| Year |
Citation |
Score |
| 2024 |
Halchenko YO, Goncalves M, Ghosh S, Velasco P, Visconti di Oleggio Castello M, Salo T, Wodder JT, Hanke M, Sadil P, Gorgolewski KJ, Ioanas HI, Rorden C, Hendrickson TJ, Dayan M, Houlihan SD, et al. HeuDiConv - flexible DICOM conversion into structured directory layouts. Journal of Open Source Software. 9. PMID 39323511 DOI: 10.21105/joss.05839 |
0.728 |
|
| 2024 |
Poldrack RA, Markiewicz CJ, Appelhoff S, Ashar YK, Auer T, Baillet S, Bansal S, Beltrachini L, Benar CG, Bertazzoli G, Bhogawar S, Blair RW, Bortoletto M, Boudreau M, Brooks TL, ... ... Halchenko YO, et al. The past, present, and future of the brain imaging data structure (BIDS). Imaging Neuroscience (Cambridge, Mass.). 2: 1-19. PMID 39308505 DOI: 10.1162/imag_a_00103 |
0.474 |
|
| 2023 |
Feilong M, Nastase SA, Jiahui G, Halchenko YO, Gobbini MI, Haxby JV. The individualized neural tuning model: Precise and generalizable cartography of functional architecture in individual brains. Imaging Neuroscience (Cambridge, Mass.). 1. PMID 39449717 DOI: 10.1162/imag_a_00032 |
0.793 |
|
| 2023 |
Subash P, Gray A, Boswell M, Cohen SL, Garner R, Salehi S, Fisher C, Hobel S, Ghosh S, Halchenko Y, Dichter B, Poldrack RA, Markiewicz C, Hermes D, Delorme A, et al. A comparison of neuroelectrophysiology databases. Scientific Data. 10: 719. PMID 37857685 DOI: 10.1038/s41597-023-02614-0 |
0.683 |
|
| 2023 |
Poldrack RA, Markiewicz CJ, Appelhoff S, Ashar YK, Auer T, Baillet S, Bansal S, Beltrachini L, Benar CG, Bertazzoli G, Bhogawar S, Blair RW, Bortoletto M, Boudreau M, Brooks TL, ... ... Halchenko YO, et al. The Past, Present, and Future of the Brain Imaging Data Structure (BIDS). Arxiv. PMID 37744469 |
0.474 |
|
| 2023 |
Zhao C, Jarecka D, Covitz S, Chen Y, Eickhoff SB, Fair DA, Franco AR, Halchenko YO, Hendrickson TJ, Hoffstaedter F, Houghton A, Kiar G, Macdonald A, Mehta K, Milham MP, et al. A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps. Biorxiv : the Preprint Server For Biology. PMID 37645999 DOI: 10.1101/2023.08.16.552472 |
0.624 |
|
| 2023 |
Subash P, Gray A, Boswell M, Cohen SL, Garner R, Salehi S, Fisher C, Hobel S, Ghosh S, Halchenko Y, Dichter B, Poldrack RA, Markiewicz C, Hermes D, Delorme A, et al. A Comparison of Neuroelectrophysiology Databases. Arxiv. PMID 37426452 |
0.682 |
|
| 2023 |
Kiar G, Clucas J, Feczko E, Goncalves M, Jarecka D, Markiewicz CJ, Halchenko YO, Hermosillo R, Li X, Miranda-Dominguez O, Ghosh S, Poldrack RA, Satterthwaite TD, Milham MP, Fair D. Align with the NMIND consortium for better neuroimaging. Nature Human Behaviour. PMID 37386112 DOI: 10.1038/s41562-023-01647-0 |
0.433 |
|
| 2022 |
Ciric R, Thompson WH, Lorenz R, Goncalves M, MacNicol EE, Markiewicz CJ, Halchenko YO, Ghosh SS, Gorgolewski KJ, Poldrack RA, Esteban O. TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models. Nature Methods. PMID 36456786 DOI: 10.1038/s41592-022-01681-2 |
0.479 |
|
| 2022 |
Manelis A, Halchenko YO, Bonar L, Stiffler RS, Satz S, Miceli R, Ladouceur CD, Bebko G, Iyengar S, Swartz HA, Phillips ML. Working memory updating in individuals with bipolar and unipolar depression: fMRI study. Translational Psychiatry. 12: 441. PMID 36220840 DOI: 10.1038/s41398-022-02211-6 |
0.681 |
|
| 2022 |
Satz S, Halchenko YO, Ragozzino R, Lucero MM, Phillips ML, Swartz HA, Manelis A. The Relationship Between Default Mode and Dorsal Attention Networks Is Associated With Depressive Disorder Diagnosis and the Strength of Memory Representations Acquired Prior to the Resting State Scan. Frontiers in Human Neuroscience. 16: 749767. PMID 35264938 DOI: 10.3389/fnhum.2022.749767 |
0.655 |
|
| 2021 |
Halchenko YO, Meyer K, Poldrack B, Solanky DS, Wagner AS, Gors J, MacFarlane D, Pustina D, Sochat V, Ghosh SS, Mönch C, Markiewicz CJ, Waite L, Shlyakhter I, de la Vega A, et al. DataLad: distributed system for joint management of code, data, and their relationship. Journal of Open Source Software. 6. PMID 39469147 DOI: 10.21105/joss.03262 |
0.467 |
|
| 2021 |
Hanke M, Pestilli F, Wagner AS, Markiewicz CJ, Poline JB, Halchenko YO. In defense of decentralized research data management. Neuroforum. 27: 17-25. PMID 36504549 DOI: 10.1515/nf-2020-0037 |
0.585 |
|
| 2021 |
Baranger DAA, Halchenko YO, Satz S, Ragozzino R, Iyengar S, Swartz HA, Manelis A. Protocol for a machine learning algorithm predicting depressive disorders using the T1w/T2w ratio. Methodsx. 8: 101595. PMID 35004227 DOI: 10.1016/j.mex.2021.101595 |
0.651 |
|
| 2021 |
Markiewicz CJ, Gorgolewski KJ, Feingold F, Blair R, Halchenko YO, Miller E, Hardcastle N, Wexler J, Esteban O, Goncavles M, Jwa A, Poldrack R. The OpenNeuro resource for sharing of neuroscience data. Elife. 10. PMID 34658334 DOI: 10.7554/eLife.71774 |
0.493 |
|
| 2021 |
Nastase SA, Liu YF, Hillman H, Zadbood A, Hasenfratz L, Keshavarzian N, Chen J, Honey CJ, Yeshurun Y, Regev M, Nguyen M, Chang CHC, Baldassano C, Lositsky O, Simony E, ... ... Halchenko YO, et al. The "Narratives" fMRI dataset for evaluating models of naturalistic language comprehension. Scientific Data. 8: 250. PMID 34584100 DOI: 10.1038/s41597-021-01033-3 |
0.781 |
|
| 2021 |
Baranger DAA, Halchenko YO, Satz S, Ragozzino R, Iyengar S, Swartz HA, Manelis A. Aberrant levels of cortical myelin distinguish individuals with depressive disorders from healthy controls. Neuroimage. Clinical. 32: 102790. PMID 34455188 DOI: 10.1016/j.nicl.2021.102790 |
0.673 |
|
| 2021 |
Manelis A, Soehner A, Halchenko YO, Satz S, Ragozzino R, Lucero M, Swartz HA, Phillips ML, Versace A. White matter abnormalities in adults with bipolar disorder type-II and unipolar depression. Scientific Reports. 11: 7541. PMID 33824408 DOI: 10.1038/s41598-021-87069-2 |
0.634 |
|
| 2021 |
Bannier E, Barker G, Borghesani V, Broeckx N, Clement P, Emblem KE, Ghosh S, Glerean E, Gorgolewski KJ, Havu M, Halchenko YO, Herholz P, Hespel A, Heunis S, Hu Y, et al. The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data. Human Brain Mapping. PMID 33522661 DOI: 10.1002/hbm.25351 |
0.776 |
|
| 2020 |
Cheng CP, Halchenko YO. A new virtue of phantom MRI data: explaining variance in human participant data. F1000research. 9: 1131. PMID 33447378 DOI: 10.12688/F1000Research.24544.1 |
0.323 |
|
| 2020 |
Esteban O, Ciric R, Finc K, Blair RW, Markiewicz CJ, Moodie CA, Kent JD, Goncalves M, DuPre E, Gomez DEP, Ye Z, Salo T, Valabregue R, Amlien IK, Liem F, ... ... Halchenko YO, et al. Analysis of task-based functional MRI data preprocessed with fMRIPrep. Nature Protocols. PMID 32514178 DOI: 10.1038/S41596-020-0327-3 |
0.585 |
|
| 2019 |
Yarkoni T, Markiewicz CJ, de la Vega A, Gorgolewski KJ, Salo T, Halchenko YO, McNamara Q, DeStasio K, Poline JB, Petrov D, Hayot-Sasson V, Nielson DM, Carlin J, Kiar G, Whitaker K, et al. PyBIDS: Python tools for BIDS datasets. Journal of Open Source Software. 4. PMID 32775955 DOI: 10.21105/joss.01294 |
0.741 |
|
| 2019 |
Kennedy DN, Abraham SA, Bates JF, Crowley A, Ghosh S, Gillespie T, Goncalves M, Grethe JS, Halchenko YO, Hanke M, Haselgrove C, Hodge SM, Jarecka D, Kaczmarzyk J, Keator DB, et al. Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging. Frontiers in Neuroinformatics. 13: 1. PMID 30792636 DOI: 10.3389/Fninf.2019.00001 |
0.636 |
|
| 2019 |
Yarkoni T, Markiewicz C, de la Vega A, Gorgolewski K, Salo T, Halchenko Y, McNamara Q, DeStasio K, Poline J, Petrov D, Hayot-Sasson V, Nielson D, Carlin J, Kiar G, Whitaker K, et al. PyBIDS: Python tools for BIDS datasets Journal of Open Source Software. 4: 1294. DOI: 10.21105/joss.01294 |
0.431 |
|
| 2018 |
Nastase SA, Halchenko YO, Connolly AC, Gobbini MI, Haxby JV. Neural Responses to Naturalistic Clips of Behaving Animals in Two Different Task Contexts. Frontiers in Neuroscience. 12: 316. PMID 29867327 DOI: 10.3389/Fnins.2018.00316 |
0.765 |
|
| 2018 |
Hanke M, Meyer KA, Castello MVdO, Poldrack B, Halchenko YO. YODA: YODA's Organigram on Data Analysis F1000research. 7. DOI: 10.7490/F1000Research.1116363.1 |
0.598 |
|
| 2017 |
Visconti di Oleggio Castello M, Halchenko YO, Guntupalli JS, Gors JD, Gobbini MI. The neural representation of personally familiar and unfamiliar faces in the distributed system for face perception. Scientific Reports. 7: 12237. PMID 28947835 DOI: 10.1038/S41598-017-12559-1 |
0.763 |
|
| 2017 |
Ghosh SS, Poline JB, Keator DB, Halchenko YO, Thomas AG, Kessler DA, Kennedy DN. A very simple, re-executable neuroimaging publication. F1000research. 6: 124. PMID 28781753 DOI: 10.12688/F1000Research.10783.2 |
0.323 |
|
| 2017 |
Nastase SA, Connolly AC, Oosterhof NN, Halchenko YO, Guntupalli JS, Visconti di Oleggio Castello M, Gors J, Gobbini MI, Haxby JV. Attention Selectively Reshapes the Geometry of Distributed Semantic Representation. Cerebral Cortex (New York, N.Y. : 1991). 1-15. PMID 28591837 DOI: 10.1093/Cercor/Bhx138 |
0.745 |
|
| 2017 |
Eglen SJ, Marwick B, Halchenko YO, Hanke M, Sufi S, Gleeson P, Silver RA, Davison AP, Lanyon L, Abrams M, Wachtler T, Willshaw DJ, Pouzat C, Poline JB. Toward standard practices for sharing computer code and programs in neuroscience. Nature Neuroscience. 20: 770-773. PMID 28542156 DOI: 10.1038/Nn.4550 |
0.616 |
|
| 2016 |
Vogelstein JT, Mensh B, Häusser M, Spruston N, Evans AC, Kording K, Amunts K, Ebell C, Muller J, Telefont M, Hill S, Koushika SP, Calì C, Valdés-Sosa PA, Littlewood PB, ... ... Halchenko YO, et al. To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery Neuron. 92: 622-627. PMID 27810005 DOI: 10.1016/J.Neuron.2016.10.033 |
0.33 |
|
| 2016 |
Gorgolewski KJ, Auer T, Calhoun VD, Craddock RC, Das S, Duff EP, Flandin G, Ghosh SS, Glatard T, Halchenko YO, Handwerker DA, Hanke M, Keator D, Li X, Michael Z, et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific Data. 3: 160044. PMID 27326542 DOI: 10.1038/Sdata.2016.44 |
0.703 |
|
| 2016 |
Connolly AC, Sha L, Guntupalli JS, Oosterhof N, Halchenko YO, Nastase SA, di Oleggio Castello MV, Abdi H, Jobst BC, Gobbini MI, Haxby JV. How the Human Brain Represents Perceived Dangerousness or "Predacity" of Animals. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 5373-84. PMID 27170133 DOI: 10.1523/Jneurosci.3395-15.2016 |
0.79 |
|
| 2016 |
Guntupalli JS, Hanke M, Halchenko YO, Connolly AC, Ramadge PJ, Haxby JV. A Model of Representational Spaces in Human Cortex. Cerebral Cortex (New York, N.Y. : 1991). PMID 26980615 DOI: 10.1093/Cercor/Bhw068 |
0.794 |
|
| 2016 |
Nastase SA, Guntupalli JS, Haxby JV, Halchenko YO. Localizing functional regions of interest based on responses to dynamic naturalistic stimuli F1000research. 5. DOI: 10.7490/F1000Research.1113507.1 |
0.771 |
|
| 2015 |
Halchenko YO, Hanke M. Four aspects to make science open "by design" and not as an after-thought. Gigascience. 4: 31. PMID 26191404 DOI: 10.1186/S13742-015-0072-7 |
0.633 |
|
| 2015 |
Hanke M, Halchenko YO. A communication hub for a decentralized collaboration on studying real-life cognition. F1000research. 4: 62. PMID 26097689 DOI: 10.12688/F1000Research.6229.1 |
0.639 |
|
| 2015 |
Sha L, Haxby JV, Abdi H, Guntupalli JS, Oosterhof NN, Halchenko YO, Connolly AC. The animacy continuum in the human ventral vision pathway. Journal of Cognitive Neuroscience. 27: 665-78. PMID 25269114 DOI: 10.1162/Jocn_A_00733 |
0.797 |
|
| 2015 |
Hanke M, Halchenko YO. A communication hub for a decentralized collaboration on studying real-life cognition F1000research. 4. DOI: 10.12688/f1000research.6229.1 |
0.547 |
|
| 2014 |
Nastase S, Connolly A, Oosterhof N, Halchenko Y, Guntupalli S, Gors J, Gobbini I, Haxby J. Attention locally modulates the discriminability of high-level, task-relevant representations F1000research. 5. DOI: 10.7490/F1000Research.1096090.1 |
0.762 |
|
| 2014 |
Nastase SA, Connolly AC, Oosterhof NN, Halchenko YO, Gors J, Gobbini MI, Haxby JV. Attentional allocation locally warps representational space Journal of Vision. 14: 626-626. DOI: 10.1167/14.10.626 |
0.757 |
|
| 2013 |
Gobbini MI, Gors JD, Halchenko YO, Rogers C, Guntupalli JS, Hughes H, Cipolli C. Prioritized Detection of Personally Familiar Faces. Plos One. 8: e66620. PMID 23805248 DOI: 10.1371/Journal.Pone.0066620 |
0.691 |
|
| 2013 |
Kohler PJ, Fogelson SV, Reavis EA, Meng M, Guntupalli JS, Hanke M, Halchenko YO, Connolly AC, Haxby JV, Tse PU. Pattern classification precedes region-average hemodynamic response in early visual cortex. Neuroimage. 78: 249-60. PMID 23587693 DOI: 10.1016/J.Neuroimage.2013.04.019 |
0.786 |
|
| 2012 |
Halchenko YO, Hanke M. Open is Not Enough. Let's Take the Next Step: An Integrated, Community-Driven Computing Platform for Neuroscience. Frontiers in Neuroinformatics. 6: 22. PMID 23055966 DOI: 10.3389/Fninf.2012.00022 |
0.633 |
|
| 2012 |
Poline JB, Breeze JL, Ghosh S, Gorgolewski K, Halchenko YO, Hanke M, Haselgrove C, Helmer KG, Keator DB, Marcus DS, Poldrack RA, Schwartz Y, Ashburner J, Kennedy DN. Data sharing in neuroimaging research. Frontiers in Neuroinformatics. 6: 9. PMID 22493576 DOI: 10.3389/Fninf.2012.00009 |
0.72 |
|
| 2012 |
Connolly AC, Guntupalli JS, Gors J, Hanke M, Halchenko YO, Wu YC, Abdi H, Haxby JV. The representation of biological classes in the human brain. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 2608-18. PMID 22357845 DOI: 10.1523/Jneurosci.5547-11.2012 |
0.802 |
|
| 2011 |
Haxby JV, Guntupalli JS, Connolly AC, Halchenko YO, Conroy BR, Gobbini MI, Hanke M, Ramadge PJ. A common, high-dimensional model of the representational space in human ventral temporal cortex. Neuron. 72: 404-16. PMID 22017997 DOI: 10.1016/J.Neuron.2011.08.026 |
0.787 |
|
| 2011 |
Gorgolewski K, Burns CD, Madison C, Clark D, Halchenko YO, Waskom ML, Ghosh SS. Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python. Frontiers in Neuroinformatics. 5: 13. PMID 21897815 DOI: 10.3389/Fninf.2011.00013 |
0.345 |
|
| 2011 |
Hanke M, Halchenko YO. Neuroscience Runs on GNU/Linux. Frontiers in Neuroinformatics. 5: 8. PMID 21779243 DOI: 10.3389/Fninf.2011.00008 |
0.612 |
|
| 2011 |
Fogelson SV, Kohler PJ, Hanke M, Halchenko YO, Haxby JV, Granger RH, Tse PU. STMVPA: Spatiotemporal multivariate pattern analysis permits fine-grained visual categorization Journal of Vision. 11: 814-814. DOI: 10.1167/11.11.814 |
0.618 |
|
| 2010 |
Hanke M, Halchenko YO, Haxby JV, Pollmann S. Statistical learning analysis in neuroscience: aiming for transparency. Frontiers in Neuroscience. 4: 38. PMID 20582270 DOI: 10.3389/Neuro.01.007.2010 |
0.71 |
|
| 2010 |
Ramsey JD, Hanson SJ, Hanson C, Halchenko YO, Poldrack RA, Glymour C. Six problems for causal inference from fMRI. Neuroimage. 49: 1545-58. PMID 19747552 DOI: 10.1016/J.Neuroimage.2009.08.065 |
0.683 |
|
| 2010 |
Poldrack RA, Halchenko YO, Hanson SJ. Erratum to: Decoding the large-scale structure of brain function by classifying mental states across individuals, (Psychological science, (2009), 20, 11 (1364-1372), 10.1111/j.1467-9280.2009.02460) Psychological Science. 21. DOI: 10.1177/0956797610373375 |
0.663 |
|
| 2009 |
Poldrack RA, Halchenko YO, Hanson SJ. Decoding the large-scale structure of brain function by classifying mental States across individuals. Psychological Science. 20: 1364-72. PMID 19883493 DOI: 10.1111/J.1467-9280.2009.02460.X |
0.692 |
|
| 2009 |
Hanke M, Halchenko YO, Sederberg PB, Olivetti E, Fründ I, Rieger JW, Herrmann CS, Haxby JV, Hanson SJ, Pollmann S. PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data. Frontiers in Neuroinformatics. 3: 3. PMID 19212459 DOI: 10.3389/Neuro.11.003.2009 |
0.785 |
|
| 2009 |
Hanke M, Halchenko YO, Sederberg PB, Hanson SJ, Haxby JV, Pollmann S. PyMVPA: A python toolbox for multivariate pattern analysis of fMRI data. Neuroinformatics. 7: 37-53. PMID 19184561 DOI: 10.1007/S12021-008-9041-Y |
0.798 |
|
| 2008 |
Hanson SJ, Halchenko YO. Brain reading using full brain support vector machines for object recognition: there is no "face" identification area. Neural Computation. 20: 486-503. PMID 18047411 DOI: 10.1162/Neco.2007.09-06-340 |
0.632 |
|
| 2007 |
Hanson SJ, Hanson C, Halchenko Y, Matsuka T, Zaimi A. Bottom-up and top-down brain functional connectivity underlying comprehension of everyday visual action. Brain Structure & Function. 212: 231-44. PMID 17968590 DOI: 10.1007/S00429-007-0160-2 |
0.799 |
|
| 2007 |
Hanson SJ, Rebecchi R, Hanson C, Halchenko YO. Dense mode clustering in brain maps. Magnetic Resonance Imaging. 25: 1249-62. PMID 17459639 DOI: 10.1016/J.Mri.2007.03.013 |
0.563 |
|
| Show low-probability matches. |
