Validation of reproducible mechanical stimulation
The representative device configuration and vibration-output validation shown in Figure 1 were generated for the present manuscript, whereas the quantitative reference ranges for manual acupuncture-derived vibration parameters were summarized from prior validation studies.
The MAI was validated by comparing the mechanical output generated during manual acupuncture manipulation with that generated by device-driven stimulation (Figure 1). Manual manipulation of an acupuncture needle produced abrupt and irregular acceleration peaks at the needle tip, with substantial variability across operators13. In the original validation study, acceleration values ranged from 0.1 m/s2 to 2.9 m/s2, with an average value of approximately 1.3 m/s2, and dominant vibration frequencies of approximately 70–90 Hz were detected during manual needle manipulation (Figure 1A,B)3,13.
Based on these measurements, the MAI was configured to deliver reproducible vibratory stimulation at 85 Hz and 1.3 m/s2. Under these conditions, the device generated stable and continuous acceleration waveforms during stimulation, demonstrating that manual-like needle vibration can be converted into quantifiable and reproducible mechanical input (Figure 1D,E).
This observation represents a direct mechanical validation of device output rather than a behavioral or mechanistic interpretation. These findings validate the MAI platform's ability to standardize mechanical acupuncture stimulation while preserving vibration characteristics comparable to those of manual acupuncture manipulation.
Behavioral validation in a cocaine-induced locomotor activity model
The behavioral data shown in Figure 2 are presented as representative validation data from prior MAI studies using a rat cocaine-induced locomotor activity model, unless otherwise indicated in the figure legend.
The biological effectiveness of the protocol was evaluated using a cocaine-induced locomotor activity model (Figure 2). Cocaine administration markedly increased locomotor activity, whereas MAI stimulation at HT7 significantly attenuated cocaine-induced hyperlocomotion4,5,7,8,13. These experiments were generally performed with 6–8 rats per group, and statistical significance was determined using ANOVA-based comparisons as reported in the original studies. The inhibitory effect was stimulation-duration dependent and was most robust following 20 s of stimulation at 85 Hz and 1.3 m/s2 (Figure 2A–C).
Stimulation parameter optimization experiments further demonstrated that the inhibitory effect depended on stimulation intensity and acupuncture point location. Mechanical stimulation delivered at HT7 significantly reduced cocaine-induced locomotor responses, whereas stimulation of the nearby control point LI5 under identical conditions failed to suppress locomotor activity4,13. Thus, the direct behavioral observation was that HT7 stimulation reduced cocaine-induced locomotor activity, whereas LI5 stimulation did not produce the same inhibitory effect under matched stimulation conditions (Figure 2D,E). These findings indicate that the behavioral effect was acupuncture point-specific rather than a nonspecific consequence of restraint or wrist stimulation.
Prior validation evidence for the peripheral and central pathways involved in MAI stimulation
The results in this section are summarized from prior mechanistic validation studies. Peripheral and central validation experiments further supported the specificity of the MAI protocol (Figure 3). The inhibitory effect of HT7 stimulation was significantly reduced by local anesthetic injection and abolished by ulnar nerve transection, indicating that intact peripheral ulnar afferent signaling is required for the behavioral effects of mechanical acupuncture stimulation3,13. In contrast, radial or median nerve transection did not abolish the inhibitory effect of HT7 stimulation, supporting the anatomical specificity of the ulnar afferent pathway. These experiments were performed with group sizes reported in the original studies, typically 6–8 rats per group unless otherwise specified.
Representative recordings demonstrated that MAI stimulation preferentially activated large myelinated A-fiber pathways associated with mechanoreceptors, including Pacinian and Meissner corpuscles, whereas relatively weaker responses were observed in C/Aδ-fiber nociceptive pathway5,13. This statement refers to direct electrophysiological observations of afferent responses. The interpretation that these responses reflect mechanoreceptor-associated signaling is presented as a pathway-level inference based on prior validation studies. In addition, ulnar mechanical stimulation activated the dorsal column–cuneate nucleus pathway, and disruption of this pathway prevented the inhibitory effect on cocaine-induced locomotor responses3. Subsequent studies further demonstrated involvement of the lateral hypothalamus, medial prefrontal cortex-lateral habenula pathway, rostromedial tegmental nucleus, and mesolimbic dopaminergic circuitry in MAI-mediated suppression of cocaine-related behavioral responses (Figure 4)3,4,7,8,13,15. These central pathway studies included pathway disruption or inhibition approaches, such as electrolytic lesion, ibotenic acid-induced chemical lesion, and halorhodopsin-mediated optogenetic inhibition, to test whether these circuits were required for the behavioral effects of HT7 stimulation. Because these experiments involve specialized circuit-level manipulations, they are summarized here as prior validation evidence rather than presented as step-by-step experimental procedures.
Collectively, these representative results demonstrate that MAI-based stimulation provides a reproducible and quantifiable mechanical acupuncture protocol capable of engaging defined peripheral mechanoreceptor pathways and modulating reward-related neural circuits and behavioral responses.

Figure 1: Development and validation of the mechanical acupuncture instrument (MAI). (A) Schematic illustration showing variability in manual acupuncture manipulation across operators. (B) Representative acceleration traces generated during manual acupuncture manipulation. (C) Effect of manual acupuncture at HT7 performed by four different operators on cocaine-induced locomotor activity, illustrating inter-operator variability in the behavioral effects of manual stimulation. (D) Annotated image of the assembled MAI showing the needle, alligator clip, vibration motor, and rubber stopper used to standardize the 3-mm insertion depth. (E) Representative acceleration waveform generated by the MAI at 85 Hz and 1.3 m/s2, demonstrating stable and reproducible mechanical stimulation. (F) Representative images showing the anatomical locations of HT7 and LI5 in the rat forepaw. Red dots indicate the acupuncture point locations used for needle insertion. HT7 was identified at the transverse wrist crease near the flexor carpi ulnaris tendon, whereas LI5 was identified on the radial side of the dorsal wrist between the extensor pollicis and extensor pollicis brevis tendons, providing reproducible anatomical landmarks for acupoint localization. This figure has been adapted with permission from Kim et al.13. Please click here to view a larger version of this figure.

Figure 2: Optimization of mechanical stimulation parameters in the cocaine-induced locomotor activity model. (A–C) Effects of stimulation duration, stimulation intensity, and needle insertion depth on cocaine-induced locomotor activity. (A) HT7-MAI stimulation was applied for 0, 10, 20, or 40 s at 85 Hz and 1.3 m/s2. (B) HT7-MAI stimulation was applied for 20 s at different acceleration intensities. (C) HT7-MAI stimulation was applied at different needle insertion depths. (D) Representative movement traces during locomotor activity testing after saline, cocaine, cocaine plus HT7 stimulation, or cocaine plus LI5 stimulation. (E) Mechanical acupuncture stimulation at HT7, but not LI5, delivered at 85 Hz and 1.3 m/s2 for 20 s, significantly attenuated cocaine-induced enhancement of locomotor activity. Data are presented as mean ± SEM. *p < 0.05 versus cocaine-treated control. This figure has been adapted with permission from Kim et al.13. Please click here to view a larger version of this figure.

Figure 3: Peripheral afferent and mechanoreceptor validation of MAI-mediated acupuncture effects. (A) Schematic diagram of mechanical acupuncture-induced peripheral-to-central signaling. Vibratory stimulation at HT7 activates mechanoreceptors, including Meissner and Pacinian corpuscles, in cutaneous and subcutaneous tissues. These signals are transmitted via large myelinated A-fiber afferents of the ulnar nerve to C8–T1 spinal segments and subsequently influence the mesolimbic dopaminergic system. (B) Effect of local anesthetic injection on the inhibitory effect of HT7-MAI stimulation. Bupivacaine injection around HT7 reduced the suppressive effect of HT7 stimulation on cocaine-induced locomotor activity, indicating the involvement of local peripheral afferent signaling. (C–H) Somatic afferent responses of Pacinian corpuscle-associated fibers and Meissner corpuscle-associated fibers during MAI stimulation at HT7. (I–N) Responses of A-fibers and C-fibers during MAI stimulation at HT7. MAI stimulation robustly activated A-fiber afferents and produced weaker C-fiber responses. Data are presented as mean ± SEM. *p < 0.05 versus baseline or cocaine-treated control, as appropriate. This figure has been adapted with permission from Kim et al.13. Please click here to view a larger version of this figure.

Figure 4: Proposed peripheral-to-central neural pathway underlying MAI-mediated modulation of cocaine-induced responses and mesolimbic dopaminergic system. MAI stimulation on the skin activates peripheral sensory nerves and transmits somatosensory signals through spinal ascending pathways. These inputs are relayed to brain circuits involving the mPFC, LHb, RMTg, VTA, and NAc. Activation of the mPFC–LHb–RMTg pathway may enhance GABAergic inhibition of VTA dopamine neurons, thereby reducing dopamine release in the NAc and suppressing cocaine-induced psychomotor activation. Please click here to view a larger version of this figure.