146 recherche sur le mot-clé 'fMRI'

A 3D approach to understanding heterogeneity in early developing autisms / Veronica MANDELLI in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 41p. Titre : A 3D approach to understanding heterogeneity in early developing autisms Type de document : texte imprimé Auteurs : Veronica MANDELLI, Auteur ; Ines SEVERINO, Auteur ; Lisa T. EYLER, Auteur ; Karen PIERCE, Auteur ; Eric COURCHESNE, Auteur ; Michael V. LOMBARDO, Auteur Article en page(s) : 41p. Langues : Anglais (eng) Mots-clés : Humans  Child, Preschool  Autistic Disorder/diagnostic imaging/diagnosis  Female  Male  Child  Phenotype  Imaging, Three-Dimensional  Clustering  Gene expression  Stratification  Subtypes  fMRI  for the Collection in this journal entitled 'Neuroimaging in Autism Spectrum  Disorders'. All other authors have no competing interests to declare. Index. décimale : PER Périodiques Résumé : BACKGROUND: Phenotypic heterogeneity in early language, intellectual, motor, and adaptive functioning (LIMA) features are amongst the most striking features that distinguish different types of autistic individuals. Yet the current diagnostic criteria uses a single label of autism and implicitly emphasizes what individuals have in common as core social-communicative and restricted repetitive behavior difficulties. Subtype labels based on the non-core LIMA features may help to more meaningfully distinguish types of autisms with differing developmental paths and differential underlying biology. METHODS: Unsupervised data-driven subtypes were identified using stability-based relative clustering validation on publicly available Mullen Scales of Early Learning (MSEL) and Vineland Adaptive Behavior Scales (VABS) data (n = 615; age = 24-68 months) from the National Institute of Mental Health Data Archive (NDA). Differential developmental trajectories between subtypes were tested on longitudinal data from NDA and from an independent in-house dataset from UCSD. A subset of the UCSD dataset was also tested for subtype differences in functional and structural neuroimaging phenotypes and relationships with blood gene expression. The current subtyping model was also compared to early language outcome subtypes derived from past work. RESULTS: Two autism subtypes can be identified based on early phenotypic LIMA features. These data-driven subtypes are robust in the population and can be identified in independent data with 98% accuracy. The subtypes can be described as Type I versus Type II autisms differentiated by relatively high versus low scores on LIMA features. These two types of autisms are also distinguished by different developmental trajectories over the first decade of life. Finally, these two types of autisms reveal striking differences in functional and structural neuroimaging phenotypes and their relationships with gene expression and may highlight unique biological mechanisms. LIMITATIONS: Sample sizes for the neuroimaging and gene expression dataset are relatively small and require further independent replication. The current work is also limited to subtyping based on MSEL and VABS phenotypic measures. CONCLUSIONS: This work emphasizes the potential importance of stratifying autism by a Type I versus Type II distinction focused on LIMA features and which may be of high prognostic and biological significance. En ligne : https://dx.doi.org/10.1186/s13229-024-00613-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] A 3D approach to understanding heterogeneity in early developing autisms [texte imprimé] / Veronica MANDELLI, Auteur ; Ines SEVERINO, Auteur ; Lisa T. EYLER, Auteur ; Karen PIERCE, Auteur ; Eric COURCHESNE, Auteur ; Michael V. LOMBARDO, Auteur . - 41p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 41p. Mots-clés : Humans  Child, Preschool  Autistic Disorder/diagnostic imaging/diagnosis  Female  Male  Child  Phenotype  Imaging, Three-Dimensional  Clustering  Gene expression  Stratification  Subtypes  fMRI  for the Collection in this journal entitled 'Neuroimaging in Autism Spectrum  Disorders'. All other authors have no competing interests to declare. Index. décimale : PER Périodiques Résumé : BACKGROUND: Phenotypic heterogeneity in early language, intellectual, motor, and adaptive functioning (LIMA) features are amongst the most striking features that distinguish different types of autistic individuals. Yet the current diagnostic criteria uses a single label of autism and implicitly emphasizes what individuals have in common as core social-communicative and restricted repetitive behavior difficulties. Subtype labels based on the non-core LIMA features may help to more meaningfully distinguish types of autisms with differing developmental paths and differential underlying biology. METHODS: Unsupervised data-driven subtypes were identified using stability-based relative clustering validation on publicly available Mullen Scales of Early Learning (MSEL) and Vineland Adaptive Behavior Scales (VABS) data (n = 615; age = 24-68 months) from the National Institute of Mental Health Data Archive (NDA). Differential developmental trajectories between subtypes were tested on longitudinal data from NDA and from an independent in-house dataset from UCSD. A subset of the UCSD dataset was also tested for subtype differences in functional and structural neuroimaging phenotypes and relationships with blood gene expression. The current subtyping model was also compared to early language outcome subtypes derived from past work. RESULTS: Two autism subtypes can be identified based on early phenotypic LIMA features. These data-driven subtypes are robust in the population and can be identified in independent data with 98% accuracy. The subtypes can be described as Type I versus Type II autisms differentiated by relatively high versus low scores on LIMA features. These two types of autisms are also distinguished by different developmental trajectories over the first decade of life. Finally, these two types of autisms reveal striking differences in functional and structural neuroimaging phenotypes and their relationships with gene expression and may highlight unique biological mechanisms. LIMITATIONS: Sample sizes for the neuroimaging and gene expression dataset are relatively small and require further independent replication. The current work is also limited to subtyping based on MSEL and VABS phenotypic measures. CONCLUSIONS: This work emphasizes the potential importance of stratifying autism by a Type I versus Type II distinction focused on LIMA features and which may be of high prognostic and biological significance. En ligne : https://dx.doi.org/10.1186/s13229-024-00613-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538

Abnormalities in brain systems supporting individuation and enumeration in autism / Kirsten O'HEARN in Autism Research, 9-1 (January 2016)  

Public ISBD [article]  inAutism Research > 9-1 (January 2016) . - p.82-96 Titre : Abnormalities in brain systems supporting individuation and enumeration in autism Type de document : texte imprimé Auteurs : Kirsten O'HEARN, Auteur ; Katerina VELANOVA, Auteur ; Andrew LYNN, Auteur ; Catherine WRIGHT, Auteur ; Michael HALLQUIST, Auteur ; Nancy J. MINSHEW, Auteur ; Beatriz LUNA, Auteur Article en page(s) : p.82-96 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  fMRI  parietal  number  subitizing  counting Index. décimale : PER Périodiques Résumé : Previous work indicates that adults with autism display a decreased capacity when rapidly enumerating small sets of elements (i.e., subitizing), compared to typically developing (TD) individuals. This ability is crucial for fundamental visual functions such as object individuation and parallel processing. Thus, the deficit in autism suggests limits in these skills. To examine the neural basis of this limitation, adults with and without high functioning autism rapidly enumerated 1 to 8 randomly located squares during a neuroimaging study. Typically, adults are thought to use parallel visual processes to quantify up to three or four elements, and serial processes to enumerate more (5+) elements. We hypothesized that parietal lobe regions associated with counting would be recruited with smaller sets of elements in adults with autism, compared to TD adults. Consistent with this hypothesis, activation in parietal regions increased with smaller set sizes in adults with autism compared to TD adults. Increased activation for three elements was evident in several regions, including those thought to underlie subitizing. In addition, regions specific to the counting range in TD adults were often equally active for set sizes in the subitizing range in the adults with autism. Finally, significant deactivation was evident in TD adults, presumably reflecting relative suppression of regions specialized for competing processes, but was not apparent in adults with autism. These differences in brain function in adults with autism on a simple enumeration task suggest atypical brain organization and function that is likely to impact most visual tasks, especially those with multiple elements. En ligne : http://dx.doi.org/10.1002/aur.1498 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=282 [article] Abnormalities in brain systems supporting individuation and enumeration in autism [texte imprimé] / Kirsten O'HEARN, Auteur ; Katerina VELANOVA, Auteur ; Andrew LYNN, Auteur ; Catherine WRIGHT, Auteur ; Michael HALLQUIST, Auteur ; Nancy J. MINSHEW, Auteur ; Beatriz LUNA, Auteur . - p.82-96. Langues : Anglais (eng) in Autism Research > 9-1 (January 2016) . - p.82-96 Mots-clés : autism spectrum disorder  fMRI  parietal  number  subitizing  counting Index. décimale : PER Périodiques Résumé : Previous work indicates that adults with autism display a decreased capacity when rapidly enumerating small sets of elements (i.e., subitizing), compared to typically developing (TD) individuals. This ability is crucial for fundamental visual functions such as object individuation and parallel processing. Thus, the deficit in autism suggests limits in these skills. To examine the neural basis of this limitation, adults with and without high functioning autism rapidly enumerated 1 to 8 randomly located squares during a neuroimaging study. Typically, adults are thought to use parallel visual processes to quantify up to three or four elements, and serial processes to enumerate more (5+) elements. We hypothesized that parietal lobe regions associated with counting would be recruited with smaller sets of elements in adults with autism, compared to TD adults. Consistent with this hypothesis, activation in parietal regions increased with smaller set sizes in adults with autism compared to TD adults. Increased activation for three elements was evident in several regions, including those thought to underlie subitizing. In addition, regions specific to the counting range in TD adults were often equally active for set sizes in the subitizing range in the adults with autism. Finally, significant deactivation was evident in TD adults, presumably reflecting relative suppression of regions specialized for competing processes, but was not apparent in adults with autism. These differences in brain function in adults with autism on a simple enumeration task suggest atypical brain organization and function that is likely to impact most visual tasks, especially those with multiple elements. En ligne : http://dx.doi.org/10.1002/aur.1498 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=282

ADHD-related sex differences in fronto-subcortical intrinsic functional connectivity and associations with delay discounting / Keri S. ROSCH in Journal of Neurodevelopmental Disorders, 10-1 (December 2018)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 10-1 (December 2018) . - 34 p. Titre : ADHD-related sex differences in fronto-subcortical intrinsic functional connectivity and associations with delay discounting Type de document : texte imprimé Auteurs : Keri S. ROSCH, Auteur ; Stewart H. MOSTOFSKY, Auteur ; Mary Beth NEBEL, Auteur Année de publication : 2018 Article en page(s) : 34 p. Langues : Anglais (eng) Mots-clés : Adhd  Delay discounting  Functional connectivity  Ica  Resting-state  Reward  Temporal discounting  fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is associated with atypical fronto-subcortical neural circuitry and heightened delay discounting, or a stronger preference for smaller, immediate rewards over larger, delayed rewards. Recent evidence of ADHD-related sex differences in brain structure and function suggests anomalies in fronto-subcortical circuitry may differ among girls and boys with ADHD. The current study examined whether the functional connectivity (FC) within fronto-subcortical neural circuitry differs among girls and boys with ADHD compared to same-sex typically developing (TD) controls and relates to delay discounting. METHODS: Participants include 8-12-year-old children with ADHD (n = 72, 20 girls) and TD controls (n = 75, 21 girls). Fronto-subcortical regions of interest were functionally defined by applying independent component analysis to resting-state fMRI data. Intrinsic FC between subcortical components, including the striatum and amygdala, and prefrontal components, including ventromedial prefrontal cortex (vmPFC), anterior cingulate cortex (ACC), and anterior dorsolateral prefrontal cortex (dlPFC), was compared across diagnostic groups overall and within sex. Correlations between intrinsic FC of the six fronto-subcortical pairs and delay discounting were also examined. RESULTS: Both girls and boys with ADHD show atypical FC between vmPFC and subcortical regions including the striatum (stronger positive FC in ADHD) and amygdala (weaker negative FC in ADHD), with the greatest diagnostic effects among girls. In addition, girls with ADHD show atypical intrinsic FC between the striatum and dlPFC components, including stronger positive FC with ACC and stronger negative FC with dlPFC. Further, girls but not boys, with ADHD, show heightened real-time delay discounting. Brain-behavior correlations suggest (1) stronger negative FC between the striatal and dlPFC components correlated with greater money delay discounting across all participants and (2) stronger FC between the amygdala with both the dlPFC and ACC components was differentially related to heightened real-time discounting among girls and boys with and without ADHD. CONCLUSIONS: Our findings suggest fronto-subcortical functional networks are affected in children with ADHD, particularly girls, and relate to delay discounting. These results also provide preliminary evidence of greater disruptions in fronto-subcortical FC among girls with ADHD that is not due to elevated inattention symptom severity, intellectual reasoning ability, age, or head motion. En ligne : http://dx.doi.org/10.1186/s11689-018-9254-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=386 [article] ADHD-related sex differences in fronto-subcortical intrinsic functional connectivity and associations with delay discounting [texte imprimé] / Keri S. ROSCH, Auteur ; Stewart H. MOSTOFSKY, Auteur ; Mary Beth NEBEL, Auteur . - 2018 . - 34 p. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 10-1 (December 2018) . - 34 p. Mots-clés : Adhd  Delay discounting  Functional connectivity  Ica  Resting-state  Reward  Temporal discounting  fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is associated with atypical fronto-subcortical neural circuitry and heightened delay discounting, or a stronger preference for smaller, immediate rewards over larger, delayed rewards. Recent evidence of ADHD-related sex differences in brain structure and function suggests anomalies in fronto-subcortical circuitry may differ among girls and boys with ADHD. The current study examined whether the functional connectivity (FC) within fronto-subcortical neural circuitry differs among girls and boys with ADHD compared to same-sex typically developing (TD) controls and relates to delay discounting. METHODS: Participants include 8-12-year-old children with ADHD (n = 72, 20 girls) and TD controls (n = 75, 21 girls). Fronto-subcortical regions of interest were functionally defined by applying independent component analysis to resting-state fMRI data. Intrinsic FC between subcortical components, including the striatum and amygdala, and prefrontal components, including ventromedial prefrontal cortex (vmPFC), anterior cingulate cortex (ACC), and anterior dorsolateral prefrontal cortex (dlPFC), was compared across diagnostic groups overall and within sex. Correlations between intrinsic FC of the six fronto-subcortical pairs and delay discounting were also examined. RESULTS: Both girls and boys with ADHD show atypical FC between vmPFC and subcortical regions including the striatum (stronger positive FC in ADHD) and amygdala (weaker negative FC in ADHD), with the greatest diagnostic effects among girls. In addition, girls with ADHD show atypical intrinsic FC between the striatum and dlPFC components, including stronger positive FC with ACC and stronger negative FC with dlPFC. Further, girls but not boys, with ADHD, show heightened real-time delay discounting. Brain-behavior correlations suggest (1) stronger negative FC between the striatal and dlPFC components correlated with greater money delay discounting across all participants and (2) stronger FC between the amygdala with both the dlPFC and ACC components was differentially related to heightened real-time discounting among girls and boys with and without ADHD. CONCLUSIONS: Our findings suggest fronto-subcortical functional networks are affected in children with ADHD, particularly girls, and relate to delay discounting. These results also provide preliminary evidence of greater disruptions in fronto-subcortical FC among girls with ADHD that is not due to elevated inattention symptom severity, intellectual reasoning ability, age, or head motion. En ligne : http://dx.doi.org/10.1186/s11689-018-9254-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=386

Adolescents' neural reactivity to acute psychosocial stress: dysfunctional regulation habits are linked to temporal gyrus response / Sabrina GOLDE in Development and Psychopathology, 35-1 (February 2023)  

Public ISBD [article]  inDevelopment and Psychopathology > 35-1 (February 2023) . - p.332-344 Titre : Adolescents' neural reactivity to acute psychosocial stress: dysfunctional regulation habits are linked to temporal gyrus response Type de document : texte imprimé Auteurs : Sabrina GOLDE, Auteur ; Tobias GLEICH, Auteur ; Lydia ROMUND, Auteur ; Anna STIPPL, Auteur ; Patricia PELZ, Auteur ; Diana RAUFELDER, Auteur ; Robert C. LORENZ, Auteur ; Anne BECK, Auteur Article en page(s) : p.332-344 Langues : Anglais (eng) Mots-clés : emotion regulation strategies  fMRI  mid-adolescence  Montreal imaging stress task (MIST)  psychosocial stress Index. décimale : PER Périodiques Résumé : Mid-adolescence is a critical time for the development of stress-related disorders and it is associated with significant social vulnerability. However, little is known about normative neural processes accompanying psychosocial stress at this time. Previous research found that emotion regulation strategies critically influence the relationship between stress and the development of psychiatric symptoms during adolescence. Using functional magnetic resonance imaging (fMRI), we examined neural responses to acute stress and analyzed whether the tendency to use adaptive or maladaptive emotion regulation strategies is related to neural and autonomic stress responses. Results show large linear activation increases from low to medium to high stress levels mainly in medial prefrontal, insulae and temporal areas. Caudate and subgenual anterior cingulate cortex, neural areas related to reward and affective valuations, showed linearly decreasing activation. In line with our hypothesis, the current adolescent neural stress profile resembled social rejection and was characterized by pronounced activation in insula, angular and temporal cortices. Moreover, results point to an intriguing role of the anterior temporal gyrus. Stress-related activity in the anterior temporal gyrus was positively related to maladaptive regulation strategies and stress-induced autonomic activity. Maladaptive coping might increase the social threat and reappraisal load of a stressor, relating to higher stress sensitivity of anterior temporal cortices. En ligne : https://doi.org/10.1017/S0954579421000572 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499 [article] Adolescents' neural reactivity to acute psychosocial stress: dysfunctional regulation habits are linked to temporal gyrus response [texte imprimé] / Sabrina GOLDE, Auteur ; Tobias GLEICH, Auteur ; Lydia ROMUND, Auteur ; Anna STIPPL, Auteur ; Patricia PELZ, Auteur ; Diana RAUFELDER, Auteur ; Robert C. LORENZ, Auteur ; Anne BECK, Auteur . - p.332-344. Langues : Anglais (eng) in Development and Psychopathology > 35-1 (February 2023) . - p.332-344 Mots-clés : emotion regulation strategies  fMRI  mid-adolescence  Montreal imaging stress task (MIST)  psychosocial stress Index. décimale : PER Périodiques Résumé : Mid-adolescence is a critical time for the development of stress-related disorders and it is associated with significant social vulnerability. However, little is known about normative neural processes accompanying psychosocial stress at this time. Previous research found that emotion regulation strategies critically influence the relationship between stress and the development of psychiatric symptoms during adolescence. Using functional magnetic resonance imaging (fMRI), we examined neural responses to acute stress and analyzed whether the tendency to use adaptive or maladaptive emotion regulation strategies is related to neural and autonomic stress responses. Results show large linear activation increases from low to medium to high stress levels mainly in medial prefrontal, insulae and temporal areas. Caudate and subgenual anterior cingulate cortex, neural areas related to reward and affective valuations, showed linearly decreasing activation. In line with our hypothesis, the current adolescent neural stress profile resembled social rejection and was characterized by pronounced activation in insula, angular and temporal cortices. Moreover, results point to an intriguing role of the anterior temporal gyrus. Stress-related activity in the anterior temporal gyrus was positively related to maladaptive regulation strategies and stress-induced autonomic activity. Maladaptive coping might increase the social threat and reappraisal load of a stressor, relating to higher stress sensitivity of anterior temporal cortices. En ligne : https://doi.org/10.1017/S0954579421000572 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=499

Advanced ASD detection through facial and fMRI data integration with attention guidance / B. MAGESH KUMAR in Research in Autism, 130 (February 2026)  

Public ISBD [article]  inResearch in Autism > 130 (February 2026) . - p.202766 Titre : Advanced ASD detection through facial and fMRI data integration with attention guidance Type de document : texte imprimé Auteurs : B. MAGESH KUMAR, Auteur ; K. PREMALATHA, Auteur ; S. JOTHIMANI, Auteur Article en page(s) : p.202766 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder  Multimodal Fusion  FMRI  Facial Images  Attention Mechanism  Deep Learning  Neuroimaging Index. décimale : PER Périodiques Résumé : Diagnosing Autism Spectrum Disorder (ASD) quickly and reliably has long frustrated clinicians because the condition arises from intricate brain development and depends almost entirely on behavioural signs. To overcome this problem, we present a mixed deep-learning system that pairs facial-image analysis with resting-fMRI scans to more precisely detect ASD. Each input type passes through its pre-processing chain, winning out over noise, misalignment, and across-subject differences that can cloud analysis. Facial pictures are aligned using keypoint landmarks and contrast enhancement, while fMRI volumes undergo motion correction, Gaussian smoothing, and ICA-AROMA-based artifact cleaning. Critical characteristics are then extracted from the two channels by distinct convolutional networks and integrated by an attention-driven fusion layer that learns to highlight the most informative areas. As a result, the final multimodal classifier can use complementary facial and neural cues to produce more distinct lines between normal and abnormal development. Experimental evaluation, conducted using stratified 5-fold cross-validation, demonstrated that the proposed multimodal framework achieved a test accuracy of 95.24 %, precision of 95.00 %, recall of 95.50 %, and F1-score of 95.25 %, outperforming the unimodal baseline. Visualization of intermediate feature maps confirmed that the Model focuses on salient regions in both facial and neurofunctional modalities. These results highlight the potential of the proposed multimodal approach as a reliable and interpretable diagnostic tool for clinical detection of ASD. En ligne : https://doi.org/10.1016/j.reia.2025.202766 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=579 [article] Advanced ASD detection through facial and fMRI data integration with attention guidance [texte imprimé] / B. MAGESH KUMAR, Auteur ; K. PREMALATHA, Auteur ; S. JOTHIMANI, Auteur . - p.202766. Langues : Anglais (eng) in Research in Autism > 130 (February 2026) . - p.202766 Mots-clés : Autism Spectrum Disorder  Multimodal Fusion  FMRI  Facial Images  Attention Mechanism  Deep Learning  Neuroimaging Index. décimale : PER Périodiques Résumé : Diagnosing Autism Spectrum Disorder (ASD) quickly and reliably has long frustrated clinicians because the condition arises from intricate brain development and depends almost entirely on behavioural signs. To overcome this problem, we present a mixed deep-learning system that pairs facial-image analysis with resting-fMRI scans to more precisely detect ASD. Each input type passes through its pre-processing chain, winning out over noise, misalignment, and across-subject differences that can cloud analysis. Facial pictures are aligned using keypoint landmarks and contrast enhancement, while fMRI volumes undergo motion correction, Gaussian smoothing, and ICA-AROMA-based artifact cleaning. Critical characteristics are then extracted from the two channels by distinct convolutional networks and integrated by an attention-driven fusion layer that learns to highlight the most informative areas. As a result, the final multimodal classifier can use complementary facial and neural cues to produce more distinct lines between normal and abnormal development. Experimental evaluation, conducted using stratified 5-fold cross-validation, demonstrated that the proposed multimodal framework achieved a test accuracy of 95.24 %, precision of 95.00 %, recall of 95.50 %, and F1-score of 95.25 %, outperforming the unimodal baseline. Visualization of intermediate feature maps confirmed that the Model focuses on salient regions in both facial and neurofunctional modalities. These results highlight the potential of the proposed multimodal approach as a reliable and interpretable diagnostic tool for clinical detection of ASD. En ligne : https://doi.org/10.1016/j.reia.2025.202766 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=579

Affective neural response to restricted interests in autism spectrum disorders / Carissa J. CASCIO in Journal of Child Psychology and Psychiatry, 55-2 (February 2014)  

Permalink

Age group differences in executive network functional connectivity and relationships with social behavior in men with autism spectrum disorder / Melissa J.M. WALSH in Research in Autism Spectrum Disorders, 63 (July 2019)  

Permalink

Age-related changes in neural responses to sensory stimulation in autism: a cross-sectional study / Kaitlin K. CUMMINGS ; Susan Y. BOOKHEIMER ; Mirella DAPRETTO ; Shulamite A. GREEN in Molecular Autism, 14 (2023)  

Permalink

Altered Medial Frontal and Superior Temporal Response to Implicit Processing of Emotions in Autism / Rajesh K. KANA in Autism Research, 9-1 (January 2016)  

Permalink

Altered neural response to rejection-related words in children exposed to maltreatment / Vanessa B. PUETZ in Journal of Child Psychology and Psychiatry, 57-10 (October 2016)  

Permalink