Sex hormones shape EEG-based functional connectivity in early-stage Parkinson’s disease patients

Parkinson's disease (PD) epidemiology and clinical features are sexually dimorphic. However, there are no data based on EEG functional connectivity (FC). Likewise, the contribution of sex hormones on brain FC has never been evaluated. Here, we aimed to investigate the association between biological sex and sex hormones on cortical FC changes in PD using high-density EEG. This study involved 69 early-stage PD patients (F/M 27/42) and 69 age-matched healthy controls (HC) (F/M 30/39). Sex hormone levels (total-testosterone (TT), estradiol (E2), follicle-stimulating hormone (FSH), and luteinizing hormone (LH)) were assessed in PD patients. Data were recorded with a 64-channel EEG system. Source reconstruction method was used to identify brain activity. Cortico-cortical FC was analysed based on the weighted phase-lag index (wPLI) in θ-α-β-low γ bands. Network-based statistic (NBS) was used to compare FC between genders in HC and PD and to study the relationship between FC and sex hormones in PD. PD exhibited a hypoconnected network at θ and α bands and a hyperconnected network at β band compared to HC. Male HC showed a hyperconnected network at α-band compared to female HC. Conversely, males with PD showed a hypoconnected network at α-band compared to females with PD. In females and males with PD, E2 positively correlated with α-FC, while gonadotropins positively correlated with β-FC. TT positively correlated with the θ-FC only in males. Sex hormones shape EEG-FC in both males and females with PD, supporting their major influence on PD pathophysiology.

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Publication Details

Journal
NeuroImage Clinical
Published
2024-12-06
DOI
https://doi.org/10.1016/j.nicl.2024.103721
Citations
7
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
2.40

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article

Sex hormones shape EEG-based functional connectivity in early-stage Parkinson’s disease patients

Francesca Di Giuliano, Clara Simonetta, Mariangela Pierantozzi, Tommaso Schirinzi et al.
7 citations
NeuroImage Clinical
EEG and Brain-Computer Interfaces
2.40
article

Sex hormones shape EEG-based functional connectivity in early-stage Parkinson’s disease patients

Francesca Di Giuliano, Clara Simonetta, Mariangela Pierantozzi, Tommaso Schirinzi, Matteo Conti, Jacopo Bissacco, Rocco Cerroni, Valerio Ferrari, Roberta Bovenzi, Alessandro Stefani, Nicola Biagio Mercuri, Claudio Liguori
article en
7 citations

Abstract

Parkinson's disease (PD) epidemiology and clinical features are sexually dimorphic. However, there are no data based on EEG functional connectivity (FC). Likewise, the contribution of sex hormones on brain FC has never been evaluated. Here, we aimed to investigate the association between biological sex and sex hormones on cortical FC changes in PD using high-density EEG. This study involved 69 early-stage PD patients (F/M 27/42) and 69 age-matched healthy controls (HC) (F/M 30/39). Sex hormone levels (total-testosterone (TT), estradiol (E2), follicle-stimulating hormone (FSH), and luteinizing hormone (LH)) were assessed in PD patients. Data were recorded with a 64-channel EEG system. Source reconstruction method was used to identify brain activity. Cortico-cortical FC was analysed based on the weighted phase-lag index (wPLI) in θ-α-β-low γ bands. Network-based statistic (NBS) was used to compare FC between genders in HC and PD and to study the relationship between FC and sex hormones in PD. PD exhibited a hypoconnected network at θ and α bands and a hyperconnected network at β band compared to HC. Male HC showed a hyperconnected network at α-band compared to female HC. Conversely, males with PD showed a hypoconnected network at α-band compared to females with PD. In females and males with PD, E2 positively correlated with α-FC, while gonadotropins positively correlated with β-FC. TT positively correlated with the θ-FC only in males. Sex hormones shape EEG-FC in both males and females with PD, supporting their major influence on PD pathophysiology.

NeuroImage ClinicalVol. 45
University of Rome Tor Vergata (IT)
Istituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro
Openalex Percentile: Top 11%
EEG and Brain-Computer Interfaces
2.40
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