MP07-04 DETECTING DIFFERENCES WITH MAGNETOENCEPHALOGRAPHY (MEG)-URODYNAMICS STUDY OF SOMATOSENSORY PROCESSING NORMAL DESIRE TO VOID AND MAXIMUM DESIRE TO VOID SENSATION
Bibliographic record
Abstract
You have accessJournal of UrologyUrodynamics/Lower Urinary Tract Dysfunction/Female Pelvic Medicine: Neurogenic Voiding Dysfunction (MP07)1 Apr 2019MP07-04 DETECTING DIFFERENCES WITH MAGNETOENCEPHALOGRAPHY (MEG)-URODYNAMICS STUDY OF SOMATOSENSORY PROCESSING NORMAL DESIRE TO VOID AND MAXIMUM DESIRE TO VOID SENSATION Takeya Kitta*, Hideaki Shiraishi, Kazuyori Yagyu, Atsushi Shimojo, Kiyoshi Egawa, Yukiko Kanno, Mifuka Ouchi, Madoko Higuchi, Mio Togo, Yui Takahashi, Mayuko Tsukiyama, Kimihiko Moriya, Tadashi Ariga, and Nobuo Shinohara Takeya Kitta*Takeya Kitta* More articles by this author , Hideaki ShiraishiHideaki Shiraishi More articles by this author , Kazuyori YagyuKazuyori Yagyu More articles by this author , Atsushi ShimojoAtsushi Shimojo More articles by this author , Kiyoshi EgawaKiyoshi Egawa More articles by this author , Yukiko KannoYukiko Kanno More articles by this author , Mifuka OuchiMifuka Ouchi More articles by this author , Madoko HiguchiMadoko Higuchi More articles by this author , Mio TogoMio Togo More articles by this author , Yui TakahashiYui Takahashi More articles by this author , Mayuko TsukiyamaMayuko Tsukiyama More articles by this author , Kimihiko MoriyaKimihiko Moriya More articles by this author , Tadashi ArigaTadashi Ariga More articles by this author , and Nobuo ShinoharaNobuo Shinohara More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000555088.55027.e6AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Fully understanding and defining how the normal brain responds to bladder filling in healthy adults is essential for identifying central abnormalities in patients with bladder control problems. Modern neuroimaging studies positron emission CT (PET) or functional magnetic resonance imaging (fMRI) revealed multiple brain activation areas. However, PET cannot be used repeatedly to optimize stimulation parameters because of the risks of irradiation. Above all, the temporal resolutions of PET and MRI are not high enough to investigate the real-time change of sensation. Magnetoencephalography (MEG) is a completely noninvasive tool and provides high temporal resolution so as to obtain sensory activities in experimental condition. The aim of our study is to clarify changes in brain activity at switching from sensation of normal desire to maximum desire sensation during bladder filling using MEG-urodynamics study. METHODS: We performed real-time MEG-urodynamics in six healthy male volunteers aged from 30 to 46 years (mean 38). This study was reviewed and approved by the ethical committees of our institute. The present study applied MEG to measure the brain responses switching from sensation of normal desire to maximum desire sensation. Measurement of event related desynchronization (ERD) at the switching point from normal to maximum desire sensation by MEG may be more suitable to localize the source position and define the change of brain activity because MEG has higher temporal and spatial resolution than scalp electroencephalography which is affected by the inhomogeneous head conductivity. A urethral catheter was placed and intravesical pressure was monitored throughout the procedure. MEG signals obtained by 204ch gradiometers (VecterView system, Elekta AB, Stockholm). ERD at the vicinity of maximum desire to void during 35 seconds (-30 to 5 seconds) was calculated by hilbert transform using Brainstorm software (USC & McGill University). RESULTS: Mean bladder capacity was 360 ml (range 270 to 480). Detrusor overactivity was never noted throughout the examinations. Compared with the normal desire to void sensation and maximum desire sensation, real-time change of ERD on cerebral cortex was defined at the right parietal lobe around primary somatosensory cortex (figure). CONCLUSIONS: In this preliminary study, with consideration for the somatosensory processing of micturition reflex, we succeeded in visualizing brain activities in the parietal lobe at switching from sensation of normal desire to maximum desire sensation. As MEG is completely non-invasive and adaptable to repetitive examinations, the present methods can be applied to elucidate the pathophysiological condition and optimal treatment for voiding dysfunction (OAB etc.) in clinical situations. Source of Funding: None Sarporo, Japan; Sapporo, Japan© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e91-e91 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Takeya Kitta* More articles by this author Hideaki Shiraishi More articles by this author Kazuyori Yagyu More articles by this author Atsushi Shimojo More articles by this author Kiyoshi Egawa More articles by this author Yukiko Kanno More articles by this author Mifuka Ouchi More articles by this author Madoko Higuchi More articles by this author Mio Togo More articles by this author Yui Takahashi More articles by this author Mayuko Tsukiyama More articles by this author Kimihiko Moriya More articles by this author Tadashi Ariga More articles by this author Nobuo Shinohara More articles by this author Expand All Advertisement PDF downloadLoading ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".