A Multimodal Dataset to Investigate Task-Evoked Negative BOLD Response and Neurodegeneration

Area of Science:

• Neuroscience
• Medical Imaging
• Cognitive Science

Background:

• The Quantitative Neuroimaging Laboratory Dataset is a valuable resource for studying brain function.
• It includes a wide range of neuroimaging modalities and cognitive assessments.
• The dataset focuses on characterizing brain activity across different cognitive domains and age groups.

Purpose of the Study:

• To characterize the spatial and temporal properties of the brain's hemodynamic response, including deactivation.
• To investigate the task dependency of brain responses.
• To explore the interaction between brain activity and large-scale functional connectivity networks.

Main Methods:

• Magnetic Resonance Imaging (MRI) and functional MRI (fMRI) for resting-state and task-based paradigms.
• Positron Emission Tomography (PET) scans using tracers like [18F]Fluorodeoxyglucose (FDG), Florbetaben, and MK-6240.
• Neuropsychological assessments and vital signs collection.

Main Results:

• The dataset comprises 4688 MRI/fMRI and 719 PET scans from 356 participants.
• Data includes imaging from 97 young and 259 elderly individuals.
• All imaging data underwent an in-house pre-processing pipeline.

Conclusions:

• This dataset enables the study of brain deactivation and its relationship with cognitive tasks and functional networks.
• It facilitates the translation of neuroimaging findings into personalized medicine approaches.
• The resource is crucial for better characterizing and predicting individual pathologies in neuropsychiatric diseases.