1
|
Barnard-Brak L. Parental Report of Remission in ADHD: Results From a Community-Based, Nationally Representative Sample. J Atten Disord 2024; 28:1340-1344. [PMID: 38166450 DOI: 10.1177/10870547231219005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
OBJECTIVE Various studies have examined rates of remission in ADHD with mixed results. METHOD Survival curve analyses were performed on a community-based sample. RESULTS The results of the current study appear to support the contemporary literature that rates of remission in ADHD are lower than have been found in many earlier studies. The current study also reports a mean age of remission in ADHD of around 14 years old, which has not been previously reported via survival curve analyses. Additionally, the results of the current study found several variables to be significantly associated with remission in ADHD which included: the presence of comorbid disorder; lower symptoms of ADHD; sex of the child (being female); and the receipt of behavioral treatment. CONCLUSION Implications and limitations are discussed as related to these findings.
Collapse
|
2
|
Wu G, Zhao X, Luo X, Li H, Chen Y, Dang C, Sun L. Microstate dynamics and spectral components as markers of persistent and remittent attention-deficit/hyperactivity disorder. Clin Neurophysiol 2024; 161:147-156. [PMID: 38484486 DOI: 10.1016/j.clinph.2024.02.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 02/06/2024] [Accepted: 02/26/2024] [Indexed: 04/28/2024]
Abstract
OBJECTIVE We leveraged microstate characteristics and power features to examine temporal and spectral deviations underlying persistent and remittent attention-deficit/hyperactivity disorder (ADHD). METHODS 50 young adults with childhood ADHD (28 persisters, 22 remitters) and 28 demographically similar healthy controls (HC) were compared on microstates features and frequency principal components (f-PCs) of eye-closed resting state. Support vector machine model with sequential forward selection (SVM-SFS) was utilized to discriminate three groups. RESULTS Four microstates and four comparable f-PCs were identified. Compared to HC, ADHD persisters showed prolonged duration in microstate C, elevated power of the delta component (D), and compromised amplitude of the two alpha components (A1 and A2). Remitters showed increased duration and coverage of microstate C, together with decreased activity of D, relatively intact amplitude of A1, and amplitude reduction in A2. The SVM-SFS algorithm achieved an accuracy of 93.59% in classifying persisters, remitters and controls. The most discriminative features selected were those exhibiting group differences. CONCLUSIONS We found widespread anomalies in ADHD persisters in brain dynamics and intrinsic EEG components. Meanwhile, the neural features in remitters exhibited multiple patterns. SIGNIFICANCE This study underlines the use of microstate dynamics and spectral components as potential markers of persistent and remittent ADHD.
Collapse
Affiliation(s)
- GuiSen Wu
- Peking University Sixth Hospital, Institute of Mental Health, Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - XiXi Zhao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - XiangSheng Luo
- Peking University Sixth Hospital, Institute of Mental Health, Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Hui Li
- Peking University Sixth Hospital, Institute of Mental Health, Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - YanBo Chen
- Peking University Sixth Hospital, Institute of Mental Health, Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Chen Dang
- Peking University Sixth Hospital, Institute of Mental Health, Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Li Sun
- Peking University Sixth Hospital, Institute of Mental Health, Beijing 100191, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
| |
Collapse
|
3
|
Huang G, Han C, Yang J, Ye C, Javed I, Liu F, Kong Z, Li Y, Zhu Y, Yi G, Ju C, Jia X, Yang M. Neural basis of the attention bias during addiction stroop task in methamphetamine-dependent patients with and without a history of psychosis: an ERP study. Front Psychol 2023; 14:1173711. [PMID: 37359853 PMCID: PMC10288148 DOI: 10.3389/fpsyg.2023.1173711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 05/16/2023] [Indexed: 06/28/2023] Open
Abstract
Background Attentional bias plays an important role in sustaining various types of drug addiction. No prior studies examined methamphetamine (MA)-associated psychosis (MAP) relationships between ERP time course and performance on an addiction Stroop task in MA abusers. The aim of the present study was to determine whether MA abusers with (MAP+) or without (MAP-) psychosis exhibit alterations of the ERP during the addiction Stroop task. Methods Thirty-one healthy controls (CTRL), 14 MAP-, and 24 MAP+ participants were recruited and completed the addiction Stroop task during EEG recording using 32 electrodes. Group variations were compared on measures of behavioral task performance and event-related potentials (ERP) of performance monitoring (N200, P300, N450). The Barratt impulsiveness scores were analyzed to investigate correlations with ERP changes. Results MA-related word stimulus elicited a more negative N200 amplitude over left-anterior electrodes in MAP- abusers; furthermore, a positive association between the N200 amplitude and Barratt attentional scores and non-planning scores was observed, while no such differences were found in MAP+ abusers. There were no significant differences in reaction time (RT) and error rate between each group. Conclusion This is the first study to examine psychosis relationships between ERP time course and performance on an addiction Stroop task in MA abusers with or without psychosis. These findings support the association between attentional bias measured by the MA addiction Stroop task and N200 component as well as indicate the possibility of using this cognitive task in combination with ERP technology to detect psychosis factors among abstinent MA abusers.
Collapse
Affiliation(s)
- Gengdi Huang
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen, China
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, the School of Mental Health of Southern University of Science and Technology, Shenzhen University, Anhui Medical University, and Jining Medical College, Shenzhen, China
| | - Chuanliang Han
- Shenzhen Key Laboratory of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Jihui Yang
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, the School of Mental Health of Southern University of Science and Technology, Shenzhen University, Anhui Medical University, and Jining Medical College, Shenzhen, China
| | - Caihong Ye
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, the School of Mental Health of Southern University of Science and Technology, Shenzhen University, Anhui Medical University, and Jining Medical College, Shenzhen, China
| | - Iqbal Javed
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, the School of Mental Health of Southern University of Science and Technology, Shenzhen University, Anhui Medical University, and Jining Medical College, Shenzhen, China
| | - Fen Liu
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, the School of Mental Health of Southern University of Science and Technology, Shenzhen University, Anhui Medical University, and Jining Medical College, Shenzhen, China
| | - Zhi Kong
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, the School of Mental Health of Southern University of Science and Technology, Shenzhen University, Anhui Medical University, and Jining Medical College, Shenzhen, China
| | - Ying Li
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, the School of Mental Health of Southern University of Science and Technology, Shenzhen University, Anhui Medical University, and Jining Medical College, Shenzhen, China
| | - Yingmei Zhu
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, the School of Mental Health of Southern University of Science and Technology, Shenzhen University, Anhui Medical University, and Jining Medical College, Shenzhen, China
| | - Guangyong Yi
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, the School of Mental Health of Southern University of Science and Technology, Shenzhen University, Anhui Medical University, and Jining Medical College, Shenzhen, China
| | - Chuanjia Ju
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, the School of Mental Health of Southern University of Science and Technology, Shenzhen University, Anhui Medical University, and Jining Medical College, Shenzhen, China
| | - Xiaojian Jia
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, the School of Mental Health of Southern University of Science and Technology, Shenzhen University, Anhui Medical University, and Jining Medical College, Shenzhen, China
| | - Mei Yang
- Department of Addiction Medicine, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, the School of Mental Health of Southern University of Science and Technology, Shenzhen University, Anhui Medical University, and Jining Medical College, Shenzhen, China
| |
Collapse
|
4
|
Smit D, Trevino L, Mohamed SMH, Enriquez-Geppert S. Theta power and functional connectivity as neurophysiological markers of executive functions in individuals with cognitive complaints in daily life. Biol Psychol 2023; 178:108503. [PMID: 36681295 DOI: 10.1016/j.biopsycho.2023.108503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 01/11/2023] [Accepted: 01/14/2023] [Indexed: 01/20/2023]
Abstract
Impairments in executive functions (EFs) are common across psychological disorders. Research into the neural oscillations underlying EFs has the potential to help understand these impairments and contribute to the development of interventions. The aim of this study is to assess theta power and functional theta connectivity in the sensor space of the regions of the superordinate network for the core EFs: conflict monitoring, response inhibition, set-shifting, and working memory updating. We recruited adults with self-reported everyday EFs complaints and formed two groups: one with attention deficit hyperactivity disorder (ADHD) (n=27) and another without any diagnosis (n=22), and compared them to controls (n=21) on the Stroop, Stop-signal, Switching, and N-back task using EEG. Power and functional connectivity analyses were conducted for four regions of interest: frontal-midline, frontolateral left and right, and parietal region. For all four EFs, the groups showed a dynamical increase in theta power over time in the four regions of interest, as well as in functional theta connectivity between these regions. Group differences were found especially for conflict monitoring, with differences in theta power in the frontal-midline and frontolateral right region. These neural markers are also associated with behavioural performance and complaints in daily life. For set-shifting, group differences were less pronounced and for response inhibition and working memory updating no group differences were observed.
Collapse
Affiliation(s)
- Diede Smit
- Department of Clinical and Developmental Neuropsychology, University of Groningen, the Netherlands; Research School of Behavioural and Cognitive Neurosciences, University of Groningen, the Netherlands
| | - Lorena Trevino
- Department of Clinical and Developmental Neuropsychology, University of Groningen, the Netherlands
| | - Saleh M H Mohamed
- Department of Clinical and Developmental Neuropsychology, University of Groningen, the Netherlands
| | - Stefanie Enriquez-Geppert
- Department of Clinical and Developmental Neuropsychology, University of Groningen, the Netherlands; Department of Biomedical Sciences of Cells & Systems, University Medical Center Groningen, the Netherlands.
| |
Collapse
|
5
|
Xu XP, Wang W, Wan S, Xiao CF. Convergence mechanism of mindfulness intervention in treating attention deficit hyperactivity disorder: Clues from current evidence. World J Clin Cases 2022; 10:9219-9227. [PMID: 36159418 PMCID: PMC9477656 DOI: 10.12998/wjcc.v10.i26.9219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 06/26/2022] [Accepted: 07/29/2022] [Indexed: 02/05/2023] Open
Abstract
This paper reviews the underlying evidence for various aspects of the convergence mechanism of mindfulness intervention in attention deficit hyperactivity disorder (ADHD). There may be compatibility among various ADHD remission models and the therapeutic mechanism of mindfulness intervention in ADHD may be mainly via the convergence mechanism. However, neuroimaging-based analysis of the mechanisms of mindfulness intervention in treating ADHD is lacking. Differences in the efficacy of various subtypes of mindfulness intervention, and corresponding specific imaging changes need further investigation. Future research may focus on the neuroimaging features of specific mindfulness intervention subtypes.
Collapse
Affiliation(s)
- Xin-Peng Xu
- Universal Scientific Education and Research Network, Beijing 100088, China
| | - Wei Wang
- Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Song Wan
- Universal Scientific Education and Research Network, Beijing 100088, China
| | - Chun-Feng Xiao
- Universal Scientific Education and Research Network, Beijing 100088, China
| |
Collapse
|
6
|
Han C, Wang T, Wu Y, Li H, Wang E, Zhao X, Cao Q, Qian Q, Wang Y, Dou F, Liu JK, Sun L, Xing D. Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms. Front Comput Neurosci 2022; 16:883065. [PMID: 36157841 PMCID: PMC9490822 DOI: 10.3389/fncom.2022.883065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 06/17/2022] [Indexed: 11/13/2022] Open
Abstract
Alpha rhythms in the human electroencephalogram (EEG), oscillating at 8-13 Hz, are located in parieto-occipital cortex and are strongest when awake people close their eyes. It has been suggested that alpha rhythms were related to attention-related functions and mental disorders (e.g., Attention-deficit/hyperactivity disorder (ADHD)). However, many studies have shown inconsistent results on the difference in alpha oscillation between ADHD and control groups. Hence it is essential to verify this difference. In this study, a dataset of EEG recording (128 channel EGI) from 87 healthy controls (HC) and 162 ADHD (141 persisters and 21 remitters) adults in a resting state with their eyes closed was used to address this question and a three-gauss model (summation of baseline and alpha components) was conducted to fit the data. To our surprise, the power of alpha components was not a significant difference among the three groups. Instead, the baseline power of remission and HC group in the alpha band is significantly stronger than that of persister groups. Our results suggest that ADHD recovery may have compensatory mechanisms and many abnormalities in EEG may be due to the influence of behavior rather than the difference in brain signals.
Collapse
Affiliation(s)
- Chuanliang Han
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Tian Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- College of Life Sciences, Beijing Normal University, Beijing, China
| | - Yujie Wu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Hui Li
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- National Clinical Research Center for Mental Disorder and Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Encong Wang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- National Clinical Research Center for Mental Disorder and Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Xixi Zhao
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- National Clinical Research Center for Mental Disorder and Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Qingjiu Cao
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- National Clinical Research Center for Mental Disorder and Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Qiujin Qian
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- National Clinical Research Center for Mental Disorder and Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Yufeng Wang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- National Clinical Research Center for Mental Disorder and Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Fei Dou
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- College of Life Sciences, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Genetic Engineering Drugs and Biotechnology, Beijing Normal University, Beijing, China
| | - Jian K. Liu
- School of Computing, University of Leeds, Leeds, United Kingdom
| | - Li Sun
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- National Clinical Research Center for Mental Disorder and Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
- Li Sun,
| | - Dajun Xing
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- *Correspondence: Dajun Xing,
| |
Collapse
|
7
|
Yuan S, Xu M, Zhao J, Zhu Y, Yang D. Trust violations affect the emotional working memory updating: An event-related brain potential study. Int J Psychophysiol 2022; 179:67-76. [PMID: 35753562 DOI: 10.1016/j.ijpsycho.2022.06.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 06/10/2022] [Accepted: 06/20/2022] [Indexed: 11/18/2022]
Abstract
Previous studies found that trust violations impaired the ability of working memory (WM) updating, however, these studies did not consider the emotional context in the WM updating. Individuals who experience trust violations have the characteristics of negative bias and enhanced negative emotion. Thus it is necessary to explore how emotional contexts moderate the relationship between trust violations and WM updating. In this study, the trust game was used to manipulate trust violations. Fifty-three participants performed the emotional two-back task while event-related potentials were recorded. Results showed that compared to the control group, the violation group had smaller P2 and P3 amplitudes both in emotional and nonemotional contexts and larger N2 amplitudes in the emotional contexts. There were no significant differences between the two groups on the behavioral data. These results suggest that trust violations result in the inefficient allocation of attention in the early attention (P2) and updating maintenance stages (P3) regardless of the emotional type of the material. Trust violations also improve the abilities of response inhibition, conflict monitoring, or sequential match (N2) when processing emotional material, which may play a compensatory role to maintain a level of behavioral performance comparable to the control group. Together, trust violations affect the sub-processes underlying emotional WM updating differently, and these influences are not valence specific.
Collapse
Affiliation(s)
- Shuge Yuan
- Key Laboratory of Cognition and Personality of Ministry of Education, School of Psychology, Southwest University, Chongqing 400715, China
| | - Mengsi Xu
- School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Jia Zhao
- Key Laboratory of Cognition and Personality of Ministry of Education, School of Psychology, Southwest University, Chongqing 400715, China
| | - Yue Zhu
- Key Laboratory of Cognition and Personality of Ministry of Education, School of Psychology, Southwest University, Chongqing 400715, China
| | - Dong Yang
- Key Laboratory of Cognition and Personality of Ministry of Education, School of Psychology, Southwest University, Chongqing 400715, China.
| |
Collapse
|
8
|
Zhao X, Li M, Haihambo N, Jin J, Zeng Y, Qiu J, Guo M, Zhu Y, Li Z, Liu J, Teng J, Li S, Zhao YN, Cao Y, Wang X, Li Y, Gao M, Feng X, Han C. Changes in temporal properties for epidemics of notifiable infectious diseases in China during the COVID-19 epidemic: population-based surveillance study. JMIR Public Health Surveill 2022; 8:e35343. [PMID: 35649394 PMCID: PMC9231598 DOI: 10.2196/35343] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 04/09/2022] [Accepted: 05/24/2022] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The COVID-19 was first reported in 2019, and the Chinese government immediately carried out stringent and effective control measures in response to the epidemics. OBJECTIVE These non-pharmaceutical interventions may have impacted incidences of other infectious diseases as well. Potential explanations underlying this reduction, however, are not clear. Hence, in this study, we aimed to study the influence of the COVID-19 prevention policies on other infectious diseases (mainly class B infectious diseases) in China. METHODS The time-series datasets between 2017 and 2021 for 23 notifiable infectious diseases were extracted from public datasets from the National Health Commission of China. Several indices (peak and trough amplitude, infection selectivity, preferred time to outbreak, oscillatory strength) of each infectious disease were calculated before and after the COVID-19 outbreak. RESULTS We found that the prevention and control policies for COVID-19 had a strong significant reduction effect on outbreaks of other infectious diseases. A clear event-related trough (ERT) was observed after the outbreak of COVID-19 under the strict control policies, and its decreasing amplitude is related to the infection selectivity and preferred outbreak time of the disease before the COVID-19. We also calculated the oscillatory strength before and after the COVID-19 outbreak and found that it is significantly stronger before the COVID-19 outbreak, and does not correlate with the trough amplitude. CONCLUSIONS Our results directly demonstrate that prevention policies for the COVID-19 have immediate additional benefits for controlling most class B infectious diseases, and several factors (infection selectivity, preferred outbreak time) may have contributed to the reduction of outbreaks. This study may guide the implementation of non-pharmaceutical interventions to control a wider range of infectious diseases. CLINICALTRIAL
Collapse
Affiliation(s)
- Xixi Zhao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, CN.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, CN
| | - Meijia Li
- Faculty of Psychology and Center for Neuroscience, Vrije Universiteit Brussel, Brussel, BE
| | - Naem Haihambo
- Faculty of Psychology and Center for Neuroscience, Vrije Universiteit Brussel, Brussel, BE
| | - Jianhua Jin
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, CN
| | - Yimeng Zeng
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal Univeristy, Beijing, CN
| | - Jinyi Qiu
- School of Artificial Intelligence, Beijing Normal University, Beijing, CN
| | - Mingrou Guo
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, CN.,Shenzhen Key Laboratory of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen, Shenzhen, CN
| | - Yuyao Zhu
- College of Environmental Sciences and Engineering, Peking University, Beijing, CN
| | - Zhirui Li
- Baoding First Central Hospital, Baoding, CN
| | - Jiaxin Liu
- Department of Psychology, University of Washington, Seattle, Seattle, US
| | - Jiayi Teng
- School of Psychology, Philosophy and Language Science, University of Edinburgh, Edinburgh, GB
| | - Sixiao Li
- School of music, Faculty of Arts, University of Leeds, Leeds, GB
| | - Ya-Nan Zhao
- Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, CN
| | - Yanxiang Cao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, CN.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, CN
| | - Xuemei Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, CN.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, CN
| | - Yaqiong Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, CN.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, CN
| | | | - Xiaoyang Feng
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, CN
| | - Chuanliang Han
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Nanshan District, Shenzhen, China 518055, Shenzhen, CN.,Shenzhen Key Laboratory of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen, Shenzhen, CN
| |
Collapse
|
9
|
Yang D, Tao H, Ge H, Li Z, Hu Y, Meng J. Altered Processing of Social Emotions in Individuals With Autistic Traits. Front Psychol 2022; 13:746192. [PMID: 35310287 PMCID: PMC8931733 DOI: 10.3389/fpsyg.2022.746192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 01/28/2022] [Indexed: 11/20/2022] Open
Abstract
Social impairment is a defining phenotypic feature of autism. The present study investigated whether individuals with autistic traits exhibit altered perceptions of social emotions. Two groups of participants (High-AQ and Low-AQ) were recruited based on their scores on the autism-spectrum quotient (AQ). Their behavioral responses and event-related potentials (ERPs) elicited by social and non-social stimuli with positive, negative, and neutral emotional valence were compared in two experiments. In Experiment 1, participants were instructed to view social-emotional and non-social emotional pictures. In Experiment 2, participants were instructed to listen to social-emotional and non-social emotional audio recordings. More negative emotional reactions and smaller amplitudes of late ERP components (the late positive potential in Experiment 1 and the late negative component in Experiment 2) were found in the High-AQ group than in the Low-AQ group in response to the social-negative stimuli. In addition, amplitudes of these late ERP components in both experiments elicited in response to social-negative stimuli were correlated with the AQ scores of the High-AQ group. These results suggest that individuals with autistic traits have altered emotional processing of social-negative emotions.
Collapse
Affiliation(s)
- Di Yang
- Key Laboratory of Applied Psychology, Chongqing Normal University, Chongqing, China.,School of Education, Chongqing Normal University, Chongqing, China.,Key Laboratory of Emotion and Mental Health, Chongqing University of Arts and Sciences, Chongqing, China
| | - Hengheng Tao
- Key Laboratory of Applied Psychology, Chongqing Normal University, Chongqing, China.,School of Education, Chongqing Normal University, Chongqing, China
| | - Hongxin Ge
- Key Laboratory of Applied Psychology, Chongqing Normal University, Chongqing, China.,School of Education, Chongqing Normal University, Chongqing, China
| | - Zuoshan Li
- Key Laboratory of Applied Psychology, Chongqing Normal University, Chongqing, China.,School of Education, Chongqing Normal University, Chongqing, China
| | - Yuanyan Hu
- Key Laboratory of Emotion and Mental Health, Chongqing University of Arts and Sciences, Chongqing, China
| | - Jing Meng
- Key Laboratory of Applied Psychology, Chongqing Normal University, Chongqing, China.,School of Education, Chongqing Normal University, Chongqing, China
| |
Collapse
|
10
|
Aksoy M, Ufodiama CE, Bateson AD, Martin S, Asghar AUR. A comparative experimental study of visual brain event-related potentials to a working memory task: virtual reality head-mounted display versus a desktop computer screen. Exp Brain Res 2021; 239:3007-3022. [PMID: 34347129 PMCID: PMC8536609 DOI: 10.1007/s00221-021-06158-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 06/19/2021] [Indexed: 11/20/2022]
Abstract
Virtual reality head mounted display (VR HMD) systems are increasingly utilised in combination with electroencephalography (EEG) in the experimental study of cognitive tasks. The aim of our investigation was to determine the similarities/differences between VR HMD and the computer screen (CS) in response to an n-back working memory task by comparing visual electrophysiological event-related potential (ERP) waveforms (N1/P1/P3 components). The same protocol was undertaken for VR HMD and CS with participants wearing the same EEG headcap. ERP waveforms obtained with the VR HMD environment followed a similar time course to those acquired in CS. The P3 mean and peak amplitudes obtained in VR HMD were not significantly different to those obtained in CS. In contrast, the N1 component was significantly higher in mean and peak amplitudes for the VR HMD environment compared to CS at the frontal electrodes. Significantly higher P1 mean and peak amplitudes were found at the occipital region compared to the temporal for VR HMD. Our results show that successful acquisition of ERP components to a working memory task is achievable by combining VR HMD with EEG. In addition, the higher amplitude N1/P1 components seen in VR HMD indicates the potential utility of this VR modality in the investigation of early ERPs. In conclusion, the combination of VR HMD with EEG/ERP would be a useful approach to advance the study of cognitive function in experimental brain research.
Collapse
Affiliation(s)
- Murat Aksoy
- Centre for Anatomical and Human Sciences, Hull York Medical School, University of Hull, Hull, HU6 7RX, UK
| | - Chiedu E Ufodiama
- Centre for Anatomical and Human Sciences, Hull York Medical School, University of Hull, Hull, HU6 7RX, UK
| | - Anthony D Bateson
- Department of Engineering, Faculty Science and Engineering, University of Hull, Cottingham Road, Hull, HU6 7RX, UK
| | - Stewart Martin
- School of Education and Social Sciences, University of Hull, Cottingham Road, Hull, HU6 7RX, UK
| | - Aziz U R Asghar
- Centre for Anatomical and Human Sciences, Hull York Medical School, University of Hull, Hull, HU6 7RX, UK.
| |
Collapse
|
11
|
Wang C, Shen H, Zhu J, Manman N, Liao L, Jiang K, Dong X. Recognition memory for pictures in children with ADHD: an event-related potential study. Int J Neurosci 2021; 133:555-566. [PMID: 34082664 DOI: 10.1080/00207454.2021.1936518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE Children with ADHD are reported to accompany by various degrees of recognition memory cognitive deficits. We aimed to investigate age-related changes of the amplitude in event-related potential recordings on recognition memory in Chinese children with ADHD and to provide theoretical basis of neuro-electrophysiology for the cognition development of children. METHOD ERP and behavioral data of 6- to -10-year-old children with ADHD (n = 94) and typically developing controls (TD, n = 96) were collected while the children performed a classical visual study-test paradigm task. RESULTS Children with ADHD have defects in pictures recognition and showed a significantly smaller P2 component than that of TD children. The development of P2 and P3 component were different between the two groups. Moreover, the TD children showed the frontal old/new effect (N2) taken as a correlate of familiarity at 6 years old, and a parietal old/new effect (P3) taken as a correlate of recollection at 9 years old, while children with ADHD showed a parietal old/new effect (P3) only at 6 years old. CONCLUSION Our study provided the novel evidence that recognition memory follow different developmental trajectories at the age of 6-10 between TD and ADHD.
Collapse
Affiliation(s)
- Chaoqun Wang
- Children's Health Research Center, Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu, China
| | - Huijuan Shen
- Children's Health Research Center, Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu, China
| | - Jie Zhu
- Children's Health Research Center, Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu, China
| | - Ni Manman
- Children's Health Research Center, Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu, China
| | - Lina Liao
- Children's Health Research Center, Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu, China
| | - Kaihua Jiang
- Children's Health Research Center, Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu, China
| | - Xuan Dong
- Children's Health Research Center, Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu, China
| |
Collapse
|
12
|
Gu Y, Li X, Chen S, Li X. AOAR: an automatic ocular artifact removal approach for multi-channel electroencephalogram data based on non-negative matrix factorization and empirical mode decomposition. J Neural Eng 2021; 18:056012. [PMID: 33821810 DOI: 10.1088/1741-2552/abede0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Electroencephalogram (EEG) signals suffer inevitable interference from artifacts during the acquisition process. These artifacts make the analysis and interpretation of EEG data difficult. A major source of artifacts in EEGs is ocular activity. Therefore, it is important to remove ocular artifacts before further processing the EEG data. APPROACH In this study, an automatic ocular artifact removal (AOAR) method for EEG signals is proposed based on non-negative matrix factorization (NMF) and empirical mode decomposition (EMD). First, the amplitude of EEG data was normalized in order to ensure its non-negativity. Then, the normalized EEG data were decomposed into a set of components using NMF. The components containing ocular artifacts were extracted automatically through the fractal dimension. Subsequently, the temporal activities of these components were adaptively decomposed into some intrinsic mode functions (IMFs) by EMD. The IMFs corresponding to ocular artifacts were removed. Finally, the de-noised EEG data were reconstructed. MAIN RESULTS The proposed method was tested against seven other methods. In order to assess the effectiveness and reliability of the AOAR method in processing EEG data, experiments on ocular artifact removal were performed using simulated EEG data. Experimental results indicated that the proposed method was superior to the other methods in terms of root mean square error, signal-to-noise ratio (SNR) and correlation coefficient, especially in cases with a lower SNR. To further evaluate the potential applications of the proposed method in real life, the proposed method and others were applied to preprocess real EEG data recorded from children with and without attention-deficit/hyperactivity disorder (ADHD). After artifact rejection, the event-related potential feature was extracted for classification. The AOAR method was best at distinguishing the children with ADHD from the others. SIGNIFICANCE These results indicate that the proposed AOAR method has excellent prospects for removing ocular artifacts from EEG data.
Collapse
Affiliation(s)
- Yue Gu
- Key Laboratory of Computer Vision and System (Ministry of Education), School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, People's Republic of China. Engineering Research Center of Learning-Based Intelligent system, Ministry of Education, Tianjin 300384, People's Republic of China
| | | | | | | |
Collapse
|