| Year |
Citation |
Score |
| 2024 |
Peng X, Trambaiolli LR, Choi EY, Lehman JF, Linn G, Russ BE, Schroeder CE, Haber SN, Liu H. Cross-species striatal hubs: linking anatomy to resting-state connectivity. Neuroimage. 120866. PMID 39322095 DOI: 10.1016/j.neuroimage.2024.120866 |
0.564 |
|
| 2022 |
Trambaiolli LR, Cassani R, Biazoli CE, Cravo AM, Sato JR, Falk TH. Multimodal resting-state connectivity predicts affective neurofeedback performance. Frontiers in Human Neuroscience. 16: 977776. PMID 36158618 DOI: 10.3389/fnhum.2022.977776 |
0.717 |
|
| 2022 |
Trambaiolli LR, Peng X, Lehman JF, Linn G, Russ BE, Schroeder CE, Liu H, Haber SN. Anatomical and functional connectivity support the existence of a salience network node within the caudal ventrolateral prefrontal cortex. Elife. 11. PMID 35510840 DOI: 10.7554/eLife.76334 |
0.461 |
|
| 2021 |
Jezzini A, Bromberg-Martin ES, Trambaiolli LR, Haber SN, Monosov IE. A prefrontal network integrates preferences for advance information about uncertain rewards and punishments. Neuron. PMID 34118190 DOI: 10.1016/j.neuron.2021.05.013 |
0.416 |
|
| 2021 |
Moreno JG, Biazoli CE, Baptista AF, Trambaiolli LR. Closed-loop neurostimulation for affective symptoms and disorders: an overview. Biological Psychology. 108081. PMID 33757806 DOI: 10.1016/j.biopsycho.2021.108081 |
0.672 |
|
| 2021 |
Trambaiolli LR, Tossato J, Cravo AM, Biazoli CE, Sato JR. Subject-independent decoding of affective states using functional near-infrared spectroscopy. Plos One. 16: e0244840. PMID 33411817 DOI: 10.1371/journal.pone.0244840 |
0.721 |
|
| 2020 |
Trambaiolli LR, Biazoli CE. Resting-state global EEG connectivity predicts depression and anxiety severity. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 3707-3710. PMID 33018806 DOI: 10.1109/EMBC44109.2020.9176161 |
0.681 |
|
| 2018 |
Trambaiolli LR, Biazoli CE, Cravo AM, Falk TH, Sato JR. Functional near-infrared spectroscopy-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole-connectivity profiles. Neurophotonics. 5: 035009. PMID 30689679 DOI: 10.1117/1.Nph.5.3.035009 |
0.713 |
|
| 2018 |
Trambaiolli LR, Biazoli CE, Cravo AM, Sato JR. Predicting affective valence using cortical hemodynamic signals. Scientific Reports. 8: 5406. PMID 29599437 DOI: 10.1038/S41598-018-23747-Y |
0.711 |
|
| 2017 |
Trambaiolli LR, Spolaôr N, Lorena AC, Anghinah R, Sato JR. Feature selection before EEG classification supports the diagnosis of Alzheimer's disease. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology. 128: 2058-2067. PMID 28866471 DOI: 10.1016/J.Clinph.2017.06.251 |
0.519 |
|
| 2017 |
Trambaiolli LR, Biazoli CE, Balardin JB, Hoexter MQ, Sato JR. The relevance of feature selection methods to the classification of obsessive-compulsive disorder based on volumetric measures. Journal of Affective Disorders. 222: 49-56. PMID 28672179 DOI: 10.1016/J.Jad.2017.06.061 |
0.708 |
|
| 2017 |
Balardin JB, Zimeo Morais GA, Furucho RA, Trambaiolli L, Vanzella P, Biazoli C, Sato JR. Imaging Brain Function with Functional Near-Infrared Spectroscopy in Unconstrained Environments. Frontiers in Human Neuroscience. 11: 258. PMID 28567011 DOI: 10.3389/Fnhum.2017.00258 |
0.699 |
|
| 2017 |
Balardin JB, Morais GAZ, Furucho RA, Trambaiolli LR, Sato JR. Impact of communicative head movements on the quality of functional near-infrared spectroscopy signals: negligible effects for affirmative and negative gestures and consistent artifacts related to raising eyebrows. Journal of Biomedical Optics. 22: 46010. PMID 28451693 DOI: 10.1117/1.Jbo.22.4.046010 |
0.516 |
|
| 2014 |
Kanda PA, Trambaiolli LR, Lorena AC, Fraga FJ, Basile LF, Nitrini R, Anghinah R. Clinician's road map to wavelet EEG as an Alzheimer's disease biomarker. Clinical Eeg and Neuroscience. 45: 104-12. PMID 24131618 DOI: 10.1177/1550059413486272 |
0.335 |
|
| 2012 |
Falk TH, Fraga FJ, Trambaiolli L, Anghinah R. EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer’s disease Eurasip Journal On Advances in Signal Processing. 2012. DOI: 10.1186/1687-6180-2012-192 |
0.387 |
|
| 2011 |
Trambaiolli LR, Lorena AC, Fraga FJ, Kanda PA, Anghinah R, Nitrini R. Improving Alzheimer's disease diagnosis with machine learning techniques. Clinical Eeg and Neuroscience. 42: 160-5. PMID 21870467 DOI: 10.1177/155005941104200304 |
0.335 |
|
| 2011 |
Trambaiolli LR, Lorena AC, Fraga FJ, Kanda PA, Nitrini R, Anghinah R. Does EEG montage influence Alzheimer's disease electroclinic diagnosis? International Journal of Alzheimer's Disease. 2011: 761891. PMID 21629711 DOI: 10.4061/2011/761891 |
0.357 |
|
| Show low-probability matches. |