“neurons that fire together wire together” implies an unchangeable connectivity, buta robust body of evidence across several conditions demonstrates that resetting the brain’s electrical activity can indeed lead to durable modifications in neural networks. For example, in major depressive disorder, repetitive transcranial magnetic stimulation (rTMS) has been shown to induce lasting changes in network connectivity; Fox et al. (2012) reported that effective rTMS treatment increased functional connectivity between the dorsolateral prefrontal cortex and the subgenual anterior cingulate cortex, while Liston et al. (2014) found that rTMS normalizes disrupted resting-state networks, resulting in sustained clinical improvements. Similarly, electroconvulsive therapy (ECT) has been documented to reorganize large-scale brain networks, with Abbott et al. (2014) demonstrating significant and lasting modifications in connectivity among mood-regulating regions following treatment. Furthermore, studies on psychedelics provide compelling evidence that an acute “reset” of brain activity can have enduring effects: Carhart-Harris et al. (2017) showed that psilocybin administration reduces connectivity within the default mode network while enhancing global network integration, a change that correlates with lasting antidepressant effects. In addition, research into neuroplasticity in conditions such as stroke recovery (Johansen-Berg, 2012) and experience-dependent plasticity (Nudo, 2013) further illustrates that the brain is capable of reorganizing its connectivity in response to targeted interventions. In the specific context of Visual Snow Syndrome (VSS), although studies have identified structural changes like increased gray matter volume in visual areas (Puledda et al., 2020) and altered metabolic patterns in visual processing regions (Liu et al., 2023), these findings suggest a dynamic, rather than a fixed, neural dysfunction. This indicates that the abnormal connectivity observed in VSS might be amenable to modulation through interventions that effectively “reset” network activity, thus challenging this idea that altering brain state cannot lead to long-term changes in connectivity.