Distinct Neural Signatures Detected for ADHD Subtypes After Controlling for Micro-Movements in Resting State Functional Connectivity MRI Data
In recent years, there has been growing enthusiasm that functional MRI could achieve clinical utility for a broad range of neuropsychiatric disorders. However, several barriers remain. For example, the acquisition of large-scale datasets capable of clarifying the marked heterogeneity that exists in...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2013-02-01
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| Series: | Frontiers in Systems Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnsys.2012.00080/full |
| _version_ | 1819237449787768832 |
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| author | Damien eFair Joel T Nigg Swathi eIyer Deepti eBathula Kathryn L Mills Nico UF Dosenbach Bradley L Schlaggar Maarten eMennes David eGutman Saroja eBangaru Jan K Buitelaar Daniel P Dickstein Adriana eDi Martino David N Kennedy Clare eKelly Beatriz eLuna Julie B Schweitzer Katerina eVelanova Yu-Feng eWang Yu-Feng eWang Stewart H Mostofsky Stewart H Mostofsky Francisco Xavier Castellanos Francisco Xavier Castellanos Michael P Milham Michael P Milham |
| author_facet | Damien eFair Joel T Nigg Swathi eIyer Deepti eBathula Kathryn L Mills Nico UF Dosenbach Bradley L Schlaggar Maarten eMennes David eGutman Saroja eBangaru Jan K Buitelaar Daniel P Dickstein Adriana eDi Martino David N Kennedy Clare eKelly Beatriz eLuna Julie B Schweitzer Katerina eVelanova Yu-Feng eWang Yu-Feng eWang Stewart H Mostofsky Stewart H Mostofsky Francisco Xavier Castellanos Francisco Xavier Castellanos Michael P Milham Michael P Milham |
| author_sort | Damien eFair |
| collection | DOAJ |
| description | In recent years, there has been growing enthusiasm that functional MRI could achieve clinical utility for a broad range of neuropsychiatric disorders. However, several barriers remain. For example, the acquisition of large-scale datasets capable of clarifying the marked heterogeneity that exists in psychiatric illnesses will need to be realized. In addition, there continues to be a need for the development of image processing and analysis methods capable of separating signal from artifact. As a prototypical hyperkinetic disorder, and movement related artifact being a significant confound in functional imaging studies, ADHD offers a unique challenge. As part of the ADHD-200 Global Competition and this special edition of Frontiers, the ADHD-200 Consortium demonstrates the utility of an aggregate dataset pooled across five institutions in addressing these challenges. The work aimed to A) examine the impact of emerging techniques for controlling for micro-movements, and B) provide novel insights into the neural correlates of ADHD subtypes. Using SVM based MVPA we show that functional connectivity patterns in individuals are capable of differentiating the two most prominent ADHD subtypes. The application of graph-theory revealed that the Combined (ADHD-C) and Inattentive (ADHD-I) subtypes demonstrated some overlapping (particularly sensorimotor systems), but unique patterns of atypical connectivity. For ADHD-C, atypical connectivity was prominent in midline default network components, as well as insular cortex; in contrast, the ADHD-I group exhibited atypical patterns within the dlPFC regions and cerebellum. Systematic motion-related artifact was noted, and highlighted the need for stringent motion correction. Findings reported were robust to the specific motion correction strategy employed. These data suggest that rs-fcMRI data can be used to characterize individual patients with ADHD and to identify neural distinctions underlying the clinical heterogeneity of ADHD. |
| first_indexed | 2024-12-23T13:20:31Z |
| format | Article |
| id | doaj.art-0da1998fe917498d9f679181cdb84724 |
| institution | Directory Open Access Journal |
| issn | 1662-5137 |
| language | English |
| last_indexed | 2024-12-23T13:20:31Z |
| publishDate | 2013-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Systems Neuroscience |
| spelling | doaj.art-0da1998fe917498d9f679181cdb847242022-12-21T17:45:27ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372013-02-01610.3389/fnsys.2012.0008032358Distinct Neural Signatures Detected for ADHD Subtypes After Controlling for Micro-Movements in Resting State Functional Connectivity MRI DataDamien eFair0Joel T Nigg1Swathi eIyer2Deepti eBathula3Kathryn L Mills4Nico UF Dosenbach5Bradley L Schlaggar6Maarten eMennes7David eGutman8Saroja eBangaru9Jan K Buitelaar10Daniel P Dickstein11Adriana eDi Martino12David N Kennedy13Clare eKelly14Beatriz eLuna15Julie B Schweitzer16Katerina eVelanova17Yu-Feng eWang18Yu-Feng eWang19Stewart H Mostofsky20Stewart H Mostofsky21Francisco Xavier Castellanos22Francisco Xavier Castellanos23Michael P Milham24Michael P Milham25Oregon Health and Science UniversityOregon Health and Science UniversityOregon Health and Science UniversityIndian Institute of Technology RoparOregon Health and Science UniversityWashington UniversityWashington UniversityNYU Langone Medical CenterNYU Langone Medical CenterNYU Langone Medical CenterRadboud University Nijmegen Medical CenterBrown UniversityNYU Langone Medical CenterUniversity of MassachusettsNYU Langone Medical CenterUniversity of PittsburghUniversity of California Davis School of MedicineUniversity of PittsburghPeking UniversityPeking UniversityKennedy Krieger InstituteJohns Hopkins UniversityNYU Langone Medical CenterNathan Kline InstituteChild Mind InstituteNathan Kline InstituteIn recent years, there has been growing enthusiasm that functional MRI could achieve clinical utility for a broad range of neuropsychiatric disorders. However, several barriers remain. For example, the acquisition of large-scale datasets capable of clarifying the marked heterogeneity that exists in psychiatric illnesses will need to be realized. In addition, there continues to be a need for the development of image processing and analysis methods capable of separating signal from artifact. As a prototypical hyperkinetic disorder, and movement related artifact being a significant confound in functional imaging studies, ADHD offers a unique challenge. As part of the ADHD-200 Global Competition and this special edition of Frontiers, the ADHD-200 Consortium demonstrates the utility of an aggregate dataset pooled across five institutions in addressing these challenges. The work aimed to A) examine the impact of emerging techniques for controlling for micro-movements, and B) provide novel insights into the neural correlates of ADHD subtypes. Using SVM based MVPA we show that functional connectivity patterns in individuals are capable of differentiating the two most prominent ADHD subtypes. The application of graph-theory revealed that the Combined (ADHD-C) and Inattentive (ADHD-I) subtypes demonstrated some overlapping (particularly sensorimotor systems), but unique patterns of atypical connectivity. For ADHD-C, atypical connectivity was prominent in midline default network components, as well as insular cortex; in contrast, the ADHD-I group exhibited atypical patterns within the dlPFC regions and cerebellum. Systematic motion-related artifact was noted, and highlighted the need for stringent motion correction. Findings reported were robust to the specific motion correction strategy employed. These data suggest that rs-fcMRI data can be used to characterize individual patients with ADHD and to identify neural distinctions underlying the clinical heterogeneity of ADHD.http://journal.frontiersin.org/Journal/10.3389/fnsys.2012.00080/fullfunctional connectivityADHDSupport Vector MachinesRDoCResearch Domain Criteria |
| spellingShingle | Damien eFair Joel T Nigg Swathi eIyer Deepti eBathula Kathryn L Mills Nico UF Dosenbach Bradley L Schlaggar Maarten eMennes David eGutman Saroja eBangaru Jan K Buitelaar Daniel P Dickstein Adriana eDi Martino David N Kennedy Clare eKelly Beatriz eLuna Julie B Schweitzer Katerina eVelanova Yu-Feng eWang Yu-Feng eWang Stewart H Mostofsky Stewart H Mostofsky Francisco Xavier Castellanos Francisco Xavier Castellanos Michael P Milham Michael P Milham Distinct Neural Signatures Detected for ADHD Subtypes After Controlling for Micro-Movements in Resting State Functional Connectivity MRI Data Frontiers in Systems Neuroscience functional connectivity ADHD Support Vector Machines RDoC Research Domain Criteria |
| title | Distinct Neural Signatures Detected for ADHD Subtypes After Controlling for Micro-Movements in Resting State Functional Connectivity MRI Data |
| title_full | Distinct Neural Signatures Detected for ADHD Subtypes After Controlling for Micro-Movements in Resting State Functional Connectivity MRI Data |
| title_fullStr | Distinct Neural Signatures Detected for ADHD Subtypes After Controlling for Micro-Movements in Resting State Functional Connectivity MRI Data |
| title_full_unstemmed | Distinct Neural Signatures Detected for ADHD Subtypes After Controlling for Micro-Movements in Resting State Functional Connectivity MRI Data |
| title_short | Distinct Neural Signatures Detected for ADHD Subtypes After Controlling for Micro-Movements in Resting State Functional Connectivity MRI Data |
| title_sort | distinct neural signatures detected for adhd subtypes after controlling for micro movements in resting state functional connectivity mri data |
| topic | functional connectivity ADHD Support Vector Machines RDoC Research Domain Criteria |
| url | http://journal.frontiersin.org/Journal/10.3389/fnsys.2012.00080/full |
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