Neuroanatomical Assessment of Biological Maturity

Cited by (332)

Items 101–200 of 332

1. Quantification of the Biological Age of the Brain Using Neuroimaging
   James Howard Cole, Katja Franke, Nicolas Cherbuin · 2019 · Healthy ageing and longevity
2. A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility
   Robert J. Jirsaraie, Aaron J. Gorelik, Mārtiņš M. Gataviņš, Denis Alexander Engemann, Ryan Bogdan, Deanna M. Barch, Aristeidis Sotiras · 2023 · Patterns
3. Estimating the age of healthy infants from quantitative myelin water fraction maps
   Douglas Dean, Jonathan O’Muircheartaigh, Holly Dirks, Nicole Waskiewicz, Katie Lehman, Lindsay Walker, Irene Piryatinsky, Sean Deoni · 2015 · Human Brain Mapping
4. Hypertension-Related Alterations in White Matter Microstructure Detectable in Middle Age
   Linda K. McEvoy, Christine Fennema‐Notestine, Lisa T. Eyler, Carol E. Franz, Donald J. Hagler, Michael J. Lyons, Matthew S. Panizzon, Daniel A. Rinker, Anders Martin Dale, William S. Kremen · 2015 · Hypertension
5. The Speed of Development of Adolescent Brain Age Depends on Sex and Is Genetically Determined
   Rachel M. Brouwer, Jelle Schutte, Ronald Johannes Janssen, Dorret Irene Boomsma, Hilleke E. Hulshoff Pol, Hugo Gerard Schnack · 2020 · Cerebral Cortex
6. Adult rat cortical thickness changes across age and following adolescent intermittent ethanol treatment
   Vetreno, Ryan P., Yaxley, Richard, Paniagua, Beatriz, Johnson, G. Allan, Crews, Fulton T. · 2017 · Addiction Biology
7. The Neurobiology of Childhood Structural Brain Development: Conception Through Adulthood
   Suzanne M. Houston, Megan M. Herting, Elizabeth R. Sowell · 2013 · Current topics in behavioral neurosciences
8. The pediatric template of brain perfusion
   Brian Avants, Jeffrey Duda, Emily Kilroy, Kate E. Krasileva, Kay Jann, Benjamin M. Kandel, Nicholas James Tustison, Lirong Yan, Mayank Jog, Robert X. Smith et al. · 2015 · Scientific Data
9. Linking brain maturation and puberty during early adolescence using longitudinal brain age prediction in the ABCD cohort
   Madelene C. Holm, Esten Høyland Leonardsen, Dani Beck, Andreas Dahl, Rikka Kjelkenes, Ann‐Marie G. de Lange, Lars Tjelta Westlye · 2023 · Developmental Cognitive Neuroscience
10. Neuroanatomical characteristics of youths with prenatal opioid and poly-drug exposure
    Nygaard, Egil, Slinning, Kari, Moe, Vibeke, Due-Tønnessen, Paulina, Fjell, Anders, Walhovd, Kristine B. · 2018 · Neurotoxicology and Teratology
11. Using neuroimaging to help predict the onset of psychosis
    George Gifford, Nicolas Andres Crossley, Paolo Fusar‐Poli, Hugo Gerard Schnack, René S. Kahn, Nikolaos Koutsouleris, Tyrone D. Cannon, Philip K. McGuire · 2016 · NeuroImage
12. Individual variation underlying brain age estimates in typical development
    Gareth Ball, Claire E. Kelly, Richard J Beare, Marc L. Seal · 2021 · NeuroImage
13. Opportunities for Neurodevelopmental Plasticity From Infancy Through Early Adulthood
    Amanda E. Guyer, Koraly E. Pérez‐Edgar, Eveline A. Crone · 2018 · Child Development
14. White matter microstructure among youth with perinatally acquired HIV is associated with disease severity
    Kristina A. Uban, Megan M. Herting, Paige L. Williams, Tanvi Ajmera, Prapti Gautam, Yanling Huo, Kathleen Malee, Ram Yogev, John G. Csernansky, Lei Wang et al. · 2015 · AIDS
15. Cortical reorganization during adolescence: What the rat can tell us about the cellular basis
    Janice M. Juraska, Carly M. Drzewiecki · 2020 · Developmental Cognitive Neuroscience
16. Real-Life Impact of Executive Function Impairments in Adults Who Were Born Very Preterm
    Jasmin Kroll, Vyacheslav R. Karolis, Philip James Brittain, Chieh-En Jane Tseng, Seán Froudist‐Walsh, Robin M. Murray, Chiara Nosarti · 2017 · Journal of the International Neuropsychological Society
17. The Neurobiology of Childhood Structural Brain Development: Conception Through Adulthood
    Suzanne M. Houston, Megan M. Herting, Elizabeth R. Sowell · 2013 · Current topics in behavioral neurosciences
18. Cortical thickness change in autism during early childhood: CT in Early Childhood ASD
    Smith, Elizabeth, Thurm, Audrey, Greenstein, Deanna, Farmer, Cristan, Swedo, Susan, Giedd, Jay, Raznahan, Armin · 2016 · Human Brain Mapping
19. Anxiety is related to indices of cortical maturation in typically developing children and adolescents
    Erik R. Newman, Wesley Kurt Thompson, Hauke Bartsch, Donald J. Hagler, Chi‐Hua Chen, Timothy T. Brown, Joshua M. Kuperman, Connor J. McCabe, Yoonho Chung, Ondrej Libiger et al. · 2015 · Brain Structure and Function
20. Cortical remodelling in childhood is associated with genes enriched for neurodevelopmental disorders
    Gareth Ball, Jakob Seidlitz, Richard J Beare, Marc L. Seal · 2020 · NeuroImage
21. Reading skill and structural brain development
    Suzanne M. Houston, Catherine A. Lebel, Tami Katzir, Franklin R. Manis, Eric Kan, Genevieve Rodriguez, Elizabeth R. Sowell · 2014 · Neuroreport
22. An unbiased data-driven age-related structural brain parcellation for the identification of intrinsic brain volume changes over the adult lifespan
    Epifanio Bagarinao, Hirohisa Watanabe, Satoshi Maesawa, Daisuke Mori, Kazuhiro Hara, Kazuya Kawabata, Noritaka Yoneyama, Reiko Ohdake, Kazunori Imai, Michihito Masuda et al. · 2017 · NeuroImage
23. Age of gray matters: Neuroprediction of recidivism
    Kent A. Kiehl, Nathaniel E. Anderson, Eyal Aharoni, J. Michael Maurer, Keith A. Harenski, Vikram Rao, Eric Daniel Claus, Carla L. Harenski, Mike Koenigs, Jean Decety et al. · 2018 · NeuroImage Clinical
24. Brain structural maturation and the foundations of cognitive behavioral development.
    K. Walhovd, C. Tamnes, A. Fjell · 2014 · Current Opinion in Neurology
25. Large-Scale Structural Covariance Networks Predict Age in Middle-to-Late Adulthood: A Novel Brain Aging Biomarker
    Chen-Yuan Kuo, Pei‐Lin Lee, Sheng‐Che Hung, Li-Kuo Liu, Wei‐Ju Lee, Chih‐Ping Chung, Albert C. Yang, Shih‐Jen Tsai, Pei‐Ning Wang, Liang‐Kung Chen et al. · 2020 · Cerebral Cortex
26. Longitudinal Assessments of Neurocognitive Performance and Brain Structure Associated With Initiation of Tobacco Use in Children, 2016 to 2021
    Dai, Hongying Daisy, Doucet, Gaelle E., Wang, Yingying, Puga, Troy, Samson, Kaeli, Xiao, Peng, Khan, Ali S. · 2022 · JAMA Network Open
27. Distinct Genetic Influences on Cortical and Subcortical Brain Structures
    Wei Xiong Wen, Anbupalam Thalamuthu, Karen A. Mather, Wanlin Zhu, Jiyang Jiang, Pierre Lafaye de Micheaux, Margaret J. Wright, David J. Ames, Perminder Singh Sachdev · 2016 · Scientific Reports
28. EEG‐based age‐prediction models as stable and heritable indicators of brain maturational level in children and adolescents
    Marjolein M. L. J. Z. Vandenbosch, Dennis van ‘t Ent, Dorret Irene Boomsma, Andrey P. Anokhin, Dirk J. A. Smit · 2019 · Human Brain Mapping
29. Sex differences in associations between white matter microstructure and gonadal hormones in children and adolescents with prenatal alcohol exposure
    Kristina A. Uban, Megan M. Herting, Jeffrey R. Wozniak, Elizabeth R. Sowell · 2017 · Psychoneuroendocrinology
30. Constructivist developmental theory is needed in developmental neuroscience
    Marie Arsalidou, Juan Pascual‐Leone · 2016 · npj Science of Learning
31. Anatomical context improves deep learning on the brain age estimation task
    Camilo L Bermudez, Andrew J. Plassard, Shikha Chaganti, Yuankai Huo, Katherine S. Aboud, Laurie E. Cutting, Susan M. Resnick, Bennett A. Landman · 2019 · Magnetic Resonance Imaging
32. Improving Individual Brain Age Prediction Using an Ensemble Deep Learning Framework
    Chen-Yuan Kuo, Tsung‐Ming Tai, Pei‐Lin Lee, Chiu-Wang Tseng, Chieh-Yu Chen, Liang‐Kung Chen, Cheng-Kuang Lee, Kun‐Hsien Chou, Simon Chong Wee See, Ching‐Po Lin · 2021 · Frontiers in Psychiatry
33. Presence or absence of a prefrontal sulcus is linked to reasoning performance during child development
    Ethan H. Willbrand, Willa I. Voorhies, Jewelia K. Yao, Kevin S. Weiner, Silvia A. Bunge · 2022 · Brain Structure and Function
34. Comparing retinotopic maps of children and adults reveals a late-stage change in how V1 samples the visual field
    Marc M. Himmelberg, Ekin Tünçok, Jesse Gomez, Kalanit Grill-spector A, Marisa Carrasco, Jonathan A. Winawer · 2023 · Nature Communications
35. Prenatal Alcohol Exposure is Associated with Regionally Thinner Cortex During the Preadolescent Period
    Frances C. Robertson, Katherine L. Narr, Christopher D. Molteno, Joseph L. Jacobson, Sandra W. Jacobson, Ernesta M. Meintjes · 2015 · Cerebral Cortex
36. Negative fateful life events in midlife and advanced predicted brain aging
    Sean N. Hatton, Carol E. Franz, Jeremy A. Elman, Matthew S. Panizzon, Donald J. Hagler, Christine Fennema‐Notestine, Lisa T. Eyler, Linda K. McEvoy, Michael J. Lyons, Anders Martin Dale et al. · 2018 · Neurobiology of Aging
37. Brain age prediction: Cortical and subcortical shape covariation in the developing human brain
    Yihong Zhao, Arno Klein, F. Xavier Castellanos, Michael Peter Milham · 2019 · NeuroImage
38. The Developmental Brain Age Is Associated With Adversity, Depression, and Functional Outcomes Among Adolescents
    Vladislav Drobinin, Holly Van Gestel, Carl A. Helmick, Matthias Helge Schmidt, Chris V. Bowen, Rudolf Uher · 2021 · Biological Psychiatry Cognitive Neuroscience and Neuroimaging
39. Neuroanatomical Correlates of the Unity and Diversity Model of Executive Function in Young Adults
    Smolker, Harry R., Friedman, Naomi P., Hewitt, John K., Banich, Marie T. · 2018 · Frontiers in Human Neuroscience
40. Morphological differences in the mirror neuron system in Williams syndrome
    Rowena Ng, Timothy T. Brown, Matthew J. Erhart, Anna M. Järvinen, Julie R. Korenberg, Ursula Bellugi, Eric Halgren · 2015 · Social Neuroscience
41. Benchmarking the generalizability of brain age models: Challenges posed by scanner variance and prediction bias
    Robert J. Jirsaraie, Tobias Kaufmann, Vishnu Bashyam, Güray Erus, Joan L. Luby, Lars Tjelta Westlye, Christos A. Davatzikos, Deanna M. Barch, Aristeidis Sotiras · 2022 · Human Brain Mapping
42. Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge
    Weikang Gong, Christian F. Beckmann, Andrea Vedaldi, Stephen M. Smith, Han Peng · 2021 · Frontiers in Psychiatry
43. Long-term supratentorial brain structure and cognitive function following cerebellar tumour resections in childhood
    Torgeir Moberget, Stein Andersson, Tryggve Lundar, Bernt Johan Due‐Tønnessen, Anne Taraldsen Heldal, Tor Endestad, Lars Tjelta Westlye · 2015 · Neuropsychologia
44. White matter microstructure correlates of narrative production in typically developing children and children with high functioning autism
    Brian D. Mills, Janie Lai, Timothy T. Brown, Matthew J. Erhart, Eric Halgren, Judy Snitzer Reilly, Anders Martin Dale, Mark I. Appelbaum, Pamela Moses · 2013 · Neuropsychologia
45. Alterations of functional connectivities from early to middle adulthood: Clues from multivariate pattern analysis of resting-state fMRI data
    Lixia Tian, Lin Ma, Linlin Wang · 2016 · NeuroImage
46. The development of perceptual-cognitive skills in youth volleyball players
    Silke De Waelle, Griet Warlop, Matthieu Lenoir, Simon J. Bennett, Frederik J.A. Deconinck · 2021 · Journal of Sports Sciences
47. Modeling the 3D Geometry of the Cortical Surface With Genetic Ancestry
    Chun-Chieh Fan, H. Bartsch, A. Schork, Chi-Hua Chen, Yun-Peng Wang, Min-Tzu Lo, T. Brown, J. Kuperman, D. Hagler, N. Schork et al. · 2015 · Current Biology
48. Regulating Together: Emotion Dysregulation Group Treatment for ASD Youth and Their Caregivers
    Rebecca C. Shaffer, Lauren Schmitt, Debra L. Reisinger, Marika C. Coffman, Paul S. Horn, Matthew S. Goodwin, Carla A. Mazefsky, Shelley Randall, Craig A. Erickson · 2022 · Journal of Autism and Developmental Disorders
49. Development and validation of a brain maturation index using longitudinal neuroanatomical scans
    Bo Cao, Benson Mwangi, Khader M. Hasan, Sudhakar Selvaraj, Cristian Zeni, Giovana B. Zunta‐Soares, Jair C. Soares · 2015 · NeuroImage
50. Global Visual Motion Sensitivity: Associations with Parietal Area and Children's Mathematical Cognition
    Oliver Braddick, Janette Atkinson, Erik R. Newman, Natacha A. Akshoomoff, Joshua M. Kuperman, Hauke Bartsch, Chi‐Hua Chen, Anders Martin Dale, Terry L. Jernigan · 2016 · Journal of Cognitive Neuroscience
51. Healthy cortical development through adolescence and early adulthood
    Natalie J. Forde, Lisa Ronan, Marcel P. Zwiers, Lizanne Schweren, Aaron F. Alexander‐Bloch, Barbara Franke, Stephen V. Faraone, Jaap Oosterlaan, Dirk J. Heslenfeld, Catharina Annette Hartman et al. · 2017 · Brain Structure and Function
52. Age-related cortical thickness differences in adolescents with early-onset schizophrenia compared with healthy adolescents
    Rune Thormodsen, Lars M. Rimol, Christian Krog Tamnes, Monica Juuhl‐Langseth, Aina Holmén, Kyrre E. Emblem, Bjørn Rishovd Rund, Ingrid Agartz · 2013 · Psychiatry Research Neuroimaging
53. Population‐neuroscience study of the Tokyo TEEN Cohort (pn‐TTC): Cohort longitudinal study to explore the neurobiological substrates of adolescent psychological and behavioral development
    Naohiro Okada, Shuntaro Ando, Motoyuki Sanada, Sachiko Hirata-Mogi, Yudai Iijima, Hiroshi Sugiyama, Toru Shirakawa, Mika Yamagishi, Akiko Kanehara, Masaya Morita et al. · 2018 · Psychiatry and Clinical Neurosciences
54. Individual Differences in Cognitive Performance Are Better Predicted by Global Rather Than Localized BOLD Activity Patterns Across the Cortex
    Weiqi Zhao, Clare E. Palmer, Wesley Kurt Thompson, Bader Chaarani, Hugh Garavan, Betty Jo Casey, Terry L. Jernigan, Anders Martin Dale, Chun Chieh Fan · 2020 · Cerebral Cortex
55. Maturation of Cortico-Subcortical Structural Networks--Segregation and Overlap of Medial Temporal and Fronto-Striatal Systems in Development
    Kristine Beate Walhovd, Christian Krog Tamnes, Atle Bjørnerud, Paulina Due‐Tønnessen, Dominic Holland, Anders Martin Dale, Anders M. Fjell · 2014 · Cerebral Cortex
56. Cortical trajectories during adolescence in preterm born teenagers with very low birthweight
    Lars M. Rimol, Knut Jørgen Bjuland, Gro C. Christensen Løhaugen, Marit Martinussen, Kari Anne I. Evensen, Marit Sæbø Indredavik, Ann‐Mari Brubakk, Live Eikenes, Asta Kristine Haberg, Jon Sverre Skranes · 2015 · Cortex
57. Brain and Cognitive Development
    Joan Stiles, Timothy T. Brown, Frank Haist, Terry L. Jernigan · 2015 · Wiley eBooks
58. Prefrontal Structural Correlates of Cognitive Control during Adolescent Development: A 4-Year Longitudinal Study
    Nandita Vijayakumar, Sarah Whittle, Murat Yücel, Meg Dennison, Julian G. Simmons, Nicholas Brian Allen · 2013 · Journal of Cognitive Neuroscience
59. Sex differences and brain development during puberty and adolescence
    Jiska S. Peper, Sarah Burke, Lara M. Wierenga · 2020 · Handbook of clinical neurology
60. Virtual Ontogeny of Cortical Growth Preceding Mental Illness
    Y. Patel, Jean Shin, C. Abé, I. Agartz, C. Alloza, D. Alnæs, S. Ambrogi, L. Antonucci, C. Arango, V. Arolt et al. · 2022 · Biological Psychiatry
61. Morphometric dis-similarity between cortical and subcortical areas underlies cognitive function and psychiatric symptomatology: a preadolescence study from ABCD
    Xinran Wu, Lena K. Palaniyappan, Gechang Yu, Kai Zhang, Jakob Seidlitz, Zhaowen Liu, Xiangzhen Kong, Günter Schumann, Jianfeng Feng, Barbara Jacquelyn Sahakian et al. · 2022 · Molecular Psychiatry
62. Development of Human Lateral Prefrontal Sulcal Morphology and Its Relation to Reasoning Performance
    Ethan H. Willbrand, Emilio E. Ferrer, Silvia A. Bunge, Kevin S. Weiner · 2023 · Journal of Neuroscience
63. Tracing the development and lifespan change of population-level structural asymmetry in the cerebral cortex
    James M. Roe, D. Vidal-Piñeiro, I. Amlien, Mengyu Pan, M. Sneve, M. Thiebaut de Schotten, Patrick Friedrich, Zhiqiang Sha, C. Francks, E. Eilertsen et al. · 2023 · eLife
64. Large-scale genomics unveil polygenic architecture of human cortical surface area
    Chi‐Hua Chen, Qian Peng, Andrew Joseph Schork, Min‐Tzu Lo, Chun-Chieh Fan, Yunpeng Wang, Rahul S. Desikan, Francesco Bettella, Donald J. Hagler, Pediatric Imaging, Neurocognition and Genetics Study et al. · 2015 · Nature Communications
65. Biological maturity‐associated variance in peak power output and momentum in academy rugby union players
    Sean M. A. Howard, Sean P. Cumming, Mark Atkinson, Robert M. Malina · 2016 · European Journal of Sport Science
66. Modular Development of Cortical Gray Matter Across Childhood and Adolescence
    Mark Krongold, Cassandra Cooper, Signe Bray · 2015 · Cerebral Cortex
67. Structural MRI biomarkers of shared pathogenesis in autism spectrum disorder and epilepsy
    Karen Blackmon · 2015 · Epilepsy & Behavior
68. Twin MRI studies on genetic and environmental determinants of brain morphology and function in the early lifespan
    Eleonora Maggioni, Letizia Squarcina, Nicola Dusi, Vaibhav A. Diwadkar, Paolo Brambilla · 2020 · Neuroscience & Biobehavioral Reviews
69. Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019
    Angela Lombardi, Alfonso Monaco, Giacinto Donvito, Nicola Amoroso, R. Bellotti, Sabina Tangaro · 2021 · Frontiers in Psychiatry
70. Individual differences in human brain development
    Timothy T. Brown · 2016 · Wiley Interdisciplinary Reviews Cognitive Science
71. Multidimensional analysis and detection of informative features in human brain white matter
    Adam Richie-Halford, Jason D. Yeatman, Noah Simon, Ariel Rokem · 2021 · PLoS Computational Biology
72. Dyslexia and language impairment associated genetic markers influence cortical thickness and white matter in typically developing children
    J. Eicher, Angela M. Montgomery, N. Akshoomoff, D. Amaral, C. Bloss, O. Libiger, N. Schork, Burcu F. Darst, B. J. Casey, Linda Chang et al. · 2015 · Brain Imaging and Behavior
73. Cortical morphology of the pars opercularis and its relationship to motor-inhibitory performance in a longitudinal, developing cohort
    Lauren B. Curley, Erik R. Newman, Wesley Kurt Thompson, Timothy T. Brown, Donald J. Hagler, Natacha A. Akshoomoff, Chase Reuter, Anders Martin Dale, Terry L. Jernigan · 2017 · Brain Structure and Function
74. Making the Sentencing Case: Psychological and Neuroscientific Evidence for Expanding the Age of Youthful Offenders
    Betty Jo Casey, Cortney Simmons, Leah H. Somerville, Arielle Ryan Baskin-sommers · 2021 · Annual Review of Criminology
75. White matter and literacy: A dynamic system in flux
    Ethan A. Roy, Adam Richie-Halford, John Kruper, Manjari Narayan, David Bloom, Pierre Nedelec, Andreas M. Rauschecker, Leo P. Sugrue, Timothy T. Brown, Terry L. Jernigan et al. · 2024 · Developmental Cognitive Neuroscience
76. Toward an integrative science of the developing human mind and brain: Focus on the developing cortex
    Terry L. Jernigan, Timothy T. Brown, Hauke Bartsch, Anders Martin Dale · 2015 · Developmental Cognitive Neuroscience
77. Individual differences in children’s global motion sensitivity correlate with TBSS-based measures of the superior longitudinal fasciculus
    Oliver Braddick, Janette Atkinson, Natacha A. Akshoomoff, Erik R. Newman, Lauren B. Curley, Marybel R. Gonzalez, Timothy T. Brown, Anders Martin Dale, Terry L. Jernigan · 2016 · Vision Research
78. Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescence
    Gareth Ball, Richard J Beare, Marc L. Seal · 2019 · Human Brain Mapping
79. Brain age prediction across the human lifespan using multimodal MRI data
    Sihai Guan, Runzhou Jiang, Chun Meng, Bharat B. Biswal · 2023 · GeroScience
80. PhenX RISING: real world implementation and sharing of PhenX measures
    for the PhenX RISING network, Catherine Anne McCarty, Wayne Huggins, Allison E. Aiello, Robert M. Bilder, Ahmad Hariri, Terry L. Jernigan, Erik R. Newman, Dharambir K. Sanghera, Timothy J. Strauman et al. · 2014 · BMC Medical Genomics
81. In vivo biomarkers of structural and functional brain development and aging in humans
    Katja Franke, Peter Bublak, Dirk Hoyer, Thibo Billiet, Christian Gaser, Otto Wilhelm Witte, Matthias Georg Schwab · 2020 · Neuroscience & Biobehavioral Reviews
82. Genetic associations between intelligence and cortical thickness emerge at the start of puberty
    Rachel M. Brouwer, Inge L. C. van Soelen, Suzanne C. Swagerman, Hugo Gerard Schnack, Erik A. Ehli, René S. Kahn, Hilleke E. Hulshoff Pol, Dorret Irene Boomsma · 2013 · Human Brain Mapping
83. Cortical and subcortical T1 white/gray contrast, chronological age, and cognitive performance
    John D. Lewis, Vladimir Fonov, D. Louis Collins, Alan Charles Evans, Jussi Tohka, for the Brain Development Cooperative Group, and the Pediatric Imaging, Neurocognition, and Genetics Study · 2019 · NeuroImage
84. Effect of parental depressive symptoms on offspring’s brain structure and function: A systematic review of neuroimaging studies
    Giulia Cattarinussi, Mohammad Hadi Aarabi, Hossein Sanjari Moghaddam, Maryam Homayoun, Mahnaz Ashrafi, Hamid Soltanian-zadeh A, Fabio Sambataro · 2021 · Neuroscience & Biobehavioral Reviews
85. Modelling neuroanatomical variation during childhood and adolescence with neighbourhood-preserving embedding
    Gareth Ball, Chris L. Adamson, Richard J Beare, Marc L. Seal · 2017 · Scientific Reports
86. Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features
    Dan Hu, Zhengwang Wu, Weili Lin, Gang Li, Dinggang G. Shen · 2019 · IEEE Journal of Biomedical and Health Informatics
87. Construction of the human forebrain
    Terry L. Jernigan, Joan Stiles · 2016 · Wiley Interdisciplinary Reviews Cognitive Science
88. Post-Acute Cortical Thickness in Children with Mild Traumatic Brain Injury versus Orthopedic Injury
    Ashley L. Ware, Naomi J. Goodrich‐Hunsaker, Catherine A. Lebel, Ayushi Shukla, Elisabeth A. Wilde, Tracy J. Abildskov, Erin D. Bigler, Daniel M. Cohen, Leslie K. Mihalov, Ann Mary Bacevice et al. · 2020 · Journal of Neurotrauma
89. Go/No Go task performance predicts cortical thickness in the caudal inferior frontal gyrus in young adults with and without ADHD
    Erik R. Newman, Terry L. Jernigan, Krista M. Lisdahl, Leanne Tamm, Susan Frances Tapert, Steven G. Potkin, Daniel H. Mathalon, Brooke S. G. Molina, James Matthew Bjork, F. Xavier Castellanos et al. · 2015 · Brain Imaging and Behavior
90. Multivariate statistical analysis of diffusion imaging parameters using partial least squares: Application to white matter variations in Alzheimer's disease
    Ender Konukoğlu, Jean‐Philippe Coutu, David H. Salat, Bruce R. Fischl · 2016 · NeuroImage
91. Age at First Exposure to Tackle Football is Associated with Cortical Thickness in Former Professional American Football Players
    David Kaufmann, Nico Sollmann, Elisabeth Kaufmann, Rosanna Veggeberg, Yorghos Tripodis, Pawel P Wrobel, Janna Kochsiek, Brett M. Martin, Alexander Peter Lin, Michael J. Coleman et al. · 2021 · Cerebral Cortex
92. Specific Language Impairment
    Julia L. Evans, Timothy T. Brown · 2015 · Elsevier eBooks
93. Distinct effects of childhood ADHD and cannabis use on brain functional architecture in young adults
    Clare A. M. Kelly, F. Xavier Castellanos, Olivia Tomaselli, Krista M. Lisdahl, Leanne Tamm, Terry L. Jernigan, Erik R. Newman, Jeffery N. Epstein, Brooke S. G. Molina, Laurence Lee Greenhill et al. · 2016 · NeuroImage Clinical
94. Mapping the Critical Gestational Age at Birth that Alters Brain Development in Preterm-born Infants using Multi-Modal MRI
    Dan Wu, Linda Chang, K. Akazawa, Kumiko Oishi, J. Skranes, T. Ernst, Kenichi Oishi · 2017 · NeuroImage
95. The Relationship Between Socioeconomic Status and Brain Volume in Children and Adolescents With Prenatal Alcohol Exposure
    Kristina A. Uban, Eric Kan, Jeffrey R. Wozniak, Sarah N. Mattson, Claire D. Coles, Elizabeth R. Sowell · 2020 · Frontiers in Human Neuroscience
96. Extensive Evaluation of Morphological Statistical Harmonization for Brain Age Prediction
    Angela Lombardi, Nicola Amoroso, Domenico Diacono, Alfonso Monaco, Sabina Tangaro, R. Bellotti · 2020 · Brain Sciences
97. Multimodal Magnetic Resonance Imaging Reveals Aberrant Brain Age Trajectory During Youth in Schizophrenia Patients
    Jiayuan Huang, Pengfei Ke, Xiaoyi Chen, Shijia Li, Jing Zhou, Dongsheng Xiong, Yuanyuan Huang, Hehua Li, Yuping Ning, Xujun Duan et al. · 2022 · Frontiers in Aging Neuroscience
98. Development of the P300 from childhood to adulthood: a multimodal EEG and MRI study
    Knut Øverbye, Rene Jürgen Huster, Kristine Beate Walhovd, Anders M. Fjell, Christian Krog Tamnes · 2018 · Brain Structure and Function
99. Multimodal Sparse Classifier for Adolescent Brain Age Prediction
    Peyman Hosseinzadeh Kassani, Alexej Gossmann, Yu-Ping Wang · 2019 · IEEE journal of biomedical and health informatics
100. Maturational trajectories of white matter microstructure underlying the right presupplementary motor area reflect individual improvements in motor response cancellation in children and adolescents
     Kathrine Skak Madsen, Louise Baruël Johansen, Wesley Kurt Thompson, Hartwig Roman Siebner, Terry L. Jernigan, William F.C. Baaré · 2020 · NeuroImage