Commentary to ?Translational machine learning for child and adolescent psychiatry? / Christos DAVATZIKOS in Journal of Child Psychology and Psychiatry, 63-4 (April 2022)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 63-4 (April 2022) . - p.444-446 Titre : Commentary to ?Translational machine learning for child and adolescent psychiatry? Type de document : Texte imprimé et/ou numérique Auteurs : Christos DAVATZIKOS, Auteur ; Theodore D. SATTERTHWAITE, Auteur Article en page(s) : p.444-446 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : In this commentary on ?Translational Machine Learning for Child and Adolescent Psychiatry,? by Dwyer and Koutsouleris, we summarize some of the main points made by the authors, which highlight the importance of emerging applications of machine learning for psychiatric disorders in youth but also emphasize principles of good practice. We also offer complementary insights regarding large-scale training, harmonization, and the ability of these artificial intelligence models to adapt to new datasets, which is critical for their stability across imaging centers, and hence for their widespread clinical adoption. En ligne : https://doi.org/10.1111/jcpp.13593 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475 [article] Commentary to ?Translational machine learning for child and adolescent psychiatry? [Texte imprimé et/ou numérique] / Christos DAVATZIKOS, Auteur ; Theodore D. SATTERTHWAITE, Auteur . - p.444-446. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 63-4 (April 2022) . - p.444-446 Index. décimale : PER Périodiques Résumé : In this commentary on ?Translational Machine Learning for Child and Adolescent Psychiatry,? by Dwyer and Koutsouleris, we summarize some of the main points made by the authors, which highlight the importance of emerging applications of machine learning for psychiatric disorders in youth but also emphasize principles of good practice. We also offer complementary insights regarding large-scale training, harmonization, and the ability of these artificial intelligence models to adapt to new datasets, which is critical for their stability across imaging centers, and hence for their widespread clinical adoption. En ligne : https://doi.org/10.1111/jcpp.13593 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=475

Globally weaker and topologically different: resting-state connectivity in youth with autism / B. E. YERYS in Molecular Autism, 8 (2017)  

Public ISBD [article]  inMolecular Autism > 8 (2017) . - 39p. Titre : Globally weaker and topologically different: resting-state connectivity in youth with autism Type de document : Texte imprimé et/ou numérique Auteurs : B. E. YERYS, Auteur ; J. D. HERRINGTON, Auteur ; Theodore D. SATTERTHWAITE, Auteur ; L. GUY, Auteur ; Robert T. SCHULTZ, Auteur ; D. S. BASSETT, Auteur Article en page(s) : 39p. Langues : Anglais (eng) Mots-clés : Attention  Autism spectrum disorder  Children  Intrinsic networks  Social cognition Index. décimale : PER Périodiques Résumé : BACKGROUND: There is a lack of agreement about functional connectivity differences in individuals with autism spectrum disorder (ASD). Studies using absolute strength have found reduced connectivity, while those using relative strength--a measure of system topology--reveal mostly enhanced connectivity. We hypothesized that mixed findings may be driven by the metric of functional connectivity. METHODS: Resting-state echo planar 3 T functional magnetic resonance imaging scans were acquired on a Siemens Verio Scanner from 6 to 17-year-old youth with ASD (n = 81) and a matched typically developing control group (n = 82). All functional time series data were preprocessed using a confound regression procedure that has been previously validated in large-scale developmental datasets. It has also been shown to be highly effective at reducing the influence of motion artifact on connectivity data. We extracted time series data from a 333-node parcellation scheme, which was previously mapped to 13 functional systems. A Pearson's correlation was calculated and transformed to Fisher's z between every pair of nodes to create a weighted 333 x 333 adjacency matrix. Mean absolute functional connectivity strength was the mean Fisher's z of the matrix. Relative functional connectivity was corrected for individual differences in mean absolute functional connectivity (i.e., each connection in the matrix was divided by their mean z), and functional connectivity was evaluated within and across each of the functional networks in the parcellation scheme. RESULTS: Absolute functional connectivity strength was lower in ASD, and lower functional connectivity was correlated with greater ASD symptom severity. Relative functional connectivity was higher for the ASD group in the ventral attention and retrosplenial-temporal systems, with lower cross-system functional connectivity between the ventral attention and somatomotor-mouth systems. Functional connectivity within the ventral attention and retro-splenial systems correlated significantly with ASD symptom severity. CONCLUSIONS: Within a context of globally weaker functional connectivity, youth with ASD have an atypical topology of brain systems that support social perception and communication. This study clarifies the mixed results reported previously and demonstrates that the functional connectivity metric influences the observed direction of functional connectivity differences for individuals with ASD. En ligne : http://dx.doi.org/10.1186/s13229-017-0156-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=331 [article] Globally weaker and topologically different: resting-state connectivity in youth with autism [Texte imprimé et/ou numérique] / B. E. YERYS, Auteur ; J. D. HERRINGTON, Auteur ; Theodore D. SATTERTHWAITE, Auteur ; L. GUY, Auteur ; Robert T. SCHULTZ, Auteur ; D. S. BASSETT, Auteur . - 39p. Langues : Anglais (eng) in Molecular Autism > 8 (2017) . - 39p. Mots-clés : Attention  Autism spectrum disorder  Children  Intrinsic networks  Social cognition Index. décimale : PER Périodiques Résumé : BACKGROUND: There is a lack of agreement about functional connectivity differences in individuals with autism spectrum disorder (ASD). Studies using absolute strength have found reduced connectivity, while those using relative strength--a measure of system topology--reveal mostly enhanced connectivity. We hypothesized that mixed findings may be driven by the metric of functional connectivity. METHODS: Resting-state echo planar 3 T functional magnetic resonance imaging scans were acquired on a Siemens Verio Scanner from 6 to 17-year-old youth with ASD (n = 81) and a matched typically developing control group (n = 82). All functional time series data were preprocessed using a confound regression procedure that has been previously validated in large-scale developmental datasets. It has also been shown to be highly effective at reducing the influence of motion artifact on connectivity data. We extracted time series data from a 333-node parcellation scheme, which was previously mapped to 13 functional systems. A Pearson's correlation was calculated and transformed to Fisher's z between every pair of nodes to create a weighted 333 x 333 adjacency matrix. Mean absolute functional connectivity strength was the mean Fisher's z of the matrix. Relative functional connectivity was corrected for individual differences in mean absolute functional connectivity (i.e., each connection in the matrix was divided by their mean z), and functional connectivity was evaluated within and across each of the functional networks in the parcellation scheme. RESULTS: Absolute functional connectivity strength was lower in ASD, and lower functional connectivity was correlated with greater ASD symptom severity. Relative functional connectivity was higher for the ASD group in the ventral attention and retrosplenial-temporal systems, with lower cross-system functional connectivity between the ventral attention and somatomotor-mouth systems. Functional connectivity within the ventral attention and retro-splenial systems correlated significantly with ASD symptom severity. CONCLUSIONS: Within a context of globally weaker functional connectivity, youth with ASD have an atypical topology of brain systems that support social perception and communication. This study clarifies the mixed results reported previously and demonstrates that the functional connectivity metric influences the observed direction of functional connectivity differences for individuals with ASD. En ligne : http://dx.doi.org/10.1186/s13229-017-0156-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=331

The Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative / Monica E. CALKINS in Journal of Child Psychology and Psychiatry, 56-12 (December 2015)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 56-12 (December 2015) . - p.1356-1369 Titre : The Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative Type de document : Texte imprimé et/ou numérique Auteurs : Monica E. CALKINS, Auteur ; Kathleen R. MERIKANGAS, Auteur ; Tyler M. MOORE, Auteur ; Marcy BURSTEIN, Auteur ; Meckenzie A. BEHR, Auteur ; Theodore D. SATTERTHWAITE, Auteur ; Kosha RUPAREL, Auteur ; Daniel H. WOLF, Auteur ; David R. ROALF, Auteur ; Frank D. MENTCH, Auteur ; Haijun QIU, Auteur ; Rosetta CHIAVACCI, Auteur ; John J. CONNOLLY, Auteur ; Patrick M. A. SLEIMAN, Auteur ; Ruben C. GUR, Auteur ; Hakon HAKONARSON, Auteur ; Raquel E. GUR, Auteur Article en page(s) : p.1356-1369 Langues : Anglais (eng) Mots-clés : Community cohort  children  adolescents  young adults  psychopathology  mood  anxiety  behavior  psychosis  comorbidity  structure  genomics  neuroimaging  neurocognition  public domain Index. décimale : PER Périodiques Résumé : Background An integrative multidisciplinary approach is required to elucidate the multiple factors that shape neurodevelopmental trajectories of mental disorders. The Philadelphia Neurodevelopmental Cohort (PNC), funded by the National Institute of Mental Health Grand Opportunity (GO) mechanism of the American Recovery and Reinvestment Act, was designed to characterize clinical and neurobehavioral phenotypes of genotyped youths. Data generated, which are recently available through the NIMH Database of Genotypes and Phenotypes (dbGaP), have garnered considerable interest. We provide an overview of PNC recruitment and clinical assessment methods to allow informed use and interpretation of the PNC resource by the scientific community. We also evaluate the structure of the assessment tools and their criterion validity. Methods Participants were recruited from a large pool of youths (n = 13,958) previously identified and genotyped at The Children's Hospital of Philadelphia. A comprehensive computerized tool for structured evaluation of psychopathology domains (GOASSESS) was constructed. We administered GOASSESS to all participants and used factor analysis to evaluate its structure. Results A total of 9,498 youths (aged 8–21; mean age = 14.2; European American = 55.8%; African American = 32.9%; Other = 11.4%) were enrolled. Factor analysis revealed a strong general psychopathology factor, and specific ‘anxious-misery’, ‘fear’, and ‘behavior’ factors. The ‘behavior’ factor had a small negative correlation (?0.21) with overall accuracy of neurocognitive performance, particularly in tests of executive and complex reasoning. Being female had a high association with the ‘anxious-misery’ and low association with the ‘behavior’ factors. The psychosis spectrum was also best characterized by a general factor and three specific factors: ideas about ‘special abilities/persecution,’ ‘unusual thoughts/perceptions’, and ‘negative/disorganized’ symptoms. Conclusions The PNC assessment mechanism yielded psychopathology data with strong factorial validity in a large diverse community cohort of genotyped youths. Factor scores should be useful for dimensional integration with other modalities (neuroimaging, genomics). Thus, PNC public domain resources can advance understanding of complex inter-relationships among genes, cognition, brain, and behavior involved in neurodevelopment of common mental disorders. En ligne : http://dx.doi.org/10.1111/jcpp.12416 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=273 [article] The Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative [Texte imprimé et/ou numérique] / Monica E. CALKINS, Auteur ; Kathleen R. MERIKANGAS, Auteur ; Tyler M. MOORE, Auteur ; Marcy BURSTEIN, Auteur ; Meckenzie A. BEHR, Auteur ; Theodore D. SATTERTHWAITE, Auteur ; Kosha RUPAREL, Auteur ; Daniel H. WOLF, Auteur ; David R. ROALF, Auteur ; Frank D. MENTCH, Auteur ; Haijun QIU, Auteur ; Rosetta CHIAVACCI, Auteur ; John J. CONNOLLY, Auteur ; Patrick M. A. SLEIMAN, Auteur ; Ruben C. GUR, Auteur ; Hakon HAKONARSON, Auteur ; Raquel E. GUR, Auteur . - p.1356-1369. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 56-12 (December 2015) . - p.1356-1369 Mots-clés : Community cohort  children  adolescents  young adults  psychopathology  mood  anxiety  behavior  psychosis  comorbidity  structure  genomics  neuroimaging  neurocognition  public domain Index. décimale : PER Périodiques Résumé : Background An integrative multidisciplinary approach is required to elucidate the multiple factors that shape neurodevelopmental trajectories of mental disorders. The Philadelphia Neurodevelopmental Cohort (PNC), funded by the National Institute of Mental Health Grand Opportunity (GO) mechanism of the American Recovery and Reinvestment Act, was designed to characterize clinical and neurobehavioral phenotypes of genotyped youths. Data generated, which are recently available through the NIMH Database of Genotypes and Phenotypes (dbGaP), have garnered considerable interest. We provide an overview of PNC recruitment and clinical assessment methods to allow informed use and interpretation of the PNC resource by the scientific community. We also evaluate the structure of the assessment tools and their criterion validity. Methods Participants were recruited from a large pool of youths (n = 13,958) previously identified and genotyped at The Children's Hospital of Philadelphia. A comprehensive computerized tool for structured evaluation of psychopathology domains (GOASSESS) was constructed. We administered GOASSESS to all participants and used factor analysis to evaluate its structure. Results A total of 9,498 youths (aged 8–21; mean age = 14.2; European American = 55.8%; African American = 32.9%; Other = 11.4%) were enrolled. Factor analysis revealed a strong general psychopathology factor, and specific ‘anxious-misery’, ‘fear’, and ‘behavior’ factors. The ‘behavior’ factor had a small negative correlation (?0.21) with overall accuracy of neurocognitive performance, particularly in tests of executive and complex reasoning. Being female had a high association with the ‘anxious-misery’ and low association with the ‘behavior’ factors. The psychosis spectrum was also best characterized by a general factor and three specific factors: ideas about ‘special abilities/persecution,’ ‘unusual thoughts/perceptions’, and ‘negative/disorganized’ symptoms. Conclusions The PNC assessment mechanism yielded psychopathology data with strong factorial validity in a large diverse community cohort of genotyped youths. Factor scores should be useful for dimensional integration with other modalities (neuroimaging, genomics). Thus, PNC public domain resources can advance understanding of complex inter-relationships among genes, cognition, brain, and behavior involved in neurodevelopment of common mental disorders. En ligne : http://dx.doi.org/10.1111/jcpp.12416 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=273

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