{"ID":3083656,"CreatedAt":"2026-06-05T06:46:15.197025399Z","UpdatedAt":"2026-06-07T03:54:17.966829144Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2606.06290","arxiv_id":"2606.06290","title":"Early psychosis shows deviations in scaling behaviour within a critical regime","abstract":"Accumulating evidence suggests that large-scale brain activity exhibits scale-invariant dynamics consistent with operation in a near-critical regime. Such dynamics have been associated with long-range correlations, efficient information processing, and the emergence of collective organization. While altered criticality-related measures have been reported in psychiatric disorders, previous findings remain fragmented across observables and modalities, making it unclear whether different scaling measures capture a common alteration of large-scale brain dynamics. Here, we investigated scaling properties in resting-state fMRI data from individuals with early psychosis and healthy controls. We combined a phenomenological renormalization group (PRG) framework with power spectral density (PSD) and detrended fluctuation analysis (DFA) to characterize collective dynamics across scales. In healthy controls, resting-state activity exhibited non-trivial scaling behavior consistent with critical-like organization. Early psychosis participants showed the same overall phenomenology of scale-invariant organization, but with systematic shifts in scaling exponents across multiple observables. These findings indicate that early psychosis is not characterized by a simple loss of critical-like dynamics, but rather by a reorganization of collective dynamics within a preserved scaling regime. More broadly, our results suggest that combining coarse-graining approaches with temporal scaling analyses provides a principled framework for studying large-scale brain dynamics in psychiatric disorders.","short_abstract":"Accumulating evidence suggests that large-scale brain activity exhibits scale-invariant dynamics consistent with operation in a near-critical regime. Such dynamics have been associated with long-range correlations, efficient information processing, and the emergence of collective organization. While altered criticality...","url_abs":"https://arxiv.org/abs/2606.06290","url_pdf":"https://arxiv.org/pdf/2606.06290v1","authors":"[\"Irem Topal\",\"Paola Moreno Ancalmo\",\"Guillermo Montana Valverde\",\"Philipp Homan\",\"Wolfram Hinzen\"]","published":"2026-06-04T15:28:58Z","proceeding":"q-bio.NC","tasks":"[\"q-bio.NC\",\"cond-mat.stat-mech\"]","methods":"[\"Generative Adversarial Network\"]","has_code":false}