Article en page(s) : 16 Langues : Anglais (eng) Mots-clés : Humans Male Gray Matter/diagnostic imaging/pathology White Matter/diagnostic imaging/pathology Female Adult Middle Aged Aged Case-Control Studies Autistic Disorder/diagnostic imaging/pathology Corpus Callosum/diagnostic imaging/pathology Autism Spectrum Disorder/diagnostic imaging/pathology Anisotropy Diffusion Magnetic Resonance Imaging Aging Autism spectrum disorder Autistic adults Diffusion MRI Free water Free water corrected fractional anisotropy Free water corrected mean diffusivity Gray matter Transcallosal tracts White matter in this study were approved by the Institutional Review Board (IRB) at the University of Florida following the Declaration of Helsinki. The IRB number is 202100659, with an approval date of July 26, 2022. Consent for publication: All authors have read and approved the submission. Competing interests: The authors declare no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a lifelong condition that profoundly impacts health, independence, and quality of life. However, research on brain aging in autistic adults is limited, and microstructural variations in white and gray matter remain poorly understood. To address this critical gap, we assessed novel diffusion MRI (dMRI) biomarkers, free water, and free water corrected fractional anisotropy (fwcFA), and mean diffusivity (fwcMD) across 32 transcallosal tracts and their corresponding homotopic grey matter origin/endpoint regions of interest (ROIs) in middle and old aged autistic adults. METHODS: Forty-three autistic adults aged 30-73 and 43 age-, sex-, and IQ-matched neurotypical controls underwent dMRI scans. We examined free water, fwcFA, fwcMD differences between the two groups and age-related pattern of each dMRI metric across the whole brain for each group. The relationships between clinical measures of ASD and free water in regions that significantly differentiated autistic adults from neurotypical controls were also explored. In supplementary analyses, we also assessed free water uncorrected FA and MD using conventional single tensor modeling. RESULTS: Autistic adults exhibited significantly elevated free water in seven frontal transcallosal tracts compared to controls. In controls, age-related increases in free water and decreases in fwcFA were observed across most transcallosal tracts. However, these age-associated patterns were entirely absent in autistic adults. In gray matter, autistic adults showed elevated free water in the calcarine cortices and lower fwcMD in the dorsal premotor cortices compared to controls. Lastly, age-related increases in free water were found across all white matter and gray matter ROIs in neurotypical controls, whereas no age-related associations were detected in any dMRI metrics for autistic adults. LIMITATIONS: We only recruited cognitively capable autistic adults, which limits the generalizability of our findings across the full autism spectrum. The cross-sectional design precludes inferences about microstructural changes over time in middle and old aged autistic adults. CONCLUSIONS: Our findings revealed increased free water load in frontal white matter in autistic adults and identified distinct age-associated microstructural variations between the two groups. These findings highlight more heterogeneous brain aging profiles in autistic adults. Our study also demonstrated the importance of quantifying free water in dMRI studies of ASD. En ligne : https://dx.doi.org/10.1186/s13229-025-00652-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555
in Molecular Autism > 16 (2025) . - 16[article] Transcallosal white matter and cortical gray matter variations in autistic adults aged 30-73 years [texte imprimé] / Danielle CHRISTENSEN, Auteur ; Jingying WANG, Auteur ; Desirae J. SHIRLEY, Auteur ; Ann-Marie ORLANDO, Auteur ; Regilda A. ROMERO, Auteur ; David E. VAILLANCOURT, Auteur ; Bradley J. WILKES, Auteur ; Stephen A. COOMBES, Auteur ; Zheng WANG, Auteur . - 16.
Langues : Anglais (eng)
in Molecular Autism > 16 (2025) . - 16
Mots-clés : Humans Male Gray Matter/diagnostic imaging/pathology White Matter/diagnostic imaging/pathology Female Adult Middle Aged Aged Case-Control Studies Autistic Disorder/diagnostic imaging/pathology Corpus Callosum/diagnostic imaging/pathology Autism Spectrum Disorder/diagnostic imaging/pathology Anisotropy Diffusion Magnetic Resonance Imaging Aging Autism spectrum disorder Autistic adults Diffusion MRI Free water Free water corrected fractional anisotropy Free water corrected mean diffusivity Gray matter Transcallosal tracts White matter in this study were approved by the Institutional Review Board (IRB) at the University of Florida following the Declaration of Helsinki. The IRB number is 202100659, with an approval date of July 26, 2022. Consent for publication: All authors have read and approved the submission. Competing interests: The authors declare no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a lifelong condition that profoundly impacts health, independence, and quality of life. However, research on brain aging in autistic adults is limited, and microstructural variations in white and gray matter remain poorly understood. To address this critical gap, we assessed novel diffusion MRI (dMRI) biomarkers, free water, and free water corrected fractional anisotropy (fwcFA), and mean diffusivity (fwcMD) across 32 transcallosal tracts and their corresponding homotopic grey matter origin/endpoint regions of interest (ROIs) in middle and old aged autistic adults. METHODS: Forty-three autistic adults aged 30-73 and 43 age-, sex-, and IQ-matched neurotypical controls underwent dMRI scans. We examined free water, fwcFA, fwcMD differences between the two groups and age-related pattern of each dMRI metric across the whole brain for each group. The relationships between clinical measures of ASD and free water in regions that significantly differentiated autistic adults from neurotypical controls were also explored. In supplementary analyses, we also assessed free water uncorrected FA and MD using conventional single tensor modeling. RESULTS: Autistic adults exhibited significantly elevated free water in seven frontal transcallosal tracts compared to controls. In controls, age-related increases in free water and decreases in fwcFA were observed across most transcallosal tracts. However, these age-associated patterns were entirely absent in autistic adults. In gray matter, autistic adults showed elevated free water in the calcarine cortices and lower fwcMD in the dorsal premotor cortices compared to controls. Lastly, age-related increases in free water were found across all white matter and gray matter ROIs in neurotypical controls, whereas no age-related associations were detected in any dMRI metrics for autistic adults. LIMITATIONS: We only recruited cognitively capable autistic adults, which limits the generalizability of our findings across the full autism spectrum. The cross-sectional design precludes inferences about microstructural changes over time in middle and old aged autistic adults. CONCLUSIONS: Our findings revealed increased free water load in frontal white matter in autistic adults and identified distinct age-associated microstructural variations between the two groups. These findings highlight more heterogeneous brain aging profiles in autistic adults. Our study also demonstrated the importance of quantifying free water in dMRI studies of ASD. En ligne : https://dx.doi.org/10.1186/s13229-025-00652-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 White matter microstructural and morphometric alterations in autism: implications for intellectual capabilities / Chun-Hung YEH in Molecular Autism, 13 (2022)
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Titre : White matter microstructural and morphometric alterations in autism: implications for intellectual capabilities Type de document : texte imprimé Auteurs : Chun-Hung YEH, Auteur ; Rung-Yu TSENG, Auteur ; Hsing-Chang NI, Auteur ; Luca COCCHI, Auteur ; Jung-Chi CHANG, Auteur ; Mei-Yun HSU, Auteur ; En-Nien TU, Auteur ; Yu-Yu WU, Auteur ; Tai-Li CHOU, Auteur ; Susan Shur-Fen GAU, Auteur ; Hsiang-Yuan LIN, Auteur Article en page(s) : 21 p. Langues : Anglais (eng) Mots-clés : Adolescent Autism Spectrum Disorder/diagnostic imaging/pathology Autistic Disorder/diagnostic imaging/pathology Brain/diagnostic imaging/pathology Corpus Callosum/diagnostic imaging Diffusion Magnetic Resonance Imaging/methods Humans White Matter/diagnostic imaging/pathology Autism spectrum disorder Cerebellum Diffusion MRI Fixel-based analysis Intellectual disabilities Minimally verbal status Index. décimale : PER Périodiques Résumé : BACKGROUND: Neuroimage literature of autism spectrum disorder (ASD) has a moderate-to-high risk of bias, partially because those combined with intellectual impairment (II) and/or minimally verbal (MV) status are generally ignored. We aimed to provide more comprehensive insights into white matter alterations of ASD, inclusive of individuals with II (ASD-II-Only) or MV expression (ASD-MV). METHODS: Sixty-five participants with ASD (ASD-Whole; 16.6+5.9 years; comprising 34 intellectually able youth, ASD-IA, and 31 intellectually impaired youth, ASD-II, including 24 ASD-II-Only plus 7 ASD-MV) and 38 demographic-matched typically developing controls (TDC; 17.3+5.6 years) were scanned in accelerated diffusion-weighted MRI. Fixel-based analysis was undertaken to investigate the categorical differences in fiber density (FD), fiber cross section (FC), and a combined index (FDC), and brain symptom/cognition associations. RESULTS: ASD-Whole had reduced FD in the anterior and posterior corpus callosum and left cerebellum Crus I, and smaller FDC in right cerebellum Crus II, compared to TDC. ASD-IA, relative to TDC, had no significant discrepancies, while ASD-II showed almost identical alterations to those from ASD-Whole vs. TDC. ASD-II-Only had greater FD/FDC in the isthmus splenium of callosum than ASD-MV. Autistic severity negatively correlated with FC in right Crus I. Nonverbal full-scale IQ positively correlated with FC/FDC in cerebellum VI. FD/FDC of the right dorsolateral prefrontal cortex showed a diagnosis-by-executive function interaction. LIMITATIONS: We could not preclude the potential effects of age and sex from the ASD cohort, although statistical tests suggested that these factors were not influential. Our results could be confounded by variable psychiatric comorbidities and psychotropic medication uses in our ASD participants recruited from outpatient clinics, which is nevertheless closer to a real-world presentation of ASD. The outcomes related to ASD-MV were considered preliminaries due to the small sample size within this subgroup. Finally, our study design did not include intellectual impairment-only participants without ASD to disentangle the mixture of autistic and intellectual symptoms. CONCLUSIONS: ASD-associated white matter alterations appear driven by individuals with II and potentially further by MV. Results suggest that changes in the corpus callosum and cerebellum are key for psychopathology and cognition associated with ASD. Our work highlights an essential to include understudied subpopulations on the spectrum in research. En ligne : http://dx.doi.org/10.1186/s13229-022-00499-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477
in Molecular Autism > 13 (2022) . - 21 p.[article] White matter microstructural and morphometric alterations in autism: implications for intellectual capabilities [texte imprimé] / Chun-Hung YEH, Auteur ; Rung-Yu TSENG, Auteur ; Hsing-Chang NI, Auteur ; Luca COCCHI, Auteur ; Jung-Chi CHANG, Auteur ; Mei-Yun HSU, Auteur ; En-Nien TU, Auteur ; Yu-Yu WU, Auteur ; Tai-Li CHOU, Auteur ; Susan Shur-Fen GAU, Auteur ; Hsiang-Yuan LIN, Auteur . - 21 p.
Langues : Anglais (eng)
in Molecular Autism > 13 (2022) . - 21 p.
Mots-clés : Adolescent Autism Spectrum Disorder/diagnostic imaging/pathology Autistic Disorder/diagnostic imaging/pathology Brain/diagnostic imaging/pathology Corpus Callosum/diagnostic imaging Diffusion Magnetic Resonance Imaging/methods Humans White Matter/diagnostic imaging/pathology Autism spectrum disorder Cerebellum Diffusion MRI Fixel-based analysis Intellectual disabilities Minimally verbal status Index. décimale : PER Périodiques Résumé : BACKGROUND: Neuroimage literature of autism spectrum disorder (ASD) has a moderate-to-high risk of bias, partially because those combined with intellectual impairment (II) and/or minimally verbal (MV) status are generally ignored. We aimed to provide more comprehensive insights into white matter alterations of ASD, inclusive of individuals with II (ASD-II-Only) or MV expression (ASD-MV). METHODS: Sixty-five participants with ASD (ASD-Whole; 16.6+5.9 years; comprising 34 intellectually able youth, ASD-IA, and 31 intellectually impaired youth, ASD-II, including 24 ASD-II-Only plus 7 ASD-MV) and 38 demographic-matched typically developing controls (TDC; 17.3+5.6 years) were scanned in accelerated diffusion-weighted MRI. Fixel-based analysis was undertaken to investigate the categorical differences in fiber density (FD), fiber cross section (FC), and a combined index (FDC), and brain symptom/cognition associations. RESULTS: ASD-Whole had reduced FD in the anterior and posterior corpus callosum and left cerebellum Crus I, and smaller FDC in right cerebellum Crus II, compared to TDC. ASD-IA, relative to TDC, had no significant discrepancies, while ASD-II showed almost identical alterations to those from ASD-Whole vs. TDC. ASD-II-Only had greater FD/FDC in the isthmus splenium of callosum than ASD-MV. Autistic severity negatively correlated with FC in right Crus I. Nonverbal full-scale IQ positively correlated with FC/FDC in cerebellum VI. FD/FDC of the right dorsolateral prefrontal cortex showed a diagnosis-by-executive function interaction. LIMITATIONS: We could not preclude the potential effects of age and sex from the ASD cohort, although statistical tests suggested that these factors were not influential. Our results could be confounded by variable psychiatric comorbidities and psychotropic medication uses in our ASD participants recruited from outpatient clinics, which is nevertheless closer to a real-world presentation of ASD. The outcomes related to ASD-MV were considered preliminaries due to the small sample size within this subgroup. Finally, our study design did not include intellectual impairment-only participants without ASD to disentangle the mixture of autistic and intellectual symptoms. CONCLUSIONS: ASD-associated white matter alterations appear driven by individuals with II and potentially further by MV. Results suggest that changes in the corpus callosum and cerebellum are key for psychopathology and cognition associated with ASD. Our work highlights an essential to include understudied subpopulations on the spectrum in research. En ligne : http://dx.doi.org/10.1186/s13229-022-00499-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477

