1
|
Han M, He C, Li T, Li Q, Chu T, Li J, Wang P. Altered dynamic and static brain activity and functional connectivity in COVID-19 patients: a preliminary study. Neuroreport 2024; 35:306-315. [PMID: 38305116 DOI: 10.1097/wnr.0000000000002009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
This study aimed to investigate the effects of COVID-19 on brain functional activity through resting-state functional MRI (rs-fMRI). fMRI scans were conducted on a cohort of 42 confirmed COVID-19-positive patients and 46 healthy controls (HCs) to assess brain functional activity. A combination of dynamic and static amplitude of low-frequency fluctuations (dALFF/sALFF) and dynamic and static functional connectivity (dFC/sFC) was used for evaluation. Abnormal brain regions identified were then used as feature inputs in the model to evaluate support vector machine (SVM) capability in recognizing COVID-19 patients. Moreover, the random forest (RF) model was employed to verify the stability of SVM diagnoses for COVID-19 patients. Compared to HCs, COVID-19 patients exhibited a decrease in sALFF in the right lingual gyrus and the left medial occipital gyrus and an increase in dALFF in the right straight gyrus. Moreover, there was a decline in sFC between both lingual gyri and the right superior occipital gyrus and a reduction in dFC with the precentral gyrus. The dynamic and static combined ALFF and FC could distinguish between COVID-19 patients and the HCs with an accuracy of 0.885, a specificity of 0.818, a sensitivity of 0.933 and an area under the curve of 0.909. The combination of dynamic and static ALFF and FC can provide information for detecting brain functional abnormalities in COVID-19 patients.
Collapse
Affiliation(s)
- Mingxing Han
- Department of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai
| | - Chunni He
- Department of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai
| | - Tianping Li
- Department of Radiology, The Second Hospital of Jiaxing, Jiaxing, People's Republic of China
| | - Qinglong Li
- Department of Magenetic Resonance Imaging (MRI), Henan Provincial Hospital of Traditional Chinese Medicine (The Second Affiliated Hospital of Henan University of Traditional Chinese Medicine), Zhengzhou
| | - Tongpeng Chu
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, People's Republic of China
| | - Jun Li
- Department of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai
| | - Peiyuan Wang
- Department of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai
| |
Collapse
|
2
|
Zhang W, Gorelik AJ, Wang Q, Norton SA, Hershey T, Agrawal A, Bijsterbosch JD, Bogdan R. Associations between COVID-19 and putative markers of neuroinflammation: A diffusion basis spectrum imaging study. Brain Behav Immun Health 2024; 36:100722. [PMID: 38298902 PMCID: PMC10825665 DOI: 10.1016/j.bbih.2023.100722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 12/27/2023] [Accepted: 12/27/2023] [Indexed: 02/02/2024] Open
Abstract
COVID-19 remains a significant international public health concern. Yet, the mechanisms through which symptomatology emerges remain poorly understood. While SARS-CoV-2 infection may induce prolonged inflammation within the central nervous system, the evidence primarily stems from limited small-scale case investigations. To address this gap, our study capitalized on longitudinal UK Biobank neuroimaging data acquired prior to and following COVID-19 testing (N = 416 including n = 224 COVID-19 cases; Mage = 58.6). Putative neuroinflammation was assessed in gray matter structures and white matter tracts using non-invasive Diffusion Basis Spectrum Imaging (DBSI), which estimates inflammation-related cellularity (DBSI-restricted fraction; DBSI-RF) and vasogenic edema (DBSI-hindered fraction; DBSI-HF). We hypothesized that COVID-19 case status would be associated with increases in DBSI markers after accounting for potential confound (age, sex, race, body mass index, smoking frequency, and data acquisition interval) and multiple testing. COVID-19 case status was not significantly associated with DBSI-RF (|β|'s < 0.28, pFDR >0.05), but with greater DBSI-HF in left pre- and post-central gyri and right middle frontal gyrus (β's > 0.3, all pFDR = 0.03). Intriguingly, the brain areas exhibiting increased putative vasogenic edema had previously been linked to COVID-19-related functional and structural alterations, whereas brain regions displaying subtle differences in cellularity between COVID-19 cases and controls included regions within or functionally connected to the olfactory network, which has been implicated in COVID-19 psychopathology. Nevertheless, our study might not have captured acute and transitory neuroinflammatory effects linked to SARS-CoV-2 infection, possibly due to symptom resolution before the imaging scan. Future research is warranted to explore the potential time- and symptom-dependent neuroinflammatory relationship with COVID-19.
Collapse
Affiliation(s)
- Wei Zhang
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Aaron J. Gorelik
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, United States
| | - Qing Wang
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Sara A. Norton
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, United States
| | - Tamara Hershey
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, United States
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Janine D. Bijsterbosch
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Ryan Bogdan
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, United States
| |
Collapse
|
3
|
Jin P, Cui F, Xu M, Ren Y, Zhang L. Altered brain function and structure pre- and post- COVID-19 infection: a longitudinal study. Neurol Sci 2024; 45:1-9. [PMID: 38049550 DOI: 10.1007/s10072-023-07236-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 11/28/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Evidence indicates that the SARS-CoV-2 virus can infect the brain, resulting in central nervous system symptoms. However, there is a lack of a longitudinal imaging study investigating the impact of Coronavirus disease 2019 (COVID-19) infection on brain function. Consequently, this study aimed to fill this knowledge gap using functional magnetic resonance imaging (fMRI). METHODS Twenty-one participants underwent two resting-state fMRI scans before and after infection. The amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo) were assessed to identify the brain function changes. Additionally, voxel-based morphometry (VBM) was utilized to assess changes in brain structure. Subsequently, brain regions that showed significant differences were identified as regions of interest (ROI) in functional connectivity analysis (FC). RESULTS After infection, ALFF was increased in the bilateral paracentral lobe and postcentral gyrus while decreased in the bilateral precuneus. Moreover, ReHo was decreased in the cerebellar vermis, accompanied by a decrease in FC with the bilateral postcentral gyrus. Furthermore, gray matter volume (GMV) reduction was observed in the left thalamus. The results of the correlation analysis revealed a negative correlation between ALFF values in the bilateral precuneus and scores on the self-rating anxiety scale (SAS) in pre- and post-infection datasets. CONCLUSION Neuroimaging alterations may occur before the manifestation of clinical symptoms, indicating that the functioning of the motor and sensory systems, as well as their connection, might be affected following infection. This alteration can potentially increase the potential of maladaptive responses to environmental stimuli. Furthermore, patients may be susceptible to future emotional disorders.
Collapse
Affiliation(s)
- Ping Jin
- Department of Radiology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Stadium Road 453#, Xihu District, Hangzhou City, 310000, Zhejiang Province, China
| | - Feng Cui
- Department of Radiology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Stadium Road 453#, Xihu District, Hangzhou City, 310000, Zhejiang Province, China
| | - Min Xu
- Department of Radiology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Stadium Road 453#, Xihu District, Hangzhou City, 310000, Zhejiang Province, China
| | - Yue Ren
- Department of Radiology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Stadium Road 453#, Xihu District, Hangzhou City, 310000, Zhejiang Province, China
| | - Luping Zhang
- Department of Radiology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Stadium Road 453#, Xihu District, Hangzhou City, 310000, Zhejiang Province, China.
| |
Collapse
|
4
|
Zhang W, Gorelik AJ, Wang Q, Norton SA, Hershey T, Agrawal A, Bijsterbosch JD, Bogdan R. Associations between COVID-19 and putative markers of neuroinflammation: A diffusion basis spectrum imaging study. bioRxiv 2023:2023.07.20.549891. [PMID: 37502886 PMCID: PMC10370178 DOI: 10.1101/2023.07.20.549891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
COVID-19 remains a significant international public health concern. Yet, the mechanisms through which symptomatology emerges remain poorly understood. While SARS-CoV-2 infection may induce prolonged inflammation within the central nervous system, the evidence primarily stems from limited small-scale case investigations. To address this gap, our study capitalized on longitudinal UK Biobank neuroimaging data acquired prior to and following COVID-19 testing (N=416 including n=224 COVID-19 cases; Mage=58.6). Putative neuroinflammation was assessed in gray matter structures and white matter tracts using non-invasive Diffusion Basis Spectrum Imaging (DBSI), which estimates inflammation-related cellularity (DBSI-restricted fraction; DBSI-RF) and vasogenic edema (DBSI-hindered fraction; DBSI-HF).We hypothesized that COVID-19 case status would be associated with increases in DBSI markers after accounting for potential confound (age, sex, race, body mass index, smoking frequency, and data acquisition interval) and multiple testing. COVID-19 case status was not significantly associated with DBSI-RF (|β|'s<0.28, pFDR >0.05), but with greater DBSI-HF in left pre- and post-central gyri and right middle frontal gyrus (β's>0.3, all pFDR=0.03). Intriguingly, the brain areas exhibiting increased putative vasogenic edema had previously been linked to COVID-19-related functional and structural alterations, whereas brain regions displaying subtle differences in cellularity between COVID-19 cases and controls included regions within or functionally connected to the olfactory network, which has been implicated in COVID-19 psychopathology. Nevertheless, our study might not have captured acute and transitory neuroinflammatory effects linked to SARS-CoV-2 infection, possibly due to symptom resolution before the imaging scan. Future research is warranted to explore the potential time- and symptom-dependent neuroinflammatory relationship with COVID-19.
Collapse
Affiliation(s)
- Wei Zhang
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Aaron J Gorelik
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, United States
| | - Qing Wang
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Sara A Norton
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, United States
| | - Tamara Hershey
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, United States
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Janine D Bijsterbosch
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Ryan Bogdan
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, United States
| |
Collapse
|
5
|
Taskiran-Sag A, Yazgi H. Limbic system damage following SARS-CoV2 infection. Brain Commun 2023; 5:fcad340. [PMID: 38116142 PMCID: PMC10729846 DOI: 10.1093/braincomms/fcad340] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 10/10/2023] [Accepted: 12/06/2023] [Indexed: 12/21/2023] Open
Affiliation(s)
- Aslihan Taskiran-Sag
- Department of Neurology, Faculty of Medicine, TOBB University of Economics and Technology, 06510, Ankara, Turkey
| | - Hare Yazgi
- Faculty of Medicine, TOBB University of Economics and Technology, 06510 Ankara, Turkey
| |
Collapse
|
6
|
Huang Y, Shen C, Zhao W, Zhang HT, Li C, Ju C, Ouyang R, Liu J. Multilayer network analysis of dynamic network reconfiguration in patients with moderate-to-severe obstructive sleep apnea and its association with neurocognitive function. Sleep Med 2023; 112:333-341. [PMID: 37956645 DOI: 10.1016/j.sleep.2023.10.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/26/2023] [Accepted: 10/30/2023] [Indexed: 11/15/2023]
Abstract
BACKGROUND Brain functional network disruption and neurocognitive dysfunction have been reported in obstructive sleep apnea (OSA) patients. Nevertheless, most research studies static networks, while brain evolution continues dynamically. PURPOSE To investigate the characteristics of dynamical networks in moderate-to-severe OSA patients using multilayer network analysis of dynamic networks and compare their association with neurocognitive function. METHODS Twenty-seven moderate-to-severe OSA patients and twenty-five matched healthy controls (HCs) who completed the examination of the Epworth sleepiness scale (ESS), neurocognitive function, polysomnography, and functional magnetic resonance imaging (fMRI) were prospectively included. The dynamic variations of resting-state functional networks in both groups were described via network switching rate. Switching rates and their correlation with clinical parameters were analyzed. RESULTS At the global level, network switching rates were notably lower in the OSA group than in the HCs group (p = 0.002). More specifically, the differences include the default mode network (DMN), auditory network, and ventral attention network at the subnetwork level, and the right rolandic operculum, left middle temporal gyrus, and right precentral gyrus at the nodal level. Furthermore, these altered switching rates have a close correlation with ESS, sleep parameters, and neurocognitive function. CONCLUSION Patients with moderate-to-severe OSA showed lower network switching rates, especially in the DMN, auditory network, and ventral attention network. The disruption of dynamic functional networks may be a potentially crucial mechanism of neurocognitive dysfunction in moderate-to-severe OSA patients.
Collapse
Affiliation(s)
- Yijie Huang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan Province, China
| | - Chong Shen
- Department of Respiratory and Critical Care Medicine, Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Wei Zhao
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan Province, China; Department of Radiology, The Second Xiangya Hospital of Central South University, China; Clinical Research Center for Medical Imaging in Hunan Province, China; Department of Radiology Quality Control Center, Hunan Province, Changsha, Hunan Province, China
| | - Hui-Ting Zhang
- MR Research Collaboration Team, Siemens Healthineers, Wuhan, China
| | - Chang Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan Province, China
| | - Chao Ju
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan Province, China
| | - Ruoyun Ouyang
- Department of Respiratory and Critical Care Medicine, Second Xiangya Hospital, Central South University, Changsha, 410011, China.
| | - Jun Liu
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan Province, China; Department of Radiology, The Second Xiangya Hospital of Central South University, China; Clinical Research Center for Medical Imaging in Hunan Province, China; Department of Radiology Quality Control Center, Hunan Province, Changsha, Hunan Province, China.
| |
Collapse
|
7
|
Kafali HY, Dasgin H, Sahin Cevik D, Sozan SS, Oguz KK, Mutlu M, Parlakay AO, Toulopoulou T. The effect of SARS-CoV-2 virus on resting-state functional connectivity during adolescence: Investigating brain correlates of psychotic-like experiences and SARS-CoV-2 related inflammation response. Psychiatry Res Neuroimaging 2023; 336:111746. [PMID: 37979347 DOI: 10.1016/j.pscychresns.2023.111746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 10/18/2023] [Accepted: 11/03/2023] [Indexed: 11/20/2023]
Abstract
We first aimed to investigate resting-state functional connectivity (rs-FC) differences between adolescents exposed to SARS-CoV-2 and healthy controls. Secondly, the moderator effect of PLEs on group differences in rs-FC was examined. Thirdly, brain correlates of inflammation response during acute SARS-CoV-2 infection were investigated. Eighty-two participants aged between 14 and 24 years (SARS-CoV-2 (n = 35), controls (n = 47)) were examined using rs-fMRI. Seed-based rs-FC analysis was performed. The positive subscale of Community Assessment of Psychotic Experiences-42 (CAPE-Pos) was used to measure PLEs. The SARS-CoV-2 group had a lesser rs-FC within sensorimotor network (SMN), central executive network (CEN) and language network (LN), but an increased rs-FC within visual network (VN) compared to controls. No significant differences were detected between the groups regarding CAPE-Pos-score. However, including CAPE-Pos as a covariate, we found increased rs-FC within CEN and SN in SARS-CoV-2 compared to controls. Among the SARS-CoV-2 group, neutrophil/lymphocyte and thrombocyte*neutrophil/lymphocyte ratio was correlated with decreased/increased FC within DMN and SN, and increased FC within CEN. Our results showed rs-FC alterations within the SMN, CEN, LN, and VN among adolescents exposed to SARS-CoV-2. Moreover, changes in rs-FC associated with PLEs existed in these adolescents despite the absence of clinical changes. Furthermore, inflammation response was correlated with alterations in FC within the triple network system.
Collapse
Affiliation(s)
- Helin Yilmaz Kafali
- Department of Psychology, Fevziye Schools Fundation, Işık University, Istanbul, Turkey
| | - Hacer Dasgin
- National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey
| | - Didenur Sahin Cevik
- National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey
| | - Sara Sinem Sozan
- Department of Psychology, Ankara Social Sciences University, Ankara, Turkey
| | - Kader K Oguz
- National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey; School of Medicine, Department of Radiology, University of California Davis, United States
| | - Müge Mutlu
- Department of Child Psychiatry, Ankara City Hospital, Ankara, Turkey
| | | | - Timothea Toulopoulou
- National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey; Department of Psychology, Bilkent University, Ankara, Turkey; Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, United States.
| |
Collapse
|
8
|
Du Y, Zhao W, Huang S, Huang C, Li C, Chen Y, Huang Y, Yang L, Li C, Zhang H, Guo H, Liu J. Gray Matter Thickness and Subcortical Nuclear Volume in Men After SARS-CoV-2 Omicron Infection. JAMA Netw Open 2023; 6:e2345626. [PMID: 38032639 PMCID: PMC10690469 DOI: 10.1001/jamanetworkopen.2023.45626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 10/19/2023] [Indexed: 12/01/2023] Open
Abstract
Importance The clinical manifestations and effects on the brain of the SARS-CoV-2 Omicron variant in the acute postinfection phase remain unclear. Objective To investigate the pathophysiological mechanisms underlying clinical symptoms and changes to gray matter and subcortical nuclei among male patients after Omicron infection and to provide an imaging basis for early detection and intervention. Design, Setting, and Participants In this cohort study, a total of 207 men underwent health screening magnetic resonance imaging scans between August 28 and September 18, 2022; among them, 98 provided complete imaging and neuropsychiatric data. Sixty-one participants with Omicron infection were reevaluated after infection (January 6 to 14, 2023). Neuropsychiatric data, clinical symptoms, and magnetic resonance imaging data were collected in the acute post-Omicron period, and their clinical symptoms were followed up after 3 months. Gray matter indexes and subcortical nuclear volumes were analyzed. Associations between changes in gray matter and neuropsychiatric data were evaluated with correlation analyses. Exposures Gray matter thickness and subcortical nuclear volume change data were compared before and after Omicron infection. Main Outcomes and Measures The gray matter indexes and subcutaneous nuclear volume were generated from the 3-dimensional magnetization-prepared rapid acquisition gradient echo and were calculated with imaging software. Results Ninety-eight men underwent complete baseline data collection; of these, 61 (mean [SD] age, 43.1 [9.9] years) voluntarily enrolled in post-Omicron follow-up and 17 (mean [SD] age, 43.5 [10.0] years) voluntarily enrolled in 3-month follow-up. Compared with pre-Omicron measures, Beck Anxiety Inventory scores were significantly increased (median, 4.50 [IQR, 1.00-7.00] to 4.00 [IQR, 2.00-9.75]; P = .006) and depressive distress scores were significantly decreased (median, 18.00 [IQR, 16.00-20.22] to 16.00 [IQR, 15.00-19.00]; P = .003) at the acute post-Omicron follow-up. Fever, headache, fatigue, myalgia, cough, and dyspnea were the main symptoms during the post-Omicron follow-up; among the participants in the 3-month follow-up, fever (11 [64.7%] vs 2 [11.8%]; P = .01), myalgia (10 [58.8%] vs 3 (17.6%]; P = .04), and cough (12 [70.6%] vs 4 [23.5%]; P = .02) were significantly improved. The gray matter thickness in the left precuneus (mean [SD], 2.7 [0.3] to 2.6 [0.2] mm; P < .001) and right lateral occipital region (mean [SD], 2.8 [0.2] to 2.7 [0.2] and 2.5 [0.2] to 2.5 [0.2] mm; P < .001 for both) and the ratio of the right hippocampus volume to the total intracranial volume (mean [SD]. 0.003 [0.0003] to 0.003 [0.0002]; P = .04) were significantly reduced in the post-Omicron follow-up. The febrile group had reduced sulcus depth of the right inferior parietal region compared with the nonfebrile group (mean [SD], 3.9 [2.3] to 4.8 [1.1]; P = .048. In the post-Omicron period, the thickness of the left precuneus was negatively correlated with the Beck Anxiety Inventory scores (r = -0.39; P = .002; false discovery rate P = .02), and the ratio of the right hippocampus to the total intracranial volume was positively correlated with the Word Fluency Test scores (r = 0.34; P = .007). Conclusions and Relevance In this cohort study of male patients infected with the Omicron variant, the duration of symptoms in multiple systems after infection was short. Changes in gray matter thickness and subcortical nuclear volume injury were observed in the post-Omicron period. These findings provide new insights into the emotional and cognitive mechanisms of an Omicron infection, demonstrate its association with alterations to the nervous system, and verify an imaging basis for early detection and intervention of neurological sequelae.
Collapse
Affiliation(s)
- Yanyao Du
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Wei Zhao
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Research Center for Medical Imaging in Hunan Province, Changsha, China
- Department of Radiology Quality Control Center, Hunan Province, Changsha, China
| | - Sihong Huang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Chuxin Huang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Chang Li
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Yanjing Chen
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Yijie Huang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Longtao Yang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Cong Li
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Huiting Zhang
- MR Scientific Marketing, Siemens Healthineers Ltd, Wuhan, China
| | - Hu Guo
- MR Application, Siemens Healthineers Ltd, Changsha, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Research Center for Medical Imaging in Hunan Province, Changsha, China
- Department of Radiology Quality Control Center, Hunan Province, Changsha, China
| |
Collapse
|
9
|
Zorzo C, Solares L, Mendez M, Mendez-Lopez M. Hippocampal alterations after SARS-CoV-2 infection: A systematic review. Behav Brain Res 2023; 455:114662. [PMID: 37703951 DOI: 10.1016/j.bbr.2023.114662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/30/2023] [Accepted: 09/08/2023] [Indexed: 09/15/2023]
Abstract
SARS-CoV-2 infection produces a wide range of symptoms. Some of the structural changes caused by the virus in the nervous system are found in the medial temporal lobe, and several neuropsychological sequelae of COVID-19 are related to the function of the hippocampus. The main objective of the systematic review is to update and further analyze the existing evidence of hippocampal and related cortices' structural and functional alterations due to SARS-CoV-2 infection. Both clinical and preclinical studies that used different methodologies to explore the effects of this disease at different stages and grades of severity were considered, besides exploring related cognitive and emotional symptomatology. A total of 24 studies were identified by searching in SCOPUS, Web Of Science (WOS), PubMed, and PsycInfo databases up to October 3rd, 2022. Thirteen studies were performed in clinical human samples, 9 included preclinical animal models, 3 were performed post-mortem, and 1 included both post-mortem and preclinical samples. Alterations in the hippocampus were detected in the acute stage and after several months of infection. Clinical studies revealed alterations in hippocampal connectivity and metabolism. Memory alterations correlated with altered metabolic profiles or changes in grey matter volumes. Hippocampal human postmortem and animal studies observed alterations in neurogenesis, dendrites, and immune response, besides high apoptosis and neuroinflammation. Preclinical studies reported the viral load in the hippocampus. Olfactory dysfunction was associated with alterations in brain functionality. Several clinical studies revealed cognitive complaints, neuropsychological alterations, and depressive and anxious symptomatology.
Collapse
Affiliation(s)
- Candela Zorzo
- Neuroscience Institute of Principado de Asturias (INEUROPA), Faculty of Psychology, Plaza Feijoo s/n, 33003 Oviedo, Asturias, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Av. del Hospital Universitario, s/n, 33011 Oviedo, Asturias, Spain; Department of Psychology, University of Oviedo, Faculty of Psychology, Plaza Feijoo s/n, 33003 Oviedo, Asturias, Spain.
| | - Lucía Solares
- Department of Psychology, University of Oviedo, Faculty of Psychology, Plaza Feijoo s/n, 33003 Oviedo, Asturias, Spain.
| | - Marta Mendez
- Neuroscience Institute of Principado de Asturias (INEUROPA), Faculty of Psychology, Plaza Feijoo s/n, 33003 Oviedo, Asturias, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Av. del Hospital Universitario, s/n, 33011 Oviedo, Asturias, Spain; Department of Psychology, University of Oviedo, Faculty of Psychology, Plaza Feijoo s/n, 33003 Oviedo, Asturias, Spain.
| | - Magdalena Mendez-Lopez
- Department of Psychology and Sociology, University of Zaragoza, Pedro Cerbuna 12, 50009 Zaragoza, Aragón, Spain; IIS Aragón, San Juan Bosco, 13, 50009 Zaragoza, Aragón, Spain.
| |
Collapse
|
10
|
Linh TTD, Ho DKN, Nguyen NN, Hu CJ, Yang CH, Wu D. Global prevalence of post-COVID-19 sleep disturbances in adults at different follow-up time points: A systematic review and meta-analysis. Sleep Med Rev 2023; 71:101833. [PMID: 37597302 DOI: 10.1016/j.smrv.2023.101833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 06/30/2023] [Accepted: 07/29/2023] [Indexed: 08/21/2023]
Abstract
Our systematic review and meta-analysis estimated the prevalence of post-COVID sleep disturbances in adult population. We systematically searched relevant studies from four databases that reported post-COVID sleep disturbances prevalence with a mean or median follow-up duration of ≥28 days. We identified 153 eligible papers, with a total COVID-19 population of 252437. Employing multilevel mixed-effects meta-analyses, we estimated the overall pooled prevalence of post-COVID sleep disturbances being 28.98% (25.73-32.34), with the highest prevalence reported in Europe and the lowest in Southeast Asia. Poor sleep quality was the most prevalent definition of sleep disturbances, followed by excessive daytime sleepiness, insomnia, sleep apnea. Prevalence estimates were notably higher when measured with Epworth sleepiness scale, or Pittsburgh sleep quality index compared to symptom questionnaires, self-reports, or personal interviews. Female sex (Odds ratio, OR = 1.59, 1.38-1.83) and severe/critical acute COVID-19 (OR = 1.36, 1.09-1.69) emerged as substantial risk factors. Our review underscore the persistent prevalence of sleep disturbances among COVID-19 survivors, and the importance of factors such as geography, definition, measures of sleep disorders, sex, and severity of acute COVID-19 infection. These findings highlight the urgent need for further investigation into the underlying molecular mechanisms driving these sleep disturbances to develop effective therapeutic strategies.
Collapse
Affiliation(s)
- Tran Thanh Duy Linh
- International Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei, 110, Taiwan; Family Medicine Training Center, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, 700000, Viet Nam
| | - Dang Khanh Ngan Ho
- School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei, 110, Taiwan
| | - Nam Nhat Nguyen
- International Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei, 110, Taiwan
| | - Chaur-Jong Hu
- Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, 101, Taiwan; Dementia Center and Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, 235, Taiwan; Taipei Neuroscience Institute, Taipei Medical University, Taipei, 101, Taiwan
| | - Chih-Hao Yang
- Department of Pharmacology, School of Medicine, College of Medicine. Taipei Medical University, Taipei, 110, Taiwan; Neuroscience Research Center, Taipei Medical University, Taipei, 110, Taiwan.
| | - Dean Wu
- Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, 101, Taiwan; Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, 235, Taiwan; Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, 235, Taiwan.
| |
Collapse
|
11
|
Su S, Zhao Y, Zeng N, Liu X, Zheng Y, Sun J, Zhong Y, Wu S, Ni S, Gong Y, Zhang Z, Gao N, Yuan K, Yan W, Shi L, Ravindran AV, Kosten T, Shi J, Bao Y, Lu L. Epidemiology, clinical presentation, pathophysiology, and management of long COVID: an update. Mol Psychiatry 2023; 28:4056-4069. [PMID: 37491461 DOI: 10.1038/s41380-023-02171-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 06/20/2023] [Accepted: 06/27/2023] [Indexed: 07/27/2023]
Abstract
The increasing number of coronavirus disease 2019 (COVID-19) infections have highlighted the long-term consequences of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection called long COVID. Although the concept and definition of long COVID are described differently across countries and institutions, there is general agreement that it affects multiple systems, including the immune, respiratory, cardiovascular, gastrointestinal, neuropsychological, musculoskeletal, and other systems. This review aims to provide a synthesis of published epidemiology, symptoms, and risk factors of long COVID. We also summarize potential pathophysiological mechanisms and biomarkers for precise prevention, early diagnosis, and accurate treatment of long COVID. Furthermore, we suggest evidence-based guidelines for the comprehensive evaluation and management of long COVID, involving treatment, health systems, health finance, public attitudes, and international cooperation, which is proposed to improve the treatment strategies, preventive measures, and public health policy making of long COVID.
Collapse
Affiliation(s)
- Sizhen Su
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yimiao Zhao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- Scholl of Public Health, Peking University, Beijing, China
| | - Na Zeng
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- Scholl of Public Health, Peking University, Beijing, China
| | - Xiaoxing Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yongbo Zheng
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Jie Sun
- Pain Medicine Center, Peking University Third Hospital, Beijing, China
| | - Yi Zhong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Shuilin Wu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- Scholl of Public Health, Peking University, Beijing, China
| | - Shuyu Ni
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- Scholl of Public Health, Peking University, Beijing, China
| | - Yimiao Gong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Zhibo Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Nan Gao
- The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Kai Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Wei Yan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Arun V Ravindran
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Thomas Kosten
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China.
- Scholl of Public Health, Peking University, Beijing, China.
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China.
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.
| |
Collapse
|
12
|
Scalabrini A, Palladini M, Mazza MG, Mucci C, Northoff G, Benedetti F. In Between the Psychological and Physiological Self - The Impact of Covid-19 Pandemic on the Neuro-Socio-Ecological and Inflammatory Mind-Body-Brain System. Clin Neuropsychiatry 2023; 20:342-350. [PMID: 37791086 PMCID: PMC10544257 DOI: 10.36131/cnfioritieditore20230414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
The COVID-19 pandemic has had a profound impact on individuals' sense of self perturbating the sense of connectedness with the others, touching upon deep existential fears and deep intersubjective and cultural layers, emphasizing the importance of a neuro-socio-ecological alignment for the sense of security of psychological self. We can still observe after years how social distancing measures, quarantines, and lockdowns have disrupted social connections and routines, leading to feelings of isolation, anxiety and depressive symptomatology. Furthermore, from a physiological perspective, some people continue to experience health problems long after having COVID-19, and these ongoing health problems are sometimes called post-COVID-19 syndrome or post-COVID conditions (PASC). In this complex scenario, through the operationalization of the sense of self and its psychological and physiological baseline, our aim is to try to shed some new light on elements of resilience vs. vulnerability. Here we intend the self and its baseline as the crossroads between psychology and physiology and we show how COVID-19 pandemic, especially in post-COVID-19 syndrome (PACS), left traces in the mind-body-brain system at a neuro-socio-ecological and inflammatory level.
Collapse
Affiliation(s)
- Andrea Scalabrini
- Department of Human and Social Sciences, University of Bergamo, Bergamo, Italy
| | - Mariagrazia Palladini
- University Vita- Salute San Raffaele, Milan, Italy
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Mario Gennaro Mazza
- University Vita- Salute San Raffaele, Milan, Italy
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Clara Mucci
- Department of Human and Social Sciences, University of Bergamo, Bergamo, Italy
| | - Georg Northoff
- The Royal’s Institute of Mental Health Research & University of Ottawa. Brain and Mind Research Institute, Centre for Neural Dynamics, Faculty of Medicine, University of Ottawa, Ottawa, 145 Carling Avenue, Rm. 6435, Ottawa, Ontario, Canada K1Z 7K412
- Mental Health Centre, Zhejiang University School of Medicine, Tianmu Road 305, Hangzhou, Zhejiang Province, 310013, China
- Centre for Cognition and Brain Disorders, Hangzhou Normal University, Tianmu Road 305, Hangzhou, Zhejiang Province, 310013, China
| | - Francesco Benedetti
- University Vita- Salute San Raffaele, Milan, Italy
- Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| |
Collapse
|
13
|
Zhou S, Wei T, Liu X, Liu Y, Song W, Que X, Xing Y, Wang Z, Tang Y. Causal effects of COVID-19 on structural changes in specific brain regions: a Mendelian randomization study. BMC Med 2023; 21:261. [PMID: 37468885 DOI: 10.1186/s12916-023-02952-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 06/19/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Previous studies have found a correlation between coronavirus disease 2019 (COVID-19) and changes in brain structure and cognitive function, but it remains unclear whether COVID-19 causes brain structural changes and which specific brain regions are affected. Herein, we conducted a Mendelian randomization (MR) study to investigate this causal relationship and to identify specific brain regions vulnerable to COVID-19. METHODS Genome-wide association study (GWAS) data for COVID-19 phenotypes (28,900 COVID-19 cases and 3,251,161 controls) were selected as exposures, and GWAS data for brain structural traits (cortical thickness and surface area from 51,665 participants and volume of subcortical structures from 30,717 participants) were selected as outcomes. Inverse-variance weighted method was used as the main estimate method. The weighted median, MR-Egger, MR-PRESSO global test, and Cochran's Q statistic were used to detect heterogeneity and pleiotropy. RESULTS The genetically predicted COVID-19 infection phenotype was nominally associated with reduced cortical thickness in the caudal middle frontal gyrus (β = - 0.0044, p = 0.0412). The hospitalized COVID-19 phenotype was nominally associated with reduced cortical thickness in the lateral orbitofrontal gyrus (β = - 0.0049, p = 0.0328) and rostral middle frontal gyrus (β = - 0.0022, p = 0.0032) as well as with reduced cortical surface area of the middle temporal gyrus (β = - 10.8855, p = 0.0266). These causal relationships were also identified in the severe COVID-19 phenotype. Additionally, the severe COVID-19 phenotype was nominally associated with reduced cortical thickness in the cuneus (β = - 0.0024, p = 0.0168); reduced cortical surface area of the pericalcarine (β = - 2.6628, p = 0.0492), superior parietal gyrus (β = - 5.6310, p = 0.0408), and parahippocampal gyrus (β = - 0.1473, p = 0.0297); and reduced volume in the hippocampus (β = - 15.9130, p = 0.0024). CONCLUSIONS Our study indicates a suggestively significant association between genetic predisposition to COVID-19 and atrophy in specific functional regions of the human brain. Patients with COVID-19 and cognitive impairment should be actively managed to alleviate neurocognitive symptoms and minimize long-term effects.
Collapse
Affiliation(s)
- Shaojiong Zhou
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, 45 Changchun Street, Beijing, 100053, China
| | - Tao Wei
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, 45 Changchun Street, Beijing, 100053, China
| | - Xiaoduo Liu
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, 45 Changchun Street, Beijing, 100053, China
| | - Yufei Liu
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, 45 Changchun Street, Beijing, 100053, China
| | - Weiyi Song
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, 45 Changchun Street, Beijing, 100053, China
| | - Xinwei Que
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, 45 Changchun Street, Beijing, 100053, China
| | - Yi Xing
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, 45 Changchun Street, Beijing, 100053, China.
| | - Zhibin Wang
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, 45 Changchun Street, Beijing, 100053, China.
| | - Yi Tang
- Department of Neurology & Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, 45 Changchun Street, Beijing, 100053, China.
- Neurodegenerative Laboratory of Ministry of Education of the Peoples Republic of China, Beijing, China.
| |
Collapse
|
14
|
Zhu C, Zhang T, Li Q, Chen X, Wang K. Depression and Anxiety During the COVID-19 Pandemic: Epidemiology, Mechanism, and Treatment. Neurosci Bull 2023; 39:675-684. [PMID: 36411394 PMCID: PMC9685018 DOI: 10.1007/s12264-022-00970-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/12/2022] [Indexed: 11/23/2022] Open
Abstract
The Coronavirus Disease 2019 (COVID-19) pandemic has had an adverse impact on the physical and mental health of the public worldwide. In addition to illness in patients with COVID-19, isolated people and the general population have experienced mental health problems due to social distancing policies, mandatory lockdown, and other psychosocial factors, and the prevalence of depression and anxiety significantly increased during the pandemic. The purpose of this review is to elucidate the epidemiology, contributing factors, and pathogenesis of depression and anxiety. during the pandemic. These findings indicate that physicians and psychiatrists should pay more attention to and identify those with a high risk for mental problems, such as females, younger people, unmarried people, and those with a low educational level. In addition, researchers should focus on identifying the neural and neuroimmune mechanisms involved in depression and anxiety, and assess the intestinal microbiome to identify effective biomarkers. We also provide an overview of various intervention methods, including pharmacological treatment, psychological therapy, and physiotherapy, to provide a reference for different populations to guide the development of optimized intervention methods.
Collapse
Affiliation(s)
- Chunyan Zhu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, 230032, China
| | - Ting Zhang
- Department of Psychiatry, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China
| | - Qianqian Li
- Department of Psychiatry, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China
| | - Xingui Chen
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China
| | - Kai Wang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China.
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, 230032, China.
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, China.
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230032, China.
| |
Collapse
|
15
|
Huang S, Zhou X, Zhao W, Du Y, Yang D, Huang Y, Chen Y, Zhang H, Yang G, Liu J, Luo H. Dynamic white matter changes in recovered COVID-19 patients: a two-year follow-up study. Theranostics 2023; 13:724-735. [PMID: 36632218 PMCID: PMC9830428 DOI: 10.7150/thno.79902] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 12/16/2022] [Indexed: 01/06/2023] Open
Abstract
Background and purpose: Long COVID with regard to the neurological system deserves more attention, as a surge of treated patients are being discharged from the hospital. As the dynamic changes in white matter after two years remain unknown, this characteristic was the focus of this study. Methods: We investigated 17 recovered COVID-19 patients at two years after discharge. Diffusion tensor imaging, neurite orientation dispersion and density imaging were performed to identify white matter integrity and changes from one to two years after discharge. Data for 13 revisited healthy controls were collected as a reference. Subscales of the Wechsler Intelligence scale were used to assess cognitive function. Repeated-measures ANOVA was used to detect longitudinal changes in 17 recovered COVID-19 patients and 13 healthy controls after one-year follow-up. Correlations between diffusion metrics, cognitive function, and other clinical characteristics (i.e., inflammatory factors) were also analyzed. Results: Longitudinal analysis showed the recovery trends of large-scale brain regions, with small-scale brain region deterioration from one year to two years after SARS-CoV-2 infection. However, persistent white matter abnormalities were noted at two years after discharge. Longitudinal changes of cognitive function showed no group difference. But cross-sectional cognitive difference between recovered COVID-19 patients and revisited HCs was detected. Inflammation levels in the acute stage correlated positively with white matter abnormalities and negatively with cognitive function. Moreover, the more abnormal the white matter was at two years, the greater was the cognitive deficit present. Conclusion: Recovered COVID-19 patients showed longitudinal recovery trends of white matter. But also had persistent white matter abnormalities at two years after discharge. Inflammation levels in the acute stage may be considered predictors of cognition and white matter integrity, and the white matter microstructure acts as a biomarker of cognitive function in recovered COVID-19 patients. These findings provide an objective basis for early clinical intervention.
Collapse
Affiliation(s)
- Sihong Huang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Xianglin Zhou
- Department of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410005, China
| | - Wei Zhao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Yanyao Du
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Danhui Yang
- Department of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410005, China
| | - Yijie Huang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Yanjing Chen
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Huiting Zhang
- MR Scientific Marketing, Siemens Healthcare Ltd., Wuhan, China
| | - Guang Yang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Jun Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China,Clinical Research Center for Medical Imaging in Hunan Province, Changsha, Hunan 410011, China,Department of Radiology Quality Control Center, Hunan Province, Changsha, Hunan 410011, China,✉ Corresponding authors: Jun Liu, No. 139 Renmin Middle Road, Furong district, Changsha, Hunan, China, and Hong Luo, No. 139 Renmin Middle Road, Furong district, Changsha, Hunan, China,
| | - Hong Luo
- Department of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410005, China,Department of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China,Hunan Diagnosis and Treatment Center of Respiratory Disease, Changsha, Hunan 410011, China,✉ Corresponding authors: Jun Liu, No. 139 Renmin Middle Road, Furong district, Changsha, Hunan, China, and Hong Luo, No. 139 Renmin Middle Road, Furong district, Changsha, Hunan, China,
| |
Collapse
|
16
|
Du Y, Zhao W, Huang S, Huang Y, Chen Y, Zhang H, Guo H, Liu J. Two-year follow-up of brain structural changes in patients who recovered from COVID-19: A prospective study. Psychiatry Res 2023; 319:114969. [PMID: 36462292 PMCID: PMC9684092 DOI: 10.1016/j.psychres.2022.114969] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 11/08/2022] [Accepted: 11/18/2022] [Indexed: 11/25/2022]
Abstract
The long-term effects of COVID-19 on brain structure remain unclear. A prospective study was conducted to explore the changes in brain structure in COVID-19 survivors at one and two years after discharge (COVID-19one, COVID-19two). The difference in gray matter volume (GMV) was analyzed using the voxel-based morphometry method, and correlation analyses were conducted. The dynamic changes in clinical sequelae varied. The GMVs in the cerebellum and vermis were reduced in COVID-19one and COVID-19two, positively correlated with lymphocyte count, and negatively correlated with neutrophil count, neutrophil/lymphocyte ratio (COVID-19one), and systemic immune-inflammation index (COVID-19two). The decreased GMVs in the left middle frontal gyrus, inferior frontal gyrus of the operculum, right middle temporal gyrus, and inferior temporal gyrus returned to normal in COVID-19two. The decreased GMV in the left frontal lobe was negatively correlated with the Athens Insomnia Scale (AIS). The GMV in the left temporal lobe was aggravated in COVID-19two and positively correlated with C-reactive protein. In conclusion, GMV recovery coexisted with injury, which was associated with AIS and inflammatory factors. This may shed some light on the dynamic changes in brain structure and the possible predictors that may be related to GMV changes in COVID-19two.
Collapse
Affiliation(s)
- Yanyao Du
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan Province 410011, China
| | - Wei Zhao
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan Province 410011, China; Clinical Research Center for Medical Imaging in Hunan Province, Changsha, Hunan 410011, China; Department of Radiology Quality Control Center, Changsha, Hunan Province 410011, China
| | - Sihong Huang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan Province 410011, China
| | - Yijie Huang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan Province 410011, China
| | - Yanjing Chen
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan Province 410011, China
| | - Huiting Zhang
- MR Scientific Marketing, Siemens Healthineers Ltd., Wuhan 430000, China
| | - Hu Guo
- MR Application, Siemens Healthineers Ltd., Changsha 410011, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan Province 410011, China; Clinical Research Center for Medical Imaging in Hunan Province, Changsha, Hunan 410011, China; Department of Radiology Quality Control Center, Changsha, Hunan Province 410011, China.
| |
Collapse
|
17
|
Chen XY, Dai YH, Wan XX, Hu XM, Zhao WJ, Ban XX, Wan H, Huang K, Zhang Q, Xiong K. ZBP1-Mediated Necroptosis: Mechanisms and Therapeutic Implications. Molecules 2022; 28. [PMID: 36615244 DOI: 10.3390/molecules28010052] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/17/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
Cell death is a fundamental pathophysiological process in human disease. The discovery of necroptosis, a form of regulated necrosis that is induced by the activation of death receptors and formation of necrosome, represents a major breakthrough in the field of cell death in the past decade. Z-DNA-binding protein (ZBP1) is an interferon (IFN)-inducing protein, initially reported as a double-stranded DNA (dsDNA) sensor, which induces an innate inflammatory response. Recently, ZBP1 was identified as an important sensor of necroptosis during virus infection. It connects viral nucleic acid and receptor-interacting protein kinase 3 (RIPK3) via two domains and induces the formation of a necrosome. Recent studies have also reported that ZBP1 induces necroptosis in non-viral infections and mediates necrotic signal transduction by a unique mechanism. This review highlights the discovery of ZBP1 and its novel findings in necroptosis and provides an insight into its critical role in the crosstalk between different types of cell death, which may represent a new therapeutic option.
Collapse
|
18
|
He S, Wu K, Cheng Z, He M, Hu R, Fan N, Shen L, Li Q, Fan H, Tong Y. Long COVID: The latest manifestations, mechanisms, and potential therapeutic interventions. MedComm (Beijing) 2022; 3:e196. [PMID: 36514781 PMCID: PMC9732402 DOI: 10.1002/mco2.196] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 12/14/2022] Open
Abstract
COVID-19 caused by SARS-CoV-2 infection affects humans not only during the acute phase of the infection, but also several weeks to 2 years after the recovery. SARS-CoV-2 infects a variety of cells in the human body, including lung cells, intestinal cells, vascular endothelial cells, olfactory epithelial cells, etc. The damages caused by the infections of these cells and enduring immune response are the basis of long COVID. Notably, the changes in gene expression caused by viral infection can also indirectly contribute to long COVID. We summarized the occurrences of both common and uncommon long COVID, including damages to lung and respiratory system, olfactory and taste deficiency, damages to myocardial, renal, muscle, and enduring inflammation. Moreover, we provided potential treatments for long COVID symptoms manifested in different organs and systems, which were based on the pathogenesis and the associations between symptoms in different organs. Importantly, we compared the differences in symptoms and frequency of long COVID caused by breakthrough infection after vaccination and infection with different variants of concern, in order to provide a comprehensive understanding of the characteristics of long COVID and propose improvement for tackling COVID-19.
Collapse
Affiliation(s)
- Shi‐ting He
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Kexin Wu
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Zixuan Cheng
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Mengjie He
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Ruolan Hu
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Ning Fan
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Lin Shen
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Qirui Li
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Huahao Fan
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| | - Yigang Tong
- College of Life Science and TechnologyBeijing University of Chemical TechnologyBeijingChina
| |
Collapse
|
19
|
Ma Y, Deng J, Liu Q, Du M, Liu M, Liu J. Long-Term Consequences of COVID-19 at 6 Months and Above: A Systematic Review and Meta-Analysis. Int J Environ Res Public Health 2022; 19. [PMID: 35682448 DOI: 10.3390/ijerph19116865] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/30/2022] [Accepted: 06/01/2022] [Indexed: 02/07/2023]
Abstract
We aimed to review the data available to evaluate the long-term consequences of coronavirus disease 2019 (COVID-19) at 6 months and above. We searched relevant observational cohort studies up to 9 February 2022 in Pubmed, Embase, and Web of Science. Random-effects inverse-variance models were used to evaluate the Pooled Prevalence (PP) and its 95% confidence interval (CI) of long-term consequences. The Newcastle−Ottawa quality assessment scale was used to assess the quality of the included cohort studies. A total of 40 studies involving 10,945 cases of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection were included. Of the patients, 63.87% had at least one consequence at the 6 month follow-up, which decreased to 58.89% at 12 months. The most common symptoms were fatigue or muscle weakness (PP 6−12 m = 54.21%, PP ≥ 12 m = 34.22%) and mild dyspnea (Modified Medical Research Council Dyspnea Scale, mMRC = 0, PP 6−12 m = 74.60%, PP ≥ 12 m = 80.64%). Abnormal computerized tomography (CT; PP 6−12 m = 55.68%, PP ≥ 12 m = 43.76%) and lung diffuse function impairment, i.e., a carbon monoxide diffusing capacity (DLCO) of < 80% were common (PP 6−12 m = 49.10%, PP ≥ 12 m = 31.80%). Anxiety and depression (PP 6−12 m = 33.49%, PP ≥ 12 m = 35.40%) and pain or discomfort (PP 6−12 m = 33.26%, PP ≥ 12 m = 35.31%) were the most common problems that affected patients’ quality of life. Our findings suggest a significant long-term impact on health and quality of life due to COVID-19, and as waves of ASRS-CoV-2 infections emerge, the long-term effects of COVID-19 will not only increase the difficulty of care for COVID-19 survivors and the setting of public health policy but also might lead to another public health crisis following the current pandemic, which would also increase the global long-term burden of disease.
Collapse
|
20
|
Orendáčová M, Kvašňák E. Possible Mechanisms Underlying Neurological Post-COVID Symptoms and Neurofeedback as a Potential Therapy. Front Hum Neurosci 2022; 16:837972. [PMID: 35431842 PMCID: PMC9010738 DOI: 10.3389/fnhum.2022.837972] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 01/26/2022] [Indexed: 12/13/2022] Open
Abstract
Theoretical considerations related to neurological post-COVID complications have become a serious issue in the COVID pandemic. We propose 3 theoretical hypotheses related to neurological post-COVID complications. First, pathophysiological processes responsible for long-term neurological complications caused by COVID-19 might have 2 phases: (1) Phase of acute Sars-CoV-2 infection linked with the pathogenesis responsible for the onset of COVID-19-related neurological complications and (2) the phase of post-acute Sars-CoV-2 infection linked with the pathogenesis responsible for long-lasting persistence of post-COVID neurological problems and/or exacerbation of another neurological pathologies. Second, post-COVID symptoms can be described and investigated from the perspective of dynamical system theory exploiting its fundamental concepts such as system parameters, attractors and criticality. Thirdly, neurofeedback may represent a promising therapy for neurological post-COVID complications. Based on the current knowledge related to neurofeedback and what is already known about neurological complications linked to acute COVID-19 and post-acute COVID-19 conditions, we propose that neurofeedback modalities, such as functional magnetic resonance-based neurofeedback, quantitative EEG-based neurofeedback, Othmer's method of rewarding individual optimal EEG frequency and heart rate variability-based biofeedback, represent a potential therapy for improvement of post-COVID symptoms.
Collapse
Affiliation(s)
- Mária Orendáčová
- Department of Medical Biophysics and Medical Informatics, Third Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Eugen Kvašňák
- Department of Medical Biophysics and Medical Informatics, Third Faculty of Medicine, Charles University in Prague, Prague, Czechia
| |
Collapse
|
21
|
Du Y, Zhao W, Du L, Liu J. Neuropsychiatric symptoms associated with the COVID-19 and its potential nervous system infection mechanism: the role of imaging in the study. Psychoradiology 2021; 1:199-211. [PMID: 38666221 PMCID: PMC10917188 DOI: 10.1093/psyrad/kkab019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/07/2021] [Accepted: 12/01/2021] [Indexed: 04/28/2024]
Abstract
The epidemic of coronavirus disease 2019 (COVID-19) has broken the normal spread mode of respiratory viruses, namely, mainly spread in winter, resulting in over 230 million confirmed cases of COVID-19. Many studies have shown that severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) can affect the nervous system by varying degrees. In this review, we look at the acute neuropsychiatric impacts of COVID-19 patients, including acute ischemic stroke, encephalitis, acute necrotizing encephalopathy, dysosmia, and epilepsy, as well as the long-term neuropsychiatric sequelae of COVID-19 survivors: mental disorder and neurodegenerative diseases. In particular, this review discusses long-term changes in brain structure and function associated with COVID-19 infection. We believe that the traditional imaging sequences are important in the acute phase, while the nontraditional imaging sequences are more meaningful for the detection of long-term neuropsychiatric sequelae. These long-term follow-up changes in structure and function may also help us understand the causes of neuropsychiatric symptoms in COVID-19 survivors. Finally, we review previous studies and discuss some potential mechanisms of SARS-CoV-2 infection in the nervous system. Continuous focus on neuropsychiatric sequelae and a comprehensive understanding of the long-term impacts of the virus to the nervous system is significant for formulating effective sequelae prevention and management strategies, and may provide important clues for nervous system damage in future public health crises.
Collapse
Affiliation(s)
- Yanyao Du
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China
| | - Wei Zhao
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China
- Clinical Research Center for Medical Imaging in Hunan Province, Changsha 410011, Hunan, China
| | - Lei Du
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati 45255, OH, USA
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha 410011, Hunan Province, China
- Clinical Research Center for Medical Imaging in Hunan Province, Changsha 410011, Hunan, China
- Department of Radiology Quality Control Center, Hunan Province, Changsha 410011, Hunan, China
| |
Collapse
|