| Open Science challenges, benefits and tips in early career and beyond CPG Allen, DMA Mehler PloS Biology, 2019 | 670 | 2019 |
| Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist) T Ros, S Enriquez-Geppert, V Zotev, KD Young, G Wood, ... Brain 143 (6), 1674-1685, 2020 | 327 | 2020 |
| ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing L Schmaal, E Pozzi, T C. Ho, LS Van Velzen, IM Veer, N Opel, ... Translational psychiatry 10 (1), 172, 2020 | 179 | 2020 |
| Targeting the affective brain—a randomized controlled trial of real-time fMRI neurofeedback in patients with depression DMA Mehler, MO Sokunbi, I Habes, K Barawi, L Subramanian, M Range, ... Neuropsychopharmacology 43 (13), 2578-2585, 2018 | 146 | 2018 |
| Neurofeedback: One of today's techniques in psychiatry? M Arns, JM Batail, S Bioulac, M Congedo, C Daudet, D Drapier, T Fovet, ... Encephale 2 (43), 135-145, 2017 | 136 | 2017 |
| The potential of functional near-infrared spectroscopy-based neurofeedback—a systematic review and recommendations for best practice SH Kohl, DMA Mehler, M Lührs, RT Thibault, K Konrad, B Sorger Frontiers in neuroscience 14, 594, 2020 | 123 | 2020 |
| Evidence for adaptive cortical changes in swallowing in Parkinson’s disease S Suntrup, I Teismann, J Bejer, I Suttrup, M Winkels, D Mehler, C Pantev, ... Brain 136 (3), 726-738, 2013 | 121 | 2013 |
| Systematic misestimation of machine learning performance in neuroimaging studies of depression C Flint, M Cearns, N Opel, R Redlich, DMA Mehler, D Emden, NR Winter, ... Neuropsychopharmacology 46 (8), 1510-1517, 2021 | 105 | 2021 |
| Appreciating the significance of non-significant findings in psychology DMA Mehler, PA Edelsbrunner, K Matić Journal of European Psychology Students 10 (4), 1-7, 2019 | 82 | 2019 |
| 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 |
| The lure of misleading causal statements in functional connectivity research DMA Mehler, KP Kording arXiv preprint arXiv:1812.03363, 2018 | 65* | 2018 |
| May the power be with you: are there highly powered studies in neuroscience, and how can we get more of them? J Algermissen, DMA Mehler Journal of Neurophysiology 119 (6), 2114-2117, 2018 | 64 | 2018 |
| Beyond reporting statistical significance: Identifying informative effect sizes to improve scientific communication PHP Hanel, DMA Mehler Public understanding of science 28 (4), 468-485, 2019 | 63 | 2019 |
| The BOLD response in primary motor cortex and supplementary motor area during kinesthetic motor imagery based graded fMRI neurofeedback DMA Mehler, AN Williams, F Krause, M Lührs, RG Wise, DL Turner, ... Neuroimage 184, 36-44, 2019 | 55 | 2019 |
| Neurofeedback and the aging brain: a systematic review of training protocols for dementia and mild cognitive impairment L Trambaiolli, R Cassani, DMA Mehler, T Falk Frontiers in Aging Neuroscience, 2021 | 43 | 2021 |
| Temporal stability and state-dependence of retrospective self-reports of childhood maltreatment in healthy and depressed adults. J Goltermann, S Meinert, C Hülsmann, K Dohm, D Grotegerd, R Redlich, ... Psychological assessment 35 (1), 12, 2023 | 33* | 2023 |
| Cortical and subcortical neuroanatomical signatures of schizotypy in 3004 individuals assessed in a worldwide ENIGMA study M Kirschner, B Hodzic-Santor, M Antoniades, I Nenadic, T Kircher, A Krug, ... Molecular psychiatry 27 (2), 1167-1176, 2022 | 31 | 2022 |
| Effective self-management for early career researchers in the natural and life sciences NZ Bielczyk, A Ando, AP Badhwar, C Caldinelli, M Gao, A Haugg, ... Neuron 106 (2), 212-217, 2020 | 29 | 2020 |
| Graded fMRI neurofeedback training of motor imagery in middle cerebral artery stroke patients: a preregistered proof-of-concept study DMA Mehler, AN Williams, JR Whittaker, F Krause, M Lührs, S Kunas, ... Frontiers in human neuroscience 14, 226, 2020 | 28* | 2020 |
| Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures V Belov, T Erwin-Grabner, M Aghajani, A Aleman, AR Amod, Z Basgoze, ... Scientific reports 14 (1), 1084, 2024 | 20* | 2024 |
Michael LührsPost-Doc, Maastricht UniversityEmail verificata su maastrichtuniversity.nl
