A longitudinal multi|scanner multimodal human neuroimaging dataset

Imaging Chinese Young Brains (I See Your Brain) - 科学数据银行

This dataset is a part of the CHIMGEN study, which is the largest prospective neuroimaging genetic cohort for Chinese Han adults with lifespan natural and ...

Longitudinal and multi-site studies - BIDS specification

Brain Imaging Data Structure 1.10.0. Longitudinal and multi-site studies. Type ... longitudinal dataset. Multi-site or multi-center studies. This version ...

Whole-Brain Segmentation of Longitudinal MRI Scans

Over the past two decades, longitudinal MRI scanning has ... The datasets included single- and multi-contrast longitudinal scans ...

Integrating Multimodal and Longitudinal Neuroimaging Data with ...

Here we propose a general fusion framework for multi-source learning of brain networks - multimodal brain network fusion with longitudinal coupling (MMLC).

Southwest University Longitudinal Imaging Multimodal (SLIM) Brain ...

The SLIM (Structural, Longitudinal, and Integrated Multimodal) dataset is a valuable resource in neuroimaging, acquired through multimodal magnetic resonance ...

Individualised prediction of longitudinal change in multimodal brain ...

We explore this possibility using longitudinal data of multiple modalities from UK Biobank brain imaging, with around 3,500 sub- jects. As ...

A generalizable brain extraction net (BEN) for multimodal MRI data ...

Yu et al. have also designed interfaces to support other popular neuroimaging processing pipelines and to directly deal with external datasets, ...

The ENIGMA‐Epilepsy working group: Mapping disease from large ...

ENIGMA-Epilepsy provides a large representative multimodal imaging data set across multiple centers, being thus optimal for the application of ...

Multimodal deep learning in neuroimaging - GitHub

... Longitudinal and Multi-Modal Data for Alzheimer's Disease Prediction ... Predict Phenotypic measures, Data: Human Connectome Project, Kennedy Krieger Institute ...

OASIS-3: Longitudinal Multimodal Neuroimaging, Clinical ... - NITRC

OASIS-3: Longitudinal Multimodal Neuroimaging, Clinical, and Cognitive Dataset for Normal Aging and Alzheimer's Disease ... human participants included in the ...

Estimating and accounting for the effect of MRI scanner changes on ...

2022, Frontiers in Aging Neuroscience. Scopus. WoS. Crossref citations: 0 · A longitudinal multi-scanner multimodal human neuroimaging dataset. Colin Hawco, ...

MISPEL: A supervised deep learning harmonization method for multi ...

... longitudinal multi-scanner imaging data. Neuroimage , 220:117129 ... A longitudinal multi-scanner multimodal human neuroimaging dataset.

A longitudinal resource for studying connectome development and ...

... multimodal dataset. The NKI ... During the collection of fMRI, physiological data (cardiac and respiratory) were obtained during scanning.

A longitudinal neuroimaging dataset on multisensory lexical ...

This dataset examines reading development through a longitudinal multimodal neuroimaging ... neuroimaging dataset has unique components that allow for multiple ...

A 204-subject multimodal neuroimaging dataset to study language ...

... A longitudinal multi-scanner multimodal human neuroimaging dataset Scientific Data 9(1): 332 · Prado, P.; Medel, V.; Gonzalez-Gomez, R.; Sainz-Ballesteros, A ...

Multimodal neuroimaging computing: the workflows, methods, and ...

A neuroimaging computing task in an analysis workflow may be fulfilled by multiple algorithms, and the most widely used algorithms, e.g., voxel- ...

ADNI | Alzheimer's Disease Neuroimaging Initiative

... a longitudinal, multi-center, observational study. The overall goal of ADNI is to validate biomarkers for Alzheimer's disease (AD) clinical trials. Study Data.

ANSH: Multimodal Neuroimaging Database Including MR ... - Frontiers

Alzheimer's disease (AD) is a devastating neurodegenerative disorder affecting millions of people worldwide. The etiology of AD is not known, ...

Conxz/multiBrain: A list of brain imaging datasets with ... - GitHub

Travelling Human Phantoms. A longitudinal human phantom reliability study of multi-center T1-weighted, DTI, and resting state fMRI data ...

A longitudinal neuroimaging dataset on multisensory lexical ...

... scanner. At session T2 participants completed visual word and ... This dataset examines reading development through a longitudinal multimodal neuroimaging ...