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Ek L, Elwin M, Neander K. Neuropsychological longitudinal study of patients with low-grade gliomas: Cognitive impairment. APPLIED NEUROPSYCHOLOGY. ADULT 2024:1-11. [PMID: 38470840 DOI: 10.1080/23279095.2024.2325546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
This study is part of a longitudinal research program, in which patients diagnosed with low-grade gliomas (LGG: n = 13), as well as healthy controls (n = 13), were consecutively recruited and neuropsychologically followed for 7 years. The patients are followed up regardless of variations in treatment. A composite score is used (Global Deficit Score: GDS) included cognitive measures where at least five patients had a negative change: information processing speed, speed of naming, construction ability, verbal fluency, non-verbal thinking, and immediate non-verbal memory. The most important finding in this 7-year follow-up study is that two-thirds of the patients developed cognitive impairment. The remaining third of the patients showed stability in their cognitive ability and were still alive 17 years after diagnosis. Younger patients with tumors in the right frontal or posterior regions showed a more favorable development. Patients with frontal tumors and a declined GDS show also significant changes in executive functions. Given the limited number, no firm conclusions can be drawn regarding the impact of tumor localization. The impact of LGG on cognition and the survival time after diagnosis varies considerably between patients. However, most of the patients (69%) showed cognitive impairment during the seven years we followed them.
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Affiliation(s)
- Lena Ek
- Department of Rehabilitation, Hässleholm Hospital, Hässleholm, Sweden
| | - Marie Elwin
- Faculty of Medicine and Health, University Health Care Research Centre, Örebro University, Örebro, Sweden
| | - Kerstin Neander
- Faculty of Medicine and Health, University Health Care Research Centre, Örebro University, Örebro, Sweden
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2
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Barberis M, Poisson I, Prévost-Tarabon C, Letrange S, Froelich S, Thirion B, Mandonnet E. Verbal fluency predicts work resumption after awake surgery in low-grade glioma patients. Acta Neurochir (Wien) 2024; 166:88. [PMID: 38372820 DOI: 10.1007/s00701-024-05971-w] [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: 10/03/2023] [Accepted: 01/25/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Resuming professional activity after awake surgery for diffuse low-grade glioma (DLGG) is an important goal, which is not reached in every patient. Cognitive deficits can occur and persist after surgery. In this study, we analyzed the impact of mild cognitive impairments on the work resumption. METHODS Fifty-four surgeries (including five redo surgeries) performed between 2012 and 2020 for grade 2 (45) and 3 (nine) DLGG in 49 professionally active patients (mean age 40 [range 23-58.) were included. We retrospectively extracted the results of semantic and phonemic verbal fluency tests from preoperative and 4-month postoperative cognitive assessments. Patients were interviewed about their working life after surgery, between April and June 2021. RESULTS Patients (85%) returned to work, most within 3 to 6 months. Patients (76%) reported subjective complaints (primarily fatigue). Self-reported symptoms and individual and clinical variables had no impact on the work resumption. Late-postoperative average Z-scores in verbal fluency tasks were significantly lower than preoperative for the entire cohort (Wilcoxon test, p < 0.001 for semantic and p = 0.008 for phonemic fluency). The decrease in Z-scores was significantly greater (Mann Whitney U-test, semantic, p = 0.018; phonemic, p = 0.004) in the group of patients who did not return to work than in the group of patients who did. CONCLUSION The proportion of patients returning to work was comparable to similar studies. A decrease in verbal fluency tasks could predict the inability to return to work.
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Affiliation(s)
- Marion Barberis
- Neurosurgery Unit, Hôpital Lariboisière, AP-HP, 75010, Paris, France.
- UMR 7225, Frontlab, Paris Brain Institute, CNRS, INSERM U1127, 75013, Paris, France.
| | - Isabelle Poisson
- Neurosurgery Unit, Hôpital Lariboisière, AP-HP, 75010, Paris, France
| | | | - Sophie Letrange
- Neurosurgery Unit, Hôpital Lariboisière, AP-HP, 75010, Paris, France
| | - Sébastien Froelich
- Neurosurgery Unit, Hôpital Lariboisière, AP-HP, 75010, Paris, France
- Université de Paris Cité, 75010, Paris, France
| | | | - Emmanuel Mandonnet
- Neurosurgery Unit, Hôpital Lariboisière, AP-HP, 75010, Paris, France
- Université de Paris Cité, 75010, Paris, France
- UMR 7225, Frontlab, Paris Brain Institute, CNRS, INSERM U1127, 75013, Paris, France
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3
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Zhang K, Yang T, Xia Y, Guo X, Chen W, Wang L, Li J, Wu J, Xiao Z, Zhang X, Jiang W, Xu D, Guo S, Wang Y, Shi Y, Liu D, Li Y, Wang Y, Xing H, Liang T, Niu P, Wang H, Liu Q, Jin S, Qu T, Li H, Zhang Y, Ma W, Wang Y. Molecular Determinants of Neurocognitive Deficits in Glioma: Based on 2021 WHO Classification. J Mol Neurosci 2024; 74:17. [PMID: 38315329 PMCID: PMC10844410 DOI: 10.1007/s12031-023-02173-4] [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: 10/23/2023] [Accepted: 12/05/2023] [Indexed: 02/07/2024]
Abstract
Cognitive impairment is a common feature among patients with diffuse glioma. The objective of the study is to investigate the relationship between preoperative cognitive function and clinical as well as molecular factors, firstly based on the new 2021 World Health Organization's updated classification of central nervous system tumors. A total of 110 diffuse glioma patients enrolled underwent preoperative cognitive assessments using the Mini-Mental State Examination and Montreal Cognitive Assessment. Clinical information was collected from medical records, and gene sequencing was performed to analyze the 18 most influenced genes. The differences in cognitive function between patients with and without glioblastoma were compared under both the 2016 and 2021 WHO classification of tumors of the central nervous system to assess their effect of differentiation on cognition. The study found that age, tumor location, and glioblastoma had significant differences in cognitive function. Several genetic alterations were significantly correlated with cognition. Especially, IDH, CIC, and ATRX are positively correlated with several cognitive domains, while most other genes are negatively correlated. For most focused genes, patients with a low number of genetic alterations tended to have better cognitive function. Our study suggested that, in addition to clinical characteristics such as age, histological type, and tumor location, molecular characteristics play a crucial role in cognitive function. Further research into the mechanisms by which tumors affect brain function is expected to enhance the quality of life for glioma patients. This study highlights the importance of considering both clinical and molecular factors in the management of glioma patients to improve cognitive outcomes.
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Affiliation(s)
- Kun Zhang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Tianrui Yang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Yu Xia
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Xiaopeng Guo
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Wenlin Chen
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Lijun Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Junlin Li
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Jiaming Wu
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Zhiyuan Xiao
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Xin Zhang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Wenwen Jiang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Dongrui Xu
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Siying Guo
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
- School of Medicine, Tsinghua University, Beijing, 100730, China
| | - Yaning Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Yixin Shi
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Delin Liu
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Yilin Li
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Yuekun Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Hao Xing
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Tingyu Liang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Pei Niu
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Hai Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Qianshu Liu
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Shanmu Jin
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Tian Qu
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Huanzhang Li
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Yi Zhang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Wenbin Ma
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Yu Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
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Nieberlein L, Rampp S, Gussew A, Prell J, Hartwigsen G. Reorganization and Plasticity of the Language Network in Patients with Cerebral Gliomas. Neuroimage Clin 2023; 37:103326. [PMID: 36736198 PMCID: PMC9926312 DOI: 10.1016/j.nicl.2023.103326] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 12/15/2022] [Accepted: 01/16/2023] [Indexed: 01/19/2023]
Abstract
Language is organized in large-scale networks in the human brain that show a strong potential for flexible interactions and adaptation. Neuroplasticity is the central mechanism that allows such dynamic modulation to changing conditions across the life span and is particularly important for network reorganization after brain lesions. Most studies on language reorganization focused on language recovery after stroke. Yet, a strong degree of adaptive neuroplasticity can also be observed in patients with brain tumors in language-eloquent brain areas. This review discusses key mechanisms for neural reorganization in patients with brain tumors. Our main aim is to elucidate the underlying mechanisms for intra- and interhemispheric plasticity in the language network in these patients. The following reorganization patterns are discussed: 1) Persisting function within the tumor; 2) Reorganization in perilesional regions; 3) Reorganization in a distributed network of the affected hemisphere; 4) Reorganization to the contralesional hemisphere. In this context, we shed light on language-related reorganization patterns in frontal and temporo-parietal areas and discuss their functional relevance. We also address tumor-related changes in structural and functional connectivity between eloquent brain regions. Thereby, we aim to expand the general understanding of the plastic potential of the neural language network and facilitate clinical decision-making processes for effective, function-preserving tumor treatment.
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Affiliation(s)
- Laura Nieberlein
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
| | - Stefan Rampp
- Department of Neurosurgery, University Hospital Halle (Saale), Germany; Department of Neurosurgery, University Hospital Erlangen, Germany
| | - Alexander Gussew
- Department of Medical Physics, University Hospital Halle (Saale), Germany
| | - Julian Prell
- Department of Neurosurgery, University Hospital Halle (Saale), Germany
| | - Gesa Hartwigsen
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Wilhelm Wundt Institute for Psychology, Leipzig University, Germany
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5
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Latini F, Jakola A, Rudà R. Editorial: Investigating the gliomas/white matter interplay and its implications for multidisciplinary treatment: State of art and future perspectives. Front Neurosci 2022; 16:1100972. [PMID: 36570851 PMCID: PMC9775286 DOI: 10.3389/fnins.2022.1100972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 11/23/2022] [Indexed: 12/13/2022] Open
Affiliation(s)
- Francesco Latini
- Section of Neurosurgery, Department of Medical Sciences, Uppsala University, Uppsala, Sweden,*Correspondence: Francesco Latini
| | - Asgeir Jakola
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience “Rita Levi Montalcini”, University of Turin, Turin, Italy
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Krishna S, Hervey-Jumper SL. Neural Regulation of Cancer: Cancer-Induced Remodeling of the Central Nervous System. Adv Biol (Weinh) 2022; 6:e2200047. [PMID: 35802914 PMCID: PMC10182823 DOI: 10.1002/adbi.202200047] [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: 02/28/2022] [Revised: 06/01/2022] [Indexed: 01/28/2023]
Abstract
In recent years, there have been significant advances in understanding the neuronal influence on the biology of solid tumors such as prostate, pancreatic, gastric, and brain cancers. An increasing amount of experimental evidence across multiple tumor types strongly suggests the existence of bidirectional crosstalk between cancer cells and the neural microenvironment. However, unlike cancers affecting many solid organs, brain tumors, namely gliomas, can synaptically integrate into neural circuits and thus can exert a greater potential to induce dynamic remodeling of functional circuits resulting in long-lasting behavioral changes. The first part of the review describes dynamic changes in language, sensory, and motor networks following glioma development and presents evidence focused on how different patterns of glioma-induced cortical reorganization may predict the degree and time course of functional recovery in brain tumor patients. The second part focuses on the network and cellular-level mechanisms underlying glioma-induced cerebral reorganization. Finally, oncological and clinical factors influencing glioma-induced network remodeling in glioma patients are reviewed.
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Affiliation(s)
- Saritha Krishna
- Department of Neurological Surgery, University of California, San Francisco, CA, 94143, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, CA, 94143, USA.,Weill Neurosciences Institute, University of California, San Francisco, CA, 94143, USA.,Helen Diller Comprehensive Cancer Center, University of California, San Francisco, CA, 94143, USA
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7
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Latini F, Fahlström M, Beháňová A, Sintorn IM, Hodik M, Staxäng K, Ryttlefors M. The link between gliomas infiltration and white matter architecture investigated with electron microscopy and diffusion tensor imaging. NEUROIMAGE-CLINICAL 2021; 31:102735. [PMID: 34247117 PMCID: PMC8274339 DOI: 10.1016/j.nicl.2021.102735] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/23/2021] [Accepted: 06/15/2021] [Indexed: 11/21/2022]
Abstract
Possible favorable factors for glioma infiltration were investigated with MRI, TEM and DTI analysis. The infiltration of white matter bundles (WMB) displayed regional differences in three gliomaś subgroups. Regional differences within the same WMB were detected by morphological (TEM) and DTI analysis. HIF regions, common to all gliomas subgroups, displayed a smaller fiber diameter, lower FA and higher RD. Morphological features and diffusion parameters of the VMB may be linked to preferential locations of gliomas.
Diffuse low-grade gliomas (DLGG) display different preferential locations in eloquent and secondary associative brain areas. The reason for this tendency is still unknown. We hypothesized that the intrinsic architecture and water diffusion properties of the white matter bundles in these regions may facilitate gliomas infiltration. Magnetic resonance imaging of sixty-seven diffuse low-grade gliomas patients were normalized to/and segmented in MNI space to create three probabilistic infiltration weighted gradient maps according to the molecular status of each tumor group (IDH mutated, IDH wild-type and IDH mutated/1p19q co-deleted). Diffusion tensor imaging (DTI)- based parameters were derived for five major white matter bundles, displaying regional differences in the grade of infiltration, averaged over 20 healthy individuals acquired from the Human connectome project (HCP) database. Transmission electron microscopy (TEM) was used to analyze fiber density, fiber diameter and g-ratio in 100 human white matter regions, sampled from cadaver specimens, reflecting areas with different gliomas infiltration in each white matter bundle. Histological results and DTI-based parameters were compared in anatomical regions of high- and low grade of infiltration (HIF and LIF) respectively. We detected differences in the white matter infiltration of five major white matter bundles in three groups. Astrocytomas IDHm infiltrated left fronto-temporal subcortical areas. Astrocytomas IDHwt were detected in the posterior-temporal and temporo-parietal regions bilaterally. Oligodendrogliomas IDHm/1p19q infiltrated anterior subcortical regions of the frontal lobes bilaterally. Regional differences within the same white matter bundles were detected by both TEM- and DTI analysis linked to different topographical variables. Our multimodal analysis showed that HIF regions, common to all the groups, displayed a smaller fiber diameter, lower FA and higher RD compared with LIF regions. Our results suggest that the both morphological features and diffusion parameters of the white matter may be different in regions linked to the preferential location of DLGG.
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Affiliation(s)
- Francesco Latini
- Department of Neuroscience, Neurosurgery, Uppsala University, Uppsala, Sweden.
| | - Markus Fahlström
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
| | - Andrea Beháňová
- Department of Information Technology, Uppsala University, Uppsala, Sweden
| | - Ida-Maria Sintorn
- Department of Information Technology, Uppsala University, Uppsala, Sweden
| | - Monika Hodik
- Immunology, Genetics and Pathology - Biovis Platform, Uppsala University, Uppsala, Sweden
| | - Karin Staxäng
- Immunology, Genetics and Pathology - Biovis Platform, Uppsala University, Uppsala, Sweden
| | - Mats Ryttlefors
- Department of Neuroscience, Neurosurgery, Uppsala University, Uppsala, Sweden
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8
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Latini F, Axelson H, Fahlström M, Jemstedt M, Alberius Munkhammar Å, Zetterling M, Ryttlefors M. Role of Preoperative Assessment in Predicting Tumor-Induced Plasticity in Patients with Diffuse Gliomas. J Clin Med 2021; 10:jcm10051108. [PMID: 33799925 PMCID: PMC7961995 DOI: 10.3390/jcm10051108] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 02/28/2021] [Accepted: 03/01/2021] [Indexed: 01/03/2023] Open
Abstract
When diffuse gliomas (DG) affect the brain’s potential to reorganize functional networks, patients can exhibit seizures and/or language/cognitive impairment. The tumor–brain interaction and the individual connectomic organization cannot be predicted preoperatively. We aimed to, first, investigate the relationship between preoperative assessment and intraoperative findings of eloquent tumors in 36 DG operated with awake surgery. Second, we also studied possible mechanisms of tumor-induced brain reorganization in these patients. FLAIR-MRI sequences were used for tumor volume segmentation and the Brain-Grid system (BG) was used as an overlay for infiltration analysis. Neuropsychological (NPS) and/or language assessments were performed in all patients. The distance between eloquent spots and tumor margins was measured. All variables were used for correlation and logistic regression analyses. Eloquent tumors were detected in 75% of the patients with no single variable able to predict this finding. Impaired NPS functions correlated with invasive tumors, crucial location (A4C2S2/A3C2S2-voxels, left opercular-insular/sub-insular region) and higher risk of eloquent tumors. Epilepsy was correlated with larger tumor volumes and infiltrated A4C2S2/A3C2S2 voxels. Language impairment was correlated with infiltrated A3C2S2 voxel. Peritumoral cortical eloquent spots reflected an early compensative mechanism with age as possible influencing factor. Preoperative NPS impairment is linked with high risk of eloquent tumors. A systematic integration of extensive cognitive assessment and advanced neuroimaging can improve our comprehension of the connectomic brain organization at the individual scale and lead to a better oncological/functional balance.
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Affiliation(s)
- Francesco Latini
- Section of Neurosurgery, Department of Neuroscience, Uppsala University, 75185 Uppsala, Sweden; (M.Z.); (M.R.)
- Correspondence: ; Tel.: +46-764-244-653
| | - Hans Axelson
- Section of Clinical Neurophysiology, Department of Neuroscience, Uppsala University, 75185 Uppsala, Sweden;
| | - Markus Fahlström
- Section of Radiology, Department of Surgical Sciences, Uppsala University, 75185 Uppsala, Sweden;
| | - Malin Jemstedt
- Department of Neuroscience, Speech-Language Pathology, Uppsala University, 75185 Uppsala, Sweden;
| | | | - Maria Zetterling
- Section of Neurosurgery, Department of Neuroscience, Uppsala University, 75185 Uppsala, Sweden; (M.Z.); (M.R.)
| | - Mats Ryttlefors
- Section of Neurosurgery, Department of Neuroscience, Uppsala University, 75185 Uppsala, Sweden; (M.Z.); (M.R.)
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Krishna S, Kakaizada S, Almeida N, Brang D, Hervey-Jumper S. Central Nervous System Plasticity Influences Language and Cognitive Recovery in Adult Glioma. Neurosurgery 2021; 89:539-548. [PMID: 33476391 DOI: 10.1093/neuros/nyaa456] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 08/05/2020] [Indexed: 01/01/2023] Open
Abstract
Gliomas exist within the framework of complex neuronal circuitry in which network dynamics influence both tumor biology and cognition. The generalized impairment of cognition or loss of language function is a common occurrence for glioma patients. The interface between intrinsic brain tumors such as gliomas and functional cognitive networks are poorly understood. The ability to communicate effectively is critically important for receiving oncological therapies and maintaining a high quality of life. Although the propensity of gliomas to infiltrate cortical and subcortical structures and disrupt key anatomic language pathways is well documented, there is new evidence offering insight into the network and cellular mechanisms underpinning glioma-related aphasia and aphasia recovery. In this review, we will outline the current understanding of the mechanisms of cognitive dysfunction and recovery, using aphasia as an illustrative model.
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Affiliation(s)
- Saritha Krishna
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Sofia Kakaizada
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - Nyle Almeida
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
| | - David Brang
- Department of Psychology, University of Michigan, Ann Arbor, Michigan
| | - Shawn Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California
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10
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Cargnelutti E, Ius T, Skrap M, Tomasino B. What do we know about pre- and postoperative plasticity in patients with glioma? A review of neuroimaging and intraoperative mapping studies. NEUROIMAGE-CLINICAL 2020; 28:102435. [PMID: 32980599 PMCID: PMC7522801 DOI: 10.1016/j.nicl.2020.102435] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 09/08/2020] [Accepted: 09/11/2020] [Indexed: 02/06/2023]
Abstract
Brain reorganization can take place before and after surgery of low- and high-grade gliomas. Plasticity is observed for low-grade but also for high-grade gliomas. The contralesional hemisphere can be vital for successful compensation. There is evidence of plasticity for both the language system and the sensorimotor system. Partial compensation can also occur at the white-matter level. Subcortical connectivity is crucial for brain reorganization.
Brain plasticity potential is a central theme in neuro-oncology and is currently receiving increased attention. Advances in treatment have prolonged life expectancy in neuro-oncological patients and the long-term preservation of their quality of life is, therefore, a new challenge. To this end, a better understanding of brain plasticity mechanisms is vital as it can help prevent permanent deficits following neurosurgery. Indeed, reorganization processes can be fundamental to prevent or recover neurological and cognitive deficits by reallocating brain functions outside the lesioned areas. According to more recent studies in the literature, brain reorganization taking place following neurosurgery is associated with good neurofunctioning at follow-up. Interestingly, in the last few years, the number of reports on plasticity has notably increased. Aim of the current review was to provide a comprehensive overview of pre- and postoperative neuroplasticity patterns. Within this framework, we aimed to shed light on some tricky issues, including i) involvement of the contralateral healthy hemisphere, ii) role and potential changes of white matter and connectivity patterns, and iii) reorganization in low- versus high-grade gliomas. We finally discussed the practical implications of these aspects and role of additional potentially relevant factors to be explored. Final purpose was to provide a guideline helpful in promoting increase in the extent of tumor resection while preserving the patients’ neurological and cognitive functioning.
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Affiliation(s)
- Elisa Cargnelutti
- Scientific Institute, IRCCS E. Medea, Dipartimento/Unità Operativa Pasian di Prato, Udine, Italy
| | - Tamara Ius
- SOC Neurochirurgia, Azienda Sanitaria Universitaria Friuli Centrale ASU FC, Italy
| | - Miran Skrap
- SOC Neurochirurgia, Azienda Sanitaria Universitaria Friuli Centrale ASU FC, Italy
| | - Barbara Tomasino
- Scientific Institute, IRCCS E. Medea, Dipartimento/Unità Operativa Pasian di Prato, Udine, Italy.
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11
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Rydén I, Carstam L, Gulati S, Smits A, Sunnerhagen KS, Hellström P, Henriksson R, Bartek J, Salvesen Ø, Jakola AS. Return to work following diagnosis of low-grade glioma: A nationwide matched cohort study. Neurology 2020; 95:e856-e866. [PMID: 32540938 PMCID: PMC7605502 DOI: 10.1212/wnl.0000000000009982] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 01/27/2020] [Indexed: 01/11/2023] Open
Abstract
Objective Return-to-work (RTW) following diagnosis of infiltrative low-grade gliomas is unknown. Methods Swedish patients with histopathologic verified WHO grade II diffuse glioma diagnosed between 2005 and 2015 were included. Data were acquired from several Swedish registries. A total of 381 patients aged 18–60 were eligible. A matched control population (n = 1,900) was acquired. Individual data on sick leave, compensations, comorbidity, and treatments assigned were assessed. Predictors were explored using multivariable logistic regression. Results One year before surgery/index date, 88% of cases were working, compared to 91% of controls. The proportion of controls working remained constant, while patients had a rapid increase in sick leave approximately 6 months prior to surgery. After 1 and 2 years, respectively, 52% and 63% of the patients were working. Predictors for no RTW after 1 year were previous sick leave (odds ratio [OR] 0.92, 95% confidence interval [CI] 0.88–0.96, p < 0.001), older age (OR 0.96, 95% CI 0.94–0.99, p = 0.005), and lower functional level (OR 0.64 95% CI, 0.45–0.91 p = 0.01). Patients receiving adjuvant treatment were less likely to RTW within the first year. At 2 years, biopsy (as opposed to resection), female sex, and comorbidity were also unfavorable, while age and adjuvant treatment were no longer significant. Conclusions Approximately half of patients RTW within the first year. Lower functional status, previous sick leave, older age, and adjuvant treatment were risk factors for no RTW at 1 year after surgery. Female sex, comorbidity, and biopsy only were also unfavorable for RTW at 2 years.
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Affiliation(s)
- Isabelle Rydén
- From the Section of Clinical Neuroscience, Institute of Neuroscience and Physiology (I.R., L.C., A.S., K.S.S., P.H., A.S.J.), University of Gothenburg, Sahlgrenska Academy; Departments of Neurology (I.R., A.S., P.H.) and Neurosurgery (L.C., A.S.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurosurgery (S.G., A.S.J.), St. Olavs University Hospital HF; Institute of Neuroscience (S.G.) and Department of Public Health and Nursing (Ø.S.), Norwegian University of Science and Technology, Trondheim, Norway; Department of Neuroscience (A.S.), Uppsala University; Department of Radiation Sciences & Oncology (R.H.), University of Umeå; Department of Neurosurgery (J.B.), Karolinska University Hospital; Departments of Neuroscience and Medicine (J.B.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurosurgery (J.B.), Copenhagen University Hospital Rigshospitalet, Denmark
| | - Louise Carstam
- From the Section of Clinical Neuroscience, Institute of Neuroscience and Physiology (I.R., L.C., A.S., K.S.S., P.H., A.S.J.), University of Gothenburg, Sahlgrenska Academy; Departments of Neurology (I.R., A.S., P.H.) and Neurosurgery (L.C., A.S.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurosurgery (S.G., A.S.J.), St. Olavs University Hospital HF; Institute of Neuroscience (S.G.) and Department of Public Health and Nursing (Ø.S.), Norwegian University of Science and Technology, Trondheim, Norway; Department of Neuroscience (A.S.), Uppsala University; Department of Radiation Sciences & Oncology (R.H.), University of Umeå; Department of Neurosurgery (J.B.), Karolinska University Hospital; Departments of Neuroscience and Medicine (J.B.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurosurgery (J.B.), Copenhagen University Hospital Rigshospitalet, Denmark
| | - Sasha Gulati
- From the Section of Clinical Neuroscience, Institute of Neuroscience and Physiology (I.R., L.C., A.S., K.S.S., P.H., A.S.J.), University of Gothenburg, Sahlgrenska Academy; Departments of Neurology (I.R., A.S., P.H.) and Neurosurgery (L.C., A.S.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurosurgery (S.G., A.S.J.), St. Olavs University Hospital HF; Institute of Neuroscience (S.G.) and Department of Public Health and Nursing (Ø.S.), Norwegian University of Science and Technology, Trondheim, Norway; Department of Neuroscience (A.S.), Uppsala University; Department of Radiation Sciences & Oncology (R.H.), University of Umeå; Department of Neurosurgery (J.B.), Karolinska University Hospital; Departments of Neuroscience and Medicine (J.B.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurosurgery (J.B.), Copenhagen University Hospital Rigshospitalet, Denmark
| | - Anja Smits
- From the Section of Clinical Neuroscience, Institute of Neuroscience and Physiology (I.R., L.C., A.S., K.S.S., P.H., A.S.J.), University of Gothenburg, Sahlgrenska Academy; Departments of Neurology (I.R., A.S., P.H.) and Neurosurgery (L.C., A.S.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurosurgery (S.G., A.S.J.), St. Olavs University Hospital HF; Institute of Neuroscience (S.G.) and Department of Public Health and Nursing (Ø.S.), Norwegian University of Science and Technology, Trondheim, Norway; Department of Neuroscience (A.S.), Uppsala University; Department of Radiation Sciences & Oncology (R.H.), University of Umeå; Department of Neurosurgery (J.B.), Karolinska University Hospital; Departments of Neuroscience and Medicine (J.B.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurosurgery (J.B.), Copenhagen University Hospital Rigshospitalet, Denmark
| | - Katharina S Sunnerhagen
- From the Section of Clinical Neuroscience, Institute of Neuroscience and Physiology (I.R., L.C., A.S., K.S.S., P.H., A.S.J.), University of Gothenburg, Sahlgrenska Academy; Departments of Neurology (I.R., A.S., P.H.) and Neurosurgery (L.C., A.S.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurosurgery (S.G., A.S.J.), St. Olavs University Hospital HF; Institute of Neuroscience (S.G.) and Department of Public Health and Nursing (Ø.S.), Norwegian University of Science and Technology, Trondheim, Norway; Department of Neuroscience (A.S.), Uppsala University; Department of Radiation Sciences & Oncology (R.H.), University of Umeå; Department of Neurosurgery (J.B.), Karolinska University Hospital; Departments of Neuroscience and Medicine (J.B.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurosurgery (J.B.), Copenhagen University Hospital Rigshospitalet, Denmark
| | - Per Hellström
- From the Section of Clinical Neuroscience, Institute of Neuroscience and Physiology (I.R., L.C., A.S., K.S.S., P.H., A.S.J.), University of Gothenburg, Sahlgrenska Academy; Departments of Neurology (I.R., A.S., P.H.) and Neurosurgery (L.C., A.S.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurosurgery (S.G., A.S.J.), St. Olavs University Hospital HF; Institute of Neuroscience (S.G.) and Department of Public Health and Nursing (Ø.S.), Norwegian University of Science and Technology, Trondheim, Norway; Department of Neuroscience (A.S.), Uppsala University; Department of Radiation Sciences & Oncology (R.H.), University of Umeå; Department of Neurosurgery (J.B.), Karolinska University Hospital; Departments of Neuroscience and Medicine (J.B.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurosurgery (J.B.), Copenhagen University Hospital Rigshospitalet, Denmark
| | - Roger Henriksson
- From the Section of Clinical Neuroscience, Institute of Neuroscience and Physiology (I.R., L.C., A.S., K.S.S., P.H., A.S.J.), University of Gothenburg, Sahlgrenska Academy; Departments of Neurology (I.R., A.S., P.H.) and Neurosurgery (L.C., A.S.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurosurgery (S.G., A.S.J.), St. Olavs University Hospital HF; Institute of Neuroscience (S.G.) and Department of Public Health and Nursing (Ø.S.), Norwegian University of Science and Technology, Trondheim, Norway; Department of Neuroscience (A.S.), Uppsala University; Department of Radiation Sciences & Oncology (R.H.), University of Umeå; Department of Neurosurgery (J.B.), Karolinska University Hospital; Departments of Neuroscience and Medicine (J.B.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurosurgery (J.B.), Copenhagen University Hospital Rigshospitalet, Denmark
| | - Jiri Bartek
- From the Section of Clinical Neuroscience, Institute of Neuroscience and Physiology (I.R., L.C., A.S., K.S.S., P.H., A.S.J.), University of Gothenburg, Sahlgrenska Academy; Departments of Neurology (I.R., A.S., P.H.) and Neurosurgery (L.C., A.S.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurosurgery (S.G., A.S.J.), St. Olavs University Hospital HF; Institute of Neuroscience (S.G.) and Department of Public Health and Nursing (Ø.S.), Norwegian University of Science and Technology, Trondheim, Norway; Department of Neuroscience (A.S.), Uppsala University; Department of Radiation Sciences & Oncology (R.H.), University of Umeå; Department of Neurosurgery (J.B.), Karolinska University Hospital; Departments of Neuroscience and Medicine (J.B.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurosurgery (J.B.), Copenhagen University Hospital Rigshospitalet, Denmark
| | - Øyvind Salvesen
- From the Section of Clinical Neuroscience, Institute of Neuroscience and Physiology (I.R., L.C., A.S., K.S.S., P.H., A.S.J.), University of Gothenburg, Sahlgrenska Academy; Departments of Neurology (I.R., A.S., P.H.) and Neurosurgery (L.C., A.S.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurosurgery (S.G., A.S.J.), St. Olavs University Hospital HF; Institute of Neuroscience (S.G.) and Department of Public Health and Nursing (Ø.S.), Norwegian University of Science and Technology, Trondheim, Norway; Department of Neuroscience (A.S.), Uppsala University; Department of Radiation Sciences & Oncology (R.H.), University of Umeå; Department of Neurosurgery (J.B.), Karolinska University Hospital; Departments of Neuroscience and Medicine (J.B.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurosurgery (J.B.), Copenhagen University Hospital Rigshospitalet, Denmark
| | - Asgeir Store Jakola
- From the Section of Clinical Neuroscience, Institute of Neuroscience and Physiology (I.R., L.C., A.S., K.S.S., P.H., A.S.J.), University of Gothenburg, Sahlgrenska Academy; Departments of Neurology (I.R., A.S., P.H.) and Neurosurgery (L.C., A.S.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurosurgery (S.G., A.S.J.), St. Olavs University Hospital HF; Institute of Neuroscience (S.G.) and Department of Public Health and Nursing (Ø.S.), Norwegian University of Science and Technology, Trondheim, Norway; Department of Neuroscience (A.S.), Uppsala University; Department of Radiation Sciences & Oncology (R.H.), University of Umeå; Department of Neurosurgery (J.B.), Karolinska University Hospital; Departments of Neuroscience and Medicine (J.B.), Karolinska Institutet, Stockholm, Sweden; and Department of Neurosurgery (J.B.), Copenhagen University Hospital Rigshospitalet, Denmark.
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Tumor grade-related language and control network reorganization in patients with left cerebral glioma. Cortex 2020; 129:141-157. [PMID: 32473401 DOI: 10.1016/j.cortex.2020.04.015] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 01/17/2020] [Accepted: 04/21/2020] [Indexed: 12/25/2022]
Abstract
Language processing relies on both a functionally specialized language network and a domain-general cognitive control network. Yet, how the two networks reorganize after damage resulting from diffuse and progressive glioma remains largely unknown. To address this issue, 130 patients with left cerebral gliomas, including 77 patients with low-grade glioma (LGG, WHO grade Ⅰ/II), 53 patients with high-grade glioma (HGG, WHO grade III/IV) and 38 healthy controls (HC) were adopted. The changes in resting-state functional connectivity (rsFC) of the language network and the cingulo-opercular/fronto-parietal (CO-FP) network were examined using network-based statistics. We found that tumor grade negatively correlated with language scores and language network integrity. Compared with HCs, patients with LGGs exhibited slight language deficits, both decreased and increased changes in rsFC of language network, and nearly normal CO-FP network. Patients with HGGs had significantly lower language scores than those with LGG and exhibited more severe language and CO-FP network disruptions than HCs or patients with LGGs. Moreover, we found that in patients with HGGs, the decreased rsFCs of language network were positively correlated with language scores. Together, our findings suggest tumor grade-related network reorganization of both language and control networks underlie the different levels of language impairments observed in patients with gliomas.
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13
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Smits A, Jakola AS. Clinical Presentation, Natural History, and Prognosis of Diffuse Low-Grade Gliomas. Neurosurg Clin N Am 2019; 30:35-42. [DOI: 10.1016/j.nec.2018.08.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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14
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Li J, Wang X, Wang C, Sun L. The moderating role of depression on the association between posttraumatic growth and health-related quality of life in low-grade glioma patients in China. PSYCHOL HEALTH MED 2018; 24:643-653. [PMID: 30526021 DOI: 10.1080/13548506.2018.1557714] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Junyi Li
- School of Teacher Education and Psychology, Sichuan Normal University, Chengdu, China
| | - Xiaoyu Wang
- Department of Neurosurgery, West China Hospital, Chengdu, China
| | - Chengwei Wang
- Department of Neurosurgery, West China Hospital, Chengdu, China
| | - Lijun Sun
- School of Psychology, Xinxiang Medical University, Xinxiang, China
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15
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Health-Related Quality of Life and Posttraumatic Growth in Low-Grade Gliomas in China: A Prospective Study. World Neurosurg 2018; 111:e24-e31. [DOI: 10.1016/j.wneu.2017.11.122] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Revised: 11/19/2017] [Accepted: 11/22/2017] [Indexed: 11/22/2022]
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16
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Delgado AF, Fahlström M, Nilsson M, Berntsson SG, Zetterling M, Libard S, Alafuzoff I, van Westen D, Lätt J, Smits A, Larsson EM. Diffusion Kurtosis Imaging of Gliomas Grades II and III - A Study of Perilesional Tumor Infiltration, Tumor Grades and Subtypes at Clinical Presentation. Radiol Oncol 2017; 51:121-129. [PMID: 28740446 PMCID: PMC5514651 DOI: 10.1515/raon-2017-0010] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Accepted: 01/08/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Diffusion kurtosis imaging (DKI) allows for assessment of diffusion influenced by microcellular structures. We analyzed DKI in suspected low-grade gliomas prior to histopathological diagnosis. The aim was to investigate if diffusion parameters in the perilesional normal-appearing white matter (NAWM) differed from contralesional white matter, and to investigate differences between glioma malignancy grades II and III and glioma subtypes (astrocytomas and oligodendrogliomas). PATIENTS AND METHODS Forty-eight patients with suspected low-grade glioma were prospectively recruited to this institutional review board-approved study and investigated with preoperative DKI at 3T after written informed consent. Patients with histologically proven glioma grades II or III were further analyzed (n=35). Regions of interest (ROIs) were delineated on T2FLAIR images and co-registered to diffusion MRI parameter maps. Mean DKI data were compared between perilesional and contralesional NAWM (student's t-test for dependent samples, Wilcoxon matched pairs test). Histogram DKI data were compared between glioma types and glioma grades (multiple comparisons of mean ranks for all groups). The discriminating potential for DKI in assessing glioma type and grade was assessed with receiver operating characteristics (ROC) curves. RESULTS There were significant differences in all mean DKI variables between perilesional and contralesional NAWM (p=<0.000), except for axial kurtosis (p=0.099). Forty-four histogram variables differed significantly between glioma grades II (n=23) and III (n=12) (p=0.003-0.048) and 10 variables differed significantly between ACs (n=18) and ODs (n=17) (p=0.011-0.050). ROC curves of the best discriminating variables had an area under the curve (AUC) of 0.657-0.815. CONCLUSIONS Mean DKI variables in perilesional NAWM differ significantly from contralesional NAWM, suggesting altered microstructure by tumor infiltration not depicted on morphological MRI. Histogram analysis of DKI data identifies differences between glioma grades and subtypes.
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Affiliation(s)
- Anna F Delgado
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden.,Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Markus Fahlström
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
| | | | - Shala G Berntsson
- Department of Neuroscience, Neurology, Uppsala University, Uppsala, Sweden
| | - Maria Zetterling
- Department of Neuroscience, Neurosurgery, Uppsala University, Uppsala, Sweden
| | - Sylwia Libard
- Department of Immunology, Genetics and Pathology, Section of pathology, Uppsala University Hospital and Uppsala University, Uppsala, Sweden
| | - Irina Alafuzoff
- Department of Immunology, Genetics and Pathology, Section of pathology, Uppsala University Hospital and Uppsala University, Uppsala, Sweden
| | | | - Jimmy Lätt
- Department of Imaging and Function, Skåne University Healthcare, Lund, Sweden
| | - Anja Smits
- Department of Neuroscience, Neurology, Uppsala University, Uppsala, Sweden
| | - Elna-Marie Larsson
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
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17
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Neuroplasticity: Insights from Patients Harboring Gliomas. Neural Plast 2016; 2016:2365063. [PMID: 27478645 PMCID: PMC4949342 DOI: 10.1155/2016/2365063] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Accepted: 06/08/2016] [Indexed: 12/16/2022] Open
Abstract
Neuroplasticity is the ability of the brain to reorganize itself during normal development and in response to illness. Recent advances in neuroimaging and direct cortical stimulation in human subjects have given neuroscientists a window into the timing and functional anatomy of brain networks underlying this dynamic process. This review will discuss the current knowledge about the mechanisms underlying neuroplasticity, with a particular emphasis on reorganization following CNS pathology. First, traditional mechanisms of neuroplasticity, most relevant to learning and memory, will be addressed, followed by a review of adaptive mechanisms in response to pathology, particularly the recruitment of perilesional cortical regions and unmasking of latent connections. Next, we discuss the utility and limitations of various investigative techniques, such as direct electrocortical stimulation (DES), functional magnetic resonance imaging (fMRI), corticocortical evoked potential (CCEP), and diffusion tensor imaging (DTI). Finally, the clinical utility of these results will be highlighted as well as possible future studies aimed at better understanding of the plastic potential of the brain with the ultimate goal of improving quality of life for patients with neurologic injury.
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18
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Boussen S, Velly L, Benar C, Metellus P, Bruder N, Trébuchon A. In Vivo Tumour Mapping Using Electrocorticography Alterations During Awake Brain Surgery: A Pilot Study. Brain Topogr 2016; 29:766-82. [PMID: 27324381 DOI: 10.1007/s10548-016-0502-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Accepted: 06/08/2016] [Indexed: 10/21/2022]
Abstract
During awake brain surgery for tumour resection, in situ EEG recording (ECoG) is used to identify eloquent areas surrounding the tumour. We used the ECoG setup to record the electrical activity of cortical and subcortical tumours and then performed frequency and connectivity analyses in order to identify ECoG impairments and map tumours. We selected 16 patients with cortical (8) and subcortical (8) tumours undergoing awake brain surgery. For each patient, we computed the spectral content of tumoural and healthy areas in each frequency band. We computed connectivity of each electrode using connectivity markers (linear and non-linear correlations, phase-locking and coherence). We performed comparisons between healthy and tumour electrodes. The ECoG alterations were used to implement automated classification of the electrodes using clustering or neural network algorithms. ECoG alterations were used to image cortical tumours.Cortical tumours were found to profoundly alter all frequency contents (normalized and absolute power), with an increase in the δ activity and a decreases for the other bands (P < 0.05). Cortical tumour electrodes showed high level of connectivity compared to surrounding electrodes (all markers, P < 0.05). For subcortical tumours, a relative decrease in the γ1 band and in the alpha band in absolute amplitude (P < 0.05) were the only abnormalities. The neural network algorithm classification had a good performance: 93.6 % of the electrodes were classified adequately on a test subject. We found significant spectral and connectivity ECoG changes for cortical tumours, which allowed tumour recognition. Artificial neural algorithm pattern recognition seems promising for electrode classification in awake tumour surgery.
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Affiliation(s)
- Salah Boussen
- Department of Anaesthesiology and Intensive Care, CHU Timone, Assistance Publique Hôpitaux de Marseille, Aix Marseille Université, 264 rue Saint-Pierre, 13005, Cedex 5 Marseille, France. .,IFSTTAR, LBA UMR T 24, Aix Marseille Université, 13916, Marseille, France.
| | - Lionel Velly
- Department of Anaesthesiology and Intensive Care, CHU Timone, Assistance Publique Hôpitaux de Marseille, Aix Marseille Université, 264 rue Saint-Pierre, 13005, Cedex 5 Marseille, France
| | - Christian Benar
- Institut de Neurosciences des Systèmes - Inserm UMR1106, Aix-Marseille Université Faculté de Médecine, 27, Boulevard Jean Moulin, 13005, Marseille, France
| | - Philippe Metellus
- Neurosurgery Department, CHU Timone, Assistance Publique Hôpitaux de Marseille, Aix Marseille Université, 264 rue Saint-Pierre, 13005, Marseille, France.,CRO2 (oncology and oncopharmacology research center) INSERM UMRS 911, Aix Marseille Université, Marseille, France
| | - Nicolas Bruder
- Department of Anaesthesiology and Intensive Care, CHU Timone, Assistance Publique Hôpitaux de Marseille, Aix Marseille Université, 264 rue Saint-Pierre, 13005, Cedex 5 Marseille, France
| | - Agnès Trébuchon
- Institut de Neurosciences des Systèmes - Inserm UMR1106, Aix-Marseille Université Faculté de Médecine, 27, Boulevard Jean Moulin, 13005, Marseille, France.,Clinical Electrophysiology Department, CHU Timone, Assistance Publique Hôpitaux de Marseille, Aix Marseille Université, 264 rue Saint-Pierre, 13005, Marseille, France
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