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Matlab v2014a

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MATLAB is a high-level programming language and numerical computing environment developed by MathWorks. It is designed for technical computing, data analysis, and visualization. MATLAB provides a wide range of tools and functionalities for matrix manipulation, function plotting, algorithm implementation, and data processing.

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Ni usb 6212, by National Instruments (2 mentions) Finometer, by Finapres Medical Systems (2 mentions)

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MATLAB (20315 citations)

4 protocols using matlab v2014a

1

Quantitative Fluorescence Analysis

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The corresponding mean fluorescence of regions of interest (ROIs) were analyzed by Matlab v.2014a (The MathWorks) and plotted with Prism v.7 software (Matlab codes are available upon request).
Li J., Shang Z., Chen J.H., Gu W., Yao L., Yang X., Sun X., Wang L., Wang T., Liu S., Li J., Hou T., Xing D., Gill D.L., Li J., Wang S.Q., Hou L., Zhou Y., Tang A.H., Zhang X, & Wang Y. (2023). Engineering of NEMO as calcium indicators with large dynamics and high sensitivity. Nature Methods, 20(6), 918-924.
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2

Cerebrovascular Responses to Exercise

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With respect to the exercise response we have previously demonstrated that there is no significant difference in the right versus left MCAv response to exercise (Billinger, Craig, et al. 2017 (link)). Herein, the left MCA was the primary vessel of interest. If the signal was not obtainable, then the right side was used. (Billinger, Craig, et al. 2017 (link)) Briefly, participants were instrumented with the following equipment in the seated position: transcranial Doppler ultrasound (TCD) (Multigon Industries Inc. Yonkers, NY), beat-to-beat mean arterial blood pressure (MAP) (Finometer, Finapres Medical Systems, Amsterdam, The Netherlands) on the left middle finger, end-tidal carbon dioxide (PETCO2 in mmHg) via nasal cannula (BCI Capnocheck Sleep 9004 Smiths Medical, Dublin, OH) and HR via electrocardiogram (Cardiocard, Nasiff Associates, Central Square, NY). Data was acquired through an analog-to-digital data acquisition unit (NI-USB-6212, National Instruments) and custom written software operating in MATLAB (v2014a, The Mathworks Inc. Natick, MA).
Witte E., Liu Y., Ward J.L., Kempf K.S., Whitaker A., Vidoni E.D., Craig J.C., Poole D.C, & Billinger S.A. (2019). Exercise Intensity and Middle Cerebral Artery Dynamics in Humans. Respiratory physiology & neurobiology, 262, 32-39.
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3

Multimodal Monitoring of Cerebrovascular Dynamics

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Individuals were instrumented with the following equipment: (1) transcranial Doppler ultrasound (Multigon Industries Inc., Yonkers, NY), an adjustable headband, and 2‐MHz transcranial Doppler ultrasound probes for acquisition of MCAv (cm×s−1). The transcranial Doppler ultrasound sonographer was blinded to the side of stroke and entered the room only after the participant was set up to find the MCAv signal; (2) A 5‐lead ECG (Cardiocard, Nasiff Associates, Central Square, NY) recorded heart rate (HR); (3) beat‐to‐beat MAP was obtained from the left middle finger (Finometer, Finapres Medical Systems, Amsterdam, The Netherlands); and (4) nasal cannula and capnograph (BCI Capnocheck Sleep 9004 Smiths Medical, Dublin, OH). We monitored PETCO2 to ensure participants did not hyperventilate,8 resulting in lower PETCO2 and cerebral artery vasoconstriction. Raw data acquisition occurred through an analog‐to‐digital unit (NI‐USB‐6212, National Instruments) and custom‐written software operating in MATLAB (v2014a, The Mathworks Inc., Natick, MA).
Billinger S.A., Whitaker A.A., Morton A., Kaufman C.S., Perdomo S.J., Ward J.L., Eickmeyer S.M., Bai S.X., Ledbetter L, & Abraham M.G. (2021). Pilot Study to Characterize Middle Cerebral Artery Dynamic Response to an Acute Bout of Moderate Intensity Exercise at 3‐ and 6‐Months Poststroke. Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 10(3), e017821.
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4

Time-Varying EEG Connectivity Networks

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In this study, the recorded EEG was first pre-processed to acquire the artifact-free trials and then used to construct the corresponding time-varying effective connectivity networks, which was carried out using MATLAB v2014a (The MathWorks Inc., Natick, MA). The details were further depicted in the following sections.
Li F., Jiang L., Li Y., Huang D., Jiang Y., Peng Y., Zhang X., Yao D., Xu P., & Li H. (2020). The Time-varying Networks of the Wrist Extension in Post-stroke Hemiplegic Patients.
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