Since the outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic in 2019, there have been more than 486 million cumulative cases worldwide and more than 6 million deaths. Despite the commonly discussed mortality rate of the virus, the aftereffect of COVID-19 sequela has already become an inevitable topic for the global society. Since early studies confirmed that shrinkage of brain size would happen even for mild-infected cases, the impact of this change remained not easily visible compared to the visible clinical symptoms. On the other hand, the development of non-invasive brain imaging techniques enabled a safe, reliable, and massive study of these potential impacts. The studies concerning this topic will not only raise awareness of the potential social impact of the post-COVID-19 society but will help more relative sectors find out a more reasonable and more effective procedure to deal with the coming challenges.
This research topic will address the influence of COVID-19 sequelae on human psychological behavior, emotion, cognitive functions, interpersonal reactions, etc., using the latest non-invasive brain imaging technology. It aims to cover recent research directions and activities dedicated to analyzing psychological, interpersonal, and physiological changes between COVID rehabilitated patients and healthy subjects. It will bring together scientists and clinicians with broad backgrounds (such as mathematics and statistics, neural science, artificial intelligence, computational biology, social sciences, psychology, psychiatry, and medical health care) to promote the investigation of COVID sequelae. It will be a platform to link the latest non-invasive brain imaging techniques to one of the most challenging topics in recent years.
The topic will accept qualified papers from the following scopes:
1. Using non-invasive brain imaging techniques such as functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), electroencephalography (EEG), hyper-scanning, magnetoencephalography (MEG), signal photon emission computed tomography (SPECT), etc., to investigate COVID-19 sequelae including fatigues, emotional changes, interpersonal reactions, and other changes in cognitive functions;
2. Research concerning the changes in the severity of COVID-19 sequelae with respect to time;
3. Investigation of medical treatment of the sequelae monitored by non-invasive brain imaging techniques;
4. Tools, devices, or technology based on non-invasive brain imaging to track the impacts of sequelae;
5. Models or algorithms to evaluate the severity or mechanism of sequelae using non-invasive brain imaging techniques.
Only regular research papers will be accepted for the first launch of the topic.
The topic was proposed by Dr. Ruisen Huang, School of Mechanical Engineering, Shenzhen Institutes of Advanced Technology (SIAT). His current research interests include brain computer interfaces (BCIs, including real-time BCI systems), functional near-infrared spectroscopy (fNIRS), and biomedical signal processing.
Since the outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic in 2019, there have been more than 486 million cumulative cases worldwide and more than 6 million deaths. Despite the commonly discussed mortality rate of the virus, the aftereffect of COVID-19 sequela has already become an inevitable topic for the global society. Since early studies confirmed that shrinkage of brain size would happen even for mild-infected cases, the impact of this change remained not easily visible compared to the visible clinical symptoms. On the other hand, the development of non-invasive brain imaging techniques enabled a safe, reliable, and massive study of these potential impacts. The studies concerning this topic will not only raise awareness of the potential social impact of the post-COVID-19 society but will help more relative sectors find out a more reasonable and more effective procedure to deal with the coming challenges.
This research topic will address the influence of COVID-19 sequelae on human psychological behavior, emotion, cognitive functions, interpersonal reactions, etc., using the latest non-invasive brain imaging technology. It aims to cover recent research directions and activities dedicated to analyzing psychological, interpersonal, and physiological changes between COVID rehabilitated patients and healthy subjects. It will bring together scientists and clinicians with broad backgrounds (such as mathematics and statistics, neural science, artificial intelligence, computational biology, social sciences, psychology, psychiatry, and medical health care) to promote the investigation of COVID sequelae. It will be a platform to link the latest non-invasive brain imaging techniques to one of the most challenging topics in recent years.
The topic will accept qualified papers from the following scopes:
1. Using non-invasive brain imaging techniques such as functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), electroencephalography (EEG), hyper-scanning, magnetoencephalography (MEG), signal photon emission computed tomography (SPECT), etc., to investigate COVID-19 sequelae including fatigues, emotional changes, interpersonal reactions, and other changes in cognitive functions;
2. Research concerning the changes in the severity of COVID-19 sequelae with respect to time;
3. Investigation of medical treatment of the sequelae monitored by non-invasive brain imaging techniques;
4. Tools, devices, or technology based on non-invasive brain imaging to track the impacts of sequelae;
5. Models or algorithms to evaluate the severity or mechanism of sequelae using non-invasive brain imaging techniques.
Only regular research papers will be accepted for the first launch of the topic.
The topic was proposed by Dr. Ruisen Huang, School of Mechanical Engineering, Shenzhen Institutes of Advanced Technology (SIAT). His current research interests include brain computer interfaces (BCIs, including real-time BCI systems), functional near-infrared spectroscopy (fNIRS), and biomedical signal processing.
