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Yuelu Liu
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Title
Cited by
Cited by
Year
Neural substrate of the late positive potential in emotional processing
Y Liu, H Huang, M McGinnis-Deweese, A Keil, M Ding
Journal of Neuroscience 32 (42), 14563-14572, 2012
4702012
Top-down modulation of neural activity in anticipatory visual attention: control mechanisms revealed by simultaneous EEG-fMRI
Y Liu, J Bengson, H Huang, GR Mangun, M Ding
Cerebral Cortex 26 (2), 517-529, 2016
1722016
Coupling between visual alpha oscillations and default mode activity
J Mo, Y Liu, H Huang, M Ding
Neuroimage 68, 112-118, 2013
1552013
Amplitude of sensorimotor mu rhythm is correlated with BOLD from multiple brain regions: a simultaneous EEG-fMRI study
S Yin, Y Liu, M Ding
Frontiers in Human Neuroscience 10, 364, 2016
802016
Theta oscillations index frontal decision-making and mediate reciprocal frontal–parietal interactions in willed attention
A Rajan, SN Siegel, Y Liu, J Bengson, GR Mangun, M Ding
Cerebral cortex 29 (7), 2832-2843, 2019
652019
Machine learning models identify multimodal measurements highly predictive of transdiagnostic symptom severity for mood, anhedonia, and anxiety
MS Mellem, Y Liu, H Gonzalez, M Kollada, WJ Martin, P Ahammad
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 5 (1), 56-67, 2020
332020
Effects of emotional conditioning on early visual processing: Temporal dynamics revealed by ERP single‐trial analysis
Y Liu, A Keil, M Ding
Human brain mapping 33 (4), 909-919, 2012
292012
Machine learning identifies large-scale reward-related activity modulated by dopaminergic enhancement in major depression
Y Liu, R Admon, MS Mellem, EL Belleau, RH Kaiser, R Clegg, M Beltzer, ...
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 5 (2), 163-172, 2020
282020
Amygdala adaptation and temporal dynamics of the salience network in conditioned fear: a single-trial fMRI study
S Yin, Y Liu, NM Petro, A Keil, M Ding
Eneuro 5 (1), 2018
282018
Decoding neural representations of affective scenes in retinotopic visual cortex
K Bo, S Yin, Y Liu, Z Hu, S Meyyappan, S Kim, A Keil, M Ding
Cerebral cortex 31 (6), 3047-3063, 2021
252021
Age-related differences in the modulation of small-world brain networks during a Go/NoGo task
X Hong, Y Liu, J Sun, S Tong
Frontiers in aging neuroscience 8, 100, 2016
242016
Deciding where to attend: Large-scale network mechanisms underlying attention and intention revealed by graph-theoretic analysis
Y Liu, X Hong, JJ Bengson, TA Kelley, M Ding, GR Mangun
Neuroimage 157, 45-60, 2017
202017
Fear conditioning prompts sparser representations of conditioned threat in primary visual cortex
S Yin, K Bo, Y Liu, N Thigpen, A Keil, M Ding
Social cognitive and affective neuroscience 15 (9), 950-964, 2020
192020
The microstructure of attentional control in the dorsal attention network
A Rajan, S Meyyappan, Y Liu, IBH Samuel, B Nandi, GR Mangun, M Ding
Journal of cognitive neuroscience 33 (6), 965-983, 2021
172021
Large‐scale functional brain connectivity during emotional engagement as revealed by beta‐series correlation analysis
D Kang, Y Liu, V Miskovic, A Keil, M Ding
Psychophysiology 53 (11), 1627-1638, 2016
142016
Gating by inhibition during top-down control of willed attention
JJ Bengson, Y Liu, N Khodayari, GR Mangun
The Cognitive Neuroscience of Attention, 214-224, 2020
92020
Image restoration using Gaussian particle filters
Y Liu, T Shen, X Wang
2007 International Conference on Computational Intelligence and Security …, 2007
82007
Machine learning-based diagnostic classifier
MS Mellem, LIU Yuelu, P Ahammad, HAG CABEZAS, WJ Martin, ...
US Patent 11,139,083, 2021
62021
Highly predictive transdiagnostic features shared across schizophrenia, bipolar disorder, and adhd identified using a machine learning based approach
Y Liu, MS Mellem, H Gonzalez, M Kollada, AR Mahableshwarkar, ...
bioRxiv, 453951, 2018
42018
Systems and methods for processing mri data
M Kollada, HAG CABEZAS, LIU Yuelu, MS Mellem, P Ahammad, Q Gao
US Patent App. 17/594,234, 2022
32022
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