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1,761 claims from 1,082 papers are on the record. 46 have been checked so far; the other 1,715 have no check with a result yet.

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Status: Unchecked ×Keyword: Human Connectome Project ×Clear all

5 claims from 3 papers

1. Neuroscience › Functional Brain Connectivity Studies

   Time-resolved resting-state brain networks

   Zalesky, Fornito, Cocchi, Gollo and Breakspear · Proceedings of the National Academy of Sciences · 2014

   Brain networks mapped with fMRI have usually been studied as time averages; the paper argues this oversimplifies, since connectivity fluctuates over time and may save metabolic energy while keeping the brain responsive.

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   1. UncheckedResting brain activity between many pairs of distant regions drifts in and out of correlation together, creating brief intervals of efficient information exchange.“We demonstrate that brain activity between multiple pairs of spatially distributed regions spontaneously fluctuates in and out of correlation over time in a globally coordinated manner, giving rise to sporadic intervals during which information can be efficiently exchanged between neuronal populati…”
   2. UncheckedThe authors argue that shifting brain-network organisation over time may cut metabolic costs while keeping the brain ready to respond.“We argue that dynamic fluctuations in the brain’s organizational properties may minimize metabolic requirements while maintaining the brain in a responsive state.”

2. Neuroscience › Functional Brain Connectivity Studies

   Global Signal Regression Strengthens Association between Resting-State Functional Connectivity and Behavior

   Li, Kong, Liégeois et al. · NeuroImage · 2019

   The study tested whether global signal regression, a debated fMRI clean-up step, strengthens links between resting-state brain connectivity and behaviour, finding that it did for most measures in young healthy adults.

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   1. Unchecked“By applying the variance component model to the Brain Genomics Superstruct Project (GSP), we found that behavioral variance explained by whole-brain RSFC increased by an average of 47% across 23 behavioral measures after GSR.”
   2. UncheckedGlobal signal regression raised behavioural prediction accuracy from brain connectivity by an average of 64% in the GSP data and 12% in the HCP data.“GSR improved behavioral prediction accuracies by an average of 64% and 12% in the GSP and HCP datasets respectively.”

3. Neuroscience › Functional Brain Connectivity Studies

   The Human Connectome Project: A retrospective

   Elam, Glasser, Harms et al. · NeuroImage · 2021

   A retrospective on the Human Connectome Project's WU-Minn-Ox consortium: its goals, its methods and data sharing, the scientific advances from its data, and the challenges ahead for human neuroimaging.

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   1. UncheckedThe Human Connectome Project's methods have become a recognised set of best-practice strategies for collecting and analysing brain imaging data.“The "HCP-style" neuroimaging paradigm has emerged as a set of best-practice strategies for optimizing data acquisition and analysis.”