Brain Functional Connectivity in Low- and High-Grade Gliomas: Differences in Network Dynamics Associated with Tumor Grade and Location

Pasquini, Luca; Jenabi, Mehrnaz; Yıldırım, Onur; Silveira, Patrick; Peck, Kyung K.; Holodny, Andrei I.

doi:10.3390/cancers14143327

Cited by 20 publications

(30 citation statements)

References 42 publications

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“…We observe significant changes to take place in the hemisphere harboring the lesion but, to a certain extent, in the healthy hemisphere, too. This finding is in agreement with a recent study reporting the long-range effects of highly malignant lesions, capable of affecting the contralesional hemisphere, as well [ 33 ]. This phenomenon was more marked for patients in the RH group, for whom ROI overlap across patients was low for both conditions (see Figure 1 ).…”

Section: Discussionsupporting

confidence: 94%

Hemispheric Asymmetry of the Hand Motor Representations in Patients with Highly Malignant Brain Tumors: Implications for Surgery and Clinical Practice

et al. 2022

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We addressed both brain pre-surgical functional and neurophysiological aspects of the hand representation in 18 right-handed patients harboring a highly malignant brain tumor in the sensorimotor (SM) cortex (10 in the left hemisphere, LH, and 8 in the right hemisphere, RH) and 10 healthy controls, who performed an fMRI hand-clenching task with both hands alternatively. We extracted the main ROI in the SM cortex and compared ROI values and volumes between hemispheres and groups, in addition to their motor neurophysiological measures. Hemispheric asymmetry in the fMRI signal was observed for healthy controls, namely higher signal for the left-hand movements, but not for either patients’ groups. ROI values, although altered in patients vs. controls, did not differ significantly between groups. ROI volumes associated with right-hand movement were lower for both patients’ groups vs. controls, and those associated with left-hand movement were lower in the RH group vs. all groups. These results are relevant to interpret potential preoperative plasticity and make inferences about postoperative plasticity and can be integrated in the surgical planning to increase surgery success and postoperative prognosis and quality of life.

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Section: Discussionsupporting

confidence: 94%

Hemispheric Asymmetry of the Hand Motor Representations in Patients with Highly Malignant Brain Tumors: Implications for Surgery and Clinical Practice

et al. 2022

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“…The proposed deep learning model, Multi-PEN, was used to estimate prognosis and search for prognostic genes in LGG patients. Other studies have utilized conventional and straightforward deep learning models, such as MLP, without considering current developments in deep learning [ 21 , 22 ]. Conversely, to find the prognostic genes, including miRNA, Multi-PEN exploits recent developments, i.e., residual networks and gene attention mechanisms.…”

Section: Discussionmentioning

confidence: 99%

“…In contrast, grade II LGG tumors do involve the aforementioned histologic features [ 19 ]. Symptoms of LGG include headaches, vomiting, blurry vision, memory loss, nausea, and weakness on one side of the body [ 20 , 21 , 22 , 23 ]. LGG causes seizures more frequently than other brain cancers because it is produced in the cerebral cortex.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Prognosis of Low-Grade Glioma with Gene Attention Using Multi-Omics and Multi-Modal Schemes

Choi

Lee

2022

Biology

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The prognosis estimation of low-grade glioma (LGG) patients with deep learning models using gene expression data has been extensively studied in recent years. However, the deep learning models used in these studies do not utilize the latest deep learning techniques, such as residual learning and ensemble learning. To address this limitation, in this study, a deep learning model using multi-omics and multi-modal schemes, namely the Multi-Prognosis Estimation Network (Multi-PEN), is proposed. When using Multi-PEN, gene attention layers are employed for each datatype, including mRNA and miRNA, thereby allowing us to identify prognostic genes. Additionally, recent developments in deep learning, such as residual learning and layer normalization, are utilized. As a result, Multi-PEN demonstrates competitive performance compared to conventional models for prognosis estimation. Furthermore, the most significant prognostic mRNA and miRNA were identified using the attention layers in Multi-PEN. For instance, MYBL1 was identified as the most significant prognostic mRNA. Such a result accords with the findings in existing studies that have demonstrated that MYBL1 regulates cell survival, proliferation, and differentiation. Additionally, hsa-mir-421 was identified as the most significant prognostic miRNA, and it has been extensively reported that hsa-mir-421 is highly associated with various cancers. These results indicate that the estimations of Multi-PEN are valid and reliable and showcase Multi-PEN’s capacity to present hypotheses regarding prognostic mRNAs and miRNAs.

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“…Previous works have established that language networks are variable, and as such, mapping only when tumors involve specific anatomic regions is inadequate [ 14 , 83 , 87 , 88 ] because no structural landmark on preoperative MRI can precisely predict functional tissue [ 84 ]. Combined with the possibility of functional tissue being present within the tumor region [ 89 , 90 ] and tumor-induced reorganization [ 91 , 92 , 93 , 94 ], these factors complicate language localization [ 95 ]. While ISM is the gold standard, intraoperative MRI (iMRI), 5-aminolevulinic acid (5-ALA), and intraoperative ultrasound (iUS) are notable adjuncts that can be used in the operating room to increase the extent of resection [ 96 , 97 , 98 ].…”

Section: Language Mappingmentioning

confidence: 99%

Technical Aspects of Motor and Language Mapping in Glioma Patients

Al-Adli

Young

Sibih

et al. 2023

Cancers

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Gliomas are infiltrative primary brain tumors that often invade functional cortical and subcortical regions, and they mandate individualized brain mapping strategies to avoid postoperative neurological deficits. It is well known that maximal safe resection significantly improves survival, while postoperative deficits minimize the benefits associated with aggressive resections and diminish patients’ quality of life. Although non-invasive imaging tools serve as useful adjuncts, intraoperative stimulation mapping (ISM) is the gold standard for identifying functional cortical and subcortical regions and minimizing morbidity during these challenging resections. Current mapping methods rely on the use of low-frequency and high-frequency stimulation, delivered with monopolar or bipolar probes either directly to the cortical surface or to the subcortical white matter structures. Stimulation effects can be monitored through patient responses during awake mapping procedures and/or with motor-evoked and somatosensory-evoked potentials in patients who are asleep. Depending on the patient’s preoperative status and tumor location and size, neurosurgeons may choose to employ these mapping methods during awake or asleep craniotomies, both of which have their own benefits and challenges. Regardless of which method is used, the goal of intraoperative stimulation is to identify areas of non-functional tissue that can be safely removed to facilitate an approach trajectory to the equator, or center, of the tumor. Recent technological advances have improved ISM’s utility in identifying subcortical structures and minimized the seizure risk associated with cortical stimulation. In this review, we summarize the salient technical aspects of which neurosurgeons should be aware in order to implement intraoperative stimulation mapping effectively and safely during glioma surgery.

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Brain Functional Connectivity in Low- and High-Grade Gliomas: Differences in Network Dynamics Associated with Tumor Grade and Location

Cited by 20 publications

References 42 publications

Hemispheric Asymmetry of the Hand Motor Representations in Patients with Highly Malignant Brain Tumors: Implications for Surgery and Clinical Practice

Hemispheric Asymmetry of the Hand Motor Representations in Patients with Highly Malignant Brain Tumors: Implications for Surgery and Clinical Practice

Estimating the Prognosis of Low-Grade Glioma with Gene Attention Using Multi-Omics and Multi-Modal Schemes

Technical Aspects of Motor and Language Mapping in Glioma Patients

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