8 dataset results for fMRI

The Raider dataset collects fMRI recordings of 1000 voxels from the ventral temporal cortex, for 10 healthy adult participants passively watching the full-length movie “Raiders of the Lost Ark”.

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ABIDE (Autism Brain Imaging Data Exchange)

Autism spectrum disorder (ASD) is characterized by qualitative impairment in social reciprocity, and by repetitive, restricted, and stereotyped behaviors/interests. Previously considered rare, ASD is now recognized to occur in more than 1% of children. Despite continuing research advances, their pace and clinical impact have not kept up with the urgency to identify ways of determining the diagnosis at earlier ages, selecting optimal treatments, and predicting outcomes. For the most part this is due to the complexity and heterogeneity of ASD. To face these challenges, large-scale samples are essential, but single laboratories cannot obtain sufficiently large datasets to reveal the brain mechanisms underlying ASD. In response, the Autism Brain Imaging Data Exchange (ABIDE) initiative has aggregated functional and structural brain imaging data collected from laboratories around the world to accelerate our understanding of the neural bases of autism. With the ultimate goal of facilitating

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CWL EEG/fMRI Dataset

EEG/fMRI Data from 8 subject doing a simple eyes open/eyes closed task is provided on this webpage.

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ADHD-200

Attention Deficit Hyperactivity Disorder (ADHD) affects at least 5-10% of school-age children and is associated with substantial lifelong impairment, with annual direct costs exceeding $36 billion/year in the US. Despite a voluminous empirical literature, the scientific community remains without a comprehensive model of the pathophysiology of ADHD. Further, the clinical community remains without objective biological tools capable of informing the diagnosis of ADHD for an individual or guiding clinicians in their decision-making regarding treatment.

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IBC

IBC (Individual Brain Charting)

The Individual Brain Charting (IBC) project aims at providing a new generation of functional-brain atlases. To map cognitive mechanisms in a fine scale, task-fMRI data at high-spatial-resolution are being acquired on a fixed cohort of 12 participants, while performing many different tasks. These data—free from both inter-subject and inter-site variability—are publicly available as means to support the investigation of functional segregation and connectivity as well as individual variability with a view to establishing a better link between brain systems and behavior.

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Algonauts 2021 (How the Human Brain Makes Sense of a World in Motion)

The Algonauts dataset provides human brain responses to a set of 1,102 3-s long video clips of everyday events. The brain responses are measured with functional magnetic resonance imaging (fMRI). fMRI is a widely used brain imaging technique with high spatial resolution that measures blood flow changes associated with neural responses.

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Cam-CAN (Cambridge Centre for Ageing and Neuroscience dataset)

The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) is a large-scale collaborative research project at the University of Cambridge, launched in October 2010, with substantial initial funding from the Biotechnology and Biological Sciences Research Council (BBSRC), followed by support from the Medical Research Council (MRC) Cognition & Brain Sciences Unit (CBU) and the European Union Horizon 2020 LifeBrain project. The Cam-CAN project uses epidemiological, cognitive, and neuroimaging data to understand how individuals can best retain cognitive abilities into old age.

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GOD

GOD (Generic Object Decoding)

The Generic Object Decoding (GOD) Dataset is a specialized resource developed for fMRI-based decoding. It aggregates fMRI data gathered through the presentation of images from 200 representative object categories, originating from the 2011 fall release of ImageNet. The training session incorporated 1,200 images (8 per category from 150 distinct object categories). In contrast, the test session included 50 images (one from each of the 50 object categories). It is noteworthy that the categories in the test session were unique from those in the training session and were introduced in a randomized sequence across runs. On five subjects the fMRI scanning was conducted.

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Datasets

8 dataset results for fMRI