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SUMMARY:Poster Flash Talks Group A: Selective Frequency Control  of the Wh
 ole-Brain Kuramoto Network - Wael El-deredy (Universitat de València)
DTSTART:20251202T150500Z
DTEND:20251202T151000Z
UID:TALK241105@talks.cam.ac.uk
DESCRIPTION:Non-invasive brain stimulation offers a promising route for mo
 dulating large-scale neural dynamics in conditions such as frontotemporal 
 dementia\, Alzheimer&rsquo\;s disease\, mild cognitive impairment and obse
 ssive&ndash\;compulsive disorder. Yet fundamental stimulation parameters&m
 dash\;where\, when\, for how long\, and at which frequency&mdash\;remain p
 oorly defined and highly subject-specific. We view the brain as a multista
 te\, metastable dynamical system that continually transitions between quas
 istable attractors. From this perspective\, neurorehabilitation becomes a 
 problem of reshaping the system&rsquo\;s dynamical landscape: guiding acti
 vity toward favourable attractor states and re-establishing the flexible r
 epertoire that underlies healthy function.\nTo formalise and quantify this
  principle\, we develop a control-theoretic framework for regulating the e
 mergent frequency of a whole-brain Kuramoto network constructed from empir
 ical structural connectivity. Using linear&ndash\;quadratic control applie
 d to the linearised system\, together with phase&ndash\;frequency analysis
 \, we derive optimal control signals capable of steering the network towar
 d a desired collective frequency. We show that the dominant attractor depe
 nds jointly on intrinsic regional frequencies and on global network parame
 ters such as coupling strength and network size. Our results reveal a clea
 r force&ndash\;duration tradeoff\, demonstrate that stimulation aligned wi
 th intrinsic network resonances minimises control energy\, and identify to
 pological constraints that determine which dynamical regimes are attainabl
 e.\nTogether\, these findings provide a principled basis for designing per
 sonalised neuromodulation strategies. By linking stimulation parameters to
  the underlying physics of whole-brain dynamics\, our framework moves beyo
 nd restoring a single &ldquo\;normal&rdquo\; pattern and instead supports 
 the recovery of a healthy\, adaptable repertoire of brain states.
LOCATION:Seminar Room 1\, Newton Institute
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