Stephanie Noble
Stephanie Noble
Assistant Professor, Northeastern University
Verified email at - Homepage
Cited by
Cited by
A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis
S Noble, D Scheinost, RT Constable
Neuroimage 203, 116157, 2019
Influences on the test–retest reliability of functional connectivity MRI and its relationship with behavioral utility
S Noble, MN Spann, F Tokoglu, X Shen, RT Constable, D Scheinost
Cerebral cortex 27 (11), 5415-5429, 2017
Ten simple rules for predictive modeling of individual differences in neuroimaging
D Scheinost, S Noble, C Horien, AS Greene, EMR Lake, M Salehi, S Gao, ...
NeuroImage 193, 35-45, 2019
Multisite reliability of MR-based functional connectivity
S Noble, D Scheinost, ES Finn, X Shen, X Papademetris, SC McEwen, ...
Neuroimage 146, 959-970, 2017
A guide to the measurement and interpretation of fMRI test-retest reliability
S Noble, D Scheinost, RT Constable
Current opinion in behavioral sciences 40, 27-32, 2021
Presurgical language fMRI: Mapping of six critical regions
CF Benjamin, PD Walshaw, K Hale, WD Gaillard, LC Baxter, MM Berl, ...
Human brain mapping 38 (8), 4239-4255, 2017
The functional brain organization of an individual allows prediction of measures of social abilities transdiagnostically in autism and attention-deficit/hyperactivity disorder
EMR Lake, ES Finn, SM Noble, T Vanderwal, X Shen, MD Rosenberg, ...
Biological psychiatry 86 (4), 315-326, 2019
Brain–phenotype models fail for individuals who defy sample stereotypes
AS Greene, X Shen, S Noble, C Horien, CA Hahn, J Arora, F Tokoglu, ...
Nature 609 (7925), 109-118, 2022
Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors
K Yoo, MD Rosenberg, S Noble, D Scheinost, RT Constable, MM Chun
NeuroImage 197, 212-223, 2019
A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis. NeuroImage, 203, Article 116157
S Noble, D Scheinost, RT Constable
How tasks change whole-brain functional organization to reveal brain-phenotype relationships
AS Greene, S Gao, S Noble, D Scheinost, RT Constable
Cell reports 32 (8), 2020
Cluster failure or power failure? Evaluating sensitivity in cluster-level inference
S Noble, D Scheinost, RT Constable
Neuroimage 209, 116468, 2020
A hitchhiker’s guide to working with large, open-source neuroimaging datasets
C Horien, S Noble, AS Greene, K Lee, DS Barron, S Gao, D O’Connor, ...
Nature human behaviour 5 (2), 185-193, 2021
Considering factors affecting the connectome-based identification process: Comment on Waller et al.
C Horien, S Noble, ES Finn, X Shen, D Scheinost, RT Constable
NeuroImage 169, 172-175, 2018
Associations between grip strength, brain structure, and mental health in> 40,000 participants from the UK Biobank
R Jiang, ML Westwater, S Noble, M Rosenblatt, W Dai, S Qi, J Sui, ...
BMC medicine 20 (1), 286, 2022
Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference
S Noble, AF Mejia, A Zalesky, D Scheinost
Proceedings of the National Academy of Sciences 119 (32), e2203020119, 2022
Transdiagnostic, connectome-based prediction of memory constructs across psychiatric disorders
DS Barron, S Gao, J Dadashkarimi, AS Greene, MN Spann, S Noble, ...
Cerebral Cortex 31 (5), 2523-2533, 2021
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics
EW Bridgeford, S Wang, Z Wang, T Xu, C Craddock, J Dey, G Kiar, ...
PLoS computational biology 17 (9), e1009279, 2021
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ...
Neuron 109 (11), 1769-1775, 2021
Functional brain networks reflect spatial and temporal autocorrelation
M Shinn, A Hu, L Turner, S Noble, KH Preller, JL Ji, F Moujaes, S Achard, ...
Nature neuroscience 26 (5), 867-878, 2023
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