Instruct: Identify the main category of Biorxiv papers based on the titles and abstracts
Query: Spatial and temporal autocorrelation weave human brain networks High-throughput experimental methods in neuroscience have led to an explosion of techniques for measuring complex interactions and multi-dimensional patterns. However, whether sophisticated measures of emergent phenomena can be traced back to simpler low-dimensional statistics is largely unknown. To explore this question, we examine resting state fMRI (rs-fMRI) data using complex topology measures from network neuroscience. We show that spatial and temporal autocorrelation are reliable statistics which explain numerous measures of network topology. Surrogate timeseries with subject-matched spatial and temporal autocorrelation capture nearly all reliable individual and regional variation in these topology measures. Network topology changes during aging are driven by spatial autocorrelation, and multiple serotonergic drugs causally induce the same topographic change in temporal autocorrelation. This reductionistic interpretation of widely-used complexity measures may help link them to neurobiology.
28
The categories of this paper are: communication
20
The categories of this paper are: pharmacology
19
The categories of this paper are: epidemiology
26
The categories of this paper are: biochemistry
24
The categories of this paper are: cancer
2
The categories of this paper are: biology
5
The categories of this paper are: cell
0
The categories of this paper are: genetics
18
The categories of this paper are: systems
21
The categories of this paper are: toxicology
9
The categories of this paper are: synthetic
8
The categories of this paper are: genomics
16
The categories of this paper are: microbiology
10
The categories of this paper are: and
6
The categories of this paper are: plant
30
The categories of this paper are: scientific