J
Jeremy F. Huckins
Researcher at Dartmouth College
Publications - 32
Citations - 2902
Jeremy F. Huckins is an academic researcher from Dartmouth College. The author has contributed to research in topics: Mental health & Population. The author has an hindex of 14, co-authored 29 publications receiving 2058 citations. Previous affiliations of Jeremy F. Huckins include University of Massachusetts Medical School & Brigham and Women's Hospital.
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Journal ArticleDOI
Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations
Evan M. Gordon,Timothy O. Laumann,Babatunde Adeyemo,Jeremy F. Huckins,William M. Kelley,Steven E. Petersen +5 more
TL;DR: The boundary map- derived parcellation contained parcels that overlapped with architectonic mapping of areas 17, 2, 3, and 4, and their connectivity patterns were reliable across individual subjects, suggesting that RSFC-boundary map-derived parcels provide information about the location and extent of human cortical areas.
Journal ArticleDOI
Mental Health and Behavior of College Students During the Early Phases of the COVID-19 Pandemic: Longitudinal Smartphone and Ecological Momentary Assessment Study.
Jeremy F. Huckins,Alex W. daSilva,Weichen Wang,Elin Hedlund,Courtney Rogers,Subigya Nepal,Jialing Wu,Mikio Obuchi,Eilis I Murphy,Meghan L. Meyer,Dylan D. Wagner,Paul E. Holtzheimer,Andrew T. Campbell +12 more
TL;DR: Compared with prior academic terms, individuals in the Winter 2020 term were more sedentary, anxious, and depressed, and a wide variety of behaviors, including increased phone usage, decreased physical activity, and fewer locations visited, were associated with fluctuations in COVID-19 news reporting.
Journal ArticleDOI
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).
Journal ArticleDOI
Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing
Rui Wang,Weichen Wang,Alex W. daSilva,Jeremy F. Huckins,William M. Kelley,Todd F. Heatherton,Andrew T. Campbell +6 more
TL;DR: A new approach to predicting depression using passive sensing data from students' smartphones and wearables is proposed and it is shown that symptom features derived from phone and wearable sensors can predict whether or not a student is depressed on a week by week basis.
Journal ArticleDOI
A bioinformatics method identifies prominent off-targeted transcripts in RNAi screens
Frederic Sigoillot,Susan Lyman,Susan Lyman,Jeremy F. Huckins,Jeremy F. Huckins,Brittany Susan Adamson,Eunah Chung,Brian Quattrochi,Brian Quattrochi,Randall W. King +9 more
TL;DR: GESS analysis revealed a prominent off-targeted transcript in several screens, including MAD2 (MAD2L1) in a screen for genes required for the spindle assembly checkpoint, and can enhance the validation rate in RNAi screens.