Search Results - "Lucas, Molly"

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    Oxytocin enhances brain function in children with autism by Gordon, Ilanit, Wyk, Brent C. Vander, Bennett, Randi H., Cordeaux, Cara, Lucas, Molly V., Eilbott, Jeffrey A., Zagoory-Sharon, Orna, Leckman, James F., Feldman, Ruth, Pelphrey, Kevin A.

    “…Following intranasal administration of oxytocin (OT), we measured, via functional MRI, changes in brain activity during judgments of socially (Eyes) and…”
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    Journal Article
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    Neurofeedback Training With an Electroencephalogram-Based Brain-Computer Interface Enhances Emotion Regulation by Huang, Weichen, Wu, Wei, Lucas, Molly V., Huang, Haiyun, Wen, Zhenfu, Li, Yuanqing

    Published in IEEE transactions on affective computing (01-04-2023)
    “…Emotion regulation plays a vital role in human beings daily lives by helping them deal with social problems and protects mental and physical health. However,…”
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    Journal Article
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    Detection of Language Lateralization Using Spectral Analysis of EEG by Nix, Kerry C, Oh, Ahyuda, Goad, Beattie S, Wu, Wei, Lucas, Molly V, Baumer, Fiona M

    Published in Journal of clinical neurophysiology (01-05-2024)
    “…Language lateralization relies on expensive equipment and can be difficult to tolerate. We assessed if lateralized brain responses to a language task can be…”
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    Journal Article
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    Effect of Low-Frequency Repetitive Transcranial Magnetic Stimulation on Impulse Inhibition in Abstinent Patients With Methamphetamine Addiction: A Randomized Clinical Trial by Yuan, Jiajin, Liu, Weijun, Liang, Qiongdan, Cao, Xinyu, Lucas, Molly V, Yuan, Ti-Fei

    Published in JAMA network open (02-03-2020)
    “…Impulsivity during periods of abstinence is a critical symptom of patients who use methamphetamine (MA). To evaluate changes in impulse inhibition elicited by…”
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    Journal Article
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    Color painting predicts clinical symptoms in chronic schizophrenia patients via deep learning by Shen, Hui, Wang, Shui-Hua, Zhang, Yi, Wang, Haixia, Li, Feng, Lucas, Molly V, Zhang, Yu-Dong, Liu, Yan, Yuan, Ti-Fei

    Published in BMC psychiatry (22-10-2021)
    “…Individuals with psychiatric disorders perceive the world differently. Previous studies indicated impaired color vision and weakened color discrimination…”
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    Journal Article
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    Side-Aware Meta-Learning for Cross-Dataset Listener Diagnosis With Subjective Tinnitus by Liu, Zhe, Li, Yun, Yao, Lina, Lucas, Molly, Monaghan, Jessica J. M., Zhang, Yu

    “…With the development of digital technology, machine learning has paved the way for the next generation of tinnitus diagnoses. Although machine learning has…”
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    Journal Article
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    Disturbed temporal dynamics of episodic retrieval activity with preserved spatial activity pattern in amnestic mild cognitive impairment: A simultaneous EEG-fMRI study by Shu, Hao, Gu, Lihua, Yang, Ping, Lucas, Molly V., Gao, Lijuan, Zhang, Hongxing, Zhang, Haisan, Xu, Zhan, Wu, Wei, Li, Ling, Zhang, Zhijun

    Published in NeuroImage clinical (01-01-2021)
    “…•The HC and aMCI subjects showed similar retrieval success patterns in fMRI analysis.•The aMCI showed diminished ERP old/new effects within the retrieval…”
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    Journal Article
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    Dissociating the Neural Correlates of Experiencing and Imagining Affective Touch by Lucas, Molly V, Anderson, Laura C, Bolling, Danielle Z, Pelphrey, Kevin A, Kaiser, Martha D

    Published in Cerebral cortex (New York, N.Y. 1991) (01-09-2015)
    “…This functional magnetic resonance imaging (fMRI) study examined experiencing and imagining gentle arm and palm touch to determine whether these processes…”
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    Journal Article
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    How to design PET experiments to study neurochemistry: application to alcoholism by Morris, Evan D, Lucas, Molly V, Petrulli, J Ryan, Cosgrove, Kelly P

    Published in The Yale journal of biology & medicine (05-03-2014)
    “…Positron Emission Tomography (PET) (and the related Single Photon Emission Computed Tomography) is a powerful imaging tool with a molecular specificity and…”
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    Journal Article
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    Advanced Artifact Removal for Automated TMS-EEG Data Processing by Cline, Christopher C., Lucas, Molly V., Sun, Yinming, Menezes, Matthew, Etkin, Amit

    “…Transcranial magnetic stimulation (TMS) with concurrent electroencephalography (EEG) is a key tool towards non-invasively characterizing causal circuits in…”
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    Conference Proceeding
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    Development of a porcine Roux-en-Y gastric bypass survival model for the study of post-surgical physiology by Flum, David R, Devlin, Allison, Wright, Andrew S, Figueredo, Edgar, Alyea, Eric, Hanley, Patrick W, Lucas, Molly K, Cummings, David E

    Published in Obesity surgery (01-10-2007)
    “…Rodents have been used to examine physiologic changes after bariatric surgery, but differences in gastric/vagal anatomy may limit their utility. Swine may be a…”
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    Journal Article
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    Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning by Naze, Sebastien, Caggiano, Vittorio, Sun, Yinming, Lucas, Molly V., Etkin, Amit, Kozloski, James R.

    “…Modeling transcranial magnetic stimulation (TMS) evoked potentials (TEP) begins with classification of stereotypical single-pulse TMS responses in order to…”
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    Conference Proceeding Journal Article
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    Cortical plasticity differences in substance use disorders by Liu, Qing-Ming, Lucas, Molly, Badami, Faizan, Wu, Wei, Etkin, Amit, Yuan, Ti-Fei

    Published in Fundamental research (Beijing) (01-03-2023)
    “…Among substances, opiates and psychostimulants are responsible for the most significant public health problems, yet few studies have characterized their…”
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    Journal Article
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    Brain Mapping and Plasticity Induction Using Non-Invasive Brain Stimulation by Lucas, Molly Vanneman

    Published 01-01-2021
    “…Transcranial magnetic stimulation (TMS) is a form of non-invasive brain stimulation, which can be paired with concurrent electroencephalography (EEG). Low…”
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    Dissertation
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    Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus by Li, Yun, Liu, Zhe, Yao, Lina, Lucas, Molly, Monaghan, Jessica J. M, Zhang, Yu

    Published 02-05-2022
    “…With the development of digital technology, machine learning has paved the way for the next generation of tinnitus diagnoses. Although machine learning has…”
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    Journal Article
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