- 1Department of Psychology and Sociology, Universidad de Zaragoza, Zaragoza, Spain
- 2Neurology Clinic, Department of Neuroscience, Padua University Hospital, Padova, Italy
- 3Padova Neuroscience Center, University of Padova, Padova, Italy
Introduction
Cognitive Neurosurgery echoes the knowledge exchange between neurosurgical teams and cognitive sciences (Ojemann, 2003; Landerl et al., 2009; Lang, 2017; Wang et al., 2021). Efforts entail neuroimaging paradigms for presurgical mapping (e.g., Silva et al., 2018; Di Giovanni and Collins, 2023; Papanicolaou, 2023), new protocols for awake surgery (e.g., Rossi et al., 2019; Ius et al., 2021; Gomez-Andres et al., 2022), the study of neuroplasticity after surgery (e.g., Cargnelutti et al., 2020), or the study of cognitive prognosis after surgery (e.g., Mandonnet et al., 2017; Mrah et al., 2022), among others. One of the most critical issues regards the contribution of cognitive neuroscience to the awake surgery process. During awake brain surgery, electrostimulation is applied over the cortex or white matter while the patient performs a cognitive task, provoking a transient disruption in the patient's performance. In this way, functional areas are delimited and preserved. Direct electrostimulation can inform cognitive science as much as the actual knowledge in cognition can inform neurosurgery.
Different journals have devoted special issues to these topics, including ours (La Corte et al., 2022; Montemurro and Trevisi, 2022; Salillas et al., 2022); the potential contributions that neuroscientists can make to improving awake surgery are vast. Here, we want to stress a highly pragmatic aspect: the relevance of focusing on sensitivity in cognitive paradigms.
One task with non-equivalent items for different brain sites
Some recent reviews have tried to compile the protocols used for surgery (Ruis, 2018; Bu et al., 2021). They involve mainly language paradigms, but not only. And teams vary in the type of tests used. These reviews report commonalities and start a way to generate a specific brain-to-task map that could guide the cognitive part of electrostimulation.
What calls attention is that, in the end, a minimal set of tasks is matched to very different areas in the brain (Bu et al., 2021). For example, picture naming is suggested to be applied to the frontal lobe, the anterior temporal lobe, the posterior temporal lobe, the occipital lobe, and the parietal lobe. That is, virtually to the whole left hemisphere cortex. Furthermore, when addressing the tasks to be applied to white matter stimulation, picture naming is meant to be used to any of the major white matter tracts: the frontal aslant tract, the superior longitudinal fasciculus, the inferior fronto-occipital fasciculus, de uncinate fasciculus, or the inferior longitudinal fasciculus. That is, almost every central white matter tract involved in language. Similarly, semantic association tasks are applied when addressing the frontal lobe, the anterior temporal lobe, or the posterior temporal lobe. Some other tasks appear more specific, such as reading when handling the posterior temporal or occipital lobes or calculation and visuospatial tasks for addressing the parietal lobes.
While stimulation with those tasks to all those sites provokes errors and ultimately delimits functional limits, it is known that those errors will be due to transient damage to very different processes or representations. It is known that the same task (i.e., naming) can elicit various errors, for example, semantic or phonological paraphasias, depending on the stimulated area or tract. This warrants the validity and sensitivity of this production task, which taps different processes. There is even further complexity in verb production items (Rofes and Miceli, 2014). The transiently altered component ultimately defines the commission error.
Increasing the sensibility of the exploration
The issue we want to put forward is whether we can optimally target specific processes with a proper selection of items within those tasks. There is no need for cognitive experimentation in a delicate surgical context. It should be enough to adapt the cognitive paradigms within a given hospital protocol. It does not disregard implementing new robust known paradigms. Our view here entails a detailed analysis of the items and the errors they provoke. It involves an analysis of the linguistic characteristics of the stimulus and the linguistic characteristics of the errors. Such analysis would likely reveal a systematic association between item profiles and error quality. And what is crucial here is the neural basis of those associations.
On the other hand, the association might also occur between a given stimulated brain area and only a particular type of item (for example, a transitive verb), frequently provoking the same kind of error. This more straightforward pattern can also result in a higher probability of error given an item type and a specific locus. In turn, it is crucial to revise the usual paradigms. The applied standardization only sometimes attends to the whole quality of the items, such as the semantic structure, morphological characteristics, or the argument mapping of verbs. In this way, the brain-to-task map could be refined with specific items within a particular task.
Other tasks like visuospatial processing are less prone to variation across items. Hence, line bisection and some proposed verbal task variations (Bouyer et al., 2023) are sensitive to the single item. As shown below, mathematical cognition is another domain for which items must be scrutinized.
We have exemplified this line of action in three tasks: picture naming, verb generation, and simple calculation.
Gobbo et al. (2021) showed that the semantic characteristics of the nouns used in the picture naming task DO80 (Metz-Lutz et al., 1991) differ in at least one way. The DO80 is based on previously standardized items on name agreement, image agreement, frequency, familiarity, visual complexity, age of acquisition, and level of education (Snodgrass and Vanderwart, 1980; Metz-Lutz et al., 1991). In this case, we focused on the semantic hierarchization of the items and the degree of systematicity in the emission of specific errors. Both items and errors were analyzed using the WordNet database (Roventini et al., 2000). The role of hierarchization in semantics is known (Warrington, 1975; McCarthy and Warrington, 2016), and this is an aspect not considered in tests such as the Boston Naming Test or the D80. Consequently, they are applied in surgery as if the items were equivalent.
In Gobbo et al. (2021), we showed how co-hyponym errors (“lemon” for “orange”) were more likely to be found upon stimulation to temporal areas. Moreover, the number of hyperonyms (i.e., “vehicle” for “car”) predicted the emission of a synonym (“automobile” for “car”) upon inferior frontal lobe stimulation. Hence, it is one of the aspects in which we showed that DO80 items differ, though there are likely more. Other potential differences, such as the phonological complexity of the word in the language at the test, have yet to be assessed. In this case, the dorsal pathway could be a potentially sensitive area.
As per verb generation, another frequently used task, we have recently shown (Salillas et al., 2023) that the restrictions imposed by the eliciting noun can determine the sensitivity to stimulation on the inferior frontal lobe. Following the robust paradigm by Thompson-Schill et al. (1997, 1998) we retrospectively classified the items commonly used in a hospital. The classification attended to the verb selection effort implied by the nouns. Items such as “wheel” require higher selection efforts to finally emit a verb than nouns such as “scissors,” which prompts the verb “cut” after shallow selection efforts. Considering this variable, BA44 and BA45 could be functionally localized, even in right lateralization or reorganization cases. It is an example of how selecting robust paradigms from neurocognitive literature can help gain specificity and locality before surgery. A close analysis of errors committed during inferior frontal stimulation could reveal that most errors are committed after nouns requiring high selection efforts.
Switching to another cognitive domain, mathematical cognition is also frequently assessed when targeting the parietal lobe (Chan-Seng et al., 2014). Concretely, simple calculation is a task often used (Duffau et al., 2002; Roux et al., 2009; Pu et al., 2011; Yu et al., 2011; Della Puppa et al., 2013; Semenza et al., 2017). Here, lateralization might be critical (Semenza et al., 2017; Salillas et al., 2021): we have shown that both hemispheres orchestrate to solve simple calculation processes. While the left hemisphere prefers retrieval mechanisms, the right hemisphere performs approximation during calculation. These conclusions also apply to item scrutiny: when the left parietal areas are stimulated, verifying items with a competing wrong answer (i.e., 2 × 3 = 8) may show more sensitivity and a higher probability of error after stimulation in the left hemisphere. In contrast, verifying items with unrelated answers (i.e., 2 × 3 = 7) may offer more sensitivity when stimulating the right parietal areas.
The three examples we discussed emphasize the opportunity to analyze the errors considering each item and the brain site. Most studies with direct electrostimulation report failure or hit on each item, irrespective of the nature of the errors. However, in some domains, commission errors (i.e., when participants provide a wrong answer instead of a hit or such answers as “I don't know”) are essential. As our examples demonstrate, the analysis of the quality of commission errors provides, in fact, further precious information that can reveal the precise nature of the processes involved. Systematic reports of commission errors, if not throughout analyses, may thus become routine rather than occasional in the future.
Another promising way to explore task/stimuli specifics, in this case before surgery, is using navigated transcranial magnetic stimulation (nTMS). Some studies have done so in object naming, yet a distinction between items has yet to be made. Qualitative analysis of errors has been performed after stimulating the cortex or the white matter tracts (anomia, semantic paraphasia, phonological paraphasia (e.g., Hernandez-Pavon et al., 2014; Vasileiadi et al., 2023), however; no attention has been paid to the actual name requested behind the errors. A retrospective analysis in that line for any TMS study done so far could be a simple and informative advance.
Meta-analytic reviews on TMS studies are also valuable in this respect. A recent meta-analysis (Ntemou et al., 2023) of TMS studies on verb and sentence processing has nicely pointed to some variables within verb and sentence processing, attending to certain aspects such as regular and irregular verbs, syntax complexity, or action semantics. This kind of work can guide the items to choose during surgery.
Relevance and conclusion
Why is this important? Electrostimulation time during awake surgery is limited. Long lists of items are usually applied, and there may be a way to determine the list of items optimal to the stimulated zone. Given those broad pools of items, a negative site may mean that the area is not functional or that the (≥2) items applied to that site could have been better chosen. The proposed item refinement and selection might seem subtle; however, they probably explain why linguistic errors are proportionally lower during stimulation than expected (Collée et al., 2023). We believe the most pertinent items within a task are probably left unknown, and the exploration might sometimes be blind. On the other hand, concrete knowledge of the items used would also be necessary in multitasking (Duffau et al., 2022), where inter-systems are addressed. Hence, increasing the sensitivity of the items requires selecting them according to a fundamental and well-tested rationale to adjust the actual probability of error. In turn, we would avoid false negatives and re-assure functional limits for surgery.
Author contributions
ES: Writing – original draft, Writing – review & editing. SD: Writing – review & editing. CS: Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Bouyer, C., Gimenes, M., Dickert, J., Vicente, S., Stal, V., Wager, M., et al. (2023). Validation of the BLOC test: a computerized oral line bisection task in French healthy participants. Appl. Neuropsychol. 11, 1–9. doi: 10.1080/23279095.2023.2290190
Bu, L., Lu, J., Zhang, J., and Wu, J. (2021). Intraoperative cognitive mapping tasks for direct electrical stimulation in clinical and neuroscientific contexts. Front. Hum. Neurosci. 15:612891. doi: 10.3389/fnhum.2021.612891
Cargnelutti, E., Ius, T., Skrap, M., and Tomasino, B. (2020). What do we know about pre- and postoperative plasticity in patients with glioma? A review of neuroimaging and intraoperative mapping studies. NeuroImage Clin. 28:102435. doi: 10.1016/j.nicl.2020.102435
Chan-Seng, E., Moritz-Gasser, S., and Duffau, H. (2014). Awake mapping for low-grade gliomas involving the left sagittal stratum: Anatomofunctional and surgical considerations: Clinical article. J. Neurosurg. 120, 1069–1077. doi: 10.3171/2014.1.JNS132015
Collée, E., Vincent, A., Visch-Brink, E., De Witte, E., Dirven, E. C., and Satoer, D. (2023). Localization patterns of speech and language errors during awake brain surgery: a systematic review. Neurosurg. Rev. 46, 1–18. doi: 10.1007/s10143-022-01943-9
Della Puppa, A., Pellegrin, D., D'Avella, S., Gioffrè, E., Munari, G., Saladini, M., et al. (2013). Right parietal cortex and calculation processing: Intraoperative functional mapping of multiplication and addition in patients affected by a brain tumor Clinical article. J. Neurosurg. 119, 1107–1111. doi: 10.3171/2013.6.JNS122445
Di Giovanni, D., and Collins, D. A. (2023). A state-of-the-art review on deep learning for estimating eloquent cortex from resting-state fMRI. Neurosurg. Rev. 46:2154. doi: 10.1007/s10143-023-02154-6
Duffau, H., Denvil, D., Lopes, M., Gasparini, F., Cohen, L., Capelle, L., et al. (2002). Intraoperative mapping of the cortical areas involved in multiplication and subtraction: an electrostimulation study in a patient with a left parietal glioma. J. Neurol. Neurosurg. Psychiatry 73, 733–738. doi: 10.1136/jnnp.73.6.733
Duffau, H., Ng, S., Lemaitre, A. L., Moritz-Gasser, S., and Herbet, G. (2022). Constant multi-tasking with time constraint to preserve across-network dynamics throughout awake surgery for low-grade glioma: a necessary step to enable patients resuming an active life. Front. Oncol. 12:924762. doi: 10.3389/fonc.2022.924762
Gobbo, M., De Pellegrin, S., Bonaudo, S., Semenza, C., Puppa, C., Della, A., et al. (2021). Two dissociable semantic mechanisms predict naming errors and their responsive brain sites in awake surgery. DO80 revisited. Neuropsychologia 151:107727. doi: 10.1016/j.neuropsychologia.2020.107727
Gomez-Andres, A., Cunillera, T., Rico, I., Naval-Baudin, P., Camins, A., Fernandez-Coello, A., et al. (2022). The role of the anterior insular cortex in self-monitoring: a novel study protocol with electrical stimulation mapping and functional magnetic resonance imaging. Cortex 157, 231–244. doi: 10.1016/j.cortex.2022.09.008
Hernandez-Pavon, J. C., Mäkelä, N., Lehtinen, H., Lioumis, P., and Mäkelä, J. P. (2014). Effects of navigated TMS on object and action naming. Front. Hum. Neurosci. 8:100259. doi: 10.3389/fnhum.2014.00660
Ius, T., Mazzucchi, E., Tomasino, B., Pauletto, G., Sabatino, G., Della Pepa, G. M., et al. (2021). Multimodal integrated approaches in low grade glioma surgery. Sci. Rep. 11, 1–16. doi: 10.1038/s41598-021-87924-2
La Corte, E., Ordóñez-Rubiano, E. G., Paiva, W. S., Johnson, J. M., and Serrao, G. (2022). Editorial: Current state of the art of human brain white matter: From structural and functional connectivity to neurosurgical applications. Front. Neurol. 13:1068212. doi: 10.3389/fneur.2022.1068212
Landerl, K., Fussenegger, B., Moll, K., and Willburger, E. (2009). Dyslexia and dyscalculia: two learning disorders with different cognitive profiles. J. Exp. Child Psychol. 103, 309–324. doi: 10.1016/j.jecp.2009.03.006
Lang, S. (2017). Cognitive eloquence in neurosurgery: Insight from graph theoretical analysis of complex brain networks. Med. Hypotheses 98, 49–56. doi: 10.1016/j.mehy.2016.11.010
Mandonnet, E., Cerliani, L., Siuda-Krzywicka, K., Poisson, I., Zhi, N., Volle, E., et al. (2017). A network-level approach of cognitive flexibility impairment after surgery of a right temporo-parietal glioma. Neurochirurgie 63, 308–313. doi: 10.1016/j.neuchi.2017.03.003
McCarthy, R. A., and Warrington, E. K. (2016). Past, present, and prospects: Reflections 40 years on from the selective impairment of semantic memory (Warrington, 1975). Q. J. Exp. Psychol. 69, 1941–1968. doi: 10.1080/17470218.2014.980280
Metz-Lutz, M. N., Kremin, H., Deloche, G., Hannequin, D., Ferrand, I., Blavier, A., et al. (1991). Standardisation d'un test de dénomination orale: contrôle des effets de l'âge, du sexe et du niveau de scolarité chez les sujets adultes normaux. Rev Neuropsychol 1, 73–95.
Montemurro, N., and Trevisi, G. (2022). Editorial: Awake surgery for brain tumors and brain connectomics. Front. Oncol. 12:10944818. doi: 10.3389/fonc.2022.1094818
Mrah, S., Descoteaux, M., Wager, M., Bor,é, A., Rheault, F., Thirion, B., et al. (2022). Network-level prediction of set-shifting deterioration after lower-grade glioma resection. J. Neurosurg. 137, 1329–1337. doi: 10.3171/2022.1.JNS212257
Ntemou, E., Svaldi, C., Jonkers, R., Picht, T., and Rofes, A. (2023). Verb and sentence processing with TMS: a systematic review and meta-analysis. Cortex 162, 38–55. doi: 10.1016/j.cortex.2023.01.005
Ojemann, G. A. (2003). The neurobiology of language and verbal memory: Observations from awake neurosurgery. Int. J. Psychophysiol. 12, 141–146. doi: 10.1016/S0167-8760(03)00051-5
Papanicolaou, A. C. (2023). Non-invasive mapping of the neuronal networks of language. Brain Sci. 13:1457. doi: 10.3390/brainsci13101457
Pu, S., Li, Y. N., Wu, C. X., Wang, Y. Z., Zhou, X. L., Jiang, T., et al. (2011). Cortical areas involved in numerical processing: an intraoperative electrostimulation study. Stereotact. Funct. Neurosurg. 89, 42–47. doi: 10.1159/000321186
Rofes, A., and Miceli, G. (2014). Language mapping with verbs and sentences in awake surgery: a review. Neuropsychol. Rev. 24, 185–199. doi: 10.1007/s11065-014-9258-5
Rossi, M., Nibali, M. C., Torregrossa, F., Bello, L., and Grasso, G. (2019). Innovation in neurosurgery: the concept of cognitive mapping. World Neurosurg. 131, 364–370. doi: 10.1016/j.wneu.2019.06.177
Roux, F. E., Boukhatem, L., Draper, L., Sacko, O., and Démonet, J. F. (2009). Cortical calculation localization using electrostimulation - Clinical article. J. Neurosurg. 110, 1291–1299. doi: 10.3171/2008.8.JNS17649
Roventini, A., Alonge, A., Calzolari, N., Magnini, B., and Bertagna, F. (2000). ItalWordNet: A Large Semantic Database for Italian. 2nd International Conference on Language Resources and Evaluation, LREC 2000. Available online at: http://www.lrec-conf.org/proceedings/lrec2000/pdf/129.pdf (accessed January 9, 2024).
Ruis, C. (2018). Monitoring cognition during awake brain surgery in adults: a systematic review. J. Clin. Neuro. 40, 1081–1104. doi: 10.1080/13803395.2018.1469602
Salillas, E., Della Puppa, A., and Semenza, C. (2022). Editorial: Bridging cognitive neuroscience and neurosurgery for effective brain mapping. Front. Hum. Neurosci. 16:899341. doi: 10.3389/fnhum.2022.899341
Salillas, E., Luisi, C., Arcara, G., Varli, E. N., d'Avella, D., and Semenza, C. (2023). Verb generation for presurgical mapping: gaining specificity. J. Neuropsychol. 7:12355. doi: 10.1111/jnp.12355
Salillas, E., Piccione, F., Tomasso, D., Zago, S., Arcara, S. G., and Semenza, C. (2021). Neurofunctional components of simple calculation: a magnetoencephalography study. Cereb. Cortex 31, 1149–1162. doi: 10.1093/cercor/bhaa283
Semenza, C., Salillas, E., Pallegrin, D., and Della Puppa, S. (2017). Balancing the 2 hemispheres in simple calculation: evidence from direct cortical electrostimulation. Cereb. Cortex 27, 4806–4814. doi: 10.1093/cercor/bhw277
Silva, M. A., See, A. P., Essayed, W. I., Golby, A. J., and Tie, Y. (2018). Challenges and techniques for presurgical brain mapping with functional MRI. NeuroImage Clin. 17, 794–803. doi: 10.1016/j.nicl.2017.12.008
Snodgrass, J. G., and Vanderwart, M. (1980). A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity. J. Exp. Psychol. Hum. Learn. Mem. 6, 174–215. doi: 10.1037/0278-7393.6.2.174
Thompson-Schill, S. L., D'Esposito, M., Aguirre, G. K., and Farah, M. J. (1997). Role of left inferior prefrontal cortex in retrieval of semantic knowledge: A reevaluation. Proc. Natl. Acad. Sci. U. S. A. 94, 14792–14797. doi: 10.1073/pnas.94.26.14792
Thompson-Schill, S. L., Swick, D., Farah, M. J., D'Esposito, M., Kan, I. P., Knight, R. T., et al. (1998). Verb generation in patients with focal frontal lesions: A neuropsychological test of neuroimaging findings. Proc. Natl. Acad. Sci. U. S. A. 95, 15855–15860. doi: 10.1073/pnas.95.26.15855
Vasileiadi, M., Schuler, A. L., Woletz, M., Linhardt, D., Windischberger, C., Tik, M., et al. (2023). Functional connectivity explains how neuronavigated TMS of posterior temporal subregions differentially affect language processing. Brain Stimul. 16, 1062–1071. doi: 10.1016/j.brs.2023.06.014
Wang, P., Zhao, Z., Bu, L., Kudulaiti, N., Shan, Q., Zhou, Y., et al. (2021). Clinical applications of neurolinguistics in neurosurgery. Front. Med. 15, 562–574. doi: 10.1007/s11684-020-0771-z
Warrington, E. K. (1975). The selective impairment of semantic memory. Q. J. Exp. Psychol. 27, 635–657. doi: 10.1080/14640747508400525
Keywords: awake neurosurgery, direct cortical electrostimulation, cognitive neurosurgery, brain mapping, item sensitivity
Citation: Salillas E, De Pellegrin S and Semenza C (2024) Awake brain surgery: toward optimal cognitive explorations. Front. Hum. Neurosci. 18:1369462. doi: 10.3389/fnhum.2024.1369462
Received: 12 January 2024; Accepted: 18 March 2024;
Published: 27 March 2024.
Edited by:
Djaina Satoer, Erasmus Medical Center, NetherlandsReviewed by:
Giannantonio Spena, San Matteo Hospital Foundation (IRCCS), ItalyCopyright © 2024 Salillas, De Pellegrin and Semenza. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Elena Salillas, salillas.elena@gmail.com