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ORCIDLucas Trambaiolli
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Journal Articles
- 2024
[j3]Xiaolong Peng
, Lucas R. Trambaiolli, Eun Young Choi, Julia F. Lehman, Gary Linn, Brian E. Russ, Charles E. Schroeder, Suzanne N. Haber, Hesheng Liu:
Cross-species striatal hubs: Linking anatomy to resting-state connectivity. NeuroImage 301: 120866 (2024)- 2014
- [j2]Tiago H. Falk, Francisco J. Fraga, Lucas Trambaiolli, Renato Anghinah:
Correction: EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer's disease. EURASIP J. Adv. Signal Process. 2014: 49 (2014) - 2012
- [j1]Tiago H. Falk, Francisco J. Fraga, Lucas Trambaiolli, Renato Anghinah:
EEG Amplitude Modulation Analysis for Semi-Automated Diagnosis of Alzheimer's Disease. EURASIP J. Adv. Signal Process. 2012: 192 (2012)
Conference and Workshop Papers
- 2021
- [c8]Lucas R. Trambaiolli, Claudinei E. Biazoli Jr., André Mascioli Cravo, João R. Sato:
Feedback congruence affects real and perceived performance of an affective neurofeedback task. NER 2021: 331-333 - 2020
- [c7]Lucas R. Trambaiolli, Raymundo Cassani, Tiago H. Falk:
EEG spectro-temporal amplitude modulation as a measurement of cortical hemodynamics: an EEG-fNIRS study. EMBC 2020: 3481-3484 - [c6]Lucas R. Trambaiolli, Claudinei E. Biazoli Jr.:
Resting-state global EEG connectivity predicts depression and anxiety severity. EMBC 2020: 3707-3710 - [c5]Lucas R. Trambaiolli, Philip J. A. Dean, Andre Mascioli Cravo, Annette Sterr, João R. Sato:
Current brain activity is a predictor of longitudinal motor imagery performance. SMC 2020: 2477-2482 - 2019
- [c4]Lucas R. Trambaiolli, Philip J. A. Dean, André Mascioli Cravo, Annette Sterr, João R. Sato:
On-task theta power is correlated to motor imagery performance. SMC 2019: 3937-3942 - 2018
- [c3]Lucas Trambaiolli, Raymundo Cassani, Claudinei Biazoli, Andre Mascioli Cravo, Joo Sato, Tiago H. Falk:
Resting-Awake EEG Amplitude Modulation can Predict Performance of an fNIRS-Based Neurofeedback Task. SMC 2018: 1128-1132 - 2013
- [c2]Francisco J. Fraga, Tiago H. Falk, Lucas Trambaiolli, Eliezyer Fermino de Oliveira, Walter H. L. Pinaya, Paulo A. M. Kanda, Renato Anghinah:
Towards an EEG-based biomarker for Alzheimer's disease: Improving amplitude modulation analysis features. ICASSP 2013: 1207-1211 - 2011
- [c1]Lucas Trambaiolli, Tiago H. Falk, Francisco J. Fraga, Renato Anghinah, Ana Carolina Lorena:
EEG spectro-temporal modulation energy: A new feature for automated diagnosis of Alzheimer's disease. EMBC 2011: 3828-3831
Coauthor Index
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