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24 protocols using adxl335

1

Linear Maze Navigation Protocol

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For the linear track analyses, neuronal activity was recorded in 4.5 [1.9 10.1]-h sessions (median [interquartile interval, IQR]). At the beginning of every session, neural activity was recorded while the animal was in the home cage. The animal was then placed on a 150 cm linear track that extended between two 10 × 10 cm square platforms. Each platform included a water delivery port. Mice were under water restriction and were trained to repeatedly traverse the track for a water reward of 3–10 μl. Over all sessions, mice ran 167 [132 200] one-direction trials over about 1 h (Extended Data Fig. 5-2). Trials with a mean running speed below 10 cm/s were excluded from analyses. Animals were equipped with a three-axis accelerometer (ADXL-335, Analog Devices) for monitoring head movements. Head position and orientation were tracked in real-time using two head-mounted LEDs, a machine vision camera (ace 1300-1200uc, Basler), and a dedicated system (“Spotter,” Gaspar et al., 2019 (link)).
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2

Multimodal Physiological Monitoring in fNIRS Research

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Systemic physiological changes and head motions of the subjects were simultaneously recorded along with the fNIRS data. An MP160 data acquisition and analysis system was used to record auxiliary physiological changes (BIOPAC Systems Inc., Goleta, CA). The pulse waveform was recorded using a PPG100C amplifier and TSD200 Photo Plethysmogram (PPG) pulse transducer placed on the subject’s right index finger (BIOPAC Systems Inc., Goleta, CA). Respiration data was collected via measuring the abdominal (or thoracic) expansion and contraction using a RSP100C amplifier and a TSD201 respiration transducer (respiration belt) (BIOPAC Systems Inc., Goleta, CA) around the subject’s chest. The blood pressure waveform was recorded using a DA100C amplifier and a TSD110 pressure transducer (BIOPAC Systems Inc., Goleta, CA) placed on the subject’s right thumb. Head motions in x, y, z directions were collected using an accelerometer (ADXL335, Analog Devices Inc., Norwood, MA) secured on the head with a headband. Respiration, blood pressure waveform, PPG and accelerometer data were simultaneously acquired at 50 Hz throughout the experiment.
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3

Neuromuscular Assessment of Leg Muscles

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Subjects were asked to sit upright in a Biodex chair with the knee joint angle kept at full extension. The right foot was fixed on a footplate attached with a 6-axis force measuring device (Omega160, ATI Industrial Automation, Apex, NC, USA). Surface EMG electrodes (Bagnoli, Delsys Inc., Boston, MA, USA) were placed on the middle part of the lateral gastrocnemius (LG), soleus (SOL), and tibialis anterior, and on the distal part of the MG muscle belly. A ground electrode was placed on the lateral malleolus, and the attachment area used for all the electrodes was cleaned with alcohol pads before electrode placement. MMG signals were recorded from the distal MG muscle using a 3-axis accelerometer (ADXL335, Analog Devices, Wilmington, MA, USA; sensitivity: 300 mV/g), with z-direction perpendicular to the skin surface over MG muscle (Figure 1). MMG signals were also collected from the belly part of both LG and SOL muscles with other accelerometers (ADXL354, Analog Devices, Wilmington, MA, USA; sensitivity: 400 mV/g). EMG, MMG, and torque signals were recorded simultaneously at a sampling frequency of 2 kHz (NI USB-6259 BNC, National Instrument, Austin, TX, USA).
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4

Gait Cycle Tracking using Accelerometers

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In order to track the gait cycle during walking in the Lokomat accelerometers were positioned on each leg above the metatarsal bones (Fig 1A). The accelerometers used were type ADXL 335 (Analog Devices One Technology Way, MA, USA).
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5

Accelerometer-based Motion Rejection in 2P Imaging

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To exclude data with excessive motion, an accelerometer (ADXL335, Sainsmart, Analog Devices) was attached below the mouse hammock. The accelerometer readout was synchronized with 2-photon imaging and recorded using a dedicated data acquisition system (National Instruments). During periods with extensive body movement (e.g., grooming behavior), the accelerometer signal crossed a predefined threshold, above which data were rejected. In pilot experiments, in addition to the accelerometer, a webcam (Lifecam Studio, Microsoft; infrared filter removed) with infrared illumination (M940L3-IR [940 nm] LED, Thorlabs) was used for video recording of the mouse during imaging. The videos and accelerometer readings were in general agreement with each other. Therefore, accelerometer data alone were used to calculate the rejection threshold. Because every point was revisited 20 times, typically at least 10 repetitions (or 500 excitation cycles) were unaffected by motion and were used to estimate τ. The MATLAB function lsqnonlin used to fit phosphorescent decays returned the residual error for each fit, which we plotted against the number of cycles (S9 Fig). At around 500 cycles, the error stabilized at a low level. Therefore, we quantified points where at least 500 cycles were available.
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6

Wearable Triaxial Activity Sensor

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The GT3X activity sensor consists of a three-axial acceleration sensor (adxl335, Analog Devices, Boston, USA; range: ±3 g; sampling rate: 30 Hz; resolution: 12 bit). The sensor weighs 27 g, measures 3.8×3.7×1.8 cm3, can be worn either on the hip or on the wrist and allows measurements for up to 21 days. The recorded data is saved as activity counts on a 4 MB flash memory and transferred to the computer via standard USB 2.0 interface.
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7

Long-term Evaluation of DBS Effects

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Recordings were collected before the initial activation of the DBS system at initial programming (IP), which was 1 month after implantation of the DBS leads, and off all therapy after 6 months, and then 1, 2, 3, 4, and 5 years after the initial programing (IP) visit. At the follow‐up visits, stimulation was turned off and seated resting state local field potential (LFP) recordings were collected 60–75 min later. This timing was chosen since we have previously demonstrated that the effect of DBS on the LFP is washed out well before this time window.20 Limb or head movement was monitored using angular velocity sensors on the hands and feet (Motus Bioengineering, Inc., Benicia, CA), a triaxial accelerometer on the forehead (ADXL335, Analog Devices, Norewood, MA), and with synchronized video recordings (30 FPS) from a USB web camera (C930e, Logitech, Lausanne, Switzerland). The MDS‐UPDRS III – motor subscale was performed by a certified rater preoperatively (on and off medication), off medication at IP, and then off all therapy at all follow‐up visits after DBS had been turned off for at least 60 min.
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8

Multimodal Physiological Monitoring in fNIRS Research

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Systemic physiological changes and head motions of the subjects were simultaneously recorded along with the fNIRS data. An MP160 data acquisition and analysis system was used to record auxiliary physiological changes (BIOPAC Systems Inc., Goleta, CA). The pulse waveform was recorded using a PPG100C amplifier and TSD200 Photo Plethysmogram (PPG) pulse transducer placed on the subject’s right index finger (BIOPAC Systems Inc., Goleta, CA). Respiration data was collected via measuring the abdominal (or thoracic) expansion and contraction using a RSP100C amplifier and a TSD201 respiration transducer (respiration belt) (BIOPAC Systems Inc., Goleta, CA) around the subject’s chest. The blood pressure waveform was recorded using a DA100C amplifier and a TSD110 pressure transducer (BIOPAC Systems Inc., Goleta, CA) placed on the subject’s right thumb. Head motions in x, y, z directions were collected using an accelerometer (ADXL335, Analog Devices Inc., Norwood, MA) secured on the head with a headband. Respiration, blood pressure waveform, PPG and accelerometer data were simultaneously acquired at 50 Hz throughout the experiment.
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9

Continuous Head Movement Monitoring

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To monitor the rats’ head movements continuously, we placed a small 3-axis accelerometer (ADXL 335, Analog Devices) on the recording head-stage (Figure 1—figure supplement 1). The output of the accelerometer was sampled at 7.5 kHz per axis. We also recorded 24/7 continuous video at 30 frames per second with a CCD camera (Flea 3, Point Grey) or a webcam (Agama V-1325R). Video was synchronized to electrophysiological signals by recording TTL pulses from the CCD cameras that signaled frame capture times.
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10

Wireless Intranasal Pressure and Acceleration Monitoring

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During recordings, we magnetically attached to the intranasal cannula a pressure sensor (24PCAFA6G, Honeywell) integrated into a custom-made wireless headstage based on the DIGI XBee module powered with 3 V from a Li-ion battery (weight 20–23 g, see Figure 1, schematics available on request). The headstage included a 3-axis accelerometer (ADXL335, Analog Devices) with signal filtered to 50 Hz 3 dB bandwidth with 0.1 μF capacitors. Voltage outputs from this component are linearly proportional to acceleration (300 mV/g with 3 V supply voltage). The pressure and acceleration signals were transmitted with a sampling rate of 200 Hz each and digitized in synchrony with the ultrasound. The transmission imposed a 2-sample (10 ms) delay which was not corrected.
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