{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:21:12Z","timestamp":1787026872981,"version":"build-2736575974"},"reference-count":66,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T00:00:00Z","timestamp":1655164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Hum. Neurosci."],"abstract":"<jats:p>Lifestyle interventions such as exercise and mindfulness training have the potential to ameliorate mental health symptoms and restore dysregulated intrinsic connectivity network (ICN) dynamics, seen in many psychopathologies. Multiple lifestyle interventions, in combination, may interact synergistically for enhanced benefits. While the impacts of lifestyle interventions on subjective measures of mood are well-documented, their impacts on ICN dynamics are not well-established. In this study, we assessed the validity of EEG-derived measures of ICN dynamics as potential markers of mood disorders, by tracking ICN dynamics and mood symptoms through the course of a longitudinal exercise intervention. Specifically, we investigated the separate and combined effects of aerobic exercise and mindfulness-like neurofeedback training on task-linked ICN dynamics of the default mode network (DMN), central executive network (CEN), and salience network (SN). Participants were assigned pseudo-randomly into four experimental conditions\u2014Control, Running, Neurofeedback, and Combined, performing the corresponding intervention for 16 sessions across 8 weeks. Intervention-linked changes in ICN dynamics were studied using EEG-based neuroimaging scans before and after the 8-week intervention, during which participants performed multiple blocks of autobiographical memory recall (AM) and working memory (WM) trials, designed to activate the DMN and CEN, respectively, and to activate the SN in conjunction with the task-appropriate network. The EEG-based features for classification of the three core networks had been identified in our prior research from simultaneously recorded EEG and fMRI during the same AM and WM tasks. We categorized participants as \u201cresponders\u201d or \u201cnon-responders\u201d based on whether the exercise intervention increased their aerobic capacity (VO2-max) (Running\/Combined group), and\/or neurofeedback increased the percentage time spent in the calm mindfulness state (Neurofeedback\/Combined group). In responders, compared to each intervention alone, the combined exercise-neurofeedback intervention resulted in a more healthy CEN-SN synchrony pattern. Interestingly, non-responders to neurofeedback exhibited a maladaptive pattern of persistent, task-inappropriate DMN-SN synchrony which we speculate could be linked to depressive rumination. Furthermore, the CEN-SN synchrony at baseline predicted NFB response with up to 80% accuracy, demonstrating the potential utility of such network-based biomarkers in personalizing intervention plans.<\/jats:p>","DOI":"10.3389\/fnhum.2022.838614","type":"journal-article","created":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T06:55:49Z","timestamp":1655189749000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Combined Aerobic Exercise and Neurofeedback Lead to Improved Task-Relevant Intrinsic Network Synchrony"],"prefix":"10.3389","volume":"16","author":[{"given":"Saurabh Bhaskar","family":"Shaw","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yarden","family":"Levy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Allison","family":"Mizzi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabrielle","family":"Herman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Margaret C.","family":"McKinnon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer J.","family":"Heisz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suzanna","family":"Becker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,6,14]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1460","DOI":"10.1016\/j.neuroimage.2004.08.007","article-title":"Characterizing spatial and temporal features of autobiographical memory retrieval networks: a partial least squares approach","volume":"23","author":"Addis","year":"2004","journal-title":"NeuroImage"},{"key":"B2","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.neuroscience.2016.12.050","article-title":"Can we predict who will respond to neurofeedback? A review of the inefficacy problem and existing predictors for successful eeg neurofeedback learning","volume":"378","author":"Alkoby","year":"2018","journal-title":"Neuroscience"},{"key":"B3","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1111\/nyas.12360","article-title":"The default network and self-generated thought: component processes, dynamic control, and clinical relevance","volume":"1316","author":"Andrews-Hanna","year":"2014","journal-title":"Ann. N.Y. Acad. Sci"},{"key":"B4","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1016\/j.tics.2012.10.008","article-title":"The role of default network deactivation in cognition and disease","volume":"16","author":"Anticevic","year":"2012","journal-title":"Trends Cogn. Sci"},{"key":"B5","doi-asserted-by":"publisher","first-page":"2645","DOI":"10.1162\/jocn_a_00667","article-title":"Aerobic fitness predicts relational memory but not item memory performance in healthy young adults","volume":"26","author":"Baym","year":"2014","journal-title":"J. Cogn. Neurosci"},{"key":"B6","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1186\/s40359-016-0168-6","article-title":"Attentional and affective consequences of technology supported mindfulness training: a randomised, active control, efficacy trial","volume":"4","author":"Bhayee","year":"2016","journal-title":"BMC Psychol"},{"key":"B7","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1089\/brain.2020.0848","article-title":"Reconfiguration of EEG microstate networks after breath-focused digital meditation training","volume":"11","author":"Brechet","year":"2021","journal-title":"Brain Connect"},{"key":"B8","doi-asserted-by":"publisher","first-page":"958","DOI":"10.1176\/appi.ajp.2009.09070981","article-title":"Treatment of youth depression","volume":"166","author":"Campo","year":"2009","journal-title":"Am. J. Psychiatry"},{"key":"B9","doi-asserted-by":"publisher","first-page":"156","DOI":"10.3389\/fnhum.2015.00156","article-title":"Antecedent acute cycling exercise affects attention control: an ERP study using attention network test","volume":"9","author":"Chang","year":"2015","journal-title":"Front. Hum. Neurosci"},{"key":"B10","doi-asserted-by":"publisher","first-page":"19944","DOI":"10.1073\/pnas.1311772110","article-title":"Causal interactions between fronto-parietal central executive and default-mode networks in humans","volume":"110","author":"Chen","year":"2013","journal-title":"Proc. Natl. Acad. Sci. U.S.A"},{"key":"B11","volume-title":"Public Health in the Future","year":"2014"},{"key":"B12","doi-asserted-by":"publisher","first-page":"1239","DOI":"10.1017\/S0033291709991747","article-title":"A systematic review of neurobiological and clinical features of mindfulness meditations","volume":"40","author":"Chiesa","year":"2010","journal-title":"Psychol. Med"},{"key":"B13","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/S0149-7634(01)00063-X","article-title":"Brain imaging of the central executive component of working memory","volume":"26","author":"Collette","year":"2002","journal-title":"Neurosci. Biobehav. Rev"},{"key":"B14","doi-asserted-by":"publisher","first-page":"CD004366","DOI":"10.1002\/14651858.CD004366.pub6","article-title":"Exercise for depression","volume":"4","author":"Cooney","year":"2013","journal-title":"Cochrane Database Syst. Rev"},{"key":"B15","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1016\/j.neuropharm.2012.07.027","article-title":"Training your brain: do mental and physical (MAP) training enhance cognition through the process of neurogenesis in the hippocampus?","volume":"64","author":"Curlik","year":"2013","journal-title":"Neuropharmacology"},{"key":"B16","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1093\/cercor\/bhm048","article-title":"The spatiotemporal dynamics of autobiographical memory: neural correlates of recall, emotional intensity, and reliving","volume":"18","author":"Daselaar","year":"2008","journal-title":"Cereb. Cortex"},{"key":"B17","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","article-title":"EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis","volume":"134","author":"Delorme","year":"2004","journal-title":"J. Neurosci. Methods"},{"key":"B18","doi-asserted-by":"publisher","first-page":"66","DOI":"10.3389\/fnins.2013.00066","article-title":"Adult hippocampal neurogenesis reduces memory interference in humans: opposing effects of aerobic exercise and depression","volume":"7","author":"D\u00e9ry","year":"2013","journal-title":"Front. Neurosci"},{"key":"B19","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.brainres.2016.08.015","article-title":"Mental and physical skill training increases neurogenesis via cell survival in the adolescent hippocampus","volume":"1654","author":"DiFeo","year":"2017","journal-title":"Brain Res"},{"key":"B20","doi-asserted-by":"publisher","first-page":"461","DOI":"10.3389\/fnhum.2015.00461","article-title":"Mindfulness is associated with intrinsic functional connectivity between default mode and salience networks","volume":"9","author":"Doll","year":"2015","journal-title":"Front. Hum. Neurosci"},{"key":"B21","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1016\/j.bbi.2009.11.018","article-title":"Dynamics of telomerase activity in response to acute psychological stress","volume":"24","author":"Epel","year":"2010","journal-title":"Brain Behav. Immun"},{"key":"B22","doi-asserted-by":"publisher","first-page":"3017","DOI":"10.1073\/pnas.1015950108","article-title":"Exercise training increases size of hippocampus and improves memory","volume":"108","author":"Erickson","year":"2011","journal-title":"Proc. Natl. Acad. Sci. U.S.A"},{"key":"B23","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/s10484-014-9257-6","article-title":"The effects of individual upper alpha neurofeedback in ADHD: an open-label pilot study","volume":"39","author":"Escolano","year":"2014","journal-title":"Appl. Psychophysiol. Biofeedback"},{"key":"B24","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.concog.2016.01.005","article-title":"Mindfulness meditation practice and executive functioning: breaking down the benefit","volume":"40","author":"Gallant","year":"2016","journal-title":"Conscious. Cogn"},{"key":"B25","volume-title":"The Run Walk Run R Method, 2nd Revised Edn","author":"Galloway","year":"2016"},{"key":"B26","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.neulet.2016.01.001","article-title":"Entrainment of chaotic activities in brain and heart during MBSR mindfulness training","volume":"616","author":"Gao","year":"2016","journal-title":"Neurosci. Lett"},{"key":"B27","doi-asserted-by":"publisher","first-page":"e111489","DOI":"10.1371\/journal.pone.0111489","article-title":"Three minutes of all-out intermittent exercise per week increases skeletal muscle oxidative capacity and improves cardiometabolic health","volume":"9","author":"Gillen","year":"2014","journal-title":"PLoS ONE"},{"key":"B28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep44468","article-title":"Patterns of default mode network deactivation in obsessive compulsive disorder","volume":"7","author":"Goncalves","year":"2017","journal-title":"Sci. Rep"},{"key":"B29","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1037\/a0025083","article-title":"Emotional appraisal is influenced by cardiac afferent information","volume":"12","author":"Gray","year":"2012","journal-title":"Emotion"},{"key":"B30","doi-asserted-by":"publisher","first-page":"73","DOI":"10.3758\/s13423-012-0345-4","article-title":"Benefits of regular aerobic exercise for executive functioning in healthy populations","volume":"20","author":"Guiney","year":"2013","journal-title":"Psychon. Bull. Rev"},{"key":"B31","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.biopsych.2015.02.020","article-title":"Depressive rumination, the default-mode network, and the dark matter of clinical neuroscience","volume":"78","author":"Hamilton","year":"2015","journal-title":"Biol. Psychiatry"},{"key":"B32","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.pscychresns.2010.08.006","article-title":"Meditation-gray matter","volume":"191","author":"Holzel","year":"2011","journal-title":"Psychiatry Res"},{"key":"B33","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1016\/j.psyneuen.2010.09.010","article-title":"Intensive meditation training, immune cell telomerase activity, and psychological mediators","volume":"36","author":"Jacobs","year":"2011","journal-title":"Psychoneuroendocrinology"},{"key":"B34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1136\/bmjsem-2017-000314","article-title":"Effects of a 12-week running programme in youth and adults with complex mood disorders","volume":"4","author":"Keating","year":"2018","journal-title":"BMJ Open Sport Exerc. Med"},{"key":"B35","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.neuroimage.2011.02.034","article-title":"Impact of mindfulness-based stress reduction training on intrinsic brain connectivity","volume":"56","author":"Kilpatrick","year":"2011","journal-title":"NeuroImage"},{"key":"B36","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1002\/da.22481","article-title":"Altered default mode network (DMN) resting state functional connectivity following a mindfulness-based exposure therapy for posttraumatic stress disorder (PTSD) in combat veterans of Afghanistan and Iraq","volume":"33","author":"King","year":"2016","journal-title":"Depress. Anxiety"},{"key":"B37","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1111\/acps.12229","article-title":"Plastic modulation of PTSD resting-state networks and subjective wellbeing by EEG neurofeedback","volume":"130","author":"Kluetsch","year":"2014","journal-title":"Acta Psychiatr. Scand"},{"key":"B38","doi-asserted-by":"publisher","first-page":"745","DOI":"10.1016\/j.neuroimage.2011.06.088","article-title":"Meditation training increases brain efficiency in an attention task","volume":"59","author":"Kozasa","year":"2012","journal-title":"NeuroImage"},{"key":"B39","doi-asserted-by":"publisher","first-page":"634147","DOI":"10.3389\/fnins.2021.634147","article-title":"Using muse: rapid mobile assessment of brain performance","volume":"15","author":"Krigolson","year":"2021","journal-title":"Front. Neurosci"},{"key":"B40","doi-asserted-by":"publisher","first-page":"109","DOI":"10.3389\/fnins.2017.00109","article-title":"Choosing MUSE: validation of a low-cost, portable EEG system for ERP research","volume":"11","author":"Krigolson","year":"2017","journal-title":"Front. Neurosci"},{"key":"B41","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.jad.2018.12.063","article-title":"Examining a training effect on the state anxiety response to an acute bout of exercise in low and high anxious individuals","volume":"247","author":"Lucibello","year":"2019","journal-title":"J. Affect. Disord"},{"key":"B42","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1016\/j.tics.2011.08.003","article-title":"Large-scale brain networks and psychopathology: a unifying triple network model","volume":"15","author":"Menon","year":"2011","journal-title":"Trends Cogn. Sci"},{"key":"B43","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1139\/apnm-2020-0855","article-title":"Heterogeneity and incidence of non-response for changes in cardiorespiratory fitness following time-efficient sprint interval exercise training","volume":"46","author":"Metcalfe","year":"2021","journal-title":"Appl. Physiol. Nutr. Metab"},{"key":"B44","doi-asserted-by":"publisher","first-page":"1876","DOI":"10.1002\/hipo.22023","article-title":"Aerobic fitness enhances relational memory in preadolescent children: the FITKids randomized control trial","volume":"22","author":"Monti","year":"2012","journal-title":"Hippocampus"},{"key":"B45","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1016\/j.nicl.2016.07.006","article-title":"Alpha oscillation neurofeedback modulates amygdala complex connectivity and arousal in posttraumatic stress disorder","volume":"12","author":"Nicholson","year":"2016","journal-title":"NeuroImage"},{"key":"B46","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1002\/hbm.20131","article-title":"N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies","volume":"25","author":"Owen","year":"2005","journal-title":"Hum. Brain Mapp"},{"key":"B47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s40279-018-01041-1","article-title":"Do non-responders to exercise exist-and if so, what should we do about them?","volume":"49","author":"Pickering","year":"2019","journal-title":"Sports Med"},{"key":"B48","doi-asserted-by":"publisher","first-page":"229","DOI":"10.3389\/fnhum.2010.00229","article-title":"Cardiorespiratory fitness and attentional control in the aging brain","volume":"4","author":"Prakash","year":"2011","journal-title":"Front. Hum. Neurosci"},{"key":"B49","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1016\/j.neuroimage.2012.09.046","article-title":"Mind over chatter: plastic up-regulation of the fMRI salience network directly after EEG neurofeedback","volume":"65","author":"Ros","year":"2013","journal-title":"NeuroImage"},{"key":"B50","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.1136\/bjsports-2018-100328","article-title":"Precision exercise medicine: understanding exercise response variability","volume":"53","author":"Ross","year":"2019","journal-title":"Br. J. Sports Med"},{"key":"B51","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/j.neuroimage.2017.03.061","article-title":"Aerobic fitness, hippocampal viscoelasticity, and relational memory performance","volume":"153","author":"Schwarb","year":"2017","journal-title":"NeuroImage"},{"key":"B52","doi-asserted-by":"publisher","first-page":"105725","DOI":"10.1016\/j.bandc.2021.105725","article-title":"Dynamic task-linked switching between brain networks-a tri-network perspective","volume":"151","author":"Shaw","year":"","journal-title":"Brain Cogn"},{"key":"B53","doi-asserted-by":"crossref","DOI":"10.1101\/2021.06.18.449078","article-title":"Tracking the brain's intrinsic connectivity networks in EEG","volume-title":"bioRxiv [Preprint]","author":"Shaw","year":""},{"key":"B54","doi-asserted-by":"publisher","first-page":"211","DOI":"10.3389\/fnins.2018.00211","article-title":"MAP training my brain: meditation plus aerobic exercise lessens trauma of sexual violence more than either activity alone","volume":"12","author":"Shors","year":"2018","journal-title":"Front. Neurosci"},{"key":"B55","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.nlm.2014.08.012","article-title":"Mental and Physical (MAP) Training: a neurogenesis-inspired intervention that enhances health in humans","volume":"115","author":"Shors","year":"2014","journal-title":"Neurobiol. Learn. Mem"},{"key":"B56","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1038\/nrn.2016.164","article-title":"Closed-loop brain training: the science of neurofeedback","volume":"18","author":"Sitaram","year":"2016","journal-title":"Nat. Rev. Neurosci"},{"key":"B57","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1006\/cogp.1997.0658","article-title":"Working memory: a view from neuroimaging","volume":"33","author":"Smith","year":"1997","journal-title":"Cogn. Psychol"},{"key":"B58","doi-asserted-by":"publisher","first-page":"2189","DOI":"10.1016\/j.neuropsychologia.2006.05.023","article-title":"The functional neuroanatomy of autobiographical memory: a meta-analysis","volume":"44","author":"Svoboda","year":"2006","journal-title":"Neuropsychologia"},{"key":"B59","doi-asserted-by":"publisher","first-page":"3600","DOI":"10.1093\/cercor\/bhx232","article-title":"Aerobic fitness explains individual differences in the functional brain connectome of healthy young adults","volume":"28","author":"Talukdar","year":"2018","journal-title":"Cereb. Cortex"},{"key":"B60","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.cortex.2015.10.024","article-title":"The self-regulating brain and neurofeedback: experimental science and clinical promise","volume":"74","author":"Thibault","year":"2016","journal-title":"Cortex"},{"key":"B61","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1016\/S2215-0366(19)30179-8","article-title":"The association between antidepressant treatment and brain connectivity in two double-blind, placebo-controlled clinical trials: a treatment mechanism study","volume":"6","author":"Wang","year":"2019","journal-title":"Lancet Psychiatry"},{"key":"B62","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1249\/MSS.0000000000001842","article-title":"Incidence of VO2max responders to personalized versus standardized exercise prescription","volume":"51","author":"Weatherwax","year":"2019","journal-title":"Med. Sci. Sports Exerc"},{"key":"B63","doi-asserted-by":"publisher","first-page":"102301","DOI":"10.1016\/j.nicl.2020.102301","article-title":"Predictors of neurofeedback training outcome: a systematic review","volume":"27","author":"Weber","year":"2020","journal-title":"NeuroImage"},{"key":"B64","volume-title":"Injuries and Violence: The Facts","year":"2014"},{"key":"B65","doi-asserted-by":"publisher","first-page":"376","DOI":"10.3389\/fnhum.2019.00376","article-title":"Alterations of regional homogeneity and functional connectivity following short-term mindfulness meditation in healthy volunteers","volume":"13","author":"Xiao","year":"2019","journal-title":"Front. Hum. Neurosci"},{"key":"B66","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.neuroimage.2019.03.074","article-title":"Meta-analyses of the n-back working memory task: fMRI evidence of age-related changes in prefrontal cortex involvement across the adult lifespan","volume":"196","author":"Yaple","year":"2019","journal-title":"NeuroImage"}],"container-title":["Frontiers in Human Neuroscience"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fnhum.2022.838614\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T06:55:53Z","timestamp":1655189753000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fnhum.2022.838614\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,14]]},"references-count":66,"alternative-id":["10.3389\/fnhum.2022.838614"],"URL":"https:\/\/doi.org\/10.3389\/fnhum.2022.838614","relation":{},"ISSN":["1662-5161"],"issn-type":[{"value":"1662-5161","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,14]]},"article-number":"838614"}}