An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data
Sex differences in the structural connectome of the human brain
M. Ingalhalikar, Alex R. Smith, D. Parker, et al.. (2013). Proceedings of the National Academy of Sciences. Cited 1,167 times. https://doi.org/10.1073/pnas.1316909110
Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth
Emergence of system roles in normative neurodevelopment
Shi Gu, T. Satterthwaite, J. Medaglia, et al.. (2015). Proceedings of the National Academy of Sciences. Cited 311 times. https://doi.org/10.1073/pnas.1502829112
Psychometric properties of the Penn Computerized Neurocognitive Battery.
The Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative.
M. Calkins, K. Merikangas, T. Moore, et al.. (2015). Journal of child psychology and psychiatry, and allied disciplines. Cited 242 times. https://doi.org/10.1111/jcpp.12416
Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth
Strong synaptic transmission impact by copy number variations in schizophrenia
J. Glessner, M. Reilly, Cecilia Kim, et al.. (2010). Proceedings of the National Academy of Sciences. Cited 235 times. https://doi.org/10.1073/pnas.1000274107
Neurocognitive growth charting in psychosis spectrum youths.
Impact of puberty on the evolution of cerebral perfusion during adolescence
T. Satterthwaite, R. Shinohara, D. Wolf, et al.. (2014). Proceedings of the National Academy of Sciences. Cited 226 times. https://doi.org/10.1073/pnas.1400178111
Imaging patterns of brain development and their relationship to cognition.
Establishing a link between sex-related differences in the structural connectome and behaviour
B. Tunç, Berkan Solmaz, D. Parker, et al.. (2016). Philosophical Transactions of the Royal Society B: Biological Sciences. Cited 149 times. https://doi.org/10.1098/rstb.2015.0111
Being right is its own reward: Load and performance related ventral striatum activation to correct responses during a working memory task in youth
Sex differences in the effect of puberty on hippocampal morphology.
T. Satterthwaite, Simon N. Vandekar, D. Wolf, et al.. (2014). Journal of the American Academy of Child and Adolescent Psychiatry. Cited 95 times. https://doi.org/10.1016/j.jaac.2013.12.002
Unsupervised Learning of Functional Network Dynamics in Resting State fMRI
H. Eavani, T. Satterthwaite, R. Gur, et al.. (2013). Information processing in medical imaging : proceedings of the ... conference. Cited 94 times. https://doi.org/10.1007/978-3-642-38868-2_36
Incidental Findings in Youths Volunteering for Brain MRI Research
R. Gur, D. Kaltman, Elias R. Melhem, et al.. (2013). American Journal of Neuroradiology. Cited 81 times. https://doi.org/10.3174/ajnr.A3525
Characterizing social environment's association with neurocognition using census and crime data linked to the Philadelphia Neurodevelopmental Cohort
Sparse Dictionary Learning of Resting State fMRI Networks
H. Eavani, Roman Filipovych, C. Davatzikos, et al.. (2012). 2012 Second International Workshop on Pattern Recognition in NeuroImaging. Cited 38 times. https://doi.org/10.1109/PRNI.2012.25
Reply to Joel and Tarrasch: On misreading and shooting the messenger
M. Ingalhalikar, Alex R. Smith, D. Parker, et al.. (2014). Proceedings of the National Academy of Sciences. Cited 10 times. https://doi.org/10.1073/pnas.1323601111
Identifying patterns in temporal variation of functional connectivity using resting state FMRI
H. Eavani, T. Satterthwaite, R. Gur, et al.. (2013). 2013 IEEE 10th International Symposium on Biomedical Imaging. Cited 8 times. https://doi.org/10.1109/ISBI.2013.6556667
Challenges and Opportunities for Genomic Developmental Neuropsychology: Examples from the Penn-Drexel Collaborative Battery
Multivariate fMRI Analysis Using Optimally-discriminative Voxel-based Analysis
Tianhao Zhang, T. Satterthwaite, M. Elliott, et al.. (2012). 2012 Second International Workshop on Pattern Recognition in NeuroImaging. Cited 4 times. https://doi.org/10.1109/PRNI.2012.18
ODVBA-C: Optimally-Discriminative Voxel-Based Analysis of Continuous Variables
Tianhao Zhang, T. Satterthwaite, C. Davatzikos. (2013). 2013 International Workshop on Pattern Recognition in Neuroimaging. https://doi.org/10.1109/PRNI.2013.49