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Brain states in health and disease: insights from neuroimaging and theoretical neuroscience

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Title: Brain states in health and disease: insights from neuroimaging and theoretical neuroscience
Authors: Escrichs, Anira
Contributors: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions
Thesis Advisors: Deco, Gustavo
Source: TDX (Tesis Doctorals en Xarxa)
Publisher Information: Universitat Pompeu Fabra, 2022.
Publication Year: 2022
Physical Description: 111 p.
Subject Terms: Resting-state fMRI, Dynamical complexity, Turbulence, Whole-brain computational modelling, In silico perturbations, Brain dynamics, Brain states, Ageing, Meditation, Sleep, Disorders of consciousness, IRMf en estat de repòs, Complexitat dinàmica, Turbulència, Models computacionals a gran escala, Pertorbacions in silico, Estats cerebrals, Envelliment, Son, Meditació, Trastorns de la consciència
Description: Spontaneous brain activity persists and transitions between brain states, such as from wakefulness to sleep, from development to ageing, or it may transition to pathological states such as coma. Nevertheless, a consensual definition of brain state remains elusive, and the best way of measuring its dynamical complexity is unknown. Here, we propose whole-brain computational frameworks combined with neuroimaging data to characterize brain states in health and disease. We show that such states exhibit unique complex dynamics across spacetime scales. Furthermore, we show that whole-brain models can be fitted to such states to study in silico the capacity of brain areas to promote a transition, e.g., from disease to health. Finally, we show that perturbations of this model can measure the brain’s reactivity in different conscious and unconscious states. In the long term, these methods may open new ways for clinical interventions to rebalance brain disorders.
Description (Translated): L’activitat cerebral espont`ània persisteix i transiciona entre estats cerebrals, com ara de la vigília al son, del desenvolupament a l’envelliment, o pot transicionar a estats patològics com el coma. Tanmateix, una definición consensuada d’estat cerebral segueix sent esquiva, i es desconeix la millor manera de mesurar la seva complexitat dinàmica. Aquí, proposem marcs computacionals de tot el cervell per caracteritzar estats cerebrals en la salut i la malaltia. Mostrem que aquests estats presenten dinàmiques complexes úniques a través d’escales espacio-temporals. Addicionalment, ajustem models de tot el cervell als estats cerebrals per estudiar in silico la capacitat de les àrees cerebrals per promoure una transició, per exemple, de la malaltia a la salut. Finalment, mostrem que les pertorbacions d’aquest model poden mesurar la reactivitat del cervell en estats conscients i inconscients. A llarg termini, aquests mètodes poden obrir noves vies per reequilibrar els transtorns cerebrals.
Programa de doctorat en Tecnologies de la Informació i les Comunicacions
Document Type: Dissertation/Thesis
File Description: application/pdf
Language: English
Access URL: http://hdl.handle.net/10803/687532
Rights: L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/4.0/
Accession Number: edstdx.10803.687532
Database: TDX
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  – Url: http://hdl.handle.net/10803/687532#
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  Data: Brain states in health and disease: insights from neuroimaging and theoretical neuroscience
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  Data: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions
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  Data: Deco, Gustavo
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  Data: 111 p.
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  Data: <searchLink fieldCode="DE" term="%22Resting-state+fMRI%22">Resting-state fMRI</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamical+complexity%22">Dynamical complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Turbulence%22">Turbulence</searchLink><br /><searchLink fieldCode="DE" term="%22Whole-brain+computational+modelling%22">Whole-brain computational modelling</searchLink><br /><searchLink fieldCode="DE" term="%22In+silico+perturbations%22">In silico perturbations</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+dynamics%22">Brain dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+states%22">Brain states</searchLink><br /><searchLink fieldCode="DE" term="%22Ageing%22">Ageing</searchLink><br /><searchLink fieldCode="DE" term="%22Meditation%22">Meditation</searchLink><br /><searchLink fieldCode="DE" term="%22Sleep%22">Sleep</searchLink><br /><searchLink fieldCode="DE" term="%22Disorders+of+consciousness%22">Disorders of consciousness</searchLink><br /><searchLink fieldCode="DE" term="%22IRMf+en+estat+de+repòs%22">IRMf en estat de repòs</searchLink><br /><searchLink fieldCode="DE" term="%22Complexitat+dinàmica%22">Complexitat dinàmica</searchLink><br /><searchLink fieldCode="DE" term="%22Turbulència%22">Turbulència</searchLink><br /><searchLink fieldCode="DE" term="%22Models+computacionals+a+gran+escala%22">Models computacionals a gran escala</searchLink><br /><searchLink fieldCode="DE" term="%22Pertorbacions+in+silico%22">Pertorbacions in silico</searchLink><br /><searchLink fieldCode="DE" term="%22Estats+cerebrals%22">Estats cerebrals</searchLink><br /><searchLink fieldCode="DE" term="%22Envelliment%22">Envelliment</searchLink><br /><searchLink fieldCode="DE" term="%22Son%22">Son</searchLink><br /><searchLink fieldCode="DE" term="%22Meditació%22">Meditació</searchLink><br /><searchLink fieldCode="DE" term="%22Trastorns+de+la+consciència%22">Trastorns de la consciència</searchLink>
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  Data: Spontaneous brain activity persists and transitions between brain states, such as from wakefulness to sleep, from development to ageing, or it may transition to pathological states such as coma. Nevertheless, a consensual definition of brain state remains elusive, and the best way of measuring its dynamical complexity is unknown. Here, we propose whole-brain computational frameworks combined with neuroimaging data to characterize brain states in health and disease. We show that such states exhibit unique complex dynamics across spacetime scales. Furthermore, we show that whole-brain models can be fitted to such states to study in silico the capacity of brain areas to promote a transition, e.g., from disease to health. Finally, we show that perturbations of this model can measure the brain’s reactivity in different conscious and unconscious states. In the long term, these methods may open new ways for clinical interventions to rebalance brain disorders.
– Name: Abstract
  Label: Description (Translated)
  Group: Ab
  Data: L’activitat cerebral espont`ània persisteix i transiciona entre estats cerebrals, com ara de la vigília al son, del desenvolupament a l’envelliment, o pot transicionar a estats patològics com el coma. Tanmateix, una definición consensuada d’estat cerebral segueix sent esquiva, i es desconeix la millor manera de mesurar la seva complexitat dinàmica. Aquí, proposem marcs computacionals de tot el cervell per caracteritzar estats cerebrals en la salut i la malaltia. Mostrem que aquests estats presenten dinàmiques complexes úniques a través d’escales espacio-temporals. Addicionalment, ajustem models de tot el cervell als estats cerebrals per estudiar in silico la capacitat de les àrees cerebrals per promoure una transició, per exemple, de la malaltia a la salut. Finalment, mostrem que les pertorbacions d’aquest model poden mesurar la reactivitat del cervell en estats conscients i inconscients. A llarg termini, aquests mètodes poden obrir noves vies per reequilibrar els transtorns cerebrals.<br />Programa de doctorat en Tecnologies de la Informació i les Comunicacions
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  Data: L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/4.0/
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      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 111
    Subjects:
      – SubjectFull: Resting-state fMRI
        Type: general
      – SubjectFull: Dynamical complexity
        Type: general
      – SubjectFull: Turbulence
        Type: general
      – SubjectFull: Whole-brain computational modelling
        Type: general
      – SubjectFull: In silico perturbations
        Type: general
      – SubjectFull: Brain dynamics
        Type: general
      – SubjectFull: Brain states
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      – SubjectFull: Ageing
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      – SubjectFull: Meditation
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      – SubjectFull: Sleep
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      – SubjectFull: Disorders of consciousness
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      – SubjectFull: IRMf en estat de repòs
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      – SubjectFull: Complexitat dinàmica
        Type: general
      – SubjectFull: Turbulència
        Type: general
      – SubjectFull: Models computacionals a gran escala
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      – SubjectFull: Pertorbacions in silico
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      – SubjectFull: Estats cerebrals
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      – SubjectFull: Envelliment
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      – SubjectFull: Meditació
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      – SubjectFull: Trastorns de la consciència
        Type: general
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      – TitleFull: Brain states in health and disease: insights from neuroimaging and theoretical neuroscience
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              Type: published
              Y: 2022
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