| Imaging brain function with functional near-infrared spectroscopy in unconstrained environments JB Balardin, GA Zimeo Morais, RA Furucho, L Trambaiolli, P Vanzella, ... Frontiers in human neuroscience 11, 258, 2017 | 213 | 2017 |
| Improving Alzheimer's disease diagnosis with machine learning techniques LR Trambaiolli, AC Lorena, FJ Fraga, PAM Kanda, R Anghinah, R Nitrini Clinical EEG and neuroscience 42 (3), 160-165, 2011 | 182 | 2011 |
| Feature selection before EEG classification supports the diagnosis of Alzheimer’s disease LR Trambaiolli, N Spolaôr, AC Lorena, R Anghinah, JR Sato Clinical Neurophysiology 128 (10), 2058-2067, 2017 | 85 | 2017 |
| EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer's disease TH Falk, FJ Fraga, L Trambaiolli, R Anghinah EURASIP Journal on Advances in Signal Processing, 192, 2012 | 81 | 2012 |
| Neurofeedback training in major depressive disorder: a systematic review of clinical efficacy, study quality and reporting practices LR Trambaiolli, SH Kohl, DEJ Linden, DMA Mehler Neuroscience & Biobehavioral Reviews 125, 33-56, 2021 | 76 | 2021 |
| A prefrontal network integrates preferences for advance information about uncertain rewards and punishments A Jezzini, ES Bromberg-Martin, LR Trambaiolli, SN Haber, IE Monosov Neuron 109 (14), 2339-2352. e5, 2021 | 60 | 2021 |
| EEG spectro-temporal modulation energy: a new feature for automated diagnosis of Alzheimer's disease LR Trambaiolli, TH Falk, FJ Fraga, R Anghinah, AC Lorena 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 45 | 2011 |
| Neurofeedback and the aging brain: a systematic review of training protocols for dementia and mild cognitive impairment LR Trambaiolli, R Cassani, DMA Mehler, TH Falk Frontiers in aging neuroscience 13, 682683, 2021 | 43 | 2021 |
| Anatomical and functional connectivity support the existence of a salience network node within the caudal ventrolateral prefrontal cortex LR Trambaiolli, X Peng, JF Lehman, G Linn, BE Russ, CE Schroeder, ... Elife 11, e76334, 2022 | 38 | 2022 |
| Clinician’s road map to wavelet EEG as an Alzheimer’s disease biomarker PAM Kanda, LR Trambaiolli, AC Lorena, FJ Fraga, LFI Basile, R Nitrini, ... Clinical EEG and neuroscience 45 (2), 104-112, 2014 | 34 | 2014 |
| Towards an EEG-based biomarker for Alzheimer's disease: Improving amplitude modulation analysis features FJ Fraga, TH Falk, LR Trambaiolli, EF Oliveira, WHL Pinaya, PAM Kanda, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 32 | 2013 |
| Toward next-generation primate neuroscience: a collaboration-based strategic plan for integrative neuroimaging M Milham, C Petkov, P Belin, SB Hamed, H Evrard, D Fair, A Fox, ... Neuron 110 (1), 16-20, 2022 | 31 | 2022 |
| Impact of communicative head movements on the quality of functional near-infrared spectroscopy signals: negligible effects for affirmative and negative gestures and consistent … JB Balardin, GAZ Morais, RA Furucho, LR Trambaiolli, JR Sato Journal of biomedical optics 22 (4), 046010-046010, 2017 | 30 | 2017 |
| Does EEG Montage Influence Alzheimer′ s Disease Electroclinic Diagnosis? LR Trambaiolli, AC Lorena, FJ Fraga, P Kanda, R Nitrini, R Anghinah International Journal of Alzheimer’s Disease 2011 (1), 761891, 2011 | 26 | 2011 |
| Functional near-infrared spectroscopy-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole-connectivity profiles LR Trambaiolli, CE Biazoli Jr, AM Cravo, TH Falk, JR Sato Neurophotonics 5 (3), 035009-035009, 2018 | 21 | 2018 |
| Resting-state global EEG connectivity predicts depression and anxiety severity LR Trambaiolli, CE Biazoli 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 18 | 2020 |
| The relevance of feature selection methods to the classification of obsessive-compulsive disorder based on volumetric measures LR Trambaiolli, CE Biazoli Jr, JB Balardin, MQ Hoexter, JR Sato Journal of affective disorders 222, 49-56, 2017 | 18 | 2017 |
| Closed-loop neurostimulation for affective symptoms and disorders: An overview JG Moreno, CE Biazoli Jr, AF Baptista, LR Trambaiolli Biological psychology 161, 108081, 2021 | 17 | 2021 |
| Predicting affective valence using cortical hemodynamic signals LR Trambaiolli, CE Biazoli Jr, AM Cravo, JR Sato Scientific reports 8 (1), 5406, 2018 | 17 | 2018 |
| Hybrid brain–computer interfaces for wheelchair control: a review of existing solutions, their advantages and open challenges LR Trambaiolli, TH Falk Smart wheelchairs and brain-computer interfaces, 229-256, 2018 | 11 | 2018 |
João Ricardo SatoUniversidade Federal do ABC, Brazil在 ufabc.edu.br 的电子邮件经过验证