scholarly journals Design and Evaluation of a Rodent‐Specific Transcranial Magnetic Stimulation Coil: An In Silico and In Vivo Validation Study

2019 ◽  
Vol 23 (3) ◽  
pp. 324-334 ◽  
Author(s):  
Julia Boonzaier ◽  
Petar I. Petrov ◽  
Willem M. Otte ◽  
Nickolay Smirnov ◽  
Sebastiaan F.W. Neggers ◽  
...  
Keyword(s):  
Transcranial Magnetic Stimulation ◽  
Validation Study ◽  
In Silico ◽  
Magnetic Stimulation ◽  
In Vivo Validation

scholarly journals Experimental Evaluation of Methods for Real-Time EEG Phase-Specific Transcranial Magnetic Stimulation

2019 ◽  
Author(s):  
Sina Shirinpour ◽  
Ivan Alekseichuk ◽  
Kathleen Mantell ◽  
Alexander Opitz
Keyword(s):  
Transcranial Magnetic Stimulation ◽  
Real Time ◽  
In Silico ◽  
Magnetic Stimulation ◽  
Training Data ◽  
System Level ◽  
Brain State ◽  
Brain Oscillations ◽  
Temporal Prediction

ABSTRACTBrain oscillations reflect system-level neural dynamics and capture the current brain state. These brain rhythms can be measured noninvasively in humans with electroencephalography (EEG). Up and down states of brain oscillations capture local changes in neuronal excitability. This makes them a promising target for non-invasive brain stimulation methods such as Transcranial Magnetic Stimulation (TMS). Real-time EEG-TMS systems record ongoing brain signals, process the data, and deliver TMS stimuli at a specific brain state. Despite their promise to increase the temporal specificity of stimulation, best practices and technical solutions are still under development. Here, we implement and compare state-of-the-art methods (Fourier based, Autoregressive Prediction) for real-time EEG-TMS and evaluate their performance both in silico and experimentally. We further propose a new robust algorithm for delivering real-time EEG phase-specific stimulation based on short prerecorded EEG training data (Educated Temporal Prediction). We found that Educated Temporal Prediction performs at the same level or better than Fourier-based or Autoregressive methods both in silico and in vivo, while being computationally more efficient. Further, we document a dependency of EEG signal-to-noise ratio (SNR) on algorithm accuracy across all algorithms. In conclusion, our results can give important insights for real-time TMS-EEG technical development as well as experimental design.

Porphyrins to restrict progression of pancreatic cancer by stabilizing KRAS G-quadruplex: In silico, in vitro and in vivo validation of anticancer strategy

2018 ◽  
Vol 125 ◽  
pp. 39-53 ◽  
Author(s):  
Rudradip Pattanayak ◽  
Atish Barua ◽  
Amlan Das ◽  
Tanima Chatterjee ◽  
Adrija Pathak ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
In Silico ◽  
G Quadruplex ◽  
In Vivo Validation

scholarly journals In silico identification and in vivo validation of a set of evolutionary conserved plant root-specific cis-regulatory elements

2013 ◽  
Vol 130 (1) ◽  
pp. 70-81 ◽  
Author(s):  
Aurélie Christ ◽  
Ira Maegele ◽  
Nati Ha ◽  
Hong Ha Nguyen ◽  
Martin D. Crespi ◽  
...  
Keyword(s):  
In Silico ◽  
Plant Root ◽  
Regulatory Elements ◽  
In Silico Identification ◽  
In Vivo Validation

scholarly journals Evaluation and Treatment of Vascular Cognitive Impairment by Transcranial Magnetic Stimulation

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Mariagiovanna Cantone ◽  
Giuseppe Lanza ◽  
Francesco Fisicaro ◽  
Manuela Pennisi ◽  
Rita Bella ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Synaptic Plasticity ◽  
Transcranial Magnetic Stimulation ◽  
Magnetic Stimulation ◽  
Cortical Excitability ◽  
Disease Process ◽  
Vascular Cognitive Impairment ◽  
Future Research ◽  
Disease Modifying Drugs

The exact relationship between cognitive functioning, cortical excitability, and synaptic plasticity in dementia is not completely understood. Vascular cognitive impairment (VCI) is deemed to be the most common cognitive disorder in the elderly since it encompasses any degree of vascular-based cognitive decline. In different cognitive disorders, including VCI, transcranial magnetic stimulation (TMS) can be exploited as a noninvasive tool able to evaluate in vivo the cortical excitability, the propension to undergo neural plastic phenomena, and the underlying transmission pathways. Overall, TMS in VCI revealed enhanced cortical excitability and synaptic plasticity that seem to correlate with the disease process and progression. In some patients, such plasticity may be considered as an adaptive response to disease progression, thus allowing the preservation of motor programming and execution. Recent findings also point out the possibility to employ TMS to predict cognitive deterioration in the so-called “brains at risk” for dementia, which may be those patients who benefit more of disease-modifying drugs and rehabilitative or neuromodulatory approaches, such as those based on repetitive TMS (rTMS). Finally, TMS can be exploited to select the responders to specific drugs in the attempt to maximize the response and to restore maladaptive plasticity. While no single TMS index owns enough specificity, a panel of TMS-derived measures can support VCI diagnosis and identify early markers of progression into dementia. This work reviews all TMS and rTMS studies on VCI. The aim is to evaluate how cortical excitability, plasticity, and connectivity interact in the pathophysiology of the impairment and to provide a translational perspective towards novel treatments of these patients. Current pitfalls and limitations of both studies and techniques are also discussed, together with possible solutions and future research agenda.

Design and analysis of motor-evoked potential data in pediatric neurobehavioral disorder investigations

2012 ◽  
Author(s):  
Donald L. Gilbert
Keyword(s):  
Transcranial Magnetic Stimulation ◽  
Research Methods ◽  
Magnetic Stimulation ◽  
Evoked Potential ◽  
Motor Evoked Potential ◽  
Experimental Designs ◽  
Future Research ◽  
Paired Pulse ◽  
Practical Guidance

This article discusses how transcranial magnetic stimulation (TMS) can be used to study the pathophysiological substrata of pediatric neurological and neurobehavioural disorders and to provide practical guidance for future research. It outlines the substantial challenges inherent in studying in vivo the neurobiology of pediatric neurobehavioural disorders, such as safety, quantitative versus categorical measures, and challenges in correlational studies. It discusses ways in which TMS generates quantitative measures that may function as endophenotypes for neurobehavioural disorders. Combining TMS with other modalities may also be informative. Single- and paired-pulse TMS is safe and well tolerated in children. The application of rigorous experimental designs and a combination of TMS with other research methods may increase the knowledge of pathophysiology and treatment of pediatric neurobehavioural disorders.

scholarly journals A model of stem cell population dynamics: in silico analysis and in vivo validation

2012 ◽  
Vol 125 (1) ◽  
pp. e1-e1 ◽  
Author(s):  
Y. Setty ◽  
D. Dalfo ◽  
D. Z. Korta ◽  
E. J. A. Hubbard ◽  
H. Kugler
Keyword(s):  
Population Dynamics ◽  
Stem Cell ◽  
Cell Population ◽  
In Silico ◽  
In Silico Analysis ◽  
Stem Cell Population ◽  
Cell Population Dynamics ◽  
Silico Analysis ◽  
In Vivo Validation

In Silico Identification and in Vivo Validation of Non-Invasive Biomarkers for Liver Fibrosis

2016 ◽  
Vol 64 (2) ◽  
pp. S735-S736
Author(s):  
P.J. Giraudi ◽  
S.E. Gambaro ◽  
C.M. Chackelevicius ◽  
M. Giuricin ◽  
L.S. Crocè ◽  
...  
Keyword(s):  
Liver Fibrosis ◽  
In Silico ◽  
Non Invasive ◽  
In Silico Identification ◽  
In Vivo Validation
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