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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
6662018
Highly comparative feature-based time-series classification
BD Fulcher, NS Jones
IEEE Transactions on Knowledge and Data Engineering 26 (12), 3026-3037, 2014
4302014
A practical guide to linking brain-wide gene expression and neuroimaging data
A Arnatkevic̆iūtė, BD Fulcher, A Fornito
Neuroimage 189, 353-367, 2019
4212019
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
3722013
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
2582019
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
2522017
Bridging the gap between connectome and transcriptome
A Fornito, A Arnatkevičiūtė, BD Fulcher
Trends in cognitive sciences 23 (1), 34-50, 2019
2492019
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
2482019
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
2092016
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
1712019
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
1542015
Feature-based time-series analysis
BD Fulcher
Feature engineering for machine learning and data analytics, 87-116, 2018
1502018
Standardizing workflows in imaging transcriptomics with the abagen toolbox
RD Markello, A Arnatkeviciute, JB Poline, BD Fulcher, A Fornito, B Misic
elife 10, e72129, 2021
1372021
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
1212018
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
1182020
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
1122018
Topographic gradients of intrinsic dynamics across neocortex
G Shafiei, RD Markello, R Vos de Wael, BC Bernhardt, BD Fulcher, ...
elife 9, e62116, 2020
1022020
Genetic influences on hub connectivity of the human connectome
A Arnatkeviciute, BD Fulcher, S Oldham, J Tiego, C Paquola, Z Gerring, ...
Nature communications 12 (1), 4237, 2021
1012021
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
992020
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
972018
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Articles 1–20