Frequency-Dependent Modulation of Regional Synchrony in the Human Brain by Eyes Open and Eyes Closed Resting-States

Because the human brain consumes a disproportionate fraction of the resting body’s energy, positron emission tomography (PET) measurements of absolute glucose metabolism (CMRglc) can serve as disease biomarkers. Global mean normalization (GMN) of PET data reveals disease-based differences from healthy individuals as fractional changes across regions relative to a global mean. To assess the impact of GMN applied to metabolic data, we compared CMRglc with and without GMN in healthy awake volunteers with eyes closed (i.e., control) against specific physiological/clinical states, including healthy/awake with eyes open, healthy/awake but congenitally blind, healthy/sedated with anesthetics, and patients with disorders of consciousness. Without GMN, global CMRglc alterations compared to control were detected in all conditions except in congenitally blind where regional CMRglc variations were detected in the visual cortex. However, GMN introduced regional and bidirectional CMRglc changes at smaller fractions of the quantitative delocalized changes. While global information was lost with GMN, the quantitative approach (i.e., a validated method for quantitative baseline metabolic activity without GMN) not only preserved global CMRglc alterations induced by opening eyes, sedation, and varying consciousness but also detected regional CMRglc variations in the congenitally blind. These results caution the use of GMN upon PET-measured CMRglc data in health and disease.

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A Novel Machine Learning Classification Model for Human Brain States Based on Spatio-Temporal Spectral Profile: An Example of Eyes-Open/Eyes-Closed fMRI Data

10.1109/eiecs53707.2021.9588048 ◽

2021 ◽

Author(s):

Yulong Xiong ◽

Ning Wang ◽

Qin Yu ◽

Cunhua Li ◽

Heng Li ◽

...

Keyword(s):

Machine Learning ◽

Human Brain ◽

Classification Model ◽

Fmri Data ◽

Spectral Profile ◽

Machine Learning Classification ◽

Eyes Closed ◽

Eyes Open ◽

Brain States ◽

Spatio Temporal

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Different topological organization of human brain functional networks with eyes open versus eyes closed

NeuroImage ◽

10.1016/j.neuroimage.2013.12.060 ◽

2014 ◽

Vol 90 ◽

pp. 246-255 ◽

Cited By ~ 73

Author(s):

Pengfei Xu ◽

Ruiwang Huang ◽

Jinhui Wang ◽

Nicholas T. Van Dam ◽

Teng Xie ◽

...

Keyword(s):

Human Brain ◽

Functional Networks ◽

Eyes Closed ◽

Brain Functional Networks ◽

Eyes Open ◽

Topological Organization ◽

Open Versus

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Odor and Subject Identification Using Electroencephalography Reaction to Olfactory

Traitement du signal ◽

10.18280/ts.370512 ◽

2020 ◽

Vol 37 (5) ◽

pp. 799-805

Author(s):

Onder Aydemir

Keyword(s):

Human Brain ◽

Eyes Closed ◽

Band Power ◽

Lotus Flower ◽

Eyes Open ◽

Subject Identification ◽

Set Up ◽

Model Features ◽

Accuracy Rates ◽

The Brain

It is certain that the human brain responds to all kinds of inputs such as feeling, sound, light, and odor. However, to the best of our knowledge, limited works have investigated the response of the human brain to different inputs, especially in eyes-open and eyes-closed (EO & EC) conditions. Due to its fine temporal resolution, portability, noninvasiveness, and low set-up costs, electroencephalography (EEG) is one of the most practical way to evaluate the response of the brain to different inputs. In this study, the brain reactions to olfactory were analyzed, and two identifications were done, which were odor and subject. The brain reactions were captured by EEG from five healthy subjects during smelling of valerian, lotus flower, cheese, and rosewater odors in EO & EC conditions. We tested band power, statistical data, Hjorth parameters, and autoregressive model features and achieved the highest average classification accuracy rates of 96.94% and 99.34% for odor and subject identifications, respectively. The obtained results proved that the olfactory response of the human brain in EO & EC conditions can be reliably used for odor and subject identifications.

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The Cuban Human Brain Mapping Project, a young and middle age population-based EEG, MRI, and cognition dataset

Scientific Data ◽

10.1038/s41597-021-00829-7 ◽

2021 ◽

Vol 8 (1) ◽

Author(s):

Pedro A. Valdes-Sosa ◽

Lidice Galan-Garcia ◽

Jorge Bosch-Bayard ◽

Maria L. Bringas-Vega ◽

Eduardo Aubert-Vazquez ◽

...

Keyword(s):

Human Brain ◽

Brain Mapping ◽

Middle Age ◽

Population Based ◽

Magnetic Resonance Images ◽

Human Brain Mapping ◽

Eyes Closed ◽

Eeg Data ◽

Eyes Open ◽

Age Range

AbstractThe Cuban Human Brain Mapping Project (CHBMP) repository is an open multimodal neuroimaging and cognitive dataset from 282 young and middle age healthy participants (31.9 ± 9.3 years, age range 18–68 years). This dataset was acquired from 2004 to 2008 as a subset of a larger stratified random sample of 2,019 participants from La Lisa municipality in La Habana, Cuba. The exclusion criteria included the presence of disease or brain dysfunctions. Participant data that is being shared comprises i) high-density (64–120 channels) resting-state electroencephalograms (EEG), ii) magnetic resonance images (MRI), iii) psychological tests (MMSE, WAIS-III, computerized go-no go reaction time), as well as iv,) demographic information (age, gender, education, ethnicity, handedness, and weight). The EEG data contains recordings with at least 30 minutes in duration including the following conditions: eyes closed, eyes open, hyperventilation, and subsequent recovery. The MRI consists of anatomical T1 as well as diffusion-weighted (DWI) images acquired on a 1.5 Tesla system. The dataset presented here is hosted by Synapse.org and available at https://chbmp-open.loris.ca.

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The Cuban Human Brain Mapping Project population based normative EEG, MRI, and Cognition dataset

10.1101/2020.07.08.194290 ◽

2020 ◽

Author(s):

Pedro A. Valdes-Sosa ◽

Lidice Galan ◽

Jorge Bosch-Bayard ◽

Maria L. Bringas Vega ◽

Eduardo Aubert Vazquez ◽

...

Keyword(s):

Human Brain ◽

Brain Mapping ◽

Population Based ◽

General Information ◽

Magnetic Resonance Images ◽

Adult Intelligence Scale ◽

Wechsler Adult Intelligence Scale ◽

Human Brain Mapping ◽

Eyes Closed ◽

Eyes Open

AbstractThe Cuban Human Brain Mapping Project (CHBMP) repository is an open multimodal neuroimaging and cognitive dataset from 282 healthy participants (31.9 ± 9.3 years, age range 18–68 years). This dataset was acquired from 2004 to 2008 as a subset of a larger stratified random sample of 2,019 participants from La Lisa municipality in La Habana, Cuba. The exclusion included presence of disease or brain dysfunctions. The information made available for all participants comprises: high-density (64-120 channels) resting state electroencephalograms (EEG), magnetic resonance images (MRI), psychological tests (MMSE, Wechsler Adult Intelligence Scale -WAIS III, computerized reaction time tests using a go no-go paradigm), as well as general information (age, gender, education, ethnicity, handedness and weight). The EEG data contains recordings with at least 30 minutes duration including the following conditions: eyes closed, eyes open, hyperventilation and subsequent recovery. The MRI consisted in anatomical T1 and T2 as well as diffusion weighted (DWI) images acquired on a 1.5 Tesla system. The data is available for registered users on the LORIS database which is part of the MNI neuroinformatics ecosystem.

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A systematic review and meta-analysis on efficacy of exercise on posture and balance in patients suffering from Diabetic Neuropathy

Current Diabetes Reviews ◽

10.2174/1573399816666200703190437 ◽

2020 ◽

Vol 16 ◽

Author(s):

Neerja Thukral ◽

Jaspreet Kaur ◽

Manoj Malik

Keyword(s):

Diabetes Mellitus ◽

Diabetic Neuropathy ◽

Meta Analysis ◽

Berg Balance Scale ◽

Risk Of Bias ◽

Core Stability ◽

Balance Scale ◽

Eyes Closed ◽

Significant Difference ◽

Eyes Open

Background: Peripheral neuropathy is a major and chronic complication of diabetes mellitus affecting more than 50% of patients suffering from diabetes. There is involvement of both large and small diameter nerve fibres leading to altered somatosensory and motor sensations, thereby causing impaired balance and postural instability. Objective: To assess the effects of exercises on posture and balance in patients suffering from diabetes mellitus. Method: Mean changes in Timed Up and Go test(TUGT), Berg Balance Scale and Postural Sway with eyes open and eyes closed on Balance System were primary outcome measures. RevMan 5.3 software was used for the meta-analyses. Eighteen randomized controlled trials met the selection criteria and were included in the study. All the studies ranked high on PEDro Rating scale. Risk of bias was assessed by Cochrane collaboration tool of risk of bias. Included studies had low risk of bias. Sixteen RCT’s were included for the meta-analysis. Result: Results of meta-analysis showed that there was statistically significant improvement in TUGT with p≤ 0.05 and substantial heterogeneity (I 2 = 84%, p < 0.00001) in experimental group as compared to control group. There was statistically significant difference in Berg Balance Scale scores and heterogeneity of I 2 = 62%, p < 0.00001 and significant changes in postural stability (eyes open heterogeneity of I 2 = 100%, p =0.01 and eyes closed, heteogeneity I 2 = 0%, p =0.01). Sensitivity analysis causes change in heterogeneity. Conclusion: It can be concluded that various exercises like balance training, core stability, Tai-Chi, proprioceptive training etc. have a significant effect in improving balance and posture in diabetic neuropathy.

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Gender Differences in Postural Stability among 13-Year-Old Alpine Skiers

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17113859 ◽

2020 ◽

Vol 17 (11) ◽

pp. 3859 ◽

Cited By ~ 1

Author(s):

Agnieszka D. Jastrzębska

Keyword(s):

Gender Differences ◽

Postural Balance ◽

Lactate Concentration ◽

Blood Lactate Concentration ◽

Body Sway ◽

Foot Pressure ◽

Eyes Closed ◽

Before And After ◽

Eyes Open ◽

Alpine Skiers

This experiment examined changes in body sway after Wingate test (WAnT) in 19 adolescents practicing alpine skiing, subjected to the same type of training load for 4–5 years (10 girls and nine boys). The postural examinations were performed with eyes open (EO), eyes closed (EC), and sway reverenced vision (SRV) in the medial-lateral (ML) and anterior-posterior (AP) planes. The displacement of center of foot pressure (CoP), range of sway (RS), mean sway velocity (MV), way length, and surface area were measured in bipedal upright stance before and after the WAnT to assess the influence of fatigue on postural balance. There were no significant differences in WAnT parameters between girls and boys. Relative peak power (RPP), relative total work (RWtot) were (girls vs. boys) 8.89 ± 0.70 vs. 9.57 ± 1.22 W/kg, p < 0.05 and 227.91 ± 14.98 vs. 243.22 ± 30.24 W/kg, p < 0.05 respectively. The fatigue index (FI) was also on similar level in both genders; however, blood lactate concentration (BLa) was significantly higher in boys (10.35 ± 1.16 mM) than in girls (8.67 ± 1.35 mM) p = 0.007. In the EO examination, statistically significant differences between resting and fatigue conditions in the whole group and after the division into girls and boys were found. In fatigue conditions, significant gender differences were noted for measurements in the ML plane (sway path and RS) and RS in the AP plane. Comparison of the three conditions shows differences between EO vs. EC and SRV in AP plane measured parameters, and for RS in ML plane in rest condition in girls. The strong correlations between FI and CoP parameters mainly in ML plane in the whole group for all examination conditions were noted. By genders, mainly RS in ML plane strongly correlates with FI (r > 0.7). No correlation was found between BLa and CoP parameters (p > 0.06). The presented results indicate that subjecting adolescents of both genders to the same training may reduce gender differences in the postural balance ability at rest but not in fatigue conditions and that girls are significantly superior in postural balance in the ML plane than boys. It was also shown that too little or too much information may be destructive to postural balance in young adolescents.

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The effect of congenital blindness on resting-state functional connectivity revisited

Scientific Reports ◽

10.1038/s41598-021-91976-9 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Maria J. S. Guerreiro ◽

Madita Linke ◽

Sunitha Lingareddy ◽

Ramesh Kekunnaya ◽

Brigitte Röder

Keyword(s):

Functional Connectivity ◽

Resting State ◽

Visual Experience ◽

Brain Regions ◽

State Condition ◽

Resting State Functional Connectivity ◽

Congenital Blindness ◽

Eyes Closed ◽

Congenitally Blind ◽

Eyes Open

AbstractLower resting-state functional connectivity (RSFC) between ‘visual’ and non-‘visual’ neural circuits has been reported as a hallmark of congenital blindness. In sighted individuals, RSFC between visual and non-visual brain regions has been shown to increase during rest with eyes closed relative to rest with eyes open. To determine the role of visual experience on the modulation of RSFC by resting state condition—as well as to evaluate the effect of resting state condition on group differences in RSFC—, we compared RSFC between visual and somatosensory/auditory regions in congenitally blind individuals (n = 9) and sighted participants (n = 9) during eyes open and eyes closed conditions. In the sighted group, we replicated the increase of RSFC between visual and non-visual areas during rest with eyes closed relative to rest with eyes open. This was not the case in the congenitally blind group, resulting in a lower RSFC between ‘visual’ and non-‘visual’ circuits relative to sighted controls only in the eyes closed condition. These results indicate that visual experience is necessary for the modulation of RSFC by resting state condition and highlight the importance of considering whether sighted controls should be tested with eyes open or closed in studies of functional brain reorganization as a consequence of blindness.

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Gait Stability Measurement by Using Average Entropy

Entropy ◽

10.3390/e23040412 ◽

2021 ◽

Vol 23 (4) ◽

pp. 412

Author(s):

Han-Ping Huang ◽

Chang Francis Hsu ◽

Yi-Chih Mao ◽

Long Hsu ◽

Sien Chi

Keyword(s):

Postural Stability ◽

Multiscale Entropy ◽

Gait Stability ◽

Eyes Closed ◽

Stride Interval ◽

Step Interval ◽

Stability Measurement ◽

Eyes Open ◽

Two Measures ◽

Better Than

Gait stability has been measured by using many entropy-based methods. However, the relation between the entropy values and gait stability is worth further investigation. A research reported that average entropy (AE), a measure of disorder, could measure the static standing postural stability better than multiscale entropy and entropy of entropy (EoE), two measures of complexity. This study tested the validity of AE in gait stability measurement from the viewpoint of the disorder. For comparison, another five disorders, the EoE, and two traditional metrics methods were, respectively, used to measure the degrees of disorder and complexity of 10 step interval (SPI) and 79 stride interval (SI) time series, individually. As a result, every one of the 10 participants exhibited a relatively high AE value of the SPI when walking with eyes closed and a relatively low AE value when walking with eyes open. Most of the AE values of the SI of the 53 diseased subjects were greater than those of the 26 healthy subjects. A maximal overall accuracy of AE in differentiating the healthy from the diseased was 91.1%. Similar features also exists on those 5 disorder measurements but do not exist on the EoE values. Nevertheless, the EoE versus AE plot of the SI also exhibits an inverted U relation, consistent with the hypothesis for physiologic signals.

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