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Articles de revues sur le sujet « DBS »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 8 juin 2024

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1

Vera, Miguel, Antonio Bravo et Rubén Medina. « Description and Use of Three-Dimensional Numerical Phantoms of Cardiac Computed Tomography Images ». Data 7, n^o 8 (16 août 2022) : 115. http://dx.doi.org/10.3390/data7080115.

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The World Health Organization indicates the top cause of death is heart disease. These diseases can be detected using several imaging modalities, especially cardiac computed tomography (CT), whose images have imperfections associated with noise and certain artifacts. To minimize the impact of these imperfections on the quality of the CT images, several researchers have developed digital image processing techniques (DPIT) by which the quality is evaluated considering several metrics and databases (DB), both real and simulated. This article describes the processes that made it possible to generate and utilize six three-dimensional synthetic cardiac DBs or voxels-based numerical phantoms. An exhaustive analysis of the most relevant features of images of the left ventricle, belonging to a real CT DB of the human heart, was performed. These features are recreated in the synthetic DBs, generating a reference phantom or ground truth free of imperfections (DB1) and five phantoms, in which Poisson noise (DB2), stair-step artifact (DB3), streak artifact (DB4), both artifacts (DB5) and all imperfections (DB6) are incorporated. These DBs can be used to determine the performance of DPIT, aimed at decreasing the effect of these imperfections on the quality of cardiac images.

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2

Knani, Dafna, et David Alperstein. « Simulation of DBS, DBS-COOH, and DBS-CONHNH2 as Hydrogelators ». Journal of Physical Chemistry A 121, n^o 5 (février 2017) : 1113–20. http://dx.doi.org/10.1021/acs.jpca.6b11130.

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Serdans, Beka. « DBS ». Journal of Neuroscience Nursing 41, n^o 1 (février 2009) : 53–56. http://dx.doi.org/10.1097/jnn.0b013e318193457c.

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Newsom, Marilyn. « DBS Risks ». Neurology Now 13, n^o 4 (2017) : 7. http://dx.doi.org/10.1097/01.nnn.0000522191.89343.48.

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5

Galkin, R. « DBS Programming ». IEEE Journal on Selected Areas in Communications 3, n^o 1 (1985) : 215–18. http://dx.doi.org/10.1109/jsac.1985.1146173.

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Wood, David. « DBS standards ». Journal of the Institution of Electronic and Radio Engineers 55, n^o 11-12 (1985) : 375. http://dx.doi.org/10.1049/jiere.1985.0121.

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7

Martin, Ernesto R. « DBS systems ». Telecommunications Policy 9, n^o 4 (décembre 1985) : 291–300. http://dx.doi.org/10.1016/0308-5961(85)90022-9.

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Whitehead, Ian P., Que T. Lambert, Judith A. Glaven, Karon Abe, Kent L. Rossman, Gwendolyn M. Mahon, James M. Trzaskos, Robert Kay, Sharon L. Campbell et Channing J. Der. « Dependence of Dbl and Dbs Transformation on MEK and NF-κB Activation ». Molecular and Cellular Biology 19, n^o 11 (1 novembre 1999) : 7759–70. http://dx.doi.org/10.1128/mcb.19.11.7759.

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ABSTRACT Dbs was identified initially as a transforming protein and is a member of the Dbl family of proteins (>20 mammalian members). Here we show that Dbs, like its rat homolog Ost and the closely related Dbl, exhibited guanine nucleotide exchange activity for the Rho family members RhoA and Cdc42, but not Rac1, in vitro. Dbs transforming activity was blocked by specific inhibitors of RhoA and Cdc42 function, demonstrating the importance of these small GTPases in Dbs-mediated growth deregulation. Although Dbs transformation was dependent upon the structural integrity of its pleckstrin homology (PH) domain, replacement of the PH domain with a membrane localization signal restored transforming activity. Thus, the PH domain of Dbs (but not Dbl) may be important in modulating association with the plasma membrane, where its GTPase substrates reside. Both Dbs and Dbl activate multiple signaling pathways that include activation of the Elk-1, Jun, and NF-κB transcription factors and stimulation of transcription from the cyclin D1 promoter. We found that Elk-1 and NF-κB, but not Jun, activation was necessary for Dbl and Dbs transformation. Finally, we have observed that Dbl and Dbs regulated transcription from the cyclin D1 promoter in a NF-κB-dependent manner. Previous studies have dissociated actin cytoskeletal activity from the transforming potential of RhoA and Cdc42. These observations, when taken together with those of the present study, suggest that altered gene expression, and not actin reorganization, is the critical mediator of Dbl and Rho family protein transformation.

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9

Kirkegaard-Nielsen, H., et O. May. « Der Einfluß des Double-Burst-Stimulierungsmusters (DBS) auf das Verhältnis zwischen DBS und Train-of-Four ». AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie 30, n^o 03 (mai 1995) : 163–66. http://dx.doi.org/10.1055/s-2007-996466.

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10

Franco, Ruth, Erich Fonoff, Pedro Alvarenga, Antonio Lopes, Euripides Miguel, Manoel Teixeira, Durval Damiani et Clement Hamani. « DBS for Obesity ». Brain Sciences 6, n^o 3 (18 juillet 2016) : 21. http://dx.doi.org/10.3390/brainsci6030021.

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11

Stove, Christophe, et Neil Spooner. « DBS and beyond ». Bioanalysis 7, n^o 16 (septembre 2015) : 1961–62. http://dx.doi.org/10.4155/bio.15.139.

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12

Volkmann, Jens, Stephan Chabardes, G. Karl Steinke et Stephen Carcieri. « 375 DIRECT DBS ». Neurosurgery 63 (août 2016) : 211–12. http://dx.doi.org/10.1227/01.neu.0000489863.00935.ea.

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13

Starr, Philip A. « DBS and Dopamine ». Stereotactic and Functional Neurosurgery 86, n^o 3 (2008) : 188. http://dx.doi.org/10.1159/000126943.

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14

El-Hai, Jack. « Narratives of DBS ». AJOB Neuroscience 2, n^o 1 (13 janvier 2011) : 1–2. http://dx.doi.org/10.1080/21507740.2011.547421.

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15

Takano, Kouichi, Takao Murata, Masaru Fujita, Daiichiro Kato et Noboru Toyama. « DBS Mobile Receiver. » Journal of the Institute of Television Engineers of Japan 48, n^o 9 (1994) : 1133–40. http://dx.doi.org/10.3169/itej1978.48.1133.

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16

Hsiung, James C. « C-band DBS ». Telecommunications Policy 12, n^o 1 (mars 1988) : 77–86. http://dx.doi.org/10.1016/0308-5961(88)90041-9.

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17

Liu, Xiaojun, Yutaka Moritomo, Arao Nakamura, Satoshi Matsuba et Norimichi Kojima. « Pressure Effects on Quasi-One-Dimensional Mixed-Valence Gold Complex [AuCl(DBS)][AuCl 3 (DBS)] (DBS=dibenzylsulfide) ». Molecular Crystals and Liquid Crystals 379, n^o 1 (1 janvier 2002) : 291–96. http://dx.doi.org/10.1080/713738682.

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18

Peng, Sophia, David Levine, Adolfo Ramirez-Zamora, Arun Chockalingam, Paul J. Feustel, Jennifer Durphy, Era Hanspal, Peter Novak et Julie G. Pilitsis. « A Comparison of Unilateral Deep Brain Stimulation (DBS), Simultaneous Bilateral DBS, and Staged Bilateral DBS Lead Accuracies ». Neuromodulation : Technology at the Neural Interface 20, n^o 5 (28 mars 2017) : 478–83. http://dx.doi.org/10.1111/ner.12588.

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19

Maerina, Ryen. « Distribusi dan Pemetaan Varian-Varian Bahasa Madura di Kabupaten Sumbawa ». MABASAN 1, n^o 1 (23 janvier 2019) : 92–106. http://dx.doi.org/10.26499/mab.v1i1.147.

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Makalah ini mengkaji distribusi dan pemetaan varian-varian bahasa Madura di Kabupaten Sumbawa, dengan menggunakan pendekatan dialektologi.Ada tiga kantong bahasa (enklave) Madura di Kabupaten Sumbawa, yaitu di Kelurahan Brang Bara, Kelurahan Bugis, dan Desa Luar. Jumlah etnis Madura yang menghuni ketiga kantong bahasa tersebut sebanyak 222 kepala keluarga.Bahasa Madura yang ada di Kabupaten Sumbawa memiliki tiga dialek, yaitu DBB (dialek Brang Bara), DBs (dialek Bugis), DL (dialek Luar). Secara kualitatif, hubungan kekerabatan diantara ketiganya dinyatakan dengan hubungan dialek, yang meneruskan satu bahasa induk, yaitu Prabahasa Madura Sumbawa (PMS). DBB dengan DBs memiliki hubungan kekerabatan yang lebih tinggi daripada DBB dengan DL ataupun DBs dengan DL. Pada fase historis tertentu DBB dan DBs diduga sebagai subdialek dari satu dialek yaitu dialek DBBBs (dialek Brang Bara Bugis). Dalam perkembangan bahasa Madura Modern, kedua subdialek itu muncul sebagai dialek yang berdiri sendiri.

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20

Viswanathan, CT. « Perspectives on microsampling : DBS ». Bioanalysis 4, n^o 12 (juin 2012) : 1417–19. http://dx.doi.org/10.4155/bio.12.123.

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21

McElnay, James C. « DBS sampling : a journey ». Bioanalysis 7, n^o 16 (septembre 2015) : 1967–70. http://dx.doi.org/10.4155/bio.15.140.

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22

Yates, Darran. « Targeting circuits with DBS ». Nature Reviews Neuroscience 22, n^o 12 (29 octobre 2021) : 721. http://dx.doi.org/10.1038/s41583-021-00539-4.

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23

Fukaya, Chikashi, Kazutaka Kobayashi, Hideki Oshima, Takamitsu Yamamoto et Yoichi Katayama. « DBS : Deep Brain Stimulation ». Journal of Nihon University Medical Association 71, n^o 6 (2012) : 405–9. http://dx.doi.org/10.4264/numa.71.405.

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24

Benno, Peter, Atti-La Dahlgren, Ragnar Befrits, Elisabeth Norin, Per M. Hellström et Tore Midtvedt. « From IBS to DBS ». Journal of Investigative Medicine High Impact Case Reports 4, n^o 2 (9 mai 2016) : 232470961664845. http://dx.doi.org/10.1177/2324709616648458.

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25

Tonge, G. J. « Smaller dishes for DBS ». IEE Review 34, n^o 5 (1988) : 191. http://dx.doi.org/10.1049/ir:19880074.

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26

Martin, E. « HDTV - A DBS Perspective ». IEEE Journal on Selected Areas in Communications 3, n^o 1 (janvier 1985) : 76–86. http://dx.doi.org/10.1109/jsac.1985.1146161.

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27

Rezai, Ali. « DBS for Neurobehavioral Disorders ». Stereotactic and Functional Neurosurgery 87, n^o 4 (2009) : 267. http://dx.doi.org/10.1159/000225981.

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28

Black, Kevin J. « Psychiatric screening for DBS ». Parkinsonism & ; Related Disorders 13, n^o 8 (décembre 2007) : 546. http://dx.doi.org/10.1016/j.parkreldis.2006.12.007.

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29

Benabid, Alim Louis, et Napoleon Torres. « New targets for DBS ». Parkinsonism & ; Related Disorders 18 (janvier 2012) : S21—S23. http://dx.doi.org/10.1016/s1353-8020(11)70009-8.

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30

Akhavan-Majid, Roya. « DBS policymaking in Japan ». Telecommunications Policy 13, n^o 4 (décembre 1989) : 363–70. http://dx.doi.org/10.1016/0308-5961(89)90024-4.

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31

Moro, E. « O.100 New targets for DBS : can DBS modulate non-motor symptoms ? » Parkinsonism & ; Related Disorders 15 (décembre 2009) : S26. http://dx.doi.org/10.1016/s1353-8020(09)70115-4.

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32

Lai, Wei-Chi, et Chia-Hui Wu. « Studies on the self-assembly of neat DBS and DBS/PPG organogels ». Journal of Applied Polymer Science 115, n^o 2 (15 janvier 2010) : 1113–19. http://dx.doi.org/10.1002/app.31149.

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33

Kim, Kyumin, Seockhoon Chung, Eulah Cho, Jung Mun Choi, Dongin Lee et Inn-Kyu Cho. « Reliability and Validity of Dysfunctional Beliefs About Sleep-2 (DBS-2), an Ultra-brief Rating Scale for Assessing Dysfunctional Thoughts About Sleep ». Sleep Medicine Research 13, n^o 3 (31 décembre 2022) : 165–70. http://dx.doi.org/10.17241/smr.2022.01403.

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Background and Objective It is important to consider dysfunctional beliefs about sleep when conducting cognitive-behavioral therapy for insomnia. The purpose of this study was to examine the reliability and validity of a Dysfunctional Beliefs about Sleep-2 items (DBS-2) scale in a general population and clinical sample.Methods Our study examined the reliability and validity of the DBS-2 scale in the general population (group I, n = 374) and in a clinical sample of subjects with insomnia disorders (group II, n = 105). An online survey targeting the general population was conducted over the course of January 10–18, 2022, and a retrospective study of medical records was conducted among a clinical sample of insomnia patients who visited the Asan Medical Center Sleep Clinic for the first time between September of 2021 and May of 2022. The internal consistency reliability of the DBS-2 scale was measured using split-half coefficients, and factor analysis was used to determine its validity. Using the Insomnia Severity Index (ISI) and the Dysfunctional Beliefs and Attitudes about Sleep-16 items (DBAS-16), convergence validity was explored.Results Split-half coefficients for the DBS-2 were 0.862 and 0.855 in the general population and a clinical sample of insomnia disorder. DBS-2 overall report score was significantly correlated with ISI (r = 0.26, p < 0.001) and DBAS-16 (r = 0.43, p < 0.001) in the general population, and correlated with ISI (r = 0.45, p < 0.001) and DBAS-16 (r = 0.50, p < 0.001) in the clinical sample. Both groups of subjects had an optimal cut-off score of 13 for the DBS-2 scale.Conclusions We found that the DBS-2 scale, a two-item ultra-brief rating scale, could accurately measure dysfunctional beliefs about sleep in the general population and a clinical sample of insomnia patients.

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KURASHINA, MASASHI, AKIO EGUCHI, EIJI KANEZAKI, TAKUYA SHIGA et HIROKI OSHIO. « SYNTHESES AND PROPERTIES OF COBALT AND NICKEL HYDROXIDE NANOSHEETS ». International Journal of Modern Physics B 24, n^o 15n16 (30 juin 2010) : 2291–96. http://dx.doi.org/10.1142/s0217979210064812.

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Nanosheets of cobalt and nickel hydroxides nanosheets were prepared by delamination of layered compounds, Co II( OH )1.73( DBS )0.27·0.87 H 2 O ( Co - DBS , DBS = dodecylbenzene sulfonate) and Ni II( OH )1.63( DBS )0.37·1.24 H 2 O ( Ni - DBS ), respectively. Powder X-ray diffraction analyses of the layered compounds revealed lattice parameters of a0 = 3.07 Å and c0 = 30 Å ( Co - DBS ) and a0 = 3.09 Å and c0 = 30 Å ( Ni - DBS ) in the hexagonal system. Dispersions of Co - DBS and Ni - DBS in 1-butanol produced colloidal solutions of nanosheets, [ Co - DBS ] delam and [ Ni - DBS ] delam , respectively. Poly(vinylpyrrolidone) ( PVP ) was dissolved in [ Co - DBS ] delam and [ Ni - DBS ] delam and the mixtures were dried to yield Co - PVP and Ni - PVP , respectively. These nanosheets measured 150-500 nm for [ Co - DBS ] delam and 135-400 nm for [ Ni - DBS ] delam by means of dynamic light scattering. Atomic force microscopy images showed lateral dimensions of 100-500 nm for [ Co - DBS ] delam and 50-100 nm for [ Ni - DBS ] delam . In the former image, the cobalt hydroxide nanosheets had a fairly flat terrace structure with thickness of 3.1-3.6 nm and with aspect ratios of 30-150, whereas in the latter image dome-like nanosheets of nickel hydroxide with height of 2.2-2.3 nm were confirmed. These nanosheets were regarded as monolayer. Magnetization experiments at 1.8 K showed hysteresis loops for Co - DBS , Co - PVP , Ni - DBS , and Ni - PVP .

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van Baar, Ben LM, Tom Verhaeghe, Olivier Heudi, Morten Rohde, Simon Wood, Jaap Wieling, Ronald de Vries, Steve White, Zoe Cobb et Philip Timmerman. « IS addition in bioanalysis of DBS : results from the EBF DBS-microsampling consortium ». Bioanalysis 5, n^o 17 (septembre 2013) : 2137–45. http://dx.doi.org/10.4155/bio.13.172.

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Sommers, Rowan P., Roy Dings, Koen I. Neijenhuijs, Hannah Andringa, Sebastian Arts, Daphne van de Bult, Laura Klockenbusch, Emiel Wanningen, Leon C. de Bruin et Pim F. G. Haselager. « A Young Scientists’ Perspective on DBS : A Plea for an International DBS Organization ». Neuroethics 8, n^o 2 (13 avril 2015) : 187–90. http://dx.doi.org/10.1007/s12152-015-9231-x.

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Ramirez-Zamora, Adolfo, Hans Boggs et Julie G. Pilitsis. « Reduction in DBS frequency improves balance difficulties after thalamic DBS for essential tremor ». Journal of the Neurological Sciences 367 (août 2016) : 122–27. http://dx.doi.org/10.1016/j.jns.2016.06.001.

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Lin, Fabin, Dihang Wu, Jiao Yu, Huidan Weng, Lina Chen, Fangang Meng, Ying Chen, Qinyong Ye et Guoen Cai. « Comparison of efficacy of deep brain stimulation and focused ultrasound in parkinsonian tremor : a systematic review and network meta-analysis ». Journal of Neurology, Neurosurgery & ; Psychiatry 92, n^o 4 (18 janvier 2021) : 434–43. http://dx.doi.org/10.1136/jnnp-2020-323656.

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To compare the efficacy of deep brain stimulation (DBS) and MRI-guided focused ultrasound (MRIgFUS) in parkinsonian tremor. We performed a network meta-analysis based on a Bayesian framework. We searched the literature for articles published between January 1990 and October 2020 using three databases: PubMed, Embase and Cochrane Library (The Cochrane Database of Systematic Reviews). A total of 24 studies were included in our analysis, comprising data from 784 participants. Our findings revealed similar efficacy of DBS and MRIgFUS in parkinsonian tremor suppression. Compared with internal globus pallidus (GPi)-MRIgFUS, GPi-DBS -1.84 (–6.44, 2.86), pedunculopontine nucleus (PPN)_DBS –3.28 (–9.28, 2.78), PPN and caudal zona incerta (cZI)-DBS 0.40 (–6.16, 6.87), subthalamic nucleus (STN)_DBS 0.89 (–3.48, 5.30), STN and cZI-DBS 1.99 (–4.74, 8.65), ventral intermediate nucleus(VIM)_DBS 1.75 (–2.87, 6.48), VIM_FUS 0.72 (–5.27, 6.43), cZI-DBS 0.27 (–4.75, 5.36) were no significantly difference. Compared with VIM-MRIgFUS, GPi-DBS -2.55(-6.94, 2.21), GPi-FUS -0.72 (–6.43, 5.27), PPN_DBS -4.01(–9.97, 2.11), PPN and cZI-DBS -0.32 (-6.73, 6.36), STN_DBS 0.16 (–3.98, 4.6), STN and cZI-DBS 1.31(-5.18,7.87), VIM-DBS 1.00(-3.41, 5.84)and cZI-DBS –0.43 (–5.07, 4.68) were no significantly difference. With respect to the results for the treatment of motor symptoms, GPi-DBS, GPi-MRIgFUS, STN-DBS and cZI-DBS were significantly more efficacious than baseline (GPi-DBS 15.24 (5.79, 24.82), GPi-MRIgFUS 13.46 (2.46, 25.10), STN-DBS 19.62 (12.19, 27.16), cZI-DBS 14.18 (1.73, 26.89). The results from the surface under the cumulative ranking results showed that STN-DBS ranked first, followed by combined PPN and cZI-DBS, and PPN-DBS ranked last. MRIgFUS, an efficacious intervention for improving parkinsonian tremor, has not demonstrated to be inferior to DBS in parkinsonian tremor suppression. Hence, clinicians should distinguish individual patients’ symptoms to ensure that the appropriate intervention and therapeutic approach are applied.

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Matsuba, Satoshi, Norimichi Kojima, Tokutaro Komatsu, Makoto Seto, Yasuhiro Kobayashi et Yutaka Maeda. « Studies of Mixed—Valence States in One Dimentional Halogen-Bridged Gold Compounds [AuIX(DBS)][AuIIIX3(DBS)](X=Cl, Br, I : dbs=dibenzylsulfide) ». Molecular Crystals and Liquid Crystals Science and Technology. Section A. Molecular Crystals and Liquid Crystals 343, n^o 1 (1 mai 2000) : 169–74. http://dx.doi.org/10.1080/10587250008023521.

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Bourilhon, Julie, Claire Olivier, Hana You, Antoine Collomb-Clerc, David Grabli, Hayat Belaid, Yannick Mullie et al. « Pedunculopontine and Cuneiform Nuclei Deep Brain Stimulation for Severe Gait and Balance Disorders in Parkinson’s Disease : Interim Results from a Randomized Double-Blind Clinical Trial ». Journal of Parkinson's Disease 12, n^o 2 (15 février 2022) : 639–53. http://dx.doi.org/10.3233/jpd-212793.

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Background: Dopa-resistant freezing of gait (FOG) and falls represent the dominant motor disabilities in advanced Parkinson’s disease (PD). Objective: We investigate the effects of deep brain stimulation (DBS) of the mesencephalic locomotor region (MLR), comprised of the pedunculopontine (PPN) and cuneiform (CuN) nuclei, for treating gait and balance disorders, in a randomized double-blind cross-over trial. Methods: Six PD patients with dopa-resistant FOG and/or falls were operated for MLR-DBS. Patients received three DBS conditions, PPN, CuN, or Sham, in a randomized order for 2-months each, followed by an open-label phase. The primary outcome was the change in anteroposterior anticipatory-postural-adjustments (APAs) during gait initiation on a force platform Results: The anteroposterior APAs were not significantly different between the DBS conditions (median displacement [1st–3rd quartile] of 3.07 [3.12–4.62] cm with sham-DBS, 1.95 [2.29–3.85] cm with PPN-DBS and 2.78 [1.66–4.04] cm with CuN-DBS; p = 0.25). Step length and velocity were significantly higher with CuN-DBS vs. both sham-DBS and PPN-DBS. Conversely, step length and velocity were lower with PPN-DBS vs. sham-DBS, with greater double stance and gait initiation durations. One year after surgery, step length was significantly lower with PPN-DBS vs. inclusion. We did not find any significant change in clinical scales between DBS conditions or one year after surgery. Conclusion: Two months of PPN-DBS or CuN-DBS does not effectively improve clinically dopa-resistant gait and balance disorders in PD patients.

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Sandoval-Pistorius, Stephanie S., Mallory L. Hacker, Allison C. Waters, Jing Wang, Nicole R. Provenza, Coralie de Hemptinne, Kara A. Johnson, Melanie A. Morrison et Stephanie Cernera. « Advances in Deep Brain Stimulation : From Mechanisms to Applications ». Journal of Neuroscience 43, n^o 45 (8 novembre 2023) : 7575–86. http://dx.doi.org/10.1523/jneurosci.1427-23.2023.

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Deep brain stimulation (DBS) is an effective therapy for various neurologic and neuropsychiatric disorders, involving chronic implantation of electrodes into target brain regions for electrical stimulation delivery. Despite its safety and efficacy, DBS remains an underutilized therapy. Advances in the field of DBS, including in technology, mechanistic understanding, and applications have the potential to expand access and use of DBS, while also improving clinical outcomes. Developments in DBS technology, such as MRI compatibility and bidirectional DBS systems capable of sensing neural activity while providing therapeutic stimulation, have enabled advances in our understanding of DBS mechanisms and its application. In this review, we summarize recent work exploring DBS modulation of target networks. We also cover current work focusing on improved programming and the development of novel stimulation paradigms that go beyond current standards of DBS, many of which are enabled by sensing-enabled DBS systems and have the potential to expand access to DBS.

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Xu, Yichen, Guofan Qin, Bojing Tan, Shiying Fan, Qi An, Yuan Gao, Houyou Fan et al. « Deep Brain Stimulation Electrode Reconstruction : Comparison between Lead-DBS and Surgical Planning System ». Journal of Clinical Medicine 12, n^o 5 (23 février 2023) : 1781. http://dx.doi.org/10.3390/jcm12051781.

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Background: Electrode reconstruction for postoperative deep brain simulation (DBS) can be achieved manually using a surgical planning system such as Surgiplan, or in a semi-automated manner using software such as the Lead-DBS toolbox. However, the accuracy of Lead-DBS has not been thoroughly addressed. Methods: In our study, we compared the DBS reconstruction results of Lead-DBS and Surgiplan. We included 26 patients (21 with Parkinson’s disease and 5 with dystonia) who underwent subthalamic nucleus (STN)-DBS, and reconstructed the DBS electrodes using the Lead-DBS toolbox and Surgiplan. The electrode contact coordinates were compared between Lead-DBS and Surgiplan with postoperative CT and MRI. The relative positions of the electrode and STN were also compared between the methods. Finally, the optimal contact during follow-up was mapped onto the Lead-DBS reconstruction results to check for overlap between the contacts and the STN. Results: We found significant differences in all axes between Lead-DBS and Surgiplan with postoperative CT, with the mean variance for the X, Y, and Z coordinates being −0.13, −1.16, and 0.59 mm, respectively. Y and Z coordinates showed significant differences between Lead-DBS and Surgiplan with either postoperative CT or MRI. However, no significant difference in the relative distance of the electrode and the STN was found between the methods. All optimal contacts were located in the STN, with 70% of them located within the dorsolateral region of the STN in the Lead-DBS results. Conclusions: Although significant differences in electrode coordinates existed between Lead-DBS and Surgiplan, our results suggest that the coordinate difference was around 1 mm, and Lead-DBS can capture the relative distance between the electrode and the DBS target, suggesting it is reasonably accurate for postoperative DBS reconstruction.

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Leodori, Giorgio, Marco Santilli, Nicola Modugno, Michele D’Avino, Maria Ilenia De Bartolo, Andrea Fabbrini, Lorenzo Rocchi, Antonella Conte, Giovanni Fabbrini et Daniele Belvisi. « Postural Instability and Risk of Falls in Patients with Parkinson’s Disease Treated with Deep Brain Stimulation : A Stabilometric Platform Study ». Brain Sciences 13, n^o 9 (25 août 2023) : 1243. http://dx.doi.org/10.3390/brainsci13091243.

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Postural instability (PI) in Parkinson’s disease (PD) exposes patients to an increased risk of falls (RF). While dopaminergic therapy and deep brain stimulation (DBS) improve motor performance in advanced PD patients, their effects on PI and RF remain elusive. PI and RF were assessed using a stabilometric platform in six advanced PD patients. Patients were evaluated in OFF and ON dopaminergic medication and under four DBS settings: with DBS off, DBS bilateral, and unilateral DBS of the more- or less-affected side. Our findings indicate that dopaminergic medication by itself exacerbated PI and RF, and DBS alone led to a decline in RF. No combination of medication and DBS yielded a superior improvement in postural control compared to the baseline combination of OFF medication and the DBS-off condition. Yet, for ON medication, DBS significantly improved both PI and RF. Among DBS conditions, DBS bilateral provided the most favorable outcomes, improving PI and RF in the ON medication state and presenting the smallest setbacks in the OFF state. Conversely, the more-affected side DBS was less beneficial. These preliminary results could inform therapeutic strategies for advanced PD patients experiencing postural disorders.

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Denniff, Philip, Chris Holliman, Leif Svensson, Naidong Weng et Shefali Patel. « Bioanalysis Zone : DBS survey results ». Bioanalysis 6, n^o 3 (février 2014) : 287–91. http://dx.doi.org/10.4155/bio.13.327.

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Choi, Ki Sueng, Patricio Riva-Posse, Martijn Figee et Helen Mayberg. « Connectome DBS for psychiatric disorders ». Brain Stimulation 14, n^o 6 (novembre 2021) : 1735–36. http://dx.doi.org/10.1016/j.brs.2021.10.491.

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Ryan, Christopher, et Sascha Callaghan. « NSW law, ECT and DBS ». Australasian Psychiatry 19, n^o 1 (février 2011) : 85. http://dx.doi.org/10.3109/10398562.2010.539223.

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Osborne, D. W. « Sound and data on DBS ». Electronics and Power 31, n^o 6 (1985) : 449. http://dx.doi.org/10.1049/ep.1985.0283.

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Saleh, Christian. « DBS, Parkinson's Disease, and Suicide ». Journal of Neuropsychiatry and Clinical Neurosciences 23, n^o 2 (janvier 2011) : E4. http://dx.doi.org/10.1176/jnp.23.2.jnpe4.

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Benabid, A. L., N. Torres et S. Chabardes. « 3.11.1 NEW TARGETS FOR DBS ». Parkinsonism & ; Related Disorders 18 (janvier 2012) : S165. http://dx.doi.org/10.1016/s1353-8020(11)70718-0.

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JOHNSON, KATE. « DBS Touted for ‘Intractable’ Illness ». Clinical Psychiatry News 35, n^o 11 (novembre 2007) : 1–8. http://dx.doi.org/10.1016/s0270-6644(07)70696-3.

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