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Faire une suggestionAltered functional connectivity of the amygdaloid input nuclei in adolescents and young adults with autism spectrum disorder: a resting state fMRI study / Annika RAUSCH in Molecular Autism, 7 (2016)
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[article]
Titre : Altered functional connectivity of the amygdaloid input nuclei in adolescents and young adults with autism spectrum disorder: a resting state fMRI study Type de document : texte imprimé Auteurs : Annika RAUSCH, Auteur ; Wenxin ZHANG, Auteur ; Koen V. HAAK, Auteur ; Maarten MENNES, Auteur ; Erno J. HERMANS, Auteur ; Erik VAN OORT, Auteur ; Guido VAN WINGEN, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur ; Wouter B. GROEN, Auteur Article en page(s) : 13p. Langues : Anglais (eng) Mots-clés : Adolescent Afferent Pathways/pathology/physiopathology Amygdala/pathology/physiopathology Autism Spectrum Disorder/pathology/physiopathology Basolateral Nuclear Complex/pathology/physiopathology Central Amygdaloid Nucleus/pathology/physiopathology Connectome Efferent Pathways/pathology/physiopathology Emotions Female Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Models, Neurological Models, Psychological Neocortex/pathology/physiopathology Nerve Net/pathology/physiopathology Signal-To-Noise Ratio Social Perception Surveys and Questionnaires Temporal Lobe/pathology/physiopathology Young Adult Amygdala Autism spectrum disorder Centromedial Connectivity Input-output Laterobasal Nuclei Superficial Index. décimale : PER Périodiques Résumé : BACKGROUND: Amygdala dysfunction is hypothesized to underlie the social deficits observed in autism spectrum disorders (ASD). However, the neurobiological basis of this hypothesis is underspecified because it is unknown whether ASD relates to abnormalities of the amygdaloid input or output nuclei. Here, we investigated the functional connectivity of the amygdaloid social-perceptual input nuclei and emotion-regulation output nuclei in ASD versus controls. METHODS: We collected resting state functional magnetic resonance imaging (fMRI) data, tailored to provide optimal sensitivity in the amygdala as well as the neocortex, in 20 adolescents and young adults with ASD and 25 matched controls. We performed a regular correlation analysis between the entire amygdala (EA) and the whole brain and used a partial correlation analysis to investigate whole-brain functional connectivity uniquely related to each of the amygdaloid subregions. RESULTS: Between-group comparison of regular EA correlations showed significantly reduced connectivity in visuospatial and superior parietal areas in ASD compared to controls. Partial correlation analysis revealed that this effect was driven by the left superficial and right laterobasal input subregions, but not the centromedial output nuclei. CONCLUSIONS: These results indicate reduced connectivity of specifically the amygdaloid sensory input channels in ASD, suggesting that abnormal amygdalo-cortical connectivity can be traced down to the socio-perceptual pathways. En ligne : http://dx.doi.org/10.1186/s13229-015-0060-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329
in Molecular Autism > 7 (2016) . - 13p.[article] Altered functional connectivity of the amygdaloid input nuclei in adolescents and young adults with autism spectrum disorder: a resting state fMRI study [texte imprimé] / Annika RAUSCH, Auteur ; Wenxin ZHANG, Auteur ; Koen V. HAAK, Auteur ; Maarten MENNES, Auteur ; Erno J. HERMANS, Auteur ; Erik VAN OORT, Auteur ; Guido VAN WINGEN, Auteur ; Christian F. BECKMANN, Auteur ; Jan K. BUITELAAR, Auteur ; Wouter B. GROEN, Auteur . - 13p.
Langues : Anglais (eng)
in Molecular Autism > 7 (2016) . - 13p.
Mots-clés : Adolescent Afferent Pathways/pathology/physiopathology Amygdala/pathology/physiopathology Autism Spectrum Disorder/pathology/physiopathology Basolateral Nuclear Complex/pathology/physiopathology Central Amygdaloid Nucleus/pathology/physiopathology Connectome Efferent Pathways/pathology/physiopathology Emotions Female Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Models, Neurological Models, Psychological Neocortex/pathology/physiopathology Nerve Net/pathology/physiopathology Signal-To-Noise Ratio Social Perception Surveys and Questionnaires Temporal Lobe/pathology/physiopathology Young Adult Amygdala Autism spectrum disorder Centromedial Connectivity Input-output Laterobasal Nuclei Superficial Index. décimale : PER Périodiques Résumé : BACKGROUND: Amygdala dysfunction is hypothesized to underlie the social deficits observed in autism spectrum disorders (ASD). However, the neurobiological basis of this hypothesis is underspecified because it is unknown whether ASD relates to abnormalities of the amygdaloid input or output nuclei. Here, we investigated the functional connectivity of the amygdaloid social-perceptual input nuclei and emotion-regulation output nuclei in ASD versus controls. METHODS: We collected resting state functional magnetic resonance imaging (fMRI) data, tailored to provide optimal sensitivity in the amygdala as well as the neocortex, in 20 adolescents and young adults with ASD and 25 matched controls. We performed a regular correlation analysis between the entire amygdala (EA) and the whole brain and used a partial correlation analysis to investigate whole-brain functional connectivity uniquely related to each of the amygdaloid subregions. RESULTS: Between-group comparison of regular EA correlations showed significantly reduced connectivity in visuospatial and superior parietal areas in ASD compared to controls. Partial correlation analysis revealed that this effect was driven by the left superficial and right laterobasal input subregions, but not the centromedial output nuclei. CONCLUSIONS: These results indicate reduced connectivity of specifically the amygdaloid sensory input channels in ASD, suggesting that abnormal amygdalo-cortical connectivity can be traced down to the socio-perceptual pathways. En ligne : http://dx.doi.org/10.1186/s13229-015-0060-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329 An amygdala-centered hyper-connectivity signature of threatening face processing predicts anxiety in youths with autism spectrum conditions / Yu-Chun CHEN in Autism Research, 14-11 (November 2021)
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Titre : An amygdala-centered hyper-connectivity signature of threatening face processing predicts anxiety in youths with autism spectrum conditions Type de document : texte imprimé Auteurs : Yu-Chun CHEN, Auteur ; Chenyi CHEN, Auteur ; Róger Marcelo MARTÍNEZ, Auteur ; Yang-Teng FAN, Auteur ; Chia-Chien LIU, Auteur ; Chin-Yau CHEN, Auteur ; Yu-Chun CHENG, Auteur Année de publication : 2021 Article en page(s) : p.2287-2299 Langues : Anglais (eng) Mots-clés : Adolescent Amygdala/diagnostic imaging Anxiety/complications Autism Spectrum Disorder/complications/diagnostic imaging Autistic Disorder Case-Control Studies Facial Recognition Humans Magnetic Resonance Imaging amygdala autism spectrum condition (ASC) explicit implicit threat Index. décimale : PER Périodiques Résumé : Anxiety is exceedingly prevalent among individuals with an autism spectrum condition (ASC). While recent literature postulates anxiety as a mechanism encompassing an underlying amygdala-related elevated baseline level of arousal even to nonthreatening cues, whether this same mechanism contributes to anxiety in those with an ASC and supports the transdiagnostic nature of anxiety remains elusive. In this case-control study of 51 youths (26 ASC), we assessed autism and anxiety via the Autism-Spectrum Quotient and the State-Trait Anxiety Inventory, respectively. Hemodynamic responses, including amygdala reactivity, to explicit and implicit (backwardly masked) perception of threatening faces were acquired using functional Magnetic Resonance Imaging (fMRI). For explicit fear, ASC individuals showed significantly greater negative correlations between the amygdala and the attentional deployment-parietal network. For implicit fear, ASC individuals showed significantly stronger correlations of the amygdala with the prefrontal networks, temporal pole, and hippocampus. Additionally, an fMRI-based neurologic signature for anxiety in ASCs was identified via the LibSVM machine learning model using amygdala-centered functional connectivity during the emotional processing of explicit and implicit stimuli. Hypervigilance to implicit threat in ASCs comorbid with anxiety might exacerbate explicit threat reactivity; hence the use of attentional avoidance patterns to restrict affective hyperarousal for explicitly perceived socioemotional stimuli. Consequently, developing an attention-independent behavioral/neural marker identifying anxiety in ASCs is highly warranted. LAY SUMMARY: This study identifies a dissociation of amygdala reactivity dependent on explicit and implicit threat processing. Implicit anxiety in individuals with an autism spectrum condition (ASC) could outweigh explicitly induced threat. When explicitly perceiving socioemotional stimuli, ASC individuals with anxiety might use attentional avoidance patterns to restrict affective hyperarousal. En ligne : http://dx.doi.org/10.1002/aur.2595 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450
in Autism Research > 14-11 (November 2021) . - p.2287-2299[article] An amygdala-centered hyper-connectivity signature of threatening face processing predicts anxiety in youths with autism spectrum conditions [texte imprimé] / Yu-Chun CHEN, Auteur ; Chenyi CHEN, Auteur ; Róger Marcelo MARTÍNEZ, Auteur ; Yang-Teng FAN, Auteur ; Chia-Chien LIU, Auteur ; Chin-Yau CHEN, Auteur ; Yu-Chun CHENG, Auteur . - 2021 . - p.2287-2299.
Langues : Anglais (eng)
in Autism Research > 14-11 (November 2021) . - p.2287-2299
Mots-clés : Adolescent Amygdala/diagnostic imaging Anxiety/complications Autism Spectrum Disorder/complications/diagnostic imaging Autistic Disorder Case-Control Studies Facial Recognition Humans Magnetic Resonance Imaging amygdala autism spectrum condition (ASC) explicit implicit threat Index. décimale : PER Périodiques Résumé : Anxiety is exceedingly prevalent among individuals with an autism spectrum condition (ASC). While recent literature postulates anxiety as a mechanism encompassing an underlying amygdala-related elevated baseline level of arousal even to nonthreatening cues, whether this same mechanism contributes to anxiety in those with an ASC and supports the transdiagnostic nature of anxiety remains elusive. In this case-control study of 51 youths (26 ASC), we assessed autism and anxiety via the Autism-Spectrum Quotient and the State-Trait Anxiety Inventory, respectively. Hemodynamic responses, including amygdala reactivity, to explicit and implicit (backwardly masked) perception of threatening faces were acquired using functional Magnetic Resonance Imaging (fMRI). For explicit fear, ASC individuals showed significantly greater negative correlations between the amygdala and the attentional deployment-parietal network. For implicit fear, ASC individuals showed significantly stronger correlations of the amygdala with the prefrontal networks, temporal pole, and hippocampus. Additionally, an fMRI-based neurologic signature for anxiety in ASCs was identified via the LibSVM machine learning model using amygdala-centered functional connectivity during the emotional processing of explicit and implicit stimuli. Hypervigilance to implicit threat in ASCs comorbid with anxiety might exacerbate explicit threat reactivity; hence the use of attentional avoidance patterns to restrict affective hyperarousal for explicitly perceived socioemotional stimuli. Consequently, developing an attention-independent behavioral/neural marker identifying anxiety in ASCs is highly warranted. LAY SUMMARY: This study identifies a dissociation of amygdala reactivity dependent on explicit and implicit threat processing. Implicit anxiety in individuals with an autism spectrum condition (ASC) could outweigh explicitly induced threat. When explicitly perceiving socioemotional stimuli, ASC individuals with anxiety might use attentional avoidance patterns to restrict affective hyperarousal. En ligne : http://dx.doi.org/10.1002/aur.2595 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 Autistic and non-autistic individuals show the same amygdala activity during emotional face processing / Benedikt P. LANGENBACH in Molecular Autism, 15 (2024)
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Titre : Autistic and non-autistic individuals show the same amygdala activity during emotional face processing Type de document : texte imprimé Auteurs : Benedikt P. LANGENBACH, Auteur ; Dominik GROTEGERD, Auteur ; Peter C.R. MULDERS, Auteur ; Indira TENDOLKAR, Auteur ; Jasper VAN OORT, Auteur ; Fleur DUYSER, Auteur ; Philip VAN EIJNDHOVEN, Auteur ; Janna N. VRIJSEN, Auteur ; Udo DANNLOWSKI, Auteur ; Zarah KAMPMANN, Auteur ; Katja KOELKEBECK, Auteur Article en page(s) : 2p. Langues : Anglais (eng) Mots-clés : Humans Autistic Disorder Autism Spectrum Disorder Facial Recognition Emotions Amygdala/diagnostic imaging Amygdala Autism Emotion processing Face processing fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Autistic and non-autistic individuals often differ in how they perceive and show emotions, especially in their ability and inclination to infer other people's feelings from subtle cues like facial expressions. Prominent theories of autism have suggested that these differences stem from alterations in amygdala functioning and that amygdala hypoactivation causes problems with emotion recognition. Thus far, however, empirical investigations of this hypothesis have yielded mixed results and largely relied on relatively small samples. METHODS: In a sample of 72 autistic and 79 non-autistic participants, we conducted a study in which we used the Hariri paradigm to test whether amygdala activation during emotional face processing is altered in autism spectrum disorder, and whether common mental disorders like depression, ADHD or anxiety disorders influence any potential alterations in activation patterns. RESULTS: We found no evidence for differences in amygdala activation, neither when comparing autistic and non-autistic participants, nor when taking into account mental disorders or the overall level of functional impairment. LIMITATIONS: Because we used one basic emotion processing task in a Dutch sample, results might not generalise to other tasks and other populations. CONCLUSIONS: Our results challenge the view that autistic and non-autistic processing of emotional faces in the amygdala is vastly different and call for a more nuanced view of differences between non-autistic and autistic emotion processing. En ligne : https://dx.doi.org/10.1186/s13229-024-00582-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537
in Molecular Autism > 15 (2024) . - 2p.[article] Autistic and non-autistic individuals show the same amygdala activity during emotional face processing [texte imprimé] / Benedikt P. LANGENBACH, Auteur ; Dominik GROTEGERD, Auteur ; Peter C.R. MULDERS, Auteur ; Indira TENDOLKAR, Auteur ; Jasper VAN OORT, Auteur ; Fleur DUYSER, Auteur ; Philip VAN EIJNDHOVEN, Auteur ; Janna N. VRIJSEN, Auteur ; Udo DANNLOWSKI, Auteur ; Zarah KAMPMANN, Auteur ; Katja KOELKEBECK, Auteur . - 2p.
Langues : Anglais (eng)
in Molecular Autism > 15 (2024) . - 2p.
Mots-clés : Humans Autistic Disorder Autism Spectrum Disorder Facial Recognition Emotions Amygdala/diagnostic imaging Amygdala Autism Emotion processing Face processing fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Autistic and non-autistic individuals often differ in how they perceive and show emotions, especially in their ability and inclination to infer other people's feelings from subtle cues like facial expressions. Prominent theories of autism have suggested that these differences stem from alterations in amygdala functioning and that amygdala hypoactivation causes problems with emotion recognition. Thus far, however, empirical investigations of this hypothesis have yielded mixed results and largely relied on relatively small samples. METHODS: In a sample of 72 autistic and 79 non-autistic participants, we conducted a study in which we used the Hariri paradigm to test whether amygdala activation during emotional face processing is altered in autism spectrum disorder, and whether common mental disorders like depression, ADHD or anxiety disorders influence any potential alterations in activation patterns. RESULTS: We found no evidence for differences in amygdala activation, neither when comparing autistic and non-autistic participants, nor when taking into account mental disorders or the overall level of functional impairment. LIMITATIONS: Because we used one basic emotion processing task in a Dutch sample, results might not generalise to other tasks and other populations. CONCLUSIONS: Our results challenge the view that autistic and non-autistic processing of emotional faces in the amygdala is vastly different and call for a more nuanced view of differences between non-autistic and autistic emotion processing. En ligne : https://dx.doi.org/10.1186/s13229-024-00582-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537 Subcortical brain volume variations in autistic individuals across the lifespan / Danielle CHRISTENSEN in Molecular Autism, 16 (2025)
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Titre : Subcortical brain volume variations in autistic individuals across the lifespan Type de document : texte imprimé Auteurs : Danielle CHRISTENSEN, Auteur ; Young Seon SHIN, Auteur ; Jingying WANG, Auteur ; Carolina R. CUOMO, Auteur ; Tyler DENTRY, Auteur ; Hanna M. GEMMELL, Auteur ; Stormi L. PULVER, Auteur ; Ann-Marie ORLANDO, Auteur ; Walker S. MCKINNEY, Auteur ; Cassie J. STEVENS, Auteur ; Kathryn E. UNRUH, Auteur ; Bikram KARMAKAR, Auteur ; Stephen A. COOMBES, Auteur ; Matthew W. MOSCONI, Auteur ; Zheng WANG, Auteur ; Danielle CHRISTENSEN, Auteur ; Young Seon SHIN, Auteur ; Jingying WANG, Auteur ; Carolina R. CUOMO, Auteur ; Tyler DENTRY, Auteur ; Hanna M. GEMMELL, Auteur ; Stormi L. PULVER, Auteur ; Ann-Marie ORLANDO, Auteur ; Walker S. MCKINNEY, Auteur ; Cassie J. STEVENS, Auteur ; Kathryn E. UNRUH, Auteur ; Bikram KARMAKAR, Auteur ; Stephen A. COOMBES, Auteur ; Matthew W. MOSCONI, Auteur ; Zheng WANG, Auteur Article en page(s) : 46 Langues : Anglais (eng) Mots-clés : Humans Adult Male Female Child Middle Aged Adolescent Magnetic Resonance Imaging Aged Young Adult Cross-Sectional Studies Brain/pathology/diagnostic imaging Autistic Disorder/pathology/diagnostic imaging Organ Size Amygdala/pathology/diagnostic imaging Longevity Autism Spectrum Disorder/pathology/diagnostic imaging Hippocampus/pathology/diagnostic imaging Basal Ganglia/pathology/diagnostic imaging Aging Amygdala Autism spectrum disorder Basal ganglia Brain atrophy Cerebral ventricles Hippocampus Lifespan MRI Institutional Review Boards (IRB) at UTSW and Children’s Hospital of Dallas (STU052013-4 approval date: August 30, 2011), KU Medical Center (STUDY00140269 approval date: March 17, 2017), and UF (IRB201801378 approval date: July 26, 2022). Consent for publication: All participants provided their informed consent regarding data handling procedures. Competing interests: The authors declare no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Structural alterations in subcortical brain regions-including the amygdala, hippocampus, basal ganglia, and cerebral ventricles-have been linked to various clinical features of autism spectrum disorder (ASD). However, volumetric features among these regions in autistic individuals across the lifespan remain poorly understood. This cross-sectional study aimed to investigate age-associated volumetric deviations in these clinically implicated subcortical regions of autistic individuals and neurotypical controls, and to examine the structural interrelationships within each group. METHODS: We examined multi-site T1-weighted MRI data from 119 autistic and 122 neurotypical participants aged 7-73 years. Volumetric data for the amygdala, hippocampus, basal ganglia, and cerebral ventricles were harmonized across sites using the ComBat algorithm. Following this, volumetric composite indices (principal component scores) were extracted for each region using principal component analysis. These scores represent dominant volumetric patterns of each subcortical region, with higher values reflecting greater volume. These composite scores were then compared between groups and with increasing age. RESULTS: Autistic participants exhibited greater amygdala volume in early life, followed by more pronounced age-associated reductions in adulthood compared to neurotypical controls. A similar trend was observed for the hippocampus, with early volumetric enlargement giving way to steeper declines in later years. In contrast, the autistic group consistently trended towards larger basal ganglia across the lifespan. Additionally, autistic participants showed accelerated enlargement in the cerebral ventricles with increasing age. Both groups exhibited patterns of inverse volumetric associations between the cerebral ventricles and surrounding subcortical regions in later adulthood; however, these relationships were more pronounced and widely distributed in the autistic group. LIMITATIONS: The cross-sectional design of this study limited us from capturing intra-individual differences at baseline and quantifying the lifespan trajectories of each participant. Site-related sampling differences may have introduced cohort bias in the results. CONCLUSIONS: Autistic participants and neurotypical controls exhibit distinct, age-related volumetric patterns across key subcortical brain regions. Enlargement of the cerebral ventricles and their inverse structural relationships with neighboring structures in later life may indicate atrophic processes beginning in middle adulthood in ASD. These findings highlight the need to further investigate mechanisms of atypical brain aging in ASD and consider these subcortical brain regions as potential biomarkers of neurodegeneration and intervention targets across the adult lifespan. En ligne : https://dx.doi.org/10.1186/s13229-025-00673-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=569
in Molecular Autism > 16 (2025) . - 46[article] Subcortical brain volume variations in autistic individuals across the lifespan [texte imprimé] / Danielle CHRISTENSEN, Auteur ; Young Seon SHIN, Auteur ; Jingying WANG, Auteur ; Carolina R. CUOMO, Auteur ; Tyler DENTRY, Auteur ; Hanna M. GEMMELL, Auteur ; Stormi L. PULVER, Auteur ; Ann-Marie ORLANDO, Auteur ; Walker S. MCKINNEY, Auteur ; Cassie J. STEVENS, Auteur ; Kathryn E. UNRUH, Auteur ; Bikram KARMAKAR, Auteur ; Stephen A. COOMBES, Auteur ; Matthew W. MOSCONI, Auteur ; Zheng WANG, Auteur ; Danielle CHRISTENSEN, Auteur ; Young Seon SHIN, Auteur ; Jingying WANG, Auteur ; Carolina R. CUOMO, Auteur ; Tyler DENTRY, Auteur ; Hanna M. GEMMELL, Auteur ; Stormi L. PULVER, Auteur ; Ann-Marie ORLANDO, Auteur ; Walker S. MCKINNEY, Auteur ; Cassie J. STEVENS, Auteur ; Kathryn E. UNRUH, Auteur ; Bikram KARMAKAR, Auteur ; Stephen A. COOMBES, Auteur ; Matthew W. MOSCONI, Auteur ; Zheng WANG, Auteur . - 46.
Langues : Anglais (eng)
in Molecular Autism > 16 (2025) . - 46
Mots-clés : Humans Adult Male Female Child Middle Aged Adolescent Magnetic Resonance Imaging Aged Young Adult Cross-Sectional Studies Brain/pathology/diagnostic imaging Autistic Disorder/pathology/diagnostic imaging Organ Size Amygdala/pathology/diagnostic imaging Longevity Autism Spectrum Disorder/pathology/diagnostic imaging Hippocampus/pathology/diagnostic imaging Basal Ganglia/pathology/diagnostic imaging Aging Amygdala Autism spectrum disorder Basal ganglia Brain atrophy Cerebral ventricles Hippocampus Lifespan MRI Institutional Review Boards (IRB) at UTSW and Children’s Hospital of Dallas (STU052013-4 approval date: August 30, 2011), KU Medical Center (STUDY00140269 approval date: March 17, 2017), and UF (IRB201801378 approval date: July 26, 2022). Consent for publication: All participants provided their informed consent regarding data handling procedures. Competing interests: The authors declare no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Structural alterations in subcortical brain regions-including the amygdala, hippocampus, basal ganglia, and cerebral ventricles-have been linked to various clinical features of autism spectrum disorder (ASD). However, volumetric features among these regions in autistic individuals across the lifespan remain poorly understood. This cross-sectional study aimed to investigate age-associated volumetric deviations in these clinically implicated subcortical regions of autistic individuals and neurotypical controls, and to examine the structural interrelationships within each group. METHODS: We examined multi-site T1-weighted MRI data from 119 autistic and 122 neurotypical participants aged 7-73 years. Volumetric data for the amygdala, hippocampus, basal ganglia, and cerebral ventricles were harmonized across sites using the ComBat algorithm. Following this, volumetric composite indices (principal component scores) were extracted for each region using principal component analysis. These scores represent dominant volumetric patterns of each subcortical region, with higher values reflecting greater volume. These composite scores were then compared between groups and with increasing age. RESULTS: Autistic participants exhibited greater amygdala volume in early life, followed by more pronounced age-associated reductions in adulthood compared to neurotypical controls. A similar trend was observed for the hippocampus, with early volumetric enlargement giving way to steeper declines in later years. In contrast, the autistic group consistently trended towards larger basal ganglia across the lifespan. Additionally, autistic participants showed accelerated enlargement in the cerebral ventricles with increasing age. Both groups exhibited patterns of inverse volumetric associations between the cerebral ventricles and surrounding subcortical regions in later adulthood; however, these relationships were more pronounced and widely distributed in the autistic group. LIMITATIONS: The cross-sectional design of this study limited us from capturing intra-individual differences at baseline and quantifying the lifespan trajectories of each participant. Site-related sampling differences may have introduced cohort bias in the results. CONCLUSIONS: Autistic participants and neurotypical controls exhibit distinct, age-related volumetric patterns across key subcortical brain regions. Enlargement of the cerebral ventricles and their inverse structural relationships with neighboring structures in later life may indicate atrophic processes beginning in middle adulthood in ASD. These findings highlight the need to further investigate mechanisms of atypical brain aging in ASD and consider these subcortical brain regions as potential biomarkers of neurodegeneration and intervention targets across the adult lifespan. En ligne : https://dx.doi.org/10.1186/s13229-025-00673-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=569 The longitudinal association between externalizing behavior and frontoamygdalar resting-state functional connectivity in late adolescence and young adulthood / Sandra THIJSSEN in Journal of Child Psychology and Psychiatry, 62-7 (July 2021)
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Titre : The longitudinal association between externalizing behavior and frontoamygdalar resting-state functional connectivity in late adolescence and young adulthood Type de document : texte imprimé Auteurs : Sandra THIJSSEN, Auteur ; Paul F. COLLINS, Auteur ; Hannah WEISS, Auteur ; Monica LUCIANA, Auteur Article en page(s) : p.857-867 Langues : Anglais (eng) Mots-clés : Adolescent Adult Amygdala/diagnostic imaging Gyrus Cinguli Humans Magnetic Resonance Imaging Neural Pathways/diagnostic imaging Prefrontal Cortex/diagnostic imaging Young Adult Externalizing behavior amygdala anterior cingulate cortex functional connectivity orbitofrontal cortex Index. décimale : PER Périodiques Résumé : BACKGROUND: Externalizing behavior has been attributed, in part, to decreased frontolimbic control over amygdala activation. However, little is known about developmental trajectories of frontoamygdalar functional connectivity and its relation to externalizing behavior. The present study addresses this gap by examining longitudinal associations between adolescent and adult externalizing behavior and amygdala-anterior cingulate cortex (ACC) and amygdala-orbitofrontal cortex (OFC) resting-state functional connectivity in a sample of 111 typically developing participants aged 11-23 at baseline. METHODS: Participants completed two-to-four data waves spaced approximately two years apart, resulting in a total of 309 data points. At each data wave, externalizing behavior was measured using the Externalizing Behavior Broadband Scale from the Achenbach Youth/Adult Self-Report questionnaire. Resting-state fMRI preprocessing was performed using FSL. Amygdala functional connectivity was examined using AFNI. The longitudinal association between externalizing behavior and amygdala-ACC/OFC functional connectivity was examined using linear mixed effect models in R. RESULTS: Externalizing behavior was associated with increased amygdala-ACC and amygdala-OFC resting-state functional connectivity across adolescence and young adulthood. For amygdala-ACC connectivity, externalizing behavior at baseline primarily drove this association, whereas for amygdala-OFC functional connectivity, change in externalizing behavior relative to baseline drove the main effect of externalizing behavior on amygdala-OFC functional connectivity. No evidence was found for differential developmental trajectories of frontoamygdalar connectivity for different levels of externalizing behavior (i.e., age-by-externalizing behavior interaction effect). CONCLUSIONS: Higher externalizing behavior is associated with increased resting-state attunement between the amygdala and ACC/OFC, perhaps indicating a generally more vigilant state for neural networks important for emotional processing and control. En ligne : http://dx.doi.org/10.1111/jcpp.13330 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456
in Journal of Child Psychology and Psychiatry > 62-7 (July 2021) . - p.857-867[article] The longitudinal association between externalizing behavior and frontoamygdalar resting-state functional connectivity in late adolescence and young adulthood [texte imprimé] / Sandra THIJSSEN, Auteur ; Paul F. COLLINS, Auteur ; Hannah WEISS, Auteur ; Monica LUCIANA, Auteur . - p.857-867.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 62-7 (July 2021) . - p.857-867
Mots-clés : Adolescent Adult Amygdala/diagnostic imaging Gyrus Cinguli Humans Magnetic Resonance Imaging Neural Pathways/diagnostic imaging Prefrontal Cortex/diagnostic imaging Young Adult Externalizing behavior amygdala anterior cingulate cortex functional connectivity orbitofrontal cortex Index. décimale : PER Périodiques Résumé : BACKGROUND: Externalizing behavior has been attributed, in part, to decreased frontolimbic control over amygdala activation. However, little is known about developmental trajectories of frontoamygdalar functional connectivity and its relation to externalizing behavior. The present study addresses this gap by examining longitudinal associations between adolescent and adult externalizing behavior and amygdala-anterior cingulate cortex (ACC) and amygdala-orbitofrontal cortex (OFC) resting-state functional connectivity in a sample of 111 typically developing participants aged 11-23 at baseline. METHODS: Participants completed two-to-four data waves spaced approximately two years apart, resulting in a total of 309 data points. At each data wave, externalizing behavior was measured using the Externalizing Behavior Broadband Scale from the Achenbach Youth/Adult Self-Report questionnaire. Resting-state fMRI preprocessing was performed using FSL. Amygdala functional connectivity was examined using AFNI. The longitudinal association between externalizing behavior and amygdala-ACC/OFC functional connectivity was examined using linear mixed effect models in R. RESULTS: Externalizing behavior was associated with increased amygdala-ACC and amygdala-OFC resting-state functional connectivity across adolescence and young adulthood. For amygdala-ACC connectivity, externalizing behavior at baseline primarily drove this association, whereas for amygdala-OFC functional connectivity, change in externalizing behavior relative to baseline drove the main effect of externalizing behavior on amygdala-OFC functional connectivity. No evidence was found for differential developmental trajectories of frontoamygdalar connectivity for different levels of externalizing behavior (i.e., age-by-externalizing behavior interaction effect). CONCLUSIONS: Higher externalizing behavior is associated with increased resting-state attunement between the amygdala and ACC/OFC, perhaps indicating a generally more vigilant state for neural networks important for emotional processing and control. En ligne : http://dx.doi.org/10.1111/jcpp.13330 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 Understanding depression in autism: the role of subjective perception and anterior cingulate cortex volume / Sarah BANKER ; Jadyn TRAYVICK ; Sarah BARKLEY ; Arabella W PETERS ; Abigaël THINAKARAN ; Christopher S. MCLAUGHLIN ; Xiaosi GU ; Daniela SCHILLER ; Jennifer H. FOSS-FEIG in Molecular Autism, 16 (2025)
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PermalinkAltered Dynamics of the fMRI Response to Faces in Individuals with Autism / Natalia M. KLEINHANS in Journal of Autism and Developmental Disorders, 46-1 (January 2016)
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PermalinkAmygdala responses to threat in violence-exposed children depend on trauma context and maternal caregiving / Jennifer S. STEVENS in Development and Psychopathology, 35-3 (August 2023)
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PermalinkAmygdala Volume Differences in Autism Spectrum Disorder Are Related to Anxiety / John D. HERRINGTON in Journal of Autism and Developmental Disorders, 47-12 (December 2017)
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PermalinkAnatomy and aging of the amygdala and hippocampus in autism spectrum disorder: an in vivo magnetic resonance imaging study of Asperger syndrome / Clodagh M. MURPHY in Autism Research, 5-1 (February 2012)
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