23 research outputs found

    Imbalanced functional link between executive control network and reward network explain the online-game seeking behaviors in Internet gaming disorder

    Get PDF
    Literatures have shown that Internet gaming disorder (IGD) subjects show impaired executive control and enhanced reward sensitivities than healthy controls. However, how these two networks jointly affect the valuation process and drive IGD subjects' online-game-seeking behaviors remains unknown. Thirty-five IGD and 36 healthy controls underwent a resting-states scan in the MRI scanner. Functional connectivity (FC) was examined within control and reward network seeds regions, respectively. Nucleus accumbens (NAcc) was selected as the node to find the interactions between these two networks. IGD subjects show decreased FC in the executive control network and increased FC in the reward network when comparing with the healthy controls. When examining the correlations between the NAcc and the executive control/reward networks, the link between the NAcc - executive control network is negatively related with the link between NAcc - reward network. The changes (decrease/increase) in IGD subjects' brain synchrony in control/reward networks suggest the inefficient/overly processing within neural circuitry underlying these processes. The inverse proportion between control network and reward network in IGD suggest that impairments in executive control lead to inefficient inhibition of enhanced cravings to excessive online game playing. This might shed light on the mechanistic understanding of IGD

    An fMRI Study to Analyze Neural Correlates of Presence during Virtual Reality Experiences

    Full text link
    [EN] In the field of virtual reality (VR), many efforts have been made to analyze presence, the sense of being in the virtual world. However, it is only recently that functional magnetic resonance imaging (fMRI) has been used to study presence during an automatic navigation through a virtual environment. In the present work, our aim was to use fMRI to study the sense of presence during a VR-free navigation task, in comparison with visualization of photographs and videos (automatic navigations through the same environment). The main goal was to analyze the usefulness of fMRI for this purpose, evaluating whether, in this context, the interaction between the subject and the environment is performed naturally, hiding the role of technology in the experience. We monitored 14 right-handed healthy females aged between 19 and 25 years. Frontal, parietal and occipital regions showed their involvement during free virtual navigation. Moreover, activation in the dorsolateral prefrontal cortex was also shown to be negatively correlated to sense of presence and the postcentral parietal cortex and insula showed a parametric increased activation according to the condition-related sense of presence, which suggests that stimulus attention and self-awareness processes related to the insula may be linked to the sense of presence.This study was funded by the Ministerio de Educación y Ciencia Spain, Project Game Teen (TIN2010-20187) and partially by projects Consolider-C (SEJ2006-14301/PSIC), ‘CIBER of Physiopathology of Obesity and Nutrition, an initiative of ISCIII’, the Excellence Research Program PROMETEO (Generalitat Valenciana. Conselleria de Educación, 2008-157) and the Consolider INGENIO program (CSD2007-00012). The work of Miriam Clemente was supported by the Generalitat Valenciana under a VALi+d Grant.Clemente Bellido, M.; Rey, B.; Rodríguez Pujadas, A.; Barros Loscertales, A.; Baños, RM.; Botella, C.; Alcañiz Raya, ML.... (2014). An fMRI Study to Analyze Neural Correlates of Presence during Virtual Reality Experiences. Interacting with Computers. 26(3):269-284. https://doi.org/10.1093/iwc/iwt037S269284263Aguirre, G. K., Detre, J. A., Alsop, D. C., & D’Esposito, M. (1996). The Parahippocampus Subserves Topographical Learning in Man. Cerebral Cortex, 6(6), 823-829. doi:10.1093/cercor/6.6.823Alcañiz, M., Rey, B., Tembl, J., & Parkhutik, V. (2009). A Neuroscience Approach to Virtual Reality Experience Using Transcranial Doppler Monitoring. Presence: Teleoperators and Virtual Environments, 18(2), 97-111. doi:10.1162/pres.18.2.97Amaro, E., & Barker, G. J. (2006). Study design in fMRI: Basic principles. Brain and Cognition, 60(3), 220-232. doi:10.1016/j.bandc.2005.11.009Astur, R. S., St. Germain, S. A., Baker, E. K., Calhoun, V., Pearlson, G. D., & Constable, R. T. (2005). fMRI Hippocampal Activity During a VirtualRadial Arm Maze. Applied Psychophysiology and Biofeedback, 30(3), 307-317. doi:10.1007/s10484-005-6385-zBaños, R. M., Botella, C., Garcia-Palacios, A., Villa, H., Perpiña, C., & Alcañiz, M. (2000). Presence and Reality Judgment in Virtual Environments: A Unitary Construct? CyberPsychology & Behavior, 3(3), 327-335. doi:10.1089/10949310050078760Baumann, S., Neff, C., Fetzick, S., Stangl, G., Basler, L., Vereneck, R., & Schneider, W. (2003). A Virtual Reality System for Neurobehavioral and Functional MRI Studies. CyberPsychology & Behavior, 6(3), 259-266. doi:10.1089/109493103322011542Maertens, M. (2008). Retinotopic activation in response to subjective contours in primary visual cortex. Frontiers in Human Neuroscience, 2, 1-7. doi:10.3389/neuro.09.002.2008Baumgartner, T., Valko, L., Esslen, M., & Jäncke, L. (2006). Neural Correlate of Spatial Presence in an Arousing and Noninteractive Virtual Reality: An EEG and Psychophysiology Study. CyberPsychology & Behavior, 9(1), 30-45. doi:10.1089/cpb.2006.9.30Belliveau, J., Kennedy, D., McKinstry, R., Buchbinder, B., Weisskoff, R., Cohen, M., … Rosen, B. (1991). Functional mapping of the human visual cortex by magnetic resonance imaging. Science, 254(5032), 716-719. doi:10.1126/science.1948051Born, R. T., & Bradley, D. C. (2005). STRUCTURE AND FUNCTION OF VISUAL AREA MT. Annual Review of Neuroscience, 28(1), 157-189. doi:10.1146/annurev.neuro.26.041002.131052Canli, T., Zhao, Z., Desmond, J. E., Kang, E., Gross, J., & Gabrieli, J. D. E. (2001). An fMRI study of personality influences on brain reactivity to emotional stimuli. Behavioral Neuroscience, 115(1), 33-42. doi:10.1037/0735-7044.115.1.33Clemente, M., Rodríguez, A., Rey, B., Rodríguez, A., Baños, R. M., Botella, C., … Ávila, C. (2011). Analyzing the Level of Presence While Navigating in a Virtual Environment during an fMRI Scan. Lecture Notes in Computer Science, 475-478. doi:10.1007/978-3-642-23768-3_61(Bud) Craig, A. D. (2009). How do you feel — now? The anterior insula and human awareness. Nature Reviews Neuroscience, 10(1), 59-70. doi:10.1038/nrn2555Dilger, S., Straube, T., Mentzel, H.-J., Fitzek, C., Reichenbach, J. R., Hecht, H., … Miltner, W. H. R. (2003). Brain activation to phobia-related pictures in spider phobic humans: an event-related functional magnetic resonance imaging study. Neuroscience Letters, 348(1), 29-32. doi:10.1016/s0304-3940(03)00647-5Dodds, C. M., Morein-Zamir, S., & Robbins, T. W. (2010). Dissociating Inhibition, Attention, and Response Control in the Frontoparietal Network Using Functional Magnetic Resonance Imaging. Cerebral Cortex, 21(5), 1155-1165. doi:10.1093/cercor/bhq187Epstein, R., & Kanwisher, N. (1998). A cortical representation of the local visual environment. Nature, 392(6676), 598-601. doi:10.1038/33402Flach, J. M., & Holden, J. G. (1998). The Reality of Experience: Gibson’s Way. Presence: Teleoperators and Virtual Environments, 7(1), 90-95. doi:10.1162/105474698565550Friston, K. J., Holmes, A. P., Poline, J.-B., Grasby, P. J., Williams, S. C. R., Frackowiak, R. S. J., & Turner, R. (1995). Analysis of fMRI Time-Series Revisited. NeuroImage, 2(1), 45-53. doi:10.1006/nimg.1995.1007GEAKE, J., & HANSEN, P. (2005). Neural correlates of intelligence as revealed by fMRI of fluid analogies. NeuroImage, 26(2), 555-564. doi:10.1016/j.neuroimage.2005.01.035Haldane, M., Cunningham, G., Androutsos, C., & Frangou, S. (2008). Structural brain correlates of response inhibition in Bipolar Disorder I. Journal of Psychopharmacology, 22(2), 138-143. doi:10.1177/0269881107082955Hartley, T., Maguire, E. A., Spiers, H. J., & Burgess, N. (2003). The Well-Worn Route and the Path Less Traveled. Neuron, 37(5), 877-888. doi:10.1016/s0896-6273(03)00095-3Heeter, C. (1992). Being There: The Subjective Experience of Presence. Presence: Teleoperators and Virtual Environments, 1(2), 262-271. doi:10.1162/pres.1992.1.2.262De Castro, F. (2009). Wiring olfaction: the cellular and molecular mechanisms that guide the development of synaptic connections from the nose to the cortex. Frontiers in Neuroscience. doi:10.3389/neuro.22.004.2009Johnson, P. B., Ferraina, S., Bianchi, L., & Caminiti, R. (1996). Cortical Networks for Visual Reaching: Physiological and Anatomical Organization of Frontal and Parietal Lobe Arm Regions. Cerebral Cortex, 6(2), 102-119. doi:10.1093/cercor/6.2.102Karnath, H.-O. (2005). Awareness of the Functioning of One’s Own Limbs Mediated by the Insular Cortex? Journal of Neuroscience, 25(31), 7134-7138. doi:10.1523/jneurosci.1590-05.2005Koechlin, E. (2003). The Architecture of Cognitive Control in the Human Prefrontal Cortex. Science, 302(5648), 1181-1185. doi:10.1126/science.1088545Lang, P. J., Bradley, M. M., Fitzsimmons, J. R., Cuthbert, B. N., Scott, J. D., Moulder, B., & Nangia, V. (1998). Emotional arousal and activation of the visual cortex: An fMRI analysis. Psychophysiology, 35(2), 199-210. doi:10.1017/s0048577298001991Le Bihan, D., Turner, R., Zeffiro, T. A., Cuenod, C. A., Jezzard, P., & Bonnerot, V. (1993). Activation of human primary visual cortex during visual recall: a magnetic resonance imaging study. Proceedings of the National Academy of Sciences, 90(24), 11802-11805. doi:10.1073/pnas.90.24.11802Lessiter, J., Freeman, J., Keogh, E., & Davidoff, J. (2001). A Cross-Media Presence Questionnaire: The ITC-Sense of Presence Inventory. Presence: Teleoperators and Virtual Environments, 10(3), 282-297. doi:10.1162/105474601300343612Loomis, J. M. (1992). Distal Attribution and Presence. Presence: Teleoperators and Virtual Environments, 1(1), 113-119. doi:10.1162/pres.1992.1.1.113Mellet, E., Laou, L., Petit, L., Zago, L., Mazoyer, B., & Tzourio-Mazoyer, N. (2009). Impact of the virtual reality on the neural representation of an environment. Human Brain Mapping, 31(7), 1065-1075. doi:10.1002/hbm.20917Mishkin, M., & Ungerleider, L. G. (1982). Contribution of striate inputs to the visuospatial functions of parieto-preoccipital cortex in monkeys. Behavioural Brain Research, 6(1), 57-77. doi:10.1016/0166-4328(82)90081-xMraz, R., Hong, J., Quintin, G., Staines, W. R., McIlroy, W. E., Zakzanis, K. K., & Graham, S. J. (2003). A Platform for Combining Virtual Reality Experiments with Functional Magnetic Resonance Imaging. CyberPsychology & Behavior, 6(4), 359-368. doi:10.1089/109493103322278736Ochsner, K. N., Bunge, S. A., Gross, J. J., & Gabrieli, J. D. E. (2002). Rethinking Feelings: An fMRI Study of the Cognitive Regulation of Emotion. Journal of Cognitive Neuroscience, 14(8), 1215-1229. doi:10.1162/089892902760807212Oldfield, R. C. (1971). The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia, 9(1), 97-113. doi:10.1016/0028-3932(71)90067-4Owen, A. M., Downes, J. J., Sahakian, B. J., Polkey, C. E., & Robbins, T. W. (1990). Planning and spatial working memory following frontal lobe lesions in man. Neuropsychologia, 28(10), 1021-1034. doi:10.1016/0028-3932(90)90137-dPerani, D., Fazio, F., Borghese, N. A., Tettamanti, M., Ferrari, S., Decety, J., & Gilardi, M. C. (2001). Different Brain Correlates for Watching Real and Virtual Hand Actions. NeuroImage, 14(3), 749-758. doi:10.1006/nimg.2001.0872Petrides, M. (2000). The role of the mid-dorsolateral prefrontal cortex in working memory. Experimental Brain Research, 133(1), 44-54. doi:10.1007/s002210000399Pine, D. S., Grun, J., Maguire, E. A., Burgess, N., Zarahn, E., Koda, V., … Bilder, R. M. (2002). Neurodevelopmental Aspects of Spatial Navigation: A Virtual Reality fMRI Study. NeuroImage, 15(2), 396-406. doi:10.1006/nimg.2001.0988Riva, G., Waterworth, J. A., Waterworth, E. L., & Mantovani, F. (2011). From intention to action: The role of presence. New Ideas in Psychology, 29(1), 24-37. doi:10.1016/j.newideapsych.2009.11.002Rey, B., Alcañiz, M., Tembl, J., & Parkhutik, V. (2009). Brain activity and presence: a preliminary study in different immersive conditions using transcranial Doppler monitoring. Virtual Reality, 14(1), 55-65. doi:10.1007/s10055-009-0141-2Sanchez-Vives, M. V., & Slater, M. (2005). From presence to consciousness through virtual reality. Nature Reviews Neuroscience, 6(4), 332-339. doi:10.1038/nrn1651Scheibe, C., Wartenburger, I., Wüstenberg, T., Kathmann, N., Villringer, A., & Heekeren, H. R. (2006). Neural correlates of the interaction between transient and sustained processes: A mixed blocked/event-related fMRI study. Human Brain Mapping, 27(7), 545-551. doi:10.1002/hbm.20199Schuemie, M. J., van der Straaten, P., Krijn, M., & van der Mast, C. A. P. G. (2001). Research on Presence in Virtual Reality: A Survey. CyberPsychology & Behavior, 4(2), 183-201. doi:10.1089/109493101300117884Smith, S. M. (2004). Overview of fMRI analysis. The British Journal of Radiology, 77(suppl_2), S167-S175. doi:10.1259/bjr/33553595Usoh, M., Catena, E., Arman, S., & Slater, M. (2000). Using Presence Questionnaires in Reality. Presence: Teleoperators and Virtual Environments, 9(5), 497-503. doi:10.1162/105474600566989Vanni, S., Tanskanen, T., Seppa, M., Uutela, K., & Hari, R. (2001). Coinciding early activation of the human primary visual cortex and anteromedial cuneus. Proceedings of the National Academy of Sciences, 98(5), 2776-2780. doi:10.1073/pnas.041600898Wolf, U., Rapoport, M. J., & Schweizer, T. A. (2009). Evaluating the Affective Component of the Cerebellar Cognitive Affective Syndrome. Journal of Neuropsychiatry, 21(3), 245-253. doi:10.1176/appi.neuropsych.21.3.245Zahorik, P., & Jenison, R. L. (1998). Presence as Being-in-the-World. Presence: Teleoperators and Virtual Environments, 7(1), 78-89. doi:10.1162/10547469856554

    Self-regulation of SMR power led to an enhancement of functional connectivity of somatomotor cortices in fibromyalgia patients

    No full text
    [eng] Neuroimaging studies have demonstrated that altered activity in somatosensory and motor cortices play a key role in pain chronification. Neurofeedback training of sensorimotor rhythm (SMR) is a tool which allow individuals to self-modulate their brain activity and to produce significant changes over somatomotor brain areas. Several studies have further shown that neurofeedback training may reduce pain and other pain-related symptoms in chronic pain patients. The goal of the present study was to analyze changes in SMR power and brain functional connectivity of the somatosensory and motor cortices elicited by neurofeedback task designed to both synchronize and desynchronize the SMR power over motor and somatosensory areas in fibromyalgia patients. Seventeen patients were randomly assigned to the SMR training (n = 9) or to a sham protocol (n = 8). All participants were trained during 6 sessions, and fMRI and EEG power elicited by synchronization and desynchronization trials were analyzed. In the SMR training group, four patients achieved the objective of SMR modulation in more than 70% of the trials from the second training session (good responders), while five patients performed the task at the chance level (bad responders). Good responders to the neurofeedback training significantly reduced pain and increased both SMR power modulation and functional connectivity of motor and somatosensory related areas during the last neurofeedback training session, whereas no changes in brain activity or pain were observed in bad responders or participants in the sham group. In addition, we observed that good responders were characterized by reduced impact of fibromyalgia and pain symptoms, as well as by increased levels of health-related quality of life during the pre-training sessions. In summary, the present study revealed that neurofeedback training of SMR elicited significant brain changes in somatomotor areas leading to a significant reduction of pain in fibromyalgia patients. In this sense, our research provide evidence that neurofeedback training is a promising tool for a better understanding of brain mechanisms involved in pain chronification

    The Neural Substrate of Reward Anticipation in Health : A Meta-Analysis of fMRI Findings in the Monetary Incentive Delay Task

    No full text
    The monetary incentive delay task breaks down reward processing into discrete stages for fMRI analysis. Here we look at anticipation of monetary gain and loss contrasted with neutral anticipation. We meta-analysed data from 15 original whole-brain group maps (n = 346) and report extensive areas of relative activation and deactivation throughout the whole brain. For both anticipation of gain and loss we report robust activation of the striatum, activation of key nodes of the putative salience network, including anterior cingulate and anterior insula, and more complex patterns of activation and deactivation in the central executive and default networks. On between-group comparison, we found significantly greater relative deactivation in the left inferior frontal gyrus associated with incentive valence. This meta-analysis provides a robust whole-brain map of a reward anticipation network in the healthy human brain

    The Neural Substrate of Reward Anticipation in Health: A Meta-Analysis of fMRI Findings in the Monetary Incentive Delay Task

    No full text
    The monetary incentive delay task breaks down reward processing into discrete stages for fMRI analysis. Here we look at anticipation of monetary gain and loss contrasted with neutral anticipation. We meta-analysed data from 15 original whole-brain group maps (n = 346) and report extensive areas of relative activation and deactivation throughout the whole brain. For both anticipation of gain and loss we report robust activation of the striatum, activation of key nodes of the putative salience network, including anterior cingulate and anterior insula, and more complex patterns of activation and deactivation in the central executive and default networks. On between-group comparison, we found significantly greater relative deactivation in the left inferior frontal gyrus associated with incentive valence. This meta-analysis provides a robust whole-brain map of a reward anticipation network in the healthy human brain
    corecore