{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T13:49:16Z","timestamp":1725889756937},"reference-count":53,"publisher":"MIT Press - Journals","issue":"8","content-domain":{"domain":["direct.mit.edu"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,1]]},"abstract":"Abstract<\/jats:title>\n Little is known about language impairment in brain tumor patients, especially in the presurgical phase. Impairment in this population may be missed because standardized tests fail to capture mild deficits. Additionally, neuroplasticity may also contribute to minimizing language impairments. We examined 14 presurgical patients with brain tumors in the language-dominant hemisphere using magnetoencephalography (MEG) while they performed a demanding picture\u2013word interference task, that is, participants name pictures while ignoring distractor words. Brain tumor patients had behavioral picture-naming effects typically observed in healthy controls. The MEG responses also showed the expected pattern in its timing and amplitude modulation typical of controls, but with an altered spatial distribution of right hemisphere sources, in contrast to the classic left hemisphere source found in healthy individuals. This finding supports tumor-induced neural reorganization of language before surgery. Crucially, the use of electrophysiology allowed us to show the \u201csame\u201d neuronal response in terms of its timing and amplitude modulation in the right hemisphere, supporting the hypothesis that the processes performed by the right hemisphere following reorganization are similar in nature to those (previously) performed by the left hemisphere. We also identified one participant with a fast-growing tumor affecting large parts of critical language areas and underlying ventral and dorsal white matter tracts who showed a deviant pattern in behavior and in the MEG event-related responses. In conclusion, our results attest to the validity of using a demanding picture-naming task in presurgical patients and provide evidence for neuroplasticity, with the right hemisphere performing similar computations as the left hemisphere typically performs.<\/jats:p>","DOI":"10.1162\/jocn_a_01561","type":"journal-article","created":{"date-parts":[[2020,4,14]],"date-time":"2020-04-14T13:55:46Z","timestamp":1586872546000},"page":"1497-1507","update-policy":"http:\/\/dx.doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":10,"title":["Language Neuroplasticity in Brain Tumor Patients Revealed by Magnetoencephalography"],"prefix":"10.1162","volume":"32","author":[{"given":"Vit\u00f3ria","family":"Piai","sequence":"first","affiliation":[{"name":"Radboud University, Nijmegen, the Netherlands"},{"name":"Radboud University Medical Center, Nijmegen, the Netherlands"}]},{"given":"Elke","family":"De Witte","sequence":"additional","affiliation":[{"name":"Free University of Brussels"},{"name":"University of California, San Francisco"}]},{"given":"Joanna","family":"Sierpowska","sequence":"additional","affiliation":[{"name":"Radboud University, Nijmegen, the Netherlands"},{"name":"Radboud University Medical Center, Nijmegen, the Netherlands"}]},{"given":"Xiaochen","family":"Zheng","sequence":"additional","affiliation":[{"name":"Radboud University, Nijmegen, the Netherlands"}]},{"given":"Leighton B.","family":"Hinkley","sequence":"additional","affiliation":[{"name":"University of California, San Francisco"}]},{"given":"Danielle","family":"Mizuiri","sequence":"additional","affiliation":[{"name":"University of California, San Francisco"}]},{"given":"Robert T.","family":"Knight","sequence":"additional","affiliation":[{"name":"University of California, Berkeley"}]},{"given":"Mitchel S.","family":"Berger","sequence":"additional","affiliation":[{"name":"University of California, San Francisco"}]},{"given":"Srikantan S.","family":"Nagarajan","sequence":"additional","affiliation":[{"name":"University of California, San Francisco"}]}],"member":"281","published-online":{"date-parts":[[2020,8,1]]},"reference":[{"key":"2022042815225912500_bib1","doi-asserted-by":"crossref","unstructured":"Anderson, S. W., Damasio, H., & Tranel, D. (1990). Neuropsychological impairments associated with lesions caused by tumor or stroke. Archives of Neurology, 47, 397\u2013405.","DOI":"10.1001\/archneur.1990.00530040039017"},{"key":"2022042815225912500_bib2","doi-asserted-by":"crossref","unstructured":"Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59, 390\u2013412.","DOI":"10.1016\/j.jml.2007.12.005"},{"key":"2022042815225912500_bib3","doi-asserted-by":"crossref","unstructured":"Bates, D., M\u00e4chler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67, 1\u201348.","DOI":"10.18637\/jss.v067.i01"},{"key":"2022042815225912500_bib4","doi-asserted-by":"crossref","unstructured":"Brodeur, M. B., Dionne-Dostie, E., Montreuil, T., & Lepage, M. (2010). The bank of standardized stimuli (BOSS), a new set of 480 normative photos of objects to be used as visual stimuli in cognitive research. PLoS One, 5, e10773.","DOI":"10.1371\/journal.pone.0010773"},{"key":"2022042815225912500_bib5","doi-asserted-by":"crossref","unstructured":"Brownsett, S. L. E., Ramajoo, K., Copland, D., McMahon, K. L., Robinson, G., Drummond, K., et al (2019). Language deficits following dominant hemisphere tumour resection are significantly underestimated by syndrome-based aphasia assessments. Aphasiology, 33, 1163\u20131181.","DOI":"10.1080\/02687038.2019.1614760"},{"key":"2022042815225912500_bib7","doi-asserted-by":"crossref","unstructured":"Crawford, J. R., Howell, D. C., & Garthwaite, P. H. (1998). Payne and Jones revisited: Estimating the abnormality of test score differences using a modified paired samples t test. Journal of Clinical and Experimental Neuropsychology, 20, 898\u2013905.","DOI":"10.1076\/jcen.20.6.898.1112"},{"key":"2022042815225912500_bib8","doi-asserted-by":"crossref","unstructured":"Damian, M. F., & Bowers, J. S. (2003). Locus of semantic interference in picture\u2013word interference tasks. Psychonomic Bulletin & Review, 10, 111\u2013117.","DOI":"10.3758\/BF03196474"},{"key":"2022042815225912500_bib9","doi-asserted-by":"crossref","unstructured":"de Zubicaray, G. I., & Piai, V. (2019). Investigating the spatial and temporal components of speechproduction. In G. I.de Zubicaray & N. O.Schiller (Eds.), The Oxford handbook of neurolinguistics. Oxford, United Kingdom: Oxford University Press.","DOI":"10.1093\/oxfordhb\/9780190672027.001.0001"},{"key":"2022042815225912500_bib53","doi-asserted-by":"crossref","unstructured":"De Witte, E., Satoer, D., Robert, E., Colle, H., Verheyen, S., Visch-Brink, E., et al (2015). The Dutch linguistic intraoperative protocol: A valid linguistic approach to awake brain surgery. Brain and Language, 140, 35\u201348.","DOI":"10.1016\/j.bandl.2014.10.011"},{"key":"2022042815225912500_bib10","doi-asserted-by":"crossref","unstructured":"De Witte, E., Van Hecke, W., Dua, G., De Surgeloose, D., Moens, M., & Mari\u00ebn, P. (2014). Atypical cerebral language dominance in a right-handed patient: An anatomoclinical study. Clinical Neurology and Neurosurgery, 117, 12\u201321.","DOI":"10.1016\/j.clineuro.2013.11.014"},{"key":"2022042815225912500_bib11","doi-asserted-by":"crossref","unstructured":"Desmurget, M., Bonnetblanc, F., & Duffau, H. (2007). Contrasting acute and slow-growing lesions: A new door to brain plasticity. Brain, 130, 898\u2013914.","DOI":"10.1093\/brain\/awl300"},{"key":"2022042815225912500_bib12","doi-asserted-by":"crossref","unstructured":"Dronkers, N. F., Wilkins, D. P., Van Valin, R. D., Redfern, B. B., & Jaeger, J. J. (2004). Lesion analysis of the brain areas involved in language comprehension. Cognition, 92, 145\u2013177.","DOI":"10.1016\/j.cognition.2003.11.002"},{"key":"2022042815225912500_bib13","doi-asserted-by":"crossref","unstructured":"Duffau, H.\n (2007). Contribution of cortical and subcortical electrostimulation in brain glioma surgery: Methodological and functional considerations. Clinical Neurophysiology, 37, 373\u2013382.","DOI":"10.1016\/j.neucli.2007.09.003"},{"key":"2022042815225912500_bib14","doi-asserted-by":"crossref","unstructured":"Duffau, H.\n (2014). The huge plastic potential of adult brain and the role of connectomics: New insights provided by serial mappings in glioma surgery. Cortex, 58, 325\u2013337.","DOI":"10.1016\/j.cortex.2013.08.005"},{"key":"2022042815225912500_bib15","doi-asserted-by":"crossref","unstructured":"Findlay, A. M., Ambrose, J. B., Cahn-Weiner, D. A., Houde, J. F., Honma, S., Hinkley, L. B., et al (2012). Dynamics of hemispheric dominance for language assessed by magnetoencephalographic imaging. Annals of Neurology, 71, 668\u2013686.","DOI":"10.1002\/ana.23530"},{"key":"2022042815225912500_bib16","doi-asserted-by":"crossref","unstructured":"Foulon, C., Cerliani, L., Kinkingn\u00e9hun, S., Levy, R., Rosso, C., Urbanski, M., et al (2018). Advanced lesion symptom mapping analyses and implementation as BCBtoolkit. GigaScience, 7, 1\u201317.","DOI":"10.1093\/gigascience\/giy004"},{"key":"2022042815225912500_bib17","doi-asserted-by":"crossref","unstructured":"Glaser, W. R., & D\u00fcngelhoff, F. J. (1984). The time course of picture\u2013word interference. Journal of Experimental Psychology: Human Perception and Performance, 10, 640\u2013654.","DOI":"10.1037\/0096-1523.10.5.640"},{"key":"2022042815225912500_bib18","doi-asserted-by":"crossref","unstructured":"Griffis, J. C., Nenert, R., Allendorfer, J. B., & Szaflarski, J. P. (2017). Damage to white matter bottlenecks contributes to language impairments after left hemispheric stroke. Neuroimage: Clinical, 14, 552\u2013565.","DOI":"10.1016\/j.nicl.2017.02.019"},{"key":"2022042815225912500_bib19","doi-asserted-by":"crossref","unstructured":"Jung, T. P., Makeig, S., Humphries, C., Lee, T. W., McKeown, M. J., Iragui, V., et al (2000). Removing electroencephalographic artifacts by blind source separation. Psychophysiology, 37, 163\u2013178.","DOI":"10.1111\/1469-8986.3720163"},{"key":"2022042815225912500_bib20","doi-asserted-by":"crossref","unstructured":"Kong, N. W., Gibb, W. R., & Tate, M. C. (2016). Neuroplasticity: Insights from patients harboring gliomas. Neural Plasticity, 2016, 12.","DOI":"10.1155\/2016\/2365063"},{"key":"2022042815225912500_bib21","doi-asserted-by":"crossref","unstructured":"Krieg, S. M., Sollmann, N., Hauck, T., Ille, S., Foerschler, A., Meyer, B., et al (2013). Functional language shift to the right hemisphere in patients with language-eloquent brain tumors. PLoS One, 8, e75403.","DOI":"10.1371\/journal.pone.0075403"},{"key":"2022042815225912500_bib22","doi-asserted-by":"crossref","unstructured":"Kutas, M., & Federmeier, K. D. (2011). Thirty years and counting: Finding meaning in the N400 component of the event-related brain potential (ERP). Annual Review of Psychology, 62, 621\u2013647.","DOI":"10.1146\/annurev.psych.093008.131123"},{"key":"2022042815225912500_bib23","doi-asserted-by":"crossref","unstructured":"Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest package: Tests in linear mixed effects models. Journal of Statistical Software, 82, 1\u201326.","DOI":"10.18637\/jss.v082.i13"},{"key":"2022042815225912500_bib24","doi-asserted-by":"crossref","unstructured":"La Heij, W.\n (1988). Components of stroop-like interference in picture naming. Memory and Cognition, 16, 400\u2013410.","DOI":"10.3758\/BF03214220"},{"key":"2022042815225912500_bib25","doi-asserted-by":"crossref","unstructured":"Lau, E. F., Phillips, C., & Poeppel, D. (2008). A cortical network for semantics: (De)constructing the N400. Nature Reviews Neuroscience, 9, 920\u2013933.","DOI":"10.1038\/nrn2532"},{"key":"2022042815225912500_bib26","doi-asserted-by":"crossref","unstructured":"Maris, E., & Oostenveld, R. (2007). Nonparametric statistical testing of EEG- and MEG-data. Journal of Neuroscience Methods, 164, 177\u2013190.","DOI":"10.1016\/j.jneumeth.2007.03.024"},{"key":"2022042815225912500_bib27","doi-asserted-by":"crossref","unstructured":"Nolte, G.\n (2003). The magnetic lead field theorem in the quasi-static approximation and its use for magnetoencephalography forward calculation in realistic volume conductors. Physics in Medicine and Biology, 48, 3637\u20133652.","DOI":"10.1088\/0031-9155\/48\/22\/002"},{"key":"2022042815225912500_bib28","doi-asserted-by":"crossref","unstructured":"Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011). FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Computational Intelligence and Neuroscience, 2011, 9.","DOI":"10.1155\/2011\/156869"},{"key":"2022042815225912500_bib29","doi-asserted-by":"crossref","unstructured":"Piai, V., & Knight, R. T. (2018). Lexical selection with competing distractors: Evidence from left temporal lobe lesions. Psychonomic Bulletin & Review, 25, 710\u2013717.","DOI":"10.3758\/s13423-017-1301-0"},{"key":"2022042815225912500_bib30","doi-asserted-by":"crossref","unstructured":"Piai, V., Meyer, L., Dronkers, N. F., & Knight, R. T. (2017). Neuroplasticity of language in left-hemisphere stroke: Evidence linking subsecond electrophysiology and structural connections. Human Brain Mapping, 38, 3151\u20133162.","DOI":"10.1002\/hbm.23581"},{"key":"2022042815225912500_bib31","doi-asserted-by":"crossref","unstructured":"Piai, V., Ri\u00e8s, S. K., & Swick, D. (2016). Lesions to lateral prefrontal cortex impair lexical interference control in word production. Frontiers in Human Neuroscience, 9, 721.","DOI":"10.3389\/fnhum.2015.00721"},{"key":"2022042815225912500_bib32","doi-asserted-by":"crossref","unstructured":"Piai, V., Roelofs, A., Jensen, O., Schoffelen, J.-M., & Bonnefond, M. (2014). Distinct patterns of brain activity characterise lexical activation and competition in spoken word production. PLoS One, 9, e88674.","DOI":"10.1371\/journal.pone.0088674"},{"key":"2022042815225912500_bib6","unstructured":"R Core Team. (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna. Retrieved from https:\/\/www.r-project.org."},{"key":"2022042815225912500_bib33","doi-asserted-by":"crossref","unstructured":"Roelofs, A.\n (2003). Goal-referenced selection of verbal action: Modeling attentional control in the stroop task. Psychological Review, 110, 88\u2013125.","DOI":"10.1037\/0033-295X.110.1.88"},{"key":"2022042815225912500_bib34","doi-asserted-by":"crossref","unstructured":"Roelofs, A., & Piai, V. (2011). Attention demands of spoken word planning: A review. Frontiers in Psychology, 2, 307.","DOI":"10.3389\/fpsyg.2011.00307"},{"key":"2022042815225912500_bib35","doi-asserted-by":"crossref","unstructured":"Rofes, A., & Miceli, G. (2014). Language mapping with verbs and sentences in awake surgery: A review. Neuropsychology Review, 24, 185\u2013199.","DOI":"10.1007\/s11065-014-9258-5"},{"key":"2022042815225912500_bib36","doi-asserted-by":"crossref","unstructured":"Rojkova, K., Volle, E., Urbanski, M., Humbert, F., Dell'Acqua, F., & Thiebaut de Schotten, M. (2016). Atlasing the frontal lobe connections and their variability due to age and education: A spherical deconvolution tractography study. Brain Structure and Function, 221, 1751\u20131766.","DOI":"10.1007\/s00429-015-1001-3"},{"key":"2022042815225912500_bib37","doi-asserted-by":"crossref","unstructured":"Rorden, C., Karnath, H.-O., & Bonilha, L. (2007). Improving lesion-symptom mapping. Journal of Cognitive Neuroscience, 19, 1081\u20131088.","DOI":"10.1162\/jocn.2007.19.7.1081"},{"key":"2022042815225912500_bib38","doi-asserted-by":"crossref","unstructured":"R\u00f6sler, J., Niraula, B., Strack, V., Zdunczyk, A., Schilt, S., Savolainen, P., et al (2014). Language mapping in healthy volunteers and brain tumor patients with a novel navigated TMS system: Evidence of tumor-induced plasticity. Clinical Neurophysiology, 125, 526\u2013536.","DOI":"10.1016\/j.clinph.2013.08.015"},{"key":"2022042815225912500_bib39","doi-asserted-by":"crossref","unstructured":"Satoer, D., Vincent, A., Smits, M., Dirven, C., & Visch-brink, E. (2013). Spontaneous speech of patients with gliomas in eloquent areas before and early after surgery. Acta Neurochirurgica, 155, 685\u2013692.","DOI":"10.1007\/s00701-013-1638-8"},{"key":"2022042815225912500_bib40","doi-asserted-by":"crossref","unstructured":"Satoer, D., Visch-Brink, E., Dirven, C., & Vincent, A. (2016). Glioma surgery in eloquent areas: Can we preserve cognition?Acta Neurochirurgica, 158, 35\u201350.","DOI":"10.1007\/s00701-015-2601-7"},{"key":"2022042815225912500_bib41","doi-asserted-by":"crossref","unstructured":"Schwartz, M. F., Kimberg, D. Y., Walker, G. M., Faseyitan, O., Brecher, A., Dell, G. S., et al (2009). Anterior temporal involvement in semantic word retrieval: Voxel-based lesion-symptom mapping evidence from aphasia. Brain, 132, 3411\u20133427.","DOI":"10.1093\/brain\/awp284"},{"key":"2022042815225912500_bib42","doi-asserted-by":"crossref","unstructured":"Sierpowska, J., Gabarr\u00f3s, A., Fernandez-Coello, A., Camins, \u00c0., Casta\u00f1er, S., Juncadella, M., et al (2017). Words are not enough: Nonword repetition as an indicator of arcuate fasciculus integrity during brain tumor resection. Journal of Neurosurgery, 126, 435\u2013445.","DOI":"10.3171\/2016.2.JNS151592"},{"key":"2022042815225912500_bib43","doi-asserted-by":"crossref","unstructured":"Sierpowska, J., Gabarr\u00f3s, A., Fern\u00e1ndez-Coello, A., Camins, \u00c0., Casta\u00f1er, S., Juncadella, M., et al (2019). White matter pathways and semantic processing: Intrasurgical and lesion-symptom mapping evidence. Neuroimage: Clinical, 22, 101704.","DOI":"10.1016\/j.nicl.2019.101704"},{"key":"2022042815225912500_bib44","doi-asserted-by":"crossref","unstructured":"Suzuki, R., & Shimodaira, H. (2006). Pvclust: An R package for assessing the uncertainty in hierarchical clustering. Bioinformatics, 22, 1540\u20131542.","DOI":"10.1093\/bioinformatics\/btl117"},{"key":"2022042815225912500_bib45","doi-asserted-by":"crossref","unstructured":"Thiel, A., Habedank, B., Winhuisen, L., Herholz, K., Kessler, J., Haupt, W. F., et al (2005). Essential language function of the right hemisphere in brain tumor patients. Annals of Neurology, 57, 128\u2013131.","DOI":"10.1002\/ana.20342"},{"key":"2022042815225912500_bib46","doi-asserted-by":"crossref","unstructured":"Traut, T., Sardesh, N., Bulubas, L., Findlay, A., Honma, S. M., Mizuiri, D., et al (2019). MEG imaging of recurrent gliomas reveals functional plasticity of hemispheric language specialization. Human Brain Mapping, 40, 1082\u20131092.","DOI":"10.1002\/hbm.24430"},{"key":"2022042815225912500_bib47","doi-asserted-by":"crossref","unstructured":"Turken, A. U., & Dronkers, N. F. (2011). The neural architecture of the language comprehension network: Converging evidence from lesion and connectivity analyses. Frontiers in Systems Neuroscience, 5, 1.","DOI":"10.3389\/fnsys.2011.00001"},{"key":"2022042815225912500_bib48","doi-asserted-by":"crossref","unstructured":"Van Den Broek, S. P., Reinders, F., Donderwinkel, M., & Peters, M. J. (1998). Volume conduction effects in EEG and MEG. Electroencephalography and Clinical Neurophysiology, 106, 522\u2013534.","DOI":"10.1016\/S0013-4694(97)00147-8"},{"key":"2022042815225912500_bib49","doi-asserted-by":"crossref","unstructured":"Van Uitert, R., Johnson, C., & Zhukov, L. (2004). Influence of head tissue conductivity in forward and inverse magnetoencephalographic simulations using realistic head models. IEEE Transactions on Biomedical Engineering, 51, 2129\u20132137.","DOI":"10.1109\/TBME.2004.836490"},{"key":"2022042815225912500_bib50","doi-asserted-by":"crossref","unstructured":"Van Veen, B. D., van Drongelen, W., Yuchtman, M., & Suzuki, A. (1997). Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Transactions on Biomedical Engineering, 44, 867\u2013880.","DOI":"10.1109\/10.623056"},{"key":"2022042815225912500_bib51","doi-asserted-by":"crossref","unstructured":"Vorwerk, J., Cho, J. H., Rampp, S., Hamer, H., Kn\u00f6sche, T. R., & Wolters, C. H. (2014). A guideline for head volume conductor modeling in EEG and MEG. Neuroimage, 100, 590\u2013607.","DOI":"10.1016\/j.neuroimage.2014.06.040"},{"key":"2022042815225912500_bib52","unstructured":"Wada, J.\n (1949). A new method of determining the side of cerebral speech dominance: A preliminary report on the intracarotid injection of sodium amytal in man. Igaku to Seibutsugaku, 14, 221\u2013222."}],"container-title":["Journal of Cognitive Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/direct.mit.edu\/jocn\/article-pdf\/32\/8\/1497\/2013724\/jocn_a_01561.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/direct.mit.edu\/jocn\/article-pdf\/32\/8\/1497\/2013724\/jocn_a_01561.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,29]],"date-time":"2022-04-29T00:48:34Z","timestamp":1651193314000},"score":1,"resource":{"primary":{"URL":"https:\/\/direct.mit.edu\/jocn\/article\/32\/8\/1497\/95460\/Language-Neuroplasticity-in-Brain-Tumor-Patients"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,1]]},"references-count":53,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2020,8,1]]},"published-print":{"date-parts":[[2020,8,1]]}},"URL":"http:\/\/dx.doi.org\/10.1162\/jocn_a_01561","relation":{},"ISSN":["0898-929X","1530-8898"],"issn-type":[{"value":"0898-929X","type":"print"},{"value":"1530-8898","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2020,8]]},"published":{"date-parts":[[2020,8,1]]}}}
