@article {68674,
	title = {Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena.},
	journal = {Cell Reports},
	volume = {42},
	year = {2023},
	month = {2023 Mar 24},
	pages = {112254},
	abstract = {<p>Much of systems neuroscience posits the functional importance of brain activity patterns that lack natural scales of sizes, durations, or frequencies. The field has developed prominent, and sometimes competing, explanations for the nature of this scale-free activity. Here, we reconcile these explanations across species and modalities. First, we link estimates of excitation-inhibition (E-I) balance with time-resolved correlation of distributed brain activity. Second, we develop an unbiased method for sampling time series constrained by this time-resolved correlation. Third, we use this method to show that estimates of E-I balance account for diverse scale-free phenomena without need to attribute additional function or importance to these phenomena. Collectively, our results simplify existing explanations of scale-free brain activity and provide stringent tests on future theories that seek to transcend these explanations.</p>
},
	issn = {2211-1247},
	doi = {10.1016/j.celrep.2023.112254},
	author = {Nanda, Aditya and Johnson, Graham W and Mu, Yu and Ahrens, Misha B and Chang, Catie and Englot, Dario J and Breakspear, Michael and Rubinov, Mikail}
}
