An update on tests used for intraoperative monitoring of cognition during awake craniotomy

Acta Neurochirurgica, Journal Year: 2024, Volume and Issue: 166(1)

Published: May 7, 2024

Abstract Purpose Mapping higher-order cognitive functions during awake brain surgery is important for preservation which related to postoperative quality of life. A systematic review from 2018 about neuropsychological tests used craniotomy made clear that until 2017 language was most often monitored and the other domains were underexposed (Ruis, J Clin Exp Neuropsychol 40(10):1081–1104, 218). The field monitoring however developing rapidly. aim current therefore, investigate whether there a change in towards incorporation new more complete mapping (higher-order) functions. Methods We replicated search study PubMed Embase February November 2023, yielding 5130 potentially relevant articles. artificial machine learning tool ASReview screening included 272 papers gave detailed description craniotomy. Results Comparable previous 2018, majority studies (90.4%) reported assessing Nevertheless, an increasing number now also describe visuospatial functions, social cognition, executive Conclusions Language remains extensively tested domain. However, broader range are implemented (new developed) received attention. rapid development reflected this review. some (e.g., memory), still need can be surgery.

Language: Английский

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Resting‐State fMRI to Map Language Function for Surgical Planning in Patients With Brain Tumors: A Feasibility Study

Journal of Neuroimaging, Journal Year: 2025, Volume and Issue: 35(1)

Published: Jan. 1, 2025

ABSTRACT Background and Purpose In neurosurgery, functional MRI is crucial for preoperative planning to obtain the cortical cortex map of language areas. This preliminary work involved analyzing MRIs 20 oncological patients. Our question if resting‐state (rs‐fMRI) can replace standard task‐based (tb‐fMRI) in routine clinical applications. The aim this challenge determine rs‐fMRI as effective tb‐fMRI develop a systematic approach extraction map. Methods We started by our images validated correct mapping regions using an independent components analysis approach; then, we used connectivity networks compare two techniques. Results identified align with established medical knowledge; comparison reveals that four regions—Broca's Wernicke's areas both hemispheres—exhibit activation techniques; furthermore, highlighted more comprehensive details about contrast tb‐fMRI. Conclusions rs‐MRI tb‐MRI provide similar levels efficacy revealing brain when lesion lies related language; thus, techniques be utilized goal. Based on this, developed processing pipeline usage applied it patient outside study.

Language: Английский

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Intelligent tumor tissue classification for Hybrid Health Care Units

Frontiers in Medicine, Journal Year: 2024, Volume and Issue: 11

Published: June 26, 2024

Introduction In the evolving healthcare landscape, we aim to integrate hyperspectral imaging into Hybrid Health Care Units advance diagnosis of medical diseases through effective fusion cutting-edge technology. The scarcity data limits use in disease classification. Methods Our study innovatively integrates characterize tumor tissues across diverse body locations, employing Sharpened Cosine Similarity framework for classification and subsequent recommendation. efficiency proposed model is evaluated using Cohen's kappa, overall accuracy, f1-score metrics. Results demonstrates remarkable efficiency, with kappa 91.76%, an accuracy 95.60%, 96%. These metrics indicate superior performance our over existing state-of-the-art methods, even limited training data. Conclusion This marks a milestone hybrid informatics, improving personalized care advancing recommendations.

Language: Английский

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Neuroradiology 2040: A Glimpse into the Future

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

Published: Sept. 1, 2023

Language: Английский

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Functional Magnetic Resonance Imaging

Advances in medical diagnosis, treatment, and care (AMDTC) book series, Journal Year: 2024, Volume and Issue: unknown, P. 120 - 140

Published: Jan. 5, 2024

Functional magnetic resonance imaging (fMRI), with its unique advantages of non-invasiveness, relatively balanced spatial and temporal resolution, repeatability, whole brain imaging, has brought methodological breakthroughs to neuroscience neurological clinical practice. By measuring blood oxygen-dependent signals, fMRI can reveal activity in task execution, sensory stimulation, emotional regulation. comparing the functional between patients normal controls, detect abnormal regions associated mental illness. During rehabilitation stroke, traumatic injury, neurodegenerative diseases, enables evaluation function recovery guides personalized training. This chapter introduces working principle summarizes state art, providing references for clinicians, researchers neuroscience, biomedical engineers.

Language: Английский

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Harnessing Advanced Tractography in Neurosurgical Practice

Published: Feb. 13, 2024

This chapter explores the fundamentals and recent advancements of diffusion-weighted imaging (DWI) its primary application, tractography. Both have become indispensable in research arena are currently being integrated into clinical world, especially for neurosurgery. These technologies provide rapid, vivo mapping white matter tracts, greatly assisting surgeons pre-surgical planning enabling them to offer patients more precise prognostic information, thereby enhancing process informed decision-making. Despite nearly three decades use development sophisticated techniques, adoption contemporary tractography methods settings has been slow. Here, we aim a comprehensive understanding DWI's basic principles, shed light on advanced methodologies that surpass traditional diffusion tensor model, discuss integration Our objective is advocate incorporation newer techniques standard practice.

Language: Английский

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Tumors Affect the Metabolic Connectivity of the Human Brain Measured by 18F-FDG PET

Clinical Nuclear Medicine, Journal Year: 2024, Volume and Issue: 49(9), P. 822 - 829

Published: May 1, 2024

Purpose 18 F-FDG PET captures the relationship between glucose metabolism and synaptic activity, allowing for modeling brain function through metabolic connectivity. We investigated tumor-induced modifications of Patients Methods Forty-three patients with left hemispheric tumors PET/MRI were retrospectively recruited. included 37 healthy controls (HCs) from database CERMEP-IDB-MRXFDG. analyzed whole right versus hemispheres connectivity in HC, frontal temporal tumors, active radiation necrosis, high Karnofsky performance score (KPS = 100) low KPS < 70). Results compared 2-sided t test ( P 0.05). Twenty high-grade glioma, 4 low-grade 19 metastases included. The patients’ whole-brain network displayed lower metrics HC 0.001), except assortativity betweenness centrality 0.001). showed decreased similarity, 0.01), exception 0.002). did not show significant differences. Frontal higher 0.001) than but 4.5 −7 ). distance local efficiency rich club coefficient 0.0048), clustering 0.00032), 0.008), similarity 0.0027) KPS. tumor(s) (14/43) demonstrated significantly necroses. Conclusions Tumors cause reorganization networks, characterized by formation new connections centrality. retained a more efficient, centralized, segregated tumors. Stronger was associated

Language: Английский

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Pseudo-Resting-State Functional MRI Derived from Dynamic Susceptibility Contrast Perfusion MRI Can Predict Cognitive Impairment in Glioma

American Journal of Neuroradiology, Journal Year: 2024, Volume and Issue: 45(10), P. 1552 - 1561

Published: May 7, 2024

ABSTRACT

BACKGROUND AND PURPOSE:

Resting-state functional MRI (rs-fMRI) can be used to estimate connectivity (FC) between different brain regions, which may of value for identifying cognitive impairment in patients with tumors. Unfortunately, neither rs-fMRI nor neurocognitive assessments are routinely assessed clinically, mostly due limitations exam time and cost. Since DSC perfusion is often clinically assess tumor vascularity similarly uses a gradient echo-EPI sequence T_2*sensitivity, we theorized "pseudo-rs-fMRI" signal could derived from simultaneously quantify FC metrics, these metrics

MATERIALS METHODS:

N=24 consecutive gliomas were enrolled prospective study that included MRI, rs-fMRI, assessment. Voxel-wise modeling contrast bolus dynamics during acquisition was performed then subtracted the original generate residual signal. Following pre-processing pseudo-rs-fMRI, full truncated version (first 100 timepoints) data, default mode, motor, language network maps generated atlas-based ROIs. Dice scores calculated resting-state pseudo-rs-fMRI using as reference. Seed-to-voxel ROI-to-ROI analyses differences cognitively impaired non-impaired patients.

RESULTS:

group-level patient-level (mean±SD) 0.905/0.689±0.118 (group/patient), 0.973/0.730±0.124, 0.935/0.665±0.142, respectively. There no significant difference mode (P=0.97) or networks (P=0.30), but there motor (P=0.02). A multiple logistic regression classifier applied identify (Sensitivity=84.6%, Specificity=63.6%, ROC AUC=0.7762±0.0954 (SE), P=0.0221) performance not significantly than predictions (AUC=0.8881±0.0733 P=0.0013, P=0.29 compared pseudo-rs-fMRI).

CONCLUSIONS:

MRI-derived data perform typical decline tumors while still performing analyses. ABBREVIATIONS: AUC = Area under curve; BOLD Blood oxygenation level dependent; Functional connectivity; MNI Montreal Neurological Institute; Receiver operating characteristic; Rs-fMRI

Language: Английский

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A Stacked Multimodality Model Based on Functional MRI Features and Deep Learning Radiomics for Predicting the Early Response to Radiotherapy in Nasopharyngeal Carcinoma

Academic Radiology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

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Negative hemodynamic response in the visual cortex: evidence supporting neuronal origin via hemodynamic observation and two-photon imaging

Brain Research Bulletin, Journal Year: 2024, Volume and Issue: unknown, P. 111149 - 111149

Published: Nov. 1, 2024

Language: Английский

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