Chrome Extension
WeChat Mini Program
Use on ChatGLM

Cellular, Connectomic, and Cognitive Impact of Glioma and Its Surgical Resection

medrxiv(2025)

University of Cambridge | University of Oxford | University of Pennsylvania | MRC Cognition and Brain Sciences Unit

Cited 0|Views1
Abstract
Awake surgery with intraoperative direct electrical stimulation (DES) is the gold-standard to maximize the extent of resection in diffuse cerebral gliomas (Duffau et al. 2023). While this approach is effective in testing for simple motor and language functions, it is inadequate for mapping higher-order cognitive functions such as attention, working memory, and cognitive control. Given that systems neuroscience is moving away from a localizationist to a connectomic perspective of human brain function, ideally, we could better understand how gliomas integrate within the connectome and how performing surgery on the brains mesoscale hub architecture affects long-term cognitive outcomes. To address problem, we combined cellular, connectomic, and cognitive data from healthy individuals (n=629) across the lifespan, cross-sectional glioma imaging (n=98), the Allan Human Brain Atlas (n=6), and a rare cohort of diffuse glioma patients (n=17) followed longitudinally as they underwent neurosurgery. First, we validate that meta-analytic cognitive activation maps co-localize with the Multiple Demand (MD) system and show that diffuse gliomas preferentially localize to the core of this brain network. Second, cellular decoding of the MD core network reveals that it is uniquely enriched with oligodendrocyte precursor cells, glioma proto-oncogenes, and 5HT2-serotonergic neurotransmission. Third, the MD system is preferentially enriched for connector hubs to scaffolding the brains mesoscale hub architecture and that diffuse gliomas induce reorganization in this architecture thereby minimizing cognitive deficits. Lastly, surgical resection of connector, rather than provincial, hubs leads to long-term cognitive deficits while maintenance or dissolution of interhemispheric modularity predicted long-term cognitive outcomes. With the recent demonstration of the high concordance between DES and functional brain mapping (Saurrubo et al. 2024), this study provides new insight into how gliomas integrate within the connectome and that mapping the mesoscale hub architecture in each patient may improve presurgical mapping and postsurgical rehabilitation. Given the small but deeply sampled neurosurgical cohort, additional studies are now warranted to assess the value of mapping mesoscale connectivity for presurgical mapping and interventional neurorehabilitation (Poologaindran et al. 2022). ### Competing Interest Statement MES is the co-founder of Omniscient Neurotechnology ### Funding Statement This research was supported by the Alan Turing Institute and NSERC grants. It was also supported by a Guarantors of Brain, Cancer Research UK Cambridge Centre, The Brain Tumour Charity and the EMERGIA Junta de Andalucia program. Y.E. is funded by a Royal Society Dorothy Hodgkin Research Fellowship (DHF130100). MA was funded by a Cambridge Trust Yousef Jameel Scholarship. This research was also supported by the NIHR Cambridge Biomedical Research Centre (BRC-1215-20014). SJP (NIHR Career Development Fellowship, CDF-2018-11-ST2-003) is funded by the National Institute for Health Research (NIHR) for this research project. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: The study was approved by the Cambridge Central Research Ethics Committee (Reference number 16/EE/0151) and all patients provided written informed consent I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes All data produced in the present study are available upon reasonable request to the authors
More
Translated text
PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本研究通过结合细胞、连接组和认知数据,探讨了胶质瘤在连接组中的整合方式以及手术切除对大脑 mesoscale 枢纽架构的影响,提出了映射每个患者 mesoscale 连接性以改善术前映射和术后康复的新见解。

方法】:研究使用了健康个体(n=629)的横断面数据、胶质瘤成像(n=98)、Allan 人类大脑图谱(n=6)以及一组罕见的弥漫性胶质瘤患者(n=17),这些患者在神经外科手术过程中进行了纵向跟踪。

实验】:通过验证认知激活图与多需求(MD)系统的共定位,发现弥漫性胶质瘤偏好性地定位于该大脑网络的核心,并对 MD 核心网络进行细胞解码,发现其富含少突胶质细胞前体细胞、胶质瘤原癌基因和 5HT2-血清素能神经传递。研究还发现 MD 系统偏好性地富含构建大脑 mesoscale 枢纽架构的连接枢纽,而弥漫性胶质瘤导致该架构的重组织,从而最小化认知缺陷。最后,手术切除连接枢纽而非省级枢纽导致长期认知缺陷,而保留或溶解两侧大脑模块性预测了长期认知结果。