13 recherche sur le mot-clé 'Brain Mapping'

Age-related changes in brain signal variability in autism spectrum disorder / Nicholas KATHREIN ; Elijah GRAGAS ; Lauren KUPIS ; Lucina Q UDDIN ; Jason S NOMI in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 8 Titre : Age-related changes in brain signal variability in autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Nicholas KATHREIN, Auteur ; Elijah GRAGAS, Auteur ; Lauren KUPIS, Auteur ; Lucina Q UDDIN, Auteur ; Jason S NOMI, Auteur Article en page(s) : 8 Langues : Anglais (eng) Mots-clés : Humans  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Brain/diagnostic imaging/physiopathology  Male  Adult  Female  Adolescent  Child  Magnetic Resonance Imaging  Middle Aged  Young Adult  Child, Preschool  Cross-Sectional Studies  Age Factors  Aging  Brain Mapping  Asd  Age  Brain-behavior relationships  Mean square successive difference  Resting-state fMRI  contributions were based on studies approved by the local Institutional Review  Boards, and all have approved both the initial data collection and the sharing of  fully anonymized data (removing face information from structural images and all  18 Health Insurance Portability and Accountability (HIPAA)-protected health  information identifiers). The written informed consent was obtained from all  subjects. Detailed information on ethical statements for ABIDE can be found at  http://fcon_1000.projects.nitrc.org/indi/abide/. Consent for publication: Not  applicable. Competing interests: The authors declare that they have no competing  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Brain signal variability (BSV) is an important understudied aspect of brain function linked to cognitive flexibility and adaptive behavior. Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication difficulties and restricted and repetitive behaviors (RRBs). While atypical brain function has been identified in individuals with ASD using fMRI task-activation and functional connectivity approaches, little is known about age-related relationships with resting-state BSV and repetitive behaviors in ASD. METHODS: We conducted a cross-sectional examination of resting-state BSV and its relationship with age and RRBs in a cohort of individuals with Autism Brain Imaging Data Exchange (n = 351) and typically developing (TD) individuals (n = 402) aged 5-50 years obtained from the Autism Brain Imaging Data Exchange. RRBs were assessed using the Autism Diagnostic Interview-Revised (ADI-RRB) scale. BSV was quantified using the root-mean-square successive difference (rMSSD) of the resting-state fMRI time series. We examined categorical group differences in rMSSD between ASD and TD groups, controlling for both linear and quadratic age. To identify dimensional relationships between age, group, and rMSSD, we utilized interaction regressors for group x age and group x quadratic age. Within a subset of individuals with ASD (269 subjects), we explored the relationship between rMSSD and ADI-RRB scores, both with and without age considerations. The relationship between rMSSD and ADI-RRB scores was further analyzed while accounting for linear and quadratic age. Additionally, we investigated the relationship between BSV, age, and ADI-RRB scores using interaction regressors for age x RRB and quadratic age x RRB. RESULTS: When controlling for linear age effects, we observed significant group differences between individuals with ASD and TD individuals in the default-mode network (DMN) and visual network, with decreased BSV in ASD. Similarly, controlling for quadratic age effects revealed significant group differences in the DMN and visual network. In both cases, individuals with ASD showed decreased BSV compared with TD individuals in these brain regions. The group * age interaction demonstrated significant group differences in the DMN, and visual network brain areas, indicating that rMSSD was greater in older individuals compared with younger individuals in the ASD group, while rMSSD was greater in younger individuals compared with older individuals in the TD group. The group * quadratic age interaction showed significant differences in the brain regions included in DMN, with an inverted U-shaped rMSSD-age relationship in ASD (higher rMSSD in younger individuals that slightly increased into middle age before decreasing) and a U-shaped rMSSD-age relationship in TD (higher rMSSD in younger and older individuals compared with middle-aged individuals). When controlling for linear and quadratic age effects, we found a significant positive association between rMSSD and ADI-RRB scores in brain regions within the DMN, salience, and visual network. While no significant results were observed for the linear age * RRB interaction, a significant association between quadratic age and ADI-RRB scores emerged in the DMN, dorsal attention network, and sensorimotor network. Individuals with high ADI-RRB scores exhibited an inverted U-shaped relationship between rMSSD and age, with lower rMSSD levels observed in both younger and older individuals, and higher rMSSD in middle-aged individuals. Those with mid-range ADI-RRB scores displayed a weak inverted U-shaped rMSSD-age association. In contrast, individuals with low ADI-RRB scores showed a U-shaped rMSSD-age association, with higher rMSSD levels in younger and older individuals, but a lower rMSSD in middle-aged individuals. CONCLUSION: These findings highlight age-related atypical BSV patterns in ASD and their association with repetitive behaviors, contributing to the growing literature on understanding alterations in functional brain maturation in ASD. En ligne : https://dx.doi.org/10.1186/s13229-024-00631-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Age-related changes in brain signal variability in autism spectrum disorder [Texte imprimé et/ou numérique] / Nicholas KATHREIN, Auteur ; Elijah GRAGAS, Auteur ; Lauren KUPIS, Auteur ; Lucina Q UDDIN, Auteur ; Jason S NOMI, Auteur . - 8. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 8 Mots-clés : Humans  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Brain/diagnostic imaging/physiopathology  Male  Adult  Female  Adolescent  Child  Magnetic Resonance Imaging  Middle Aged  Young Adult  Child, Preschool  Cross-Sectional Studies  Age Factors  Aging  Brain Mapping  Asd  Age  Brain-behavior relationships  Mean square successive difference  Resting-state fMRI  contributions were based on studies approved by the local Institutional Review  Boards, and all have approved both the initial data collection and the sharing of  fully anonymized data (removing face information from structural images and all  18 Health Insurance Portability and Accountability (HIPAA)-protected health  information identifiers). The written informed consent was obtained from all  subjects. Detailed information on ethical statements for ABIDE can be found at  http://fcon_1000.projects.nitrc.org/indi/abide/. Consent for publication: Not  applicable. Competing interests: The authors declare that they have no competing  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Brain signal variability (BSV) is an important understudied aspect of brain function linked to cognitive flexibility and adaptive behavior. Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication difficulties and restricted and repetitive behaviors (RRBs). While atypical brain function has been identified in individuals with ASD using fMRI task-activation and functional connectivity approaches, little is known about age-related relationships with resting-state BSV and repetitive behaviors in ASD. METHODS: We conducted a cross-sectional examination of resting-state BSV and its relationship with age and RRBs in a cohort of individuals with Autism Brain Imaging Data Exchange (n = 351) and typically developing (TD) individuals (n = 402) aged 5-50 years obtained from the Autism Brain Imaging Data Exchange. RRBs were assessed using the Autism Diagnostic Interview-Revised (ADI-RRB) scale. BSV was quantified using the root-mean-square successive difference (rMSSD) of the resting-state fMRI time series. We examined categorical group differences in rMSSD between ASD and TD groups, controlling for both linear and quadratic age. To identify dimensional relationships between age, group, and rMSSD, we utilized interaction regressors for group x age and group x quadratic age. Within a subset of individuals with ASD (269 subjects), we explored the relationship between rMSSD and ADI-RRB scores, both with and without age considerations. The relationship between rMSSD and ADI-RRB scores was further analyzed while accounting for linear and quadratic age. Additionally, we investigated the relationship between BSV, age, and ADI-RRB scores using interaction regressors for age x RRB and quadratic age x RRB. RESULTS: When controlling for linear age effects, we observed significant group differences between individuals with ASD and TD individuals in the default-mode network (DMN) and visual network, with decreased BSV in ASD. Similarly, controlling for quadratic age effects revealed significant group differences in the DMN and visual network. In both cases, individuals with ASD showed decreased BSV compared with TD individuals in these brain regions. The group * age interaction demonstrated significant group differences in the DMN, and visual network brain areas, indicating that rMSSD was greater in older individuals compared with younger individuals in the ASD group, while rMSSD was greater in younger individuals compared with older individuals in the TD group. The group * quadratic age interaction showed significant differences in the brain regions included in DMN, with an inverted U-shaped rMSSD-age relationship in ASD (higher rMSSD in younger individuals that slightly increased into middle age before decreasing) and a U-shaped rMSSD-age relationship in TD (higher rMSSD in younger and older individuals compared with middle-aged individuals). When controlling for linear and quadratic age effects, we found a significant positive association between rMSSD and ADI-RRB scores in brain regions within the DMN, salience, and visual network. While no significant results were observed for the linear age * RRB interaction, a significant association between quadratic age and ADI-RRB scores emerged in the DMN, dorsal attention network, and sensorimotor network. Individuals with high ADI-RRB scores exhibited an inverted U-shaped relationship between rMSSD and age, with lower rMSSD levels observed in both younger and older individuals, and higher rMSSD in middle-aged individuals. Those with mid-range ADI-RRB scores displayed a weak inverted U-shaped rMSSD-age association. In contrast, individuals with low ADI-RRB scores showed a U-shaped rMSSD-age association, with higher rMSSD levels in younger and older individuals, but a lower rMSSD in middle-aged individuals. CONCLUSION: These findings highlight age-related atypical BSV patterns in ASD and their association with repetitive behaviors, contributing to the growing literature on understanding alterations in functional brain maturation in ASD. En ligne : https://dx.doi.org/10.1186/s13229-024-00631-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

Brain activity during facial processing in autism spectrum disorder: an activation likelihood estimation (ALE) meta-analysis of neuroimaging studies / Cristiano COSTA in Journal of Child Psychology and Psychiatry, 62-12 (December 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-12 (December 2021) . - p.1412-1424 Titre : Brain activity during facial processing in autism spectrum disorder: an activation likelihood estimation (ALE) meta-analysis of neuroimaging studies Type de document : Texte imprimé et/ou numérique Auteurs : Cristiano COSTA, Auteur ; I. A. CRISTEA, Auteur ; E. DAL BÒ, Auteur ; C. MELLONI, Auteur ; C. GENTILI, Auteur Article en page(s) : p.1412-1424 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Humans  Likelihood Functions  Magnetic Resonance Imaging  Neuroimaging  Functional MRI (fMRI)  autism spectrum disorders  face perception  meta-analysis Index. décimale : PER Périodiques Résumé : BACKGROUND: Though aberrant face processing is a hallmark of autistic spectrum disorder (ASD), findings on accompanying brain activity are divergent. Therefore, we conducted an activation likelihood estimation (ALE) meta-analysis of studies examining brain activity during face processing. METHODS: We searched PubMed and PsycINFO using combinations of terms as 'fMRI', 'Autism Spectrum Disorder', 'Face Perception'. Eligible studies reported on DSM-diagnosed ASD individuals, compared to controls (HC), using face stimuli presented in fMRI and reporting whole-brain analysis coordinates. We compared two approaches: 'convergence of differences' (primary analysis) using study-level coordinates from ASD vs. HC contrasts, and 'differences in convergence' (secondary) pooling coordinates within each group separately, and contrasting the resultant ALE maps. RESULTS: Thirty-five studies (655 ASD and 668 HC) were included. Primary analysis identified a cluster in amygdala/parahippocampus where HC showed greater convergence of activation. Secondary analysis yielded no significant results. CONCLUSIONS: Results suggest that ASD dysfunction in face processing relies on structures involved in emotional processing rather than perception. We also demonstrate that the two ALE methodologies lead to divergent results. En ligne : http://dx.doi.org/10.1111/jcpp.13412 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 [article] Brain activity during facial processing in autism spectrum disorder: an activation likelihood estimation (ALE) meta-analysis of neuroimaging studies [Texte imprimé et/ou numérique] / Cristiano COSTA, Auteur ; I. A. CRISTEA, Auteur ; E. DAL BÒ, Auteur ; C. MELLONI, Auteur ; C. GENTILI, Auteur . - p.1412-1424. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-12 (December 2021) . - p.1412-1424 Mots-clés : Autism Spectrum Disorder/diagnostic imaging  Brain/diagnostic imaging  Brain Mapping  Humans  Likelihood Functions  Magnetic Resonance Imaging  Neuroimaging  Functional MRI (fMRI)  autism spectrum disorders  face perception  meta-analysis Index. décimale : PER Périodiques Résumé : BACKGROUND: Though aberrant face processing is a hallmark of autistic spectrum disorder (ASD), findings on accompanying brain activity are divergent. Therefore, we conducted an activation likelihood estimation (ALE) meta-analysis of studies examining brain activity during face processing. METHODS: We searched PubMed and PsycINFO using combinations of terms as 'fMRI', 'Autism Spectrum Disorder', 'Face Perception'. Eligible studies reported on DSM-diagnosed ASD individuals, compared to controls (HC), using face stimuli presented in fMRI and reporting whole-brain analysis coordinates. We compared two approaches: 'convergence of differences' (primary analysis) using study-level coordinates from ASD vs. HC contrasts, and 'differences in convergence' (secondary) pooling coordinates within each group separately, and contrasting the resultant ALE maps. RESULTS: Thirty-five studies (655 ASD and 668 HC) were included. Primary analysis identified a cluster in amygdala/parahippocampus where HC showed greater convergence of activation. Secondary analysis yielded no significant results. CONCLUSIONS: Results suggest that ASD dysfunction in face processing relies on structures involved in emotional processing rather than perception. We also demonstrate that the two ALE methodologies lead to divergent results. En ligne : http://dx.doi.org/10.1111/jcpp.13412 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456

Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ?-Complexity Coefficients / A. DAHAN in Journal of Autism and Developmental Disorders, 51-9 (September 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-9 (September 2021) . - p.3380-3390 Titre : Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ?-Complexity Coefficients Type de document : Texte imprimé et/ou numérique Auteurs : A. DAHAN, Auteur ; Y. A. DUBNOV, Auteur ; A. Y. POPKOV, Auteur ; I. GUTMAN, Auteur ; H. G. PROBOLOVSKI, Auteur Article en page(s) : p.3380-3390 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain/diagnostic imaging  Brain Mapping  Humans  Autistic traits  Classification  Complexity  Interpersonal synchronization  fNIRS Index. décimale : PER Périodiques Résumé : Individuals with ASD have been shown to have different pattern of functional connectivity. In this study, brain activity of participants with many and few autistic traits, was recorded using an fNIRS device, as participants preformed an interpersonal synchronization task. This type of task involves synchronization and functional connectivity of different brain regions. A novel method for assessing signal complexity, using ?-complexity coefficients, applied for the first i.e. on fNIRS recording, was used to classify brain recording of participants with many/few autistic traits. Successful classification was achieved implying that this method may be useful for classification of fNIRS recordings and that there is a difference in brain activity between participants with low and high autistic traits as they perform an interpersonal synchronization task. En ligne : http://dx.doi.org/10.1007/s10803-020-04793-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453 [article] Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ?-Complexity Coefficients [Texte imprimé et/ou numérique] / A. DAHAN, Auteur ; Y. A. DUBNOV, Auteur ; A. Y. POPKOV, Auteur ; I. GUTMAN, Auteur ; H. G. PROBOLOVSKI, Auteur . - p.3380-3390. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-9 (September 2021) . - p.3380-3390 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain/diagnostic imaging  Brain Mapping  Humans  Autistic traits  Classification  Complexity  Interpersonal synchronization  fNIRS Index. décimale : PER Périodiques Résumé : Individuals with ASD have been shown to have different pattern of functional connectivity. In this study, brain activity of participants with many and few autistic traits, was recorded using an fNIRS device, as participants preformed an interpersonal synchronization task. This type of task involves synchronization and functional connectivity of different brain regions. A novel method for assessing signal complexity, using ?-complexity coefficients, applied for the first i.e. on fNIRS recording, was used to classify brain recording of participants with many/few autistic traits. Successful classification was achieved implying that this method may be useful for classification of fNIRS recordings and that there is a difference in brain activity between participants with low and high autistic traits as they perform an interpersonal synchronization task. En ligne : http://dx.doi.org/10.1007/s10803-020-04793-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453

Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism / Megan BANCHIK ; Tawny TSANG ; Nana J OKADA ; Rebecca ALTSHULER ; Nicole MCDONALD ; Susan Y BOOKHEIMER ; Shafali S JESTE ; Shulamite GREEN ; Mirella DAPRETTO in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 6 Titre : Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism Type de document : Texte imprimé et/ou numérique Auteurs : Megan BANCHIK, Auteur ; Tawny TSANG, Auteur ; Nana J OKADA, Auteur ; Rebecca ALTSHULER, Auteur ; Nicole MCDONALD, Auteur ; Susan Y BOOKHEIMER, Auteur ; Shafali S JESTE, Auteur ; Shulamite GREEN, Auteur ; Mirella DAPRETTO, Auteur Article en page(s) : 6 Langues : Anglais (eng) Mots-clés : Humans  Infant  Male  Magnetic Resonance Imaging  Female  Language  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Brain/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology  Brain Mapping  Speech  Autism  Language  Native language  fMRI  obtained from all participants' caregivers and/or legal guardians. All study  protocols were approved by the UCLA Institutional Review Board. Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Language difficulties are common in autism spectrum disorder (ASD), a neurodevelopmental condition characterized by impairments in social communication as well as restricted and repetitive behaviors. Amongst infant siblings of children with an ASD diagnosis - who are at higher likelihood for developing ASD - a high proportion also show difficulties and delays in language acquisition. METHODS: In this study, we used functional magnetic resonance imaging (fMRI) to examine differences in language processing in 9-month-old infants at high (HL) and typical (TL) familial likelihood for ASD. Infants were presented with native (English) and novel (Japanese) speech while sleeping naturally in the scanner. Whole-brain and a priori region-of-interest analyses were conducted to evaluate neural differences in language processing based on likelihood group and language condition. RESULTS: HL infants showed attenuated responses to speech in general, particularly in left temporal language areas, as well as a lack of neural discrimination between the native and novel languages compared to the TL group. Importantly, we also demonstrate that HL infants show distinctly atypical patterns of lateralization for speech processing, particularly during native speech processing, suggesting a failure to left-lateralize. LIMITATIONS: The sample size, particularly for the TL group, is relatively modest because of the challenges inherent to collecting auditory stimulus-evoked data from sleeping participants, as well as retention and follow-up difficulties posed by the COVID-19 pandemic. The groups were not matched on some demographic variables, but the present findings held even after accounting for these differences. CONCLUSIONS: To our knowledge, this is the first fMRI study to directly measure autism-associated atypicalities in native language uptake during infancy. These findings provide a better understanding of the neurodevelopmental underpinnings of language delay in ASD, which is a prerequisite step for developing earlier and more effective interventions for autistic children and HL siblings who experience language impairments. En ligne : https://dx.doi.org/10.1186/s13229-025-00640-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism [Texte imprimé et/ou numérique] / Megan BANCHIK, Auteur ; Tawny TSANG, Auteur ; Nana J OKADA, Auteur ; Rebecca ALTSHULER, Auteur ; Nicole MCDONALD, Auteur ; Susan Y BOOKHEIMER, Auteur ; Shafali S JESTE, Auteur ; Shulamite GREEN, Auteur ; Mirella DAPRETTO, Auteur . - 6. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 6 Mots-clés : Humans  Infant  Male  Magnetic Resonance Imaging  Female  Language  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Brain/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology  Brain Mapping  Speech  Autism  Language  Native language  fMRI  obtained from all participants' caregivers and/or legal guardians. All study  protocols were approved by the UCLA Institutional Review Board. Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Language difficulties are common in autism spectrum disorder (ASD), a neurodevelopmental condition characterized by impairments in social communication as well as restricted and repetitive behaviors. Amongst infant siblings of children with an ASD diagnosis - who are at higher likelihood for developing ASD - a high proportion also show difficulties and delays in language acquisition. METHODS: In this study, we used functional magnetic resonance imaging (fMRI) to examine differences in language processing in 9-month-old infants at high (HL) and typical (TL) familial likelihood for ASD. Infants were presented with native (English) and novel (Japanese) speech while sleeping naturally in the scanner. Whole-brain and a priori region-of-interest analyses were conducted to evaluate neural differences in language processing based on likelihood group and language condition. RESULTS: HL infants showed attenuated responses to speech in general, particularly in left temporal language areas, as well as a lack of neural discrimination between the native and novel languages compared to the TL group. Importantly, we also demonstrate that HL infants show distinctly atypical patterns of lateralization for speech processing, particularly during native speech processing, suggesting a failure to left-lateralize. LIMITATIONS: The sample size, particularly for the TL group, is relatively modest because of the challenges inherent to collecting auditory stimulus-evoked data from sleeping participants, as well as retention and follow-up difficulties posed by the COVID-19 pandemic. The groups were not matched on some demographic variables, but the present findings held even after accounting for these differences. CONCLUSIONS: To our knowledge, this is the first fMRI study to directly measure autism-associated atypicalities in native language uptake during infancy. These findings provide a better understanding of the neurodevelopmental underpinnings of language delay in ASD, which is a prerequisite step for developing earlier and more effective interventions for autistic children and HL siblings who experience language impairments. En ligne : https://dx.doi.org/10.1186/s13229-025-00640-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

Causal effects of psychostimulants on neural connectivity: a mechanistic, randomized clinical trial / Yun WANG in Journal of Child Psychology and Psychiatry, 63-11 (November 2022)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 63-11 (November 2022) . - p.1381-1391 Titre : Causal effects of psychostimulants on neural connectivity: a mechanistic, randomized clinical trial Type de document : Texte imprimé et/ou numérique Auteurs : Yun WANG, Auteur ; Ellen KESSEL, Auteur ; Seonjoo LEE, Auteur ; Susie HONG, Auteur ; Elizabeth RAFFANELLO, Auteur ; Leslie A. HULVERSHORN, Auteur ; Amy MARGOLIS, Auteur ; Bradley S. PETERSON, Auteur ; Jonathan POSNER, Auteur Article en page(s) : p.1381-1391 Langues : Anglais (eng) Mots-clés : Adolescent  Humans  Child  Young Adult  Adult  Lisdexamfetamine Dimesylate/pharmacology/therapeutic use  Central Nervous System Stimulants/pharmacology  Attention Deficit Disorder with Hyperactivity  Brain Mapping  Brain/diagnostic imaging  Magnetic Resonance Imaging  Adhd  Dynamic Functional MRI (fMRI)  Lisdexamfetamine  Striatum  Structural Equation Modeling  Thalamus Index. décimale : PER Périodiques Résumé : BACKGROUND: Psychostimulants are frequently used to treat attention-deficit/hyperactivity disorder (ADHD), but side effects are common leading to many patients discontinuing treatment. Identifying neural mechanisms by which psychostimulants attenuate symptoms may guide the development of more refined and tolerable therapeutics. METHODS: We conducted a 12-week, randomized, placebo-controlled trial (RCT) of a long-acting amphetamine, lisdexamfetamine (LDEX), in patients with ADHD, ages 6-25 years old. Of the 58 participants who participated in the RCT, 49 completed pre- and post-RCT magnetic resonance imaging scanning with adequate data quality. Healthy controls (HCs; n=46) were included for comparison. Treatment effects on striatal and thalamic functional connectivity (FC) were identified using static (time-averaged) and dynamic (time-varying) measures and then correlated with symptom improvement. Analyses were repeated in independent samples from the Adolescent Brain Cognitive Development study (n=103) and the ADHD-200 Consortium (n=213). RESULTS: In 49 participants (25 LDEX; 24 Placebo), LDEX increased static and decreased dynamic FC (DFC). However, only DFC was associated with the therapeutic effects of LDEX. Additionally, at baseline, DFC was elevated in unmedicated-ADHD participants relative to HCs. Independent samples yielded similar findings - ADHD was associated with increased DFC, and psychostimulants with reduced DFC. Static FC findings were inconsistent across samples. CONCLUSIONS: Changes in dynamic, but not static, FC were associated with the therapeutic effects of psychostimulants. While prior research has focused on static FC, DFC may offer a more reliable target for new ADHD interventions aimed at stabilizing network dynamics, though this needs confirmation with subsequent investigations. En ligne : http://dx.doi.org/10.1111/jcpp.13585 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490 [article] Causal effects of psychostimulants on neural connectivity: a mechanistic, randomized clinical trial [Texte imprimé et/ou numérique] / Yun WANG, Auteur ; Ellen KESSEL, Auteur ; Seonjoo LEE, Auteur ; Susie HONG, Auteur ; Elizabeth RAFFANELLO, Auteur ; Leslie A. HULVERSHORN, Auteur ; Amy MARGOLIS, Auteur ; Bradley S. PETERSON, Auteur ; Jonathan POSNER, Auteur . - p.1381-1391. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 63-11 (November 2022) . - p.1381-1391 Mots-clés : Adolescent  Humans  Child  Young Adult  Adult  Lisdexamfetamine Dimesylate/pharmacology/therapeutic use  Central Nervous System Stimulants/pharmacology  Attention Deficit Disorder with Hyperactivity  Brain Mapping  Brain/diagnostic imaging  Magnetic Resonance Imaging  Adhd  Dynamic Functional MRI (fMRI)  Lisdexamfetamine  Striatum  Structural Equation Modeling  Thalamus Index. décimale : PER Périodiques Résumé : BACKGROUND: Psychostimulants are frequently used to treat attention-deficit/hyperactivity disorder (ADHD), but side effects are common leading to many patients discontinuing treatment. Identifying neural mechanisms by which psychostimulants attenuate symptoms may guide the development of more refined and tolerable therapeutics. METHODS: We conducted a 12-week, randomized, placebo-controlled trial (RCT) of a long-acting amphetamine, lisdexamfetamine (LDEX), in patients with ADHD, ages 6-25 years old. Of the 58 participants who participated in the RCT, 49 completed pre- and post-RCT magnetic resonance imaging scanning with adequate data quality. Healthy controls (HCs; n=46) were included for comparison. Treatment effects on striatal and thalamic functional connectivity (FC) were identified using static (time-averaged) and dynamic (time-varying) measures and then correlated with symptom improvement. Analyses were repeated in independent samples from the Adolescent Brain Cognitive Development study (n=103) and the ADHD-200 Consortium (n=213). RESULTS: In 49 participants (25 LDEX; 24 Placebo), LDEX increased static and decreased dynamic FC (DFC). However, only DFC was associated with the therapeutic effects of LDEX. Additionally, at baseline, DFC was elevated in unmedicated-ADHD participants relative to HCs. Independent samples yielded similar findings - ADHD was associated with increased DFC, and psychostimulants with reduced DFC. Static FC findings were inconsistent across samples. CONCLUSIONS: Changes in dynamic, but not static, FC were associated with the therapeutic effects of psychostimulants. While prior research has focused on static FC, DFC may offer a more reliable target for new ADHD interventions aimed at stabilizing network dynamics, though this needs confirmation with subsequent investigations. En ligne : http://dx.doi.org/10.1111/jcpp.13585 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490

Decreased homotopic interhemispheric functional connectivity in children with autism spectrum disorder / S. YAO in Autism Research, 14-8 (August 2021)  

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Dynamic functional adaptations during touch observation in autism: connectivity strength is linked to attitudes towards social touch and social responsiveness / Haemy LEE MASSON in Molecular Autism, 16 (2025)  

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Dysfunction in interpersonal neural synchronization as a mechanism for social impairment in autism spectrum disorder / Laura E. QUIÑONES-CAMACHO in Autism Research, 14-8 (August 2021)  

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Overconnectivity of the right Heschl's and inferior temporal gyrus correlates with symptom severity in preschoolers with autism spectrum disorder / D. KIM in Autism Research, 14-11 (November 2021)  

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Task-based functional neural correlates of social cognition across autism and schizophrenia spectrum disorders / Lindsay D. OLIVER in Molecular Autism, 15 (2024)  

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