Search Results - "Wang, Zhishun"
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Connecting the Dots: A Review of Resting Connectivity MRI Studies in Attention-Deficit/Hyperactivity Disorder
Published in Neuropsychology review (01-03-2014)“…Psychopathology is increasingly viewed from a circuit perspective in which a disorder stems not from circumscribed anomalies in discrete brain regions, but…”
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The Neural Circuits That Generate Tics in Tourette's Syndrome
Published in The American journal of psychiatry (01-12-2011)“…Objective:The purpose of this study was to examine neural activity and connectivity within cortico-striato-thalamo-cortical circuits and to reveal…”
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Antidepressants normalize the default mode network in patients with dysthymia
Published in JAMA psychiatry (Chicago, Ill.) (01-04-2013)“…The default mode network (DMN) is a collection of brain regions that reliably deactivate during goal-directed behaviors and is more active during a baseline,…”
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4
Increased Default Mode Network Connectivity in Individuals at High Familial Risk for Depression
Published in Neuropsychopharmacology (New York, N.Y.) (01-06-2016)“…Research into the pathophysiology of major depressive disorder (MDD) has focused largely on individuals already affected by MDD. Studies have thus been limited…”
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Dissociable attentional and affective circuits in medication-naïve children with attention-deficit/hyperactivity disorder
Published in Psychiatry research. Neuroimaging (30-07-2013)“…Abstract Current neurocognitive models of attention-deficit/hyperactivity disorder (ADHD) suggest that neural circuits involving both attentional and affective…”
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Resistive Switching Induced by Metallic Filaments Formation through Poly(3,4-ethylene-dioxythiophene):Poly(styrenesulfonate)
Published in ACS applied materials & interfaces (25-01-2012)“…We report the design and fabrication of Al/poly(3,4-ethylene-dioxythiophene):poly(styrenesulfonate) (PEDOT:PSS)/Cu resistive memory devices that utilize the Cu…”
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Aberrant Functional Network Connectivity as a Biomarker of Generalized Anxiety Disorder
Published in Frontiers in human neuroscience (19-12-2017)“…Neural disruptions during emotion regulation are common of generalized anxiety disorder (GAD). Identifying distinct functional and effective connectivity…”
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Inhibition of LSD1 by Pargyline inhibited process of EMT and delayed progression of prostate cancer in vivo
Published in Biochemical and biophysical research communications (13-11-2015)“…Recently, lysine-specific demethylase 1 (LSD1) was identified as the first histone demethylase. LSD1 interacted with androgen receptor (AR) and promoted…”
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A multimodal MRI study of the hippocampus in medication-naive children with ADHD: What connects ADHD and depression?
Published in Psychiatry research. Neuroimaging (30-11-2014)“…Abstract Children with attention-deficit/hyperactivity disorder (ADHD) are at increased risk for developing depression. The neurobiological substrates that…”
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Altered Activation in Fronto-Striatal Circuits During Sequential Processing of Conflict in Unmedicated Adults with Obsessive-Compulsive Disorder
Published in Biological psychiatry (1969) (15-04-2014)“…Background The aim of this study was to examine the functioning of fronto-striatal brain circuits that support self-regulatory capacities including conflict…”
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Obesity and acute stress modulate appetite and neural responses in food word reactivity task
Published in PloS one (28-09-2022)“…Obesity can result from excess intake in response to environmental food cues, and stress can drive greater intake and body weight. We used a novel fMRI task to…”
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An fMRI Study of the Effects of Psychostimulants on Default-Mode Processing During Stroop Task Performance in Youths With ADHD
Published in The American journal of psychiatry (01-11-2009)“…Objective: The authors examined the effect of psychostimulants on brain activity in children and adolescents with ADHD performing the Stroop Color and Word…”
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Overexpression of Pleomorphic Adenoma Gene-Like 2 Is a Novel Poor Prognostic Marker of Prostate Cancer
Published in PloS one (18-08-2016)“…Pleomorphic adenoma gene like-2 (PLAGL2) is a member of the PLAG gene family. Previous studies have revealed that overexpression of PLAGL2 is associated with…”
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Neural Systems Subserving Valence and Arousal During the Experience of Induced Emotions
Published in Emotion (Washington, D.C.) (01-06-2010)“…The circumplex model of affect construes all emotions as linear combinations of 2 independent neurophysiological dimensions, valence and arousal. We used…”
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An fMRI Study of Self-Regulatory Control and Conflict Resolution in Adolescents With Bulimia Nervosa
Published in The American journal of psychiatry (01-11-2011)“…A self-regulatory control fMRI paradigm was employed to study adolescent girls with a short duration of bulimia nervosa compared with healthy comparison…”
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Religious and spiritual importance moderate relation between default mode network connectivity and familial risk for depression
Published in Neuroscience letters (10-11-2016)“…•High risk status for depression has been associated with increased default mode network (DMN) connectivity in this sample. Belief in the importance of…”
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Brain disorder prediction with dynamic multivariate spatio-temporal features: Application to Alzheimer’s disease and autism spectrum disorder
Published in Frontiers in aging neuroscience (30-08-2022)“…The dynamic functional connectivity (dFC) in functional magnetic resonance imaging (fMRI) is beneficial for the analysis and diagnosis of neurological brain…”
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Visual inspection of independent components: Defining a procedure for artifact removal from fMRI data
Published in Journal of neuroscience methods (15-06-2010)“…Artifacts in functional magnetic resonance imaging (fMRI) data, primarily those related to motion and physiological sources, negatively impact the functional…”
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Editorial: Machine Learning for Quantitative Neuroimaging Analysis
Published in Frontiers in neuroscience (25-05-2022)“…[...]the structural neuroimaging has been broadly used in detecting and quantifying brain tumors, bleeding, multiple sclerosis (MS), blood clots, traumatic…”
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Multivariate Deep Learning Classification of Alzheimer's Disease Based on Hierarchical Partner Matching Independent Component Analysis
Published in Frontiers in aging neuroscience (17-12-2018)“…Machine learning and pattern recognition have been widely investigated in order to look for the biomarkers of Alzheimer's disease (AD). However, most existing…”
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