scholarly journals A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Lijie Huang ◽  
Taicheng Huang ◽  
Zonglei Zhen ◽  
Jia Liu
Keyword(s):  
Resting State ◽  
Brain Activity ◽  
Brain Morphology

Resting State Brain Activity During Long-Term Dry Immersion

2018 ◽  
Vol 89 (7) ◽  
pp. 642-647 ◽  
Author(s):  
Ivan E. Lazarev ◽  
Elena S. Tomilovskaya ◽  
Inesa B. Kozlovskaya
Keyword(s):  
Resting State ◽  
Brain Activity ◽  
Dry Immersion

Chinese Classical Dancers Have Improved Spontaneous Activity in Visual Brain Areas

2021 ◽  
pp. 1-7
Author(s):  
Rou Wen ◽  
Lijuan Hou ◽  
Jilong Shi ◽  
Mi Zhang
Keyword(s):  
Resting State ◽  
Professional Training ◽  
Brain Activity ◽  
Brain Areas ◽  
Classical Dance ◽  
Functional Changes ◽  
Dance Training ◽  
Significant Difference ◽  
Professional Dancers

Abstract. Resting-state functional magnetic resonance imaging (fMRI) studies demonstrate that long-term exercise or dance training may cause changes in brain structure and function. However, the changes of neurofunction in the long-term practitioners of Chinese classical dance are still unclear. The purpose of the study is to explore the neurofunctional alterations associated with long-term Chinese classical dance training. Thirty female college students were selected, 15 students majoring in Chinese classical dance (average training years = 9.73 ± 1.75 years) and 15 education-matched non-dancer students with no previous experience of regular dance training. In this cross-sectional design, the resting-state fMRI data were acquired only once to observe the structural and functional changes of the brain. Compared with non-dancers, professional dancers had no significant difference in the total volume of whole brain, gray matter, white matter, and cerebrospinal fluid. While in professional dancers, we found increased amplitude of low-frequency fluctuation (ALFF) in the left superior occipital gyrus, right Cuneus, and left calcarine fissure and surrounding cortex (Calcarine); increased fractional ALFF and regional homogeneity in the right Calcarine, indicating the increase of spontaneous brain activity in these brain areas. Since these brain areas are related to visual cognitive function, the results suggest that long-term Chinese classical dance training is associated with increased spontaneous regional brain activity in the visual areas. This may be closely related to the specific characteristics of Chinese classical dance and long-term professional training.

scholarly journals Fibromyalgia Detection Based on EEG Connectivity Patterns

2021 ◽  
Vol 10 (15) ◽  
pp. 3277
Author(s):  
Ramón Martín-Brufau ◽  
Manuel Nombela Gómez ◽  
Leyre Sanchez-Sanchez-Rojas ◽  
Cristina Nombela
Keyword(s):  
Clinical Features ◽  
Resting State ◽  
Roc Analysis ◽  
Brain Activity ◽  
Brain Structures ◽  
Source Analysis ◽  
Bioelectrical Activity ◽  
Connectivity Patterns ◽  
Eeg Connectivity

Objective: The identification of a complementary test to confirm the diagnosis of FM. The diagnosis of fibromyalgia (FM) is based on clinical features, but there is still no consensus, so patients and clinicians might benefit from such a test. Recent findings showed that pain lies in neuronal bases (pain matrices) and, in the long term, chronic pain modifies the activity and dynamics of brain structures. Our hypothesis is that patients with FM present lower levels of brain activity and therefore less connectivity than controls. Methods: We registered the resting state EEG of 23 patients with FM and compared them with 23 control subjects’ resting state recordings from the PhysioBank database. We measured frequency, amplitude, and functional connectivity, and conducted source localization (sLORETA). ROC analysis was performed on the resulting data. Results: We found significant differences in brain bioelectrical activity at rest in all analyzed bands between patients and controls, except for Delta. Subsequent source analysis provided connectivity values that depicted a distinct profile, with high discriminative capacity (between 91.3–100%) between the two groups. Conclusions: Patients with FM show a distinct neurophysiological pattern that fits with the clinical features of the disease.

scholarly journals Mindfulness Training Alters Resting-State EEG Dynamics in Novice Practitioners via Mindful Breathing and Body-scan

2021 ◽  
Author(s):  
Hei-Yin Hydra Ng ◽  
Changwei W. Wu ◽  
Feng-Ying Huang ◽  
Yu-Ting Cheng ◽  
Shiao-Fei Guu ◽  
...  
Keyword(s):  
Stress Reduction ◽  
Resting State ◽  
Brain Activity ◽  
Mindfulness Training ◽  
Body Scan ◽  
Spectral Changes ◽  
Mindfulness Practices ◽  
Internal Processing

AbstractMindfulness-based stress reduction (MBSR) has been proven to improve mental health and quality of life. This study examined how mindfulness training and various types of mindfulness practices altered brain activity. Specifically, the spectral powers of scalp electroencephalography (EEG) of the MBSR group who underwent an 8-week mindfulness training—including mindful breathing and body-scan—were evaluated and compared with those of the waitlist controls. Empirical results indicated that the long-term mindfulness intervention effect significantly elevated the resting-state beta powers and reduced resting-state delta powers in both practices; such changes were not observed in the waitlist control. Compared with mindful breathing, body-scanning resulted in an overall decline in EEG spectral powers at both delta and gamma bands among trained participants. Together with our preliminary data of expert mediators, the aforementioned spectral changes were salient after intervention, but mitigated along with expertise. Additionally, after receiving training, the MBSR group’s mindfulness and emotion regulation levels improved significantly, which were correlated with the EEG spectral changes in the theta, alpha, and low-beta bands. This study elaborated the neurophysiological correlates of mindfulness practices, suggesting that MBSR might function as a unique internal processing that involves increased vigilant capability and induces alterations similar to other cognitive training.

scholarly journals Trait Self-Control Mediates the Association Between Resting-State Neural Correlates and Emotional Well-Being in Late Adolescence

2021 ◽  
Author(s):  
Qingqing Li ◽  
Guangcan Xiang ◽  
Shiqing Song ◽  
Mingyue Xiao ◽  
Hong Chen
Keyword(s):  
Resting State ◽  
Brain Activity ◽  
Inferior Frontal Gyrus ◽  
Brain Networks ◽  
Low Frequency ◽  
Well Being ◽  
Neural Correlates ◽  
Self Control ◽  
Emotional Wellness

Abstract Trait self-control (TSC), defined as the capacity to alter predominant response to promote desirable long-term goals, has been found to facilitate emotional well-being (EWB). However, the neural correlates underlying this association remain unclear. The present study estimated resting-state brain activity and connectivity with amplitude of low-frequency fluctuations (ALFF) and functional connectivity (rsFC) among late adolescents. Whole-brain correlation analysis showed that higher TSC was associated with increased ALFF in regions within the executive control network (inferior frontal gyrus, IFG) and the salience network (anterior insula, AI) and decreased ALFF in regions (e.g., medial frontal gyrus, MFG; posterior cingulate, PC) within the default-mode network (DMN). TSC was also linked with the integration (e.g., increased IFG-PC connectivity) and segregation (e.g., decreased AI-MFG connectivity) among brain networks. Mediation analysis indicated that TSC totally mediated the links from the IFG and the precuneus, FC of the AI and regions of the DMN (e.g., bilateral PC, MFG), to EWB. Additionally, ALFF in the IFG and the MFG could predict negative affect in the pandemic through TSC. These findings suggest that TSC is involved in several regions and functional organizations within and between brain networks and mediated the association between neural correlates and emotional wellness in adolescence.

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