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During recovery from hypoxia, cortical activity exhibits a period of highly irregular electrical fluctuations known as burst suppression. Here we show that these bursts have fractal properties, with power-law scaling of burst sizes across a remarkable 5 orders of magnitude and a scale-free relationship between burst sizes and durations. Although burst waveforms vary greatly, their average shape converges to a simple form that is asymmetric at long time scales. Using a simple computational model, we argue that this asymmetry reflects activity-dependent changes in the excitatory\u2013inhibitory balance of cortical neurons. Bursts become more symmetric following the resumption of normal activity, with a corresponding reorganization of burst scaling relationships. These findings place burst suppression in the broad class of scale-free physical processes termed crackling noise and suggest that the resumption of healthy activity reflects a fundamental reorganization in the relationship between neuronal activity and its underlying metabolic constraints.<\/jats:p>","DOI":"10.1523\/jneurosci.4701-13.2014","type":"journal-article","created":{"date-parts":[[2014,5,7]],"date-time":"2014-05-07T17:38:19Z","timestamp":1399484299000},"page":"6557-6572","source":"Crossref","is-referenced-by-count":68,"title":["Scale-Free Bursting in Human Cortex following Hypoxia at Birth"],"prefix":"10.1523","volume":"34","author":[{"given":"James A.","family":"Roberts","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kartik 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