Modeling Treatment Response to Transcranial Magnetic Stimulation Using an Exponential Decay Function

Moisture content in coal is an important factor affecting the coal seam gas extraction. It directly affects the storage and flow of gas in bituminous coal. In this paper, the cylindrical bituminous coal cores of Xutuan coal mine in Huaibei coal mine group were studied as experimental objects, using the laboratory self-designed experimental device Gas Adsorption and Strain Testing Apparatus system. The influence of the bituminous coal moisture content on gas adsorption characteristics was studied. Drying experiments of coal samples showed that they lose the original moisture content following the exponential decay function of time. At wetting, the saturated moisture content in coal samples increased following the Exponential Association function of time. The experimental results show that the average original moisture content and average saturated moisture content of raw coal samples are 1.3 and 2.4%, respectively. On this basis, the gas adsorption experiments on samples with different moisture contents under different gas pressures were carried out. With the moisture content increase, the gas adsorption capacity and saturation value decreased and the decrease rate gradually reduced. The single exponential decay function describes the gas adsorption capacity dependence on moisture content. Moisture content also affects the adsorption deformation of bituminous coal. At high moisture content, the adsorption deformation of bituminous coal is less.

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Oxolipidomics profile in major depressive disorder: Comparing remitters and non-remitters to repetitive transcranial magnetic stimulation treatment

PLoS ONE ◽

10.1371/journal.pone.0246592 ◽

2021 ◽

Vol 16 (2) ◽

pp. e0246592

Author(s):

Hannah Stirton ◽

Benjamin P. Meek ◽

Andrea L. Edel ◽

Zahra Solati ◽

Arun Surendran ◽

...

Keyword(s):

Oxidative Stress ◽

Major Depressive Disorder ◽

Transcranial Magnetic Stimulation ◽

Depressive Disorder ◽

Treatment Response ◽

Magnetic Stimulation ◽

Rating Scale ◽

Repetitive Transcranial Magnetic Stimulation ◽

Major Depressive ◽

Predict Treatment Response

Background Repetitive Transcranial Magnetic Stimulation [rTMS] is increasingly being used to treat Major Depressive Disorder [MDD]. Given that not all patients respond to rTMS, it would be clinically useful to have reliable biomarkers that predict treatment response. Oxidized phosphatidylcholine [OxPC] and some oxylipins are important plasma biomarkers of oxidative stress and inflammation. Not only is depression associated with oxidative stress, but rTMS has been shown to have anti-oxidative effects. Objectives To investigate whether plasma oxolipidomics profiles could predict treatment response in patients with treatment resistant MDD. Methods Fourty-eight patients undergoing rTMS treatment for MDD were recruited along with nine healthy control subjects. Plasma OxPCs and oxylipins were extracted and analyzed through high performance liquid chromatography coupled with mass spectrometry. Patients with a Hamilton Depression Rating Scale score [Ham-D] ≤7 post-treatment were defined as having entered remission. Results Fifty-seven OxPC and 32 oxylipin species were identified in our subjects. MDD patients who entered remission following rTMS had significantly higher pre-rTMS levels of total and fragmented OxPCs compared to non-remitters and controls [one-way ANOVA, p<0.05]. However, no significant changes in OxPC levels were found as a result of rTMS, regardless of treatment response [p>0.05]. No differences in plasma oxylipins were found between remitters and non-remitters at baseline. Conclusion Certain categories of OxPCs may be useful predictive biomarkers for response to rTMS treatment in MDD. Given that elevated oxidized lipids may indicate higher levels of oxidative stress and inflammation in the brain, patients with this phenotype of depression may be more receptive to rTMS treatment.

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Use of EEG for Predicting Treatment Response to Transcranial Magnetic Stimulation in Obsessive Compulsive Disorder

Clinical EEG and Neuroscience ◽

10.1177/1550059419879569 ◽

2019 ◽

Vol 51 (3) ◽

pp. 139-145 ◽

Cited By ~ 1

Author(s):

Sinem Zeynep Metin ◽

Tugçe Balli Altuglu ◽

Baris Metin ◽

Turker Tekin Erguzel ◽

Selin Yigit ◽

...

Keyword(s):

Machine Learning ◽

Transcranial Magnetic Stimulation ◽

Treatment Response ◽

Obsessive Compulsive Disorder ◽

Magnetic Stimulation ◽

Low Frequency ◽

Quantitative Eeg ◽

Measurement Scale ◽

Obsessive Compulsive ◽

Compulsive Disorder

Aim. In this study we assessed the predictive power of quantitative EEG (qEEG) for the treatment response to right frontal transcranial magnetic stimulation (TMS) in obsessive compulsive disorder (OCD) using a machine learning approach. Method. The study included 50 OCD patients (35 responsive to TMS, 15 nonresponsive) who were treated with right frontal low frequency stimulation and identified retrospectively from Uskudar Unversity, NPIstanbul Brain Hospital outpatient clinic. All patients were diagnosed with OCD according to the DSM-IV-TR and DSM-5 criteria. We first extracted pretreatment band powers for patients. To explore the prediction accuracy of pretreatment EEG, we employed machine learning methods using an artificial neural network model. Results. Among 4 EEG bands, theta power successfully discriminated responsive from nonresponsive patients. Responsive patients had more theta powers for all electrodes as compared to nonresponsive patients. Discussion. qEEG could be helpful before deciding about treatment strategy in OCD. The limitations of our study are moderate sample size and limited number of nonresponsive patients and that treatment response was defined by clinicians and not by using a formal symptom measurement scale. Future studies with larger samples and prospective design would show the role of qEEG in predicting TMS response better.

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Prefrontal EEG Asymmetry as a Potential Biomarker of Antidepressant Treatment Response with Transcranial Magnetic Stimulation (TMS): A Case Series

Clinical EEG and Neuroscience ◽

10.1177/155005940803900306 ◽

2008 ◽

Vol 39 (3) ◽

pp. 125-130 ◽

Cited By ~ 10

Author(s):

Agnes P. Funk ◽

Mark S. George

Keyword(s):

Transcranial Magnetic Stimulation ◽

Treatment Response ◽

Magnetic Stimulation ◽

Antidepressant Treatment ◽

Case Series ◽

Eeg Asymmetry ◽

Potential Biomarker

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Time resolved fluorescence of aqueous tryptophan

Canadian Journal of Chemistry ◽

10.1139/v78-123 ◽

1978 ◽

Vol 56 (5) ◽

pp. 743-745 ◽

Cited By ~ 91

Author(s):

D. M. Rayner ◽

A. G. Szabo

Keyword(s):

Exponential Decay ◽

Emission Spectra ◽

Fluorescence Decay ◽

Time Resolved Fluorescence ◽

Decay Function ◽

Time Resolved ◽

Exponential Decay Function

The fluorescence decay of aqueous tryptophan is shown to be described by a two exponential decay function whose components have life-times of 3.14 ns and 0.51 ns. These components are assigned as the solvent equilibrated 1La and 1Lb, states respectively. The time-resolved emission spectra are presented and can be resolved into two spectra with λmax at 350 nm and 335 nm corresponding to these two states.

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