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Stephen M. LaConte
Researcher at Virginia Tech
Publications - 91
Citations - 5615
Stephen M. LaConte is an academic researcher from Virginia Tech. The author has contributed to research in topics: Resting state fMRI & Functional magnetic resonance imaging. The author has an hindex of 32, co-authored 86 publications receiving 5000 citations. Previous affiliations of Stephen M. LaConte include Emory University & The Wallace H. Coulter Department of Biomedical Engineering.
Papers
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Journal ArticleDOI
Neuroimaging after mild traumatic brain injury: Review and meta-analysis
Cyrus Eierud,R. Cameron Craddock,Sean Fletcher,Manek Aulakh,Brooks King-Casas,Damon R. Kuehl,Stephen M. LaConte +6 more
TL;DR: A frontal vulnerability to mTBI is demonstrated by decreased signal in prefrontal cortex compared to controls, and a set of meta-analyses demonstrate several important points about the ongoing use of neuroimaging to understand the functional and structural changes that occur throughout the time course of mT BI recovery.
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Support vector machines for temporal classification of block design fMRI data
TL;DR: This paper compares SVM to canonical variates analysis (CVA) by examining the relative sensitivity of each method to ten combinations of preprocessing choices consisting of spatial smoothing, temporal detrending, and motion correction, and proposes four methods for extracting activation maps from SVM models.
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An open science resource for establishing reliability and reproducibility in functional connectomics
Xi-Nian Zuo,Jeffrey S. Anderson,Pierre Bellec,Rasmus M. Birn,Bharat B. Biswal,Janusch Blautzik,John C.S. Breitner,Randy L. Buckner,Vince D. Calhoun,F. Xavier Castellanos,F. Xavier Castellanos,Antao Chen,Bing Chen,Jiangtao Chen,Xu Chen,Stanley J. Colcombe,William Courtney,R. Cameron Craddock,Adriana Di Martino,Hao Ming Dong,Xiaolan Fu,Qiyong Gong,Krzysztof J. Gorgolewski,Ying Han,Ye He,Yong He,Erica J. Ho,Avram J. Holmes,Xiao Hui Hou,Jeremy F. Huckins,Tianzi Jiang,Yi Jiang,William M. Kelley,Clare Kelly,Margaret D. King,Stephen M. LaConte,Janet E. Lainhart,Xu Lei,Huijie Li,Kaiming Li,Kuncheng Li,Qixiang Lin,Dong-Qiang Liu,Jia Liu,Xun Liu,Yijun Liu,Guangming Lu,Jie Lu,Beatriz Luna,Jing Luo,Daniel J. Lurie,Ying Mao,Daniel S. Margulies,Andrew R. Mayer,Thomas Meindl,Mary E. Meyerand,Weizhi Nan,Jared A. Nielsen,David H. O’Connor,David J. Paulsen,Vivek Prabhakaran,Zhigang Qi,Jiang Qiu,Chunhong Shao,Zarrar Shehzad,Weijun Tang,Arno Villringer,Huiling Wang,Kai Wang,Dongtao Wei,Gao-Xia Wei,Xu Chu Weng,Xuehai Wu,Ting Xu,Ning Yang,Zhi Yang,Yu-Feng Zang,Lei Zhang,Qinglin Zhang,Zhe Zhang,Zhiqiang Zhang,Ke Zhao,Zonglei Zhen,Yuan Zhou,Xing Ting Zhu,Michael P. Milham +85 more
TL;DR: The Consortium for Reliability and Reproducibility (CoRR) has aggregated 1,629 typical individuals’ resting state fMRI data from 18 international sites, and is openly sharing them via the International Data-sharing Neuroimaging Initiative (INDI).
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Real-time fMRI neurofeedback: Progress and challenges
James Sulzer,Sven Haller,Frank Scharnowski,Frank Scharnowski,Nikolaus Weiskopf,Niels Birbaumer,Maria Laura Blefari,A. B. Bruehl,Leonardo G. Cohen,R. C. deCharms,Roger Gassert,Rainer Goebel,Uwe Herwig,Uwe Herwig,Stephen M. LaConte,David Edmund Johannes Linden,Andreas R. Luft,Erich Seifritz,Ranganatha Sitaram,Ranganatha Sitaram,Ranganatha Sitaram +20 more
TL;DR: This review summarizes progress in the field, introduces current debates, elucidates open questions, and offers viewpoints derived from the conference on real time functional magnetic resonance imaging neurofeedback.
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Medical Image Processing on the GPU : Past, Present and Future
TL;DR: This review presents the past and present work on GPU accelerated medical image processing, and is meant to serve as an overview and introduction to existing GPU implementations.