|
|
Clinical applications of neurolinguistics in neurosurgery |
Peng Wang1, Zehao Zhao1, Linghao Bu1, Nijiati Kudulaiti1, Qiao Shan1, Yuyao Zhou1, N. U. Farrukh Hameed1, Yangming Zhu1, Lei Jin1, Jie Zhang1,2, Junfeng Lu1,2, Jinsong Wu1,2,3() |
1. Glioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Fudan University, Shanghai 200040, China 2. Brain Function Laboratory, Neurosurgical Institute of Fudan University, Shanghai 201100, China 3. Institute of Brain-Intelligence Technology, Zhangjiang Lab, Shanghai 200135, China |
|
|
Abstract The protection of language function is one of the major challenges of brain surgery. Over the past century, neurosurgeons have attempted to seek the optimal strategy for the preoperative and intraoperative identification of language-related brain regions. Neurosurgeons have investigated the neural mechanism of language, developed neurolinguistics theory, and provided unique evidence to further understand the neural basis of language functions by using intraoperative cortical and subcortical electrical stimulation. With the emergence of modern neuroscience techniques and dramatic advances in language models over the last 25 years, novel language mapping methods have been applied in the neurosurgical practice to help neurosurgeons protect the brain and reduce morbidity. The rapid advancements in brain--computer interface have provided the perfect platform for the combination of neurosurgery and neurolinguistics. In this review, the history of neurolinguistics models, advancements in modern technology, role of neurosurgery in language mapping, and modern language mapping methods (including noninvasive neuroimaging techniques and invasive cortical electroencephalogram) are presented.
|
Keywords
neurolinguistics
language mapping
dual pathway model
neurosurgery
|
Corresponding Author(s):
Jinsong Wu
|
Just Accepted Date: 20 January 2021
Online First Date: 14 May 2021
Issue Date: 23 September 2021
|
|
1 |
P Tremblay, AS Dick. Broca and Wernicke are dead, or moving past the classic model of language neurobiology. Brain Lang 2016; 162: 60–71
https://doi.org/10.1016/j.bandl.2016.08.004
pmid: 27584714
|
2 |
T Ueno, S Saito, TT Rogers, MA Lambon Ralph. Lichtheim 2: synthesizing aphasia and the neural basis of language in a neurocomputational model of the dual dorsal-ventral language pathways. Neuron 2011; 72(2): 385–396
https://doi.org/10.1016/j.neuron.2011.09.013
pmid: 22017995
|
3 |
D Poeppel, K Emmorey, G Hickok, L Pylkkänen. Towards a new neurobiology of language. J Neurosci 2012; 32(41): 14125–14131
https://doi.org/10.1523/JNEUROSCI.3244-12.2012
pmid: 23055482
|
4 |
G Hickok, D Poeppel. The cortical organization of speech processing. Nat Rev Neurosci 2007; 8(5): 393–402
https://doi.org/10.1038/nrn2113
pmid: 17431404
|
5 |
M Catani, DK Jones, DH Ffytche. Perisylvian language networks of the human brain. Ann Neurol 2005; 57(1): 8–16
https://doi.org/10.1002/ana.20319
pmid: 15597383
|
6 |
EF Chang, KP Raygor, MS Berger. Contemporary model of language organization: an overview for neurosurgeons. J Neurosurg 2015; 122(2): 250–261
https://doi.org/10.3171/2014.10.JNS132647
pmid: 25423277
|
7 |
N Zhang, M Xia, T Qiu, X Wang, CP Lin, Q Guo, J Lu, Q Wu, D Zhuang, Z Yu, F Gong, NU Farrukh Hameed, Y He, J Wu, L Zhou. Reorganization of cerebro-cerebellar circuit in patients with left hemispheric gliomas involving language network: a combined structural and resting-state functional MRI study. Hum Brain Mapp 2018; 39(12): 4802–4819
https://doi.org/10.1002/hbm.24324
pmid: 30052314
|
8 |
K Yagmurlu, EH Middlebrooks, N Tanriover, AL Rhoton Jr. Fiber tracts of the dorsal language stream in the human brain. J Neurosurg 2016; 124(5): 1396–1405
https://doi.org/10.3171/2015.5.JNS15455
pmid: 26587654
|
9 |
JC Fernandez-Miranda, S Pathak, W Schneider. High-definition fiber tractography and language. J Neurosurg 2010; 113(1): 156––158
https://doi.org/10.3171/2009.10.JNS091460
pmid: 20450278
|
10 |
JC Fernández-Miranda, AL Rhoton Jr, J Alvarez-Linera, Y Kakizawa, C Choi, EP de Oliveira. Three-dimensional microsurgical and tractographic anatomy of the white matter of the human brain. Neurosurgery 2008; 62(6 Suppl 3): 989–1028
https://doi.org/10.1227/01.neu.0000333767.05328.49
pmid: 18695585
|
11 |
JC Fernandez-Miranda, S Pathak, J Engh, K Jarbo, T Verstynen, FC Yeh, Y Wang, A Mintz, F Boada, W Schneider, R Friedlander. High-definition fiber tractography of the human brain: neuroanatomical validation and neurosurgical applications. Neurosurgery 2012; 71(2): 430–453
https://doi.org/10.1227/NEU.0b013e3182592faa
pmid: 22513841
|
12 |
WJ Levelt, A Roelofs, AS Meyer. A theory of lexical access in speech production. Behav Brain Sci 1999; 22(1): 1–38
https://doi.org/10.1017/S0140525X99001776
pmid: 11301520
|
13 |
P Indefrey, WJ Levelt. The spatial and temporal signatures of word production components. Cognition 2004; 92(1-2): 101–144
https://doi.org/10.1016/j.cognition.2002.06.001
pmid: 15037128
|
14 |
P Indefrey. The spatial and temporal signatures of word production components: a critical update. Front Psychol 2011; 2: 255
https://doi.org/10.3389/fpsyg.2011.00255
pmid: 22016740
|
15 |
E Mandonnet, P Gatignol, H Duffau. Evidence for an occipito-temporal tract underlying visual recognition in picture naming. Clin Neurol Neurosurg 2009; 111(7): 601–605
https://doi.org/10.1016/j.clineuro.2009.03.007
pmid: 19414212
|
16 |
AC Vogel, SE Petersen, BL Schlaggar. The VWFA: it’s not just for words anymore. Front Hum Neurosci 2014; 8: 88
https://doi.org/10.3389/fnhum.2014.00088
pmid: 24688462
|
17 |
JD Breshears, AM Molinaro, EF Chang. A probabilistic map of the human ventral sensorimotor cortex using electrical stimulation. J Neurosurg 2015; 123(2): 340–349
https://doi.org/10.3171/2014.11.JNS14889
pmid: 25978714
|
18 |
W Penfield, L Roberts. Speech and brain mechanisms. New Jersey: Princeton University Press,1959
|
19 |
NF Dronkers, O Plaisant, MT Iba-Zizen, EA Cabanis. Paul Broca’s historic cases: high resolution MR imaging of the brains of Leborgne and Lelong. Brain 2007; 130(5): 1432–1441
https://doi.org/10.1093/brain/awm042
pmid: 17405763
|
20 |
GA Ojemann, HA Whitaker. Language localization and variability. Brain Lang 1978; 6(2): 239–260
https://doi.org/10.1016/0093-934X(78)90061-5
pmid: 728789
|
21 |
W Penfield, E Boldrey. Somatic motor and sensory representation in the cerebral cortex of man as studied by electrical stimulation. Brain 1937; 60(4): 389–443
https://doi.org/10.1093/brain/60.4.389
|
22 |
HA Whitaker, GA Ojemann. Graded localisation of naming from electrical stimulation mapping of left cerebral cortex. Nature 1977; 270(5632): 50–51
https://doi.org/10.1038/270050a0
pmid: 927514
|
23 |
G Ojemann, J Ojemann, E Lettich, M Berger. Cortical language localization in left, dominant hemisphere. An electrical stimulation mapping investigation in 117 patients. J Neurosurg 1989; 71(3): 316–326
https://doi.org/10.3171/jns.1989.71.3.0316
pmid: 2769383
|
24 |
MS Berger, GA Ojemann. Intraoperative brain mapping techniques in neuro-oncology. Stereotact Funct Neurosurg 1992; 58(1-4): 153–161
https://doi.org/10.1159/000098989
pmid: 1439333
|
25 |
N Sanai, Z Mirzadeh, MS Berger. Functional outcome after language mapping for glioma resection. N Engl J Med 2008; 358(1): 18–27
https://doi.org/10.1056/NEJMoa067819
pmid: 18172171
|
26 |
MC Tate, G Herbet, S Moritz-Gasser, JE Tate, H Duffau. Probabilistic map of critical functional regions of the human cerebral cortex: Broca’s area revisited. Brain 2014; 137(10): 2773–2782
https://doi.org/10.1093/brain/awu168
pmid: 24970097
|
27 |
J Wu, J Lu, H Zhang, J Zhang, C Yao, D Zhuang, T Qiu, Q Guo, X Hu, Y Mao, L Zhou. Direct evidence from intraoperative electrocortical stimulation indicates shared and distinct speech production center between Chinese and English languages. Hum Brain Mapp 2015; 36(12): 4972–4985
https://doi.org/10.1002/hbm.22991
pmid: 26351094
|
28 |
H Duffau, L Capelle, N Sichez, D Denvil, M Lopes, JP Sichez, A Bitar, D Fohanno. Intraoperative mapping of the subcortical language pathways using direct stimulations. An anatomo-functional study. Brain 2002; 125(1): 199–214
https://doi.org/10.1093/brain/awf016
pmid: 11834604
|
29 |
C Cheung, EF Chang. Real-time, time-frequency mapping of event-related cortical activation. J Neural Eng 2012; 9(4): 046018
https://doi.org/10.1088/1741-2560/9/4/046018
pmid: 22814190
|
30 |
RJ Dym, J Burns, K Freeman, ML Lipton. Is functional MR imaging assessment of hemispheric language dominance as good as the Wada test?: a meta-analysis. Radiology 2011; 261(2): 446–455
https://doi.org/10.1148/radiol.11101344
pmid: 21803921
|
31 |
PR Bauer, JB Reitsma, BM Houweling, CH Ferrier, NF Ramsey. Can fMRI safely replace the Wada test for preoperative assessment of language lateralisation? A meta-analysis and systematic review. J Neurol Neurosurg Psychiatry 2014; 85(5): 581–588
https://doi.org/10.1136/jnnp-2013-305659
pmid: 23986313
|
32 |
GE Doucet, D Pustina, C Skidmore, A Sharan, MR Sperling, JI Tracy. Resting-state functional connectivity predicts the strength of hemispheric lateralization for language processing in temporal lobe epilepsy and normals. Hum Brain Mapp 2015; 36(1): 288–303
https://doi.org/10.1002/hbm.22628
pmid: 25187327
|
33 |
MN DeSalvo, N Tanaka, L Douw, CL Leveroni, BR Buchbinder, DN Greve, SM Stufflebeam. Resting-state functional MR imaging for determining language laterality in intractable epilepsy. Radiology 2016; 281(1): 264–269
https://doi.org/10.1148/radiol.2016141010
pmid: 27467465
|
34 |
KA Smitha, KM Arun, PG Rajesh, B Thomas, A Radhakrishnan, PS Sarma, C Kesavadas. Resting fMRI as an alternative for task-based fMRI for language lateralization in temporal lobe epilepsy patients: a study using independent component analysis. Neuroradiology 2019; 61(7): 803–810
https://doi.org/10.1007/s00234-019-02209-w
pmid: 31020344
|
35 |
L Junck, SL Hervey-Jumper, O Sagher. Resection of gliomas around language areas: can fMRI contribute? Neurology 2015; 84(6): 550–551
https://doi.org/10.1212/WNL.0000000000001241
pmid: 25589665
|
36 |
G Kuchcinski, C Mellerio, J Pallud, E Dezamis, G Turc, O Rigaux-Viodé, C Malherbe, P Roca, X Leclerc, P Varlet, F Chrétien, B Devaux, JF Meder, C Oppenheim. Three-tesla functional MR language mapping: comparison with direct cortical stimulation in gliomas. Neurology 2015; 84(6): 560–568
https://doi.org/10.1212/WNL.0000000000001226
pmid: 25589667
|
37 |
JJ Pillai, D Zacá. Clinical utility of cerebrovascular reactivity mapping in patients with low grade gliomas. World J Clin Oncol 2011; 2(12): 397–403
https://doi.org/10.5306/wjco.v2.i12.397
pmid: 22171282
|
38 |
BL Hou, M Bradbury, KK Peck, NM Petrovich, PH Gutin, AI Holodny. Effect of brain tumor neovasculature defined by rCBV on BOLD fMRI activation volume in the primary motor cortex. Neuroimage 2006; 32(2): 489–497
https://doi.org/10.1016/j.neuroimage.2006.04.188
pmid: 16806983
|
39 |
G Krüger, A Kastrup, GH Glover. Neuroimaging at 1.5 T and 3.0 T: comparison of oxygenation-sensitive magnetic resonance imaging. Magn Reson Med 2001; 45(4): 595–604
https://doi.org/10.1002/mrm.1081
pmid: 11283987
|
40 |
A Bizzi, V Blasi, A Falini, P Ferroli, M Cadioli, U Danesi, D Aquino, C Marras, D Caldiroli, G Broggi. Presurgical functional MR imaging of language and motor functions: validation with intraoperative electrocortical mapping. Radiology 2008; 248(2): 579–589
https://doi.org/10.1148/radiol.2482071214
pmid: 18539893
|
41 |
FE Roux, K Boulanouar, JA Lotterie, M Mejdoubi, JP LeSage, I Berry. Language functional magnetic resonance imaging in preoperative assessment of language areas: correlation with direct cortical stimulation. Neurosurgery 2003; 52(6): 1335–1347
https://doi.org/10.1227/01.NEU.0000064803.05077.40
pmid: 12762879
|
42 |
J Ruohonen, J Karhu. Navigated transcranial magnetic stimulation. Neurophysiol Clin 2010; 40(1): 7–17
https://doi.org/10.1016/j.neucli.2010.01.006
pmid: 20230931
|
43 |
T Kombos, T Picht, A Derdilopoulos, O Suess. Impact of intraoperative neurophysiological monitoring on surgery of high-grade gliomas. J Clin Neurophysiol 2009; 26(6): 422–425
https://doi.org/10.1097/WNP.0b013e3181c2c0dc
pmid: 19952567
|
44 |
A Pascual-Leone, V Walsh, J Rothwell. Transcranial magnetic stimulation in cognitive neuroscience—virtual lesion, chronometry, and functional connectivity. Curr Opin Neurobiol 2000; 10(2): 232–237
https://doi.org/10.1016/S0959-4388(00)00081-7
pmid: 10753803
|
45 |
A Pascual-Leone, JR Gates, A Dhuna. Induction of speech arrest and counting errors with rapid-rate transcranial magnetic stimulation. Neurology 1991; 41(5): 697–702
https://doi.org/10.1212/WNL.41.5.697
pmid: 2027485
|
46 |
CM Epstein, JJ Lah, K Meador, JD Weissman, LE Gaitan, B Dihenia. Optimum stimulus parameters for lateralized suppression of speech with magnetic brain stimulation. Neurology 1996; 47(6): 1590–1593
https://doi.org/10.1212/WNL.47.6.1590
pmid: 8960755
|
47 |
P Lioumis, A Zhdanov, N Mäkelä, H Lehtinen, J Wilenius, T Neuvonen, H Hannula, V Deletis, T Picht, JP Mäkelä. A novel approach for documenting naming errors induced by navigated transcranial magnetic stimulation. J Neurosci Methods 2012; 204(2): 349–354
https://doi.org/10.1016/j.jneumeth.2011.11.003
pmid: 22108143
|
48 |
T Picht, SM Krieg, N Sollmann, J Rösler, B Niraula, T Neuvonen, P Savolainen, P Lioumis, JP Mäkelä, V Deletis, B Meyer, P Vajkoczy, F Ringel. A comparison of language mapping by preoperative navigated transcranial magnetic stimulation and direct cortical stimulation during awake surgery. Neurosurgery 2013; 72(5): 808–819
https://doi.org/10.1227/NEU.0b013e3182889e01
pmid: 23385773
|
49 |
S Ille, N Sollmann, T Hauck, S Maurer, N Tanigawa, T Obermueller, C Negwer, D Droese, C Zimmer, B Meyer, F Ringel, SM Krieg. Combined noninvasive language mapping by navigated transcranial magnetic stimulation and functional MRI and its comparison with direct cortical stimulation. J Neurosurg 2015; 123(1): 212–225
https://doi.org/10.3171/2014.9.JNS14929
pmid: 25748306
|
50 |
PE Tarapore, AM Findlay, SM Honma, D Mizuiri, JF Houde, MS Berger, SS Nagarajan. Language mapping with navigated repetitive TMS: proof of technique and validation. Neuroimage 2013; 82: 260–272
https://doi.org/10.1016/j.neuroimage.2013.05.018
pmid: 23702420
|
51 |
JP Lefaucheur. Stroke recovery can be enhanced by using repetitive transcranial magnetic stimulation (rTMS). Neurophysiol Clin 2006; 36(3): 105–115
https://doi.org/10.1016/j.neucli.2006.08.011
pmid: 17046605
|
52 |
N Kapur. Paradoxical functional facilitation in brain-behaviour research. A critical review. Brain 1996; 119(5): 1775–1790
https://doi.org/10.1093/brain/119.5.1775
pmid: 8931597
|
53 |
MF Glasser, JK Rilling. DTI tractography of the human brain’s language pathways. Cereb Cortex 2008; 18(11): 2471–2482
https://doi.org/10.1093/cercor/bhn011
pmid: 18281301
|
54 |
D Saur, BW Kreher, S Schnell, D Kümmerer, P Kellmeyer, MS Vry, R Umarova, M Musso, V Glauche, S Abel, W Huber, M Rijntjes, J Hennig, C Weiller. Ventral and dorsal pathways for language. Proc Natl Acad Sci USA 2008; 105(46): 18035–18040
https://doi.org/10.1073/pnas.0805234105
pmid: 19004769
|
55 |
S Wakana, A Caprihan, MM Panzenboeck, JH Fallon, M Perry, RL Gollub, K Hua, J Zhang, H Jiang, P Dubey, A Blitz, P van Zijl, S Mori. Reproducibility of quantitative tractography methods applied to cerebral white matter. Neuroimage 2007; 36(3): 630–644
https://doi.org/10.1016/j.neuroimage.2007.02.049
pmid: 17481925
|
56 |
M Catani, M Thiebaut de Schotten. A diffusion tensor imaging tractography atlas for virtual in vivo dissections. Cortex 2008; 44(8): 1105–1132
https://doi.org/10.1016/j.cortex.2008.05.004
pmid: 18619589
|
57 |
J Martino, PC De Witt Hamer, MS Berger, MT Lawton, CM Arnold, EM de Lucas, H Duffau. Analysis of the subcomponents and cortical terminations of the perisylvian superior longitudinal fasciculus: a fiber dissection and DTI tractography study. Brain Struct Funct 2013; 218(1): 105–121
https://doi.org/10.1007/s00429-012-0386-5
pmid: 22422148
|
58 |
JS Wu, LF Zhou, XN Hong, Y Mao, GH Du. Role of diffusion tensor imaging in neuronavigation surgery of brain tumors involving pyramidal tracts. Chin J Surg (Zhonghua Wai Ke Za Zhi) 2003; 41(9): 662–666(in Chinese)
pmid: 14680564
|
59 |
FP Zhu, JS Wu, CJ Yao, LQ Lang, G Xu, J Zhang, S Sun, Y Mao, LF Zhou. Diffusion tensor imaging correlates with subcortical stimulation for intraoperative pyramidal tract mapping: a preliminary study. Chin J Neurosurg (Zhonghua Shen Jing Wai Ke Za Zhi) 2010; 26(9): 795–799(in Chinese)
https://doi.org/10.3760/cma.j.issn.1001-2346.2010.09.009
|
60 |
FP Zhu, JS Wu, CJ Yao, LQ Lang, G Xu, Y Mao. Intraoperative neurophysiological monitoring in low-field MRI environment. Chin J Neurosurg (Zhonghua Shen Jing Wai Ke Za Zhi) 2010; 26(4): 303–305(in Chinese)
https://doi.org/10.3760/cma.j.issn.1001-2346.2010.04.007
|
61 |
Z Yuan. Combining independent component analysis and Granger causality to investigate brain network dynamics with fNIRS measurements. Biomed Opt Express 2013; 4(11): 2629–2643
https://doi.org/10.1364/BOE.4.002629
pmid: 24298421
|
62 |
E Watanabe, A Maki, F Kawaguchi, K Takashiro, Y Yamashita, H Koizumi, Y Mayanagi. Non-invasive assessment of language dominance with near-infrared spectroscopic mapping. Neurosci Lett 1998; 256(1): 49–52
https://doi.org/10.1016/S0304-3940(98)00754-X
pmid: 9832214
|
63 |
RP Kennan, D Kim, A Maki, H Koizumi, RT Constable. Non-invasive assessment of language lateralization by transcranial near infrared optical topography and functional MRI. Hum Brain Mapp 2002; 16(3): 183–189
https://doi.org/10.1002/hbm.10039
pmid: 12112772
|
64 |
NF Watson, C Dodrill, D Farrell, MD Holmes, JW Miller. Determination of language dominance with near-infrared spectroscopy: comparison with the intracarotid amobarbital procedure. Seizure 2004; 13(6): 399–402
https://doi.org/10.1016/j.seizure.2003.09.008
pmid: 15276143
|
65 |
M Peña, A Maki, D Kovacić, G Dehaene-Lambertz, H Koizumi, F Bouquet, J Mehler. Sounds and silence: an optical topography study of language recognition at birth. Proc Natl Acad Sci USA 2003; 100(20): 11702–11705
https://doi.org/10.1073/pnas.1934290100
pmid: 14500906
|
66 |
K Kotilahti, I Nissilä, T Näsi, L Lipiäinen, T Noponen, P Meriläinen, M Huotilainen, V Fellman. Hemodynamic responses to speech and music in newborn infants. Hum Brain Mapp 2010; 31(4): 595–603
pmid: 19790172
|
67 |
T Qiu, NUF Hameed, Y Peng, S Wang, J Wu, L Zhou. Functional near-infrared spectroscopy for intraoperative brain mapping. Neurophotonics 2019; 6(4): 045010
https://doi.org/10.1117/1.NPh.6.4.045010
pmid: 31799334
|
68 |
CY Lee, YN Liu, JL Tsai. The time course of contextual effects on visual word recognition. Front Psychol 2012; 3: 285
https://doi.org/10.3389/fpsyg.2012.00285
pmid: 22934087
|
69 |
AM Beres. Time is of the essence: a review of electroencephalography (EEG) and event-related brain potentials (ERPs) in language research. Appl Psychophysiol Biofeedback 2017; 42(4): 247–255
https://doi.org/10.1007/s10484-017-9371-3
pmid: 28698970
|
70 |
MA Boudewyn, DL Long, TY Swaab. Graded expectations: predictive processing and the adjustment of expectations during spoken language comprehension. Cogn Affect Behav Neurosci 2015; 15(3): 607–624
https://doi.org/10.3758/s13415-015-0340-0
pmid: 25673006
|
71 |
MS Nieuwland. Do ‘early’ brain responses reveal word form prediction during language comprehension? A critical review. Neurosci Biobehav Rev 2019; 96: 367–400
https://doi.org/10.1016/j.neubiorev.2018.11.019
pmid: 30621862
|
72 |
P Hagoort, M Wassenaar, CM Brown. Syntax-related ERP-effects in Dutch. Brain Res Cogn Brain Res 2003; 16(1): 38–50
https://doi.org/10.1016/S0926-6410(02)00208-2
pmid: 12589887
|
73 |
H Brouwer, JC Hoeks. A time and place for language comprehension: mapping the N400 and the P600 to a minimal cortical network. Front Hum Neurosci 2013; 7: 758
https://doi.org/10.3389/fnhum.2013.00758
pmid: 24273505
|
74 |
LA Farwell, E Donchin. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr Clin Neurophysiol 1988; 70(6): 510–523
https://doi.org/10.1016/0013-4694(88)90149-6
pmid: 2461285
|
75 |
DJ Krusienski, EW Sellers, DJ McFarland, TM Vaughan, JR Wolpaw. Toward enhanced P300 speller performance. J Neurosci Methods 2008; 167(1): 15–21
https://doi.org/10.1016/j.jneumeth.2007.07.017
pmid: 17822777
|
76 |
H Serby, E Yom-Tov, GF Inbar. An improved P300-based brain-computer interface. IEEE Trans Neural Syst Rehabil Eng 2005; 13(1): 89–98
https://doi.org/10.1109/TNSRE.2004.841878
pmid: 15813410
|
77 |
H Zhang, C Guan, C Wang. Asynchronous P300-based brain-computer interfaces: a computational approach with statistical models. IEEE Trans Biomed Eng 2008; 55(6): 1754–1763
https://doi.org/10.1109/TBME.2008.919128
pmid: 18714840
|
78 |
JJ See, TW Lew, TK Kwek, KJ Chin, MF Wong, QY Liew, SH Lim, HS Ho, Y Chan, GP Loke, VS Yeo. Anaesthetic management of awake craniotomy for tumour resection. Ann Acad Med Singap 2007; 36(5): 319–325
pmid: 17549277
|
79 |
F Piccioni, M Fanzio. Management of anesthesia in awake craniotomy. Minerva Anestesiol 2008; 74(7-8): 393–408
pmid: 18612268
|
80 |
F Bilotta, G Rosa. ‘Anesthesia’ for awake neurosurgery. Curr Opin Anaesthesiol 2009; 22(5): 560–565
https://doi.org/10.1097/ACO.0b013e3283302339
pmid: 19623055
|
81 |
E Hansen, M Seemann, N Zech, C Doenitz, R Luerding, A Brawanski. Awake craniotomies without any sedation: the awake-awake-awake technique. Acta Neurochir (Wien) 2013; 155(8): 1417–1424
https://doi.org/10.1007/s00701-013-1801-2
pmid: 23812965
|
82 |
OK Dilmen, EF Akcil, A Oguz, H Vehid, Y Tunali. Comparison of conscious sedation and asleep-awake-asleep techniques for awake craniotomy. J Clin Neurosci 2017; 35: 30–34
https://doi.org/10.1016/j.jocn.2016.10.007
pmid: 27771234
|
83 |
L Meng, DL McDonagh, MS Berger, AW Gelb. Anesthesia for awake craniotomy: a how-to guide for the occasional practitioner. Can J Anaesth 2017; 64(5): 517–529
https://doi.org/10.1007/s12630-017-0840-1
pmid: 28181184
|
84 |
L Jin, JS Wu, GB Chen, LF Zhou. Unforgettable ups and downs of acupuncture anesthesia in China. World Neurosurg 2017; 102: 623–631
https://doi.org/10.1016/j.wneu.2017.02.036
pmid: 28214637
|
85 |
Y Wang, MS Fifer, A Flinker, A Korzeniewska, MC Cervenka, WS Anderson, DF Boatman-Reich, NE Crone. Spatial-temporal functional mapping of language at the bedside with electrocorticography. Neurology 2016; 86(13): 1181–1189
https://doi.org/10.1212/WNL.0000000000002525
pmid: 26935890
|
86 |
R Arya, PS Horn, NE Crone. ECoG high-gamma modulation versus electrical stimulation for presurgical language mapping. Epilepsy Behav 2018; 79: 26–33
https://doi.org/10.1016/j.yebeh.2017.10.044
pmid: 29247963
|
87 |
KE Bouchard, N Mesgarani, K Johnson, EF Chang. Functional organization of human sensorimotor cortex for speech articulation. Nature 2013; 495(7441): 327–332
https://doi.org/10.1038/nature11911
pmid: 23426266
|
88 |
BK Dichter, JD Breshears, MK Leonard, EF Chang. The control of vocal pitch in human laryngeal motor cortex. Cell 2018; 174(1): 21–31.e29
https://doi.org/10.1016/j.cell.2018.05.016
pmid: 23426266
|
89 |
EF Chang, JW Rieger, K Johnson, MS Berger, NM Barbaro, RT Knight. Categorical speech representation in human superior temporal gyrus. Nat Neurosci 2010; 13(11): 1428–1432
https://doi.org/10.1038/nn.2641
pmid: 20890293
|
90 |
N Mesgarani, EF Chang. Selective cortical representation of attended speaker in multi-talker speech perception. Nature 2012; 485(7397): 233–236
https://doi.org/10.1038/nature11020
pmid: 22522927
|
91 |
N Mesgarani, C Cheung, K Johnson, EF Chang. Phonetic feature encoding in human superior temporal gyrus. Science 2014; 343(6174): 1006–1010
https://doi.org/10.1126/science.1245994
pmid: 24482117
|
92 |
C Tang, LS Hamilton, EF Chang. Intonational speech prosody encoding in the human auditory cortex. Science 2017; 357(6353): 797–801
https://doi.org/10.1126/science.aam8577
pmid: 28839071
|
93 |
KLS Colin Phillips. Language and the Brain. McGraw-Hill Publishers, 2005
|
94 |
GK Anumanchipalli, J Chartier, EF Chang. Speech synthesis from neural decoding of spoken sentences. Nature 2019; 568(7753): 493–498
https://doi.org/10.1038/s41586-019-1119-1
pmid: 31019317
|
95 |
FS Collins. Reengineering translational science: the time is right. Sci Transl Med 2011; 3(90): 90cm17
https://doi.org/10.1126/scitranslmed.3002747
pmid: 21734173
|
96 |
W Chiong, MK Leonard, EF Chang. Neurosurgical patients as human research subjects: ethical considerations in intracranial electrophysiology research. Neurosurgery 2018; 83(1): 29–37
https://doi.org/10.1093/neuros/nyx361
pmid: 28973530
|
[1] |
FMD-20022-OF-WJS_suppl_1
|
Video
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|