Functional connectivity of spoken language processing in early-stage Parkinson’s disease: An MEG study

Hyder, Rasha; Jensen, Mads; Højlund, Andreas; Kimppa, Lilli; Bailey, Christopher J.; Schaldemose, Jeppe L.; Kinnerup, Martin B.; Østergaard, Karen; Shtyrov, Yury

doi:10.1016/j.nicl.2021.102718

Cited by 17 publications

(13 citation statements)

References 105 publications

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“…Our data show that beta-band functional connectivity between the LIFC and prefrontal, frontal, and parietal somatomotor regions was negatively associated with speech impairments in patients. Substantial structural and functional connectivity effects have been reported between these regions 97,98 , and functional connectivity between LIFC and superior frontal regions during speech comprehension is reduced in PD 99,100 . Previous studies have also reported increased beta-band connectivity in patients with PD 67 , with indications of clinical significance, although it is still unclear if the relationship is one of impairment 101,102 or compensation 72,[103][104][105] .…”

Section: Discussionmentioning

confidence: 99%

Aberrant neurophysiological signaling associated with speech impairments in Parkinson’s disease

Wiesman

Donhauser

Degroot

et al. 2023

npj Parkinsons Dis.

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Difficulty producing intelligible speech is a debilitating symptom of Parkinson’s disease (PD). Yet, both the robust evaluation of speech impairments and the identification of the affected brain systems are challenging. Using task-free magnetoencephalography, we examine the spectral and spatial definitions of the functional neuropathology underlying reduced speech quality in patients with PD using a new approach to characterize speech impairments and a novel brain-imaging marker. We found that the interactive scoring of speech impairments in PD (N = 59) is reliable across non-expert raters, and better related to the hallmark motor and cognitive impairments of PD than automatically-extracted acoustical features. By relating these speech impairment ratings to neurophysiological deviations from healthy adults (N = 65), we show that articulation impairments in patients with PD are associated with aberrant activity in the left inferior frontal cortex, and that functional connectivity of this region with somatomotor cortices mediates the influence of cognitive decline on speech deficits.

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Section: Discussionmentioning

confidence: 99%

Aberrant neurophysiological signaling associated with speech impairments in Parkinson’s disease

Wiesman

Donhauser

Degroot

et al. 2023

npj Parkinsons Dis.

View full text Add to dashboard Cite

show abstract

“…Our data show that beta-band functional connectivity between the LIFC and prefrontal, frontal, and parietal somatomotor regions was negatively associated with speech impairments in patients. Substantial structural and functional connectivity effects have been reported between these regions 71,72 , and functional connectivity between LIFC and superior frontal regions during speech comprehension is reduced in PD 73,74 . Previous studies have also reported increased beta connectivity in patients with PD 47 , with indications of clinical significance, although it is still unclear if the relationship is one of pathology 75,76 or compensation [77][78][79][80] .…”

Section: Discussionmentioning

confidence: 99%

Aberrant neurophysiological signaling underlies speech impairments in Parkinson’s disease

Wiesman

Donhauser

Degroot

et al. 2022

Preprint

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Difficulty producing intelligible speech is a common and debilitating symptom of Parkinson's disease (PD). Yet, both the robust evaluation of speech impairments and the identification of the affected brain systems are challenging. We examine the spectral and spatial definitions of the functional neuropathology underlying reduced speech quality in patients with PD using a new approach to characterize speech impairments and a novel brain-imaging marker. We found that the interactive scoring of speech impairments in PD (N=59) is reliable across non-expert raters, and better related to the hallmark motor and cognitive impairments of PD than automatically-extracted acoustical features. By relating these speech impairment ratings to neurophysiological deviations from healthy adults (N=65), we show that articulation impairments in patients with PD are robustly predicted from aberrant activity in the left inferior frontal cortex, and that functional connectivity of this region with somatomotor cortices mediates the influence of cognitive decline on speech deficits.

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“…It was previously described that different kinds of neurological disorders, such as brain tumors lead to deviations in the brain’s functional network (Cho et al, 2021; D’Souza et al, 2021; Huang et al, 2014; Hyder et al, 2021; Na et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…It was previously described that different kinds of neurological disorders, such as brain tumors lead to deviations in the brain’s functional network (Bartolomei et al, 2006; Cho et al, 2021; De Baene et al, 2017; Derks et al, 2021, 2019; D’Souza et al, 2021; Douw et al, 2013; Huang et al, 2014; Hyder et al, 2021; Na et al, 2018; van Dellen et al, 2012; Wang et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

“…Network changes, i.e., could be the cause or consequence of diseases. It might be lesions, like brain tumors, or pathological processes, like in Alzheimer’s/ Parkinson’s Disease or Epilepsy, that provoke alterations in functional networks (Douw et al, 2015; Engels et al, 2017; Hyder et al, 2021). Conversely, the distortion of the network could also generate the symptoms, or rather the diseases themselves.…”

Section: Introductionmentioning

confidence: 99%

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Network topology in brain tumor patients with and without structural epilepsy- a prospective MEG-study

Ladisich

Rampp

Trinka

et al. 2022

Preprint

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It has been proposed that functional connectivity (FC) and network topology (NT) are altered in patients with glial brain tumors. So far there is no consensus on the pattern of these changes, furthermore data on FC in patients with brain metastases (BM) as well as on the presence and absence of tumor-related epilepsy is lacking. We aimed to analyze preoperative NT of newly diagnosed, singular, supratentorial glial brain tumors (GBT) and BMs with and without structural epilepsy. FC and NT derived from resting state magnetoencephalography (MEG) were compared between patients (PAs) and matched healthy controls (HCs), between GBTs and BMs as well as between patients with and without structural epilepsy. We investigated all patients, who met our inclusion criteria from February 2019 to March 2021. Clinical data was collected from patients electronic medical charts. We analyzed whole brain (wb) connectivity in six frequency bands, calculated three different network topological parameters (node degree (ND), shortest path length (L), clustering coefficient (CC)) and performed a stratification, where differences in the power were to be found. For data analysis we used Fieldtrip, Brain Connectivity Matlab toolboxes and in-house built scripts. We consecutively included 41 patients (21 men), mean age 60.1ys (range 23- 82), who were operated on at our institution. Tumor histology included high-grade gliomas (n=18), low-grade gliomas (n=4), dysembryoplastic neuroepithelial tumor (DNET, n=1), BMs (n=14) and others (n=4). Statistical analysis revealed a significant decrease for wb ND in patients compared to healthy controls in every frequency range analyzed at the descriptive and corrected level (p1-30Hz=0.002, p(gamma)=0.002, p(beta)=0.002, p(alpha)=0.002, p(theta)=0.024, p(delta)=0.002). Furthermore, at the descriptive level, we found a significant augmentation for wb CC (p1-30Hz=0.031, p(delta)=0.013) in PAs compared to HCs, which did not persist the false discovery rate (FDR) correction. There were no differences in the networks of glial brain tumors and metastases identified. However, we found a significant increase in wb CC in patients with structural epilepsy (p(theta)= 0.048), and significantly lower wb ND (p(alpha)= 0.039) at the uncorrected level. Our data suggests that network topology is altered in brain tumor patients, which is in line with previous studies. Tumor histology per se might not influence the brain s functional network, however, tumor-related epilepsy seems to do so. Longitudinal studies and in-depth analysis of possible factors and confounders might be helpful to further substantiate these findings.

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Functional connectivity of spoken language processing in early-stage Parkinson’s disease: An MEG study

Cited by 17 publications

References 105 publications

Aberrant neurophysiological signaling associated with speech impairments in Parkinson’s disease

Aberrant neurophysiological signaling associated with speech impairments in Parkinson’s disease

Aberrant neurophysiological signaling underlies speech impairments in Parkinson’s disease

Network topology in brain tumor patients with and without structural epilepsy- a prospective MEG-study

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