To the editor:Insomnia disorder has a serious and widespread detrimental effect on humans with comorbidity with other mental or physical health problems.In recent years,noninvasive brain stimulation(NIBS)techniques,es...To the editor:Insomnia disorder has a serious and widespread detrimental effect on humans with comorbidity with other mental or physical health problems.In recent years,noninvasive brain stimulation(NIBS)techniques,especially transcranial magnetic stimulation(TMS)and transcranial electrical stimulation,have been increasingly used for the treatment of brain diseases,including insomnia disorder.展开更多
Background Insomnia disorder(ID)is one of the most common mental disorders.Research on ID focuses on exploring its mechanism of disease,novel treatments and treatment outcome prediction.An emerging technique in this f...Background Insomnia disorder(ID)is one of the most common mental disorders.Research on ID focuses on exploring its mechanism of disease,novel treatments and treatment outcome prediction.An emerging technique in this field is the use of electroencephalography(EEG)microstates,which offer a new method of EEG feature extraction that incorporates information from both temporal and 6/spatial dimensions.Aims To explore the electrophysiological mechanisms of repetitive transcranial magnetic stimulation(rTMS)for ID treatment and use baseline microstate metrics for the prediction of its efficacy.Methods This study included 60 patients with ID and 40 age-matched and gender-matched good sleep controls(GSC).Their resting-state EEG microstates were analysed,and the Pittsburgh Sleep Quality Index(PSQI)and polysomnography(PSG)were collected to assess sleep quality.The 60 patients with ID were equally divided into active and sham groups to receive rTMS for 20 days to test whether rTMS had a moderating effect on abnormal microstates in patients with ID.Furthermore,in an independent group of 90 patients with ID who received rTMS treatment,patients were divided into optimal and suboptimal groups based on their median PSQI reduction rate.Baseline EEG microstates were used to build a machine-learning predictive model for the effects of rTMS treatment.Results The class D microstate was less frequent and contribute in patients with ID,and these abnormalities were associated with sleep onset latency as measured by PSG.Additinally,the abnormalities were partially reversed to the levels observed in the GSC group following rTMS treatment.The baseline microstate characteristics could predict the therapeutic effect of ID after 20 days of rTMS,with an accuracy of 80.13%.Conclusions Our study highlights the value of EEG microstates as functional biomarkers of ID and provides a new perspective for studying the neurophysiological mechanisms of ID.In addition,we predicted the therapeutic effect of rTMS on ID based on the baseline microstates of patients with ID.This finding carries great practical significance for the selection of therapeutic options for patients with ID.展开更多
Addiction is a chronic and often relapsing brain disorder characterized by drug abuse and withdrawal symptoms and compulsive drug seeking(Koob and Volkow,2010)when access to the drug is restricted.Addiction leads to s...Addiction is a chronic and often relapsing brain disorder characterized by drug abuse and withdrawal symptoms and compulsive drug seeking(Koob and Volkow,2010)when access to the drug is restricted.Addiction leads to structural and functional brain changes implicated in reward,memory,motivation,and control(Volkow et al.,2019;Lüscher et al.,2020).展开更多
To the editor:It is commonly reported that people with insomnia often experience comorbid emotional disorders,such as mood and anxiety disorders.12 A study found that fragmented rapid eye movement(REM)sleep in individ...To the editor:It is commonly reported that people with insomnia often experience comorbid emotional disorders,such as mood and anxiety disorders.12 A study found that fragmented rapid eye movement(REM)sleep in individuals with insomnia is associated with higher Beck Depression Inventory(BDI)scores.3 REM sleep architecture disruption is a typical symptom of insomnia.展开更多
基金the National Natural Science Foundation of China(81871426,81871430,82260359,U22A20303)Hebei Provincial Natural Science Foundation(H2020206263,H2020206625)STI2030-Major Projects Program(2022ZD0214500).
文摘To the editor:Insomnia disorder has a serious and widespread detrimental effect on humans with comorbidity with other mental or physical health problems.In recent years,noninvasive brain stimulation(NIBS)techniques,especially transcranial magnetic stimulation(TMS)and transcranial electrical stimulation,have been increasingly used for the treatment of brain diseases,including insomnia disorder.
基金supported by the National Natural Science Foundation of China(Grant Nos.82371500,82260359,U22A20303)Hebei Provincial Natural Science Foundation(H2020206625,H2020206263)+2 种基金STI2030:2022ZD0214500,National Key Research and Development Program of Hunan Province(2021SK2023)Natural Science Foundation of Inner Mongolia 2021MS08014,2023QN08007,Hunan Provincial Natural Science Foundation of China(Grant No.2023JJ30412)the Fundamental Research Funds for the Central Universities(Grant No.QTZX23094).
文摘Background Insomnia disorder(ID)is one of the most common mental disorders.Research on ID focuses on exploring its mechanism of disease,novel treatments and treatment outcome prediction.An emerging technique in this field is the use of electroencephalography(EEG)microstates,which offer a new method of EEG feature extraction that incorporates information from both temporal and 6/spatial dimensions.Aims To explore the electrophysiological mechanisms of repetitive transcranial magnetic stimulation(rTMS)for ID treatment and use baseline microstate metrics for the prediction of its efficacy.Methods This study included 60 patients with ID and 40 age-matched and gender-matched good sleep controls(GSC).Their resting-state EEG microstates were analysed,and the Pittsburgh Sleep Quality Index(PSQI)and polysomnography(PSG)were collected to assess sleep quality.The 60 patients with ID were equally divided into active and sham groups to receive rTMS for 20 days to test whether rTMS had a moderating effect on abnormal microstates in patients with ID.Furthermore,in an independent group of 90 patients with ID who received rTMS treatment,patients were divided into optimal and suboptimal groups based on their median PSQI reduction rate.Baseline EEG microstates were used to build a machine-learning predictive model for the effects of rTMS treatment.Results The class D microstate was less frequent and contribute in patients with ID,and these abnormalities were associated with sleep onset latency as measured by PSG.Additinally,the abnormalities were partially reversed to the levels observed in the GSC group following rTMS treatment.The baseline microstate characteristics could predict the therapeutic effect of ID after 20 days of rTMS,with an accuracy of 80.13%.Conclusions Our study highlights the value of EEG microstates as functional biomarkers of ID and provides a new perspective for studying the neurophysiological mechanisms of ID.In addition,we predicted the therapeutic effect of rTMS on ID based on the baseline microstates of patients with ID.This finding carries great practical significance for the selection of therapeutic options for patients with ID.
基金supported by the National Natural Science Foun-dation of China (Grant Nos.82260359,U22A20303)STI2030:2022ZD0214500.
文摘Addiction is a chronic and often relapsing brain disorder characterized by drug abuse and withdrawal symptoms and compulsive drug seeking(Koob and Volkow,2010)when access to the drug is restricted.Addiction leads to structural and functional brain changes implicated in reward,memory,motivation,and control(Volkow et al.,2019;Lüscher et al.,2020).
基金This work is supported by the National Natural Science Foundation of China(grant/award numbers:81871430,81871426,U22A20303,82260359)Hebei Provincial Natural Science Foundation(grant/award numbers:H2020206263,H2020206625)STI2030-Major Projects Program(grant/award number:2022ZD0214500).
文摘To the editor:It is commonly reported that people with insomnia often experience comorbid emotional disorders,such as mood and anxiety disorders.12 A study found that fragmented rapid eye movement(REM)sleep in individuals with insomnia is associated with higher Beck Depression Inventory(BDI)scores.3 REM sleep architecture disruption is a typical symptom of insomnia.