The Most cited articles since 2022, extracted from SCOPUS for Elsevier, extracted from Scopus for Elsevier.
- Safety and recommendations for TMS use in healthy subjects and patient populations, with updates on training, ethical and regulatory issues: Expert Guidelines
Rossi S., Antal A., Bestmann S., Bikson M., Brewer C., Brockmöller J., Carpenter L.L., Cincotta M., Chen R., Daskalakis J.D., Di Lazzaro V., Fox M.D., George M.S., Gilbert D., Kimiskidis V.K., Koch G., Ilmoniemi R.J., Pascal Lefaucheur J., Leocani L., Lisanby S.H., Miniussi C., Padberg F., Pascual-Leone A., Paulus W., Peterchev A.V., Quartarone A., Rotenberg A., Rothwell J., Rossini P.M., Santarnecchi E., Shafi M.M., Siebner H.R., Ugawa Y., Wassermann E.M., Zangen A., Ziemann U., Hallett M. - Critical illness polyneuropathy, myopathy and neuronal biomarkers in COVID-19 patients: A prospective study
Frithiof R., Rostami E., Kumlien E., Virhammar J., Fällmar D., Hultström M., Lipcsey M., Ashton N., Blennow K., Zetterberg H., Punga A.R. - Diagnostic contribution and therapeutic perspectives of transcranial magnetic stimulation in dementia
Di Lazzaro V., Bella R., Benussi A., Bologna M., Borroni B., Capone F., Chen K.-H.S., Chen R., Chistyakov A.V., Classen J., Kiernan M.C., Koch G., Lanza G., Lefaucheur J.-P., Matsumoto H., Nguyen J.-P., Orth M., Pascual-Leone A., Rektorova I., Simko P., Taylor J.-P., - Electrodiagnostic assessment of the autonomic nervous system: A consensus statement endorsed by the American Autonomic Society, American Academy of Neurology, and the International Federation of Clinical Neurophysiology
Cheshire W.P., Freeman R., Gibbons C.H., Cortelli P., Wenning G.K., Hilz M.J., Spies J.M., Lipp A., Sandroni P., Wada N., Mano A., Ah Kim H., Kimpinski K., Iodice V., Idiáquez J., Thaisetthawatkul P., Coon E.A., Low P.A., Singer W. - Myopathic changes in patients with long-term fatigue after COVID-19
Agergaard J., Leth S., Pedersen T.H., Harbo T., Blicher J.U., Karlsson P., Østergaard L., Andersen H., Tankisi H. - Intracortical GABAergic dysfunction in patients with fatigue and dysexecutive syndrome after COVID-19
Versace V., Sebastianelli L., Ferrazzoli D., Romanello R., Ortelli P., Saltuari L., D'Acunto A., Porrazzini F., Ajello V., Oliviero A., Kofler M., Koch G. - Automated seizure detection using wearable devices: A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology
Beniczky S., Wiebe S., Jeppesen J., Tatum W.O., Brazdil M., Wang Y., Herman S.T., Ryvlin P. - Transcranial magnetic stimulation of the brain: What is stimulated? – A consensus and critical position paper
Siebner H.R., Funke K., Aberra A.S., Antal A., Bestmann S., Chen R., Classen J., Davare M., Di Lazzaro V., Fox P.T., Hallett M., Karabanov A.N., Kesselheim J., Beck M.M., Koch G., Liebetanz D., Meunier S., Miniussi C., Paulus W., Peterchev A.V., Popa T., Ridding M.C., - Non-invasive transcranial ultrasound stimulation for neuromodulation
Darmani G., Bergmann T.O., Butts Pauly K., Caskey C.F., de Lecea L., Fomenko A., Fouragnan E., Legon W., Murphy K.R., Nandi T., Phipps M.A., Pinton G., Ramezanpour H., Sallet J., Yaakub S.N., Yoo S.S., Chen R. - Measuring the effects of first antiepileptic medication in Temporal Lobe Epilepsy: Predictive value of quantitative-EEG analysis
Ricci L., Assenza G., Pulitano P., Simonelli V., Vollero L., Lanzone J., Mecarelli O., Di Lazzaro V., Tombini M. - Machine learning for detection of interictal epileptiform discharges
da Silva Lourenço C., Tjepkema-Cloostermans M.C., van Putten M.J.A.M. - Stacked autoencoders as new models for an accurate Alzheimer's disease classification support using resting-state EEG and MRI measurements
Ferri R., Babiloni C., Karami V., Triggiani A.I., Carducci F., Noce G., Lizio R., Pascarelli M.T., Soricelli A., Amenta F., Bozzao A., Romano A., Giubilei F., Del Percio C., Stocchi F., Frisoni G.B., Nobili F., Patanè L., Arena P. - Subclinical epileptiform activity accelerates the progression of Alzheimer's disease: A long-term EEG study
Horvath A.A., Papp A., Zsuffa J., Szucs A., Luckl J., Radai F., Nagy F., Hidasi Z., Csukly G., Barcs G., Kamondi A. - Machine learning for automated EEG-based biomarkers of cognitive impairment during Deep Brain Stimulation screening in patients with Parkinson's Disease
Geraedts V.J., Koch M., Contarino M.F., Middelkoop H.A.M., Wang H., van Hilten J.J., Bäck T.H.W., Tannemaat M.R.
Van Hoornweder S., Vanderzande L., Bloemers E., Verstraelen S., Depestele S., Cuypers K., Dun K.V., Strouwen C., Meesen R.