Functional connectivity of the default mode, dorsal attention and fronto-parietal executive control networks in glial tumor patients

Tordjman, Mickaël; Madelin, Guillaume; Gupta, Pradeep Kumar; Cordova, Christine; Kurz, Sylvia C.; Orringer, Daniel; Golfinos, John G.; Kondziolka, Douglas; Ge, Yulin; Wang, Ruoyu Luie; Lazar, Mariana; Jain, Rajan

doi:10.1007/s11060-021-03706-w

Cited by 20 publications

(27 citation statements)

References 47 publications

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“…These ECN network findings are supported by behavioral results with significantly lower executive function scores (TMT scores) in both non-FGep and FGep. Our results are inconsistent with previous studies ( Liu et al, 2019 ; Liu Y. et al, 2020 ; Tordjman et al, 2021 ), which showed that frontal glioma patients have the clinical compensation phenomenon of intact executive function and increased FC within ECN. Their interpretation is that tumor invasion induces FC reorganization of the ECN.…”

Section: Discussioncontrasting

confidence: 99%

“…Tumor invasion of the frontal lobe (located in ECN) affects the brain’s executive functions ( Seeley et al, 2009 ; Smith et al, 2009 ; Park et al, 2015 ; Zhang et al, 2016 ; Liu et al, 2019 ). Recent studies have consistently indicated that when the tumor invades the frontal lobe, the frontal glioma shows structural [gray matter (GM) reorganization and reduction in cortical thickness] ( Kinno et al, 2020 ; Liu Y. et al, 2020 ) and functional [functional reorganization and decreased functional connectivity (FC)] abnormalities within the ECN ( Liu et al, 2019 ; Liu Y. et al, 2020 ; Tordjman et al, 2021 ). Furthermore, idiopathic epilepsy reduces FC in networks (such as the salience network, default network, and ECN) ( Cao et al, 2014 ; Li et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

“…This study aimed to investigate the altered structural and functional patterns of ECN in non-FGep and FGep subjects and to evaluate whether these patterns can accurately distinguish glioma-associated epileptic seizures. Based above-mentions studies ( Liu et al, 2019 ; Liu Y. et al, 2020 ; Tordjman et al, 2021 ), we hypothesized that non-FGep and FGep would show structural (i.e., GM) and functional [i.e., regional homogeneity (ReHo) and FC] abnormalities of ECN and display differential damage patterns. Furthermore, we hypothesize that the altered patterns can accurately distinguish tumor invasion of the frontal lobe with or without an epileptic seizure.…”

Section: Introductionmentioning

confidence: 99%

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Altered Structural and Functional Patterns Within Executive Control Network Distinguish Frontal Glioma-Related Epilepsy

Tan

et al. 2022

Front. Neurosci.

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BackgroundThe tumor invasion of the frontal lobe induces changes in the executive control network (ECN). It remains unclear whether epileptic seizures in frontal glioma patients exacerbate the structural and functional alterations within the ECN, and whether these changes can be used to identify glioma-related seizures at an early stage. This study aimed to investigate the altered structural and functional patterns of ECN in frontal gliomas without epilepsy (non-FGep) and frontal gliomas with epilepsy (FGep) and to evaluate whether the patterns can accurately distinguish glioma-related epilepsy.MethodsWe measured gray matter (GM) volume, regional homogeneity (ReHo), and functional connectivity (FC) within the ECN to identify the structural and functional changes in 50 patients with frontal gliomas (29 non-FGep and 21 FGep) and 39 healthy controls (CN). We assessed the relationships between the structural and functional changes and cognitive function using partial correlation analysis. Finally, we applied a pattern classification approach to test whether structural and functional abnormalities within the ECN can distinguish non-FGep and FGep from CN subjects.ResultsWithin the ECN, non-FGep and FGep showed increased local structure (GM) and function (ReHo), and decreased FC between brain regions compared to CN. Also, non-FGep and FGep showed differential patterns of structural and functional abnormalities within the ECN, and these abnormalities are more severe in FGep than in non-FGep. Lastly, FC between the right superior frontal gyrus and right dorsolateral prefrontal cortex was positively correlated with episodic memory scores in non-FGep and FGep. In particular, the support vector machine (SVM) classifier based on structural and functional abnormalities within ECN could accurately distinguish non-FGep and FGep from CN, and FGep from non-FGep on an individual basis with very high accuracy, area under the curve (AUC), sensitivity, and specificity.ConclusionTumor invasion of the frontal lobe induces local structural and functional reorganization within the ECN, exacerbated by the accompanying epileptic seizures. The ECN abnormalities can accurately distinguish the presence or absence of epileptic seizures in frontal glioma patients. These findings suggest that differential ECN patterns can assist in the early identification and intervention of epileptic seizures in frontal glioma patients.

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Section: Discussioncontrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Altered Structural and Functional Patterns Within Executive Control Network Distinguish Frontal Glioma-Related Epilepsy

Tan

et al. 2022

Front. Neurosci.

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“…Thus, red light exposure seems to disrupt regions associated with goal-oriented tasks such as working memory while enhancing cortical regions associated with memory recall or mind-wandering such as the DMN 28 . DMN has been related to an improvement of cognitive control 29 , an improvement from two-month of meditation 30 , and it has been reported to have decreased functional connectivity in glial tumor patients 31 , Parkinson’s disease 32 , unilateral amblyopia 33 and depressive disorder 34 , although it seems that medication for major depressive disorder does not influence the organization of DMN 35 . Also, working-memory performance has been related to the activation and deactivation of the DMN 36 .…”

Section: Discussionmentioning

confidence: 99%

Functional connectivity of brain networks with three monochromatic wavelengths: a pilot study using resting-state functional magnetic resonance imaging

Argilés

Sunyer-Grau

Arteche-Fernandez

et al. 2022

Sci Rep

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Exposure to certain monochromatic wavelengths can affect non-visual brain regions. Growing research indicates that exposure to light can have a positive impact on health-related problems such as spring asthenia, circadian rhythm disruption, and even bipolar disorders and Alzheimer’s. However, the extent and location of changes in brain areas caused by exposure to monochromatic light remain largely unknown. This pilot study (N = 7) using resting-state functional magnetic resonance shows light-dependent functional connectivity patterns on brain networks. We demonstrated that 1 min of blue, green, or red light exposure modifies the functional connectivity (FC) of a broad range of visual and non-visual brain regions. Largely, we observed: (i) a global decrease in FC in all the networks but the salience network after blue light exposure, (ii) a global increase in FC after green light exposure, particularly noticeable in the left hemisphere, and (iii) a decrease in FC on attentional networks coupled with a FC increase in the default mode network after red light exposure. Each one of the FC patterns appears to be best arranged to perform better on tasks associated with specific cognitive domains. Results can be relevant for future research on the impact of light stimulation on brain function and in a variety of health disciplines.

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“…In glioma, functional MRI-based connectivity of the frontoparietal network (FPN) is relevant for EF (Kocher et al, 2020;Landers et al, 2021;Maesawa et al, 2015;Noll et al, 2015Noll et al, , 2021Tordjman et al, 2021). Using magnetoencephalography (MEG), frequency-specific connectivity has also been linked to EF in these patients: poorer EF at diagnosis relates to lower alpha band (8-13Hz) functional connectivity (Derks et al, 2019), and particularly lower integrative connectivity in the theta (4-8Hz), alpha, and beta (13-30Hz) bands associate with poorer EF cross-sectionally (Bosma et al, 2009) and longitudinally (Carbo et al, 2017;van Dellen et al, 2012a).…”

Section: Introductionmentioning

confidence: 99%

The longitudinal relation between executive functioning and multilayer network topology in glioma patients

Lingen

Breedt

Geurts

et al. 2022

Preprint

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Many patients with glioma, primary brain tumors, suffer from poorly understood executive functioning deficits before and/or after tumor resection. We aimed to test whether frontoparietal network centrality of multilayer networks, which allow for integration across multiple frequencies, relates to and predicts executive functioning in glioma patients before and after tumor resection. Patients with glioma (n = 37) underwent neuropsychological tests assessing word fluency, inhibition, and set shifting, and resting-state magnetoencephalography before tumor resection (T1) and one year after resection (T2). We constructed binary multilayer networks comprising six layers, with each layer representing frequency-specific functional connectivity (phase lag index) between source-localized time series of 78 cortical regions. Average frontoparietal network multilayer eigenvector centrality, a measure for network integration, was calculated at both time points. Regression analyses were used to investigate its associations with executive functioning.At T1, lower multilayer integration (p = 0.017) and having epilepsy (p = 0.006) associated with poorer set shifting (adj. R2 = 0.269). Decreasing multilayer integration (p = 0.022) and not undergoing chemotherapy at T2 (p = 0.004) related to deteriorating set shifting (adj. R2 = 0.283). No significant associations were found for word fluency or inhibition, nor did T1 multilayer integration predict changes in executive functioning. As expected, our results establish multilayer integration of the frontoparietal network as a cross-sectional and longitudinal correlate of executive functioning in glioma patients. However, multilayer integration did not significantly predict postoperative changes in executive functioning, limiting its direct clinical relevance.

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Functional connectivity of the default mode, dorsal attention and fronto-parietal executive control networks in glial tumor patients

Cited by 20 publications

References 47 publications

Altered Structural and Functional Patterns Within Executive Control Network Distinguish Frontal Glioma-Related Epilepsy

Altered Structural and Functional Patterns Within Executive Control Network Distinguish Frontal Glioma-Related Epilepsy

Functional connectivity of brain networks with three monochromatic wavelengths: a pilot study using resting-state functional magnetic resonance imaging

The longitudinal relation between executive functioning and multilayer network topology in glioma patients

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