Investigating the Added Value of FreeSurfer’s Manual Editing Procedure for the Study of the Reading Network in a Pediatric Population
Insights into brain anatomy are important for the early detection of neurodevelopmental disorders, such as dyslexia. FreeSurfer is one of the most frequently applied automatized software tools to study brain morphology. However, quality control of the outcomes provided by FreeSurfer is often ignored...
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| Published in | Frontiers in human neuroscience Vol. 14; p. 143 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Research Foundation
24.04.2020
Frontiers Media S.A |
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| Online Access | Get full text |
| ISSN | 1662-5161 1662-5161 |
| DOI | 10.3389/fnhum.2020.00143 |
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| Abstract | Insights into brain anatomy are important for the early detection of neurodevelopmental disorders, such as dyslexia. FreeSurfer is one of the most frequently applied automatized software tools to study brain morphology. However, quality control of the outcomes provided by FreeSurfer is often ignored and could lead to wrong statistical inferences. Additional manual editing of the data may be a solution, although not without a cost in time and resources. Past research in adults on comparing the automatized method of FreeSurfer with and without additional manual editing indicated that although editing may lead to significant differences in morphological measures between the methods in some regions, it does not substantially change the sensitivity to detect clinical differences. Given that automated approaches are more likely to fail in pediatric-and inherently more noisy-data, we investigated in the current study whether FreeSurfer can be applied fully automatically or additional manual edits of T1-images are needed in a pediatric sample. Specifically, cortical thickness and surface area measures with and without additional manual edits were compared in six regions of interest (ROIs) of the reading network in 5-to-6-year-old children with and without dyslexia. Results revealed that additional editing leads to statistical differences in the morphological measures, but that these differences are consistent across subjects and that the sensitivity to reveal statistical differences in the morphological measures between children with and without dyslexia is not affected, even though conclusions of marginally significant findings can differ depending on the method used. Thereby, our results indicate that additional manual editing of reading-related regions in FreeSurfer has limited gain for pediatric samples. |
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| AbstractList | Insights into brain anatomy are important for the early detection of neurodevelopmental disorders, such as dyslexia. FreeSurfer is one of the most frequently applied automatized software tools to study brain morphology. However, quality control of the outcomes provided by FreeSurfer is often ignored and could lead to wrong statistical inferences. Additional manual editing of the data may be a solution, although not without a cost in time and resources. Past research in adults on comparing the automatized method of FreeSurfer with and without additional manual editing indicated that although editing may lead to significant differences in morphological measures between the methods in some regions, it does not substantially change the sensitivity to detect clinical differences. Given that automated approaches are more likely to fail in pediatric—and inherently more noisy—data, we investigated in the current study whether FreeSurfer can be applied fully automatically or additional manual edits of T1-images are needed in a pediatric sample. Specifically, cortical thickness and surface area measures with and without additional manual edits were compared in six regions of interest (ROIs) of the reading network in 5-to-6-year-old children with and without dyslexia. Results revealed that additional editing leads to statistical differences in the morphological measures, but that these differences are consistent across subjects and that the sensitivity to reveal statistical differences in the morphological measures between children with and without dyslexia is not affected, even though conclusions of marginally significant findings can differ depending on the method used. Thereby, our results indicate that additional manual editing of reading-related regions in FreeSurfer has limited gain for pediatric samples. Insights into brain anatomy are important for the early detection of neurodevelopmental disorders, such as dyslexia. FreeSurfer is one of the most frequently applied automatized software tools to study brain morphology. However, quality control of the outcomes provided by FreeSurfer is often ignored and could lead to wrong statistical inferences. Additional manual editing of the data may be a solution, although not without a cost in time and resources. Past research in adults on comparing the automatized method of FreeSurfer with and without additional manual editing indicated that although editing may lead to significant differences in morphological measures between the methods in some regions, it does not substantially change the sensitivity to detect clinical differences. Given that automated approaches are more likely to fail in pediatric-and inherently more noisy-data, we investigated in the current study whether FreeSurfer can be applied fully automatically or additional manual edits of T1-images are needed in a pediatric sample. Specifically, cortical thickness and surface area measures with and without additional manual edits were compared in six regions of interest (ROIs) of the reading network in 5-to-6-year-old children with and without dyslexia. Results revealed that additional editing leads to statistical differences in the morphological measures, but that these differences are consistent across subjects and that the sensitivity to reveal statistical differences in the morphological measures between children with and without dyslexia is not affected, even though conclusions of marginally significant findings can differ depending on the method used. Thereby, our results indicate that additional manual editing of reading-related regions in FreeSurfer has limited gain for pediatric samples.Insights into brain anatomy are important for the early detection of neurodevelopmental disorders, such as dyslexia. FreeSurfer is one of the most frequently applied automatized software tools to study brain morphology. However, quality control of the outcomes provided by FreeSurfer is often ignored and could lead to wrong statistical inferences. Additional manual editing of the data may be a solution, although not without a cost in time and resources. Past research in adults on comparing the automatized method of FreeSurfer with and without additional manual editing indicated that although editing may lead to significant differences in morphological measures between the methods in some regions, it does not substantially change the sensitivity to detect clinical differences. Given that automated approaches are more likely to fail in pediatric-and inherently more noisy-data, we investigated in the current study whether FreeSurfer can be applied fully automatically or additional manual edits of T1-images are needed in a pediatric sample. Specifically, cortical thickness and surface area measures with and without additional manual edits were compared in six regions of interest (ROIs) of the reading network in 5-to-6-year-old children with and without dyslexia. Results revealed that additional editing leads to statistical differences in the morphological measures, but that these differences are consistent across subjects and that the sensitivity to reveal statistical differences in the morphological measures between children with and without dyslexia is not affected, even though conclusions of marginally significant findings can differ depending on the method used. Thereby, our results indicate that additional manual editing of reading-related regions in FreeSurfer has limited gain for pediatric samples. Insights into brain anatomy are important for early detection of neurodevelopmental disorders, such as dyslexia. FreeSurfer is one of the most frequently applied automatized software tools to study brain morphology. However, quality control of the outcomes provided by FreeSurfer is often ignored and could lead to wrong statistical inferences. Additional manual editing of the data may be a solution, although not without a cost in time and resources. Past research in adults on comparing the automatized method of FreeSurfer with and without additional manual editing indicated that although editing may lead to significant differences in morphological measures between the methods in some regions, it does not substantially change the sensitivity to detect clinical differences. Given that automated approaches are more likely to fail in pediatric -and inherently more noisy- data, we investigated in the current study whether FreeSurfer can be applied fully automatically or additional manual edits of T1-images are needed in a pediatric sample. Specifically, cortical thickness and surface area measures with and without additional manual edits were compared in six ROIs of the reading network in 5-to-6 year old children with and without dyslexia. Results revealed that additional editing leads to statistical differences in the morphological measures, but that these differences are consistent across subjects and that the sensitivity to reveal statistical differences in the morphological measures between children with and without dyslexia is not affected, even though conclusions of marginally significant findings can differ depending on the method used. Thereby, our results indicate that additional manual editing of reading-related regions in FreeSurfer has limited gain for pediatric samples. |
| Author | Ghesquière, Pol Beelen, Caroline Phan, Thanh Vân Wouters, Jan Vandermosten, Maaike |
| AuthorAffiliation | 2 Icometrix Company , Leuven , Belgium 3 Research Group ExpORL, Department of Neuroscience, KU Leuven , Leuven , Belgium 1 Parenting and Special Education Research Unit, Faculty of Psychology and Educational Sciences, KU Leuven , Leuven , Belgium |
| AuthorAffiliation_xml | – name: 2 Icometrix Company , Leuven , Belgium – name: 1 Parenting and Special Education Research Unit, Faculty of Psychology and Educational Sciences, KU Leuven , Leuven , Belgium – name: 3 Research Group ExpORL, Department of Neuroscience, KU Leuven , Leuven , Belgium |
| Author_xml | – sequence: 1 givenname: Caroline surname: Beelen fullname: Beelen, Caroline – sequence: 2 givenname: Thanh Vân surname: Phan fullname: Phan, Thanh Vân – sequence: 3 givenname: Jan surname: Wouters fullname: Wouters, Jan – sequence: 4 givenname: Pol surname: Ghesquière fullname: Ghesquière, Pol – sequence: 5 givenname: Maaike surname: Vandermosten fullname: Vandermosten, Maaike |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32390814$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1186_s43055_023_01091_0 crossref_primary_10_1016_j_pscychresns_2021_111297 crossref_primary_10_3390_children9060800 crossref_primary_10_3389_fnins_2020_598868 crossref_primary_10_3389_fnins_2022_874062 crossref_primary_10_3389_fnins_2022_835964 crossref_primary_10_1016_j_neuroimage_2021_118174 crossref_primary_10_1038_s41380_020_00967_1 crossref_primary_10_1177_19714009231166100 crossref_primary_10_1007_s00429_021_02372_y crossref_primary_10_1162_netn_a_00277 crossref_primary_10_1016_j_neuroimage_2023_120306 |
| Cites_doi | 10.1016/j.neuroimage.2006.01.021 10.1371/journal.pmed.0030265 10.1001/archgenpsychiatry.2011.36 10.1002/hbm.20496 10.1109/42.668698 10.1162/jocn.1993.5.2.162 10.1002/mds.23762 10.1016/j.neuroimage.2004.07.016 10.1002/wcs.1383 10.1111/j.1365-2214.2007.00747.x 10.1093/cercor/bhp026 10.1089/neu.2008.0615 10.1523/JNEUROSCI.3209-13.2014 10.1038/npp.2017.83 10.1007/s12021-019-09426-x 10.1002/aur.1497 10.1016/j.rasd.2010.03.011 10.1006/nimg.2002.1185 10.1016/j.nicl.2018.03.026 10.1109/tmi.2006.887364 10.1016/j.rasd.2010.01.014 10.1016/j.neuroimage.2018.04.035 10.1016/j.cortex.2019.09.010 10.1002/hbm.22933 10.1002/hbm.22068 10.1016/j.neuroimage.2009.12.028 10.1016/j.neuroimage.2014.12.006 10.1002/mrm.23228 10.1002/jmri.21434 10.1016/j.neuroimage.2010.06.017 10.1002/(sici)1097-0193(1999)8:4<272::aid-hbm10>3.0.co;2-4 10.1016/j.nicl.2013.03.008 10.1002/mrm.22176 10.1002/hbm.21334 10.1002/hbm.20752 10.1016/j.neuroimage.2011.07.044 10.1371/journal.pone.0094019 10.1016/j.neuroimage.2008.12.046 10.1002/hbm.23911 10.1007/s00234-008-0383-9 10.1016/j.dcn.2017.08.009 10.1006/nimg.2002.1076 10.1097/00004583-200109000-00009 10.1016/j.nicl.2018.05.030 10.1016/j.neuroimage.2016.01.038 10.3389/fnins.2016.00558 10.1080/02796015.2007.12087917 10.1111/acer.12024 10.1038/nrneurol.2009.41 10.1007/s12021-014-9229-2 10.3389/fnins.2015.00379 10.1089/neu.2014.3534 10.1186/s13229-016-0076-x 10.1016/s0896-6273(02)00569-x 10.1006/nimg.1998.0395 10.1002/hbm.23180 10.1007/s00247-011-2205-1 10.1016/j.neuroimage.2010.06.010 10.1016/j.neuroimage.2004.03.032 10.1016/j.jaac.2015.04.005 10.1016/j.schres.2006.10.014 10.1002/hbm.24017 10.1073/pnas.200033797 10.1006/nimg.1998.0396 10.1037/edu0000181 10.1016/j.neuroimage.2017.02.069 10.1212/wnl.58.5.695 10.1006/nimg.2000.0651 10.1007/s11682-018-9951-8 10.1109/42.906426 10.1111/j.1528-1167.2011.03085.x 10.1016/j.neuroimage.2016.09.068 |
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| Keywords | pediatric T1-weighted images manual editing reading network developmental neuroimaging automated processing FreeSurfer |
| Language | English |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 These authors share last authorship Edited by: Dieter J. Meyerhoff, University of California, San Francisco, United States Specialty section: This article was submitted to Brain Imaging and Stimulation, a section of the journal Frontiers in Human Neuroscience Reviewed by: Joseph O’Neill, University of California, Los Angeles, United States; Farshid Sepehrband, University of Southern California, United States |
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| References | Makowski (B36) 2018; 170 van den Bos (B7) 1994 Rosas (B52) 2002; 58 Alexander-Bloch (B2) 2016; 37 Jones (B31) 2007; 33 White (B68) 2018; 39 Blumenthal (B6) 2002; 16 Ségonne (B57) 2007; 26 Widjaja (B69) 2011; 52 Destrieux (B15) 2010; 53 Gold (B28) 2017; 42 Wolosin (B71) 2009; 30 Overvliet (B44) 2013; 2 Brown (B8) 2010; 53 Fischl (B26); 8 Spinks (B59) 2002; 17 Winkler (B70) 2010; 53 Durston (B17) 2001; 40 Muzik (B41) 2000; 12 Wanzek (B65) 2007; 36 Alexander (B1) 2017; 147 Rosas (B53) 2011; 26 White (B67) 2010; 63 Hedman (B30) 2012; 33 Panizzon (B46) 2009; 19 Fischl (B25); 9 Richlan (B51) 2009; 30 Eickhoff (B18) 2015; 36 Guenette (B29) 2018; 18 Kuperman (B33) 2011; 41 Schmidt (B54) 2018; 39 Sied (B58) 1998; 17 Barkhof (B4) 2009; 5 Fischl (B21) 2000; 97 Dale (B12) 1999; 9 van Dijk (B16) 2012; 59 Mahajan (B35) 2016; 9 Yang (B73) 2016; 7 Makrygianni (B37) 2010; 4 Nugent (B43) 2007; 90 Reuter (B50) 2015; 107 Mayer (B38) 2015; 32 McCarthy (B39) 2015; 9 Phan (B49); 33 Desikan (B14) 2006; 31 Tae (B61) 2008; 50 Sta Cruz (B60) 2020; 18 Ségonne (B56) 2004; 22 Fischl (B24) 2002; 33 Merkley (B40) 2008; 25 Fallucca (B20) 2011; 68 Estes (B19) 2015; 54 Dale (B13) 1993; 5 Wozniak (B72) 2013; 37 Brus (B9) 1973 Vanvooren (B64) 2014; 34 Peters-Scheffer (B47) 2011; 5 Schoemaker (B55) 2016; 129 Canna (B10) 2018; 176 Theys (B62) 2014; 9 Waters (B66) 2019; 13 Phan (B48); 19 Fischl (B22) 2001; 20 Fischl (B23) 2004; 23 Beelen (B5) 2019; 121 Yoon (B74) 2009; 45 Kapellou (B32) 2006; 3 Backhausen (B3) 2016; 10 Nugent (B42) 2013; 34 Ozernov-Palchik (B45) 2016; 7 Cardinale (B11) 2014; 12 Tisdall (B63) 2012; 68 Lovett (B34) 2017; 109 Gedamu (B27) 2008; 28 |
| References_xml | – volume: 31 start-page: 968 year: 2006 ident: B14 article-title: An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest publication-title: NeuroImage doi: 10.1016/j.neuroimage.2006.01.021 – volume: 3 start-page: e265 year: 2006 ident: B32 article-title: Abnormal cortical development after premature birth shown by altered allometric scaling of brain growth publication-title: PLoS Med. doi: 10.1371/journal.pmed.0030265 – volume: 68 start-page: 527 year: 2011 ident: B20 article-title: Distinguishing between major depressive disorder and obsessive-compulsive disorder in children by measuring regional cortical thickness publication-title: Arch. Gen. Psychiatry doi: 10.1001/archgenpsychiatry.2011.36 – volume: 30 start-page: 175 year: 2009 ident: B71 article-title: Abnormal cerebral cortex structure in children with ADHD publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.20496 – volume: 17 start-page: 87 year: 1998 ident: B58 article-title: A nonparametric method for automatic correction of intensity nonuniformity in MRI data publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.668698 – volume: 5 start-page: 162 year: 1993 ident: B13 article-title: Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach publication-title: J. Cogn. Neurosci. doi: 10.1162/jocn.1993.5.2.162 – volume: 26 start-page: 1691 year: 2011 ident: B53 article-title: A tale of two factors: what determines the rate of progression in Huntington’s disease? A longitudinal MRI study publication-title: Mov. Disord. doi: 10.1002/mds.23762 – volume-title: De Klepel Vorm A En B: Verantwoording, Handleiding, Diagnostiek En Behandeling. year: 1994 ident: B7 – volume: 23 start-page: 69 year: 2004 ident: B23 article-title: Sequence-independent segmentation of magnetic resonance images publication-title: NeuroImage doi: 10.1016/j.neuroimage.2004.07.016 – volume: 7 start-page: 156 year: 2016 ident: B45 article-title: Tackling the ‘Dyslexia Paradox’: reading brain and behavior for early markers of developmental dyslexia publication-title: Wiley Interdiscip. Rev. Cogn. Sci. doi: 10.1002/wcs.1383 – volume: 33 start-page: 749 year: 2007 ident: B31 article-title: Efficacy of the incredible years basic parent training programme as an early intervention for children with conduct problems and ADHD publication-title: Child Care Health Dev. doi: 10.1111/j.1365-2214.2007.00747.x – volume: 19 start-page: 2728 year: 2009 ident: B46 article-title: Distinct genetic influences on cortical surface area and cortical thickness publication-title: Cereb. Cortex doi: 10.1093/cercor/bhp026 – volume: 25 start-page: 1343 year: 2008 ident: B40 article-title: Short communication: diffuse changes in cortical thickness in pediatric moderate-to-severe traumatic brain injury publication-title: J. Neurotrauma doi: 10.1089/neu.2008.0615 – volume: 34 start-page: 1523 year: 2014 ident: B64 article-title: Hemispheric asymmetry in auditory processing of speech envelope modulations in prereading children publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.3209-13.2014 – volume: 42 start-page: 2423 year: 2017 ident: B28 article-title: Cortical thickness and subcortical gray matter volume in pediatric anxiety disorders publication-title: Neuropsychopharmacology doi: 10.1038/npp.2017.83 – volume: 18 start-page: 59 year: 2020 ident: B60 article-title: Imputation strategy for reliable regional MRI morphological measurements publication-title: Neuroinformatics doi: 10.1007/s12021-019-09426-x – volume: 9 start-page: 67 year: 2016 ident: B35 article-title: Motor circuit anatomy in children with autism spectrum disorder with or without attention deficit hyperactivity disorder publication-title: Med. Hypotheses doi: 10.1002/aur.1497 – volume: 5 start-page: 60 year: 2011 ident: B47 article-title: A meta-analytic study on the effectiveness of comprehensive ABA-based early intervention programs for children with autism spectrum disorders publication-title: Res. Autism Spectr. Disord. doi: 10.1016/j.rasd.2010.03.011 – volume: 17 start-page: 631 year: 2002 ident: B59 article-title: Manual and automated measurement of the whole thalamus and mediodorsal nucleus using magnetic resonance imaging publication-title: NeuroImage doi: 10.1006/nimg.2002.1185 – volume: 18 start-page: 888 year: 2018 ident: B29 article-title: Automated versus manual segmentation of brain region volumes in former football players publication-title: Neuroimage Clin. doi: 10.1016/j.nicl.2018.03.026 – volume: 26 start-page: 518 year: 2007 ident: B57 article-title: Geometrically accurate topology-correction of cortical surfaces using nonseparating loops publication-title: IEEE Trans. Med. Imaging doi: 10.1109/tmi.2006.887364 – volume: 4 start-page: 577 year: 2010 ident: B37 article-title: A meta-analytic review of the effectiveness of behavioural early intervention programs for children with autistic spectrum disorders publication-title: Res. Autism Spectr. Disord. doi: 10.1016/j.rasd.2010.01.014 – volume: 176 start-page: 56 year: 2018 ident: B10 article-title: Automated search of control points in surface-based morphometry publication-title: NeuroImage doi: 10.1016/j.neuroimage.2018.04.035 – volume: 121 start-page: 399 year: 2019 ident: B5 article-title: Atypical gray matter in children with dyslexia before the onset of reading instruction publication-title: Cortex doi: 10.1016/j.cortex.2019.09.010 – volume: 36 start-page: 4771 year: 2015 ident: B18 article-title: Connectivity-based parcellation: critique and implications publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.22933 – volume: 34 start-page: 2313 year: 2013 ident: B42 article-title: Automated subcortical segmentation using FIRST: test-retest reliability, interscanner reliability, and comparison to manual segmentation publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.22068 – volume: 53 start-page: 1135 year: 2010 ident: B70 article-title: Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies publication-title: NeuroImage doi: 10.1016/j.neuroimage.2009.12.028 – volume: 107 start-page: 107 year: 2015 ident: B50 article-title: Head motion during MRI acquisition reduces gray matter volume and thickness estimates publication-title: NeuroImage doi: 10.1016/j.neuroimage.2014.12.006 – volume: 68 start-page: 389 year: 2012 ident: B63 article-title: Volumetric navigators (VNavs) for prospective motion correction and selective reacquisition in neuroanatomical MRI publication-title: Magn. Reson. Med. doi: 10.1002/mrm.23228 – volume: 28 start-page: 308 year: 2008 ident: B27 article-title: Automated quality control of brain MR images publication-title: J. Magn. Reson. Imaging doi: 10.1002/jmri.21434 – volume: 53 start-page: 139 year: 2010 ident: B8 article-title: Prospective motion correction of high-resolution magnetic resonance imaging data in children publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.06.017 – volume: 8 start-page: 272 ident: B26 article-title: High-resolution intersubject averaging and a coordinate system for the cortical surface publication-title: Hum. Brain Mapp. doi: 10.1002/(sici)1097-0193(1999)8:4<272::aid-hbm10>3.0.co;2-4 – volume-title: Een Minuut Test, Vorm A En B. year: 1973 ident: B9 – volume: 2 start-page: 434 year: 2013 ident: B44 article-title: Early onset of cortical thinning in children with rolandic epilepsy publication-title: Neuroimage Clin. doi: 10.1016/j.nicl.2013.03.008 – volume: 63 start-page: 91 year: 2010 ident: B67 article-title: PROMO: real-time prospective motion correction in MRI using image-based tracking publication-title: Magn. Reson. Med. doi: 10.1002/mrm.22176 – volume: 33 start-page: 1987 year: 2012 ident: B30 article-title: Human brain changes across the life span: a review of 56 longitudinal magnetic resonance imaging studies publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.21334 – volume: 30 start-page: 3299 year: 2009 ident: B51 article-title: Functional abnormalities in the dyslexic brain: a quantitative meta-analysis of neuroimaging studies publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.20752 – volume: 59 start-page: 431 year: 2012 ident: B16 article-title: The influence of head motion on intrinsic functional connectivity MRI publication-title: NeuroImage doi: 10.1016/j.neuroimage.2011.07.044 – volume: 9 start-page: e94019 year: 2014 ident: B62 article-title: Diffusion tensor imaging and resting-state functional MRI-scanning in 5- and 6-year-old children: training protocol and motion assessment publication-title: PLoS One doi: 10.1371/journal.pone.0094019 – volume: 45 start-page: 769 year: 2009 ident: B74 article-title: The effect of template choice on morphometric analysis of pediatric brain data publication-title: NeuroImage doi: 10.1016/j.neuroimage.2008.12.046 – volume: 39 start-page: 1218 year: 2018 ident: B68 article-title: Automated quality assessment of structural magnetic resonance images in children: comparison with visual inspection and surface-based reconstruction publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.23911 – volume: 50 start-page: 569 year: 2008 ident: B61 article-title: Validation of hippocampal volumes measured using a manual method and two automated methods (FreeSurfer and IBASPM) in chronic major depressive disorder publication-title: Neuroradiology doi: 10.1007/s00234-008-0383-9 – volume: 33 start-page: 206 ident: B49 article-title: Processing of structural neuroimaging data in young children: bridging the gap between current practice and state-of-the-art methods publication-title: Dev. Cogn. Neurosci. doi: 10.1016/j.dcn.2017.08.009 – volume: 16 start-page: 89 year: 2002 ident: B6 article-title: Motion artifact in magnetic resonance imaging: implications for automated analysis publication-title: NeuroImage doi: 10.1006/nimg.2002.1076 – volume: 40 start-page: 1012 year: 2001 ident: B17 article-title: Anatomical MRI of the developing human brain: what have we learned? publication-title: J. Am. Acad. Child Adolesc. Psychiatry doi: 10.1097/00004583-200109000-00009 – volume: 19 start-page: 734 ident: B48 article-title: Evaluation of methods for volumetric analysis of pediatric brain data: the childmetrix pipeline versus adult-based approaches publication-title: Neuroimage Clin. doi: 10.1016/j.nicl.2018.05.030 – volume: 129 start-page: 1 year: 2016 ident: B55 article-title: Hippocampus and amygdala volumes from magnetic resonance images in children: assessing accuracy of FreeSurfer and FSL against manual segmentation publication-title: NeuroImage doi: 10.1016/j.neuroimage.2016.01.038 – volume: 10 start-page: 558 year: 2016 ident: B3 article-title: Quality control of structural MRI images applied using freesurfer-a hands-on workflow to rate motion artifacts publication-title: Front. Neurosci. doi: 10.3389/fnins.2016.00558 – volume: 36 start-page: 541 year: 2007 ident: B65 article-title: Research-based implications from extensive early reading interventions publication-title: School Psychol. Rev. doi: 10.1080/02796015.2007.12087917 – volume: 37 start-page: 748 year: 2013 ident: B72 article-title: Global functional connectivity abnormalities in children with fetal alcohol spectrum disorders publication-title: Alcohol. Clin. Exp. Res. doi: 10.1111/acer.12024 – volume: 5 start-page: 256 year: 2009 ident: B4 article-title: Imaging outcomes for neuroprotection and repair in multiple sclerosis trials publication-title: Nat. Rev. Neurol. doi: 10.1038/nrneurol.2009.41 – volume: 12 start-page: 535 year: 2014 ident: B11 article-title: Validation of freesurfer-estimated brain cortical thickness: comparison with histologic measurements publication-title: Neuroinformatics doi: 10.1007/s12021-014-9229-2 – volume: 9 start-page: 379 year: 2015 ident: B39 article-title: A comparison of freesurfer-generated data with and without manual intervention publication-title: Front. Neurosci. doi: 10.3389/fnins.2015.00379 – volume: 32 start-page: 723 year: 2015 ident: B38 article-title: Gray matter abnormalities in pediatric mild traumatic brain injury publication-title: J. Neurotrauma doi: 10.1089/neu.2014.3534 – volume: 7 start-page: 11 year: 2016 ident: B73 article-title: Cortical morphological markers in children with autism: a structural magnetic resonance imaging study of thickness, area, volume, and gyrification publication-title: Mol. Autism doi: 10.1186/s13229-016-0076-x – volume: 33 start-page: 341 year: 2002 ident: B24 article-title: Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain publication-title: Neuron doi: 10.1016/s0896-6273(02)00569-x – volume: 9 start-page: 179 year: 1999 ident: B12 article-title: Cortical surface-based analysis. I. segmentation and surface reconstruction publication-title: NeuroImage doi: 10.1006/nimg.1998.0395 – volume: 37 start-page: 2385 year: 2016 ident: B2 article-title: Subtle in-scanner motion biases automated measurement of brain anatomy from in vivo MRI publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.23180 – volume: 41 start-page: 1578 year: 2011 ident: B33 article-title: Prospective motion correction improves diagnostic utility of pediatric MRI scans publication-title: Pediatr. Radiol. doi: 10.1007/s00247-011-2205-1 – volume: 53 start-page: 1 year: 2010 ident: B15 article-title: Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature publication-title: NeuroImage doi: 10.1016/j.neuroimage.2010.06.010 – volume: 22 start-page: 1060 year: 2004 ident: B56 article-title: A hybrid approach to the skull stripping problem in MRI publication-title: NeuroImage doi: 10.1016/j.neuroimage.2004.03.032 – volume: 54 start-page: 580 year: 2015 ident: B19 article-title: Long-term outcomes of early intervention in 6-year-old children with autism spectrum disorder publication-title: J. Am. Acad. Child Adolesc. Psychiatry doi: 10.1016/j.jaac.2015.04.005 – volume: 90 start-page: 62 year: 2007 ident: B43 article-title: Dynamic mapping of hippocampal development in childhood onset schizophrenia publication-title: Schizophr. Res. doi: 10.1016/j.schres.2006.10.014 – volume: 39 start-page: 2500 year: 2018 ident: B54 article-title: A comparison of manual tracing and freesurfer for estimating hippocampal volume over the adult lifespan publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.24017 – volume: 97 start-page: 11050 year: 2000 ident: B21 article-title: Measuring the thickness of the human cerebral cortex from magnetic resonance images publication-title: Proc. Natl. Acad. Sci. U S A doi: 10.1073/pnas.200033797 – volume: 9 start-page: 195 ident: B25 article-title: Cortical surface-based analysis. II: inflation, flattening and a surface-based coordinate system publication-title: NeuroImage doi: 10.1006/nimg.1998.0396 – volume: 109 start-page: 889 year: 2017 ident: B34 article-title: Early intervention for children at risk for reading disabilities: the impact of grade at intervention and individual differences on intervention outcomes publication-title: J. Educ. Psychol. doi: 10.1037/edu0000181 – volume: 170 start-page: 182 year: 2018 ident: B36 article-title: Evaluating accuracy of striatal, pallidal, and thalamic segmentation methods: comparing automated approaches to manual delineation publication-title: NeuroImage doi: 10.1016/j.neuroimage.2017.02.069 – volume: 58 start-page: 695 year: 2002 ident: B52 article-title: Regional and progressive thinning of the cortical ribbon in Huntington’s disease publication-title: Neurology doi: 10.1212/wnl.58.5.695 – volume: 12 start-page: 538 year: 2000 ident: B41 article-title: Statistical parametric mapping: assessment of application in children publication-title: NeuroImage doi: 10.1006/nimg.2000.0651 – volume: 13 start-page: 1281 year: 2019 ident: B66 article-title: Identifying errors in freesurfer automated skull stripping and the incremental utility of manual intervention publication-title: Brain Imaging Behav. doi: 10.1007/s11682-018-9951-8 – volume: 20 start-page: 70 year: 2001 ident: B22 article-title: Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex publication-title: IEEE Trans. Med. Imaging doi: 10.1109/42.906426 – volume: 52 start-page: 1685 year: 2011 ident: B69 article-title: Widespread cortical thinning in children with frontal lobe epilepsy publication-title: Epilepsia doi: 10.1111/j.1528-1167.2011.03085.x – volume: 147 start-page: 841 year: 2017 ident: B1 article-title: A new neonatal cortical and subcortical brain atlas: the melbourne children’s regional infant brain (M-CRIB) atlas publication-title: NeuroImage doi: 10.1016/j.neuroimage.2016.09.068 |
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| Title | Investigating the Added Value of FreeSurfer’s Manual Editing Procedure for the Study of the Reading Network in a Pediatric Population |
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