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Herbet G, Duffau H, Mandonnet E. Predictors of cognition after glioma surgery: connectotomy, structure-function phenotype, plasticity. Brain 2024; 147:2621-2635. [PMID: 38573324 DOI: 10.1093/brain/awae093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 02/19/2024] [Accepted: 03/09/2024] [Indexed: 04/05/2024] Open
Abstract
Determining preoperatively the maximal extent of resection that would preserve cognitive functions is the core challenge of brain tumour surgery. Over the past decade, the methodological framework to achieve this goal has been thoroughly renewed: the population-level topographically-focused voxel-based lesion-symptom mapping has been progressively overshadowed by machine learning (ML) algorithmics, in which the problem is framed as predicting cognitive outcomes in a patient-specific manner from a typically large set of variables. However, the choice of these predictors is of utmost importance, as they should be both informative and parsimonious. In this perspective, we first introduce the concept of connectotomy: instead of parameterizing resection topography through the status (intact/resected) of a huge number of voxels (or parcels) paving the whole brain in the Cartesian 3D-space, the connectotomy models the resection in the connectivity space, by computing a handful number of networks disconnection indices, measuring how the structural connectivity sustaining each network of interest was hit by the resection. This connectivity-informed reduction of dimensionality is a necessary step for efficiently implementing ML tools, given the relatively small number of patient-examples in available training datasets. We further argue that two other major sources of interindividual variability must be considered to improve the accuracy with which outcomes are predicted: the underlying structure-function phenotype and neuroplasticity, for which we provide an in-depth review and propose new ways of determining relevant predictors. We finally discuss the benefits of our approach for precision surgery of glioma.
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Affiliation(s)
- Guillaume Herbet
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier 34090, France
- Praxiling lab, UMR5267 CNRS & Paul Valéry University, Montpellier 34090, France
- Department of Medicine, University of Montpellier, Montpellier 34090, France
- Institut Universitaire de France, Paris 75000, France
| | - Hugues Duffau
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier 34090, France
- Department of Medicine, University of Montpellier, Montpellier 34090, France
- Team 'Plasticity of Central Nervous System, Stem Cells and Glial Tumors', U1191 Laboratory, Institute of Functional Genomics, National Institute for Health and Medical Research (INSERM), University of Montpellier, Montpellier 34000, France
| | - Emmanuel Mandonnet
- Department of Neurosurgery, Lariboisière Hospital, AP-HP, Paris 75010, France
- Frontlab, CNRS UMR 7225, INSERM U1127, Paris Brain Institute (ICM), Paris 75013, France
- Université de Paris Cité, UFR de médecine, Paris 75005, France
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2
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Wu S, Issa NP, Rose SL, Haider HA, Nordli DR, Towle VL, Warnke PC, Tao JX. Depth versus surface: A critical review of subdural and depth electrodes in intracranial electroencephalographic studies. Epilepsia 2024; 65:1868-1878. [PMID: 38722693 DOI: 10.1111/epi.18002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 04/05/2024] [Accepted: 04/24/2024] [Indexed: 07/17/2024]
Abstract
Intracranial electroencephalographic (IEEG) recording, using subdural electrodes (SDEs) and stereoelectroencephalography (SEEG), plays a pivotal role in localizing the epileptogenic zone (EZ). SDEs, employed for superficial cortical seizure foci localization, provide information on two-dimensional seizure onset and propagation. In contrast, SEEG, with its three-dimensional sampling, allows exploration of deep brain structures, sulcal folds, and bihemispheric networks. SEEG offers the advantages of fewer complications, better tolerability, and coverage of sulci. Although both modalities allow electrical stimulation, SDE mapping can tessellate cortical gyri, providing the opportunity for a tailored resection. With SEEG, both superficial gyri and deep sulci can be stimulated, and there is a lower risk of afterdischarges and stimulation-induced seizures. Most systematic reviews and meta-analyses have addressed the comparative effectiveness of SDEs and SEEG in localizing the EZ and achieving seizure freedom, although discrepancies persist in the literature. The combination of SDEs and SEEG could potentially overcome the limitations inherent to each technique individually, better delineating seizure foci. This review describes the strengths and limitations of SDE and SEEG recordings, highlighting their unique indications in seizure localization, as evidenced by recent publications. Addressing controversies in the perceived usefulness of the two techniques offers insights that can aid in selecting the most suitable IEEG in clinical practice.
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Affiliation(s)
- Shasha Wu
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - Naoum P Issa
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - Sandra L Rose
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - Hiba A Haider
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - Douglas R Nordli
- Department of Pediatrics, University of Chicago, Chicago, Illinois, USA
| | - Vernon L Towle
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
| | - Peter C Warnke
- Department of Neurological Surgery, University of Chicago, Chicago, Illinois, USA
| | - James X Tao
- Department of Neurology, University of Chicago, Chicago, Illinois, USA
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Checcucci C, Wicinski B, Mazzamuto G, Scardigli M, Ramazzotti J, Brady N, Pavone FS, Hof PR, Costantini I, Frasconi P. Deep learning-based localization algorithms on fluorescence human brain 3D reconstruction: a comparative study using stereology as a reference. Sci Rep 2024; 14:14629. [PMID: 38918523 PMCID: PMC11199592 DOI: 10.1038/s41598-024-65092-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 06/17/2024] [Indexed: 06/27/2024] Open
Abstract
3D reconstruction of human brain volumes at high resolution is now possible thanks to advancements in tissue clearing methods and fluorescence microscopy techniques. Analyzing the massive data produced with these approaches requires automatic methods able to perform fast and accurate cell counting and localization. Recent advances in deep learning have enabled the development of various tools for cell segmentation. However, accurate quantification of neurons in the human brain presents specific challenges, such as high pixel intensity variability, autofluorescence, non-specific fluorescence and very large size of data. In this paper, we provide a thorough empirical evaluation of three techniques based on deep learning (StarDist, CellPose and BCFind-v2, an updated version of BCFind) using a recently introduced three-dimensional stereological design as a reference for large-scale insights. As a representative problem in human brain analysis, we focus on a 4 -cm 3 portion of the Broca's area. We aim at helping users in selecting appropriate techniques depending on their research objectives. To this end, we compare methods along various dimensions of analysis, including correctness of the predicted density and localization, computational efficiency, and human annotation effort. Our results suggest that deep learning approaches are very effective, have a high throughput providing each cell 3D location, and obtain results comparable to the estimates of the adopted stereological design.
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Affiliation(s)
- Curzio Checcucci
- Department of Information Engineering, University of Florence, 50100, Firenze, FI, Italy.
| | - Bridget Wicinski
- Nash Family Department of Neuroscience, Friedman Brain Institute and Center for Discovery and Innovation, Icahn School of Medicine at Mount Sinai, New York, NY, 10019, USA
| | - Giacomo Mazzamuto
- European Laboratory for Non-Linear Spectroscopy (LENS), 50019, Sesto Fiorentino, FI, Italy
- National Research Council, National Institute of Optics (CNR-INO), 50019, Sesto Fiorentino, FI, Italy
- Department of Physics, University of Florence, 50019, Sesto Fiorentino, FI, Italy
| | - Marina Scardigli
- European Laboratory for Non-Linear Spectroscopy (LENS), 50019, Sesto Fiorentino, FI, Italy
- Department of Experimental and Clinical Medicine, University of Florence, 50100, Firenze, FI, Italy
| | - Josephine Ramazzotti
- European Laboratory for Non-Linear Spectroscopy (LENS), 50019, Sesto Fiorentino, FI, Italy
| | - Niamh Brady
- European Laboratory for Non-Linear Spectroscopy (LENS), 50019, Sesto Fiorentino, FI, Italy
| | - Francesco S Pavone
- European Laboratory for Non-Linear Spectroscopy (LENS), 50019, Sesto Fiorentino, FI, Italy
- National Research Council, National Institute of Optics (CNR-INO), 50019, Sesto Fiorentino, FI, Italy
- Department of Physics, University of Florence, 50019, Sesto Fiorentino, FI, Italy
| | - Patrick R Hof
- Nash Family Department of Neuroscience, Friedman Brain Institute and Center for Discovery and Innovation, Icahn School of Medicine at Mount Sinai, New York, NY, 10019, USA
| | - Irene Costantini
- European Laboratory for Non-Linear Spectroscopy (LENS), 50019, Sesto Fiorentino, FI, Italy
- National Research Council, National Institute of Optics (CNR-INO), 50019, Sesto Fiorentino, FI, Italy
- Department of Biology, University of Florence, 50019, Sesto Fiorentino, FI, Italy
| | - Paolo Frasconi
- Department of Information Engineering, University of Florence, 50100, Firenze, FI, Italy
- European Laboratory for Non-Linear Spectroscopy (LENS), 50019, Sesto Fiorentino, FI, Italy
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Castellucci GA, Kovach CK, Tabasi F, Christianson D, Greenlee JDW, Long MA. Stimulation of caudal inferior and middle frontal gyri disrupts planning during spoken interaction. Curr Biol 2024; 34:2719-2727.e5. [PMID: 38823382 PMCID: PMC11187660 DOI: 10.1016/j.cub.2024.04.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 03/06/2024] [Accepted: 04/30/2024] [Indexed: 06/03/2024]
Abstract
Turn-taking is a central feature of conversation across languages and cultures.1,2,3,4 This key social behavior requires numerous sensorimotor and cognitive operations1,5,6 that can be organized into three general phases: comprehension of a partner's turn, preparation of a speaker's own turn, and execution of that turn. Using intracranial electrocorticography, we recently demonstrated that neural activity related to these phases is functionally distinct during turn-taking.7 In particular, networks active during the perceptual and articulatory stages of turn-taking consisted of structures known to be important for speech-related sensory and motor processing,8,9,10,11,12,13,14,15,16,17 while putative planning dynamics were most regularly observed in the caudal inferior frontal gyrus (cIFG) and the middle frontal gyrus (cMFG). To test if these structures are necessary for planning during spoken interaction, we used direct electrical stimulation (DES) to transiently perturb cortical function in neurosurgical patient-volunteers performing a question-answer task.7,18,19 We found that stimulating the cIFG and cMFG led to various response errors9,13,20,21 but not gross articulatory deficits, which instead resulted from DES of structures involved in motor control8,13,20,22 (e.g., the precentral gyrus). Furthermore, perturbation of the cIFG and cMFG delayed inter-speaker timing-consistent with slowed planning-while faster responses could result from stimulation of sites located in other areas. Taken together, our findings suggest that the cIFG and cMFG contain critical preparatory circuits that are relevant for interactive language use.
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Affiliation(s)
- Gregg A Castellucci
- NYU Neuroscience Institute and Department of Otolaryngology, New York University Langone Medical Center, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA
| | - Christopher K Kovach
- Department of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - Farhad Tabasi
- Department of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - David Christianson
- Department of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - Jeremy D W Greenlee
- Department of Neurosurgery, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA; Iowa Neuroscience Institute, Iowa City, IA 52242, USA
| | - Michael A Long
- NYU Neuroscience Institute and Department of Otolaryngology, New York University Langone Medical Center, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA.
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Tomasino B, Weis L, Maieron M, Pauletto G, Verriello L, Budai R, Ius T, D'Agostini S, Fadiga L, Skrap M. Motor or non-motor speech interference? A multimodal fMRI and direct cortical stimulation mapping study. Neuropsychologia 2024; 198:108876. [PMID: 38555064 DOI: 10.1016/j.neuropsychologia.2024.108876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 04/02/2024]
Abstract
We retrospectively analyzed data from 15 patients, with a normal pre-operative cognitive performance, undergoing awake surgery for left fronto-temporal low-grade glioma. We combined a pre-surgical measure (fMRI maps of motor- and language-related centers) with intra-surgical measures (MNI-registered cortical sites data obtained during intra-operative direct electrical stimulation, DES, while they performed the two most common language tasks: number counting and picture naming). Selective DES effects along the precentral gyrus/inferior frontal gyrus (and/or the connected speech articulation network) were obtained. DES of the precentral gyrus evoked the motor speech arrest, i.e., anarthria (with apparent mentalis muscle movements). We calculated the number of shared voxels between the lip-tongue and overt counting related- and silent naming-related fMRI maps and the Volumes of Interest (VOIs) obtained by merging together the MNI sites at which a given speech disturbance was observed, normalized on their mean the values (i.e., Z score). Both tongue- and lips-related movements fMRI maps maximally overlapped (Z = 1.05 and Z = 0.94 for lips and tongue vs. 0.16 and -1.003 for counting and naming) with the motor speech arrest seed. DES of the inferior frontal gyrus, pars opercularis and the rolandic operculum induced speech arrest proper (without apparent mentalis muscle movements). This area maximally overlapped with overt counting-related fMRI map (Z = -0.11 and Z = 0.09 for lips and tongue vs. 0.9 and 0.0006 for counting and naming). Interestingly, our fMRI maps indicated reduced Broca's area activity during silent speech compared to overt speech. Lastly, DES of the inferior frontal gyrus, pars opercularis and triangularis evoked variations of the output, i.e., dysarthria, a motor speech disorder occurring when patients cannot control the muscles used to produce articulated sounds (phonemes). Silent object naming-related fMRI map maximally overlapped (Z = -0.93 and Z = -1.04 for lips and tongue vs. -1.07 and 0.99 for counting and naming) with this seed. Speech disturbances evoked by DES may be thought of as selective interferences with specific recruitment of left inferior frontal gyrus and precentral cortex which are differentiable in terms of the specific interference induced.
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Affiliation(s)
| | - Luca Weis
- Istituto Italiano di Tecnologia, Genova, Italy
| | - Marta Maieron
- Fisica Medica, Azienda Sanitaria Universitaria Friuli Centrale ASU FC, Italy
| | - Giada Pauletto
- Neurologia, Dipartimento "Testa, Collo e Neuroscienze", Azienda Sanitaria Universitaria Friuli Centrale ASU FC, Italy
| | - Lorenzo Verriello
- Neurologia, Dipartimento "Testa, Collo e Neuroscienze", Azienda Sanitaria Universitaria Friuli Centrale ASU FC, Italy
| | - Riccardo Budai
- Neurologia, Dipartimento "Testa, Collo e Neuroscienze", Azienda Sanitaria Universitaria Friuli Centrale ASU FC, Italy
| | - Tamara Ius
- Neurochirurgia, Dipartimento "Testa, Collo e Neuroscienze", Azienda Sanitaria Universitaria Friuli Centrale ASU FC, Italy
| | - Serena D'Agostini
- Neuroradiologia, Azienda Sanitaria Universitaria Friuli Centrale ASU FC, Italy
| | - Luciano Fadiga
- Istituto Italiano di Tecnologia, Genova, Italy; Dipartimento di Neuroscienze e Riabilitazione, Università di Ferrara, Italy
| | - Miran Skrap
- Neurochirurgia, Dipartimento "Testa, Collo e Neuroscienze", Azienda Sanitaria Universitaria Friuli Centrale ASU FC, Italy
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Matoba K, Matsumoto R, Shimotake A, Nakae T, Imamura H, Togo M, Yamao Y, Usami K, Kikuchi T, Yoshida K, Matsuhashi M, Kunieda T, Miyamoto S, Takahashi R, Ikeda A. Basal temporal language area revisited in Japanese language with a language function density map. Cereb Cortex 2024; 34:bhae218. [PMID: 38858838 DOI: 10.1093/cercor/bhae218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 05/04/2024] [Accepted: 05/08/2024] [Indexed: 06/12/2024] Open
Abstract
We revisited the anatomo-functional characteristics of the basal temporal language area (BTLA), first described by Lüders et al. (1986), using electrical cortical stimulation (ECS) in the context of Japanese language and semantic networks. We recruited 11 patients with focal epilepsy who underwent chronic subdural electrode implantation and ECS mapping with multiple language tasks for presurgical evaluation. A semiquantitative language function density map delineated the anatomo-functional characteristics of the BTLA (66 electrodes, mean 3.8 cm from the temporal tip). The ECS-induced impairment probability was higher in the following tasks, listed in a descending order: spoken-word picture matching, picture naming, Kanji word reading, paragraph reading, spoken-verbal command, and Kana word reading. The anterior fusiform gyrus (FG), adjacent anterior inferior temporal gyrus (ITG), and the anterior end where FG and ITG fuse, were characterized by stimulation-induced impairment during visual and auditory tasks requiring verbal output or not, whereas the middle FG was characterized mainly by visual input. The parahippocampal gyrus was the least impaired of the three gyri in the basal temporal area. We propose that the BTLA has a functional gradient, with the anterior part involved in amodal semantic processing and the posterior part, especially the middle FG in unimodal semantic processing.
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Affiliation(s)
- Kento Matoba
- Division of Neurology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, Hyogo 650-0017, Japan
- Department of Neurology, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Riki Matsumoto
- Division of Neurology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, Hyogo 650-0017, Japan
- Department of Neurology, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Akihiro Shimotake
- Department of Neurology, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Takuro Nakae
- Department of Neurosurgery, Shiga General Hospital, 5-4-30 Moriyama, Moriyama, Shiga 524-0022, Japan
| | - Hisaji Imamura
- Department of Neurology, Fukui Red Cross Hospital, 2-4-1, Tsukimi, Fukui, 918-8011, Japan
| | - Masaya Togo
- Division of Neurology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, Hyogo 650-0017, Japan
| | - Yukihiro Yamao
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Kiyohide Usami
- Department of Epilepsy, Movement Disorders and Physiology, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Takayuki Kikuchi
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Kazumichi Yoshida
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Masao Matsuhashi
- Department of Epilepsy, Movement Disorders and Physiology, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
- Human Brain Research Center, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Takeharu Kunieda
- Department of Neurosurgery, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, Japan
| | - Susumu Miyamoto
- Department of Neurosurgery, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Ryosuke Takahashi
- Department of Neurology, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| | - Akio Ikeda
- Department of Epilepsy, Movement Disorders and Physiology, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
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Abarrategui B, Pelliccia V, Giovannelli G, Nichelatti M, Valenzano S, Mikulan E, Pigorini A, Revay M, Scarpa P, Tassi L. New stimulation procedures for language mapping in stereo-EEG. Epilepsia 2024; 65:1720-1729. [PMID: 38581367 DOI: 10.1111/epi.17963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 03/08/2024] [Accepted: 03/11/2024] [Indexed: 04/08/2024]
Abstract
OBJECTIVE Cortical intracerebral electrical stimulation is an important tool for language mapping in the presurgical work-up of patients with drug-resistant focal epilepsy. Language mapping with stereo-electroencephalography (EEG) is usually performed by high-frequency stimulations (HFS: 50 Hz), whereas low-frequency stimulations (LFS: 1 Hz) are usually considered useful for primary cortices mapping. Little is known in literature about "intermediate" frequencies (IFS: 6-15 Hz). Our objective is to explore the clinical usefulness of IFS in language mapping and identify factors, beyond the electrical parameters, that impact the mapping. METHODS We studied 23 patients submitted to stereo-EEG for presurgical evaluation. Language mapping was performed in the anterior, posterior and/or basal language region of the dominant hemisphere for language. We included all contact positions within these regions stimulated by HFS (50 Hz, 5 s, 1-3 mA) and IFS (6-15 Hz, 15 s, 5 mA). We compared the capability of both stimulation methods to induce a language deficit without afterdischarges (ADs), and we analyzed factors related to clinical examination, region, and stimulation technique by multivariate analysis. RESULTS A total of 211 stimulations (98 HFS, 113 IFS) in 70 cortical sites within the anterior (84 stimulations), posterior (137), and basal language region (60) were included. IFS induced more frequently language deficits not associated to AD compared to HFS (37.1% vs 25.7%, p = .0043), whereas HFS provoked more diffuse AD (34.7% vs 15.0%, p = .001). Investigating multiple language functions increased the probability of revealing a deficit (odds ratio [OR] 3.16, p = .0016), independently of the stimulation method. SIGNIFICANCE IFS are valuable for language mapping, thereby improving the probability of inducing a clinical deficit not accompanied by an AD. The completeness of the clinical examination independently affects the sensitivity of the mapping. IFS are a new tool with potential usefulness for the cortical mapping of other associative cortical regions.
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Affiliation(s)
- Belén Abarrategui
- Neurology Department, Hospital Universitario Puerta de Hierro, Majadahonda, Spain
- Claudio Munari Epilepsy Surgery Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- Istituto di Neuroscienze, Consiglio Nazionale delle Ricerche, Parma, Italy
| | - Veronica Pelliccia
- Claudio Munari Epilepsy Surgery Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Ginevra Giovannelli
- Claudio Munari Epilepsy Surgery Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- Department of Neurology 2, Careggi University Hospital, Florence, Italy
| | - Michele Nichelatti
- Service of Biostatistics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Serena Valenzano
- Center for Neuroscience, University of Camerino, Camerino, Italy
- Department of Biomedical and Clinical Sciences "L. Sacco", Università Degli Studi di Milano, Milan, Italy
| | - Ezequiel Mikulan
- Department of Health Sciences, Università Degli Studi di Milano, Milan, Italy
| | - Andrea Pigorini
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- UOC Maxillo-facial Surgery and Dentistry, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Martina Revay
- Claudio Munari Epilepsy Surgery Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- Department of Medicine and Surgery, Unit of Neuroscience, University of Parma, Parma, Italy
| | - Pina Scarpa
- Department of Neuroscience, Cognitive Neuropsychology Centre, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Laura Tassi
- Claudio Munari Epilepsy Surgery Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
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8
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Yu L, Dugan P, Doyle W, Devinsky O, Friedman D, Flinker A. A left-lateralized dorsolateral prefrontal network for naming. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.15.594403. [PMID: 38798614 PMCID: PMC11118423 DOI: 10.1101/2024.05.15.594403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
The ability to connect the form and meaning of a concept, known as word retrieval, is fundamental to human communication. While various input modalities could lead to identical word retrieval, the exact neural dynamics supporting this convergence relevant to daily auditory discourse remain poorly understood. Here, we leveraged neurosurgical electrocorticographic (ECoG) recordings from 48 patients and dissociated two key language networks that highly overlap in time and space integral to word retrieval. Using unsupervised temporal clustering techniques, we found a semantic processing network located in the middle and inferior frontal gyri. This network was distinct from an articulatory planning network in the inferior frontal and precentral gyri, which was agnostic to input modalities. Functionally, we confirmed that the semantic processing network encodes word surprisal during sentence perception. Our findings characterize how humans integrate ongoing auditory semantic information over time, a critical linguistic function from passive comprehension to daily discourse.
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Affiliation(s)
- Leyao Yu
- Department of Biomedical Engineering, New York University, New York, 10016, New York, the United States
- Department of Neurology, School of Medicine, New York University, New York, 10016, New York, the United States
| | - Patricia Dugan
- Department of Neurology, School of Medicine, New York University, New York, 10016, New York, the United States
| | - Werner Doyle
- Department of Neurosurgery, School of Medicine, New York University, New York, 10016, New York, the United States
| | - Orrin Devinsky
- Department of Neurology, School of Medicine, New York University, New York, 10016, New York, the United States
| | - Daniel Friedman
- Department of Neurology, School of Medicine, New York University, New York, 10016, New York, the United States
| | - Adeen Flinker
- Department of Biomedical Engineering, New York University, New York, 10016, New York, the United States
- Department of Neurology, School of Medicine, New York University, New York, 10016, New York, the United States
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9
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Hensel L, Lüdtke J, Brouzou KO, Eickhoff SB, Kamp D, Schilbach L. Noninvasive brain stimulation in autism: review and outlook for personalized interventions in adult patients. Cereb Cortex 2024; 34:8-18. [PMID: 38696602 DOI: 10.1093/cercor/bhae096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 02/13/2024] [Accepted: 02/21/2024] [Indexed: 05/04/2024] Open
Abstract
Noninvasive brain stimulation (NIBS) has been increasingly investigated during the last decade as a treatment option for persons with autism spectrum disorder (ASD). Yet, previous studies did not reach a consensus on a superior treatment protocol or stimulation target. Persons with ASD often suffer from social isolation and high rates of unemployment, arising from difficulties in social interaction. ASD involves multiple neural systems involved in perception, language, and cognition, and the underlying brain networks of these functional domains have been well documented. Aiming to provide an overview of NIBS effects when targeting these neural systems in late adolescent and adult ASD, we conducted a systematic search of the literature starting at 631 non-duplicate publications, leading to six studies corresponding with inclusion and exclusion criteria. We discuss these studies regarding their treatment rationale and the accordingly chosen methodological setup. The results of these studies vary, while methodological advances may allow to explain some of the variability. Based on these insights, we discuss strategies for future clinical trials to personalize the selection of brain stimulation targets taking into account intersubject variability of brain anatomy as well as function.
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Affiliation(s)
- Lukas Hensel
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Department of General Psychiatry 2, LVR-Klinikum Düsseldorf, Bergische Landstraße 2, 40629 Düsseldorf, Germany
| | - Jana Lüdtke
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Department of General Psychiatry 2, LVR-Klinikum Düsseldorf, Bergische Landstraße 2, 40629 Düsseldorf, Germany
| | - Katia O Brouzou
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Department of General Psychiatry 2, LVR-Klinikum Düsseldorf, Bergische Landstraße 2, 40629 Düsseldorf, Germany
- Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Wilhelm-Johnen-Straße 1, 52428 Jülich, Germany
| | - Daniel Kamp
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Department of General Psychiatry 2, LVR-Klinikum Düsseldorf, Bergische Landstraße 2, 40629 Düsseldorf, Germany
| | - Leonhard Schilbach
- Department of General Psychiatry 2, LVR-Klinikum Düsseldorf, Bergische Landstraße 2, 40629 Düsseldorf, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilians University Munich, Nußbaumstraße 7, 80336 Munich, Germany
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10
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Kram L, Neu B, Schroeder A, Wiestler B, Meyer B, Krieg SM, Ille S. Toward a systematic grading for the selection of patients to undergo awake surgery: identifying suitable predictor variables. Front Hum Neurosci 2024; 18:1365215. [PMID: 38756845 PMCID: PMC11096515 DOI: 10.3389/fnhum.2024.1365215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 04/11/2024] [Indexed: 05/18/2024] Open
Abstract
Background Awake craniotomy is the standard of care for treating language eloquent gliomas. However, depending on preoperative functionality, it is not feasible in each patient and selection criteria are highly heterogeneous. Thus, this study aimed to identify broadly applicable predictor variables allowing for a more systematic and objective patient selection. Methods We performed post-hoc analyses of preoperative language status, patient and tumor characteristics including language eloquence of 96 glioma patients treated in a single neurosurgical center between 05/2018 and 01/2021. Multinomial logistic regression and stepwise variable selection were applied to identify significant predictors of awake surgery feasibility. Results Stepwise backward selection confirmed that a higher number of paraphasias, lower age, and high language eloquence level were suitable indicators for an awake surgery in our cohort. Subsequent descriptive and ROC-analyses indicated a cut-off at ≤54 years and a language eloquence level of at least 6 for awake surgeries, which require further validation. A high language eloquence, lower age, preexisting semantic and phonological aphasic symptoms have shown to be suitable predictors. Conclusion The combination of these factors may act as a basis for a systematic and standardized grading of patients' suitability for an awake craniotomy which is easily integrable into the preoperative workflow across neurosurgical centers.
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Affiliation(s)
- Leonie Kram
- Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht-Karls-University of Heidelberg, Heidelberg, Germany
| | - Beate Neu
- Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Axel Schroeder
- Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Benedikt Wiestler
- Section of Diagnostic and Interventional Neuroradiology, Department of Radiology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Bernhard Meyer
- Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Sandro M. Krieg
- Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht-Karls-University of Heidelberg, Heidelberg, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Sebastian Ille
- Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht-Karls-University of Heidelberg, Heidelberg, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
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11
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Wang F, Ren J, Cui W, Zhou Y, Yao P, Lai X, Pang Y, Chen Z, Lin Y, Liu H. Verbal memory network mapping in individual patients predicts postoperative functional impairments. Hum Brain Mapp 2024; 45:e26691. [PMID: 38703114 PMCID: PMC11069337 DOI: 10.1002/hbm.26691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 03/15/2024] [Accepted: 04/08/2024] [Indexed: 05/06/2024] Open
Abstract
Verbal memory decline is a significant concern following temporal lobe surgeries in patients with epilepsy, emphasizing the need for precision presurgical verbal memory mapping to optimize functional outcomes. However, the inter-individual variability in functional networks and brain function-structural dissociations pose challenges when relying solely on group-level atlases or anatomical landmarks for surgical guidance. Here, we aimed to develop and validate a personalized functional mapping technique for verbal memory using precision resting-state functional MRI (rs-fMRI) and neurosurgery. A total of 38 patients with refractory epilepsy scheduled for surgical interventions were enrolled and 28 patients were analyzed in the study. Baseline 30-min rs-fMRI scanning, verbal memory and language assessments were collected for each patient before surgery. Personalized verbal memory networks (PVMN) were delineated based on preoperative rs-fMRI data for each patient. The accuracy of PVMN was assessed by comparing post-operative functional impairments and the overlapping extent between PVMN and surgical lesions. A total of 14 out of 28 patients experienced clinically meaningful declines in verbal memory after surgery. The personalized network and the group-level atlas exhibited 100% and 75.0% accuracy in predicting postoperative verbal memory declines, respectively. Moreover, six patients with extra-temporal lesions that overlapped with PVMN showed selective impairments in verbal memory. Furthermore, the lesioned ratio of the personalized network rather than the group-level atlas was significantly correlated with postoperative declines in verbal memory (personalized networks: r = -0.39, p = .038; group-level atlas: r = -0.19, p = .332). In conclusion, our personalized functional mapping technique, using precision rs-fMRI, offers valuable insights into individual variability in the verbal memory network and holds promise in precision verbal memory network mapping in individuals.
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Affiliation(s)
- Feng Wang
- Department of Neurosurgery, Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | | | | | | | - Peisen Yao
- Department of Neurosurgery, Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Department of Neurosurgery, Binhai Branch of National Regional Medical CenterThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Fujian Provincial Institutes of Brain Disorders and Brain SciencesThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | - Xuemiao Lai
- Department of Neurosurgery, Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Department of Neurosurgery, Binhai Branch of National Regional Medical CenterThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Fujian Provincial Institutes of Brain Disorders and Brain SciencesThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | - Yue Pang
- Department of Neurosurgery, Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Department of Neurosurgery, Binhai Branch of National Regional Medical CenterThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Fujian Provincial Institutes of Brain Disorders and Brain SciencesThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | - Zhili Chen
- Department of Neurosurgery, Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Department of Neurosurgery, Binhai Branch of National Regional Medical CenterThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Fujian Provincial Institutes of Brain Disorders and Brain SciencesThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | - Yuanxiang Lin
- Department of Neurosurgery, Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Department of Neurosurgery, Binhai Branch of National Regional Medical CenterThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
- Fujian Provincial Institutes of Brain Disorders and Brain SciencesThe First Affiliated Hospital of Fujian Medical UniversityFuzhouChina
| | - Hesheng Liu
- Changping LaboratoryBeijingChina
- Biomedical Pioneering Innovation Center (BIOPIC)Peking UniversityBeijingChina
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12
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Coletta L, Avesani P, Zigiotto L, Venturini M, Annicchiarico L, Vavassori L, Ng S, Duffau H, Sarubbo S. Integrating direct electrical brain stimulation with the human connectome. Brain 2024; 147:1100-1111. [PMID: 38048613 PMCID: PMC10907080 DOI: 10.1093/brain/awad402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 10/20/2023] [Accepted: 11/18/2023] [Indexed: 12/06/2023] Open
Abstract
Neurological and neurodevelopmental conditions are a major public health concern for which new therapies are urgently needed. The development of effective therapies relies on the precise mapping of the neural substrates causally involved in behaviour generation. Direct electrical stimulation (DES) performed during cognitive and neurological monitoring in awake surgery is currently considered the gold standard for the causal mapping of brain functions. However, DES is limited by the focal nature of the stimulation sites, hampering a real holistic exploration of human brain functions at the network level. We used 4137 DES points derived from 612 glioma patients in combination with human connectome data-resting-state functional MRI, n = 1000 and diffusion weighted imaging, n = 284-to provide a multimodal description of the causal macroscale functional networks subtending 12 distinct behavioural domains. To probe the validity of our procedure, we (i) compared the network topographies of healthy and clinical populations; (ii) tested the predictive capacity of DES-derived networks; (iii) quantified the coupling between structural and functional connectivity; and (iv) built a multivariate model able to quantify single subject deviations from a normative population. Lastly, we probed the translational potential of DES-derived functional networks by testing their specificity and sensitivity in identifying critical neuromodulation targets and neural substrates associated with postoperative language deficits. The combination of DES and human connectome data resulted in an average 29.4-fold increase in whole brain coverage compared to DES alone. DES-derived functional networks are predictive of future stimulation points (97.8% accuracy) and strongly supported by the anatomical connectivity of subcortical stimulations. We did not observe any significant topographical differences between the patients and the healthy population at both group and single subject level. Showcasing concrete clinical applications, we found that DES-derived functional networks overlap with effective neuromodulation targets across several functional domains, show a high degree of specificity when tested with the intracranial stimulation points of a different stimulation technique and can be used effectively to characterize postoperative behavioural deficits. The integration of DES with the human connectome fundamentally advances the quality of the functional mapping provided by DES or functional imaging alone. DES-derived functional networks can reliably predict future stimulation points, have a strong correspondence with the underlying white matter and can be used for patient specific functional mapping. Possible applications range from psychiatry and neurology to neuropsychology, neurosurgery and neurorehabilitation.
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Affiliation(s)
- Ludovico Coletta
- Neuroinformatics Laboratory (NiLab), Bruno Kessler Foundation (FBK), Trento 38123, Italy
- Center for Mind/Brain Sciences – CIMeC, University of Trento, Rovereto 38068, Italy
| | - Paolo Avesani
- Neuroinformatics Laboratory (NiLab), Bruno Kessler Foundation (FBK), Trento 38123, Italy
- Center for Mind/Brain Sciences – CIMeC, University of Trento, Rovereto 38068, Italy
| | - Luca Zigiotto
- Department of Neurosurgery, S. Chiara Hospital, Trento 38122, Italy
- Structural and Functional Connectivity Lab Project, S. Chiara Hospital, Trento 38122, Italy
- Department of Psychology, S. Chiara Hospital, Trento 38122, Italy
| | - Martina Venturini
- Department of Biotechnology and Life Sciences, Division of Neurosurgery, University of Insubria, Ospedale di Circolo e Fondazione Macchi, Varese 21100, Italy
| | - Luciano Annicchiarico
- Department of Neurosurgery, S. Chiara Hospital, Trento 38122, Italy
- Structural and Functional Connectivity Lab Project, S. Chiara Hospital, Trento 38122, Italy
| | - Laura Vavassori
- Center for Mind/Brain Sciences – CIMeC, University of Trento, Rovereto 38068, Italy
- Department of Neurosurgery, S. Chiara Hospital, Trento 38122, Italy
- Structural and Functional Connectivity Lab Project, S. Chiara Hospital, Trento 38122, Italy
| | - Sam Ng
- Institute of Functional Genomics, University of Montpellier, CNRS, INSERM, Montpellier 34094, France
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier 34295, France
| | - Hugues Duffau
- Institute of Functional Genomics, University of Montpellier, CNRS, INSERM, Montpellier 34094, France
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier 34295, France
| | - Silvio Sarubbo
- Department of Neurosurgery, S. Chiara Hospital, Trento 38122, Italy
- Structural and Functional Connectivity Lab Project, S. Chiara Hospital, Trento 38122, Italy
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13
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Frauscher B, Mansilla D, Abdallah C, Astner-Rohracher A, Beniczky S, Brazdil M, Gnatkovsky V, Jacobs J, Kalamangalam G, Perucca P, Ryvlin P, Schuele S, Tao J, Wang Y, Zijlmans M, McGonigal A. Learn how to interpret and use intracranial EEG findings. Epileptic Disord 2024; 26:1-59. [PMID: 38116690 DOI: 10.1002/epd2.20190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/21/2023] [Accepted: 11/29/2023] [Indexed: 12/21/2023]
Abstract
Epilepsy surgery is the therapy of choice for many patients with drug-resistant focal epilepsy. Recognizing and describing ictal and interictal patterns with intracranial electroencephalography (EEG) recordings is important in order to most efficiently leverage advantages of this technique to accurately delineate the seizure-onset zone before undergoing surgery. In this seminar in epileptology, we address learning objective "1.4.11 Recognize and describe ictal and interictal patterns with intracranial recordings" of the International League against Epilepsy curriculum for epileptologists. We will review principal considerations of the implantation planning, summarize the literature for the most relevant ictal and interictal EEG patterns within and beyond the Berger frequency spectrum, review invasive stimulation for seizure and functional mapping, discuss caveats in the interpretation of intracranial EEG findings, provide an overview on special considerations in children and in subdural grids/strips, and review available quantitative/signal analysis approaches. To be as practically oriented as possible, we will provide a mini atlas of the most frequent EEG patterns, highlight pearls for its not infrequently challenging interpretation, and conclude with two illustrative case examples. This article shall serve as a useful learning resource for trainees in clinical neurophysiology/epileptology by providing a basic understanding on the concepts of invasive intracranial EEG.
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Affiliation(s)
- B Frauscher
- Department of Neurology, Duke University Medical Center and Department of Biomedical Engineering, Duke Pratt School of Engineering, Durham, North Carolina, USA
- Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, Montreal, Québec, Canada
| | - D Mansilla
- Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, Montreal, Québec, Canada
- Neurophysiology Unit, Institute of Neurosurgery Dr. Asenjo, Santiago, Chile
| | - C Abdallah
- Analytical Neurophysiology Lab, Montreal Neurological Institute and Hospital, Montreal, Québec, Canada
| | - A Astner-Rohracher
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - S Beniczky
- Danish Epilepsy Centre, Dianalund, Denmark
- Aarhus University, Aarhus, Denmark
| | - M Brazdil
- Brno Epilepsy Center, Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Member of the ERN-EpiCARE, Brno, Czechia
- Behavioral and Social Neuroscience Research Group, Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - V Gnatkovsky
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - J Jacobs
- Department of Paediatrics and Department of Neuroscience, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute and Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - G Kalamangalam
- Department of Neurology, University of Florida, Gainesville, Florida, USA
- Wilder Center for Epilepsy Research, University of Florida, Gainesville, Florida, USA
| | - P Perucca
- Epilepsy Research Centre, Department of Medicine (Austin Health), University of Melbourne, Melbourne, Victoria, Australia
- Bladin-Berkovic Comprehensive Epilepsy Program, Department of Neurology, Austin Health, Melbourne, Victoria, Australia
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
- Department of Neurology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - P Ryvlin
- Department of Clinical Neurosciences, CHUV, Lausanne University Hospital, Lausanne, Switzerland
| | - S Schuele
- Department of Neurology, Feinberg School of Medicine, Northwestern Memorial Hospital, Chicago, Illinois, USA
| | - J Tao
- Department of Neurology, The University of Chicago, Chicago, Illinois, USA
| | - Y Wang
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Wilder Center for Epilepsy Research, University of Florida, Gainesville, Florida, USA
| | - M Zijlmans
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
- Stichting Epilepsie Instellingen Nederland (SEIN), Heemstede, The Netherlands
| | - A McGonigal
- Department of Neurosciences, Mater Misericordiae Hospital, Brisbane, Queensland, Australia
- Mater Research Institute, Faculty of Medicine, University of Queensland, St Lucia, Queensland, Australia
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14
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Ji Z, Song RR, Swan AR, Angeles Quinto A, Lee RR, Huang M. Magnetoencephalography Language Mapping Using Auditory Memory Retrieval and Silent Repeating Task. J Clin Neurophysiol 2024; 41:148-154. [PMID: 35512180 PMCID: PMC9633581 DOI: 10.1097/wnp.0000000000000947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
PURPOSE The study aims to (1) examine the spatiotemporal map of magnetoencephalography-evoked responses during an Auditory Memory Retrieval and Silent Repeating (AMRSR) task, and determine the hemispheric dominance for language, and (2) evaluate the accuracy of the AMRSR task in Wernicke and Broca area localization. METHODS In 30 patients with brain tumors and/or epilepsies, the AMRSR task was used to evoke magnetoencephalography responses. We applied Fast VEctor-based Spatial-Temporal Analyses with minimum L1-norm source imaging method to the magnetoencephalography responses for localizing the brain areas evoked by the AMRSR task. RESULTS The Fast-VEctor-based Spatial-Temporal Analysis found consistent activation in the posterior superior temporal gyrus around 300 to 500 ms, and another activation in the frontal cortex (pars opercularis and/or pars triangularis) around 600 to 900 ms, which were localized to the Wernicke area (BA 22) and Broca area (BA 44 and BA 45), respectively. The language-dominant hemispheric laterization elicited by the AMRSR task was comparable with the result from an Auditory Dichotic task result given to the same patient, with the exception that AMRSR is more sensitive on bilateral language laterization cases on finding the Wernicke and Broca areas. CONCLUSIONS For all patients who successfully finished the AMRSR task, Fast-VEctor-based Spatial-Temporal Analysis could establish accurate and robust localizations of Broca and Wernicke area and determine hemispheric dominance. For subjects with normal auditory functionality, the AMRSR paradigm evaluation showed significant promise in providing reliable assessments of cerebral language dominance and language network localization.
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Affiliation(s)
- Zhengwei Ji
- Radiology Department, University of California, San Diego, California, U.S.A
| | - Ryan R. Song
- Department of Molecular and Cell Biology, University of California, Berkeley, California, U.S.A.; and
| | - Ashley Robb Swan
- Radiology Department, University of California, San Diego, California, U.S.A
| | | | - Roland R. Lee
- Radiology Department, University of California, San Diego, California, U.S.A
- Radiology Service, San Diego VA Healthcare System, San Diego, California, U.S.A
| | - Mingxiong Huang
- Radiology Department, University of California, San Diego, California, U.S.A
- Radiology Service, San Diego VA Healthcare System, San Diego, California, U.S.A
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Yang J, Shen L, Long Q, Li W, Zhang W, Chen Q, Han B. Electrical stimulation induced self-related auditory hallucinations correlate with oscillatory power change in the default mode network. Cereb Cortex 2024; 34:bhad473. [PMID: 38061695 DOI: 10.1093/cercor/bhad473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 11/17/2023] [Accepted: 11/18/2023] [Indexed: 01/19/2024] Open
Abstract
Self-related information is crucial in our daily lives, which has led to the proposal that there is a specific brain mechanism for processing it. Neuroimaging studies have consistently demonstrated that the default mode network (DMN) is strongly associated with the representation and processing of self-related information. However, the precise relationship between DMN activity and self-related information, particularly in terms of neural oscillations, remains largely unknown. We electrically stimulated the superior temporal and fusiform areas, using stereo-electroencephalography to investigate neural oscillations associated with elicited self-related auditory hallucinations. Twenty-two instances of auditory hallucinations were recorded and categorized into self-related and other-related conditions. Comparing oscillatory power changes within the DMN between self-related and other-related auditory hallucinations, we discovered that self-related hallucinations are associated with significantly stronger positive power changes in both alpha and gamma bands compared to other-related hallucinations. To ensure the validity of our findings, we conducted controlled analyses for factors of familiarity and clarity, which revealed that the observed effects within the DMN remain independent of these factors. These results underscore the significance of the functional role of the DMN during the processing of self-related auditory hallucinations and shed light on the relationship between self-related perception and neural oscillatory activity.
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Affiliation(s)
- Jing Yang
- Center for Studies of Psychological Application, South China Normal University, No.55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
- School of Psychology, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
| | - Lu Shen
- Center for Studies of Psychological Application, South China Normal University, No.55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
- School of Psychology, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
| | - Qiting Long
- School of Psychology, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
| | - Wenjie Li
- School of Psychology, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
| | - Wei Zhang
- Department of Neurology, Beijing Tsinghua Changgung Hospital, Litang Road No. 168, Changping District, 102218, Beijing, China
- Epilepsy Center, Shanghai Neuromedical Center, Gulang Road No. 378, Putuo District, 200331, Shanghai, China
| | - Qi Chen
- Center for Studies of Psychological Application, South China Normal University, No.55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
- School of Psychology, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
| | - Biao Han
- Center for Studies of Psychological Application, South China Normal University, No.55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
- School of Psychology, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
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Baurès R, Leblond S, Dewailly A, Cherubini M, Subramanian LD, Kearney JK, Durand JB, Roux FE. Should I stay or should I go? The cerebral bases of street-crossing decision. J Neurosci Res 2024; 102:e25279. [PMID: 38284833 DOI: 10.1002/jnr.25279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/11/2023] [Accepted: 11/13/2023] [Indexed: 01/30/2024]
Abstract
An observer willing to cross a street must first estimate if the approaching cars offer enough time to safely complete the task. The brain areas supporting this perception, known as Time-To-Contact (TTC) perception, have been mainly studied through noninvasive correlational approaches. We carried out an experiment in which patients were tested during an awake brain surgery electrostimulation mapping to examine the causal implication of various brain areas in the street-crossing decision process. Forty patients were tested in a gap acceptance task before their surgery to establish a baseline performance. The task was individually adapted upon this baseline level and carried out during their surgery. We acquired and normalized to MNI space the coordinates of the functional areas that influenced task performance. A total of 103 stimulation sites were tested, allowing to establish a large map of the areas involved in the street-crossing decision. Multiple sites were found to impact the gap acceptance decision. A direct implication was however found mostly for sites within the right parietal lobe, while indirect implication was found for sites within the language, motor, or attentional networks. The right parietal lobe can be considered as causally influencing the gap acceptance decision. Other positive sites were all accompanied with dysfunction in other cognitive functions, and therefore should probably not be considered as the site of TTC estimation.
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Affiliation(s)
- Robin Baurès
- CerCo, Université de Toulouse, CNRS, UPS, CHU Purpan, Toulouse, France
| | - Solène Leblond
- CerCo, Université de Toulouse, CNRS, UPS, CHU Purpan, Toulouse, France
| | - Andrea Dewailly
- CerCo, Université de Toulouse, CNRS, UPS, CHU Purpan, Toulouse, France
| | - Marta Cherubini
- CerCo, Université de Toulouse, CNRS, UPS, CHU Purpan, Toulouse, France
| | | | | | | | - Franck Emmanuel Roux
- CerCo, Université de Toulouse, CNRS, UPS, CHU Purpan, Toulouse, France
- Pôle Neurosciences (Neurochirurgie), Centres Hospitalo-Universitaires, Toulouse, France
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Ghazaryan G, van Vliet M, Lammi L, Lindh-Knuutila T, Kivisaari S, Hultén A, Salmelin R. Cortical time-course of evidence accumulation during semantic processing. Commun Biol 2023; 6:1242. [PMID: 38066098 PMCID: PMC10709650 DOI: 10.1038/s42003-023-05611-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
Our understanding of the surrounding world and communication with other people are tied to mental representations of concepts. In order for the brain to recognize an object, it must determine which concept to access based on information available from sensory inputs. In this study, we combine magnetoencephalography and machine learning to investigate how concepts are represented and accessed in the brain over time. Using brain responses from a silent picture naming task, we track the dynamics of visual and semantic information processing, and show that the brain gradually accumulates information on different levels before eventually reaching a plateau. The timing of this plateau point varies across individuals and feature models, indicating notable temporal variation in visual object recognition and semantic processing.
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Affiliation(s)
- Gayane Ghazaryan
- Department of Neuroscience and Biomedical Engineering, Aalto University, P.O. Box 12200, FI-00076, Aalto, Finland.
| | - Marijn van Vliet
- Department of Neuroscience and Biomedical Engineering, Aalto University, P.O. Box 12200, FI-00076, Aalto, Finland
| | - Lotta Lammi
- Department of Neuroscience and Biomedical Engineering, Aalto University, P.O. Box 12200, FI-00076, Aalto, Finland
| | - Tiina Lindh-Knuutila
- Department of Neuroscience and Biomedical Engineering, Aalto University, P.O. Box 12200, FI-00076, Aalto, Finland
| | - Sasa Kivisaari
- Department of Neuroscience and Biomedical Engineering, Aalto University, P.O. Box 12200, FI-00076, Aalto, Finland
| | - Annika Hultén
- Department of Neuroscience and Biomedical Engineering, Aalto University, P.O. Box 12200, FI-00076, Aalto, Finland
- Aalto NeuroImaging, Aalto University, P.O. Box 12200, Aalto, FI-00076, Finland
| | - Riitta Salmelin
- Department of Neuroscience and Biomedical Engineering, Aalto University, P.O. Box 12200, FI-00076, Aalto, Finland
- Aalto NeuroImaging, Aalto University, P.O. Box 12200, Aalto, FI-00076, Finland
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18
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Castellucci GA, Kovach CK, Tabasi F, Christianson D, Greenlee JD, Long MA. A frontal cortical network is critical for language planning during spoken interaction. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.26.554639. [PMID: 37693383 PMCID: PMC10491113 DOI: 10.1101/2023.08.26.554639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Many brain areas exhibit activity correlated with language planning, but the impact of these dynamics on spoken interaction remains unclear. Here we use direct electrical stimulation to transiently perturb cortical function in neurosurgical patient-volunteers performing a question-answer task. Stimulating structures involved in speech motor function evoked diverse articulatory deficits, while perturbations of caudal inferior and middle frontal gyri - which exhibit preparatory activity during conversational turn-taking - led to response errors. Perturbation of the same planning-related frontal regions slowed inter-speaker timing, while faster responses could result from stimulation of sites located in other areas. Taken together, these findings further indicate that caudal inferior and middle frontal gyri constitute a critical planning network essential for interactive language use.
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Pinto Y, Villa MC, Siliquini S, Polonara G, Passamonti C, Lattanzi S, Foschi N, Fabri M, de Haan EHF. Visual integration across fixation: automatic processes are split but conscious processes remain unified in the split-brain. Front Hum Neurosci 2023; 17:1278025. [PMID: 38021222 PMCID: PMC10667445 DOI: 10.3389/fnhum.2023.1278025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 09/26/2023] [Indexed: 12/01/2023] Open
Abstract
The classic view holds that when "split-brain" patients are presented with an object in the right visual field, they will correctly identify it verbally and with the right hand. However, when the object is presented in the left visual field, the patient verbally states that he saw nothing but nevertheless identifies it accurately with the left hand. This interaction suggests that perception, recognition and responding are separated in the two isolated hemispheres. However, there is now accumulating evidence that this interaction is not absolute; for instance, split-brain patients are able to detect and localise stimuli anywhere in the visual field verbally and with either hand. In this study we set out to explore this cross-hemifield interaction in more detail with the split-brain patient DDC and carried out two experiments. The aim of these experiments is to unveil the unity of deliberate and automatic processing in the context of visual integration across hemispheres. Experiment 1 suggests that automatic processing is split in this context. In contrast, when the patient is forced to adopt a conscious, deliberate, approach, processing seemed to be unified across visual fields (and thus across hemispheres). First, we looked at the confidence that DDC has in his responses. The experiment involved a simultaneous "same" versus "different" matching task with two shapes presented either within one hemifield or across fixation. The results showed that we replicated the observation that split brain patients cannot match across fixation, but more interesting, that DDC was very confident in the across-fixation condition while performing at chance-level. On the basis of this result, we hypothesised a two-route explanation. In healthy subjects, the visual information from the two hemifields is integrated in an automatic, unconscious fashion via the intact splenium, and this route has been severed in DDC. However, we know from previous experiments that some transfer of information remains possible. We proposed that this second route (perhaps less visual; more symbolic) may become apparent when he is forced to use a deliberate, consciously controlled approach. In an experiment where he is informed, by a second stimulus presented in one hemifield, what to do with the first stimulus that was presented in the same or the opposite hemifield, we showed that there was indeed interhemispheric transfer of information. We suggest that this two-route model may help in clarifying some of the controversial issues in split-brain research.
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Affiliation(s)
- Yair Pinto
- Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Brain and Cognition (ABC) Center, University of Amsterdam, Amsterdam, Netherlands
| | | | - Sabrina Siliquini
- Child Neuropsychiatry Unit, Marche Polytechnic University, Ancona, Italy
| | - Gabriele Polonara
- Department of Odontostomatologic and Specialized Clinical Sciences, Marche Polytechnic University, Ancona, Italy
| | | | - Simona Lattanzi
- Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy
| | - Nicoletta Foschi
- Epilepsy Center-Neurological Clinic, Azienda “Ospedali Riuniti”, Ancona, Italy
| | - Mara Fabri
- Department of Experimental and Clinical Medicine, Marche Polytechnic University, Ancona, Italy
| | - Edward H. F. de Haan
- Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Brain and Cognition (ABC) Center, University of Amsterdam, Amsterdam, Netherlands
- Donders Institute, Radboud University, Nijmegen, Netherlands
- St. Hugh’s College, Oxford University, Oxford, United Kingdom
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20
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Papanicolaou AC. Non-Invasive Mapping of the Neuronal Networks of Language. Brain Sci 2023; 13:1457. [PMID: 37891824 PMCID: PMC10605023 DOI: 10.3390/brainsci13101457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/13/2023] [Accepted: 10/05/2023] [Indexed: 10/29/2023] Open
Abstract
This review consists of three main sections. In the first, the Introduction, the main theories of the neuronal mediation of linguistic operations, derived mostly from studies of the effects of focal lesions on linguistic performance, are summarized. These models furnish the conceptual framework on which the design of subsequent functional neuroimaging investigations is based. In the second section, the methods of functional neuroimaging, especially those of functional Magnetic Resonance Imaging (fMRI) and of Magnetoencephalography (MEG), are detailed along with the specific activation tasks employed in presurgical functional mapping. The reliability of these non-invasive methods and their validity, judged against the results of the invasive methods, namely, the "Wada" procedure and Cortical Stimulation Mapping (CSM), is assessed and their use in presurgical mapping is justified. In the third and final section, the applications of fMRI and MEG in basic research are surveyed in the following six sub-sections, each dealing with the assessment of the neuronal networks for (1) the acoustic and phonological, (2) for semantic, (3) for syntactic, (4) for prosodic operations, (5) for sign language and (6) for the operations of reading and the mechanisms of dyslexia.
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Affiliation(s)
- Andrew C Papanicolaou
- Department of Pediatrics, Division of Pediatric Neurology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38013, USA
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Abarrategui B, Mariani V, Rizzi M, Berta L, Scarpa P, Zauli FM, Squarza S, Banfi P, d’Orio P, Cardinale F, Del Vecchio M, Caruana F, Avanzini P, Sartori I. Language lateralization mapping (reversibly) masked by non-dominant focal epilepsy: a case report. Front Hum Neurosci 2023; 17:1254779. [PMID: 37900727 PMCID: PMC10600519 DOI: 10.3389/fnhum.2023.1254779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 09/15/2023] [Indexed: 10/31/2023] Open
Abstract
Language lateralization in patients with focal epilepsy frequently diverges from the left-lateralized pattern that prevails in healthy right-handed people, but the mechanistic explanations are still a matter of debate. Here, we debate the complex interaction between focal epilepsy, language lateralization, and functional neuroimaging techniques by introducing the case of a right-handed patient with unaware focal seizures preceded by aphasia, in whom video-EEG and PET examination suggested the presence of focal cortical dysplasia in the right superior temporal gyrus, despite a normal structural MRI. The functional MRI for language was inconclusive, and the neuropsychological evaluation showed mild deficits in language functions. A bilateral stereo-EEG was proposed confirming the right superior temporal gyrus origin of seizures, revealing how ictal aphasia emerged only once seizures propagated to the left superior temporal gyrus and confirming, by cortical mapping, the left lateralization of the posterior language region. Stereo-EEG-guided radiofrequency thermocoagulations of the (right) focal cortical dysplasia not only reduced seizure frequency but led to the normalization of the neuropsychological assessment and the "restoring" of a classical left-lateralized functional MRI pattern of language. This representative case demonstrates that epileptiform activity in the superior temporal gyrus can interfere with the functioning of the contralateral homologous cortex and its associated network. In the case of presurgical evaluation in patients with epilepsy, this interference effect must be carefully taken into consideration. The multimodal language lateralization assessment reported for this patient further suggests the sensitivity of different explorations to this interference effect. Finally, the neuropsychological and functional MRI changes after thermocoagulations provide unique cues on the network pathophysiology of focal cortical dysplasia and the role of diverse techniques in indexing language lateralization in complex scenarios.
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Affiliation(s)
- Belén Abarrategui
- “Claudio Munari” Epilepsy Surgery Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- Department of Neurology, Hospital Universitario Puerta de Hierro, Majadahonda, Spain
| | - Valeria Mariani
- “Claudio Munari” Epilepsy Surgery Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- Neurology and Stroke Unit, ASST Santi Paolo e Carlo, Presidio San Carlo Borromeo, Milan, Italy
| | - Michele Rizzi
- “Claudio Munari” Epilepsy Surgery Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Luca Berta
- Department of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Pina Scarpa
- Cognitive Neuropsychology Centre, Department of Neuroscience, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Flavia Maria Zauli
- “Claudio Munari” Epilepsy Surgery Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, Milan, Italy
- Department of Philosophy “P. Martinetti”, Università degli Studi di Milano, Milan, Italy
| | - Silvia Squarza
- Department of Neuroradiology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Paola Banfi
- Neurology and Stroke Unit, ASST Sette Laghi Ospedale di Circolo, Varese, Italy
| | - Piergiorgio d’Orio
- “Claudio Munari” Epilepsy Surgery Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- Unit of Neuroscience, Department of Medicine and Surgery, Università degli Studi di Parma, Parma, Italy
- Institute of Neuroscience, Consiglio Nazionale delle Ricerche, Parma, Italy
| | - Francesco Cardinale
- “Claudio Munari” Epilepsy Surgery Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
- Unit of Neuroscience, Department of Medicine and Surgery, Università degli Studi di Parma, Parma, Italy
- Institute of Neuroscience, Consiglio Nazionale delle Ricerche, Parma, Italy
| | - Maria Del Vecchio
- Institute of Neuroscience, Consiglio Nazionale delle Ricerche, Parma, Italy
| | - Fausto Caruana
- Institute of Neuroscience, Consiglio Nazionale delle Ricerche, Parma, Italy
| | - Pietro Avanzini
- Institute of Neuroscience, Consiglio Nazionale delle Ricerche, Parma, Italy
| | - Ivana Sartori
- “Claudio Munari” Epilepsy Surgery Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
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Sala F. Intraoperative neurophysiology in pediatric neurosurgery: a historical perspective. Childs Nerv Syst 2023; 39:2929-2941. [PMID: 37776333 PMCID: PMC10613152 DOI: 10.1007/s00381-023-06155-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 09/07/2023] [Indexed: 10/02/2023]
Abstract
INTRODUCTION Intraoperative neurophysiology (ION) has been established over the past three decades as a valuable discipline to improve the safety of neurosurgical procedures with the main goal of reducing neurological morbidity. Neurosurgeons have substantially contributed to the development of this field not only by implementing the use and refinement of ION in the operating room but also by introducing novel techniques for both mapping and monitoring of neural pathways. METHODS This review provides a personal perspective on the evolution of ION in a variety of pediatric neurosurgical procedures: from brain tumor to brainstem surgery, from spinal cord tumor to tethered cord surgery. RESULTS AND DISCUSSION The contribution of pediatric neurosurgeons is highlighted showing how our discipline has played a crucial role in promoting ION at the turn of the century. Finally, a view on novel ION techniques and their potential implications for pediatric neurosurgery will provide insights into the future of ION, further supporting the view of a functional, rather than merely anatomical, approach to pediatric neurosurgery.
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Affiliation(s)
- Francesco Sala
- Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University Hospital, Verona, Italy.
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23
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D’Onofrio G, Icolaro N, Fazzari E, Catapano D, Curcio A, Izzi A, Manuali A, Bisceglia G, Tancredi A, Marchello V, Recchia A, Tonti MP, Pazienza L, Carotenuto V, Bonis CD, Savarese L, Gaudio AD, Gorgoglione LP. Real-Time Neuropsychological Testing (RTNT) and Music Listening during Glioblastoma Excision in Awake Surgery: A Case Report. J Clin Med 2023; 12:6086. [PMID: 37763026 PMCID: PMC10531570 DOI: 10.3390/jcm12186086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/01/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
In this case report, real-time neuropsychological testing (RTNT) and music listening were applied for resections in the left temporal-parietal lobe during awake surgery (AS). The case is based on a 66-year-old with glioblastoma and alterations in expressive language and memory deficit. Neuropsychological assessment was run at baseline (2-3 days before surgery), discharge from hospital (2-3 days after surgery), and follow-up (1 month and 3 months). RTNT was started before beginning the anesthetic approach (T0) and during tumor excision (T1 and T2). At T0, T1, and T2 (before performing neuropsychological tests), music listening was applied. Before AS and after music listening, the patient reported a decrease in depression and anxiety. During AS, an improvement was shown in all cognitive parameters collected at T0, T1, and T2. After the excision and music listening, the patient reported a further decrease in depression and anxiety. Three days post surgery, and at follow-ups of one month and three months, the patient reported a further improvement in cognitive aspects, the absence of depression, and a reduction in anxiety symptoms. In conclusion, RTNT has been useful in detecting cognitive function levels during tumor excision. Music listening during AS decreased the patient's anxiety and depression symptoms.
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Affiliation(s)
- Grazia D’Onofrio
- Clinical Psychology Service, Health Department, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy
| | - Nadia Icolaro
- Complex Unit of Neurosurgery, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (N.I.); (E.F.); (D.C.); (V.C.); (C.D.B.); (L.S.); (L.P.G.)
| | - Elena Fazzari
- Complex Unit of Neurosurgery, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (N.I.); (E.F.); (D.C.); (V.C.); (C.D.B.); (L.S.); (L.P.G.)
| | - Domenico Catapano
- Complex Unit of Neurosurgery, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (N.I.); (E.F.); (D.C.); (V.C.); (C.D.B.); (L.S.); (L.P.G.)
| | - Antonello Curcio
- Division of Neurosurgery, BIOMORF Department, University of Messina, 98122 Messina, Italy;
| | - Antonio Izzi
- Complex Unit of Anesthesia-2, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (A.I.); (A.M.); (G.B.); (A.T.); (V.M.); (A.R.); (M.P.T.); (A.D.G.)
| | - Aldo Manuali
- Complex Unit of Anesthesia-2, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (A.I.); (A.M.); (G.B.); (A.T.); (V.M.); (A.R.); (M.P.T.); (A.D.G.)
| | - Giuliano Bisceglia
- Complex Unit of Anesthesia-2, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (A.I.); (A.M.); (G.B.); (A.T.); (V.M.); (A.R.); (M.P.T.); (A.D.G.)
| | - Angelo Tancredi
- Complex Unit of Anesthesia-2, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (A.I.); (A.M.); (G.B.); (A.T.); (V.M.); (A.R.); (M.P.T.); (A.D.G.)
| | - Vincenzo Marchello
- Complex Unit of Anesthesia-2, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (A.I.); (A.M.); (G.B.); (A.T.); (V.M.); (A.R.); (M.P.T.); (A.D.G.)
| | - Andreaserena Recchia
- Complex Unit of Anesthesia-2, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (A.I.); (A.M.); (G.B.); (A.T.); (V.M.); (A.R.); (M.P.T.); (A.D.G.)
| | - Maria Pia Tonti
- Complex Unit of Anesthesia-2, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (A.I.); (A.M.); (G.B.); (A.T.); (V.M.); (A.R.); (M.P.T.); (A.D.G.)
| | - Luca Pazienza
- Complex Unit of Radiology, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy;
| | - Vincenzo Carotenuto
- Complex Unit of Neurosurgery, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (N.I.); (E.F.); (D.C.); (V.C.); (C.D.B.); (L.S.); (L.P.G.)
| | - Costanzo De Bonis
- Complex Unit of Neurosurgery, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (N.I.); (E.F.); (D.C.); (V.C.); (C.D.B.); (L.S.); (L.P.G.)
| | - Luciano Savarese
- Complex Unit of Neurosurgery, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (N.I.); (E.F.); (D.C.); (V.C.); (C.D.B.); (L.S.); (L.P.G.)
| | - Alfredo Del Gaudio
- Complex Unit of Anesthesia-2, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (A.I.); (A.M.); (G.B.); (A.T.); (V.M.); (A.R.); (M.P.T.); (A.D.G.)
| | - Leonardo Pio Gorgoglione
- Complex Unit of Neurosurgery, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy; (N.I.); (E.F.); (D.C.); (V.C.); (C.D.B.); (L.S.); (L.P.G.)
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Ren J, Ren W, Zhou Y, Dahmani L, Duan X, Fu X, Wang Y, Pan R, Zhao J, Zhang P, Wang B, Yu W, Chen Z, Zhang X, Sun J, Ding M, Huang J, Xu L, Li S, Wang W, Xie W, Zhang H, Liu H. Personalized functional imaging-guided rTMS on the superior frontal gyrus for post-stroke aphasia: A randomized sham-controlled trial. Brain Stimul 2023; 16:1313-1321. [PMID: 37652135 DOI: 10.1016/j.brs.2023.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 08/23/2023] [Accepted: 08/27/2023] [Indexed: 09/02/2023] Open
Abstract
BACKGROUND Aphasia affects approximately one-third of stroke patients and yet its rehabilitation outcomes are often unsatisfactory. More effective strategies are needed to promote recovery. OBJECTIVE We aimed to examine the efficacy and safety of the theta-burst stimulation (TBS) on the language area in the superior frontal gyrus (SFG) localized by personalized functional imaging, in facilitating post-stroke aphasia recovery. METHODS This randomized sham-controlled trial uses a parallel design (intermittent TBS [iTBS] in ipsilesional hemisphere vs. continuous TBS [cTBS] in contralesional hemisphere vs. sham group). Participants had aphasia symptoms resulting from their first stroke in the left hemisphere at least one month prior. Participants received three-week speech-language therapy coupled with either active or sham stimulation applied to the left or right SFG. The primary outcome was the change in Western Aphasia Battery-Revised (WAB-R) aphasia quotient after the three-week treatment. The secondary outcome was WAB-R aphasia quotient improvement after one week of treatment. RESULTS Ninety-seven patients were screened between January 2021 and January 2022, 45 of whom were randomized and 44 received intervention (15 in each active group, 14 in sham). Both iTBS (estimated difference = 14.75, p < 0.001) and cTBS (estimated difference = 13.43, p < 0.001) groups showed significantly greater improvement than sham stimulation after the 3-week intervention and immediately after one week of treatment (p's < 0.001). The adverse events observed were similar across groups. A seizure was recorded three days after the termination of the treatment in the iTBS group. CONCLUSION The stimulation showed high efficacy and SFG is a promising stimulation target for post-stroke language recovery.
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Affiliation(s)
- Jianxun Ren
- Division of Brain Sciences, Changping Laboratory, Beijing, 102206, China
| | - Weijing Ren
- Department of Neurorehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, 100069, China; University of Health and Rehabilitation Sciences, Qingdao, Shandong, 266000, China
| | - Ying Zhou
- Division of Brain Sciences, Changping Laboratory, Beijing, 102206, China
| | - Louisa Dahmani
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Xinyu Duan
- Division of Brain Sciences, Changping Laboratory, Beijing, 102206, China
| | - Xiaoxuan Fu
- Division of Brain Sciences, Changping Laboratory, Beijing, 102206, China; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Yezhe Wang
- Division of Brain Sciences, Changping Laboratory, Beijing, 102206, China
| | - Ruiqi Pan
- Neural Galaxy Inc., Beijing, 102206, China
| | - Jingdu Zhao
- Department of Neurorehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, 100069, China
| | - Ping Zhang
- Division of Brain Sciences, Changping Laboratory, Beijing, 102206, China
| | - Bo Wang
- Department of Hearing and Language Rehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, 100068, China
| | - Weiyong Yu
- Department of Radiology, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, 100068, China
| | - Zhenbo Chen
- Department of Radiology, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, 100068, China
| | - Xin Zhang
- Department of Neurorehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, 100069, China
| | - Jian Sun
- Neural Galaxy Inc., Beijing, 102206, China
| | | | - Jianting Huang
- Division of Brain Sciences, Changping Laboratory, Beijing, 102206, China; Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, 100871, China
| | - Liu Xu
- Division of Brain Sciences, Changping Laboratory, Beijing, 102206, China; West China Medical School, Sichuan University, Chengdu, 610041, China
| | - Shiyi Li
- Division of Brain Sciences, Changping Laboratory, Beijing, 102206, China
| | | | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, 100191, China
| | - Hao Zhang
- Division of Brain Sciences, Changping Laboratory, Beijing, 102206, China; Department of Neurorehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, 100069, China; University of Health and Rehabilitation Sciences, Qingdao, Shandong, 266000, China; Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250100, China.
| | - Hesheng Liu
- Division of Brain Sciences, Changping Laboratory, Beijing, 102206, China; Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, 100871, China.
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Thomas G, McMahon KL, Finch E, Copland DA. Interindividual variability and consistency of language mapping paradigms for presurgical use. BRAIN AND LANGUAGE 2023; 243:105299. [PMID: 37413742 DOI: 10.1016/j.bandl.2023.105299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 04/08/2023] [Accepted: 06/21/2023] [Indexed: 07/08/2023]
Abstract
Most functional MRI studies of language processing have focussed on group-level inference, but for clinical use, the aim is to predict outcomes at an individual patient level. This requires being able to identify atypical activation and understand how differences relate to language outcomes. A language mapping paradigm that selectively activates left hemisphere language regions in healthy individuals allows atypical activation in a patient to be more easily identified. We investigated the interindividual variability and consistency of language activation in 12 healthy participants using three tasks-verb generation, responsive naming, and sentence comprehension-for future presurgical use. Responsive naming produced the most consistent left-lateralised activation across participants in frontal and temporal regions that postsurgical voxel-based lesion-symptom mapping studies suggest are most critical for language outcomes. Studies with a long-term clinical aim of predicting language outcomes in neurosurgical patients and stroke patients should first establish paradigm validity at an individual level in healthy participants.
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Affiliation(s)
- Georgia Thomas
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.
| | - Katie L McMahon
- School of Clinical Sciences, Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, Australia; Herston Imaging Research Facility, The University of Queensland, Brisbane, Australia
| | - Emma Finch
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Research and Innovation, West Moreton Health, Ipswich, Australia; Speech Pathology Department, Princess Alexandra Hospital, Brisbane, Australia
| | - David A Copland
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; Surgical Treatment and Rehabilitation Service (STARS) Education and Research Alliance, The University of Queensland and Metro North Health, Queensland, Australia
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26
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Boerner C, Schroeder A, Meyer B, Krieg SM, Ille S. Cortical Location of Language Function May Differ between Languages While White Matter Pathways Are Similar in Brain Lesion Patients. Brain Sci 2023; 13:1141. [PMID: 37626496 PMCID: PMC10452579 DOI: 10.3390/brainsci13081141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 07/21/2023] [Accepted: 07/26/2023] [Indexed: 08/27/2023] Open
Abstract
The neural representation of language can be identified cortically using navigated repetitive transcranial magnetic stimulation and subcortically using the fiber tracking of diffusion tensor imaging. We investigated how cortical locations of language and language-eloquent white matter pathways differ in 40 brain lesion patients speaking various languages. Error rates related to stimulations at single sites in the frontal and parietal lobe differed significantly between Balto-Slavic and Indo-European languages. Error rates related to stimulations at single sites in the temporal lobe differed significantly between bilingual individuals. No differences were found in the white matter language pathway volumes between Balto-Slavic and Indo-European languages nor between bilingual patients. These original and exploratory data indicate that the underlying subcortical structure might be similar across languages, with initially observed differences in the cortical location of language depending on the semantic processing, but these could not be confirmed using detailed statistical analyses pointing at a similar cortical and subcortical network.
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Affiliation(s)
- Corinna Boerner
- Department of Neurosurgery, Klinikum rechts der Isar, School of Medicine, Technical University Munich, 81675 Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University Munich, 81675 Munich, Germany
| | - Axel Schroeder
- Department of Neurosurgery, Klinikum rechts der Isar, School of Medicine, Technical University Munich, 81675 Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University Munich, 81675 Munich, Germany
| | - Bernhard Meyer
- Department of Neurosurgery, Klinikum rechts der Isar, School of Medicine, Technical University Munich, 81675 Munich, Germany
| | - Sandro M. Krieg
- Department of Neurosurgery, Klinikum rechts der Isar, School of Medicine, Technical University Munich, 81675 Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University Munich, 81675 Munich, Germany
| | - Sebastian Ille
- Department of Neurosurgery, Klinikum rechts der Isar, School of Medicine, Technical University Munich, 81675 Munich, Germany
- TUM-Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University Munich, 81675 Munich, Germany
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McCarty MJ, Murphy E, Scherschligt X, Woolnough O, Morse CW, Snyder K, Mahon BZ, Tandon N. Intraoperative cortical localization of music and language reveals signatures of structural complexity in posterior temporal cortex. iScience 2023; 26:107223. [PMID: 37485361 PMCID: PMC10362292 DOI: 10.1016/j.isci.2023.107223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 06/01/2023] [Accepted: 06/22/2023] [Indexed: 07/25/2023] Open
Abstract
Language and music involve the productive combination of basic units into structures. It remains unclear whether brain regions sensitive to linguistic and musical structure are co-localized. We report an intraoperative awake craniotomy in which a left-hemispheric language-dominant professional musician underwent cortical stimulation mapping (CSM) and electrocorticography of music and language perception and production during repetition tasks. Musical sequences were melodic or amelodic, and differed in algorithmic compressibility (Lempel-Ziv complexity). Auditory recordings of sentences differed in syntactic complexity (single vs. multiple phrasal embeddings). CSM of posterior superior temporal gyrus (pSTG) disrupted music perception and production, along with speech production. pSTG and posterior middle temporal gyrus (pMTG) activated for language and music (broadband gamma; 70-150 Hz). pMTG activity was modulated by musical complexity, while pSTG activity was modulated by syntactic complexity. This points to shared resources for music and language comprehension, but distinct neural signatures for the processing of domain-specific structural features.
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Affiliation(s)
- Meredith J. McCarty
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Elliot Murphy
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Xavier Scherschligt
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Oscar Woolnough
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Cale W. Morse
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Kathryn Snyder
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Bradford Z. Mahon
- Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Nitin Tandon
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Memorial Hermann Hospital, Texas Medical Center, Houston, TX 77030, USA
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28
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Jose GRB, Legaspi GD, Ibale MGD, Duñgo ABC. Awake craniotomy: nuts and bolts. Int Anesthesiol Clin 2023; 61:8-12. [PMID: 37243429 DOI: 10.1097/aia.0000000000000408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Affiliation(s)
- Geraldine Raphaela B Jose
- Department of Anesthesiology, Philippine General Hospital, University of the Philippines Manila, Manila, Philippines
| | - Gerardo D Legaspi
- Division of Neurosurgery, Department of Neurosciences, Philippine General Hospital, University of the Philippines Manila, Manila, Philippines
| | - Mark Gibson D Ibale
- Department of Anesthesiology, Philippine General Hospital, University of the Philippines Manila, Manila, Philippines
| | - Alec Brandon C Duñgo
- Department of Anesthesiology, Philippine General Hospital, University of the Philippines Manila, Manila, Philippines
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Yang G, Xu M, Chen W, Qiao X, Shi H, Hu Y. A brain CT-based approach for predicting and analyzing stroke-associated pneumonia from intracerebral hemorrhage. Front Neurol 2023; 14:1139048. [PMID: 37332986 PMCID: PMC10272424 DOI: 10.3389/fneur.2023.1139048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 05/08/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction Stroke-associated pneumonia (SAP) is a common complication of stroke that can increase the mortality rate of patients and the burden on their families. In contrast to prior clinical scoring models that rely on baseline data, we propose constructing models based on brain CT scans due to their accessibility and clinical universality. Methods Our study aims to explore the mechanism behind the distribution and lesion areas of intracerebral hemorrhage (ICH) in relation to pneumonia, we utilized an MRI atlas that could present brain structures and a registration method in our program to extract features that may represent this relationship. We developed three machine learning models to predict the occurrence of SAP using these features. Ten-fold cross-validation was applied to evaluate the performance of models. Additionally, we constructed a probability map through statistical analysis that could display which brain regions are more frequently impacted by hematoma in patients with SAP based on four types of pneumonia. Results Our study included a cohort of 244 patients, and we extracted 35 features that captured the invasion of ICH to different brain regions for model development. We evaluated the performance of three machine learning models, namely, logistic regression, support vector machine, and random forest, in predicting SAP, and the AUCs for these models ranged from 0.77 to 0.82. The probability map revealed that the distribution of ICH varied between the left and right brain hemispheres in patients with moderate and severe SAP, and we identified several brain structures, including the left-choroid-plexus, right-choroid-plexus, right-hippocampus, and left-hippocampus, that were more closely related to SAP based on feature selection. Additionally, we observed that some statistical indicators of ICH volume, such as mean and maximum values, were proportional to the severity of SAP. Discussion Our findings suggest that our method is effective in classifying the development of pneumonia based on brain CT scans. Furthermore, we identified distinct characteristics, such as volume and distribution, of ICH in four different types of SAP.
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Affiliation(s)
- Guangtong Yang
- School of Control Science and Engineering, Shandong University, Jinan, China
| | - Min Xu
- Neurointensive Care Unit, Shengli Oilfield Central Hospital, Dongying, China
| | - Wei Chen
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Xu Qiao
- School of Control Science and Engineering, Shandong University, Jinan, China
| | - Hongfeng Shi
- Neurointensive Care Unit, Shengli Oilfield Central Hospital, Dongying, China
| | - Yongmei Hu
- School of Control Science and Engineering, Shandong University, Jinan, China
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Tuleasca C, Leroy HA, Strachowski O, Derre B, Maurage CA, Peciu-Florianu I, Reyns N. Combined use of intraoperative MRI and awake tailored microsurgical resection to respect functional neural networks: preliminary experience. Swiss Med Wkly 2023; 153:40072. [PMID: 37192405 DOI: 10.57187/smw.2023.40072] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2023] Open
Abstract
INTRODUCTION The combined use of intraoperative MRI and awake surgery is a tailored microsurgical resection to respect functional neural networks (mainly the language and motor ones). Intraoperative MRI has been classically considered to increase the extent of resection for gliomas, thereby reducing neurological deficits. Herein, we evaluated the combined technique of awake microsurgical resection and intraoperative MRI for primary brain tumours (gliomas, metastasis) and epilepsy (cortical dysplasia, non-lesional, cavernomas). PATIENTS AND METHODS Eighteen patients were treated with the commonly used "asleep awake asleep" (AAA) approach at Lille University Hospital, France, from November 2016 until May 2020. The exact anatomical location was insular with various extensions, frontal, temporal or fronto-temporal in 8 (44.4%), parietal in 3 (16.7%), fronto-opercular in 4 (22.2%), Rolandic in two (11.1%), and the supplementary motor area (SMA) in one (5.6%). RESULTS The patients had a mean age of 38.4 years (median 37.1, range 20.8-66.9). The mean surgical duration was 4.1 hours (median 4.2, range 2.6-6.4) with a mean duration of intraoperative MRI of 28.8 minutes (median 25, range 13-55). Overall, 61% (11/18) of patients underwent further resection, while 39% had no additional resection after intraoperative MRI. The mean preoperative and postoperative tumour volumes of the primary brain tumours were 34.7 cc (median 10.7, range 0.534-130.25) and 3.5 cc (median 0.5, range 0-17.4), respectively. Moreover, the proportion of the initially resected tumour volume at the time of intraoperative MRI (expressed as 100% from preoperative volume) and the final resected tumour volume were statistically significant (p= 0.01, Mann-Whitney test). The tumour remnants were commonly found posterior (5/9) or anterior (2/9) insular and in proximity with the motor strip (1/9) or language areas (e.g. Broca, 1/9). Further resection was not required in seven patients because there were no remnants (3/7), cortical stimulation approaching eloquent areas (3/7) and non-lesional epilepsy (1/7). The mean overall follow-up period was 15.8 months (median 12, range 3-36). CONCLUSION The intraoperative MRI and awake microsurgical resection approach is feasible with extensive planning and multidisciplinary collaboration, as these methods are complementary and synergic rather than competitive to improve patient oncological outcomes and quality of life.
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Affiliation(s)
- Constantin Tuleasca
- Centre Hospitalier Regional Universitaire de Lille, Roger Salengro Hospital, Neurosurgery and Neurooncology Service, Lille, France
- Department of Clinical Neurosciences, Neurosurgery Service and Gamma Knife Center, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
- Signal Processing Laboratory (LTS 5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Henri-Arthur Leroy
- Centre Hospitalier Regional Universitaire de Lille, Roger Salengro Hospital, Neurosurgery and Neurooncology Service, Lille, France
| | - Ondine Strachowski
- Centre Hospitalier Regional Universitaire de Lille, Roger Salengro Hospital, Neurosurgery and Neurooncology Service, Lille, France
| | - Benoit Derre
- Centre Hospitalier Regional Universitaire de Lille, Roger Salengro Hospital, Neurosurgery and Neurooncology Service, Lille, France
| | - Claude-Alain Maurage
- Centre Hospitalier Regional Universitaire de Lille, Roger Salengro Hospital, Neurosurgery and Neurooncology Service, Lille, France
| | - Iulia Peciu-Florianu
- Centre Hospitalier Regional Universitaire de Lille, Roger Salengro Hospital, Neurosurgery and Neurooncology Service, Lille, France
| | - Nicolas Reyns
- Centre Hospitalier Regional Universitaire de Lille, Roger Salengro Hospital, Neurosurgery and Neurooncology Service, Lille, France
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31
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Snyder KM, Forseth KJ, Donos C, Rollo PS, Fischer-Baum S, Breier J, Tandon N. Critical role of the ventral temporal lobe in naming. Epilepsia 2023; 64:1200-1213. [PMID: 36806185 DOI: 10.1111/epi.17555] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023]
Abstract
OBJECTIVE Lexical retrieval deficits are characteristic of a variety of different neurological disorders. However, the exact substrates responsible for this are not known. We studied a large cohort of patients undergoing surgery in the dominant temporal lobe for medically intractable epilepsy (n = 95) to localize brain regions that were associated with anomia. METHODS We performed a multivariate voxel-based lesion-symptom mapping analysis to correlate surgical lesions within the temporal lobe with changes in naming ability. Additionally, we used a surface-based mixed-effects multilevel analysis to estimate group-level broadband gamma activity during naming across a subset of patients with electrocorticographic recordings and integrated these results with lesion-deficit findings. RESULTS We observed that ventral temporal regions, centered around the middle fusiform gyrus, were significantly associated with a decline in naming. Furthermore, we found that the ventral aspect of temporal lobectomies was linearly correlated to a decline in naming, with a clinically significant decline occurring once the resection extended 6 cm from the anterior tip of the temporal lobe on the ventral surface. On electrocorticography, the majority of these cortical regions were functionally active following visual processing. These loci coincide with the sites of susceptibility artifacts during echoplanar imaging, which may explain why this region has been previously underappreciated as the locus responsible for postoperative naming deficits. SIGNIFICANCE Taken together, these data highlight the crucial contribution of the ventral temporal cortex in naming and its important role in the pathophysiology of anomia following temporal lobe resections. As such, surgical strategies should attempt to preserve this region to mitigate postoperative language deficits.
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Affiliation(s)
- Kathryn M Snyder
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA.,Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Kiefer J Forseth
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA.,Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Cristian Donos
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA.,Faculty of Physics, University of Bucharest, Bucharest, Romania
| | - Patrick S Rollo
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA.,Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Simon Fischer-Baum
- Department of Psychological Sciences, Rice University, Houston, Texas, USA
| | - Joshua Breier
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA.,Memorial Hermann Hospital, Texas Medical Center, Houston, Texas, USA
| | - Nitin Tandon
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA.,Texas Institute for Restorative Neurotechnologies, University of Texas Health Science Center at Houston, Houston, Texas, USA.,Memorial Hermann Hospital, Texas Medical Center, Houston, Texas, USA
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32
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Assem M, Hart MG, Coelho P, Romero-Garcia R, McDonald A, Woodberry E, Morris RC, Price SJ, Suckling J, Santarius T, Duncan J, Erez Y. High gamma activity distinguishes frontal cognitive control regions from adjacent cortical networks. Cortex 2023; 159:286-298. [PMID: 36645968 PMCID: PMC9946792 DOI: 10.1016/j.cortex.2022.12.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 12/28/2022]
Abstract
Though the lateral frontal cortex is broadly implicated in cognitive control, functional MRI (fMRI) studies suggest fine-grained distinctions within this region. To examine this question electrophysiologically, we placed electrodes on the lateral frontal cortex in patients undergoing awake craniotomy for tumor resection. Patients performed verbal tasks with a manipulation of attentional switching, a canonical control demand. Power in the high gamma range (70-250 Hz) distinguished electrodes based on their location within a high-resolution fMRI network parcellation of the frontal lobe. Electrodes within the canonical fronto-parietal control network showed increased power in the switching condition, a result absent in electrodes within default mode, language and somato-motor networks. High gamma results contrasted with spatially distributed power decreases in the beta range (12-30 Hz). These results confirm the importance of fine-scale functional distinctions within the human frontal lobe, and pave the way for increased precision of functional mapping in tumor surgeries.
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Affiliation(s)
- Moataz Assem
- Medical Research Council, Cognition and Brain Sciences Unit, University of Cambridge UK.
| | - Michael G Hart
- Department of Neurosurgery, Cambridge University Hospitals NHS Foundation Trust UK; St George's, University of London & St George's University Hospitals NHS Foundation Trust, Institute of Molecular and Clinical Sciences UK
| | | | - Rafael Romero-Garcia
- Department of Psychiatry, University of Cambridge UK; Department of Medical Physiology and Biophysics, Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla/CIBERSAM, ISCIII, Sevilla, Spain
| | - Alexa McDonald
- Department of Neuropsychology, Cambridge University Hospitals NHS Foundation Trust UK
| | - Emma Woodberry
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge UK
| | - Robert C Morris
- Department of Neurosurgery, Cambridge University Hospitals NHS Foundation Trust UK
| | - Stephen J Price
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge UK
| | - John Suckling
- Department of Psychiatry, University of Cambridge UK; Behavioural and Clinical Neuroscience Institute, University of Cambridge UK; Cambridge and Peterborough NHS Foundation Trust UK
| | - Thomas Santarius
- Department of Neurosurgery, Cambridge University Hospitals NHS Foundation Trust UK; Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge UK; Department of Physiology, Development and Neuroscience, University of Cambridge UK
| | - John Duncan
- Medical Research Council, Cognition and Brain Sciences Unit, University of Cambridge UK; Department of Experimental Psychology, University of Oxford UK
| | - Yaara Erez
- Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel; Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel; Medical Research Council, Cognition and Brain Sciences Unit, University of Cambridge UK.
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Collée E, Vincent A, Visch-Brink E, De Witte E, Dirven C, Satoer D. Localization patterns of speech and language errors during awake brain surgery: a systematic review. Neurosurg Rev 2023; 46:38. [PMID: 36662312 PMCID: PMC9859901 DOI: 10.1007/s10143-022-01943-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 11/22/2022] [Accepted: 12/31/2022] [Indexed: 01/21/2023]
Abstract
Awake craniotomy with direct electrical stimulation (DES) is the standard treatment for patients with eloquent area gliomas. DES detects speech and language errors, which indicate functional boundaries that must be maintained to preserve quality of life. During DES, traditional object naming or other linguistic tasks such as tasks from the Dutch Linguistic Intraoperative Protocol (DuLIP) can be used. It is not fully clear which speech and language errors occur in which brain locations. To provide an overview and to update DuLIP, a systematic review was conducted in which 102 studies were included, reporting on speech and language errors and the corresponding brain locations during awake craniotomy with DES in adult glioma patients up until 6 July 2020. The current findings provide a crude overview on language localization. Even though subcortical areas are in general less often investigated intraoperatively, still 40% out of all errors was reported at the subcortical level and almost 60% at the cortical level. Rudimentary localization patterns for different error types were observed and compared to the dual-stream model of language processing and the DuLIP model. While most patterns were similar compared to the models, additional locations were identified for articulation/motor speech, phonology, reading, and writing. Based on these patterns, we propose an updated DuLIP model. This model can be applied for a more adequate "location-to-function" language task selection to assess different linguistic functions during awake craniotomy, to possibly improve intraoperative language monitoring. This could result in a better postoperative language outcome in the future.
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Affiliation(s)
- Ellen Collée
- Department of Neurosurgery, Erasmus MC University Medical Centre, Doctor Molewaterplein 40, NA2118, 3015, GD, Rotterdam, the Netherlands.
| | - Arnaud Vincent
- Department of Neurosurgery, Erasmus MC University Medical Centre, Doctor Molewaterplein 40, NA2118, 3015, GD, Rotterdam, the Netherlands
| | - Evy Visch-Brink
- Department of Neurosurgery, Erasmus MC University Medical Centre, Doctor Molewaterplein 40, NA2118, 3015, GD, Rotterdam, the Netherlands
| | - Elke De Witte
- Department of Neurosurgery, Erasmus MC University Medical Centre, Doctor Molewaterplein 40, NA2118, 3015, GD, Rotterdam, the Netherlands
| | - Clemens Dirven
- Department of Neurosurgery, Erasmus MC University Medical Centre, Doctor Molewaterplein 40, NA2118, 3015, GD, Rotterdam, the Netherlands
| | - Djaina Satoer
- Department of Neurosurgery, Erasmus MC University Medical Centre, Doctor Molewaterplein 40, NA2118, 3015, GD, Rotterdam, the Netherlands
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Sohn WJ, Lim J, Wang PT, Pu H, Malekzadeh-Arasteh O, Shaw SJ, Armacost M, Gong H, Kellis S, Andersen RA, Liu CY, Heydari P, Nenadic Z, Do AH. Benchtop and bedside validation of a low-cost programmable cortical stimulator in a testbed for bi-directional brain-computer-interface research. Front Neurosci 2023; 16:1075971. [PMID: 36711153 PMCID: PMC9878125 DOI: 10.3389/fnins.2022.1075971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 12/16/2022] [Indexed: 01/15/2023] Open
Abstract
Introduction Bi-directional brain-computer interfaces (BD-BCI) to restore movement and sensation must achieve concurrent operation of recording and decoding of motor commands from the brain and stimulating the brain with somatosensory feedback. Methods A custom programmable direct cortical stimulator (DCS) capable of eliciting artificial sensorimotor response was integrated into an embedded BCI system to form a safe, independent, wireless, and battery powered testbed to explore BD-BCI concepts at a low cost. The BD-BCI stimulator output was tested in phantom brain tissue by assessing its ability to deliver electrical stimulation equivalent to an FDA-approved commercial electrical cortical stimulator. Subsequently, the stimulator was tested in an epilepsy patient with subcortical electrocorticographic (ECoG) implants covering the sensorimotor cortex to assess its ability to elicit equivalent responses as the FDA-approved counterpart. Additional safety features (impedance monitoring, artifact mitigation, and passive and active charge balancing mechanisms) were also implemeneted and tested in phantom brain tissue. Finally, concurrent operation with interleaved stimulation and BCI decoding was tested in a phantom brain as a proof-of-concept operation of BD-BCI system. Results The benchtop prototype BD-BCI stimulator's basic output features (current amplitude, pulse frequency, pulse width, train duration) were validated by demonstrating the output-equivalency to an FDA-approved commercial cortical electrical stimulator (R 2 > 0.99). Charge-neutral stimulation was demonstrated with pulse-width modulation-based correction algorithm preventing steady state voltage deviation. Artifact mitigation achieved a 64.5% peak voltage reduction. Highly accurate impedance monitoring was achieved with R 2 > 0.99 between measured and actual impedance, which in-turn enabled accurate charge density monitoring. An online BCI decoding accuracy of 93.2% between instructional cues and decoded states was achieved while delivering interleaved stimulation. The brain stimulation mapping via ECoG grids in an epilepsy patient showed that the two stimulators elicit equivalent responses. Significance This study demonstrates clinical validation of a fully-programmable electrical stimulator, integrated into an embedded BCI system. This low-cost BD-BCI system is safe and readily applicable as a testbed for BD-BCI research. In particular, it provides an all-inclusive hardware platform that approximates the limitations in a near-future implantable BD-BCI. This successful benchtop/human validation of the programmable electrical stimulator in a BD-BCI system is a critical milestone toward fully-implantable BD-BCI systems.
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Affiliation(s)
- Won Joon Sohn
- Department of Neurology, University of California, Irvine, Irvine, CA, United States,*Correspondence: Won Joon Sohn ✉
| | - Jeffrey Lim
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States
| | - Po T. Wang
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States
| | - Haoran Pu
- Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, United States
| | - Omid Malekzadeh-Arasteh
- Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, United States
| | - Susan J. Shaw
- Department of Neurology, Rancho Los Amigos National Rehabilitation Center, Downey, CA, United States,Department of Neurology, University of Southern California, Los Angeles, CA, United States
| | - Michelle Armacost
- Department of Neurology, Rancho Los Amigos National Rehabilitation Center, Downey, CA, United States,Department of Neurology, University of Southern California, Los Angeles, CA, United States
| | - Hui Gong
- Department of Neurology, Rancho Los Amigos National Rehabilitation Center, Downey, CA, United States,Department of Neurology, University of Southern California, Los Angeles, CA, United States
| | - Spencer Kellis
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States
| | - Richard A. Andersen
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States
| | - Charles Y. Liu
- Department of Neurosurgery, Rancho Los Amigos National Rehabilitation Center, Downey, CA, United States,Department of Neurological Surgery, University of Southern California, Los Angeles, CA, United States
| | - Payam Heydari
- Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, United States
| | - Zoran Nenadic
- Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States,Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, United States
| | - An H. Do
- Department of Neurology, University of California, Irvine, Irvine, CA, United States,An H. Do ✉
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Srienc AI, Church SC, Korn SJ, Lonser RR, Zipfel GJ. Early outcomes of the American Academy of Neurological Surgery Emerging Investigator Program in promoting neurosurgeon-scientists. J Neurosurg 2023; 138:287-292. [PMID: 35901692 DOI: 10.3171/2022.5.jns212846] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Anja I Srienc
- 1Department of Neurological Surgery, Washington University, St. Louis, Missouri
| | - Sophie C Church
- 1Department of Neurological Surgery, Washington University, St. Louis, Missouri
| | - Stephen J Korn
- 2National Institute of Neurological Disorders and Stroke, National Institutes of Health, Rockville, Maryland; and
| | - Russell R Lonser
- 3Department of Neurological Surgery, The Ohio State University, Columbus, Ohio
| | - Gregory J Zipfel
- 1Department of Neurological Surgery, Washington University, St. Louis, Missouri
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Intermediate stimulation frequencies for language mapping using Stereo-EEG. Clin Neurophysiol 2022; 144:91-97. [PMID: 36327599 DOI: 10.1016/j.clinph.2022.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 09/27/2022] [Accepted: 10/03/2022] [Indexed: 11/20/2022]
Abstract
OBJECTIVE Identification of eloquent cortices is a prerequisite for the surgical plan but may be challenging, in particular for language areas (LAs), considering the complexity of language function and organization. Electrical intracerebral stimulations (ES) during Stereo-electroencephalography are an essential tool in the localization of LAs and high frequency ES (HFS, 50 Hz) are current gold standard. Low frequencies (1 Hz) are not effective. We aim to investigate different ES frequencies for establishing their utility in localizing LAs. METHODS We implemented an observational and prospective study evaluating frequencies lower than 50 and higher than 1 Hz; indicated as "intermediate" frequencies (IFS) performed at 6, 9 and 12 Hz and lasting 15 seconds. We included ten patients and carried out a standardized protocol comparing IFS to HFS. RESULTS Eighty-six ES were carried out in LAs, positive for a language interference in 61.6% without noteworthy difference between IFS and HFS. Among these, 53.3% IFS vs 21.7% HFS yielded no after-discharge. CONCLUSIONS IFS were similarly effective as HFS, with lower incidence of ADs. Their longer duration facilitated more accurate clinical testing. SIGNIFICANCE Our results are promising, suggesting that IFS can be useful in the study of LAs.
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Quinones A, Jenabi M, Pasquini L, Peck KK, Moss NS, Brennan C, Tabar V, Holodny A. Use of longitudinal functional MRI to demonstrate translocation of language function in patients with brain tumors. J Neurosurg 2022:1-9. [DOI: 10.3171/2022.10.jns221212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 10/11/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVE
The ability of functional MRI (fMRI) to localize patient-specific eloquent areas has proved worthwhile in efforts to maximize resection while minimizing risk of iatrogenic damage in patients with brain tumors. Although cortical reorganization has been described, the frequency of its occurrence and the factors that influence incidence are not well understood. The authors investigated changes in language laterality between 2 fMRI studies in patients with brain tumors to elucidate factors contributing to cortical reorganization.
METHODS
The authors analyzed 33 patients with brain tumors involving eloquent language areas who underwent 2 separate presurgical, language task–based fMRI examinations (fMRI1 and fMRI2). Pathology consisted of low-grade glioma (LGG) in 15, and high-grade glioma (HGG) in 18. The mean time interval between scans was 35 ± 38 months (mean ± SD). Regions of interest were drawn for Broca’s area (BA) and the contralateral BA homolog. The laterality index (LI) was calculated and categorized as follows: > 0.2, left dominance; 0.2 to –0.2, codominance; and < −0.2, right dominance. Translocation of language function was defined as a shift across one of these thresholds between the 2 scans. Comparisons between the 2 groups, translocation of language function (reorganized group) versus no translocation (constant group), were performed using the Mann-Whitney U-test.
RESULTS
Nine (27%) of 33 patients demonstrated translocation of language function. Eight of 9 patients with translocation had tumor involvement of BA, compared to 5/24 patients without translocation (p < 0.0001). There was no difference in LI between the 2 groups at fMRI1. However, the reorganized group showed a decreased LI at fMRI2 compared to the constant group (−0.1 vs 0.53, p < 0.01). The reorganized cohort showed a significant difference between LI1 and LI2 (0.50 vs –0.1, p < 0.0001) whereas the constant cohort did not. A longer time interval was found in the reorganized group between fMRI1 and fMRI2 for patients with LGG (34 vs 107 months, p < 0.002). Additionally, the reorganized cohort had a greater proportion of local tumor invasion into eloquent areas at fMRI2 than the constant group. Aphasia was present following fMRI2 in 13/24 (54%) patients who did not exhibit translocation, compared to 2/9 (22%) patients who showed translocation.
CONCLUSIONS
Translocation of language function in patients with brain tumor is associated with tumor involvement of BA, longer time intervals between scans, and is seen in both LGG and HGG. The reduced incidence of aphasia in the reorganized group raises the possibility that reorganization supports the conservation of language function. Therefore, longitudinal fMRI is useful because it may point to reorganization and could affect therapeutic planning for patients.
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Affiliation(s)
- Addison Quinones
- Departments of Radiology,
- Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Luca Pasquini
- Departments of Radiology,
- Neuroradiology Unit, NESMOS Department, Sant’Andrea Hospital, La Sapienza University, Rome, Italy
| | | | - Nelson S. Moss
- Neurosurgery, Memorial Sloan Kettering Cancer Center, New York
| | - Cameron Brennan
- Neurosurgery, Memorial Sloan Kettering Cancer Center, New York
| | - Viviane Tabar
- Neurosurgery, Memorial Sloan Kettering Cancer Center, New York
| | - Andrei Holodny
- Departments of Radiology,
- Department of Neuroscience, Weill Cornell Graduate School of the Medical Sciences, New York; and
- Department of Radiology, Joan & Sanford I. Weill Medical College of Cornell University, New York, New York
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Riva M, Wilson SM, Cai R, Castellano A, Jordan KM, Henry RG, Gorno Tempini ML, Berger MS, Chang EF. Evaluating syntactic comprehension during awake intraoperative cortical stimulation mapping. J Neurosurg 2022; 138:1403-1410. [PMID: 36208435 PMCID: PMC10159588 DOI: 10.3171/2022.8.jns221335] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 08/04/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE
Electrocortical stimulation mapping (ECS) is widely used to identify essential language areas, but sentence-level processing has rarely been investigated.
METHODS
While undergoing awake surgery in the dominant left hemisphere, 6 subjects were asked to comprehend sentences varying in their demands on syntactic processing.
RESULTS
In all 6 subjects, stimulation of the inferior frontal gyrus disrupted comprehension of passive sentences, which critically depend on syntactic processing to correctly assign grammatical roles, without disrupting comprehension of simpler tasks. In 4 of the 6 subjects, these sites were localized to the pars opercularis. Sentence comprehension was also disrupted by stimulation of other perisylvian sites, but in a more variable manner.
CONCLUSIONS
These findings suggest that there may be language regions that differentially contribute to sentence processing and which therefore are best identified using sentence-level tasks. The functional consequences of resecting these sites remain to be investigated.
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Affiliation(s)
- Marco Riva
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Stephen M. Wilson
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ruofan Cai
- Department of Speech and Hearing Sciences, University of Washington, Seattle
- Institute for Learning & Brain Sciences, University of Washington, Seattle, Washington
| | - Antonella Castellano
- Department of Neuroradiology & CERMAC, Università Vita-Salute and Ospedale San Raffaele, Milan, Italy
| | - Kesshi M. Jordan
- Bioengineering Graduate Group, University of California, San Francisco, and University of California, Berkeley
| | - Roland G. Henry
- Department of Neurology,
- Department of Radiology and Biomedical Imaging,
| | | | - Mitchel S. Berger
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Edward F. Chang
- Department of Neurological Surgery, University of California, San Francisco, California
- Center for Integrative Neuroscience, University of California, San Francisco, California
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Pasichnik A, Tsuboyama M, Jannati A, Vega C, Kaye HL, Damar U, Bolton J, Stone SSD, Madsen JR, Suarez RO, Rotenberg A. Discrepant expressive language lateralization in children and adolescents with epilepsy. Ann Clin Transl Neurol 2022; 9:1459-1464. [PMID: 36000540 PMCID: PMC9463952 DOI: 10.1002/acn3.51594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 05/03/2022] [Accepted: 05/04/2022] [Indexed: 11/09/2022] Open
Abstract
Neuronavigated transcranial magnetic stimulation (nTMS) has emerged as a presurgical language mapping tool distinct from the widely used functional magnetic resonance imaging (fMRI). We report fMRI and nTMS language-mapping results in 19 pediatric-epilepsy patients and compare those to definitive testing by electrical cortical stimulation, Wada test, and/or neuropsychological testing. Most discordant results occurred when fMRI found right-hemispheric language. In those cases, when nTMS showed left-hemispheric or bilateral language representation, left-hemispheric language was confirmed by definitive testing. Therefore, we propose nTMS should be considered for pediatric presurgical language-mapping when fMRI shows right-hemispheric language, with nTMS results superseding fMRI results in those scenarios.
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Affiliation(s)
- Alisa Pasichnik
- Neuromodulation Program and Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.,F. M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Melissa Tsuboyama
- Neuromodulation Program and Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ali Jannati
- Neuromodulation Program and Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.,F. M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.,Berenson-Allen Center for Noninvasive Brain Stimulation and Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Clemente Vega
- Neuromodulation Program and Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.,Neuropsychology Center, Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Harper L Kaye
- Neuromodulation Program and Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.,Behavioral Neuroscience Program, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Ugur Damar
- Neuromodulation Program and Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.,F. M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jeffrey Bolton
- Neuromodulation Program and Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Scellig S D Stone
- Department of Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Joseph R Madsen
- Department of Neurosurgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ralph O Suarez
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Alexander Rotenberg
- Neuromodulation Program and Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.,F. M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.,Berenson-Allen Center for Noninvasive Brain Stimulation and Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
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40
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Zhou Y, Zhao Z, Zhang J, Hameed NUF, Zhu F, Feng R, Zhang X, Lu J, Wu J. Electrical stimulation-induced speech-related negative motor responses in the lateral frontal cortex. J Neurosurg 2022; 137:496-504. [PMID: 34952509 DOI: 10.3171/2021.9.jns211069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 09/30/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Speech arrest is a common but crucial negative motor response (NMR) recorded during intraoperative brain mapping. However, recent studies have reported nonspeech-specific NMR sites in the ventral precentral gyrus (vPrCG), where stimulation halts both speech and ongoing hand movement. The aim of this study was to investigate the spatial relationship between speech-specific NMR sites and nonspeech-specific NMR sites in the lateral frontal cortex. METHODS In this prospective cohort study, an intraoperative mapping strategy was designed to identify positive motor response (PMR) sites and NMR sites in 33 consecutive patients undergoing awake craniotomy for the treatment of left-sided gliomas. Patients were asked to count, flex their hands, and simultaneously perform these two tasks to map NMRs. Each site was plotted onto a standard atlas and further analyzed. The speech and hand motor arrest sites in the supplementary motor area of 2 patients were resected. The 1- and 3-month postoperative language and motor functions of all patients were assessed. RESULTS A total of 91 PMR sites and 72 NMR sites were identified. NMR and PMR sites were anteroinferiorly and posterosuperiorly distributed in the precentral gyrus, respectively. Three distinct NMR sites were identified: 24 pure speech arrest (speech-specific NMR) sites (33.33%), 7 pure hand motor arrest sites (9.72%), and 41 speech and hand motor arrest (nonspeech-specific NMR) sites (56.94%). Nonspeech-specific NMR sites and speech-specific NMR sites were dorsoventrally distributed in the vPrCG. For language function, 1 of 2 patients in the NMA resection group had language dysfunction at the 1-month follow-up but had recovered by the 3-month follow-up. All patients in the NMA resection group had fine motor dysfunction at the 1- and 3-month follow-ups. CONCLUSIONS The study results demonstrated a functional segmentation of speech-related NMRs in the lateral frontal cortex and that most of the stimulation-induced speech arrest sites are not specific to speech. A better understanding of the spatial distribution of speech-related NMR sites will be helpful in surgical planning and intraoperative mapping and provide in-depth insight into the motor control of speech production.
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Affiliation(s)
- Yuyao Zhou
- 1Neurologic Surgery Department, Huashan Hospital, Fudan University
- 2Brain Function Laboratory, Neurosurgical Institute of Fudan University
| | - Zehao Zhao
- 1Neurologic Surgery Department, Huashan Hospital, Fudan University
- 2Brain Function Laboratory, Neurosurgical Institute of Fudan University
| | - Jie Zhang
- 1Neurologic Surgery Department, Huashan Hospital, Fudan University
- 2Brain Function Laboratory, Neurosurgical Institute of Fudan University
| | - N U Farrukh Hameed
- 1Neurologic Surgery Department, Huashan Hospital, Fudan University
- 2Brain Function Laboratory, Neurosurgical Institute of Fudan University
| | - Fengping Zhu
- 1Neurologic Surgery Department, Huashan Hospital, Fudan University
| | - Rui Feng
- 1Neurologic Surgery Department, Huashan Hospital, Fudan University
| | - Xiaoluo Zhang
- 1Neurologic Surgery Department, Huashan Hospital, Fudan University
| | - Junfeng Lu
- 1Neurologic Surgery Department, Huashan Hospital, Fudan University
- 2Brain Function Laboratory, Neurosurgical Institute of Fudan University
- 3Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Jinsong Wu
- 1Neurologic Surgery Department, Huashan Hospital, Fudan University
- 2Brain Function Laboratory, Neurosurgical Institute of Fudan University
- 3Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
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41
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Martín-Fernández J, Gabarrós A, Fernandez-Coello A. Intraoperative Brain Mapping in Multilingual Patients: What Do We Know and Where Are We Going? Brain Sci 2022; 12:brainsci12050560. [PMID: 35624947 PMCID: PMC9139515 DOI: 10.3390/brainsci12050560] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 04/25/2022] [Accepted: 04/26/2022] [Indexed: 02/06/2023] Open
Abstract
In this review, we evaluate the knowledge gained so far about the neural bases of multilingual language processing obtained mainly through imaging and electrical stimulation mapping (ESM). We attempt to answer some key questions about multilingualism in the light of recent literature evidence, such as the degree of anatomical–functional integration of two or more languages in a multilingual brain, how the age of L2-acquisition affects language organization in the human brain, or how the brain controls more than one language. Finally, we highlight the future trends in multilingual language mapping.
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Affiliation(s)
- Jesús Martín-Fernández
- Hospital Universitario Nuestra Señora de Candelaria (HUNSC), Neurosurgery Section, 38010 Santa Cruz de Tenerife, Spain;
| | - Andreu Gabarrós
- Hospital Universitari de Bellvitge (HUB), Neurosurgery Section, Campus Bellvitge, University of Barcelona—IDIBELL, 08097 L’Hospitalet de Llobregat, Spain;
| | - Alejandro Fernandez-Coello
- Hospital Universitari de Bellvitge (HUB), Neurosurgery Section, Campus Bellvitge, University of Barcelona—IDIBELL, 08097 L’Hospitalet de Llobregat, Spain;
- CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 08025 Barcelona, Spain
- Correspondence:
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42
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Deep Learning and Microscopic Imaging in the Nursing Process of Neurosurgery Operation. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:5719897. [PMID: 35480160 PMCID: PMC9038398 DOI: 10.1155/2022/5719897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/24/2022] [Indexed: 11/17/2022]
Abstract
Neurosurgery is mainly for the treatment of head trauma, cerebrovascular disease, brain tumors, and spinal cord disorders. These operations are difficult and risky, so disability and mortality are high. To reduce the risk of surgery, reduce postoperative complications, and improve the treatment effect of patients, this article applies deep learning and microscopic imaging to the nursing process of neurosurgery. Through deep learning and microscopic imaging, doctors can learn about patients during surgery. The specific situation of the trauma site, after which surgery is performed according to the situation, effectively reduces the casualties, reduces the loss of patients, and provides a reference for the research of neurosurgery nursing. Research results prove that deep learning and microscopic imaging can play an important role in the nursing process of neurosurgery. Compared with conventional treatment methods, microscopic imaging treatment can effectively improve the treatment effect, and the operation time for patients is less than that of conventional treatment. About 20% and the incidence of postoperative complications is lower than 30%, which can effectively reduce the cost to patients and improve the quality of treatment.
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43
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Sonoda M, Rothermel R, Carlson A, Jeong JW, Lee MH, Hayashi T, Luat AF, Sood S, Asano E. Naming-related spectral responses predict neuropsychological outcome after epilepsy surgery. Brain 2022; 145:517-530. [PMID: 35313351 PMCID: PMC9014727 DOI: 10.1093/brain/awab318] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 07/14/2021] [Accepted: 07/28/2021] [Indexed: 11/12/2022] Open
Abstract
This prospective study determined the use of intracranially recorded spectral responses during naming tasks in predicting neuropsychological performance following epilepsy surgery. We recruited 65 patients with drug-resistant focal epilepsy who underwent preoperative neuropsychological assessment and intracranial EEG recording. The Clinical Evaluation of Language Fundamentals evaluated the baseline and postoperative language function. During extra-operative intracranial EEG recording, we assigned patients to undergo auditory and picture naming tasks. Time-frequency analysis determined the spatiotemporal characteristics of naming-related amplitude modulations, including high gamma augmentation at 70-110 Hz. We surgically removed the presumed epileptogenic zone based on the intracranial EEG and MRI abnormalities while maximally preserving the eloquent areas defined by electrical stimulation mapping. The multivariate regression model incorporating auditory naming-related high gamma augmentation predicted the postoperative changes in Core Language Score with r2 of 0.37 and in Expressive Language Index with r2 of 0.32. Independently of the effects of epilepsy and neuroimaging profiles, higher high gamma augmentation at the resected language-dominant hemispheric area predicted a more severe postoperative decline in Core Language Score and Expressive Language Index. Conversely, the model incorporating picture naming-related high gamma augmentation predicted the change in Receptive Language Index with an r2 of 0.50. Higher high gamma augmentation independently predicted a more severe postoperative decline in Receptive Language Index. Ancillary regression analysis indicated that naming-related low gamma augmentation and alpha/beta attenuation likewise independently predicted a more severe Core Language Score decline. The machine learning-based prediction model suggested that naming-related high gamma augmentation, among all spectral responses used as predictors, most strongly contributed to the improved prediction of patients showing a >5-point Core Language Score decline (reflecting the lower 25th percentile among patients). We generated the model-based atlas visualizing sites, which, if resected, would lead to such a language decline. With a 5-fold cross-validation procedure, the auditory naming-based model predicted patients who had such a postoperative language decline with an accuracy of 0.80. The model indicated that virtual resection of an electrical stimulation mapping-defined language site would have increased the relative risk of the Core Language Score decline by 5.28 (95% confidence interval: 3.47-8.02). Especially, that of an electrical stimulation mapping-defined receptive language site would have maximized it to 15.90 (95% confidence interval: 9.59-26.33). In summary, naming-related spectral responses predict neuropsychological outcomes after epilepsy surgery. We have provided our prediction model as an open-source material, which will indicate the postoperative language function of future patients and facilitate external validation at tertiary epilepsy centres.
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Affiliation(s)
- Masaki Sonoda
- Department of Pediatrics, Children’s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA
- Department of Neurosurgery, Yokohama City University, Yokohama, Kanagawa 2360004, Japan
| | - Robert Rothermel
- Department of Psychiatry, Children’s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA
| | - Alanna Carlson
- Department of Pediatrics, Children’s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA
- Department of Psychiatry, Children’s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA
| | - Jeong-Won Jeong
- Department of Pediatrics, Children’s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA
- Department of Neurology, Children’s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA
| | - Min-Hee Lee
- Department of Pediatrics, Children’s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA
| | - Takahiro Hayashi
- Department of Neurosurgery, Yokohama City University, Yokohama, Kanagawa 2360004, Japan
| | - Aimee F Luat
- Department of Pediatrics, Children’s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA
- Department of Neurology, Children’s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA
- Department of Pediatrics, Central Michigan University, Mount Pleasant, MI 48858, USA
| | - Sandeep Sood
- Department of Neurosurgery, Children’s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA
| | - Eishi Asano
- Department of Pediatrics, Children’s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA
- Department of Neurology, Children’s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA
- Correspondence to: Eishi Asano, MD, PhD, MS (CRDSA) Division of Pediatric Neurology, Children’s Hospital of Michigan Wayne State University. 3901 Beaubien St., Detroit, MI 48201, USA E-mail:
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Current Status of Neuromodulation-Induced Cortical Prehabilitation and Considerations for Treatment Pathways in Lower-Grade Glioma Surgery. LIFE (BASEL, SWITZERLAND) 2022; 12:life12040466. [PMID: 35454957 PMCID: PMC9024440 DOI: 10.3390/life12040466] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 03/19/2022] [Accepted: 03/19/2022] [Indexed: 12/15/2022]
Abstract
The infiltrative character of supratentorial lower grade glioma makes it possible for eloquent neural pathways to remain within tumoural tissue, which renders complete surgical resection challenging. Neuromodulation-Induced Cortical Prehabilitation (NICP) is intended to reduce the likelihood of premeditated neurologic sequelae that otherwise would have resulted in extensive rehabilitation or permanent injury following surgery. This review aims to conceptualise current approaches involving Repetitive Transcranial Magnetic Stimulation (rTMS-NICP) and extraoperative Direct Cortical Stimulation (eDCS-NICP) for the purposes of inducing cortical reorganisation prior to surgery, with considerations derived from psychiatric, rehabilitative and electrophysiologic findings related to previous reports of prehabilitation. Despite the promise of reduced risk and incidence of neurologic injury in glioma surgery, the current data indicates a broad but compelling possibility of effective cortical prehabilitation relating to perisylvian cortex, though it remains an under-explored investigational tool. Preliminary findings may prove sufficient for the continued investigation of prehabilitation in small-volume lower-grade tumour or epilepsy patients. However, considering the very low number of peer-reviewed case reports, optimal stimulation parameters and duration of therapy necessary to catalyse functional reorganisation remain equivocal. The non-invasive nature and low risk profile of rTMS-NICP may permit larger sample sizes and control groups until such time that eDCS-NICP protocols can be further elucidated.
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Muir M, Patel R, Traylor J, de Almeida Bastos DC, Prinsloo S, Liu HL, Noll K, Wefel J, Tummala S, Kumar V, Prabhu S. Validation of Non-invasive Language Mapping Modalities for Eloquent Tumor Resection: A Pilot Study. Front Neurosci 2022; 16:833073. [PMID: 35299624 PMCID: PMC8923233 DOI: 10.3389/fnins.2022.833073] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 01/13/2022] [Indexed: 11/13/2022] Open
Abstract
Many studies have established a link between extent of resection and survival in patients with gliomas. Surgeons must optimize the oncofunctional balance by maximizing the extent of resection and minimizing postoperative neurological morbidity. Preoperative functional imaging modalities are important tools for optimizing the oncofunctional balance. Transcranial magnetic stimulation (TMS) and functional magnetic resonance imaging (fMRI) are non-invasive imaging modalities that can be used for preoperative functional language mapping. Scarce data exist evaluating the accuracy of these preoperative modalities for language mapping compared with gold standard intraoperative data in the same cohort. This study compares the accuracy of fMRI and TMS for language mapping compared with intraoperative direct cortical stimulation (DCS). We also identified significant predictors of preoperative functional imaging accuracy, as well as significant predictors of functional outcomes. Evidence from this study could inform clinical judgment as well as provide neuroscientific insight. We used geometric distances to determine copositivity between preoperative data and intraoperative data. Twenty-eight patients were included who underwent both preoperative fMRI and TMS procedures, as well as an awake craniotomy and intraoperative language mapping. We found that TMS shows significantly superior correlation to intraoperative DCS compared with fMRI. TMS also showed significantly higher sensitivity and negative predictive value than specificity and positive predictive value. Poor cognitive baseline was associated with decreased TMS accuracy as well as increased risk for worsened aphasia postoperatively. TMS has emerged as a promising preoperative language mapping tool. Future work should be done to identify the proper role of each imaging modality in a comprehensive, multimodal approach to optimize the oncofunctional balance.
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Affiliation(s)
- Matthew Muir
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Rajan Patel
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Jeffrey Traylor
- Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | | | - Sarah Prinsloo
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Ho-Ling Liu
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Kyle Noll
- Department of Neuropsychology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Jeffrey Wefel
- Department of Neuropsychology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Sudhakar Tummala
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Vinodh Kumar
- Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Sujit Prabhu
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
- *Correspondence: Sujit Prabhu,
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Sangrador-Deitos MV, Uribe-Pacheco R, Balcázar-Padrón JC, Díaz-Bello S, Núñez-Velasco S. Awake Surgery With Visual Pathway Mapping in Low Grade Glioma Surgery. Cureus 2022; 14:e22135. [PMID: 35308657 PMCID: PMC8918372 DOI: 10.7759/cureus.22135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/11/2022] [Indexed: 11/05/2022] Open
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Kaestner E, Wu X, Friedman D, Dugan P, Devinsky O, Carlson C, Doyle W, Thesen T, Halgren E. The Precentral Gyrus Contributions to the Early Time-Course of Grapheme-to-Phoneme Conversion. NEUROBIOLOGY OF LANGUAGE (CAMBRIDGE, MASS.) 2022; 3:18-45. [PMID: 37215328 PMCID: PMC10158576 DOI: 10.1162/nol_a_00047] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 06/16/2021] [Indexed: 05/24/2023]
Abstract
As part of silent reading models, visual orthographic information is transduced into an auditory phonological code in a process of grapheme-to-phoneme conversion (GPC). This process is often identified with lateral temporal-parietal regions associated with auditory phoneme encoding. However, the role of articulatory phonemic representations and the precentral gyrus in GPC is ambiguous. Though the precentral gyrus is implicated in many functional MRI studies of reading, it is not clear if the time course of activity in this region is consistent with the precentral gyrus being involved in GPC. We recorded cortical electrophysiology during a bimodal match/mismatch task from eight patients with perisylvian subdural electrodes to examine the time course of neural activity during a task that necessitated GPC. Patients made a match/mismatch decision between a 3-letter string and the following auditory bi-phoneme. We characterized the distribution and timing of evoked broadband high gamma (70-170 Hz) as well as phase-locking between electrodes. The precentral gyrus emerged with a high concentration of broadband high gamma responses to visual and auditory language as well as mismatch effects. The pars opercularis, supramarginal gyrus, and superior temporal gyrus were also involved. The precentral gyrus showed strong phase-locking with the caudal fusiform gyrus during letter-string presentation and with surrounding perisylvian cortex during the bimodal visual-auditory comparison period. These findings hint at a role for precentral cortex in transducing visual into auditory codes during silent reading.
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Affiliation(s)
- Erik Kaestner
- Center for Multimodal Imaging and Genetics, University of California, San Diego, USA
| | - Xiaojing Wu
- Department of Neurology, NYU Langone School of Medicine, New York, USA
| | - Daniel Friedman
- Department of Neurology, NYU Langone School of Medicine, New York, USA
| | - Patricia Dugan
- Department of Neurology, NYU Langone School of Medicine, New York, USA
| | - Orrin Devinsky
- Department of Neurology, NYU Langone School of Medicine, New York, USA
| | - Chad Carlson
- Department of Neurology, Medical College of Wisconsin, Milwaukee, USA
| | - Werner Doyle
- Department of Neurology, NYU Langone School of Medicine, New York, USA
- Department of Neurosurgery, NYU Langone School of Medicine, New York, USA
| | - Thomas Thesen
- Department of Neurology, NYU Langone School of Medicine, New York, USA
| | - Eric Halgren
- Department of Neurosciences, University of California at San Diego, La Jolla, USA
- Department of Radiology, University of California at San Diego, La Jolla, USA
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Tuckute G, Paunov A, Kean H, Small H, Mineroff Z, Blank I, Fedorenko E. Frontal language areas do not emerge in the absence of temporal language areas: A case study of an individual born without a left temporal lobe. Neuropsychologia 2022; 169:108184. [DOI: 10.1016/j.neuropsychologia.2022.108184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 12/07/2021] [Accepted: 02/15/2022] [Indexed: 10/19/2022]
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Bunker LD, Hillis AE. Vascular syndromes: Revisiting classification of poststroke aphasia. HANDBOOK OF CLINICAL NEUROLOGY 2022; 185:37-55. [PMID: 35078609 DOI: 10.1016/b978-0-12-823384-9.00002-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Over 150 years have passed since the first formal description of aphasia associated with localized neurologic damage. In the years since that time, a significant amount of research has been conducted to identify/explain the locations and functions of the brain regions responsible for (or associated with) language as well as to describe the various types of aphasia resulting from injury to these locations. Many of these attempts to associate somewhat predictable patterns of language deficits with damage to specific structures have been confounded by atypical reports and considerable variability in either the behavioral presentation and/or structural damage that directly contradict/oppose some of the proposed theories. However, considering the aphasias as vascular syndromes, or a collection of symptoms associated with damage to various structures supplied by a specific artery, accounts for both the predictability and the variability seen. This chapter presents a brief history of aphasia classification, the vascular territories commonly associated with aphasia, the different aphasic vascular syndromes, and the typical recovery/evolution of aphasia presentation over time.
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Affiliation(s)
- Lisa D Bunker
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Argye Elizabeth Hillis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, United States.
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Broca-Wernicke theories: A historical perspective. HANDBOOK OF CLINICAL NEUROLOGY 2022; 185:25-34. [PMID: 35078602 DOI: 10.1016/b978-0-12-823384-9.00001-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
This chapter reviews the history of some of the theoretical models of aphasia, with a focus on the classic Broca-Wernicke model. It sets off in the 19th century when postmortem studies of patients with aphasia led to the first anatomic models of cerebral language representation. I chose to focus on the famous Broca-Wernicke model, not only because it remains influential in daily clinical decision making, but also because of the intriguing fact that the legacy of these physicians differs from their original opinions and theories. The chapter ends in the second half of the 20th century, before the advent of CT and MRI. Over time, there has never been much consensus on the anatomic location of specific language functions, and there remains an ongoing discussion between those who assign language functions to certain anatomic brain regions, and those who advocate that language functions cannot be localized as they are widely distributed across the brain. In retrospect, many historic figures such as Broca, Wernicke, Goldstein, or Luria, actually proposed theories that combined both localist and holist views, already reflecting our modern scientific views on language representation.
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