EEG resting state alpha dynamics predict an individual's vulnerability to auditory hallucinations

被引:1
作者
Honcamp, H. [1 ]
Duggirala, S. X. [1 ,5 ]
Climent, J. Rodino [2 ]
Astudillo, A. [3 ]
Trujillo-Barreto, N. J. [4 ]
Schwartze, M. [1 ]
Linden, D. E. J. [5 ]
van Amelsvoort, T. A. M. J. [5 ]
El-Deredy, W. [6 ]
Kotz, S. A. [1 ]
机构
[1] Maastricht Univ, Fac Psychol & Neurosci, Dept Neuropsychol & Psychopharmacol, Univ Singel 40, NL-6229 ER Maastricht, Netherlands
[2] Univ Valparaiso, Brain Dynam Lab, Valparaiso, Chile
[3] Western Sydney Univ, NICM Hlth Res Inst, Penrith, NSW, Australia
[4] Univ Manchester, Sch Hlth Sci, Manchester, England
[5] Maastricht Univ, Sch Mental Hlth & Neurosci, Dept Psychiat & Neuropsychol, Med Ctr, Maastricht, Netherlands
[6] Univ Valparaiso, Ctr Invest & Desarrollo Ingn Salud, Valparaiso, Chile
基金
英国工程与自然科学研究理事会;
关键词
Alpha; EEG resting state; Hallucination proneness; Hidden semi-Markov modeling; Risk assessment; Temporal dynamics; VERBAL HALLUCINATIONS; FUNCTIONAL CONNECTIVITY; NETWORKS; BRAIN; OSCILLATIONS; CORTEX; SCHIZOPHRENIA; PSYCHOSIS; MISATTRIBUTION; STIMULATION;
D O I
10.1007/s11571-024-10093-1
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Task-free brain activity exhibits spontaneous fluctuations between functional states, characterized by synchronized activation patterns in distributed resting-state (RS) brain networks. The temporal dynamics of the networks' electrophysiological signatures reflect individual variations in brain activity and connectivity linked to mental states and cognitive functions and can predict or monitor vulnerability to develop psychiatric or neurological disorders. In particular, RS alpha fluctuations modulate perceptual sensitivity, attentional shifts, and cognitive control, and could therefore reflect a neural correlate of increased vulnerability to sensory distortions, including the proneness to hallucinatory experiences. We recorded 5 min of RS EEG from 33 non-clinical individuals varying in hallucination proneness (HP) to investigate links between task-free alpha dynamics and vulnerability to hallucinations. To this end, we used a dynamic brain state allocation method to identify five recurrent alpha states together with their spatiotemporal dynamics and most active brain areas through source reconstruction. The dynamical features of a state marked by activation in somatosensory, auditory, and posterior default-mode network areas predicted auditory and auditory-verbal HP, but not general HP, such that individuals with higher vulnerability to auditory hallucinations spent more time in this state. The temporal dynamics of spontaneous alpha activity might reflect individual differences in attention to internally generated sensory events and altered auditory perceptual sensitivity. Altered RS alpha dynamics could therefore instantiate a neural marker of increased vulnerability to auditory hallucinations.
引用
收藏
页码:2405 / 2417
页数:13
相关论文
共 50 条
  • [41] Resting-state functional connectivity in medication-naive schizophrenia patients with and without auditory verbal hallucinations: A preliminary report
    Chang, Xiao
    Collin, Guusje
    Xi, Yibin
    Cui, Longbiao
    Scholtens, Lianne H.
    Sommer, Iris E.
    Wang, Huaning
    Yin, Hong
    Kahn, Rene S.
    van den Heuvel, Martijn P.
    [J]. SCHIZOPHRENIA RESEARCH, 2017, 188 : 75 - 81
  • [42] Predicting individual decision-making responses based on the functional connectivity of resting-state EEG
    Si, Yajing
    Jiang, Lin
    Tao, Qin
    Chen, Chunli
    Li, Fali
    Jiang, Yuanling
    Zhang, Tao
    Cao, Xianyu
    Wan, Feng
    Yao, Dezhong
    Xu, Peng
    [J]. JOURNAL OF NEURAL ENGINEERING, 2019, 16 (06)
  • [43] COMT polymorphism modulates the resting-state EEG alpha oscillatory response to acute nicotine in male non-smokers
    Bowers, H.
    Smith, D.
    de la Salle, S.
    Choueiry, J.
    Impey, D.
    Philippe, T.
    Dort, H.
    Millar, A.
    Daigle, M.
    Albert, P. R.
    Beaudoin, A.
    Knott, V.
    [J]. GENES BRAIN AND BEHAVIOR, 2015, 14 (06) : 466 - 476
  • [44] Exploring foreign language anxiety and resting-state EEG alpha asymmetry
    Kelsen, Brent
    Czeszumski, Artur
    Liang, Sophie Hsin-Yi
    Pei, Yu-Cheng
    Hung, June
    Chan, Hsiao-Lung
    Yeh, Hsuan-Wen
    [J]. BRAIN AND LANGUAGE, 2025, 261
  • [45] Reduced alpha and exaggerated theta power during the resting-state EEG in fragile X syndrome
    Van der Molen, Melle J. W.
    Van der Molen, Maurits W.
    [J]. BIOLOGICAL PSYCHOLOGY, 2013, 92 (02) : 216 - 219
  • [46] Transient spectral events in resting state MEG predict individual task responses
    Becker, R.
    Vidaurre, D.
    Quinn, A. J.
    Abeysuriya, R. G.
    Jones, O. Parker
    Jbabdi, S.
    Woolrich, M. W.
    [J]. NEUROIMAGE, 2020, 215
  • [47] Resting-State EEG Alpha Rhythms Are Related to CSF Tau Biomarkers in Prodromal Alzheimer's Disease
    Del Percio, Claudio
    Lizio, Roberta
    Lopez, Susanna
    Noce, Giuseppe
    Carpi, Matteo
    Jakhar, Dharmendra
    Soricelli, Andrea
    Salvatore, Marco
    Yener, Goersev
    Guntekin, Bahar
    Massa, Federico
    Arnaldi, Dario
    Fama, Francesco
    Pardini, Matteo
    Ferri, Raffaele
    Carducci, Filippo
    Lanuzza, Bartolo
    Stocchi, Fabrizio
    Vacca, Laura
    Coletti, Chiara
    Marizzoni, Moira
    Taylor, John Paul
    Hanoglu, Lutfu
    Yilmaz, Nesrin Helvaci
    Kiyi, Ilayda
    Ozbek-Isbitiren, Yagmur
    D'Anselmo, Anita
    Bonanni, Laura
    Biundo, Roberta
    D'Antonio, Fabrizia
    Bruno, Giuseppe
    Antonini, Angelo
    Giubilei, Franco
    Farotti, Lucia
    Parnetti, Lucilla
    Frisoni, Giovanni B.
    Babiloni, Claudio
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2025, 26 (01)
  • [48] Anxiety in Parkinson?s disease: A resting-state high density EEG study
    Betrouni, Nacim
    Alazard, Edouard
    Bayot, Madli
    Carey, Guillaume
    Derambure, Philippe
    Defebvre, Luc
    Leentjens, Albert Fg
    Delval, Arnaud
    Dujardin, Kathy
    [J]. NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY, 2022, 52 (03): : 202 - 211
  • [49] Predicting individual muscle fatigue tolerance by resting-state EEG brain network *
    Li, Zhiwei
    Yi, Chanlin
    Chen, Chunli
    Liu, Chen
    Zhang, Shu
    Li, Shunchang
    Gao, Dongrui
    Cheng, Liang
    Zhang, Xiabing
    Sun, Junzhi
    He, Ying
    Xu, Peng
    [J]. JOURNAL OF NEURAL ENGINEERING, 2022, 19 (04)
  • [50] Resting-state EEG network variability predicts individual working memory behavior
    Chen, Chunli
    Xu, Shiyun
    Zhou, Jixuan
    Yi, Chanlin
    Yu, Liang
    Yao, Dezhong
    Zhang, Yangsong
    Li, Fali
    Xu, Peng
    [J]. NEUROIMAGE, 2025, 310