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Ben D. Fulcher
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An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI
L Parkes, B Fulcher, M Yücel, A Fornito
Neuroimage 171, 415-436, 2018
5322018
Highly comparative feature-based time-series classification
BD Fulcher, NS Jones
IEEE Transactions on Knowledge and Data Engineering 26 (12), 3026-3037, 2014
3732014
A practical guide to linking brain-wide gene expression and neuroimaging data
A Arnatkevic̆iūtė, BD Fulcher, A Fornito
Neuroimage 189, 353-367, 2019
2862019
Highly comparative time-series analysis: the empirical structure of time series and their methods
BD Fulcher, MA Little, NS Jones
Journal of the Royal Society Interface 10 (83), 20130048, 2013
2782013
Consistency and differences between centrality measures across distinct classes of networks
S Oldham, B Fulcher, L Parkes, A Arnatkevic̆iūtė, C Suo, A Fornito
PloS one 14 (7), e0220061, 2019
1842019
Bridging the gap between connectome and transcriptome
A Fornito, A Arnatkevičiūtė, BD Fulcher
Trends in cognitive sciences 23 (1), 34-50, 2019
1842019
A transcriptional signature of hub connectivity in the mouse connectome
BD Fulcher, A Fornito
Proceedings of the National Academy of Sciences 113 (5), 1435-1440, 2016
1792016
hctsa: A computational framework for automated time-series phenotyping using massive feature extraction
BD Fulcher, NS Jones
Cell systems 5 (5), 527-531. e3, 2017
1782017
Multimodal gradients across mouse cortex
BD Fulcher, JD Murray, V Zerbi, XJ Wang
Proceedings of the National Academy of Sciences 116 (10), 4689-4695, 2019
1442019
Developmental changes in brain network hub connectivity in late adolescence
STE Baker, DI Lubman, M Yücel, NB Allen, S Whittle, BD Fulcher, ...
Journal of Neuroscience 35 (24), 9078-9087, 2015
1332015
catch22: CAnonical Time-series CHaracteristics: Selected through highly comparative time-series analysis
CH Lubba, SS Sethi, P Knaute, SR Schultz, BD Fulcher, NS Jones
Data Mining and Knowledge Discovery 33 (6), 1821-1852, 2019
1322019
Feature-based time-series analysis
BD Fulcher
Feature engineering for machine learning and data analytics, 87-116, 2018
1092018
Predicting depression from language-based emotion dynamics: longitudinal analysis of Facebook and Twitter status updates
EM Seabrook, ML Kern, BD Fulcher, NS Rickard
Journal of medical Internet research 20 (5), e168, 2018
952018
Sleep patterns predictive of daytime challenging behavior in individuals with low‐functioning autism
S Cohen, BD Fulcher, SMW Rajaratnam, R Conduit, JP Sullivan, ...
Autism Research 11 (2), 391-403, 2018
872018
Responders to rTMS for depression show increased fronto-midline theta and theta connectivity compared to non-responders
NW Bailey, KE Hoy, NC Rogasch, RH Thomson, S McQueen, D Elliot, ...
Brain stimulation 11 (1), 190-203, 2018
772018
Hardness analysis of cubic metal mononitrides from first principles
BD Fulcher, XY Cui, B Delley, C Stampfl
Physical Review B 85 (18), 184106, 2012
762012
Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem
KM Aquino, BD Fulcher, L Parkes, K Sabaroedin, A Fornito
Neuroimage 212, 116614, 2020
742020
Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set
SS Sethi, NS Jones, BD Fulcher, L Picinali, DJ Clink, H Klinck, CDL Orme, ...
Proceedings of the National Academy of Sciences 117 (29), 17049-17055, 2020
722020
Topographic gradients of intrinsic dynamics across neocortex
G Shafiei, RD Markello, R Vos de Wael, BC Bernhardt, BD Fulcher, ...
elife 9, e62116, 2020
642020
Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data
BD Fulcher, A Arnatkeviciute, A Fornito
Nature communications 12 (1), 2669, 2021
57*2021
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Articles 1–20