Zobrazeno 1 - 10
of 545
pro vyhledávání: '"D Nickerson"'
Autor:
Nathaniel G. Harnett, Negar Fani, Grace Rowland, Poornima Kumar, Saige Rutherford, Lisa D. Nickerson
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract The inequitable distribution of economic resources and exposure to adversity between racial groups contributes to mental health disparities within the United States. Consideration of the potential neurodevelopmental consequences, however, ha
Externí odkaz:
https://doaj.org/article/fafc7be0643b4472b4d024101df1d22a
Autor:
Lucina Q. Uddin, Richard F. Betzel, Jessica R. Cohen, Jessica S. Damoiseaux, Felipe De Brigard, Simon B. Eickhoff, Alex Fornito, Caterina Gratton, Evan M. Gordon, Angela R. Laird, Linda Larson-Prior, A. Randal McIntosh, Lisa D. Nickerson, Luiz Pessoa, Ana Luísa Pinho, Russell A. Poldrack, Adeel Razi, Sepideh Sadaghiani, James M. Shine, Anastasia Yendiki, B. T. Thomas Yeo, R. Nathan Spreng
Publikováno v:
Harvard Data Science Review, Vol 7, Iss 3 (2023)
Externí odkaz:
https://doaj.org/article/6c88c4bffd6546d3aee86d2e32537a17
Autor:
Nathaniel G. Harnett, Katherine E. Finegold, Lauren A. M. Lebois, Sanne J. H. van Rooij, Timothy D. Ely, Vishnu P. Murty, Tanja Jovanovic, Steven E. Bruce, Stacey L. House, Francesca L. Beaudoin, Xinming An, Donglin Zeng, Thomas C. Neylan, Gari D. Clifford, Sarah D. Linnstaedt, Laura T. Germine, Kenneth A. Bollen, Scott L. Rauch, John P. Haran, Alan B. Storrow, Christopher Lewandowski, Paul I. Musey, Phyllis L. Hendry, Sophia Sheikh, Christopher W. Jones, Brittany E. Punches, Michael C. Kurz, Robert A. Swor, Lauren A. Hudak, Jose L. Pascual, Mark J. Seamon, Erica Harris, Anna M. Chang, Claire Pearson, David A. Peak, Robert M. Domeier, Niels K. Rathlev, Brian J. O’Neil, Paulina Sergot, Leon D. Sanchez, Mark W. Miller, Robert H. Pietrzak, Jutta Joormann, Deanna M. Barch, Diego A. Pizzagalli, John F. Sheridan, Steven E. Harte, James M. Elliott, Ronald C. Kessler, Karestan C. Koenen, Samuel A. McLean, Lisa D. Nickerson, Kerry J. Ressler, Jennifer S. Stevens
Publikováno v:
Translational Psychiatry, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Visual components of trauma memories are often vividly re-experienced by survivors with deleterious consequences for normal function. Neuroimaging research on trauma has primarily focused on threat-processing circuitry as core to trauma-rela
Externí odkaz:
https://doaj.org/article/90299d390ea84252b907392181ff3bbc
Autor:
Huashuai Xu, Yuxing Hao, Yunge Zhang, Dongyue Zhou, Tommi Kärkkäinen, Lisa D. Nickerson, Huanjie Li, Fengyu Cong
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Modern neuroimaging studies frequently merge magnetic resonance imaging (MRI) data from multiple sites. A larger and more diverse group of participants can increase the statistical power, enhance the reliability and reproducibility of neuroimaging re
Externí odkaz:
https://doaj.org/article/bc94810b366b40f2a36dc17343932d00
Autor:
Daifeng Dong, Maria Ironside, Emily L. Belleau, Xiaoqiang Sun, Chang Cheng, Ge Xiong, Lisa D. Nickerson, Xiang Wang, Shuqiao Yao, Diego A. Pizzagalli
Publikováno v:
Translational Psychiatry, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract Major Depressive Disorder (MDD) is characterized by increased stress sensitivity. Emerging findings in healthy adults suggest that stress responses within limbic/striatal-prefrontal regions are moderated by sex and unfold over time. Thus, we
Externí odkaz:
https://doaj.org/article/5f97bdc67aad420f89d54ab78c4b5f74
Autor:
Xiao Yang, Poornima Kumar, Lisa D. Nickerson, Yue Du, Min Wang, Yayun Chen, Tao Li, Diego A. Pizzagalli, Xiaohong Ma
Publikováno v:
Biological Psychiatry Global Open Science, Vol 1, Iss 2, Pp 135-145 (2021)
Background: Identifying data-driven subtypes of major depressive disorder (MDD) holds promise for parsing the heterogeneity of MDD in a neurobiologically informed way. However, limited studies have used brain structural covariance networks (SCNs) for
Externí odkaz:
https://doaj.org/article/cc36bdad71184c84b4c396bbdbfa1c5b
Publikováno v:
NeuroImage, Vol 255, Iss , Pp 119193- (2022)
The study of brain network interactions during naturalistic stimuli facilitates a deeper understanding of human brain function. To estimate large-scale brain networks evoked with naturalistic stimuli, a tensor component analysis (TCA) based framework
Externí odkaz:
https://doaj.org/article/ca7e3387e0b94b9788ebb99ea9d2aae5
Autor:
Guoqiang Hu, Abigail B. Waters, Serdar Aslan, Blaise Frederick, Fengyu Cong, Lisa D. Nickerson
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
In independent component analysis (ICA), the selection of model order (i.e., number of components to be extracted) has crucial effects on functional magnetic resonance imaging (fMRI) brain network analysis. Model order selection (MOS) algorithms have
Externí odkaz:
https://doaj.org/article/61230a8f91c2468a86c3812108f46c11
Autor:
Huanjie Li, Stephen M. Smith, Staci Gruber, Scott E. Lukas, Marisa M. Silveri, Kevin P. Hill, William D.S. Killgore, Lisa D. Nickerson
Publikováno v:
NeuroImage, Vol 208, Iss , Pp 116388- (2020)
Pooling magnetic resonance imaging (MRI) data across research studies, or utilizing shared data from imaging repositories, presents exceptional opportunities to advance and enhance reproducibility of neuroscience research. However, scanner confounds
Externí odkaz:
https://doaj.org/article/4f8780770a794987ab835c0256b80260
Autor:
Lisa D. Nickerson
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
Abstract There have been many recent reports highlighting a crisis in replication and reliability of research in psychology, neuroscience, and neuroimaging. After a series of reports uncovered various methodological problems with functional magnetic
Externí odkaz:
https://doaj.org/article/c89f464594bb4da1b387f000477e8743