collection curated by joecohen https://academictorrents.com/collection/fmri @article{, title= {fMRI Visual object recognition}, journal= {}, author= {Haxby, J. and Gobbini, M. and Furey, M. and Ishai, A. and Schouten, J. and Pietrini, P.}, year= {2011}, url= {https://openfmri.org/dataset/ds000105}, license= {PPDL}, abstract= {Submitted by admin on Wed, 10/12/2011 - 17:36 Neural responses, as reflected in hemodynamic changes, were measured in six subjects (five female and one male) with gradient echo echoplanar imaging on a GE 3T scanner (General Electric, Milwaukee, WI) [repetition time (TR) = 2500 ms, 40 3.5-mm-thick sagittal images, field of view (FOV) = 24 cm, echo time (TE) = 30 ms, flip angle = 90] while they performed a one-back repetition detection task. High-resolution T1-weighted spoiled gradient recall (SPGR) images were obtained for each subject to provide detailed anatomy (124 1.2-mm-thick sagittal images, FOV = 24 cm). Stimuli were gray-scale images of faces, houses, cats, bottles, scissors, shoes, chairs, and nonsense patterns. The categories were chosen so that all stimuli from a given category would have the same base level name. The specific categories were selected to allow comparison with our previous studies (faces, houses, chairs, animals, and tools) or ongoing studies (shoes and bottles). Control nonsense patterns were phase-scrambled images of the intact objects. Twelve time series were obtained in each subject. Each time series began and ended with 12 s of rest and contained eight stimulus blocks of 24-s duration, one for each category, separated by 12-s intervals of rest. Stimuli were presented for 500 ms with an interstimulus interval of 1500 ms. Repetitions of meaningful stimuli were pictures of the same face or object photographed from different angles. Stimuli for each meaningful category were four images each of 12 different exemplars. Note that the original version of the raw data that was posted prior to 10/29/2012 had one extra timepoint incorrectly added to the end of runs 1-11 for each subject. The currently posted version has been corrected. Tasks and Conditions: 001 object one-back task 001 House 002 Scrambled 003 Cat 004 Shoe 005 Bottle 006 Scissors 007 Chair 008 Face HideInvestigator Info Investigators: Haxby, J. Gobbini, M. Furey, M. Ishai, A. Schouten, J. Pietrini, P. HidePublications Pubmed Link: Distributed and overlapping representations of faces and objects in ventral temporal cortex Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001). revisited: is there a ?face? area? Partially distributed representations of objects and faces in ventral temporal cortex HideStudy Metadata Sample Size: 6 Scanner Type: GE 3T HideSharing License: PPDL Accession Number: ds000105}, keywords= {}, terms= {} } https://academictorrents.com/download/506d160d9f09dd1612f85179f18ea698c04b1f53 @article{, title = {fMRI Word and object processing}, journal = {}, author = {Duncan, K. and Pattamadilok, C. and Knierim, I. and Devlin, J.}, year = {2011}, url = {https://openfmri.org/dataset/ds000107}, license = {PPDL}, abstract = {Submitted by admin on Fri, 11/04/2011 - 16:02 Subjects performed a visual one-back with four categories of items: written words, objects, scrambled objects and consonant letter strings. Tasks and Conditions: 001 word one-back task 004 Consonant strings 002 object one-back task 002 Objects 003 Scrambled HideInvestigator Info Investigators: Duncan, K. Pattamadilok, C. Knierim, I. Devlin, J. HidePublications Pubmed Link: Consistency and variability in functional localisers HideStudy Metadata Sample Size: 49 Scanner Type: Siemens 1.5T HideSharing License: PPDL Accession Number: ds000107} } https://academictorrents.com/download/0e7413de7f06a00a36433bfd7c0ecf55d74083b4 @article{, title = {fMRI Living-nonliving decision with plain or mirror-reversed text}, journal = {}, author = {K Jimura and E Stover and F Cazalis and R Poldrack}, year = {2011}, url = {https://openfmri.org/dataset/ds000006a}, license = {}, abstract = {Living-nonliving decision with plain or mirror-reversed text Submitted by picchetti on Sun, 12/23/2012 - 19:16 Subjects performed a living-nonliving decision on items presented in either plain or mirror-reversed text. ds000006A represents the first session and ds000006B represents the second session. Tasks and Conditions: 001 living/nonliving judgment on mirror-reversed and plain-text words 001 Mirror-Switch 002 Mirror-Repeat 003 Plain-Switch 004 Plain-Repeat HideInvestigator Info Investigators: K Jimura E Stover F Cazalis R Poldrack HideStudy Metadata Sample Size: 14 Scanner Type: Siemens Allegra 3T HideSharing License: PPDL Accession Number: ds000006} } https://academictorrents.com/download/8ace9bab5c6009d3423d0d5d551381a4db0e092b @article{, title = {fMRI Mixed-gambles task}, journal = {}, author = {Tom S.M. and Fox C.R. and Trepel C. and Poldrack R.A.}, year = {2011}, url = {https://openfmri.org/dataset/ds000005}, license = {PPDL}, abstract = {Submitted by picchetti on Thu, 10/06/2011 - 12:38 Subjects were presented with mixed (gain/loss) gambles, and decided whether they would accept each gamble. No outcomes of these gambles were presented during scanning, but after the scan three gambles were selected at random and played for real money. Tasks and Conditions: 001 mixed gambles task 002 parametric gain 003 parametric loss 004 distance from indifference HideInvestigator Info Investigators: Tom S.M. Fox C.R. Trepel C. Poldrack R.A. HidePublications Pubmed Link: The neural basis of loss aversion in decision making under risk HideStudy Metadata Sample Size: 16 Scanner Type: 3T Siemens AG (Erlangen, Germany) Allegra MRI scanner HideSharing License: PPDL Accession Number: ds000005} } https://academictorrents.com/download/dbb05860807d62039b88c2d425797179fdeb12df @article{, title = {fMRI Rhyme judgment}, journal = {}, author = {Xue, G. and Poldrack, R.A.}, year = {2011}, url = {https://openfmri.org/dataset/ds000003}, license = {PPDL}, abstract = {Submitted by picchetti on Thu, 10/06/2011 - 11:48 Subjects were presented with pairs of either words or pseudowords, and made rhyming judgments for each pair. Tasks and Conditions: 001 rhyme verification task 001 Word 002 Pseudoword HideInvestigator Info Investigators: Xue, G. Poldrack, R.A. HideStudy Metadata Sample Size: 13 Scanner Type: TBA HideSharing License: PPDL Accession Number: ds000003} } https://academictorrents.com/download/dd259c92c9b28fb7df3d041c9e4a97e20eb0a608 @article{, title = {fMRI Classification learning}, journal = {}, author = {Aron, A.R. and Poldrack, R.A. and Gluck, M.A.}, year = {2011}, url = {https://openfmri.org/dataset/ds000002}, license = {ODC Public Domain Dedication and Licence (PDDL)}, abstract = {Submitted by picchetti on Thu, 10/06/2011 - 11:36 Subjects performed a classification learning task with two different problems (across different runs), using a "weather prediction" task. In one (probabilistic) problem, the labels were probabilistically related to each set of cards. In another (deterministic) problem, the labels were deterministically related to each set of cards. After learning, subjects participated in an event-related block of judgment only (no feedback) in which they were presented with stimuli from both of the training problems. Tasks and Conditions: 001 Probabilistic classification task 001 Probabilistic classification trials 002 feedback 002 deterministic classification 001 Deterministic classification trials 002 feedback 003 classification probe without feedback 001 Classification trials: Probabilistic 002 Classification trials: Deterministic Investigator Info Investigators: Aron, A.R. Poldrack, R.A. Gluck, M.A. Acknowledgements and Funding: Whitehall Foundation and NSF grant BCS-0223843 to R.A.P. The authors thank Allan J. Tobin and Robert Bilder for helpful discussion and encouragement, Sabrina Tom for scanning and Catherine Myers and Daphna Shohamy for help with task design. Publications Pubmed Link: Long-term test-retest reliability of fMRI Digital Document: Methods.pdf Study Metadata Sample Size: 17 Scanner Type: 3 T Siemens Allegra MRI scanner Sharing License: PPDL Accession Number: ds000002} } https://academictorrents.com/download/7afea3eb89ed37afb45064980b4c532b024ea96e @article{, title = {fMRI Balloon Analog Risk-taking Task}, journal = {}, author = {Tom Schonberg and Christopher Trepel and Craig Fox and Russell A. Poldrack}, year = {}, url = {https://openfmri.org/dataset/ds000001}, license = {ODC Public Domain Dedication and Licence (PDDL)}, abstract = {Submitted by admin on Tue, 07/10/2012 - 16:08 Subjects perform the Balloon Analog Risk-taking Task in an event-related design. Note: The original highres image for sub004 was not available, so the skull-stripped version is included as highres001.nii.gz Tasks and Conditions: 001 Balloon Analogue Risk Task (BART) 001 pumps_fixed 002 pumps_demean 003 pumps_fixed_real_RT 004 cash_fixed 005 cash_demean 006 cash_fixed_real_RT 007 explode_fixed 008 explode_demean 009 control_pumps_fixed 010 control_pumps_demean 011 control_pumps_fixed_real_RT Investigator Info Investigators: Tom Schonberg Christopher Trepel Craig Fox Russell A. Poldrack Acknowledgements and Funding: This work was supported by NSF DMI-0433693 (R. Poldrack and C. Fox, principal investigators, PIs). We would like to thank Elena Stover for assistance with data collection and for helpful comments on an earlier version of this manuscript. Publications Pubmed Link: Decreasing ventromedial prefrontal cortex activity during sequential risk-taking: an FMRI investigation of the balloon analog risk task. Digital Document: fnins-06-00080.pdf Study Metadata Sample Size: 16 Scanner Type: Siemens Allegra 3T Sharing License: PPDL Accession Number: ds000001} } https://academictorrents.com/download/30a8653b160b2c4f8d7e42d2070ebb1438673b2c @article{, title= {A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures}, journal= {}, author= {Krzysztof J. Gorgolewski and Natacha Mendes and Domenica Wilfling and Elisabeth Wladimirow and Claudine J. Gauthier and Tyler Bonnen and Robert Trampel and Pierre-Louis Bazin and Roberto Cozatl and Florence J. M. Ruby and Jonathan Smallwood and Daniel S. Margulies}, year= {2014}, url= {}, license= {CC0}, abstract= {Here we present a test-retest dataset of functional magnetic resonance imaging (fMRI) data acquired at rest. 22 participants were scanned during two sessions spaced one week apart. Each session includes two 1.5 mm isotropic whole-brain scans and one 0.75 mm isotropic scan of the prefrontal cortex, giving a total of six timepoints. Additionally, the dataset includes measures of mood, sustained attention, blood pressure, respiration, pulse, and the content of self-generated thoughts (mind wandering). This data enables the investigation of sources of both intra- and inter-session variability not only limited to physiological changes, but also including alterations in cognitive and affective states, at high spatial resolution. The dataset is accompanied by a detailed experimental protocol and source code of all stimuli used. Please subscribe to http://groups.google.com/group/7t_trt for important annoucements. More information at http://dx.doi.org/10.1101/008706.}, keywords= {fMRI, resting state, human, brain}, terms= {}, superseded= {} } https://academictorrents.com/download/5fc2f273123336ee34b9ea635ef8440377a42888