Lucas R. Trambaiolli
Lucas R. Trambaiolli
McLean Hospital, Harvard Medical School
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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, 2011
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
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
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
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
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
Predicting affective valence using cortical hemodynamic signals
LR Trambaiolli, CE Biazoli Jr, AM Cravo, JR Sato
Scientific reports 8 (1), 5406, 2018
Closed-loop neurostimulation for affective symptoms and disorders: An overview
JG Moreno, CE Biazoli Jr, AF Baptista, LR Trambaiolli
Biological psychology 161, 108081, 2021
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
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
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