|The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism|
A Di Martino, CG Yan, Q Li, E Denio, FX Castellanos, K Alaerts, ...
Molecular psychiatry 19 (6), 659-667, 2014
|A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics|
CG Yan, B Cheung, C Kelly, S Colcombe, RC Craddock, A Di Martino, ...
Neuroimage 76, 183-201, 2013
|Emotional perception: Meta-analyses of face and natural scene processing|
D Sabatinelli, EE Fortune, Q Li, A Siddiqui, C Krafft, WT Oliver, S Beck, ...
Neuroimage 54 (3), 2524-2533, 2011
|The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry|
KB Nooner, S Colcombe, R Tobe, M Mennes, M Benedict, A Moreno, ...
Frontiers in Neuroscience 6, 152, 2012
|Striatum-based circuitry of adolescent depression and anhedonia|
V Gabbay, BA Ely, Q Li, SD Bangaru, AM Panzer, CM Alonso, ...
Journal of the American Academy of Child & Adolescent Psychiatry 52 (6), 628 …, 2013
|Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (c-pac)|
C Craddock, S Sikka, B Cheung, R Khanuja, SS Ghosh, C Yan, Q Li, ...
Front Neuroinform 42, 2013
|The neuro bureau preprocessing initiative: open sharing of preprocessed neuroimaging data and derivatives|
C Craddock, Y Benhajali, C Chu, F Chouinard, A Evans, A Jakab, ...
Neuroinformatics 41, 2013
|The Preprocessed Connectomes Project Quality Assessment Protocol—a resource for measuring the quality of MRI data|
Z Shehzad, S Giavasis, Q Li, Y Benhajali, C Yan, Z Yang, M Milham, ...
Frontiers in neuroscience 47, 2015
|Towards Automated Analysis of Connectomes: The Configurable Pipeline for the Analysis of Connectomes (C-PAC)|
MPM S Sikka, B Cheung, R Khanuja, S Ghosh, CG Yan, Q
|What grabs his attention but not hers? Estrogen correlates with neurophysiological measures of vocal change detection|
A Schirmer, N Escoffier, QY Li, H Li, J Strafford-Wilson, WI Li
Psychoneuroendocrinology 33 (6), 718-727, 2008
|Neural correlates of behavioral variation in healthy adults' antisaccade performance|
DJ Schaeffer, MT Amlung, Q Li, CE Krafft, BP Austin, KA Dyckman, ...
Psychophysiology 50 (4), 325-333, 2013
|Practice‐related changes in neural activation patterns investigated via wavelet‐based clustering analysis|
J Lee, C Park, KA Dyckman, NA Lazar, BP Austin, Q Li, JE McDowell
Human brain mapping 34 (9), 2276-2291, 2013
|Individual differences in working memory moderate the relationship between prosaccade latency and antisaccade error rate|
DJ Schaeffer, L Chi, CE Krafft, Q Li, NF Schwarz, JE McDowell
Psychophysiology 52 (4), 605-608, 2015
|Evidence from cluster analysis for differentiation of antisaccade performance groups based on speed/accuracy trade-offs|
Q Li, MT Amlung, M Valtcheva, J Camchong, BP Austin, KA Dyckman, ...
International Journal of Psychophysiology 85 (2), 274-277, 2012
|The location and function of parietal cortex supporting of reflexive and volitional saccades, a meta-analysis of over a decade of functional MRI data|
C Krafft, N Schwarz, L Chi, Q Li, D Schaeffer, AL Rodrigue, JE Pierce, ...
Horizons in Neuroscience Research. Nova Science Publishers: Hauppauge, NY, 2012
|The Motion Crisis in Functional Connectomics: Damage Assessment and Control for Resting-State fMRI|
C Yan, B Cheung, C Kelly, S Colcombe, RC Craddock, A Di Martino, Q Li, ...
Third Biennial Conference on Resting State Brain Connectivity, Magdeburg …, 2012
|Regional Differences in the Impact of Head Motion on R-fMRI Measures: A Voxelwise Analysis|
C Yan, B Cheung, Q Li, S Colcombe, RC Craddock, C Kelly, A Di Martino, ...
OHBM poster 583, 2012
|PRN: a preprint service for catalyzing R-fMRI and neuroscience related studies|
C Yan, Q Li, L Gao
F1000Research 3, 2014
|BRAINSTORM Towards Clinically and Scientifically Useful NeuroImaging Analytics|
J Vogelstein, S Sikka, B Cheung, R Khanuja, Q Li, Y Chao-Gan, C Priebe, ...
Front. Neuroinform. Conference Abstract: 5th INCF Congress of …, 2014
|INDIVIDUAL DIFFERENCES IN WORKING MEMORY MODERATE THE RELATIONSHIP BETWEEN ANTISACCADE ERROR RATE AND PROSACCADE LATENCY|
L Chi, CE Krafft, Q Li, NF Schwarz, DJ Schaeffer, JE McDowell
PSYCHOPHYSIOLOGY 50, S24-S24, 2013