8 recherche sur le mot-clé 'Brain Mapping/methods'

Mapping neural correlates of biological motion perception in autistic children using high-density diffuse optical tomography / Dalin YANG in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 35p. Titre : Mapping neural correlates of biological motion perception in autistic children using high-density diffuse optical tomography Type de document : Texte imprimé et/ou numérique Auteurs : Dalin YANG, Auteur ; Alexandra M. SVOBODA, Auteur ; Tessa G. GEORGE, Auteur ; Patricia K. MANSFIELD, Auteur ; Muriah D. WHEELOCK, Auteur ; Mariel L. SCHROEDER, Auteur ; Sean M. RAFFERTY, Auteur ; Arefeh SHERAFATI, Auteur ; Kalyan TRIPATHY, Auteur ; Tracy BURNS-YOCUM, Auteur ; Elizabeth FORSEN, Auteur ; John R. PRUETT, Auteur ; Natasha M. MARRUS, Auteur ; Joseph P CULVER, Auteur ; John N. CONSTANTINO, Auteur ; Adam T. EGGEBRECHT, Auteur Article en page(s) : 35p. Langues : Anglais (eng) Mots-clés : Humans  Tomography, Optical/methods  Male  Child  Female  Motion Perception/physiology  Brain Mapping/methods  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Brain/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology/diagnostic imaging  Magnetic Resonance Imaging/methods  Adolescent  Autism spectrum disorder  Biological motion  High-density diffuse optical tomography  Neuroimaging  Social perception Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD), a neurodevelopmental disorder defined by social communication deficits plus repetitive behaviors and restricted interests, currently affects 1/36 children in the general population. Recent advances in functional brain imaging show promise to provide useful biomarkers of ASD diagnostic likelihood, behavioral trait severity, and even response to therapeutic intervention. However, current gold-standard neuroimaging methods (e.g., functional magnetic resonance imaging, fMRI) are limited in naturalistic studies of brain function underlying ASD-associated behaviors due to the constrained imaging environment. Compared to fMRI, high-density diffuse optical tomography (HD-DOT), a non-invasive and minimally constraining optical neuroimaging modality, can overcome these limitations. Herein, we aimed to establish HD-DOT to evaluate brain function in autistic and non-autistic school-age children as they performed a biological motion perception task previously shown to yield results related to both ASD diagnosis and behavioral traits. METHODS: We used HD-DOT to image brain function in 46 ASD school-age participants and 49 non-autistic individuals (NAI) as they viewed dynamic point-light displays of coherent biological and scrambled motion. We assessed group-level cortical brain function with statistical parametric mapping. Additionally, we tested for brain-behavior associations with dimensional metrics of autism traits, as measured with the Social Responsiveness Scale-2, with hierarchical regression models. RESULTS: We found that NAI participants presented stronger brain activity contrast (coherent > scrambled) than ASD children in cortical regions related to visual, motor, and social processing. Additionally, regression models revealed multiple cortical regions in autistic participants where brain function is significantly associated with dimensional measures of ASD traits. LIMITATIONS: Optical imaging methods are limited in depth sensitivity and so cannot measure brain activity within deep subcortical regions. However, the field of view of this HD-DOT system includes multiple brain regions previously implicated in both task-based and task-free studies on autism. CONCLUSIONS: This study demonstrates that HD-DOT is sensitive to brain function that both differentiates between NAI and ASD groups and correlates with dimensional measures of ASD traits. These findings establish HD-DOT as an effective tool for investigating brain function in autistic and non-autistic children. Moreover, this study established neural correlates related to biological motion perception and its association with dimensional measures of ASD traits. En ligne : https://dx.doi.org/10.1186/s13229-024-00614-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] Mapping neural correlates of biological motion perception in autistic children using high-density diffuse optical tomography [Texte imprimé et/ou numérique] / Dalin YANG, Auteur ; Alexandra M. SVOBODA, Auteur ; Tessa G. GEORGE, Auteur ; Patricia K. MANSFIELD, Auteur ; Muriah D. WHEELOCK, Auteur ; Mariel L. SCHROEDER, Auteur ; Sean M. RAFFERTY, Auteur ; Arefeh SHERAFATI, Auteur ; Kalyan TRIPATHY, Auteur ; Tracy BURNS-YOCUM, Auteur ; Elizabeth FORSEN, Auteur ; John R. PRUETT, Auteur ; Natasha M. MARRUS, Auteur ; Joseph P CULVER, Auteur ; John N. CONSTANTINO, Auteur ; Adam T. EGGEBRECHT, Auteur . - 35p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 35p. Mots-clés : Humans  Tomography, Optical/methods  Male  Child  Female  Motion Perception/physiology  Brain Mapping/methods  Autism Spectrum Disorder/diagnostic imaging/physiopathology  Brain/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology/diagnostic imaging  Magnetic Resonance Imaging/methods  Adolescent  Autism spectrum disorder  Biological motion  High-density diffuse optical tomography  Neuroimaging  Social perception Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD), a neurodevelopmental disorder defined by social communication deficits plus repetitive behaviors and restricted interests, currently affects 1/36 children in the general population. Recent advances in functional brain imaging show promise to provide useful biomarkers of ASD diagnostic likelihood, behavioral trait severity, and even response to therapeutic intervention. However, current gold-standard neuroimaging methods (e.g., functional magnetic resonance imaging, fMRI) are limited in naturalistic studies of brain function underlying ASD-associated behaviors due to the constrained imaging environment. Compared to fMRI, high-density diffuse optical tomography (HD-DOT), a non-invasive and minimally constraining optical neuroimaging modality, can overcome these limitations. Herein, we aimed to establish HD-DOT to evaluate brain function in autistic and non-autistic school-age children as they performed a biological motion perception task previously shown to yield results related to both ASD diagnosis and behavioral traits. METHODS: We used HD-DOT to image brain function in 46 ASD school-age participants and 49 non-autistic individuals (NAI) as they viewed dynamic point-light displays of coherent biological and scrambled motion. We assessed group-level cortical brain function with statistical parametric mapping. Additionally, we tested for brain-behavior associations with dimensional metrics of autism traits, as measured with the Social Responsiveness Scale-2, with hierarchical regression models. RESULTS: We found that NAI participants presented stronger brain activity contrast (coherent > scrambled) than ASD children in cortical regions related to visual, motor, and social processing. Additionally, regression models revealed multiple cortical regions in autistic participants where brain function is significantly associated with dimensional measures of ASD traits. LIMITATIONS: Optical imaging methods are limited in depth sensitivity and so cannot measure brain activity within deep subcortical regions. However, the field of view of this HD-DOT system includes multiple brain regions previously implicated in both task-based and task-free studies on autism. CONCLUSIONS: This study demonstrates that HD-DOT is sensitive to brain function that both differentiates between NAI and ASD groups and correlates with dimensional measures of ASD traits. These findings establish HD-DOT as an effective tool for investigating brain function in autistic and non-autistic children. Moreover, this study established neural correlates related to biological motion perception and its association with dimensional measures of ASD traits. En ligne : https://dx.doi.org/10.1186/s13229-024-00614-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538

Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder / Xiaonan GUO in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 52 p. Titre : Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Xiaonan GUO, Auteur ; Guangjin ZHAI, Auteur ; Junfeng LIU, Auteur ; Yabo CAO, Auteur ; Xia ZHANG, Auteur ; Dong CUI, Auteur ; Le GAO, Auteur Article en page(s) : 52 p. Langues : Anglais (eng) Mots-clés : Humans  Male  Child  Autism Spectrum Disorder/diagnostic imaging  Brain Mapping/methods  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging  Autistic Disorder  Neural Pathways/diagnostic imaging  Autism spectrum disorder  Functional connectivity  Functional magnetic resonance imaging  Subtype  k-means clustering Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical heterogeneity. This study aimed to explore the heterogeneity of ASD based on inter-individual heterogeneity of functional brain networks. METHODS: Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were used in this study for 105 children with ASD and 102 demographically matched typical controls (TC) children. Functional connectivity (FC) networks were first obtained for ASD and TC groups, and inter-individual deviation of functional connectivity (IDFC) from the TC group was then calculated for each individual with ASD. A k-means clustering algorithm was used to obtain ASD subtypes based on IDFC patterns. The FC patterns were further compared between ASD subtypes and the TC group from the brain region, network, and whole-brain levels. The relationship between IDFC and the severity of clinical symptoms of ASD for ASD subtypes was also analyzed using a support vector regression model. RESULTS: Two ASD subtypes were identified based on the IDFC patterns. Compared with the TC group, the ASD subtype 1 group exhibited a hypoconnectivity pattern and the ASD subtype 2 group exhibited a hyperconnectivity pattern. IDFC for ASD subtype 1 and subtype 2 was found to predict the severity of social communication impairments and the severity of restricted and repetitive behaviors in ASD, respectively. LIMITATIONS: Only male children were selected for this study, which limits the ability to study the effects of gender and development on ASD heterogeneity. CONCLUSIONS: These results suggest the existence of subtypes with different FC patterns in ASD and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD. En ligne : http://dx.doi.org/10.1186/s13229-022-00535-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491 [article] Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder [Texte imprimé et/ou numérique] / Xiaonan GUO, Auteur ; Guangjin ZHAI, Auteur ; Junfeng LIU, Auteur ; Yabo CAO, Auteur ; Xia ZHANG, Auteur ; Dong CUI, Auteur ; Le GAO, Auteur . - 52 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 52 p. Mots-clés : Humans  Male  Child  Autism Spectrum Disorder/diagnostic imaging  Brain Mapping/methods  Magnetic Resonance Imaging/methods  Brain/diagnostic imaging  Autistic Disorder  Neural Pathways/diagnostic imaging  Autism spectrum disorder  Functional connectivity  Functional magnetic resonance imaging  Subtype  k-means clustering Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical heterogeneity. This study aimed to explore the heterogeneity of ASD based on inter-individual heterogeneity of functional brain networks. METHODS: Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were used in this study for 105 children with ASD and 102 demographically matched typical controls (TC) children. Functional connectivity (FC) networks were first obtained for ASD and TC groups, and inter-individual deviation of functional connectivity (IDFC) from the TC group was then calculated for each individual with ASD. A k-means clustering algorithm was used to obtain ASD subtypes based on IDFC patterns. The FC patterns were further compared between ASD subtypes and the TC group from the brain region, network, and whole-brain levels. The relationship between IDFC and the severity of clinical symptoms of ASD for ASD subtypes was also analyzed using a support vector regression model. RESULTS: Two ASD subtypes were identified based on the IDFC patterns. Compared with the TC group, the ASD subtype 1 group exhibited a hypoconnectivity pattern and the ASD subtype 2 group exhibited a hyperconnectivity pattern. IDFC for ASD subtype 1 and subtype 2 was found to predict the severity of social communication impairments and the severity of restricted and repetitive behaviors in ASD, respectively. LIMITATIONS: Only male children were selected for this study, which limits the ability to study the effects of gender and development on ASD heterogeneity. CONCLUSIONS: These results suggest the existence of subtypes with different FC patterns in ASD and provide insight into the complex pathophysiological mechanism of clinical manifestations of ASD. En ligne : http://dx.doi.org/10.1186/s13229-022-00535-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=491

Sex Differences in Functional Connectivity Between Resting State Brain Networks in Autism Spectrum Disorder / Vânia TAVARES in Journal of Autism and Developmental Disorders, 52-7 (July 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-7 (July 2022) . - p.3088-3101 Titre : Sex Differences in Functional Connectivity Between Resting State Brain Networks in Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Vânia TAVARES, Auteur ; Luís Afonso FERNANDES, Auteur ; Marília ANTUNES, Auteur ; Hugo FERREIRA, Auteur ; Diana PRATA, Auteur Article en page(s) : p.3088-3101 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping/methods  Female  Humans  Magnetic Resonance Imaging/methods  Male  Neural Pathways  Sex Characteristics  Autism spectrum disorder  Functional connectivity  Functional magnetic resonance imaging  Independent component analysis  Resting-state networks Index. décimale : PER Périodiques Résumé : Functional brain connectivity (FBC) has previously been examined in autism spectrum disorder (ASD) between-resting-state networks (RSNs) using a highly sensitive and reproducible hypothesis-free approach. However, results have been inconsistent and sex differences have only recently been taken into consideration using this approach. We estimated main effects of diagnosis and sex and a diagnosis by sex interaction on between-RSNs FBC in 83 ASD (40 females/43 males) and 85 typically developing controls (TC; 43 females/42 males). We found increased connectivity between the default mode (DM) and (a) the executive control networks in ASD (vs. TC); (b) the cerebellum networks in males (vs. females); and (c) female-specific altered connectivity involving visual, language and basal ganglia (BG) networks in ASD-in suggestive compatibility with ASD cognitive and neuroscientific theories. En ligne : http://dx.doi.org/10.1007/s10803-021-05191-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 [article] Sex Differences in Functional Connectivity Between Resting State Brain Networks in Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Vânia TAVARES, Auteur ; Luís Afonso FERNANDES, Auteur ; Marília ANTUNES, Auteur ; Hugo FERREIRA, Auteur ; Diana PRATA, Auteur . - p.3088-3101. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-7 (July 2022) . - p.3088-3101 Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping/methods  Female  Humans  Magnetic Resonance Imaging/methods  Male  Neural Pathways  Sex Characteristics  Autism spectrum disorder  Functional connectivity  Functional magnetic resonance imaging  Independent component analysis  Resting-state networks Index. décimale : PER Périodiques Résumé : Functional brain connectivity (FBC) has previously been examined in autism spectrum disorder (ASD) between-resting-state networks (RSNs) using a highly sensitive and reproducible hypothesis-free approach. However, results have been inconsistent and sex differences have only recently been taken into consideration using this approach. We estimated main effects of diagnosis and sex and a diagnosis by sex interaction on between-RSNs FBC in 83 ASD (40 females/43 males) and 85 typically developing controls (TC; 43 females/42 males). We found increased connectivity between the default mode (DM) and (a) the executive control networks in ASD (vs. TC); (b) the cerebellum networks in males (vs. females); and (c) female-specific altered connectivity involving visual, language and basal ganglia (BG) networks in ASD-in suggestive compatibility with ASD cognitive and neuroscientific theories. En ligne : http://dx.doi.org/10.1007/s10803-021-05191-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477

Altered functional organization within the insular cortex in adult males with high-functioning autism spectrum disorder: evidence from connectivity-based parcellation / T. YAMADA in Molecular Autism, 7 (2016)  

Public ISBD [article]  inMolecular Autism > 7 (2016) . - 41p. Titre : Altered functional organization within the insular cortex in adult males with high-functioning autism spectrum disorder: evidence from connectivity-based parcellation Type de document : Texte imprimé et/ou numérique Auteurs : T. YAMADA, Auteur ; T. ITAHASHI, Auteur ; M. NAKAMURA, Auteur ; H. WATANABE, Auteur ; M. KURODA, Auteur ; H. OHTA, Auteur ; C. KANAI, Auteur ; N. KATO, Auteur ; R. I. HASHIMOTO, Auteur Article en page(s) : 41p. Langues : Anglais (eng) Mots-clés : Adult  Autism Spectrum Disorder/diagnostic imaging/pathology/physiopathology  Brain Mapping/methods  Case-Control Studies  Cerebral Cortex/diagnostic imaging/pathology/physiopathology  Cluster Analysis  Functional Laterality  Humans  Image Interpretation, Computer-Assisted  Magnetic Resonance Imaging  Male  Middle Aged  Nerve Net/diagnostic imaging/pathology/physiopathology  Neural Pathways/diagnostic imaging/pathology/physiopathology  Autism spectrum disorder  Connectivity-based functional parcellation  Insula  Resting-state functional magnetic resonance imaging Index. décimale : PER Périodiques Résumé : BACKGROUND: The insular cortex comprises multiple functionally differentiated sub-regions, each of which has different patterns of connectivity with other brain regions. Such diverse connectivity patterns are thought to underlie a wide range of insular functions, including cognitive, affective, and sensorimotor processing, many of which are abnormal in autism spectrum disorder (ASD). Although past neuroimaging studies of ASD have shown structural and functional abnormalities in the insula, possible alterations in the sub-regional organization of the insula and the functional characteristics of each sub-region have not been examined in the ASD brain. METHODS: Resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired from 36 adult males with ASD and 38 matched typically developed (TD) controls. A data-driven clustering analysis was applied to rs-fMRI data of voxels in the left and right insula to automatically group voxels with similar intrinsic connectivity pattern into a cluster. After determining the optimal number of clusters based on information theoretic measures of variation of information and mutual information, functional parcellation patterns in both the left and the right insula were compared between the TD and ASD groups. Furthermore, functional profiles of each sub-region were meta-analytically decoded using Neurosynth and were compared between the groups. RESULTS: We observed notable alterations in the anterior sector of the left insula and the middle ventral sub-region of the right insula in the ASD brain. Meta-analytic decoding revealed that whereas the anterior sector of the left insula contained two functionally differentiated sub-regions for cognitive, sensorimotor, and emotional/affective functions in TD brain, only a single functional cluster for cognitive and sensorimotor functions was identified in the anterior sector in the ASD brain. In the right insula, the middle ventral sub-region, which is primarily specialized for sensory- and auditory-related functions, showed a significant volumetric increase in the ASD brain compared with the TD brain. CONCLUSIONS: The results indicate an altered organization of sub-regions in specific parts of the left and right insula of the ASD brain. The alterations in the left and right insula may constitute neural substrates underlying abnormalities in emotional/affective and sensory functions in ASD. En ligne : http://dx.doi.org/10.1186/s13229-016-0106-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329 [article] Altered functional organization within the insular cortex in adult males with high-functioning autism spectrum disorder: evidence from connectivity-based parcellation [Texte imprimé et/ou numérique] / T. YAMADA, Auteur ; T. ITAHASHI, Auteur ; M. NAKAMURA, Auteur ; H. WATANABE, Auteur ; M. KURODA, Auteur ; H. OHTA, Auteur ; C. KANAI, Auteur ; N. KATO, Auteur ; R. I. HASHIMOTO, Auteur . - 41p. Langues : Anglais (eng) in Molecular Autism > 7 (2016) . - 41p. Mots-clés : Adult  Autism Spectrum Disorder/diagnostic imaging/pathology/physiopathology  Brain Mapping/methods  Case-Control Studies  Cerebral Cortex/diagnostic imaging/pathology/physiopathology  Cluster Analysis  Functional Laterality  Humans  Image Interpretation, Computer-Assisted  Magnetic Resonance Imaging  Male  Middle Aged  Nerve Net/diagnostic imaging/pathology/physiopathology  Neural Pathways/diagnostic imaging/pathology/physiopathology  Autism spectrum disorder  Connectivity-based functional parcellation  Insula  Resting-state functional magnetic resonance imaging Index. décimale : PER Périodiques Résumé : BACKGROUND: The insular cortex comprises multiple functionally differentiated sub-regions, each of which has different patterns of connectivity with other brain regions. Such diverse connectivity patterns are thought to underlie a wide range of insular functions, including cognitive, affective, and sensorimotor processing, many of which are abnormal in autism spectrum disorder (ASD). Although past neuroimaging studies of ASD have shown structural and functional abnormalities in the insula, possible alterations in the sub-regional organization of the insula and the functional characteristics of each sub-region have not been examined in the ASD brain. METHODS: Resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired from 36 adult males with ASD and 38 matched typically developed (TD) controls. A data-driven clustering analysis was applied to rs-fMRI data of voxels in the left and right insula to automatically group voxels with similar intrinsic connectivity pattern into a cluster. After determining the optimal number of clusters based on information theoretic measures of variation of information and mutual information, functional parcellation patterns in both the left and the right insula were compared between the TD and ASD groups. Furthermore, functional profiles of each sub-region were meta-analytically decoded using Neurosynth and were compared between the groups. RESULTS: We observed notable alterations in the anterior sector of the left insula and the middle ventral sub-region of the right insula in the ASD brain. Meta-analytic decoding revealed that whereas the anterior sector of the left insula contained two functionally differentiated sub-regions for cognitive, sensorimotor, and emotional/affective functions in TD brain, only a single functional cluster for cognitive and sensorimotor functions was identified in the anterior sector in the ASD brain. In the right insula, the middle ventral sub-region, which is primarily specialized for sensory- and auditory-related functions, showed a significant volumetric increase in the ASD brain compared with the TD brain. CONCLUSIONS: The results indicate an altered organization of sub-regions in specific parts of the left and right insula of the ASD brain. The alterations in the left and right insula may constitute neural substrates underlying abnormalities in emotional/affective and sensory functions in ASD. En ligne : http://dx.doi.org/10.1186/s13229-016-0106-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=329

Reward- and threat-related neural function associated with risk and presence of depression in adolescents: a study using a composite risk score in Brazil / Leehyun YOON in Journal of Child Psychology and Psychiatry, 63-5 (May 2022)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 63-5 (May 2022) . - p.579-590 Titre : Reward- and threat-related neural function associated with risk and presence of depression in adolescents: a study using a composite risk score in Brazil Type de document : Texte imprimé et/ou numérique Auteurs : Leehyun YOON, Auteur ; Fernanda ROHRSETZER, Auteur ; Lucas BATTEL, Auteur ; Mauricio ANÉS, Auteur ; Pedro H. MANFRO, Auteur ; Luis A. ROHDE, Auteur ; Anna VIDUANI, Auteur ; Zuzanna ZAJKOWSKA, Auteur ; Valeria MONDELLI, Auteur ; Christian KIELING, Auteur ; Johnna R. SWARTZ, Auteur Article en page(s) : p.579-590 Langues : Anglais (eng) Mots-clés : Adolescent  Brain/diagnostic imaging  Brain Mapping/methods  Brazil/epidemiology  Depression/epidemiology  Humans  Magnetic Resonance Imaging/methods  Reward  Risk Factors  Depression  adolescence  functional MRI (fMRI) Index. décimale : PER Périodiques Résumé : BACKGROUND: Neuroimaging studies on adolescents at risk for depression have relied on a single risk factor and focused on adolescents in high-income countries. Using a composite risk score, this study aims to examine neural activity and connectivity associated with risk and presence of depression in adolescents in Brazil. METHODS: Depression risk was defined with the Identifying Depression Early in Adolescence Risk Score (IDEA-RS), calculated using a prognostic model that included 11 socio-demographic risk factors. Adolescents recruited from schools in Porto Alegre were classified into a low-risk (i.e., low IDEA-RS and no lifetime depression), high-risk (i.e., high IDEA-RS and no lifetime depression), or clinically depressed group (i.e., high IDEA-RS and depression diagnosis). One hundred fifty adolescents underwent a functional MRI scan while completing a reward-related gambling and a threat-related face-matching task. We compared group differences in activity and connectivity of the ventral striatum (VS) and amygdala during the gambling and face-matching tasks, respectively, and group differences in whole-brain neural activity. RESULTS: Although there was no group difference in reward-related VS or threat-related amygdala activity, the depressed group showed elevated VS activity to punishment relative to high-risk adolescents. The whole-brain analysis found reduced reward-related activity in the lateral prefrontal cortex of patients and high-risk adolescents compared with low-risk adolescents. Compared with low-risk adolescents, high-risk and depressed adolescents showed reduced threat-related left amygdala connectivity with thalamus, superior temporal gyrus, inferior parietal gyrus, precentral gyrus, and supplementary motor area. CONCLUSIONS: We identified neural correlates associated with risk and presence of depression in a well-characterized sample of adolescents. These findings enhance knowledge of the neurobiological underpinnings of risk and presence of depression in Brazil. Future longitudinal studies are needed to examine whether the observed neural patterns of high-risk adolescents predict the development of depression. En ligne : http://dx.doi.org/10.1111/jcpp.13496 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476 [article] Reward- and threat-related neural function associated with risk and presence of depression in adolescents: a study using a composite risk score in Brazil [Texte imprimé et/ou numérique] / Leehyun YOON, Auteur ; Fernanda ROHRSETZER, Auteur ; Lucas BATTEL, Auteur ; Mauricio ANÉS, Auteur ; Pedro H. MANFRO, Auteur ; Luis A. ROHDE, Auteur ; Anna VIDUANI, Auteur ; Zuzanna ZAJKOWSKA, Auteur ; Valeria MONDELLI, Auteur ; Christian KIELING, Auteur ; Johnna R. SWARTZ, Auteur . - p.579-590. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 63-5 (May 2022) . - p.579-590 Mots-clés : Adolescent  Brain/diagnostic imaging  Brain Mapping/methods  Brazil/epidemiology  Depression/epidemiology  Humans  Magnetic Resonance Imaging/methods  Reward  Risk Factors  Depression  adolescence  functional MRI (fMRI) Index. décimale : PER Périodiques Résumé : BACKGROUND: Neuroimaging studies on adolescents at risk for depression have relied on a single risk factor and focused on adolescents in high-income countries. Using a composite risk score, this study aims to examine neural activity and connectivity associated with risk and presence of depression in adolescents in Brazil. METHODS: Depression risk was defined with the Identifying Depression Early in Adolescence Risk Score (IDEA-RS), calculated using a prognostic model that included 11 socio-demographic risk factors. Adolescents recruited from schools in Porto Alegre were classified into a low-risk (i.e., low IDEA-RS and no lifetime depression), high-risk (i.e., high IDEA-RS and no lifetime depression), or clinically depressed group (i.e., high IDEA-RS and depression diagnosis). One hundred fifty adolescents underwent a functional MRI scan while completing a reward-related gambling and a threat-related face-matching task. We compared group differences in activity and connectivity of the ventral striatum (VS) and amygdala during the gambling and face-matching tasks, respectively, and group differences in whole-brain neural activity. RESULTS: Although there was no group difference in reward-related VS or threat-related amygdala activity, the depressed group showed elevated VS activity to punishment relative to high-risk adolescents. The whole-brain analysis found reduced reward-related activity in the lateral prefrontal cortex of patients and high-risk adolescents compared with low-risk adolescents. Compared with low-risk adolescents, high-risk and depressed adolescents showed reduced threat-related left amygdala connectivity with thalamus, superior temporal gyrus, inferior parietal gyrus, precentral gyrus, and supplementary motor area. CONCLUSIONS: We identified neural correlates associated with risk and presence of depression in a well-characterized sample of adolescents. These findings enhance knowledge of the neurobiological underpinnings of risk and presence of depression in Brazil. Future longitudinal studies are needed to examine whether the observed neural patterns of high-risk adolescents predict the development of depression. En ligne : http://dx.doi.org/10.1111/jcpp.13496 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476

Superior temporal sulcus folding, functional network connectivity, and autistic-like traits in a non-clinical population / Igor NENADI? in Molecular Autism, 15 (2024)  

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Region-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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Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis / Pilar GARCES in Molecular Autism, 13 (2022)  

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