Spectral specific standardized low-resolution brain electromagnetic tomography default mode connectivity network and plasticity alterations in left vertebral artery stent patients

Objective: Vertebral stenting is a valid treatment for posterior stroke. However, the outcome and prognostic factors in the Asian population of vertebral stent are not clear. This study was performed to investigate the quick effect and plasticity alterations of left vertebral artery stenting treatment and to explore the underlying electroencephalogram biomarkers for the prognosis. Method: Electroencephalogram default mode network activity, serum brain-derived neurotrophic factor, and basic neuropsychology estimations were obtained from nine male left vertebral artery stenosis patients who underwent left vertebral artery stenting 24 h before and after left vertebral artery stenting therapy. Result: The beta-1 (13–24 Hz) electroencephalogram field power of the pre–left vertebral artery stenting group was significantly higher compared to that of the post–left vertebral artery stenting and control group ( p < 0.05). The significant different standardized low-resolution brain electromagnetic tomography brain areas of beta-1 band Brodmann areas are 17R, 17L, 18R, 18L, 22R, 22L, 37R, and 37L. The nonliner lag ratio–based functional connectivity analysis showed global increase of connectivity in beta-1 standardized low resolution brain electromagnetic tomography network. Serum brain-derived neurotrophic factor did not show statistically significant changes during groups. Conclusion: Electroencephalogram default mode network provided a functional aspect of left vertebral artery stenting patients, and the beta-1 band power and distribution alterations could be candidate measurements for the plasticity alterations and prognosis evaluation.

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Default mode network connectivity and brain derived neurotrophic factor in brain stimulation of traumatic brain injury patients

Brain Stimulation ◽

10.1016/j.brs.2021.10.146 ◽

2021 ◽

Vol 14 (6) ◽

pp. 1633

Author(s):

Maheen Adamson ◽

M. Windy McNerney ◽

Shan Siddiqi ◽

Girish Swaminath ◽

Lien-Lien Wu ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Brain Stimulation ◽

Default Mode Network ◽

Neurotrophic Factor ◽

Network Connectivity ◽

Brain Derived Neurotrophic Factor ◽

Default Mode ◽

Stimulation Of

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Enhanced Power Within the Default Mode Network in Normal Subjects with Elevated Scores on an Egocentric Scale

The Open Neuroimaging Journal ◽

10.2174/1874440001408010005 ◽

2014 ◽

Vol 8 (1) ◽

pp. 5-10 ◽

Cited By ~ 1

Author(s):

Mark W.G Collins ◽

Michael A Persinger

Keyword(s):

Left Hemisphere ◽

Default Mode Network ◽

Right Hemisphere ◽

Normal Subjects ◽

The Self ◽

Low Resolution ◽

Default Mode ◽

Electromagnetic Tomography ◽

Global Power ◽

The Right

Integrated global power from the primary structures that composed the Default Mode Network (DMN) and from a random collection of other structures were measured by sLORETA (standardized low-resolution electromagnetic tomography) for young university volunteers who had completed an inventory that contained a subscale by which egocentricity has been inferred. Subjects who exhibited higher scores for egocentricity displayed significantly more power within the DMN structures relative to comparison areas. This was not observed for individuals whose egocentricity scores were lowest where the power differences between the DMN and comparison structures were not significant statistically. DMN power was greater in the right hemisphere than the left for men but greater in the left hemisphere than the right for women. The results are consistent with our operating metaphor that elevation of power or activity within the DMN is associated with greater affiliation with the self and its cognitive contents.

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Auswirkungen von repetitiver TMS auf Negativsymptomatik und EEG-Topographie schizophrener Patienten, dargestellt mit Low Resolution Brain Electromagnetic Tomography (LORETA): Eine Pilotstudie

Klinische Neurophysiologie ◽

10.1055/s-2003-816458 ◽

2003 ◽

Vol 34 (03) ◽

Author(s):

M Jandl ◽

R Bittner ◽

A Sack ◽

B Weber ◽

T Günther ◽

...

Keyword(s):

Low Resolution ◽

Electromagnetic Tomography ◽

Brain Electromagnetic

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Diagnosing and treating brain function through the use of low resolution brain electromagnetic tomography (LORETA)

Introduction to Quantitative EEG and Neurofeedback ◽

10.1016/b978-0-12-374534-7.00004-6 ◽

2009 ◽

pp. 83-102 ◽

Cited By ~ 5

Author(s):

Leslie H. Sherlin

Keyword(s):

Brain Function ◽

Low Resolution ◽

Electromagnetic Tomography ◽

Brain Electromagnetic

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Location of Brain Electrical Source Activation according to Visually Stimulated Sexual Arousal: A Cross Spectral Analysis using Low Resolution Brain Electromagnetic Tomography (LORETA)

Korean Journal of Urology ◽

10.4111/kju.2006.47.7.779 ◽

2006 ◽

Vol 47 (7) ◽

pp. 779 ◽

Cited By ~ 2

Author(s):

Sung Chul Kam ◽

See Min Choi ◽

Sung Uk Jeh ◽

Jeong Seok Hwa ◽

Ky Hyun Jung ◽

...

Keyword(s):

Spectral Analysis ◽

Sexual Arousal ◽

Low Resolution ◽

Electromagnetic Tomography ◽

Brain Electromagnetic ◽

Electrical Source

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Spectrum-specific encephalography standardized low-resolution brain electromagnetic tomography network and gray matter correlations in vascular dementia patients

International Journal of Distributed Sensor Networks ◽

10.1177/1550147719895960 ◽

2020 ◽

Vol 16 (1) ◽

pp. 155014771989596

Author(s):

Yan Lv ◽

Huijuan Chen ◽

Zhiyan Sui ◽

Yingliu Huang ◽

Shixiong Huang ◽

...

Keyword(s):

Vascular Dementia ◽

Topological Analysis ◽

Cognitive Disorder ◽

Voxel Based Morphometry ◽

Low Resolution ◽

Mild Dementia ◽

Electromagnetic Tomography ◽

Brain Electromagnetic ◽

Dementia Patients ◽

Tomography Analysis

Vascular dementia, secondary to Alzheimer’s dementia, ranks as one of the most frequent dementia types. The process of vascular dementia is divergent with other neurodegenerative dementias and thus reversible at the early cognitive disorder or mild dementia stages. The encephalography and neuroimaging data mining at different stages would bring neuromodulation strategies in practice; 15 mild cognitive impairment patients and 16 mild vascular dementia patients as well as 17 cognitive healthy controls were screened in this study. Cognitive tests such as Mini-Mental State Examination, Montreal cognitive assessment, voxel-based morphometry, electroencephalography, and standardized low-resolution brain electromagnetic tomography connectivity network were conducted. Compared with healthy group, voxel-based morphometry analysis showed a decrease in gray/cerebrospinal fluid ratio ( p < .05) in mild dementia group; the energy power of gamma band decreased ( p < .05) in mild dementia group; and electroencephalography standardized low-resolution brain electromagnetic tomography analysis showed wider frontal and temporal lobe involvement in mild dementia patients ( p < .05). Network topological analysis screened top 10 key Brodmann areas (44R, 7R, 8L, 22L, 47L, 27L, 1L, 1R, 7R, 43L), which could be underlying neuromodulators for dementia patients. Electroencephalography as well as structural magnetic resonance imaging could be used for the evaluation of cognitive disorder patients. The spectrum-specific standardized low-resolution brain electromagnetic tomography analysis and connectivity network analysis could shed light on the neuromodulator targets in the early phase of dementia.

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EEG Mapping and Low-Resolution Brain Electromagnetic Tomography (LORETA) in Diagnosis and Therapy of Psychiatric Disorders: Evidence for a Key-Lock Principle

Clinical EEG and Neuroscience ◽

10.1177/155005940503600210 ◽

2005 ◽

Vol 36 (2) ◽

pp. 108-115 ◽

Cited By ~ 23

Author(s):

Bernd Saletu ◽

Peter Anderer ◽

Gerda M. Saletu-Zyhlarz ◽

Roberto D. Pascual-Marqui

Keyword(s):

Psychiatric Disorders ◽

Brain Function ◽

Senile Dementia ◽

Normal Subjects ◽

Low Resolution ◽

Specific Patient ◽

Compulsive Disorder ◽

Electromagnetic Tomography ◽

Brain Electromagnetic ◽

Normal Controls

Different psychiatric disorders, such as schizophrenia with predominantly positive and negative symptomatology, major depression, generalized anxiety disorder, agoraphobia, obsessive-compulsive disorder, multi-infarct dementia, senile dementia of the Alzheimer type and alcohol dependence, show EEG maps that differ statistically both from each other and from normal controls. Representative drugs of the main psychopharmacological classes, such as sedative and non-sedative neuroleptics and antidepressants, tranquilizers, hypnotics, psychostimulants and cognition-enhancing drugs, induce significant and typical changes to normal human brain function, which in many variables are opposite to the above-mentioned differences between psychiatric patients and normal controls. Thus, by considering these differences between psychotropic drugs and placebo in normal subjects, as well as between mental disorder patients and normal controls, it may be possible to choose the optimum drug for a specific patient according to a keylock principle, since the drug should normalize the deviant brain function. This is supported by 3–dimensional low-resolution brain electromagnetic tomography (LORETA), which identifies regions within the brain that are affected by psychiatric disorders and psychopharmacological substances.

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