Predicting clinical outcome from reward circuitry function and white matter structure in behaviorally and emotionally dysregulated youth
Behavioral and emotional dysregulation in childhood may be understood as prodromal to adult psychopathology. Additionally, there is a critical need to identify biomarkers reflecting underlying neuropathological processes that predict clinical/behavioral outcomes in youth. We aimed to identify such b...
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2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993633/ |
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pubmed-49936332016-08-23 Predicting clinical outcome from reward circuitry function and white matter structure in behaviorally and emotionally dysregulated youth Bertocci, Michele A. Bebko, Genna Versace, Amelia Fournier, Jay C. Iyengar, Satish Olino, Thomas Bonar, Lisa Almeida, Jorge R. C. Perlman, Susan B. Schirda, Claudiu Travis, Michael J. Gill, Mary Kay Diwadkar, Vaibhav A. Forbes, Erika E. Sunshine, Jeffrey L. Holland, Scott K Kowatch, Robert A. Birmaher, Boris Axelson, David Horwitz, Sarah M. Frazier, Thomas W. Arnold, L. Eugene Fristad, Mary. A Youngstrom, Eric A. Findling, Robert L. Phillips, Mary L. Article Behavioral and emotional dysregulation in childhood may be understood as prodromal to adult psychopathology. Additionally, there is a critical need to identify biomarkers reflecting underlying neuropathological processes that predict clinical/behavioral outcomes in youth. We aimed to identify such biomarkers in youth with behavioral and emotional dysregulation in the Longitudinal Assessment of Manic Symptoms (LAMS) study. We examined neuroimaging measures of function and white matter in the whole brain using 80 youth aged 14.0(sd=2.0) from 3 clinical sites. Linear regression using the LASSO method for variable selection was used to predict severity of future behavioral and emotional dysregulation [measured by the Parent General Behavior Inventory-10 Item Mania Scale (PGBI-10M)] at a mean of 14.2 months follow-up after neuroimaging assessment. Neuroimaging measures, together with near-scan PGBI-10M, a score of manic behaviors, depressive behaviors, and sex, explained 28% of the variance in follow-up PGBI-10M. Neuroimaging measures alone, after accounting for other identified predictors, explained approximately one-third of the explained variance, in follow-up PGBI-10M. Specifically, greater bilateral cingulum length predicted lower PGBI-10M at follow-up. Greater functional connectivity in parietal-subcortical reward circuitry predicted greater PGBI-10M at follow-up. For the first time, data suggest that multimodal neuroimaging measures of underlying neuropathologic processes account for over a third of the explained variance in clinical outcome in a large sample of behaviorally and emotionally dysregulated youth. This may be an important first step toward identifying neurobiological measures with the potential to act as novel targets for early detection and future therapeutic interventions. 2016-02-23 2016-09 /pmc/articles/PMC4993633/ /pubmed/26903272 http://dx.doi.org/10.1038/mp.2016.5 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
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Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Bertocci, Michele A. Bebko, Genna Versace, Amelia Fournier, Jay C. Iyengar, Satish Olino, Thomas Bonar, Lisa Almeida, Jorge R. C. Perlman, Susan B. Schirda, Claudiu Travis, Michael J. Gill, Mary Kay Diwadkar, Vaibhav A. Forbes, Erika E. Sunshine, Jeffrey L. Holland, Scott K Kowatch, Robert A. Birmaher, Boris Axelson, David Horwitz, Sarah M. Frazier, Thomas W. Arnold, L. Eugene Fristad, Mary. A Youngstrom, Eric A. Findling, Robert L. Phillips, Mary L. |
| spellingShingle |
Bertocci, Michele A. Bebko, Genna Versace, Amelia Fournier, Jay C. Iyengar, Satish Olino, Thomas Bonar, Lisa Almeida, Jorge R. C. Perlman, Susan B. Schirda, Claudiu Travis, Michael J. Gill, Mary Kay Diwadkar, Vaibhav A. Forbes, Erika E. Sunshine, Jeffrey L. Holland, Scott K Kowatch, Robert A. Birmaher, Boris Axelson, David Horwitz, Sarah M. Frazier, Thomas W. Arnold, L. Eugene Fristad, Mary. A Youngstrom, Eric A. Findling, Robert L. Phillips, Mary L. Predicting clinical outcome from reward circuitry function and white matter structure in behaviorally and emotionally dysregulated youth |
| author_facet |
Bertocci, Michele A. Bebko, Genna Versace, Amelia Fournier, Jay C. Iyengar, Satish Olino, Thomas Bonar, Lisa Almeida, Jorge R. C. Perlman, Susan B. Schirda, Claudiu Travis, Michael J. Gill, Mary Kay Diwadkar, Vaibhav A. Forbes, Erika E. Sunshine, Jeffrey L. Holland, Scott K Kowatch, Robert A. Birmaher, Boris Axelson, David Horwitz, Sarah M. Frazier, Thomas W. Arnold, L. Eugene Fristad, Mary. A Youngstrom, Eric A. Findling, Robert L. Phillips, Mary L. |
| author_sort |
Bertocci, Michele A. |
| title |
Predicting clinical outcome from reward circuitry function and white matter structure in behaviorally and emotionally dysregulated youth |
| title_short |
Predicting clinical outcome from reward circuitry function and white matter structure in behaviorally and emotionally dysregulated youth |
| title_full |
Predicting clinical outcome from reward circuitry function and white matter structure in behaviorally and emotionally dysregulated youth |
| title_fullStr |
Predicting clinical outcome from reward circuitry function and white matter structure in behaviorally and emotionally dysregulated youth |
| title_full_unstemmed |
Predicting clinical outcome from reward circuitry function and white matter structure in behaviorally and emotionally dysregulated youth |
| title_sort |
predicting clinical outcome from reward circuitry function and white matter structure in behaviorally and emotionally dysregulated youth |
| description |
Behavioral and emotional dysregulation in childhood may be understood as prodromal to adult psychopathology. Additionally, there is a critical need to identify biomarkers reflecting underlying neuropathological processes that predict clinical/behavioral outcomes in youth. We aimed to identify such biomarkers in youth with behavioral and emotional dysregulation in the Longitudinal Assessment of Manic Symptoms (LAMS) study. We examined neuroimaging measures of function and white matter in the whole brain using 80 youth aged 14.0(sd=2.0) from 3 clinical sites. Linear regression using the LASSO method for variable selection was used to predict severity of future behavioral and emotional dysregulation [measured by the Parent General Behavior Inventory-10 Item Mania Scale (PGBI-10M)] at a mean of 14.2 months follow-up after neuroimaging assessment. Neuroimaging measures, together with near-scan PGBI-10M, a score of manic behaviors, depressive behaviors, and sex, explained 28% of the variance in follow-up PGBI-10M. Neuroimaging measures alone, after accounting for other identified predictors, explained approximately one-third of the explained variance, in follow-up PGBI-10M. Specifically, greater bilateral cingulum length predicted lower PGBI-10M at follow-up. Greater functional connectivity in parietal-subcortical reward circuitry predicted greater PGBI-10M at follow-up. For the first time, data suggest that multimodal neuroimaging measures of underlying neuropathologic processes account for over a third of the explained variance in clinical outcome in a large sample of behaviorally and emotionally dysregulated youth. This may be an important first step toward identifying neurobiological measures with the potential to act as novel targets for early detection and future therapeutic interventions. |
| publishDate |
2016 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993633/ |
| _version_ |
1613632107128553472 |