Work

The Human Connectome Phantom (HCPh) dataset

Year: 2024

Type: preprint

Abstract: Network-based approaches are widely adopted to model functional and structural ‘connectivity’ of the living brain, extracted noninvasively with magnetic resonance imaging (MRI). However, these analyses —on functional and structural networks— render unreliable at the finer temporal, spatial, and brain-parcellation scales. Here, we introduce the Human Connectome PHantom (HCPh) dataset as part of our recent Stage 1 Registered Report1 (Fig. 1).

DOI: 10.31219/osf.io/27zfw

Authors: Oscar Esteban, Céline Provins, Alexandre Cionca

Language: English

Topic: Functional Brain Connectivity Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4404415785

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