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Treatment Response Biomarkers of Accelerated Low Frequency Repetitive Transcranial Magnetic Stimulation in Major Depressive Disorder.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Treatment Response Biomarkers of Accelerated Low Frequency Repetitive Transcranial Magnetic Stimulation in Major Depressive Disorder./
作者:
Sheen, Jack Z.
面頁冊數:
1 online resource (239 pages)
附註:
Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
Contained By:
Dissertations Abstracts International84-12B.
標題:
Neurosciences. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30245577click for full text (PQDT)
ISBN:
9798379762896
Treatment Response Biomarkers of Accelerated Low Frequency Repetitive Transcranial Magnetic Stimulation in Major Depressive Disorder.
Sheen, Jack Z.
Treatment Response Biomarkers of Accelerated Low Frequency Repetitive Transcranial Magnetic Stimulation in Major Depressive Disorder.
- 1 online resource (239 pages)
Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
Thesis (Ph.D.)--University of Toronto (Canada), 2023.
Includes bibliographical references
Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive form of brain stimulation for the treatment of major depressive disorder (MDD). One substantial knowledge gap with rTMS is that clinically applicable treatment response biomarkers of rTMS in MDD remain elusive. This thesis contains three studies that are based on the data from two open-labeled clinical trials, and these studies aim to address the need for biomarkers by providing preliminary evidence on the utilization of electrocardiography (ECG) and electroencephalography (EEG) parameters as treatment response biomarkers of accelerated low frequency (LF) right hemisphere (R) dorsolateral prefrontal cortex (DLPFC) rTMS in MDD. The first (n=19) study aims to investigate the effect of accelerated 1Hz R-DLPFC rTMS on heart rate (HR) and heart rate variability (HRV), as well as the association between HR and HRV with treatment outcome. In this first study, HR significantly decreased during the rTMS period. Resting HR, HR during the rTMS period, and the degree of rTMS-induced HR reduction were all significantly negatively associated with treatment outcome prior to Bonferroni correction; Resting HR remained significantly associated with treatment outcome post Bonferroni correction. Furthermore, the second study (n = 24) aims to validate the results of the first study using data from a separate clinical trial. For this second study, HR also significantly decreased during the rTMS period prior to Bonferroni correction. Resting HR, HR during rTMS, and the degree of HR reduction were not significantly associated with treatment outcome; however, the trend of association remained the same as that of the first study. Lastly, the third study aims to investigate the association between baseline TMS evoked potential (TEP) N100 amplitude and 1Hz R-DLPFC arTMS treatment outcome. For this third study, baseline N100 amplitude was significantly associated with treatment outcome. The change in N100 amplitude from baseline to follow-up was significantly associated with treatment outcome prior to Bonferroni correction. In conclusion, the collective result of these three studies is generally in agreement with previous studies and provide additional preliminary evidence for future studies of larger sample sizes to further investigate the biomarker potential of ECG and EEG parameters.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798379762896Subjects--Topical Terms:
588700
Neurosciences.
Subjects--Index Terms:
BiomarkersIndex Terms--Genre/Form:
542853
Electronic books.
Treatment Response Biomarkers of Accelerated Low Frequency Repetitive Transcranial Magnetic Stimulation in Major Depressive Disorder.
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Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive form of brain stimulation for the treatment of major depressive disorder (MDD). One substantial knowledge gap with rTMS is that clinically applicable treatment response biomarkers of rTMS in MDD remain elusive. This thesis contains three studies that are based on the data from two open-labeled clinical trials, and these studies aim to address the need for biomarkers by providing preliminary evidence on the utilization of electrocardiography (ECG) and electroencephalography (EEG) parameters as treatment response biomarkers of accelerated low frequency (LF) right hemisphere (R) dorsolateral prefrontal cortex (DLPFC) rTMS in MDD. The first (n=19) study aims to investigate the effect of accelerated 1Hz R-DLPFC rTMS on heart rate (HR) and heart rate variability (HRV), as well as the association between HR and HRV with treatment outcome. In this first study, HR significantly decreased during the rTMS period. Resting HR, HR during the rTMS period, and the degree of rTMS-induced HR reduction were all significantly negatively associated with treatment outcome prior to Bonferroni correction; Resting HR remained significantly associated with treatment outcome post Bonferroni correction. Furthermore, the second study (n = 24) aims to validate the results of the first study using data from a separate clinical trial. For this second study, HR also significantly decreased during the rTMS period prior to Bonferroni correction. Resting HR, HR during rTMS, and the degree of HR reduction were not significantly associated with treatment outcome; however, the trend of association remained the same as that of the first study. Lastly, the third study aims to investigate the association between baseline TMS evoked potential (TEP) N100 amplitude and 1Hz R-DLPFC arTMS treatment outcome. For this third study, baseline N100 amplitude was significantly associated with treatment outcome. The change in N100 amplitude from baseline to follow-up was significantly associated with treatment outcome prior to Bonferroni correction. In conclusion, the collective result of these three studies is generally in agreement with previous studies and provide additional preliminary evidence for future studies of larger sample sizes to further investigate the biomarker potential of ECG and EEG parameters.
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