Effect of Microelectrode Recording in Accurate Targeting STN with High Frequency DBS in Parkinson Disease

Raju, Venkateshwarla Rama; Mridula, Rukmini; Borgohain, Rupam

doi:10.1080/03772063.2019.1592715

Cited by 10 publications

(9 citation statements)

References 15 publications

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“…So, for exploring this anxiety in PD subjects, the researchers reduced the STMN2-gene in the SNpc in the non human primate rat-animal. 4 , 5 Here, ribonucleic acid called RNA sequencing confirmed that the decrease of STMN2-gene showed to the guided to the functioning high of 9 genes which have been formerly linked by the Parkinson malady. Then the rat progressed Parkinson's disease similar to the pathologies and this investigation enlightened a novel path for examining the malady further.…”

Section: Novel Molecular Drivers For Parkinson's Diseasementioning

confidence: 67%

“…2 A group of researchers have discovered novel molecular drivers of Parkinson disease subjects by employing a sophisticated clinico-statistical analysis referred to termed as multiscale gene network analysis (MGNA) and can be proficient to establish how these molecular drivers impact the functions of genes implicated in the Parkinson malady. 3 , 4 These findings could instant to prospective and latest medical administration and the work done by this team is offering a new stratagem to comprehend many of the Parkinson syndromes and to cure the disease. 2 Also, this advancement discovers not just innovative drivers only, to facilitate that it moreover expounds the useful framework of the discovered genes of the PD risk factors and hence showing possible treatment and innovations' in medical management and administration.The authors designed this technique to explore the molecular mechanisms of neurodegenerative AD complexities.…”

Section: Novel Molecular Drivers For Parkinson's Diseasementioning

confidence: 96%

“…Hence, non appearance of these neurons causes to an augmented firing from the subthalamic nucleus(STN) and global-pallidous-interna (GPi) neurons which cause to improved inhibition and reticence of the thalamic neurons and cortex and largely condensed or concentrated movement and thereby leading to the motor uncoordination. [1][2][3][4][5][6] Figure 3. 7 shows the normal functioning of basal-ganglia and the anomaly in idiopathic Parkinson neurodegenerative disease.…”

Section: The Prospective Vantage Pointmentioning

confidence: 99%

“…Hence, there is a new hope in neuroprotection for the Parkinson's. 4,9 One of the most commonest neurologic movement disorders that elders experience, Parkinson's disease (PD) is a distressing and shocking diagnosis upsetting approximately 2 of every8000older-adults. Though presently there is no curing-remedy and present treatment facilitate improve merely the signs and symptoms more willingly than the disease development, so, unsullied optimistic expectation reclines in novel experimental investigations paying perusal on neuro protection, i.e., ultimate brain protection.…”

Section: Neuroprotection and Parkinson'smentioning

confidence: 99%

See 3 more Smart Citations

A study of novel molecules for parkinson‘s disease treatment molecular mechanisms of neurodegenerative complexities and brain protection

Raju¹,

Reddy²,

Chythanya³

et al. 2020

IJN

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Parkinson's research has develop into the focal point of perseverance, hard work and doggedness intended for reducing the progression of cardinal motor symptoms and motoric feature-manifestations of Parkinson's disease. As on to date, even though there is no cure for PD but there are cutting edge technologies like deep brain stimulators (DBS) which significantly reduces the symptoms, restores and increases the motor functioning. Hence, there is a new hope for Parkinson's disease (PD) patients. Recent novel developments of molecules and molecular drivers for Parkinson's disease treatment, molecular mechanisms of neurodegenerative complexities, latest findings of BT13 molecules followed by neuroplasticity and neuroprotection have significant impact in this area. These new developments significantly reduced the progression of Parkinson disease and patients could walk confidently with the help of these PD treatmentsmedical management techniques and may lead to cure this malady in the near future. This study investigated these novel developments for Parkinson's. Scientists have made advances in PD and possible causes of PD. Now, momentous endeavors in clinical and basic fundamental investigations are intended in the direction of growth of enhanced therapies, together with the classification of neuro protective strategies which might sluggish the disease sequence. As scientists go on to expose new about the function of genes and genomes, risk-factors, and brain-circuits involved in PD, they function steadily progressively in the direction of curing therapy. This study explored the recent discoveries in neuroscience especially for the Parkinson disease and movement disorders. Neuroscientists have discovered novel molecular drivers for the treatment of Parkinson's disease. Molecular drivers of movement disorders particularly Parkinson's disease had discovered by researchers who furthermore established how they impact the functions of genes implicated in the state of condition that the findings might mark to a possible novel medical management. Hence, this novel provocative pathways ought to be measured as possible objectives which are goals for the newer medicine for evolving especially the advanced idiopathic Parkinson's disease patients.

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Section: Novel Molecular Drivers For Parkinson's Diseasementioning

confidence: 67%

Section: Novel Molecular Drivers For Parkinson's Diseasementioning

confidence: 96%

Section: The Prospective Vantage Pointmentioning

confidence: 99%

Section: Neuroprotection and Parkinson'smentioning

confidence: 99%

See 2 more Smart Citations

A study of novel molecules for parkinson‘s disease treatment molecular mechanisms of neurodegenerative complexities and brain protection

Raju¹,

Reddy²,

Chythanya³

et al. 2020

IJN

Self Cite

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“…17 Charcot's researches between 1868 and 1881 are considered as a landmark in our knowledge of PD. 44 The studies on PD continued and many other researchers made contributions to the understanding of PD. Tretiakoff 42 found an association between cell loss in substantia-nigra and tremor, 42 and this result was confirmed by Hassler.…”

Section: Literature Surveymentioning

confidence: 99%

Computational analysis of MER with STN DBS in Parkinson‘s disease using machine learning techniques

Raju¹

2020

IJN

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Parkinson's disease (PD) is one of the most commonest neurodegenerative chronic movement disorders, is caused by damage to the central nervous system (CNS). The manifestations or symptoms analogous to cardinal motoric features of PD have been mentioned as 'Kampavata' in ancient Sanskrit Vedic Hindi documents. Parkinson's disease was termed "Shaking Palsy" by the Galen, a famed Roman physician. Irrespective of all the studies on PD, the formation mechanism of its symptoms remained unknown. It is still not obvious why damage only to the substantia nigra pars compacta, a small part of the brain, causes a wide range of symptoms. Moreover, the causes of brain damages remain to be fully elucidated. Exact understanding of the brain function seems to be impossible. Equally, various engineering and technological software tools are challenging to understand the behavior and performance of complex convoluted systems. Computational models are the most significant tools in this connection. Developing computational models and analysis for the PD has begun in recent decades which are effective not just in understanding the disease but contributing new therapies, and its prediction and control, and also in its early diagnosis. Modeling studies include two main groups: black-box models and gray-box models. Generally, in the blackbox modeling, regardless of the system information, the symptom is only considered as the output. Such models, besides the computational analysis studies, increase our knowledge of the disorders behavior and the disease symptoms. The gray-box models consider the involved structures in the symptoms appearance as well as the final disease symptoms. These models can effectively save time and be cost-effective for the researchers and help them select appropriate treatment mechanisms among all possible options. In this study (survey/review paper), primary efforts are made to investigate some studies on Parkinson's disease and computational analysis. Then, computational analysis of microelectrode recordings (MER) of subthalamic nucleus (STN) neural signal acquisition of Parkinson's deep brain stimulation (DBS), i.e., MER with STN-DBS with a machine learning (ML) approach using clustering and principal component based targeting method followed by novel algorithms will be evaluated. Finally, the results of using such methods are presented significantly as a preliminary report. With the advent of high-speed powerful computing machines and artificial intelligence based machine learning techniques, the researchers are fully utilized these analyses for predicting and detecting early symptoms and signs of PD and for extracting its feature manifestations (tremor, Bradykinesia, postural, and postural instability).

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MER based analysis of local field potentials with deep brain stimulation subthalamic nucleus in Parkinson\'s disease using coherence and entropy techniques

Raju¹,

Konda²,

Balmuri³

et al. 2020

IJN

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Deep brain stimulation (DBS) is a device-based well-developed and well-established innovative frontier surgical-therapeutic method which reduces the symptoms of Parkinson's disease (PD) and restores and increases the motor-functioning. DBS gives a unique-opportunity to study the electricaloscillatory(harmonic-ripples) neural-activity of various sub-cortical-structures in PD-subjects. However, the electrically-stimulating local field potentials (LFPs) are fundamentally concerned during subthalamicnuclei (STN) recording. The fluctuations, measured to signify collective neuronal-discharge from neurons surrounding the electrode. The acquisition of extracellular activity of irregular-patterns of STN-activity typically acquired from a population-of-neurons detected as" local field potentials" has discard luminosity on the pathophysiology and seizes the latent to pilot to elegance in modern DBS management. The recordings are often gathered with either intraoperative microelectrode for neuronal-activity and/or DBSleads for chronic-macro-stimulation and reflect oscillatory-activity within nuclei of the basal-ganglia (BG) and thalamic-targets for diagnosing PD. LFP-recordings have numerous clinical implications and presently used to optimize DBS outcomes in closed-loop adaptive-devices/systems. However, the origins of the LFPs are implied softly and implicitly. Thus, the goal of this present study is to analyze LFP recordings within the milieu of clinical-applications for clinical-significancy and this goal is attained with frequency analysis ranging the band from 1Hz-250Hz and coherence band between 0 and 1 level. The results of the study suggest that the spatial-reach of the LFP can extend several millimeters. This study presents a comprehensive investigation into the existing research which gives insights into the origin of LFP-signals and identify the variables that need to be considered when analyzing LFP-signals in clinical settings principally DBS-applications. Dependable-correlations between motor-features and the mechanisms of the LFP power-spectra (the power-spectral-density, PSD) imply that LFPs may serve as biomarkers (biosignals) for movement-disorders (MDs) as a clinical-relevance. In particular, the cardinal motor-feature has been shown to correlate with β -fluctuations and tremor cohered between 8Hz-28Hz. Thus, the local field-potential connotations are for enhanced electrode-targeting and for the development of a multi-channel/real-time and thus online, personalized adaptive/closed-loop-systems. Variables like geometry-of-the-electrode/recording-configuration can have a significant-effect on LFP-amplitude pulsewidth, stimulus-intensity and spatial-reach, whilst the effects of other variables, like electrode-impedance, are often trifling. Entropy was measured in all 12 patients (right-hemisphere with DBS "on" = 1.4±0.1; DBS off: 1.4±1.9; and left-hemisphere on: 1.5±0.1 and off: 2.3±1.2) for tremor-complexity while root mean square measured for amplitude. For the data consistency, coherence was applied to se...

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Effect of Microelectrode Recording in Accurate Targeting STN with High Frequency DBS in Parkinson Disease

Cited by 10 publications

References 15 publications

A study of novel molecules for parkinson‘s disease treatment molecular mechanisms of neurodegenerative complexities and brain protection

A study of novel molecules for parkinson‘s disease treatment molecular mechanisms of neurodegenerative complexities and brain protection

Computational analysis of MER with STN DBS in Parkinson‘s disease using machine learning techniques

MER based analysis of local field potentials with deep brain stimulation subthalamic nucleus in Parkinson\'s disease using coherence and entropy techniques

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