{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T22:35:25Z","timestamp":1773182125333,"version":"3.50.1"},"reference-count":80,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2021,12,4]],"date-time":"2021-12-04T00:00:00Z","timestamp":1638576000000},"content-version":"vor","delay-in-days":64,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Gates Cambridge Trust (to ASM), Cancer Research UK (to RRG), and the National Institute of Health","award":["T32MH019112 to JS"],"award-info":[{"award-number":["T32MH019112 to JS"]}]},{"name":"Gates Cambridge Trust (to ASM), Cancer Research UK (to RRG), and the National Institute of Health","award":["K08MH120564 to AAB"],"award-info":[{"award-number":["K08MH120564 to AAB"]}]},{"name":"Medical Research Council infrastructure","award":["MR\/M009041\/1"],"award-info":[{"award-number":["MR\/M009041\/1"]}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["OPP1144"],"award-info":[{"award-number":["OPP1144"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Diffuse gliomas have been hypothesized to originate from neural stem cells in the subventricular zone and develop along previously healthy brain networks. Here, we evaluated these hypotheses by mapping independent sources of glioma localization and determining their relationships with neurogenic niches, genetic markers and large-scale connectivity networks. By applying independent component analysis to lesion data from 242 adult patients with high- and low-grade glioma, we identified three lesion covariance networks, which reflect clusters of frequent glioma localization. Replicability of the lesion covariance networks was assessed in an independent sample of 168 glioma patients. We related the lesion covariance networks to important clinical variables, including tumour grade and patient survival, as well as genomic information such as molecular genetic subtype and bulk transcriptomic profiles. Finally, we systematically cross-correlated the lesion covariance networks with structural and functional connectivity networks derived from neuroimaging data of over 4000 healthy UK BioBank participants to uncover intrinsic brain networks that may that underlie tumour development. The three lesion covariance networks overlapped with the anterior, posterior and inferior horns of the lateral ventricles respectively, extending into the frontal, parietal and temporal cortices. These locations were independently replicated. The first lesion covariance network, which overlapped with the anterior horn, was associated with low-grade, isocitrate dehydrogenase -mutated\/1p19q-codeleted tumours, as well as a neural transcriptomic signature and improved overall survival. Each lesion covariance network significantly coincided with multiple structural and functional connectivity networks, with the first bearing an especially strong relationship with brain connectivity, consistent with its neural transcriptomic profile. Finally, we identified subcortical, periventricular structures with functional connectivity patterns to the cortex that significantly matched each lesion covariance network. In conclusion, we demonstrated replicable patterns of glioma localization with clinical relevance and spatial correspondence with large-scale functional and structural connectivity networks. These results are consistent with prior reports of glioma growth along white matter pathways, as well as evidence for the coordination of glioma stem cell proliferation by neuronal activity. Our findings describe how the locations of gliomas relate to their proposed subventricular origins, suggesting a model wherein periventricular brain connectivity guides tumour development.<\/jats:p>","DOI":"10.1093\/braincomms\/fcab289","type":"journal-article","created":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T15:13:46Z","timestamp":1638198826000},"source":"Crossref","is-referenced-by-count":22,"title":["Lesion covariance networks reveal proposed origins and pathways of diffuse gliomas"],"prefix":"10.1093","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0780-3864","authenticated-orcid":false,"given":"Ayan S","family":"Mandal","sequence":"first","affiliation":[{"name":"Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Cambridge, CB2 0SZ, UK"},{"name":"Department of Psychiatry, Brain-Gene Development Lab, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael","family":"Romero-Garcia","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Cambridge, CB2 0SZ, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jakob","family":"Seidlitz","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Brain-Gene Development Lab, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA"},{"name":"Department of Child and Adolescent Psychiatry and Behavioral Science, Children\u2019s Hospital of Philadelphia, Philadelphia, PA 19104, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael G","family":"Hart","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Cambridge, CB2 0SZ, UK"},{"name":"Academic Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0SZ, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aaron F","family":"Alexander-Bloch","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Brain-Gene Development Lab, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA"},{"name":"Department of Child and Adolescent Psychiatry and Behavioral Science, Children\u2019s Hospital of Philadelphia, Philadelphia, PA 19104, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Suckling","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Cambridge, CB2 0SZ, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2021,12,4]]},"reference":[{"issue":"8","key":"2022020823375928800_fcab289-B1","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1056\/NEJMra043666","article-title":"Neural stem cells and the origin of gliomas","volume":"353","author":"Sanai","year":"2005","journal-title":"New Engl J Med"},{"issue":"2","key":"2022020823375928800_fcab289-B2","doi-asserted-by":"crossref","first-page":"113","DOI":"10.3109\/03009734.2012.658976","article-title":"On the origin of glioma","volume":"117","author":"Jiang","year":"2012","journal-title":"Upsala J Med Sci"},{"issue":"7717","key":"2022020823375928800_fcab289-B3","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1038\/s41586-018-0389-3","article-title":"Human glioblastoma arises from subventricular zone cells with low-level driver mutations","volume":"560","author":"Lee","year":"2018","journal-title":"Nature"},{"issue":"11","key":"2022020823375928800_fcab289-B4","doi-asserted-by":"crossref","first-page":"3294","DOI":"10.1093\/brain\/awaa277","article-title":"Genetic, cellular, and connectomic characterization of the brain regions commonly plagued by glioma","volume":"143","author":"Mandal","year":"2020","journal-title":"Brain"},{"issue":"3","key":"2022020823375928800_fcab289-B5","doi-asserted-by":"crossref","first-page":"533","DOI":"10.3174\/ajnr.A3253","article-title":"Probabilistic radiographic atlas of glioblastoma phenotypes","volume":"34","author":"Ellingson","year":"2013","journal-title":"Am J Neuroradiol"},{"issue":"7","key":"2022020823375928800_fcab289-B6","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1038\/nrn3765","article-title":"A neurocentric perspective on glioma invasion","volume":"15","author":"Cuddapah","year":"2014","journal-title":"Nat Rev Neurosci"},{"issue":"10","key":"2022020823375928800_fcab289-B7","doi-asserted-by":"crossref","first-page":"1292","DOI":"10.1093\/neuonc\/noy083","article-title":"An active role for neurons in glioma progression: Making sense of Scherer\u2019s structures","volume":"20","author":"Gillespie","year":"2018","journal-title":"Neuro-Oncol"},{"issue":"1","key":"2022020823375928800_fcab289-B8","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1186\/s12957-016-0820-x","article-title":"Clinical, radiological, and pathological features of 33 adult unilateral thalamic gliomas","volume":"14","author":"Zhang","year":"2016","journal-title":"World J Surg Oncol"},{"issue":"7","key":"2022020823375928800_fcab289-B9","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1038\/nrclinonc.2012.87","article-title":"Paediatric and adult malignant glioma: Close relatives or distant cousins?","volume":"9","author":"Jones","year":"2012","journal-title":"Nat Rev Clin Oncol"},{"issue":"5","key":"2022020823375928800_fcab289-B10","doi-asserted-by":"crossref","first-page":"856","DOI":"10.1016\/j.neuron.2019.08.037","article-title":"Patient-tailored, connectivity-based forecasts of spreading brain atrophy","volume":"104","author":"Brown","year":"2019","journal-title":"Neuron"},{"issue":"5","key":"2022020823375928800_fcab289-B11","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1038\/s41591-021-01309-6","article-title":"Four distinct trajectories of tau deposition identified in Alzheimer\u2019s disease","volume":"27","author":"Vogel","year":"2021","journal-title":"Nat Med"},{"issue":"1","key":"2022020823375928800_fcab289-B12","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1038\/s41467-017-02416-0","article-title":"Network connectivity determines cortical thinning in early Parkinson\u2019s disease progression","volume":"9","author":"Yau","year":"2018","journal-title":"Nat Commun"},{"issue":"5","key":"2022020823375928800_fcab289-B13","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1038\/nrn3465","article-title":"Imaging structural co-variance between human brain regions","volume":"14","author":"Alexander-Bloch","year":"2013","journal-title":"Nat Rev Neurosci"},{"issue":"36","key":"2022020823375928800_fcab289-B14","doi-asserted-by":"crossref","first-page":"8303","DOI":"10.1523\/JNEUROSCI.0357-05.2005","article-title":"Structural covariance in the human cortex","volume":"25","author":"Mechelli","year":"2005","journal-title":"J Neurosci"},{"issue":"7","key":"2022020823375928800_fcab289-B15","doi-asserted-by":"crossref","first-page":"2889","DOI":"10.1523\/JNEUROSCI.3554-12.2013","article-title":"The convergence of maturational change and structural covariance in human cortical networks","volume":"33","author":"Alexander-Bloch","year":"2013","journal-title":"J Neurosci"},{"key":"2022020823375928800_fcab289-B16","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.neuroimage.2017.12.060","article-title":"Structural covariance networks are coupled to expression of genes enriched in supragranular layers of the human cortex","volume":"171","author":"Romero-Garcia","year":"2018","journal-title":"NeuroImage"},{"key":"2022020823375928800_fcab289-B17","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.neuroimage.2018.05.028","article-title":"Structural covariance of brain region volumes is associated with both structural connectivity and transcriptomic similarity","volume":"179","author":"Yee","year":"2018","journal-title":"NeuroImage"},{"issue":"1","key":"2022020823375928800_fcab289-B18","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.neuron.2009.03.024","article-title":"Neurodegenerative diseases target large-scale human brain networks","volume":"62","author":"Seeley","year":"2009","journal-title":"Neuron"},{"issue":"1","key":"2022020823375928800_fcab289-B19","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1038\/s42003-021-01832-9","article-title":"Brain pathology recapitulates physiology: A network meta-analysis","volume":"4","author":"Vanasse","year":"2021","journal-title":"Commun Biol"},{"key":"2022020823375928800_fcab289-B20","doi-asserted-by":"crossref","first-page":"e08440","DOI":"10.7554\/eLife.08440","article-title":"Network structure of brain atrophy in de novo parkinson\u2019s disease","volume":"4","author":"Zeighami","year":"2015","journal-title":"eLife"},{"key":"2022020823375928800_fcab289-B21","doi-asserted-by":"crossref","first-page":"101848","DOI":"10.1016\/j.nicl.2019.101848","article-title":"Tau covariance patterns in Alzheimer\u2019s disease patients match intrinsic connectivity networks in the healthy brain","volume":"23","author":"Ossenkoppele","year":"2019","journal-title":"NeuroImage Clin"},{"issue":"Pt 9","key":"2022020823375928800_fcab289-B22","doi-asserted-by":"crossref","first-page":"2522","DOI":"10.1093\/brain\/awu164","article-title":"Human brain lesion-deficit inference remapped","volume":"137","author":"Mah","year":"2014","journal-title":"Brain"},{"issue":"2","key":"2022020823375928800_fcab289-B23","doi-asserted-by":"crossref","first-page":"fcaa062","DOI":"10.1093\/braincomms\/fcaa062","article-title":"Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia","volume":"2","author":"Zhao","year":"2020","journal-title":"Brain Commun"},{"issue":"6","key":"2022020823375928800_fcab289-B24","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1007\/s10278-013-9622-7","article-title":"The cancer imaging archive (TCIA): Maintaining and operating a public information repository","volume":"26","author":"Clark","year":"2013","journal-title":"J Digit Imaging"},{"issue":"1","key":"2022020823375928800_fcab289-B25","doi-asserted-by":"crossref","first-page":"170117","DOI":"10.1038\/sdata.2017.117","article-title":"Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features","volume":"4","author":"Bakas","year":"2017","journal-title":"Sci Data"},{"key":"2022020823375928800_fcab289-B26","volume-title":"Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","author":"Bakas","year":"2016"},{"issue":"8","key":"2022020823375928800_fcab289-B27","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1093\/neuonc\/noab106","article-title":"The 2021 WHO classification of tumors of the central nervous system: A summary","volume":"23","author":"Louis","year":"2021","journal-title":"Neuro-Oncology"},{"key":"2022020823375928800_fcab289-B28","first-page":"1","article-title":"Advanced normalization tools (ANTS)","volume":"2","author":"Avants","year":"2009","journal-title":"Insight J."},{"key":"2022020823375928800_fcab289-B29","doi-asserted-by":"crossref","first-page":"S208","DOI":"10.1016\/j.neuroimage.2004.07.051","article-title":"Advances in functional and structural MR image analysis and implementation as FSL","volume":"23","author":"Smith","year":"2004","journal-title":"NeuroImage"},{"issue":"2","key":"2022020823375928800_fcab289-B30","doi-asserted-by":"crossref","first-page":"782","DOI":"10.1016\/j.neuroimage.2011.09.015","article-title":"FSL 1","volume":"62","author":"Jenkinson","year":"2012","journal-title":"Neuroimage"},{"issue":"2","key":"2022020823375928800_fcab289-B31","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1109\/TMI.2003.822821","article-title":"Probabilistic independent component analysis for functional magnetic resonance imaging","volume":"23","author":"Beckmann","year":"2004","journal-title":"IEEE Trans Med Imaging"},{"issue":"10","key":"2022020823375928800_fcab289-B32","doi-asserted-by":"crossref","first-page":"1993","DOI":"10.1109\/TMI.2014.2377694","article-title":"The multimodal brain tumor image segmentation benchmark (BRATS)","volume":"34","author":"Menze","year":"2015","journal-title":"IEEE Trans Med Imaging"},{"key":"2022020823375928800_fcab289-B33","first-page":"02629","article-title":"Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge","volume":"1811","author":"Bakas","year":"2018","journal-title":"arXiv"},{"key":"2022020823375928800_fcab289-B34","doi-asserted-by":"crossref","first-page":"1542","DOI":"10.12688\/f1000research.8923.1","article-title":"TCGA workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages","volume":"5","author":"Silva","year":"2016","journal-title":"F1000Research"},{"issue":"7216","key":"2022020823375928800_fcab289-B35","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1038\/nature07385","article-title":"Comprehensive genomic characterization defines human glioblastoma genes and core pathways","volume":"455","author":"McLendon","year":"2008","journal-title":"Nature"},{"key":"2022020823375928800_fcab289-B36","doi-asserted-by":"crossref","first-page":"2481","DOI":"10.1056\/NEJMoa1402121","article-title":"Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas","volume":"372","author":"Cancer Genome Atlas Research Network","year":"2015","journal-title":"New Engl J Med"},{"issue":"1","key":"2022020823375928800_fcab289-B37","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1186\/1471-2105-12-480","article-title":"GC-content normalization for RNA-Seq data","volume":"12","author":"Risso","year":"2011","journal-title":"BMC Bioinform"},{"issue":"1","key":"2022020823375928800_fcab289-B38","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1093\/bioinformatics\/btp616","article-title":"edgeR: A Bioconductor package for differential expression analysis of digital gene expression data","volume":"26","author":"Robinson","year":"2010","journal-title":"Bioinformatics"},{"issue":"43","key":"2022020823375928800_fcab289-B39","doi-asserted-by":"crossref","first-page":"15545","DOI":"10.1073\/pnas.0506580102","article-title":"Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles","volume":"102","author":"Subramanian","year":"2005","journal-title":"Proc Natl Acad Sci USA"},{"issue":"11","key":"2022020823375928800_fcab289-B40","doi-asserted-by":"crossref","first-page":"2498","DOI":"10.1101\/gr.1239303","article-title":"Cytoscape: A software environment for integrated models of biomolecular interaction networks","volume":"13","author":"Shannon","year":"2003","journal-title":"Genome Res"},{"issue":"11","key":"2022020823375928800_fcab289-B41","doi-asserted-by":"crossref","first-page":"e13984","DOI":"10.1371\/journal.pone.0013984","article-title":"Enrichment map: A network-based method for gene-set enrichment visualization and interpretation","volume":"5","author":"Merico","year":"2010","journal-title":"PLoS One"},{"issue":"11","key":"2022020823375928800_fcab289-B42","doi-asserted-by":"crossref","first-page":"1523","DOI":"10.1038\/nn.4393","article-title":"Multimodal population brain imaging in the UK Biobank prospective epidemiological study","volume":"19","author":"Miller","year":"2016","journal-title":"Nature Neurosci"},{"key":"2022020823375928800_fcab289-B43","doi-asserted-by":"crossref","first-page":"116923","DOI":"10.1016\/j.neuroimage.2020.116923","article-title":"XTRACT - Standardised protocols for automated tractography in the human and macaque brain","volume":"217","author":"Warrington","year":"2020","journal-title":"NeuroImage"},{"key":"2022020823375928800_fcab289-B44","doi-asserted-by":"crossref","first-page":"117038","DOI":"10.1016\/j.neuroimage.2020.117038","article-title":"Generative modeling of brain maps with spatial autocorrelation","volume":"220","author":"Burt","year":"2020","journal-title":"NeuroImage"},{"key":"2022020823375928800_fcab289-B45","doi-asserted-by":"crossref","first-page":"118052","DOI":"10.1016\/j.neuroimage.2021.118052","article-title":"Comparing spatial null models for brain maps","volume":"236","author":"Markello","year":"2021","journal-title":"NeuroImage"},{"key":"2022020823375928800_fcab289-B46","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1016\/j.neuroimage.2018.05.070","article-title":"On testing for spatial correspondence between maps of human brain structure and function","volume":"178","author":"Alexander-Bloch","year":"2018","journal-title":"NeuroImage"},{"key":"2022020823375928800_fcab289-B47","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1016\/j.neuroimage.2014.07.051","article-title":"Group-PCA for very large fMRI datasets","volume":"101","author":"Smith","year":"2014","journal-title":"NeuroImage"},{"issue":"5","key":"2022020823375928800_fcab289-B48","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1191\/0962280203sm341ra","article-title":"Controlling the familywise error rate in functional neuroimaging: A comparative review","volume":"12","author":"Nichols","year":"2003","journal-title":"Stat Methods Med Res"},{"issue":"1","key":"2022020823375928800_fcab289-B49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-020-77228-2","article-title":"Survival outcome and prognostic factors in anaplastic oligodendroglioma: A single-institution study of 95 cases","volume":"10","author":"Shin","year":"2020","journal-title":"Sci Rep."},{"issue":"11","key":"2022020823375928800_fcab289-B50","doi-asserted-by":"crossref","first-page":"1225","DOI":"10.1093\/neuonc\/nor114","article-title":"Prognostic variables in oligodendroglial tumors: A single-institution study of 95 cases","volume":"13","author":"Scheie","year":"2011","journal-title":"Neuro-Oncology"},{"issue":"3","key":"2022020823375928800_fcab289-B51","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1016\/j.cell.2015.12.028","article-title":"Molecular profiling reveals biologically discrete subsets and pathways of progression in diffuse glioma","volume":"164","author":"Ceccarelli","year":"2016","journal-title":"Cell"},{"issue":"7775","key":"2022020823375928800_fcab289-B52","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1038\/s41586-019-1563-y","article-title":"Electrical and synaptic integration of glioma into neural circuits","volume":"573","author":"Venkatesh","year":"2019","journal-title":"Nature"},{"issue":"2","key":"2022020823375928800_fcab289-B53","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1007\/s11060-008-9609-2","article-title":"Relationship of glioblastoma multiforme to the lateral ventricles predicts survival following tumor resection","volume":"89","author":"Chaichana","year":"2008","journal-title":"J Neuro-Oncol"},{"issue":"1","key":"2022020823375928800_fcab289-B54","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1093\/neuonc\/nos268","article-title":"Relationship of glioblastoma multiforme to the subventricular zone is associated with survival","volume":"15","author":"Jafri","year":"2013","journal-title":"Neuro-Oncology"},{"issue":"1","key":"2022020823375928800_fcab289-B55","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/s11060-016-2278-7","article-title":"Influence of glioblastoma contact with the lateral ventricle on survival: A meta-analysis","volume":"131","author":"Mistry","year":"2017","journal-title":"J Neuro-Oncol"},{"issue":"2","key":"2022020823375928800_fcab289-B56","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/s11060-017-2374-3","article-title":"Decreased survival in glioblastomas is specific to contact with the ventricular-subventricular zone, not subgranular zone or corpus callosum","volume":"132","author":"Mistry","year":"2017","journal-title":"J Neuro-Oncol"},{"key":"2022020823375928800_fcab289-B57","doi-asserted-by":"crossref","first-page":"886","DOI":"10.1016\/j.ijrobp.2014.07.027","article-title":"Glioblastoma recurrence patterns after radiation therapy with regard to the subventricular zone","volume":"90","author":"Adeberg","year":"2014","journal-title":"Int J Radiation Oncol Biol Phys"},{"issue":"2","key":"2022020823375928800_fcab289-B58","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.radonc.2015.07.032","article-title":"Glioblastoma recurrence patterns near neural stem cell regions","volume":"116","author":"Chen","year":"2015","journal-title":"Radiother Oncol"},{"issue":"4","key":"2022020823375928800_fcab289-B59","doi-asserted-by":"crossref","first-page":"448","DOI":"10.3390\/cancers11040448","article-title":"The role of svz stem cells in glioblastoma","volume":"11","author":"Altmann","year":"2019","journal-title":"Cancers"},{"issue":"1","key":"2022020823375928800_fcab289-B60","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1007\/s11910-014-0506-0","article-title":"Radiogenomics and imaging phenotypes in glioblastoma: Novel observations and correlation with molecular characteristics","volume":"15","author":"Ellingson","year":"2015","journal-title":"Curr Neurol Neurosci Rep"},{"issue":"1","key":"2022020823375928800_fcab289-B61","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1002\/jmri.26907","article-title":"Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review","volume":"52","author":"Fathi Kazerooni","year":"2020","journal-title":"J Magn Reson Imaging"},{"key":"2022020823375928800_fcab289-B62","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.nicl.2016.03.007","article-title":"Population-based MRI atlases of spatial distribution are specific to patient and tumor characteristics in glioblastoma","volume":"12","author":"Bilello","year":"2016","journal-title":"NeuroImage: Clin"},{"issue":"2","key":"2022020823375928800_fcab289-B63","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1111\/ene.12578","article-title":"Anatomical localization of isocitrate dehydrogenase 1 mutation: A voxel-based radiographic study of 146 low-grade gliomas","volume":"22","author":"Wang","year":"2015","journal-title":"Eur J Neurol"},{"issue":"11","key":"2022020823375928800_fcab289-B64","doi-asserted-by":"crossref","first-page":"1517","DOI":"10.1093\/neuonc\/noy134","article-title":"Voxel-wise radiogenomic mapping of tumor location with key molecular alterations in patients with glioma","volume":"20","author":"Tejada Neyra","year":"2018","journal-title":"Neuro-Oncology"},{"key":"2022020823375928800_fcab289-B65","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.neuropsychologia.2017.08.025","article-title":"Corrections for multiple comparisons in voxel-based lesion-symptom mapping","volume":"115","author":"Mirman","year":"2018","journal-title":"Neuropsychologia"},{"issue":"18","key":"2022020823375928800_fcab289-B66","first-page":"6713","article-title":"Tumor location and growth pattern correlate with genetic signature in oligodendroglial neoplasms","volume":"61","author":"Zlatescu","year":"2001","journal-title":"Cancer Res"},{"issue":"39","key":"2022020823375928800_fcab289-B67","doi-asserted-by":"crossref","first-page":"14217","DOI":"10.1073\/pnas.1409653111","article-title":"Hominoid-specific enzyme GLUD2 promotes growth of IDH1R132Hglioma","volume":"111","author":"Chen","year":"2014","journal-title":"Proc Natl Acad Sci USA"},{"issue":"1","key":"2022020823375928800_fcab289-B68","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1158\/0008-5472.CAN-17-1352","article-title":"Adaptive evolution of the GDH2 allosteric domain promotes gliomagenesis by resolving IDH1R132H-induced metabolic liabilities","volume":"78","author":"Waitkus","year":"2018","journal-title":"Cancer Res"},{"issue":"3421","key":"2022020823375928800_fcab289-B69","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1016\/S0140-6736(00)49915-0","article-title":"The distribution of secondary growths in cancer of the breast","volume":"133","author":"Paget","year":"1889","journal-title":"The Lancet"},{"issue":"11","key":"2022020823375928800_fcab289-B70","doi-asserted-by":"crossref","first-page":"2527","DOI":"10.1002\/ijc.26031","article-title":"The seed and soil hypothesis revisited - the role of tumor-stroma interactions in metastasis to different organs","volume":"128","author":"Langley","year":"2011","journal-title":"Int J Cancer"},{"issue":"2","key":"2022020823375928800_fcab289-B71","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1136\/jnnp.3.2.147","article-title":"A critical review: The pathology of cerebral gliomas","volume":"3","author":"Scherer","year":"1940","journal-title":"J Neurol, Neurosurg Psychiatr"},{"issue":"3","key":"2022020823375928800_fcab289-B72","first-page":"333","article-title":"Structural development in gliomas","volume":"34","author":"Scherer","year":"1938","journal-title":"Am J Cancer"},{"issue":"7775","key":"2022020823375928800_fcab289-B73","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1038\/s41586-019-1563-y","article-title":"Electrical and synaptic integration of glioma into neural circuits","volume":"573","author":"Venkatesh","year":"2019","journal-title":"Nature"},{"issue":"2","key":"2022020823375928800_fcab289-B74","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.trecan.2016.12.008","article-title":"Neuronal activity in ontogeny and oncology","volume":"3","author":"Venkatesh","year":"2017","journal-title":"Trends Cancer."},{"issue":"1","key":"2022020823375928800_fcab289-B75","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/brain\/63.1.1","article-title":"The forms of growth in gliomas and their practical significance","volume":"63","author":"Scherer","year":"1940","journal-title":"Brain"},{"key":"2022020823375928800_fcab289-B76","doi-asserted-by":"crossref","DOI":"10.1101\/2021.02.18.431915","article-title":"Glioblastoma remodeling of neural circuits in the human brain decreases survival","author":"Krishna","year":"2021."},{"issue":"13","key":"2022020823375928800_fcab289-B77","doi-asserted-by":"crossref","first-page":"4858","DOI":"10.1523\/JNEUROSCI.3825-10.2011","article-title":"Bradykinin promotes the chemotactic invasion of primary brain tumors","volume":"31","author":"Montana","year":"2011","journal-title":"J Neurosci"},{"key":"2022020823375928800_fcab289-B78","doi-asserted-by":"crossref","first-page":"116907","DOI":"10.1016\/j.neuroimage.2020.116907","article-title":"Vascular physiology drives functional brain networks","volume":"217","author":"Bright","year":"2020","journal-title":"NeuroImage"},{"issue":"3","key":"2022020823375928800_fcab289-B79","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1016\/j.neuron.2011.07.013","article-title":"The neurovascular link in health and disease: Molecular mechanisms and therapeutic implications","volume":"71","author":"Quaegebeur","year":"2011","journal-title":"Neuron"},{"issue":"2","key":"2022020823375928800_fcab289-B80","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.neuron.2015.06.038","article-title":"Wiring the vascular network with neural cues: A CNS perspective","volume":"87","author":"W\u00e4lchli","year":"2015","journal-title":"Neuron"}],"container-title":["Brain Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/braincomms\/advance-article-pdf\/doi\/10.1093\/braincomms\/fcab289\/41512912\/fcab289.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/braincomms\/article-pdf\/3\/4\/fcab289\/42386150\/fcab289.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/braincomms\/article-pdf\/3\/4\/fcab289\/42386150\/fcab289.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,8]],"date-time":"2022-02-08T18:45:00Z","timestamp":1644345900000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/braincomms\/article\/doi\/10.1093\/braincomms\/fcab289\/6449439"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,1]]},"references-count":80,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,10,1]]}},"URL":"https:\/\/doi.org\/10.1093\/braincomms\/fcab289","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2021.04.09.21255209","asserted-by":"object"}]},"ISSN":["2632-1297"],"issn-type":[{"value":"2632-1297","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2021,10,1]]},"published":{"date-parts":[[2021,10,1]]},"article-number":"fcab289"}}