Editorial for “An MRI Study Combining Virtual Brain Grafting and Surface‐Based Morphometry Analysis to Investigate Contralateral Alterations in Cortical Morphology in Patients With Diffuse Low‐Grade Glioma” DOI
Keun‐Yeong Jeong

Journal of Magnetic Resonance Imaging, Journal Year: 2022, Volume and Issue: 58(3), P. 750 - 751

Published: Dec. 12, 2022

There are no conflicts of interest to declare.

Language: Английский

Functional MRI in Neuro-Oncology: State of the Art and Future Directions DOI
Luca Pasquini, Kyung K. Peck, Mehrnaz Jenabi

et al.

Radiology, Journal Year: 2023, Volume and Issue: 308(3)

Published: Sept. 1, 2023

Since its discovery in the early 1990s, functional MRI (fMRI) has been used to study human brain function. One well-established application of fMRI clinical setting is neurosurgical planning patients with tumors near eloquent cortical areas. Clinical aims preoperatively identify cortices that serve essential functions daily life, such as hand movement and language. The primary goal neurosurgery maximize tumor resection while sparing adjacent tumor. When a lesion presents vicinity an cortex, surgeons may use plan their best surgical approach by determining proximity regions activation, providing guidance for awake surgery intraoperative mapping. acquisition requires patient preparation prior imaging, determination paradigms, monitoring performance, both processing analysis images. Interpretation maps strong understanding neuroanatomy familiarity technical limitations frequently present including neurovascular uncoupling, compliance, data analysis. This review discusses neuro-oncology, relevant ongoing research topics, prospective future developments this exciting discipline.

Language: Английский

Citations

14

Technical Aspects of Motor and Language Mapping in Glioma Patients DOI Open Access
Nadeem Al-Adli, Jacob S. Young, Youssef Sibih

et al.

Cancers, Journal Year: 2023, Volume and Issue: 15(7), P. 2173 - 2173

Published: April 6, 2023

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

Language: Английский

Citations

12

Combination of MRI-based prediction and CRISPR/Cas12a-based detection for IDH genotyping in glioma DOI Creative Commons

Donghu Yu,

Qisheng Zhong,

Yilei Xiao

et al.

npj Precision Oncology, Journal Year: 2024, Volume and Issue: 8(1)

Published: July 1, 2024

Early identification of IDH mutation status is great significance in clinical therapeutic decision-making the treatment glioma. We demonstrate a technological solution to improve accuracy and reliability detection by combining MRI-based prediction CRISPR-based automatic integrated gene system (AIGS). A model was constructed predict using whole slices MRI scans with Transformer neural network, predictive achieved accuracies 0.93, 0.87, 0.84 internal two external test sets, respectively. Additionally, CRISPR/Cas12a-based AIGS constructed, 100% diagnostic terms both frozen tissue FFPE samples one hour. Moreover, feature attribution our assessed GradCAM, highest correlations tumor cell percentages enhancing IDH-wildtype gliomas were found have GradCAM importance (0.65 0.5, respectively). This could, therefore, guide biopsy for tumor-enriched, which would ensure veracity stability rapid results. The combination improved early determination glioma patients. combined can be used biopsy, resection, radiation patients patient outcomes.

Language: Английский

Citations

3

Changes on Cognition and Brain Network Temporal Variability After Pediatric Neurosurgery DOI
Xueyi Guan,

Bohan Hu,

Wenjian Zheng

et al.

Neurosurgery, Journal Year: 2024, Volume and Issue: unknown

Published: July 18, 2024

Pediatric intracranial space-occupying lesions are common, with prognoses improving markedly in recent years, significantly extending survival. As such, there is an imperative to pay increased attention the postoperative cognitive functions and brain network alterations these children because factors influence their quality of life. Temporal variability (TV) analysis networks captures full extent resting-state activities, reflecting rehabilitation potential. However, previous research rarely uses TV analyses most focus on adults or after multidisciplinary treatments, not combined effect caused by neurosurgery only self-repair. This study gives our insights into this field from a holistic perspective.

Language: Английский

Citations

3

Estimating the Prognosis of Low-Grade Glioma with Gene Attention Using Multi-Omics and Multi-Modal Schemes DOI Creative Commons
Sanghyuk Roy Choi, Minhyeok Lee

Biology, Journal Year: 2022, Volume and Issue: 11(10), P. 1462 - 1462

Published: Oct. 5, 2022

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

Language: Английский

Citations

13

Language reorganization in patients with left-hemispheric gliomas is associated with increased cortical volume in language-related areas and in the default mode network DOI Creative Commons
Luca Pasquini, Mehrnaz Jenabi, Kyung K. Peck

et al.

Cortex, Journal Year: 2022, Volume and Issue: 157, P. 245 - 255

Published: Oct. 19, 2022

Language: Английский

Citations

10

Longitudinal Evaluation of Brain Plasticity in Low-Grade Gliomas: fMRI and Graph-Theory Provide Insights on Language Reorganization DOI Open Access
Luca Pasquini, Kyung K. Peck, Alice Tao

et al.

Cancers, Journal Year: 2023, Volume and Issue: 15(3), P. 836 - 836

Published: Jan. 29, 2023

Language reorganization may represent an adaptive phenomenon to compensate tumor invasion of the dominant hemisphere. However, functional changes over time underlying language plasticity remain unknown. We evaluated function in patients with low-grade glioma (LGG), using task-based MRI (tb-fMRI), graph-theory and standardized assessment. hypothesized that networks obtained from tb-fMRI would show connectivity time, increased right-hemispheric participation. recruited five right-handed (4M, mean age 47.6Y) left-hemispheric LGG. Tb-fMRI assessment were conducted pre-operatively (pre-op), post-operatively: post-op1 (4-8 months), post-op2 (10-14 months) post-op3 (16-23 months). computed individual applying optimal percolation thresholding. dominance hemispheric quantified by laterality indices (LI) on fMRI maps matrices. A fixed linear mixed model was used assess intra-patient correlation trend LI values their performance. Individual showed inter-hemispheric right-sided involving areas homologues. Two patterns emerged: Three/five demonstrated a left-to-codominant shift pre-op (type 1). Two/five started as atypical at pre-op, remained unchanged 2). significant left-to-right all across timepoints. There no performance time. Type 1 be related treatment, while type 2 tumor-induced, since it already present pre-op. Increased right-side initial step develop plasticity.

Language: Английский

Citations

5

Applications of Functional Magnetic Resonance Imaging to the Study of Functional Connectivity and Activation in Neurological Disease: A Scoping Review of the Literature DOI
Sandra Leskinen, Souvik Singha, Neel H. Mehta

et al.

World Neurosurgery, Journal Year: 2024, Volume and Issue: 189, P. 185 - 192

Published: June 5, 2024

Language: Английский

Citations

1

The impact of patient factors and tumor characteristics on language neuroplasticity in left hemispheric diffuse gliomas prior to surgical resection DOI
Wei‐Han Chang, Kuo‐Chen Wei, Pin‐Yuan Chen

et al.

Journal of Neuro-Oncology, Journal Year: 2023, Volume and Issue: 163(1), P. 95 - 104

Published: April 24, 2023

Language: Английский

Citations

3

Controllability and Robustness of Functional and Structural Connectomic Networks in Glioma Patients DOI Open Access
Anke Meyer‐Baese, Kerstin Jütten, Uwe Meyer‐Baese

et al.

Cancers, Journal Year: 2023, Volume and Issue: 15(10), P. 2714 - 2714

Published: May 11, 2023

Previous studies suggest that the topological properties of structural and functional neural networks in glioma patients are altered beyond tumor location. These alterations due to dynamic interactions with large-scale circuits. Understanding describing these may be an important step towards deciphering disease evolution. In this study, we analyze brain terms determining correlation between network robustness features regarding default-mode (DMN), comparing prognostically differing patient groups healthy controls. We determine driver nodes networks, which receptive outside signals, critical as most elements for controllability since their removal will dramatically affect controllability. Our results DMN is decreased patients. found losses patients, especially less favorable IDH wildtype (IDHwt) might reflect lesion-induced disintegration. On other hand, shifts nodes, even increases number were observed mainly mutated (IDHmut) relate varying degrees plasticity accompanying chronic course some depending on growth dynamics. hereby implement a novel approach further exploring evolution cancer under aspects

Language: Английский

Citations

3