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Morten L. Kringelbach

Neurowissenschaftler

Name	Morten L. Kringelbach
Zeit	2009 (Wirkungsdaten)
Ort	Großbritannien
Akademischer Grad bzw. Titel	Prof.
Beruf	Neurowissenschaftler (charakteristischer Beruf) Psychiater
Beziehung	University of Oxford Aarhus Universitet
Quelle	LCAuth
Datensatztyp	Person
GND-Nummer	139443126
Datensatz-ID	139443126
Beteiligt an alle anzeigen Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in major depressive disorder Age-related neural changes underlying long-term recognition of musical sequences Different hierarchical reconfigurations in the brain by psilocybin and escitalopram for depression Whole-brain modelling: an essential tool for understanding brain dynamics Spatiotemporal brain hierarchies of auditory memory recognition and predictive coding Navigating Pubertal Goldilocks: The Optimal Pace for Hierarchical Brain Organization Magnetoencephalography recordings reveal the spatiotemporal dynamics of recognition memory for complex versus simple auditory sequences Dynamical models to evaluate structure–function relationships in network neuroscience Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape Reply to ‘Towards a cross-cultural framework for predictive coding of music’ Metastable oscillatory modes emerge from synchronization in the brain spacetime connectome Unifying turbulent dynamics framework distinguishes different brain states The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states Unifying turbulent dynamics framework distinguishes different brain states Revisiting the global workspace orchestrating the hierarchical organization of the human brain Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness Unifying turbulent dynamics framework distinguishes different brain states Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals Awakening: Predicting external stimulation to force transitions between different brain states Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep

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Katalog der Deutschen Nationalbibliothek

Morten L. Kringelbach

Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness

Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in major depressive disorder

Age-related neural changes underlying long-term recognition of musical sequences

Different hierarchical reconfigurations in the brain by psilocybin and escitalopram for depression

Whole-brain modelling: an essential tool for understanding brain dynamics

Spatiotemporal brain hierarchies of auditory memory recognition and predictive coding

Navigating Pubertal Goldilocks: The Optimal Pace for Hierarchical Brain Organization

Magnetoencephalography recordings reveal the spatiotemporal dynamics of recognition memory for complex versus simple auditory sequences

Dynamical models to evaluate structure–function relationships in network neuroscience

Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape

Reply to ‘Towards a cross-cultural framework for predictive coding of music’

Metastable oscillatory modes emerge from synchronization in the brain spacetime connectome

Unifying turbulent dynamics framework distinguishes different brain states

The INSIDEOUT framework provides precise signatures of the balance of intrinsic and extrinsic dynamics in brain states

Unifying turbulent dynamics framework distinguishes different brain states

Revisiting the global workspace orchestrating the hierarchical organization of the human brain

Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep

Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness

Unifying turbulent dynamics framework distinguishes different brain states

Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness

Signature of consciousness in brain-wide synchronization patterns of monkey and human fMRI signals

Awakening: Predicting external stimulation to force transitions between different brain states

Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest

Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep