Antonietta

Verified @cognitiveneuroscience.it

Research Scientist - Neurophysiology Lab
IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli

Antonietta


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https://researchid.co/astango
14

Scopus Publications

1326

Scholar Citations

9

Scholar h-index

8

Scholar i10-index

Scopus Publications

  • Immediate TMS-EEG responses reveal motor cortex excitability
    Antonietta Stango, Agnese Zazio, Guido Barchiesi, Natale Salvatore Bonfiglio, Elisa Dognini, Eleonora Marcantoni, Marta Bortoletto
    Neuroimage, 2026
    • Local excitability measures are crucial to understand healthy and pathological brains • We tested immediate TMS-related responses as non-invasive indexes of M1 excitability • TMS over M1 elicited immediate TMS-evoked potentials (i-TEPs) in the precentral gyrus • Immediate TMS-related power (i-TRP) was positively related to motor evoked potentials • i-TEPs and i-TRP showed distinct spatial and frequency profiles than muscle artifact The combination of transcranial magnetic stimulation and electroencephalography (TMS-EEG) is typically used to probe cortical excitability at the network level, as local excitability measures were previously not feasible. However, a recent study revealed immediate TMS-evoked potentials (i-TEPs) following primary motor cortex (M1) stimulation, yet their physiological origin remains uncertain. Here, we aimed to test whether this immediate activity is replicable, physiological, and related to motor cortex excitability. Analyses were conducted on data from 28 healthy participants who underwent M1 stimulation using two opposite biphasic current directions. We run a minimal preprocessing and then, upon visual inspection, we divided the sample according to the presence/absence of muscle artifacts (Muscle/NoMuscle groups). First, we successfully replicated i-TEPs for both current directions. Second, source localization revealed that the i-TEPs signal originated in the precentral gyrus of the stimulated hemisphere. Third, we computed the immediate TMS-related power (i-TRP) to disentangle the components contributing to the i-TEP signal. Two oscillatory peaks emerged at 100–200 Hz and 600–800 Hz. Finally, we tested the relationship between i-TRP components and motor evoked potentials (MEPs) amplitude in NoMuscle groups (n=8 for both current directions, n=14 for anterior-to-posterior and posterior-to-anterior induced current). The analysis showed a robust positive association between i-TRP in the 600–800 Hz range and MEP amplitude, suggesting that this component reflects M1 excitability. Overall, our findings converge in indicating the physiological nature of immediate TMS-EEG responses, suggesting that they reflect the excitability of the stimulated cortex.
  • Impact of high-frequency sampling rate and stimulation intensity on early TMS artifacts: considerations for immediate TMS-EEG responses
    Antonietta Stango, Agnese Zazio, Guido Barchiesi, Natale Salvatore Bonfiglio, Marta Bortoletto
    Neuroimage, 2025
    • TMS-Pulse and Decay Artifacts hinder immediate and early EEG responses after TMS • High sampling rate EEG recordings reduce the TMS-pulse artifact to under 1 ms • The Decay Artifact is mainly affected by TMS intensity • Even in ideal conditions, the Decay Artifact lasts longer than the TMS-pulse artifact • The Decay Artifact is currently the main issue to measure immediate TMS-EEG responses In studies combining transcranial magnetic stimulation and electroencephalography (TMS-EEG), two artifacts appear instantly after the TMS pulse, i.e., the TMS-pulse Artifact and the Decay Artifact, and limit the possibility to measure immediate cortical excitability responses. High-frequency sampling rates in EEG recordings have shown promise in reducing artifact duration, allowing more rapid signal recovery. However, the features of early TMS-induced artifacts for sampling rates above 5000 Hz are still not fully characterized. Here, we explored the duration of TMS artifacts to understand how they can be further reduced to allow the measure of immediate TMS-EEG responses (i.e., 2-3 ms after the TMS pulse). We recorded from two phantom head models, namely a melon and a simple electrical circuit, with a sampling rate of 4800 Hz, 9600 Hz, and 19200 Hz and at three TMS intensities (40%, 70%, 100% of maximum stimulator output) in two commercial stimulators. A non-parametric Aligned Rank Transform Analysis of Variance was applied with a 2 × 3 × 3 design, with Phantom, Sampling rate and TMS Intensity as factors. Results showed an initial sharp TMS-pulse Artifact lasting less than 1 ms and decreasing in duration at higher sampling rates ( p <0.001). However, the signal was back to baseline at about 2-3 ms due to the presence of a Decay Artifact that was evident even in optimal conditions of low impedance and mostly dependent on stimulation intensity (p <0.001) . These results highlight the need to develop efficient ways to eliminate the Decay Artifact in order to measure immediate TMS-EEG responses.
  • Unveiling Major Depressive Disorder Through TMS-EEG: From Traditional to Emerging Approaches
    Antonietta Stango, Claudia Fracassi, Andrea Cesareni, Barbara Borroni, Agnese Zazio
    Biomedicines, 2025
    Major depressive disorder (MDD) is one of the most prevalent psychiatric conditions and is characterized by alterations in cortical excitability, network connectivity, and neuroplasticity. Despite significant progress in neuroimaging and neurophysiology, the identification of objective and reliable biomarkers remains a major challenge, limiting diagnostic accuracy and treatment optimization. Transcranial magnetic stimulation combined with electroencephalography (TMS-EEG) has emerged as a powerful methodology to probe causal brain dynamics with high temporal resolution. This review aims to summarize recent advances in the application of TMS-EEG to MDD, highlighting the transition from traditional TMS-evoked potential (TEP) analyses to more advanced, multidimensional approaches. We reviewed original research articles published between 2020 and 2025 that investigated neurophysiological markers and approaches to MDD using TMS-EEG. Traditional TEP measures provide markers of local cortical responses but are limited in capturing distributed network dysfunction. Emerging approaches expand the scope of TMS-EEG, allowing for the characterization of oscillatory activity, connectivity patterns, and large-scale network dynamics. Recent contributions also demonstrate the potential of computational and multivariate techniques to enhance biomarker sensitivity and predictive value. Taken together, recent evidence highlights TMS-EEG as a uniquely positioned methodology to investigate the neurophysiological substrates of MDD. By linking conventional TEP-based indices with innovative analytic strategies, TMS-EEG enables a multidimensional assessment of cortical function and dysfunction that transcends traditional descriptive markers. This integrative perspective not only refines mechanistic models of MDD but also opens new avenues for biomarker discovery, patient stratification, and treatment monitoring. Ultimately, the convergence of advanced TMS-EEG approaches with clinical applications holds promise for translating neurophysiological insights into precision psychiatry interventions aimed at improving outcomes in MDD.
  • Stimulation Parameters Recruit Distinct Cortico-Cortical Pathways: Insights from Microstate Analysis on TMS-Evoked Potentials
    Delia Lucarelli, Giacomo Guidali, Dominika Sulcova, Agnese Zazio, Natale Salvatore Bonfiglio, Antonietta Stango, Guido Barchiesi, Marta Bortoletto
    Brain Topography, 2025
    Transcranial magnetic stimulation (TMS)-evoked potentials (TEPs) represent an innovative measure for examining brain connectivity and developing biomarkers of psychiatric conditions. Minimizing TEP variability across studies and participants, which may stem from methodological choices, is therefore vital. By combining classic peak analysis and microstate investigation, we tested how TMS pulse waveform and current direction may affect cortico-cortical circuit engagement when targeting the primary motor cortex (M1). We aim to disentangle whether changing these parameters affects the degree of activation of the same neural circuitry or may lead to changes in the pathways through which the induced activation spreads. Thirty-two healthy participants underwent a TMS-EEG experiment in which the pulse waveform (monophasic, biphasic) and current direction (posterior-anterior, anterior-posterior, latero-medial) were manipulated. We assessed the latency and amplitude of M1-TEP components and employed microstate analyses to test differences in topographies. Results revealed that TMS parameters strongly influenced M1-TEP components’ amplitude but had a weaker role over their latencies. Microstate analysis showed that the current direction in monophasic stimulations changed the pattern of evoked microstates at the early TEP latencies, as well as their duration and global field power. This study shows that the current direction of monophasic pulses may modulate cortical sources contributing to TEP signals, activating neural populations and cortico-cortical paths more selectively. Biphasic stimulation reduces the variability associated with current direction and may be better suited when TMS targeting is blind to anatomical information.
  • Investigating visuo-tactile mirror properties in borderline personality disorder: A TMS-EEG study
    Agnese Zazio, Cora Miranda Lanza, Antonietta Stango, Giacomo Guidali, Eleonora Marcantoni, Delia Lucarelli, Serena Meloni, Nadia Bolognini, Roberta Rossi, Marta Bortoletto
    Clinical Neurophysiology, 2024
    OBJECTIVES: Patients with borderline personality disorder (pw-BPD) have decreased levels of cognitive empathy, which may be subtended by mirror-like mechanisms in the somatosensory cortices, i.e., the Tactile Mirror System (TaMS). Here, we aimed to shed light on the TaMS and empathic deficits in pw-BPD focusing on connectivity, using transcranial magnetic stimulation and electroencephalography (TMS-EEG). METHODS: After study preregistration, we collected self-report measures of empathic abilities, behavioral performance in a visuo-tactile spatial congruency task investigating TaMS activity, and TMS-evoked potentials (TEPs) from 20 pw-BPD and 20 healthy controls. TMS was delivered over the right primary somatosensory cortex (S1) during touch observation and real touch delivery. RESULTS: Pw-BPD reported significantly lower levels of cognitive empathy than controls and made significantly more errors in reporting the side of real touches during touch observation. Moreover, pw-BPD presented an altered connectivity pattern from S1-TEPs during touch perception and touch observation, in the last case without differences between human- and object-directed touches. CONCLUSIONS: The results do not support a specific impairment of TaMS in pw-BPD, but reveal significant behavioral and connectivity alterations within the somatosensory network during touch processing. SIGNIFICANCE: The present findings temper the proposed role of the TaMS in BPD, while still highlighting the involvement of somatosensory network alterations.
  • Effects of transcranial magnetic stimulation (TMS) current direction and pulse waveform on cortico-cortical connectivity: A registered report TMS-EEG study
    Giacomo Guidali, Agnese Zazio, Delia Lucarelli, Eleonora Marcantoni, Antonietta Stango, Guido Barchiesi, Marta Bortoletto
    European Journal of Neuroscience, 2023
    Transcranial magnetic stimulation (TMS)‐evoked potentials (TEPs) are a promising proxy for measuring effective connectivity, that is, the directed transmission of physiological signals along cortico‐cortical tracts, and for developing connectivity‐based biomarkers. A crucial point is how stimulation parameters may affect TEPs, as they may contribute to the general variability of findings across studies. Here, we manipulated two TMS parameters (i.e. current direction and pulse waveform) while measuring (a) an early TEP component reflecting contralateral inhibition of motor areas, namely, M1‐P15, as an operative model of interhemispheric cortico‐cortical connectivity, and (b) motor‐evoked potentials (MEP) for the corticospinal pathway. Our results showed that these two TMS parameters are crucial to evoke the M1‐P15, influencing its amplitude, latency, and replicability. Specifically, (a) M1‐P15 amplitude was strongly affected by current direction in monophasic stimulation; (b) M1‐P15 latency was significantly modulated by current direction for monophasic and biphasic pulses. The replicability of M1‐P15 was substantial for the same stimulation condition. At the same time, it was poor when stimulation parameters were changed, suggesting that these factors must be controlled to obtain stable single‐subject measures. Finally, MEP latency was modulated by current direction, whereas non‐statistically significant changes were evident for amplitude. Overall, our study highlights the importance of TMS parameters for early TEP responses recording and suggests controlling their impact in developing connectivity biomarkers from TEPs. Moreover, these results point out that the excitability of the corticospinal tract, which is commonly used as a reference to set TMS intensity, may not correspond to the excitability of cortico‐cortical pathways.
  • Rhythmic TMS as a Feasible Tool to Uncover the Oscillatory Signatures of Audiovisual Integration
    Riccardo Bertaccini, Giuseppe Ippolito, Luca Tarasi, Agnese Zazio, Antonietta Stango, Marta Bortoletto, Vincenzo Romei
    Biomedicines, 2023
    Multisensory integration is quintessential to adaptive behavior, with clinical populations showing significant impairments in this domain, most notably hallucinatory reports. Interestingly, altered cross-modal interactions have also been reported in healthy individuals when engaged in tasks such as the Sound-Induced Flash-Illusion (SIFI). The temporal dynamics of the SIFI have been recently tied to the speed of occipital alpha rhythms (IAF), with faster oscillations entailing reduced temporal windows within which the illusion is experienced. In this regard, entrainment-based protocols have not yet implemented rhythmic transcranial magnetic stimulation (rhTMS) to causally test for this relationship. It thus remains to be evaluated whether rhTMS-induced acoustic and somatosensory sensations may not specifically interfere with the illusion. Here, we addressed this issue by asking 27 volunteers to perform a SIFI paradigm under different Sham and active rhTMS protocols, delivered over the occipital pole at the IAF. Although TMS has been proven to act upon brain tissues excitability, results show that the SIFI occurred for both Sham and active rhTMS, with the illusory rate not being significantly different between baseline and stimulation conditions. This aligns with the discrete sampling hypothesis, for which alpha amplitude modulation, known to reflect changes in cortical excitability, should not account for changes in the illusory rate. Moreover, these findings highlight the viability of rhTMS-based interventions as a means to probe the neuroelectric signatures of illusory and hallucinatory audiovisual experiences, in healthy and neuropsychiatric populations.
  • The hand motor hotspot for seed-based functional connectivity of hand motor networks at rest
    L. Bonzano, M. Bortoletto, A. Zazio, Costanza Iester, Antonietta Stango, R. Gasparotti, C. Miniussi, M. Bove
    Frontiers in Neuroscience, 2022
    In the seed-based method for studying functional connectivity (FC), seed selection is relevant. Here, we propose a new methodological approach for resting-state FC analysis of hand motor networks using the individual hand motor hotspot (hMHS) as seed. Nineteen right-handed healthy volunteers underwent a transcranial magnetic stimulation (TMS) session and resting-state fMRI. For each subject, the hMHS in both hemispheres was identified by TMS with the contralateral abductor pollicis brevis muscle as the target, the site eliciting the highest and most reliable motor-evoked potentials. Seed regions were built on coordinates on the cortex corresponding to the individual left and right hMHSs. For comparison, the left and right Brodmann’s area 4 (BA4) masks extracted from a standard atlas were used as seed. The left and right hMHSs showed FC patterns at rest mainly including sensorimotor regions, with a bilateral connectivity only for the left hMHS. The statistical contrast BA4 > hMHS for both hemispheres showed different extension and lateralization of the functionally connected cortical regions. On the contrary, no voxels survived the opposite contrast (hMHS > BA4). This suggests that detection of individual hand motor seeds by TMS allows to identify functionally connected motor networks that are more specific with respect to those obtained starting from the a priori atlas-based identification of the primary motor cortex.
  • Characterization of in-body to on-body wireless radio frequency link for upper limb prostheses
    Antonietta Stango, Kamya Yekeh Yazdandoost, Francesco Negro, Dario Farina
    Plos One, 2016
    Wireless implanted devices can be used to interface patients with disabilities with the aim of restoring impaired motor functions. Implanted devices that record and transmit electromyographic (EMG) signals have been applied for the control of active prostheses. This simulation study investigates the propagation losses and the absorption rate of a wireless radio frequency link for in-to-on body communication in the medical implant communication service (MICS) frequency band to control myoelectric upper limb prostheses. The implanted antenna is selected and a suitable external antenna is designed. The characterization of both antennas is done by numerical simulations. A heterogeneous 3D body model and a 3D electromagnetic solver have been used to model the path loss and to characterize the specific absorption rate (SAR). The path loss parameters were extracted and the SAR was characterized, verifying the compliance with the guideline limits. The path loss model has been also used for a preliminary link budget analysis to determine the feasibility of such system compliant with the IEEE 802.15.6 standard. The resulting link margin of 11 dB confirms the feasibility of the system proposed.
  • Wireless radio channel for intramuscular electrode implants in the control of upper limb prostheses
    Antonietta Stango, Kamya Yekeh Yazdandoost, Dario Farina
    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, 2015
    In the last few years the use of implanted devices has been considered also in the field of myoelectric hand prostheses. Wireless implanted EMG (Electromyogram) sensors can improve the functioning of the prosthesis, providing information without the disadvantage of the wires, and the usability by amputees. The solutions proposed in the literature are based on proprietary communication protocols between the implanted devices and the prosthesis controller, using frequency bands that are already assigned to other purposes. This study proposes the use of a standard communication protocol (IEEE 802.15.6), specific for wireless body area networks (WBANs), which assign a specific bandwidth to implanted devices. The propagation losses from in-to-on body were investigated by numerical simulation with a 3D human model and an electromagnetic solver. The channel model resulting from the study represents the first step towards the development of myoelectric prosthetic hands which are driven by signals acquired by implanted sensors. However these results can provide important information to researchers for further developments, and manufacturers, which can decrease the production costs for hand prostheses having a common standard of communication with assigned frequencies of operation.
  • Spatial Correlation of High Density EMG Signals Provides Features Robust to Electrode Number and Shift in Pattern Recognition for Myocontrol
    Antonietta Stango, Francesco Negro, Dario Farina
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2015
  • Proposed embedded security framework for Internet of Things (IoT)
    Sachin Babar, Antonietta Stango, Neeli Prasad, Jaydip Sen, Ramjee Prasad
    2011 2nd International Conference on Wireless Communication Vehicular Technology Information Theory and Aerospace and Electronic Systems Technology Wireless Vitae 2011, 2011
  • Proposed security model and threat taxonomy for the Internet of Things (IoT)
    Sachin Babar, Parikshit Mahalle, Antonietta Stango, Neeli Prasad, Ramjee Prasad
    Communications in Computer and Information Science, 2010
  • A threat analysis methodology for security evaluation and enhancement planning
    Antonietta Stango, Neeli R. Prasad, Dimitris M. Kyriazanos
    Proceedings 2009 3rd International Conference on Emerging Security Information Systems and Technologies Securware 2009, 2009

RECENT SCHOLAR PUBLICATIONS

  • Immediate TMS-EEG responses reveal motor cortex excitability
    A Stango, A Zazio, G Barchiesi, NS Bonfiglio, E Dognini, E Marcantoni, ...
    NeuroImage, 121666 , 2025
    2025
    Citations: 7
  • Impact of high-frequency sampling rate and stimulation intensity on early TMS artifacts: considerations for immediate TMS-EEG responses
    A Stango, A Zazio, G Barchiesi, NS Bonfiglio, M Bortoletto
    NeuroImage, 121526 , 2025
    2025
    Citations: 5
  • Unveiling Major Depressive Disorder Through TMS-EEG: From Traditional to Emerging Approaches
    A Stango, C Fracassi, A Cesareni, B Borroni, A Zazio
    Biomedicines 13 (10), 2474 , 2025
    2025
  • Stimulation parameters recruit distinct cortico-cortical pathways: insights from microstate analysis on TMS-evoked potentials
    D Lucarelli, G Guidali, D Sulcova, A Zazio, NS Bonfiglio, A Stango, ...
    Brain Topography 38 (3), 39 , 2025
    2025
    Citations: 20
  • High-frequency sampling rate reduces TMS-pulse artifact duration but not decay artifact: implications for immediate TMS-EEG responses
    A Stango, A Zazio, G Barchiesi, NS Bonfiglio, M Bortoletto
    bioRxiv, 2025.03. 05.641655 , 2025
    2025
    Citations: 1
  • Cortical excitability: insights from immediate TMS-EEG responses
    A Zazio, A Stango, G Barchiesi, E Dognini, E Marcantoni, M Bortoletto
    Brain Stimulation: Basic, Translational, and Clinical Research in … , 2025
    2025
  • Stimulation parameters shape effective connectivity pathways: insights from microstate analysis on TMS-evoked potentials
    D Lucarelli, G Guidali, D Sulcova, A Zazio, NS Bonfiglio, A Stango, ...
    bioRxiv, 2024.12. 18.629242 , 2024
    2024
  • Investigating visuo-tactile mirror properties in borderline personality disorder: A TMS-EEG study
    A Zazio, CM Lanza, A Stango, G Guidali, E Marcantoni, D Lucarelli, ...
    Clinical Neurophysiology 168, 139-152 , 2024
    2024
    Citations: 9
  • Effects of transcranial magnetic stimulation (TMS) current direction and pulse waveform on cortico‐cortical connectivity: A registered report TMS‐EEG study
    G Guidali, A Zazio, D Lucarelli, E Marcantoni, A Stango, G Barchiesi, ...
    European Journal of Neuroscience 58 (8), 3785-3809 , 2023
    2023
    Citations: 44
  • Rhythmic TMS as a feasible tool to uncover the oscillatory signatures of audiovisual integration
    R Bertaccini, G Ippolito, L Tarasi, A Zazio, A Stango, M Bortoletto, ...
    Biomedicines 11 (6), 1746 , 2023
    2023
    Citations: 7
  • Reproducibility of primary motor cortex cortico-cortical connectivity for changes in TMS current direction and pulse waveform
    M Bortoletto, E Marcantoni, D Lucarelli, A Zazio, A Stango, G Barchiesi, ...
    Brain Stimulation: Basic, Translational, and Clinical Research in … , 2023
    2023
  • The hand motor hotspot for seed-based functional connectivity of hand motor networks at rest
    L Bonzano, M Bortoletto, A Zazio, C Iester, A Stango, R Gasparotti, ...
    Frontiers in Neuroscience 16, 896746 , 2022
    2022
    Citations: 12
  • Increasing the robustness of active upper limb prostheses
    A Stango
    2017
  • Characterization of in-body to on-body wireless radio frequency link for upper limb prostheses
    A Stango, KY Yazdandoost, F Negro, D Farina
    PloS one 11 (10), e0164987 , 2016
    2016
    Citations: 27
  • Wireless radio channel for intramuscular electrode implants in the control of upper limb prostheses
    A Stango, KY Yazdandoost, D Farina
    2015 37th Annual International Conference of the IEEE Engineering in … , 2015
    2015
    Citations: 5
  • Spatial Correlation of High Density EMG Signals Provides Features Robust to Electrode Number and Shift in Pattern Recognition for Myocontrol
    A Stango, F Negro, D Farina
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on , 2014
    2014
    Citations: 239
  • Proposed embedded security framework for internet of things (iot)
    S Babar, A Stango, N Prasad, J Sen, R Prasad
    2011 2nd International conference on wireless communication, vehicular … , 2011
    2011
    Citations: 422
  • Chapter Security Concepts in IPv6 Based Aeronautical Communications
    T Chmielecki, T Chmielecki, R Fantacci, L Micciullo, P Pacyna, ...
    InTechOpen , 2011
    2011
  • Security Concepts in IPv6 Based Aeronautical Communications
    T Pecorella, R Fantacci, L Micciullo, A Stango, N Prasad, P Pacyna, ...
    Future Aeronautical Communications , 2011
    2011
  • Proposed security model and threat taxonomy for the Internet of Things (IoT)
    S Babar, P Mahalle, A Stango, N Prasad, R Prasad
    International Conference on Network Security and Applications, 420-429 , 2010
    2010
    Citations: 441

MOST CITED SCHOLAR PUBLICATIONS

  • Proposed security model and threat taxonomy for the Internet of Things (IoT)
    S Babar, P Mahalle, A Stango, N Prasad, R Prasad
    International Conference on Network Security and Applications, 420-429 , 2010
    2010
    Citations: 441
  • Proposed embedded security framework for internet of things (iot)
    S Babar, A Stango, N Prasad, J Sen, R Prasad
    2011 2nd International conference on wireless communication, vehicular … , 2011
    2011
    Citations: 422
  • Spatial Correlation of High Density EMG Signals Provides Features Robust to Electrode Number and Shift in Pattern Recognition for Myocontrol
    A Stango, F Negro, D Farina
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on , 2014
    2014
    Citations: 239
  • A threat analysis methodology for security evaluation and enhancement planning
    A Stango, NR Prasad, DM Kyriazanos
    2009 Third International Conference on Emerging Security Information … , 2009
    2009
    Citations: 74
  • Effects of transcranial magnetic stimulation (TMS) current direction and pulse waveform on cortico‐cortical connectivity: A registered report TMS‐EEG study
    G Guidali, A Zazio, D Lucarelli, E Marcantoni, A Stango, G Barchiesi, ...
    European Journal of Neuroscience 58 (8), 3785-3809 , 2023
    2023
    Citations: 44
  • Characterization of in-body to on-body wireless radio frequency link for upper limb prostheses
    A Stango, KY Yazdandoost, F Negro, D Farina
    PloS one 11 (10), e0164987 , 2016
    2016
    Citations: 27
  • Stimulation parameters recruit distinct cortico-cortical pathways: insights from microstate analysis on TMS-evoked potentials
    D Lucarelli, G Guidali, D Sulcova, A Zazio, NS Bonfiglio, A Stango, ...
    Brain Topography 38 (3), 39 , 2025
    2025
    Citations: 20
  • The hand motor hotspot for seed-based functional connectivity of hand motor networks at rest
    L Bonzano, M Bortoletto, A Zazio, C Iester, A Stango, R Gasparotti, ...
    Frontiers in Neuroscience 16, 896746 , 2022
    2022
    Citations: 12
  • Investigating visuo-tactile mirror properties in borderline personality disorder: A TMS-EEG study
    A Zazio, CM Lanza, A Stango, G Guidali, E Marcantoni, D Lucarelli, ...
    Clinical Neurophysiology 168, 139-152 , 2024
    2024
    Citations: 9
  • Immediate TMS-EEG responses reveal motor cortex excitability
    A Stango, A Zazio, G Barchiesi, NS Bonfiglio, E Dognini, E Marcantoni, ...
    NeuroImage, 121666 , 2025
    2025
    Citations: 7
  • Rhythmic TMS as a feasible tool to uncover the oscillatory signatures of audiovisual integration
    R Bertaccini, G Ippolito, L Tarasi, A Zazio, A Stango, M Bortoletto, ...
    Biomedicines 11 (6), 1746 , 2023
    2023
    Citations: 7
  • Recent Trends in Network Security and Applications: Third International Conference, CNSA 2010, Chennai, India, July 23-25, 2010
    S Babar, P Mahalle, A Stango, N Prasad, R Prasad
    Proceedings, 420-429 , 2010
    2010
    Citations: 7
  • Impact of high-frequency sampling rate and stimulation intensity on early TMS artifacts: considerations for immediate TMS-EEG responses
    A Stango, A Zazio, G Barchiesi, NS Bonfiglio, M Bortoletto
    NeuroImage, 121526 , 2025
    2025
    Citations: 5
  • Wireless radio channel for intramuscular electrode implants in the control of upper limb prostheses
    A Stango, KY Yazdandoost, D Farina
    2015 37th Annual International Conference of the IEEE Engineering in … , 2015
    2015
    Citations: 5
  • Policy-based approach for secure radio software download
    A Stango, NR Prasad
    Proceedings of SDR'09 Technical Conference and Product Exposition, 1-6 , 2009
    2009
    Citations: 3
  • An architecture for securing context in federation personal networks
    A Stango, DM Kyriazanos, NR Prasad
    Proceedings of the 10th International Symposium on Wireless Personal … , 2007
    2007
    Citations: 3
  • High-frequency sampling rate reduces TMS-pulse artifact duration but not decay artifact: implications for immediate TMS-EEG responses
    A Stango, A Zazio, G Barchiesi, NS Bonfiglio, M Bortoletto
    bioRxiv, 2025.03. 05.641655 , 2025
    2025
    Citations: 1
  • Unveiling Major Depressive Disorder Through TMS-EEG: From Traditional to Emerging Approaches
    A Stango, C Fracassi, A Cesareni, B Borroni, A Zazio
    Biomedicines 13 (10), 2474 , 2025
    2025
  • Cortical excitability: insights from immediate TMS-EEG responses
    A Zazio, A Stango, G Barchiesi, E Dognini, E Marcantoni, M Bortoletto
    Brain Stimulation: Basic, Translational, and Clinical Research in … , 2025
    2025
  • Stimulation parameters shape effective connectivity pathways: insights from microstate analysis on TMS-evoked potentials
    D Lucarelli, G Guidali, D Sulcova, A Zazio, NS Bonfiglio, A Stango, ...
    bioRxiv, 2024.12. 18.629242 , 2024
    2024