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. 2020 Nov 9;22(Suppl 2):ii159. doi: 10.1093/neuonc/noaa215.665

NIMG-52. CHARACTERIZATION OF COGNITIVE FUNCTION IN SURVIVORS OF DIFFUSE GLIOMAS USING MORPHOMETRIC CORRELATION NETWORKS (MCN)

Chencai Wang 1, Kathleen Van Dyk 1, Nicholas Cho 1, Catalina Raymond 1, Justin Choi 1, Noriko Salamon 1, Whitney Pope 1, Albert Lai 1, Timothy Cloughesy 1, Phioanh Nghiemphu 1, Benjamin Ellingson 1
PMCID: PMC7650865

Abstract

Advanced multimodality treatments have led to improved survival and quality of life for patients with diffuse gliomas, and widespread functional reorganization has been reported to be associated with improved cognitive function. However, investigation of morphological alterations in patients with diffuse gliomas has been problematic, largely due to the tumor resection cavities. This pilot study has overcome these challenges and aims to characterize the relationship between structural plasticity and cognitive function in survivors of diffuse gliomas. High-resolution T1 weighted images were collected from 24 patients with diffuse gliomas (mean age 44.5 ± 11.5) who had completed their treatment within the previous ten years. Interregional correlations of cortical thickness were computed to establish morphometric correlation networks (MCN) for twelve cognitively impaired and twelve non-impaired glioma patients, as well as correlated with self-reported cognitive impairment. Our findings demonstrated that both cognitively impaired (σ=1.5979) and non-impaired (σ=1.3683) glioma patients have a small world architecture in disrupted morphological networks. Although the left fusiform (p=0.0409), left inferior (p=0.0209), and temporal (p=0.0173) gyri were observed to be thicker in non-impaired patients, the robustness of their morphological network was weak and easily vulnerable to pathological attacks and neurological deterioration. Furthermore, regions such as the superior temporal gyrus (p=0.0126) and rostral middle frontal gyrus (p=0.0148) were not only identified as predominant nodes in the MCN of patients but were also found to have greater gray matter thickness, which is associated with better FACT-cognitive function. Together, these results support our hypothesis that a widespread morphological network is altered in survivors of diffuse gliomas. Predominant regions obtained by topological analysis may lead to reliable imaging biomarkers that help evaluate patients’ cognition and ability to function.


Articles from Neuro-Oncology are provided here courtesy of Society for Neuro-Oncology and Oxford University Press

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