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Updated: Jul 28, 2026

Quantifying Cognitive Decrements Caused by Cranial Radiotherapy
Published on: October 18, 2011
Neurocognitive and Resting-State Functional Magnetic Resonance Imaging Changes in Patients With Diffuse Gliomas After
Zhihua Liu1, Timothy J Mitchell1, Chongliang Luo2
1Department of Radiation Oncology, Washington University School of Medicine, St Louis, Missouri.
Purpose:
This prospective observational study employed resting-state functional magnetic resonance imaging (rs-fMRI) to investigate network-level disturbances associated with neurocognitive function (NCF) changes in patients with gliomas following partial-brain radiation therapy (RT).
Methods And Materials:
Adult postoperative patients with either isocitrate dehydrogenase (IDH)-wild-type or IDH-mutant gliomas underwent computerized NCF testing and rs-fMRI at baseline and 6 months post-RT. rs-fMRI data were assessed using seed-based functional connectivity (FC). NCF changes were quantified by the percent change in age-normalized composite scores from baseline (ΔNCFcomp). Connectivity regression analysis assessed the association between network FC changes and NCF changes, using a split-sample approach with a 26-patient training set and a 6-patient validation set, iterated 200 times. Permutation tests evaluated the significance of network selection.
Results:
Between September 2020 and December 2023, 43 patients were enrolled, with 32 completing both baseline and follow-up evaluations. The mean ΔNCFcomp was 2.9% (SD, 13.7%), with 38% experiencing a decline. Patients with IDH-mutant glioma had similar NCF changes compared with those with IDH-wild-type glioma. Intrahemispheric FC was similar between ipsilateral and contralateral hemispheres for 91% of patients at baseline, and 69% had similar intrahemispheric FC change posttreatment. FC changes accounted for a moderate fraction of variance in NCF changes (mean R2, 0.301; SD, 0.249), with intranetwork FC of the parietal memory network (PMN-PMN, P = .001) and internetwork FC between the PMN and the visual network (PMN-VN, P = .002) as the most significant factors. Similar findings were obtained by sensitivity analyses using only the FC data from the hemisphere contralateral to the tumor.
Conclusions:
Post-RT rs-fMRI changes significantly reflected NCF decline, highlighting rs-fMRI as a promising imaging biomarker for neurocognitive decline after RT.
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