| Implant_Safety | Implant SAR vs Frequency | RF-induced SAR adjacent to orthopedic implant from 64 - 498 MHz | Simulation model created using Sim4Life software, and used for a full-wave electromagnetic simulations of the radiofrequency-induced SAR adjacent to orthopedic screws of varying length as a function of frequency (64-498 MHz). | Andrew | Fagan | /data/projects/Implant_Safety |
| IGT1 | IGT1 | SPL Image Guided Therapy | Public access data from the Image Guided Therapy program in the Surgical Planning Laboratory at Brigham and Womens Hospital | | | /data/projects/IGT1 |
| CENTRAL_hip | hip | hippocampus lddmm | a description | | | /data/projects/CENTRAL_hip |
| PBNC | PBNC | Pediatric Bipolar Neuroimaging Consortium | A central location for sharing images for the PBNC | | | /data/projects/PBNC |
| BPC2019 | BPC | Brasilia Parkinson Cohort | Cohort study of Parkinson´s disease and cognitive symptoms | Pedro Renato de Paula | Brandao | /data/projects/BPC2019 |
| PALS | PALS | PALS: Population-Average, Landmark- and Surface-based atlas | Cases composing the PALS atlas as borrowed from the OASIS cross-sectional data set. Includes raw T1 images, FSL's FAST tissue-segmented images, and Freesurfer-generated surfaces and subcortical parcellations. | | | /data/projects/PALS |
| CVRG0001 | CVRG0001 | CVRG LDDMM Cardiac Data | Testing upload of cardiac data. | | | /data/projects/CVRG0001 |
| BC_CT_TOR | BC_CT_TOR | Boston Children's CT Torsos | CT torso image volumes collected and manually segmented by the Pediatric Cardiology Department of Boston Children's Hospital and uploaded as a pilot project for the CardioVascular Research Grid (CVRG). | | | /data/projects/BC_CT_TOR |
| NHRD | NAMIC High Res DTI | NAMIC High Resolution DTI | | | | /data/projects/NHRD |
| RAT_Bottom-up | Rat Bottom-up fMRI | Bottom-up sensory processing can decrease activity and functional connectivity in the default mode like network in rats | Data described in paper: Bottom-up sensory processing can decrease activity and functional connectivity in the default mode like network in rats - Hinz R et al., 2019. Data includes: Anatomical T2 TurboRARE, Resting state baseline (RSB), Continuous random visual stimulation (CVS) and block design visual stimulation (BVS) scans. | Rukun | Hinz | /data/projects/RAT_Bottom-up |
| Selfcare | DIS | Depression Impacted by Selfcare | A non-official linear study collecting data of high school students reporting mild depression. After giving instructions for simple, short treatments they can complete on their own, they will be continuously collecting data for us. | Olivia | Harris | /data/projects/Selfcare |
| speechamusia | Speech and amusia | Speech processing in congenital amusia | | Kyle | Jasmin | /data/projects/speechamusia |
| testing_new | testing_new | testing_new | | | | /data/projects/testing_new |
| mBIRN_demo | mBIRN_demo | mBIRN_demo | | | | /data/projects/mBIRN_demo |
| CHDI_RS_17 | CHDI_rsfMRI_zQ175DN | CHDI project: dynamical rsfMRI in zQ175DN model of Huntingtons disease | This is a longitudinal project in resting-state fMRI across different ages of the zQ175DN HET mouse model of Huntingtons disease and age-matched controls. This data set has been used in the following publications: 1. Vasilkovska T, Adhikari MH, Van Audekerke J, et al. Resting-state fMRI reveals longitudinal alterations in brain network connectivity in the zQ175DN mouse model of Huntingtons disease. Neurobiol Dis. 2023;181:106095. doi:10.1016/j.nbd.2023.106095; 2. Adhikari MH, Vasilkovska T, Cachope R, et al. Longitudinal investigation of changes in resting-state co-activation patterns and their predictive ability in the zQ175 DN mouse model of Huntingtons disease. bioRxiv 2022.10.09.511485; doi: https://doi.org/10.1101/2022.10.09.511485 | Marleen | Verhoye | /data/projects/CHDI_RS_17 |
| Groupwise | NAMIC Groupwise Reg | NAMIC Groupwise Registration | The NAMIC Groupwise Registration Tutorial represents the convergence of groupwise registration algorithms from Polina Golland's lab at MIT, data from Martha Shenton's group at the Harvard Medical School, and the XNAT project. The goal is to showcase the use of these NAMIC tools and promote the use of the groupwise registration methods throughout the NAMIC community. | | | /data/projects/Groupwise |
| default | default | default | test xnd upload project | | | /data/projects/default |
| GWE | GWE Test Data | GWE Integration Test Data | | Marco | Ruiz | /data/projects/GWE |
| SPL_IGT | NCIGT SPL | NCIGT | NCIGT MRT Tumor Resection | tina | kapur | /data/projects/SPL_IGT |
| Calib | mBIRN Calibration | mBIRN_calib | This data set consists of spoiled gradient-recalled echo magnetic resonance imaging data from five healthy volunteers (four males and one female) scanned twice at four sites having 1.5T systems from different vendors(Siemens, GE, Marconi Medical Systems). Some subjects were also scanned a single time at another site. One subject was only scanned twice at three sites (subject 73213384) and once at another site. For each subject, four Fast Low-Angle Shot (FLASH) scans with flip angles of 3, 5, 20, and 30 degrees were obtained in a single scan session, from which tissue proton density and T1 maps can be derived. These data were acquired to investigate various metrics of within-site and across-site reproducibility. This study was sponsored by the Brain Morphometry testbed (MBIRN) of the Biomedical Informatics Research Network (BIRN). The images have been defaced so that no facial features can be reconstructed from these data. | Karl | Helmer | /data/projects/Calib |
| IGT_FMRI_NEURO | NCIGT_Functional_Neuro | Functional Data for Neurosurgical Planning | This is a collection of 44 publicly available functional mri scans for neurosurgery. The series description is the task performed for that particular series. | Ferenc | Jolesz | /data/projects/IGT_FMRI_NEURO |
| LONI_PL_ICBM | LONI Pipeline ICBM Data | LONI_PL_ICBM | | Zhizhong | Liu | /data/projects/LONI_PL_ICBM |
| IGT_GLIOMA | NCIGT_Intraop_Glioma | NCIGT Intra-operative MRT Glioma Resection | This is a collection of 33 publicly available MR data sets containing brain tumors (gliomas). Each data set contains multiple MR acquisitions (T1, T2, or SPGR) within a single series, as well as a description of the tumor, its size, grade, and location. | Ferenc | Jolesz | /data/projects/IGT_GLIOMA |
| ttt | ttt | ttt | ttteeesstttt | | | /data/projects/ttt |
| SIFTFeatures | sift_feat_hcp_oasis_adni | SIFT Features for HCP Q4, OASIS 1, OASIS 3 and ADNI 1 | This project will contain SIFT features extracted from HCP Q4, OASIS 1, OASIS 3 and ADNI 1 datasets. | | | /data/projects/SIFTFeatures |
| Neuro_MRT_g | Neuro-MRT genesis data | NCIGT-Harvard-BWH Neurosurgical Intraoperative Image Database GENESIS format data | Public access neurosurgical cases made available by the Image Guided Therapy Program at Harvard-Brigham and Women's Hospital. This data was originally in GENESIS format | Ferenc | Jolesz | /data/projects/Neuro_MRT_g |
| XTE_3 | XTE_3 | XTE_3 | XTE_3_Description | | | /data/projects/XTE_3 |
| NPTEST | NipypeTest | NipypeTest | Test project to store nipype output. | | | /data/projects/NPTEST |
| BP | Brain plasticity | Combination training increases cognitive performance and modifies the brain resting state activity in healthy aging individuals | fMRI | Stefano L. | Sensi | /data/projects/BP |
| NeuroMRT | Neuro-MRT Image Database | NCIGT-Harvard-Brigham Neurosurgical Intraoperative Image Database | Public access neurosurgical cases made available by the Image Guided Therapy Program at Harvard-Brigham and Women's Hospital. | | | /data/projects/NeuroMRT |
| Sample_DICOM | Sample_DICOM | Sample DICOM dataset | | | | /data/projects/Sample_DICOM |
| NCIGT_PROSTATE | BWH MRI Prostate | Prostate MRI Database | BWH MRI Prostate data. 10 datasets, including a derived segmentation series with labelmaps. | Ferenc | Jolesz | /data/projects/NCIGT_PROSTATE |
| Volatile | Volatile | Volatile | itsnotme | | | /data/projects/Volatile |
| AVZ_Slicer3Min | AVZ_Slicer3Min | AVZ_Slicer3MinuteTutorial | Gray scale image from Slicer 3 Minute Tutorial - with generated DICOM and nrrd files in reconstruction folder | Alexander | Zaitsev | /data/projects/AVZ_Slicer3Min |
| STSL | Object identity mapping | Spatiotemporal object identity mapping | A collection of functional mri datasets used to map areas involved in individual-level object categorization | | | /data/projects/STSL |
| MCIC | MCIC | The Mind Clinical Imaging Consortium (MCIC): A Multisite MRI Study of Schizophrenia | | | | /data/projects/MCIC |
| PA | PA | PA | | | | /data/projects/PA |
| PB | PB | PB | | | | /data/projects/PB |
| TESTSG | TESTSG | TESTSG | | | | /data/projects/TESTSG |
| unknown | unknown | unknown | | | | /data/projects/unknown |
| DOT_fMRI | DOT_fMRI_matched_dataset | Subject matched Diffuse Optical Tomography and fMRI: language tasks and resting state | This data set is composed of subject-matched data recorded non concurrently with Diffuse Optical Tomography (DOT) and fMRI. Task-based responses to four language tasks were recorded in five subjects. Resting state data was also collected in a set of eight subjects. | Joseph | Culver | /data/projects/DOT_fMRI |
| yaleemo | Yale Emotion fMRI | Yale Emotion Three-Run fMRI data | | Christopher | Hyatt | /data/projects/yaleemo |
| wh | wh | wh | | | | /data/projects/wh |
| ADHD200 | ADHD200 | ADHD200 | FreeSurfer reconstructions of the ADHD200 data | | | /data/projects/ADHD200 |
| PROBE | fMRI PROBE | fMRI data for model PROBE experiment | | Etienne | Koechlin | /data/projects/PROBE |
| 100RunsPerSubj | Whole-brain activity | Whole-brain, time-locked activation with simple tasks revealed using massive averaging and model-free analysis | This dataset contains anatomical, average of 100 functional runs and clustering results associated with the PNAS article of the same name as the project. | Javier | Gonzalez-Castillo | /data/projects/100RunsPerSubj |
| Upload | Upload Sample | Upload Sample | | | | /data/projects/Upload |
| Weight_syn_MT | Weight_syn_MT_DL | Direct Synthesis of Multi-Contrast Brain MR Images from MR Multitasking Spatial Factors Using Deep Learning | This project includes the 18*3*3 2D images used for radiologists' rating in the paper "Direct Synthesis of Multi-Contrast Brain MR Images from MR Multitasking Spatial Factors Using Deep Learning". The dataset includes 18 slices randomly selected from 18 subjects (15 MS patients and 3 healthy volunteers), each with three contrasts (i.e., T1 MPRAGE, T1 GRE, and T2 FLAIR) and three approaches (i.e., true acquisitions, deep learning synthesis, and Bloch-equation-based synthesis). The images provided here are sorted and labeled with different sources. But in the evaluation, they were presented to the radiologists mixed and in random order, without the source information. | Debiao | Li | /data/projects/Weight_syn_MT |
| surfmask_smpl | surfmask_smpl | Surface masking samples | The collection of structural T1 MRI scans from "Functional Data for Neurosurgical Planning" (IGT_FMRI_NEURO) project processed with surface obscuring algorithm. | | | /data/projects/surfmask_smpl |
| DCMPHANTOM | Dicomphantoms | Phantom DICOM data | | | | /data/projects/DCMPHANTOM |
| DTIChallenge12 | MICCAI2012 DTI Challenge | MICCAI 2012 DTI Tractography Challenge | MICCAI 2012 DTI Challenge 2nd Edition | Sonia | Pujol | /data/projects/DTIChallenge12 |
| Aging | Aging_TAU | Brain correlates of age related cognitive decline | | 0 | 0 | /data/projects/Aging |
| XnatSlicerTest2 | XnatSlicerTest2 | XnatSlicerTest2 | | | | /data/projects/XnatSlicerTest2 |
| Plasticity | Brain plasticity | Neural mechanisms of brain plasticity with complex cognitive training in healthy seniors | | | | /data/projects/Plasticity |
| NIFTI | NIFTI | NIFTI | | | | /data/projects/NIFTI |
| H | Humor | Humor | | | | /data/projects/H |
| slicedrop | Slice:Drop | Slice:Drop | Yo, drop tha slize!!! | | | /data/projects/slicedrop |
| Orientation | Orientation | Neural Networks and Orientation | fMRI data set on spatial orientation | | | /data/projects/Orientation |
| OJNFC | OJ, NFC | Orange Juice, Not From Concentrate | Test 123 | | | /data/projects/OJNFC |
| testandaPA | testandaRT | testandaT | | Anda | Pacurar | /data/projects/testandaPA |
| FOS_MMC | FOS Task | FOS Task - Block Design | | Ella | Gabitov | /data/projects/FOS_MMC |
| PFSnovMRI | fMRI episodic simulation | Functional MRI dataset of episodic simulation study | This dataset contains functional MRI data investigating repetition in episodic simulation, and was made accessible to go along with a paper. | Donna Rose | Addis | /data/projects/PFSnovMRI |
| MVPA_true | Decoding true answers | Decoding subjectively true “Yes/No” thoughts in the human brain using fMRI | Human fMRI data for the paper "Decoding subjectively true “Yes/No” thoughts in the human brain using fMRI" | Zhi | Yang | /data/projects/MVPA_true |
| bistable | Bistable Perception fMRI | Brain mechanisms for simple perception and bistable perception | For details of this project, see Wang, Artega & He, PNAS 2013 | Biyu | He | /data/projects/bistable |
| IXI | IXI | IXI | | | | /data/projects/IXI |
| XNATSlicerTest | XNATSlicerTest | XNATSlicerTest | | | | /data/projects/XNATSlicerTest |
| dMRI_Phant_MGH | Connectome phantom dMRI | A comprehensive diffusion MRI dataset acquired on the MGH Connectome scanner using a biomimetic brain phantom | Diffusion microstructural imaging techniques have attracted great interest in the last decade due to their ability to quantify axon diameter and volume fraction in healthy and diseased human white matter. The estimates of compartment size and volume fraction continue to be debated, in part due to the lack of a gold standard for validation and quality control. In this work, we validate diffusion MRI estimates of compartment size and volume fraction using a novel textile axon (“taxon”) phantom constructed from hollow polypropylene yarns with distinct intra- and extra-taxonal compartments to mimic white matter in the brain. We acquired a comprehensive set of diffusion MRI measurements in the phantom using multiple gradient directions, diffusion times and gradient strengths on a human MRI scanner equipped with gradient strengths up to 300 mT/m. We recovered estimates of compartment size and restricted volume fraction through a straightforward extension of the AxCaliber/ActiveAx frameworks that enables estimation of mean compartment size in fiber bundles of arbitrary orientation. The voxel-wise taxon diameter estimates of 12.2 ± 0.9 um were close to the manufactured inner diameter of 11.8 ± 1.2 um. The estimated restricted volume fraction demonstrated an expected decrease in accordance with the known construction of decreasing packing density in the phantom. In conclusion, the compartment size and volume fraction estimates resulting from diffusion measurements on a human scanner were validated against ground truth in a phantom mimicking human white matter, providing confidence that this method can provide accurate estimates of parameters in simplified but realistic microstructural environments. Our work also demonstrates the importance of a biologically analogous phantom that can be applied to validate a variety of diffusion microstructural imaging methods in human scanners and be used for standardization of diffusion MRI protocols for neuroimaging research. | Susie | Huang | /data/projects/dMRI_Phant_MGH |
| fMRI_DK | fMRI decision-making | fMRI data for integration of rules and preferences in human decision-making | fMRI data for integration of rules and preferences in human decision-making Data acquired in Hospital Pitie Salpetriere | Etienne | Koechlin | /data/projects/fMRI_DK |
| DMLN | BFB_ACH_DMLN | Cholinergic modulation of the default mode-like network in rats | Excitatory DREADDs were expressed in the cholinergic neurons of the right basal forebrain. RsfMRI was performed to investigate changes in FC. | Monica | van den Berg | /data/projects/DMLN |
| fMRI_PM | retinotopy scotomas | Predictive masking of an artificial scotoma is associated with a system-wide reconfiguration of neural populations in the human visual cortex | 7 healthy observer, fMRI, spatial frequency based retinotopic stimulus with and without artificial scotomas | Frans | Cornelissen | /data/projects/fMRI_PM |
| switchigdmnsn | state switching | Anticipatory processes in brain state switching | Anticipatory processes in brain state switching (rest-to-task and task-to-rest) implicating the DMN and SN (rAI). | Justina | Sidlauskaite | /data/projects/switchigdmnsn |
| legaljudge2021 | Legal Judge | MRI of Legal Judgements | MRI data from an fMRI experiment on the subject of legal judgements. | | | /data/projects/legaljudge2021 |
| MEG_fMRI | MEG-fMRI Integration | MEG-fMRI Integration | | Ryan | D'Arcy | /data/projects/MEG_fMRI |
| Neuroscience | Deciphering Sounds | Deciphering Sounds Through Patterns of Vibration on the Skin | Sensory substitution refers to the concept of feeding information to the brain via an atypical sensory pathway. We here examined the degree to which participants (deaf and hard of hearing) can learn to identify sounds that are algorithmically translated into spatiotemporal patterns of vibration on the skin of the wrist. In a three-alternative forced choice task, participants could determine the identity of up to 95% and on average 70% of the stimuli simply by the spatial pattern of vibrations on the skin. Performance improved significantly over the course of 1 month. Younger participants tended to score better, possibly because of higher brain plasticity, more sensitive skin, or better skills at playing digital games. Similar results were obtained with pattern discrimination, in which a pattern representing the sound of one word was presented to the skin, followed by that of a second word. Participants answered whether the word was the same or different. With minimal difference pairs (distinguished by only one phoneme, such as ‘‘house” and ‘‘mouse”), the best performance was 83% (average of 62%), while with non-minimal pairs (such as ‘‘house” and ‘‘zip”) the best performance was 100% (average of 70%). Collectively, these results demonstrate that participants are capable of using the channel of the skin to interpret auditory stimuli, opening the way for low-cost, wearable sensory substitution for the deaf and hard of hearing communities. | | | /data/projects/Neuroscience |
| fMRI_AD_mouse | RS fMRI ArcAbeta mouse | Resting state fMRI and diffusion tensor imaging in a mouse model of cerebral amyloidosis | ArcAbeta mouse model of AD was studies in a cross-sectional design at 1, 2, 5, 8, 11, 19 and 21 months. Resting state fMRI and DTI was performed in isoflurane anesthetized mice using a 9.4T Biospec magnet, and a cryogenic surface reciever coil. For details, please refer to Grandjean et al. J.Neuro 2014 | Joanes | Grandjean | /data/projects/fMRI_AD_mouse |
| T1rho | Functional T1rho | Functional T1rho Imaging | Functional T1rho Imaging Data | Vincent | Magnotta | /data/projects/T1rho |
| Framesocdisc | Frame social discounting | Framing effect on social discounting | 40 participants. FOR EACH PARTICIPANT THERE ARE TEN FOLDERS. SIX FOLDERS CONTAIN THE FIELDMAPS COLLECTED RIGHT BEFORE THE FUNCTIONAL RUNS (TWO 'GFM_SD_FRAME_1' BEFORE THE FIRST FUNCTIONAL RUNS; TWO 'GFM_SD_FRAME_2' BEFORE THE SECOND FUNCTIONAL RUNS; TWO 'GFM_SD_FRAME_3' BEFORE THE THIRD FUNCTIONAL RUNS). THREE FOLDERS CONTAIN THE FUNCTIONAL IMAGES (RUN 1='SD_FRAME_1'; RUN 2='SD_FRAME_2'; RUN 3='SD_FRAME_3'). ONE FOLDER CONTAINS STRUCTURAL IMAGES ('T1_MPR_32CH_ISO'). | Manuela | Sellitto | /data/projects/Framesocdisc |
| BTD_LSTM | Brain Tumor Detection | Brain Tumor Detection using LSTM | | | | /data/projects/BTD_LSTM |
| my_project_vikas3105 | my_project_vikas3105 | my_project_vikas3105 | | | | /data/projects/my_project_vikas3105 |
| ActiveMathGram | Active Math & Grammar | Active math and grammar learning engage overlapping brain networks 2021 | Task fMRI related to learning mathematical problems and grammar with active vs passive methods. | Bert | Jonsson | /data/projects/ActiveMathGram |
| TUTORIAL | Tutorial | Tutorial | | | | /data/projects/TUTORIAL |
| PRO123 | PRO123 | PRO123 | | | | /data/projects/PRO123 |
| PROJ234 | PROJ234 | PROJ234 | | | | /data/projects/PROJ234 |
| ISMRMRD | ISMRMRD | ISMRMRD Paper | Raw data for the ISMRMRD manuscript. | Souheil | Inati | /data/projects/ISMRMRD |
| OlgaKotelko | Olga Kotelko's brain | Structural MRI data of Olga Kotelko (1919-2014): a world-famous nonagenarian track and field athlete | This is the MRI data (DTI, anatomical, and T2-WI) of an exceptional nonagenarian Olga Kotelko (1919-2014), acquired in 2012 when she was 93. Olga began engaging in regular exercise after retiring at 65, trained for competitions since age of 77, and as of June 2014 held over 30 world records in her age category in track-and-field. https://en.wikipedia.org/wiki/Olga_Kotelko The data is published in Neurocase http://dx.doi.org/10.1080/13554794.2015.1074709 | Agnieszka | Burzynska | /data/projects/OlgaKotelko |
| CSD_MRI_MOUSE | CSD Mouse | Chronic social defeat in mouse | Chronic social defeat (CSD) was performed over 15 days in mice. Animals were measured at baseline, and 1 day following the end of the paradigm. rs-fMRI, 3d anatomical, diffusion tensor imaging and spectroscopy were acquired. Spectroscopy was either performed in the right amygdala or in the prefrontal cortex | Joanes | Grandjean | /data/projects/CSD_MRI_MOUSE |
| IPMSA_CSP | IPMSA_CSP | Longitudinal multicenter cervical spinal tract diffusion MRI for progressive MS | | | | /data/projects/IPMSA_CSP |
| nosetests | nosetests | nosetests | Random_project_description_36 | | | /data/projects/nosetests |
| ins_d_qa_mri | ins_d_qa_mri | ins_d_qa_mri | Daily MRI QA: INS. MRI Quality assurance data. | | | /data/projects/ins_d_qa_mri |
| SHCFS | SHCFS | ShangHai ChangFeng Study | | | | /data/projects/SHCFS |
| FCP | FCP | FCP | | | | /data/projects/FCP |
| SAFMD | SA in FMD | Self agency in functional movement disorders | Intramural NIH-funded study exploring the self-agency neural network in patients/controls with functional movement disorders. | Fatta | Nahab | /data/projects/SAFMD |
| DemoProject | DemoProject | DemoProject | | Raphael | Espanha | /data/projects/DemoProject |
| DemoToXNAT | DemoToXNAT | DemoToXNAT | | | | /data/projects/DemoToXNAT |
| XnatProject | XnatProject | XnatProject | | | | /data/projects/XnatProject |
| MVPA_FEAT_CONJ | Conjunctive Coding | Conjunctive coding of complex object features in human anterior temporal cortex | | Jonathan | Erez | /data/projects/MVPA_FEAT_CONJ |
| FCStateClassif | FCvsCognitiveState | Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns | | Javier | Gonzalez-Castillo | /data/projects/FCStateClassif |
| RestFaceTMS | RestFaceNetworkTMS | Thetaburst TMS to the posterior superior temporal sulcus disrupts resting-state fMRI connectivity across the face processing network | Humans recognize faces using a network of face-selective regions distributed across the brain. Neuropsychological patient studies demonstrate that focal damage to nodes in this network can impair face recognition, but such patients are rare. In the present study we simulated the effects of damage to the face network in neurologically normal human participants using thetaburst transcranial magnetic stimulation (TBS). Multi-echo functional magnetic resonance imaging (fMRI) was performed prior to and following TBS delivered over the face-selective right superior temporal sulcus (rpSTS), or a control site in the right motor cortex. TBS delivered over the rpSTS reduced resting-state connectivity across the extended face-processing network. This connectivity reduction was observed not only between the rpSTS and other face-selective areas, but also between non-stimulated face-selective areas across the ventral, medial and lateral brain surfaces (e.g. between the right amygdala and bilateral fusiform face areas and occipital face areas). TBS delivered over the motor cortex did not produce significant changes in resting-state connectivity across the face-processing network. These results demonstrate disrupting a single node in a brain network can impair the functional connectivity between the distributed nodes of that network that have not been directly stimulated. | Daniel | Handwerker | /data/projects/RestFaceTMS |
| 19081998 | hyab33: Phase 2 SSIP | Undergraduate project: A Longitudinal Comparative Assessment of the Neurological Imaging Changes seen In Alzheimer’s Disease and Aging | Medical student Phase 2 undergraduate research project at the Hull York Medical School | | | /data/projects/19081998 |
| fMRI_ane_mouse | fMRI anesthesia in mice | Resting-state anesthetic protocol comparison in mice | BOLD Resting-state fMRI in mice were acquired on a 9.4T Bruker magnet using a 2x2 phased-array cryogenic coil. Anesthesia protocols are compared: Isoflurane 1%, Medetomidine 0.1mg/kg+0.2mg/kg/h, Medetomidine 0.05mg/kg+0.1mg/kg/h, Propofol 30 mg/kg, Urethane 1.5g/kg and Isoflurane 0.5% + Medetomidine 0.05mg/kg+0.1mg/kg/h combined. For details, see Grandjean, Schroeter et al. Neuroimage 2014 | Joanes | Grandjean | /data/projects/fMRI_ane_mouse |
| fMRI_AD_mouse2 | fMRI/MRI of APP tg lines | fMRI/MRI phenotyping of 3 differnet APP transgenic mouse models of Alzheimer's disease | 3 different APP transgenic strains were investigated using resting-state fMRI, volumetric MRI, and diffusion weighted imaging. Each strain present different type of amyloid pathologies: E22{delta}A{beta} with Swedish mutation (K670N+M671L) and Osaka mutation (E693{delta}) presents only intracellular amyloid deposits. ArcA{beta} with Swedish mutation (K670N+M671L) and the Arctic mutation (E693G) presents intracellular amyloid deposits, parenchymal and vascular amyloid plaques. PSAPP with Swedish mutation (K670N+M671L) and PS1 {delta}E9 mutation presents parenchymal plaques. For details, see: Grandjean et al. Complex interplay between brain function and structure during cerebral amyloidosis in APP transgenic mouse strains revealed by multi-parametric MRI comparison , Neuroimage 2016 | Joanes | Grandjean | /data/projects/fMRI_AD_mouse2 |
| Day3Data | Day3Data | Day3Data | | | | /data/projects/Day3Data |
| eTRIKS | eTRIKS-Imaging | Optimise | Data repository for linking XNAT into eTRIKS repository | May | Yong | /data/projects/eTRIKS |
| DIAGTREAT | how doctors diagnose | How doctors diagnose diseases and prescribe treatments: an fMRI investigation with primary care physicians | | Marcio | Melo | /data/projects/DIAGTREAT |
| msimaging | MS Imaging | Multiple Sclerosis Imaging | | May | Yong | /data/projects/msimaging |
| dcmsample | dcmsample | dcmsample | | | | /data/projects/dcmsample |
| 6-OHDA | rsfMRI 6-OHDA | rsfMRI 6-OHDA | | | | /data/projects/6-OHDA |
| L2struc | Bilingualism and brain | Effects of bilingualism on brain structure and function | | Christos | Pliatsikas | /data/projects/L2struc |
| GRAPPANoise | k-space Noise Analysis | Exact Calculation of Noise Maps and g-Factor in GRAPPA using a k–space Analysis | Noise characterization in MRI has multiple applications, including quality assurance and protocol optimization. It is particularly important in the presence of parallel imaging acceleration, where the noise distribution can contain severe spatial heterogeneities. If the parallel imaging reconstruction is a linear process, an exact noise analysis is possible by taking into account the correlations between all the samples involved. However, for k-space based techniques like GRAPPA, the exact analysis has been considered computationally prohibitive due to the very large size of the noise covariance matrices required to characterize the noise propagation from k-space to image-space. Previous methods avoid this computational burden by approximating the GRAPPA reconstruction as a pixel-wise linear operation performed in the image-space. However, these methods are not exact in the presence of non-uniform k-space undersampling (e.g.: containing a calibration region). For this reason, in this work we develop an exact characterization of the noise distribution for self-calibrated parallel imaging in the presence of arbitrary Cartesian undersampling patterns. By exploiting the symmetries and separability in the noise propagation process, the proposed method is computationally efficient and does not require large matrices. In this manuscript, we present the proposed noise characterization method and compare it to previous techniques using Monte-Carlo simulations as well as phantom acquisitions. | | | /data/projects/GRAPPANoise |
| IGD-AI-ADN | online gaming disorder, | online gaming disorder, internet or social networks | fMRI image processing research of brains with addiction to online games, social networks internet | | | /data/projects/IGD-AI-ADN |
| OS-fMRI | Cortical silencing fMRI | Dissection of mouse somatosensory network by fMRI with optogenetic silencing | CBV-weighted somatosensory fMRI with/without cortical inactivation acquired in mice at 15.2 T: FLASH sequence, TR/TE= 50/3 ms, spatial resolution = 156 um x 156 um x 500 um, temporal resolution = 2 s and 45 mg/kg MION injection. This dataset corresponds to the following publication: WB Jung, HY Jiang, SH Lee and SG Kim. Dissection of brain-wide resting-state and functional somatosensory circuits by fMRI with optogenetic silencing. Proceedings of the National Academy of Sciences of the United States of America 2021; Accepted. | | | /data/projects/OS-fMRI |
| test_090222 | test_090222 | test_090222 | | | | /data/projects/test_090222 |
| PV-SP-NK1 | neurovascular coupling | Parvalbumin interneuron activity drives fast inhibition-induced vasoconstriction followed by slow substance P-mediated vasodilation | Here, we investigated the hemodynamic responses elicited by optogenetic stimulation of parvalbumin (PV) neurons, the largest population of GABAergic interneurons in the neocortex. This dataset corresponds to the following publication: Thanh Tan Vo, Geun Ho Im, Kayoung Han, Minah Suh, Patrick J. Drew, and SG Kim. Parvalbumin interneuron activity drives fast inhibition-induced vasoconstriction followed by slow substance P-mediated vasodilation. Proceedings of the National Academy of Sciences of the United States of America 2023; Accepted. | Tan Thanh | Vo | /data/projects/PV-SP-NK1 |
| 1604 | CS-Wave recon | CS-Wave | | | | /data/projects/1604 |
| DELUSIONS | AD and Delusions | AD and Delusions: Association with Hippocampal and Amygdala Volumes | | | | /data/projects/DELUSIONS |
| jh_sandbox2 | jh_sandbox2 | jh_sandbox2 | | | | /data/projects/jh_sandbox2 |
| 7T_T1_atlas | 7T_T1_atlas | Submillimeter quantitative T1 atlas at 7T | Atlas related to publication: Submillimeter T1 atlas for subject-specific abnormality detection at 7T. The atlas can be downloaded from the additional Files related to the study after logging in into the XNAT platform. | Piotr | Radojewski | /data/projects/7T_T1_atlas |
| wangfreiburg | tPCR | Time-domain Principal Component Reconstruction | | Fei | Wang | /data/projects/wangfreiburg |
| vikas3105xnat | vikas3105xnat | vikas3105xnat | vikas3105xnat | | | /data/projects/vikas3105xnat |
| paisroldan2020 | Pupil-Ca-fMRI-RAW DATA | Indexing brain state-dependent pupil dynamics with simultaneous fMRI and optical fiber calcium recording_RAW DATA | Raw data of: fMRI calcium traces pupil diameter traces | | | /data/projects/paisroldan2020 |
| swps | SWPS workshops | SWPS workshop | | | | /data/projects/swps |
| ASLPHANTOM | PENN ASL PHANTOM | A PERFUSION PHANTOM FOR ASL MRI | A novel perfusion phantom for validation of arterial spin labeled (ASL) perfusion MRI protocols, developed at UPENN. | John | Detre | /data/projects/ASLPHANTOM |
| ReliabilityRad | RobustRadiomicsPhantom | A multicenter study on radiomic features from T2-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics | | | | /data/projects/ReliabilityRad |
| Nature | Nature and the Brain | The human posterior cingulate and the stress-response benefits of viewing green urban landscapes | | Dorita | Chang | /data/projects/Nature |
| nosetests5 | nosetests5 | nosetests5 | nosetests | | | /data/projects/nosetests5 |
| DOZO | Dozing Off | BOLD and physiological correlates of multiple short sleep episodes | | | | /data/projects/DOZO |
| ME_epi_mouse | ME-EPI Mouse | Multi-echo gradient-echo EPI resting-state fMRI in mice | A dataset of 14 multi-echo-epi scans of the mouse brain at rest, acquired at 9.4T with a 2x2 phased-array cryogenic reciever coil Study design and results are described in: Grandjean et al. Dynamic reorganization of intrinsic functional networks in the mouse brain, 2017, NeuroImage | Joanes | Grandjean | /data/projects/ME_epi_mouse |
| CSD_ME_MOUSE | CPS ME mouse | Chronic psychosocial stress multi-echo EPI in mouse | Multi-echo EPI fMRI acquired in mice at baseline and following Chronic Psychosocial Stress. Baseline consists of two scans acquired 30 minutes apart. Acquired at 9.4T with a 2x2 phased-array cryogenic reciever coil Study design and results are described in: Grandjean et al. Dynamic reorganization of intrinsic functional networks in the mouse brain, 2017, NeuroImage | Joanes | Grandjean | /data/projects/CSD_ME_MOUSE |
| CSperf_19F-MRI | CS Performance 19F-MRI | Performance of Compressed Sensing for Fluorine-19 MRI at low SNR Conditions | Supplementary material to Performance of Compressed Sensing for Fluorine-19 Magnetic Resonance Imaging at low Signal-to-Noise Ratio Conditions (currently under review at Magnetic Resonance in Medicine). To view images: go to download images, choose Option 2: ZIP download, check include subject in file path, view .dcm images with the dicom viewer of your choice (e.g. MicroDicom) | Ludger | Starke | /data/projects/CSperf_19F-MRI |
| MIX | PFC decision-making | Prefrontal mechanisms combining reward probabilities and values in human adaptive decision-making | | Etienne | Koechlin | /data/projects/MIX |
| ASD_NF | ASD neurofeedback | Direct modulation of aberrant brain network connectivity through real-time neurofeedback | 17 patients with Autism Spectrum Disorder and 10 typically developing controls underwent 4 days of neurofeedback training | Alex | Martin | /data/projects/ASD_NF |
| nosetests_info | nosetests_info | nosetests_info | test for object information | | | /data/projects/nosetests_info |
| VPMofMRI | VPM ofMRI | Optogenetic fMRI mouse VPM | | | | /data/projects/VPMofMRI |
| OASIS4 | OASIS4 | OASIS4 | *Access request: oasis-brains.org* OASIS-4 contains MR, clinical, cognitive, and biomarker data for individuals that presented with memory complaints. | Pamela | LaMontagne | /data/projects/OASIS4 |
| Raw_dual_echoe | Raw_dual_echoes | Raw_dual_echoes | Raw_dual_echoes | Pei-Yan | Li | /data/projects/Raw_dual_echoe |
| xnatpydemo | xnatpydemo | xnatpydemo | Random project description 76 | | | /data/projects/xnatpydemo |
| CENTRAL_OASIS_CS | OASIS_CS | Oasis Cross-Sectional Studies | See www.oasis-brains.org for details. | Dan | Marcus | /data/projects/CENTRAL_OASIS_CS |
| 100Runs7T | 100Runs7T | Task dependence, tissue specificity, and spatial distribution of wide-spread activations in single-subject fMRI at 7T | It was recently shown that when large amounts of task-based blood oxygen level–dependent (BOLD) data are combined to increase contrast- and temporal signal-to-noise ratios, the majority of the brain shows significant hemodynamic responses time-locked with the experimental paradigm. Here, we investigate the biological significance of such widespread activations. First, the relationship between activation extent and task demands was investigated by varying cognitive load across participants. Second, the tissue specificity of responses was probed using the better BOLD signal localization capabilities of a 7T scanner. Finally, the spatial distribution of 3 primary response types—namely positively sustained (pSUS), negatively sustained (nSUS), and transient—was evaluated using a newly defined voxel-wise waveshape index that permits separation of responses based on their temporal signature. About 86% of gray matter (GM) became significantly active when all data entered the analysis for the most complex task. Activation extent scaled with task load and largely followed the GM contour. The most common response type was nSUS BOLD, irrespective of the task. Our results suggest that widespread activations associated with extremely large single-subject functional magnetic resonance imaging datasets can provide valuable information about the functional organization of the brain that goes undetected in smaller sample sizes. | Javier | Gonzalez-Castillo | /data/projects/100Runs7T |
| UBG_Learn | Rules of social exchange | Learning rules of engagement for social exchange within and between groups | Globalizing economies and long-distance trade rely on individuals from different cultural groups to negotiate agreement on what to give and take. In such settings individuals often lack insight in what interaction partners deem fair and appropriate, potentially seeding misunderstandings, frustration, and conflict. Here we examine how individuals decipher distinct rules of engagement and adapt their behavior to reach agreements with partners from other cultural groups. Modeling individuals as Bayesian learners with inequality aversion reveals that individuals, in repeated ultimatum bargaining with responders sampled from different groups, can be more generous than needed. While this allows them to reach agreements, it also gives rise to biased beliefs about what is required to reach agreement with members from distinct groups. Preregistered behavioral (N = 420) and neuro-imaging experiments (N = 49) support model predictions, showing that seeking equitable agreements can lead to overly generous behavior towards partners from different groups alongside incorrect beliefs about prevailing norms of what is fair and appropriate in groups and cultures other than one’s own. | | | /data/projects/UBG_Learn |
| OASIS3 | OASIS3 | OASIS3 | Data Use Agreement at ** www.oasis-brains.org ** Data provided by the Knight ADRC at Washington University in St. Louis. ###### Details and Download scripts available at ** www.oasis-brains.org ** | Pamela | LaMontagne | /data/projects/OASIS3 |
| GFD_SNR20 | GFD_SNR20 | glioma_phantom_datasets_SNR20 | Simulated DWI datasets of low- and high-grade gliomas. Assumed patient number is 125 for each grade. A circular region of a healthy volunteer-DWI is replaced with glioma signals. MPG directions are as follows: {{-1, 0, 0}, {0, -1, 0}, {0, 0, 1}, {0.042, 0.115, -0.993}, {-0.175, 0.201, -0.964}, {-0.232, 0.163, -0.959}, {-0.368, -0.026, -0.93}, {-0.19, -0.374, -0.908}, {0.117, -0.833, -0.54}, {0.2, -0.253, -0.947}, {0.496, -0.134, -0.858}, {0.014, 0.628, -0.778}, {0.744, 0.148, -0.651}, {0.761, -0.32, -0.564}, {0.181, -0.925, -0.335}, {0.68, 0.422, -0.6}, {-0.777, -0.471, -0.418}, {-0.924, 0.104, -0.368}, {-0.468, 0.767, -0.438}, {-0.882, 0.189, -0.432}, {-0.69, -0.706, -0.157}, {-0.239, -0.757, -0.608}, {0.058, -0.984, 0.17}, {0.537, -0.836, -0.113}, {0.992, 0.121, -0.042}, {0.997, -0.071, -0.038}, {0.872, -0.478, -0.101}, {0.249, -0.934, 0.258}, {-0.118, -0.992, -0.047}, {-0.338, -0.841, 0.422}, {-0.529, -0.841, 0.116}, {-0.997, -0.055, -0.057}} | | | /data/projects/GFD_SNR20 |
| CENTRAL_OASIS_LONG | OASIS_LONG | OASIS Longitudinal Studies | The Open Access Series of Imaging Studies (OASIS) is a series of MRI data sets that is publicly available for study and analysis. The present data set consists of a longitudinal collection of 151 subjects aged 60 to 98. Each subject was scanned on two or more visits, separated by at least one year. All subjects were characterized using the Clinical Dementia Rating (CDR) are either nondemented or with very mild to mild dementia of the Alzheimer’s type (DAT). 77 of the subjects were characterized as nondemented at the time of each of their visits. 64 of the included subjects were characterized as demented at the time of their initial visits and remained so for subsequent scans. Another 10 subjects were characterized as nondemented at the time of their initial visit and were subsequently characterized as demented at the time of one or more later visits. The subjects were all right-handed and include both men (n=62) and women (n=89). For each scanning session, 3 or 4 individual T1-weighted MRI scans were obtained. Multiple within-session acquisitions provide extremely high contrast-to-noise making the data amenable to a wide range of analytic approaches including automated computational analysis. Automated calculation of whole brain volume and estimated total intracranial volume are presented to demonstrate use of the data for measuring differences associated with normal aging and Alzheimer’s disease. | | | /data/projects/CENTRAL_OASIS_LONG |
| KORD | ACA inhibition with KORD | Anterior cingulate area inactivation with kappa opioid receptor DREADDs | | Lore M | Peeters | /data/projects/KORD |
| Tracto | Arcuate and SLF Tracts | Connections between temporo-parietal and frontal brain areas | Reconstruction and better defining the Arcuate and Superior Longitudinal fasciculi | Michael | Petrides | /data/projects/Tracto |
| Soyassa | Acute Mild Exercise | Acute Mild Exercise | | Hideaki | Soya | /data/projects/Soyassa |
| PN2021A | Maths_GABA | The impact of a lack of mathematical education on brain development and future attainment | | | | /data/projects/PN2021A |
| PN21 | MA_GABA | The impact of a lack of mathematical education | This (XNAT central-based) dataset corresponds to the following publication: Zacharopoulos G, Sella F, Cohen Kadosh R. The impact of a lack of mathematical education on brain development and future attainment. Proceedings of the National Academy of Sciences of the United States of America 2021; Accepted. For more information about the project, please read the README file. You can get this by clicking Download Images - In column 1 unselect All, and only select README. In column 3 choose Option 2: ZIP download - your download should be less than 1MB (if not, you may have other sessions selected). | | | /data/projects/PN21 |
| SOCARTILIITIES | PNC REAL TIME COUNT | Planter Nuts Combined | Steppible Works | 0 | 0 | /data/projects/SOCARTILIITIES |
| HumanCT | Visible Human Project CT | Visible Human Project CT Datasets Male and Female | NIH Visible Human Project Home page: https://www.nlm.nih.gov/research/visible/visible_human.html The NLM Visible Human Project has created publicly-available complete, anatomically detailed, three-dimensional representations of a human male body and a human female body. Specifically, the VHP provides a public-domain library of cross-sectional cryosection, CT, and MRI images obtained from one male cadaver and one female cadaver. The Visible Man data set was publicly released in 1994 and the Visible Woman in 1995. The data sets were designed to serve as (1) a reference for the study of human anatomy, (2) public-domain data for testing medical imaging algorithms, and (3) a test bed and model for the construction of network-accessible image libraries. The VHP data sets have been applied to a wide range of educational, diagnostic, treatment planning, virtual reality, artistic, mathematical, and industrial uses. About 4,000 licensees from 66 countries were authorized to access the datasets. As of 2019, a license is no longer required to access the VHP datasets. | | | /data/projects/HumanCT |
| NUDataSharing | NUSDAST | NU Schizophrenia Data and Software Tool Federation using BIRN Infrastructure (NUSDAST) | --To access data, please read and sign the Data Use Agreement: http://niacal.northwestern.edu/nusdast_accessors/new. --All MR data are in AnalyzeTM format. The dataset includes high-resolution T1- (FLASH and MPRAGE) and T2- (TSE) weighted MR scans, in AnalyzeTM format. --The clinical datasets include diagnosis, age, gender, parental socioeconomic status, as well as measures of the severity of psychopathology. --Z-scored neurological test can be accessed here. Tasks are grouped into the following four domains: Working Memory, Episodic Memory, Executive Function, Crystallized Intelligence. From the NUDataSharing project page, click on [add tab] next to the [Subjects] tab at the bottom, and select [Neurocogs[. The spreadsheet can be downloaded by clicking [Options] then [Spreadsheet] on the right. --Item-wide Neuropsychological test data are now accessible at http://schizconnect.org/, along with all imaging and clinical data. The battery of neuropsychological tests includes tasks relevant to prior studies of cognition in schizophrenia. Tasks are grouped into the following four domains: Working Memory, Episodic Memory, Executive Function, Crystallized Intelligence. --The genotyping data will include BDNF (rs6265), EGFR (rs10228436), FGF-2 (rs1048201), and IL-3 (rs40401). --Also, GWAS data is available for a subset of subjects: https://central.xnat.org/data/projects/NUDataSharing/resources/Genetics/files/130130_NWProject_Genotypes_N=143_NoFiltering-QC.map https://central.xnat.org/data/projects/NUDataSharing/resources/Genetics/files/130130_NWProject_Genotypes_N=143_NoFiltering-QC.ped --This project was funded by the NIMH: 1R01 MH084803 --This project makes available MR images, demographic, clinical, neurocognitive and genotype data from 139 subjects with schizophrenia and 136 control subjects. The dataset also includes manual segmentation for: Hippocampus, Amygdala, Thalamus, Basal Ganglia (caudate nucleus, nucleus accumbens, putamen, globus pallidus), Cingulate gyrus, include the anterior, posterior segments, Prefrontal cortex (including superior, middle and inferior gyri), and Parahippocampal gyrus (including entorhinal, perirhinal and parahippocampal cortices). --Group codes: 1;Schizophrenic 2;Sibling 3;Control 4;Test 5;Control Sibling | Lei | Wang | /data/projects/NUDataSharing |