Literature DB >> 32220503

Slow wave oscillations in Schizophrenia First-Degree Relatives: A confirmatory analysis and feasibility study on slow wave traveling.

Anna Castelnovo1, Matteo Zago2, Cecilia Casetta3, Caroline Zangani4, Francesco Donati4, Mariapaola Canevini4, Brady A Riedner5, Giulio Tononi5, Fabio Ferrarelli6, Simone Sarasso7, Armando D'Agostino8.   

Abstract

Abnormal sleep oscillations have recently been proposed as endophenotypes of schizophrenia. However, optimization of methodological approaches is still necessary to standardize analyses of their microstructural characteristics. Additionally, some relevant features of these oscillations remain unexplored in pathological conditions. Among others, slow wave traveling is a promising proxy for diurnal processes of brain connectivity and excitability. The study of slow oscillations propagation appears particularly relevant when schizophrenia is conceptualized as a dys-connectivity syndrome. Given the rising knowledge on the neurobiological mechanisms underlying slow wave traveling, this measure might offer substantial advantages over other approaches in investigating brain connectivity. Herein we: 1) confirm the stability of our previous findings on slow waves and sleep spindles in FDRs using different automated algorithms, and 2) report the dynamics of slow wave traveling in FDRs of Schizophrenia patients. A 256-channel, high-density EEG system was employed to record a whole night of sleep of 16 FDRs and 16 age- and gender-matched control subjects. A recently developed, open source toolbox was used for slow wave visualization and detection. Slow waves were confirmed to be significantly smaller in FDRs compared to the control group. Additionally, several traveling parameters were analyzed. Traveled distances were found to be significantly reduced in FDRs, whereas origins showed a different topographical pattern of distribution from control subjects. In contrast, local speed did not differ between groups. Overall, these results suggest that slow wave traveling might be a viable method to study pathological conditions interfering with brain connectivity.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; Dysconnectivity; EEG toolbox; First-degree relatives; Psychosis; Sleep oscillations; Thalamus

Mesh:

Year:  2020        PMID: 32220503     DOI: 10.1016/j.schres.2020.03.025

Source DB:  PubMed          Journal:  Schizophr Res        ISSN: 0920-9964            Impact factor:   4.939


  4 in total

1.  Sleep disturbances in schizophrenia and psychosis.

Authors:  Fabio Ferrarelli
Journal:  Schizophr Res       Date:  2020-05-26       Impact factor: 4.939

2.  Alterations in TRN-anterodorsal thalamocortical circuits affect sleep architecture and homeostatic processes in oxidative stress vulnerable Gclm-/- mice.

Authors:  Christina Czekus; Pascal Steullet; Albert Orero López; Ivan Bozic; Thomas Rusterholz; Mojtaba Bandarabadi; Kim Q Do; Carolina Gutierrez Herrera
Journal:  Mol Psychiatry       Date:  2022-07-28       Impact factor: 13.437

3.  EEG Activation Does Not Differ in Simple and Complex Episodes of Disorders of Arousal: A Spectral Analysis Study.

Authors:  Greta Mainieri; Giuseppe Loddo; Anna Castelnovo; Giulia Balella; Rosalia Cilea; Susanna Mondini; Mauro Manconi; Federica Provini
Journal:  Nat Sci Sleep       Date:  2022-06-07

4.  Sleep Power Topography in Children with Attention Deficit Hyperactivity Disorder (ADHD).

Authors:  Anna Castelnovo; Althea Lividini; Giulio Bernardi; Valdo Pezzoli; Giuseppe Foderaro; Gian Paolo Ramelli; Mauro Manconi; Silvia Miano
Journal:  Children (Basel)       Date:  2022-02-03
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.