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Dive into the research topics where Rongjun Yu is active.

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Featured researches published by Rongjun Yu.


Science | 2009

A key role for similarity in vicarious reward

Dean Mobbs; Rongjun Yu; Marcel Meyer; Luca Passamonti; Ben Seymour; Andrew J. Calder; Susanne Schweizer; Chris Frith; Tim Dalgleish

A functional magnetic resonance imaging study reveals the interactions within the brain that modulate feelings of reward on seeing a similar person win a contest. Humans appear to have an inherent prosocial tendency toward one another in that we often take pleasure in seeing others succeed. This fact is almost certainly exploited by game shows, yet why watching others win elicits a pleasurable vicarious rewarding feeling in the absence of personal economic gain is unclear. One explanation is that game shows use contestants who have similarities to the viewing population, thereby kindling kin-motivated responses (for example, prosocial behavior). Using a game show–inspired paradigm, we show that the interactions between the ventral striatum and anterior cingulate cortex subserve the modulation of vicarious reward by similarity, respectively. Our results support studies showing that similarity acts as a proximate neurobiological mechanism where prosocial behavior extends to unrelated strangers.


Proceedings of the National Academy of Sciences of the United States of America | 2010

Neural activity associated with monitoring the oscillating threat value of a tarantula

Dean Mobbs; Rongjun Yu; James B. Rowe; Hannah Eich; Oriel FeldmanHall; Tim Dalgleish

Phylogenetic threats such as spiders evoke our deepest primitive fears. When close or looming, such threats engage evolutionarily conserved monitoring systems and defense reactions that promote self-preservation. With the use of a modified behavioral approach task within functional MRI, we show that, as a tarantula was placed closer to a subjects foot, increased experiences of fear coincided with augmented activity in a cascade of fear-related brain networks including the periaqueductal gray, amygdala, and bed nucleus of the stria terminalis. Activity in the amygdala was also associated with underprediction of the tarantulas threat value and, in addition to the bed nucleus of the stria terminalis, with monitoring the tarantulas threat value as indexed by its direction of movement. Conversely, the orbitofrontal cortex was engaged as the tarantula grew more distant, suggesting that this region emits safety signals or expels fear. Our findings fractionate the neurobiological mechanisms associated with basic fear and potentially illuminate the perturbed reactions that characterize clinical phobias.


Human Brain Mapping | 2014

Frequency-specific alternations in the amplitude of low-frequency fluctuations in schizophrenia

Rongjun Yu; Yi-Ling Chien; Hsiao-Lan Sharon Wang; Chih-Min Liu; Chen-Chung Liu; Tzung-Jeng Hwang; Ming H. Hsieh; Hai-Gwo Hwu; Wen-Yih Isaac Tseng

Schizophrenia has been associated with abnormal task‐related brain activation in sensory and motor regions as well as social cognition network. Recently, two studies investigated temporal correlation between resting‐state functional magnetic resonance imaging (R‐fMRI) low‐frequency oscillations (LFOs) in schizophrenia but reported mixed results. This may be due to the different frequency bands used in these studies. Here we utilized R‐fMRI to measure the amplitude of low‐frequency fluctuations (ALFF) and fractional ALFF (fALFF) in three different frequency bands (slow‐5: 0.01–0.027 Hz; slow‐4: 0.027–0.08 Hz; and typical band: 0.01–0.08 Hz) in 69 patients with schizophrenia and 62 healthy controls. We showed that there were significant differences in ALFF/fALFF between the two bands (slow‐5 and slow‐4) in regions including basal ganglia, midbrain, and ventromedial prefrontal cortex. Importantly, we also identified significant interaction between frequency bands and groups in inferior occipital gyrus, precunus, and thalamus. The results suggest that the abnormalities of LFOs in schizophrenia is dependent on the frequency band and suggest that future studies should take the different frequency bands into account when measure intrinsic brain activity. Hum Brain Mapp 35:627–637, 2014.


Neuropsychologia | 2010

To do or not to do? Action enlarges the FRN and P300 effects in outcome evaluation

Zhiheng Zhou; Rongjun Yu; Xiaolin Zhou

Behavioral studies demonstrate that the outcome following an individuals action evokes stronger emotional responses than the same outcome following inaction. Here we use the event-related potential (ERP) technique to investigate how action affects the brain activity in outcome evaluation. In a gambling task, participants were asked to select a box from three boxes containing monetary reward and then to decide whether they would change their initial choice (i.e., action) or not (i.e., inaction). The feedback-related negativity (FRN), an evoked potential that peaks approximately 250 ms after receipt of feedback information, showed a larger differential effect between loss and win following action than following inaction. Similarly, the P300 showed a larger differential effect following action than following inaction, but now with the responses more positive to the win feedback than to the loss feedback. These results suggest that action may increase the expectancy towards the outcome and/or the motivational/emotional significance of the outcome, and that this action effect can be found in both the FRN and the P300 electrophysiological responses.


Cerebral Cortex | 2011

Autism Spectrum Traits in the Typical Population Predict Structure and Function in the Posterior Superior Temporal Sulcus

Elisabeth A. H. von dem Hagen; Lauri Nummenmaa; Rongjun Yu; Andrew D. Engell; Michael P. Ewbank; Andrew J. Calder

Autism spectrum disorders (ASDs) are typically characterized by impaired social interaction and communication, narrow interests, and repetitive behaviors. The heterogeneity in the severity of these characteristics across individuals with ASD has led some researchers to suggest that these disorders form a continuum which extends into the general, or “typical,” population, and there is growing evidence that the extent to which typical adults display autistic traits, as measured using the autism-spectrum quotient (AQ), predicts performance on behavioral tasks that are impaired in ASD. Here, we show that variation in autism spectrum traits is related to cortical structure and function within the typical population. Voxel-based morphometry showed that increased AQ scores were associated with decreased white matter volume in the posterior superior temporal sulcus (pSTS), a region important in processing socially relevant stimuli and associated with structural and functional impairments in ASD. In addition, AQ was correlated with the extent of cortical deactivation of an adjacent area of pSTS during a Stroop task relative to rest, reflecting variation in resting state function. The results provide evidence that autism spectrum characteristics are reflected in neural structure and function across the typical (non-ASD) population.


NeuroImage: Clinical | 2014

Disrupted functional connectivity of the periaqueductal gray in chronic low back pain.

Rongjun Yu; Randy L. Gollub; Rosa Spaeth; Vitaly Napadow; Ajay D. Wasan; Jian Kong

Chronic low back pain is a common neurological disorder. The periaqueductal gray (PAG) plays a key role in the descending modulation of pain. In this study, we investigated brain resting state PAG functional connectivity (FC) differences between patients with chronic low back pain (cLBP) in low pain or high pain condition and matched healthy controls (HCs). PAG seed based functional connectivity (FC) analysis of the functional MR imaging data was performed to investigate the difference among the connectivity maps in the cLBP in the low or high pain condition and HC groups as well as within the cLBP at differing endogenous back pain intensities. Results showed that FC between the PAG and the ventral medial prefrontal cortex (vmPFC)/rostral anterior cingulate cortex (rACC) increased in cLBP patients compared to matched controls. In addition, we also found significant negative correlations between pain ratings and PAG–vmPFC/rACC FC in cLBP patients after pain-inducing maneuver. The duration of cLBP was negatively correlated with PAG–insula and PAG–amygdala FC before pain-inducing maneuver in the patient group. These findings are in line with the impairments of the descending pain modulation reported in patients with cLBP. Our results provide evidence showing that cLBP patients have abnormal FC in PAG centered pain modulation network during rest.


PLOS ONE | 2011

Regional Grey and White Matter Changes in Heavy Male Smokers

Rongjun Yu; Liyan Zhao; Lin Lu

Cigarette smoking is highly prevalent in the general population but the effects of chronic smoking on brain structures are still unclear. Previous studies have found mixed results regarding regional grey matter abnormalities in smokers. To characterize both grey and white matter changes in heavy male smokers, we investigated 16 heavy smokers and 16 matched healthy controls, using both univariate voxel-based morphometry (VBM) and multivariate pattern classification analysis. Compared with controls, heavy smokers exhibited smaller grey matter volume in cerebellum, as well as larger white matter volume in putamen, anterior and middle cingulate cortex. Further, the spatial patterns of grey matter or white matter both discriminated smokers from controls in these regions as well as in other brain regions. Our findings demonstrated volume abnormalities not only in the grey matter but also in the white matter in heavy male smokers. The multivariate analysis suggests that chronic smoking may be associated with volume alternations in broader brain regions than those identified in VBM analysis. These results may better our understanding of the neurobiological consequence of smoking and inform smoking treatment.


Human Brain Mapping | 2014

Key functional circuitry altered in schizophrenia involves parietal regions associated with sense of self.

Shuixia Guo; Keith M. Kendrick; Rongjun Yu; Hsiao-Lan Sharon Wang; Jianfeng Feng

There is still no clear consensus as to which of the many functional and structural changes in the brain in schizophrenia are of most importance, although the main focus to date has been on those in the frontal and cingulate cortices. In the present study, we have used a novel holistic approach to identify brain‐wide functional connectivity changes in medicated schizophrenia patients, and functional connectivity changes were analyzed using resting‐state fMRI data from 69 medicated schizophrenia patients and 62 healthy controls. As far as we are aware, this is the largest population reported in the literature for a resting‐state study. Voxel‐based morphometry was also used to investigate gray and white matter volume changes. Changes were correlated with illness duration/symptom severity and a support vector machine analysis assessed predictive validity. A network involving the inferior parietal lobule, superior parietal gyrus, precuneus, superior marginal, and angular gyri was by far the most affected (68% predictive validity compared with 82% using all connections) and different components correlated with illness duration and positive and negative symptom severity. Smaller changes occurred in emotional memory and sensory and motor processing networks along with weakened interhemispheric connections. Our findings identify the key functional circuitry altered in schizophrenia involving the default network midline cortical system and the cortical mirror neuron system, both playing important roles in sensory and cognitive processing and particularly self‐processing, all of which are affected in this disorder. Interestingly, the functional connectivity changes with the strongest links to schizophrenia involved parietal rather than frontal regions. Hum Brain Mapp 35:123–139, 2014.


npj Schizophrenia | 2015

Voxel-based, brain-wide association study of aberrant functional connectivity in schizophrenia implicates thalamocortical circuitry

Wei Cheng; Lena Palaniyappan; Mingli Li; Keith M. Kendrick; Jie Zhang; Qiang Luo; Zening Liu; Rongjun Yu; Wei Deng; Qiang Wang; Xiaohong Ma; Wanjun Guo; Peter F. Liddle; Andrew R Mayer; Gunter Schumann; Tao Li; Jianfeng Feng

Background:Wernicke’s concept of ‘sejunction’ or aberrant associations among specialized brain regions is one of the earliest hypotheses attempting to explain the myriad of symptoms in psychotic disorders. Unbiased data mining of all possible brain-wide connections in large data sets is an essential first step in localizing these aberrant circuits.Methods:We analyzed functional connectivity using the largest resting-state neuroimaging data set reported to date in the schizophrenia literature (415 patients vs. 405 controls from UK, USA, Taiwan, and China). An exhaustive brain-wide association study at both regional and voxel-based levels enabled a continuous data-driven discovery of the key aberrant circuits in schizophrenia.Results:Results identify the thalamus as the key hub for altered functional networks in patients. Increased thalamus–primary somatosensory cortex connectivity was the most significant aberration in schizophrenia (P=10−18). Overall, a number of thalamic links with motor and sensory cortical regions showed increased connectivity in schizophrenia, whereas thalamo–frontal connectivity was weakened. Network changes were correlated with symptom severity and illness duration, and support vector machine analysis revealed discrimination accuracies of 73.53–80.92%.Conclusions:Widespread alterations in resting-state thalamocortical functional connectivity is likely to be a core feature of schizophrenia that contributes to the extensive sensory, motor, cognitive, and emotional impairments in this disorder. Changes in this schizophrenia-associated network could be a reliable mechanistic index to discriminate patients from healthy controls.


PLOS ONE | 2013

Enhanced Functional Connectivity between Putamen and Supplementary Motor Area in Parkinson’s Disease Patients

Rongjun Yu; Bo Liu; Lingling Wang; Jun Chen; Xian Liu

Parkinson’s disease (PD) is a surprisingly heterogeneous disorder with symptoms including resting tremor, bradykinesia and rigidity. PD has been associated with abnormal task related brain activation in sensory and motor regions as well as reward related network. Although corticostriatal skeletomotor circuit dysfunction is implicated in the neurobiology of Parkinson’s disease, the functional connectivity within this circuit at the resting state is still unclear for PD. Here we utilized resting state functional magnetic resonance imaging to measure the functional connectivity of striatum and motor cortex in 19 patients with PD and 20 healthy controls. We found that the putamen, but not the caudate, exhibited enhanced connectivity with supplementary motor area (SMA), using either the putamen or the SMA as the “seed region”. Enhanced SMA-amygdala functional connectivity was also found in the PD group, compared with normal controls. Our findings highlight the key role of hyper-connected putamen-SMC circuit in the pathophysiology of PD.

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Andrew J. Calder

Cognition and Brain Sciences Unit

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Keith M. Kendrick

University of Electronic Science and Technology of China

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Yi Huang

South China Normal University

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Xiaolin Zhou

McGovern Institute for Brain Research

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Sai Sun

South China Normal University

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Tim Dalgleish

Cognition and Brain Sciences Unit

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