Personalized functional imaging identifies brain stimulation target for a patient with trauma-induced functional disruption.
Jianxun Ren,Qianqian Chi,Catherine S Hubbard,Weigang Cui,Danhong Wang,Luming Li,Hao Zhang,Hesheng Liu +7 more
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This article is published in Brain Stimulation.The article was published on 2022-01-01 and is currently open access. It has received 5 citations till now. The article focuses on the topics: Brain stimulation & Stimulation.read more
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Computing personalized brain functional networks from fMRI using self-supervised deep learning
TL;DR: In this paper , a self-supervised deep learning (DL) method is developed to compute personalized brain functional networks (FNs) for characterizing brain functional neuroanatomy based on functional MRI (fMRI).
Journal ArticleDOI
Fast cortical surface reconstruction from MRI using deep learning
Jianxun Ren,Qingyu Hu,Weiwei Wang,Wei Hong Zhang,Catherine S. Hubbard,Pingjian Zhang,Ning An,Ying Zhou,Louisa Dahmani,Danhong Wang,Xiaoxuan Fu,Zhenyu Sun,Yezhe Wang,Ruiqi Wang,Luming Li,Hesheng Liu +15 more
TL;DR: In this paper , the authors proposed a fast cortical surface reconstruction (FastCSR) pipeline by leveraging deep machine learning to learn an implicit representation of the cortical surface in volumetric space, termed the "level set representation".
Journal ArticleDOI
Editorial: Advances in bioelectronics and stimulation strategies for next generation neuroprosthetics
TL;DR: Guo et al. as mentioned in this paper presented advances in bioelectronics and stimulation strategies for next generation neuroprosthetics for next-generation neuro-prosthetic devices, which was published under the terms of the Creative Commons Attribution License (CC BY).
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Functional networks in prolonged disorders of consciousness
TL;DR: In this article , the functional connectivity within and between canonical cortical networks correlates with consciousness by a calculation of the associated temporal blood oxygen level-dependent (BOLD) signal process during functional MRI and reveals the brain function of patients with prolonged DoC.
Journal ArticleDOI
Fast cortical surface reconstruction from MRI using deep learning
Jianxun Ren,Qingyu Hu,Weiwei Wang,Wei Zhang,Catherine S. Hubbard,Pingjian Zhang,Ning An,Ying Zhou,Louisa Dahmani,Danhong Wang,Xiaoxuan Fu,Zhenyu Sun,Yezhe Wang,Ruiqi Wang,Luming Li,Hesheng Liu +15 more
TL;DR: In this paper , the authors proposed a fast cortical surface reconstruction (FastCSR) pipeline by leveraging deep machine learning to learn an implicit representation of the cortical surface in volumetric space, termed the "level set representation".
References
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The Role of the Medial Frontal Cortex in Cognitive Control.
TL;DR: New findings in cognitive neuroscience concerning cortical interactions that subserve the recruitment and implementation of cognitive control are evaluated, suggesting that monitoring-related pMFC activity serves as a signal that engages regulatory processes in the LPFC to implement performance adjustments.
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From movement to thought: anatomic substrates of the cerebellar contribution to cognitive processing.
TL;DR: These proposed rules and the general and specific hypotheses offered are testable using functional neuroimaging techniques and may thus be mutually advantageous in predicting and explaining new concepts of cerebellar function.
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Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases.
Michael D. Fox,Randy L. Buckner,Hesheng Liu,M. Mallar Chakravarty,M. Mallar Chakravarty,Andres M. Lozano,Andres M. Lozano,Alvaro Pascual-Leone +7 more
TL;DR: It is found that although different types of brain stimulation are applied in different locations, targets used to treat the same disease most often are nodes within the same brain network as defined by resting-state functional-connectivity MRI.
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Parcellating cortical functional networks in individuals
Danhong Wang,Randy L. Buckner,Michael D. Fox,Michael D. Fox,Daphne J. Holt,Avram J. Holmes,Avram J. Holmes,Sophia Stoecklein,Sophia Stoecklein,Georg Langs,Georg Langs,Ruiqi Pan,Tianyi Qian,Tianyi Qian,Tianyi Qian,Kuncheng Li,Justin T. Baker,Justin T. Baker,Steven M. Stufflebeam,Steven M. Stufflebeam,Kai Wang,Xiaomin Wang,Bo Hong,Hesheng Liu +23 more
TL;DR: A cortical parcellation approach to accurately map functional organization at the individual level using resting-state functional magnetic resonance imaging (fMRI) was developed and validated by invasive cortical stimulation mapping in surgical patients, suggesting potential for use in clinical applications.
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Prospective Validation That Subgenual Connectivity Predicts Antidepressant Efficacy of Transcranial Magnetic Stimulation Sites.
Anne Weigand,Andreas Horn,Ruth Caballero,Danielle Cooke,Adam P. Stern,Stephan F. Taylor,Daniel Z. Press,Alvaro Pascual-Leone,Michael D. Fox,Michael D. Fox +9 more
TL;DR: This study provides prospective validation that functional connectivity between an individual's rTMS cortical target and the subgenual cingulate predicts antidepressant response.