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  1. AU="Lord, Louis-David"
  2. AU="Cheng, Wei-Ting"
  3. AU="Cope, Nathan F"
  4. AU="Bonvin, Raphael"
  5. AU="Cinthya Enríquez"
  6. AU="John T Lear"
  7. AU="Rachidi, Saleh"
  8. AU="Baptista Serna, L" AU="Baptista Serna, L"
  9. AU=Fiandaca Massimo S
  10. AU="Belli, Sara"
  11. AU="Capogiri, Monica"
  12. AU="Al-Hattab, Eyad"
  13. AU="Hou, Tsung-Wei"
  14. AU="Meng, Ying Shirley"
  15. AU="Emanuele Rezoagli"
  16. AU="Verhagen, M A M T"
  17. AU="Haden, Kathleen"
  18. AU="Lee, Ju Yup"
  19. AU="Camilla Caimi"
  20. AU="Huynh, Nancy"
  21. AU="Sun, Weilin"
  22. AU="Whalon, Mark E."
  23. AU=Grishunin Kirill
  24. AU="Quaranta, Gianluigi"
  25. AU="Jitaroon, Kawinyarat"
  26. AU="Anderson, Eric C"
  27. AU="Thiyagarajan, Kamalraj"
  28. AU="Simnica, Donjetë"

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  1. Artikel ; Online: Altered dynamical integration/segregation balance during anesthesia-induced loss of consciousness.

    Lord, Louis-David / Carletti, Timoteo / Fernandes, Henrique / Turkheimer, Federico E / Expert, Paul

    Frontiers in network physiology

    2023  Band 3, Seite(n) 1279646

    Abstract: In recent years, brain imaging studies have begun to shed light on the neural correlates of physiologically-reversible altered states of consciousness such as deep sleep, anesthesia, and psychedelic experiences. The emerging consensus is that normal ... ...

    Abstract In recent years, brain imaging studies have begun to shed light on the neural correlates of physiologically-reversible altered states of consciousness such as deep sleep, anesthesia, and psychedelic experiences. The emerging consensus is that normal waking consciousness requires the exploration of a dynamical repertoire enabling both global integration i.e., long-distance interactions between brain regions, and segregation, i.e., local processing in functionally specialized clusters. Altered states of consciousness have notably been characterized by a tipping of the integration/segregation balance away from this equilibrium. Historically, functional MRI (fMRI) has been the modality of choice for such investigations. However, fMRI does not enable characterization of the integration/segregation balance at sub-second temporal resolution. Here, we investigated global brain spatiotemporal patterns in electrocorticography (ECoG) data of a monkey (
    Sprache Englisch
    Erscheinungsdatum 2023-12-05
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ISSN 2674-0109
    ISSN (online) 2674-0109
    DOI 10.3389/fnetp.2023.1279646
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  2. Artikel ; Online: Brain dynamics predictive of response to psilocybin for treatment-resistant depression.

    Vohryzek, Jakub / Cabral, Joana / Lord, Louis-David / Fernandes, Henrique M / Roseman, Leor / Nutt, David J / Carhart-Harris, Robin L / Deco, Gustavo / Kringelbach, Morten L

    Brain communications

    2024  Band 6, Heft 2, Seite(n) fcae049

    Abstract: Psilocybin therapy for depression has started to show promise, yet the underlying causal mechanisms are not currently known. Here, we leveraged the differential outcome in responders and non-responders to psilocybin (10 and 25 mg, 7 days apart) therapy ... ...

    Abstract Psilocybin therapy for depression has started to show promise, yet the underlying causal mechanisms are not currently known. Here, we leveraged the differential outcome in responders and non-responders to psilocybin (10 and 25 mg, 7 days apart) therapy for depression-to gain new insights into regions and networks implicated in the restoration of healthy brain dynamics. We used large-scale brain modelling to fit the spatiotemporal brain dynamics at rest in both responders and non-responders before treatment. Dynamic sensitivity analysis of systematic perturbation of these models enabled us to identify specific brain regions implicated in a transition from a depressive brain state to a healthy one. Binarizing the sample into treatment responders (>50% reduction in depressive symptoms) versus non-responders enabled us to identify a subset of regions implicated in this change. Interestingly, these regions correlate with
    Sprache Englisch
    Erscheinungsdatum 2024-02-15
    Erscheinungsland England
    Dokumenttyp Journal Article
    ISSN 2632-1297
    ISSN (online) 2632-1297
    DOI 10.1093/braincomms/fcae049
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  3. Artikel ; Online: Editorial: Topological Neuroscience.

    Expert, Paul / Lord, Louis-David / Kringelbach, Morten L / Petri, Giovanni

    Network neuroscience (Cambridge, Mass.)

    2019  Band 3, Heft 3, Seite(n) 653–655

    Abstract: Topology, in its many forms, describes relations. It has thus long been a central concept in neuroscience, capturing structural and functional aspects of the organization of the nervous system and their links to cognition. Recent advances in ... ...

    Abstract Topology, in its many forms, describes relations. It has thus long been a central concept in neuroscience, capturing structural and functional aspects of the organization of the nervous system and their links to cognition. Recent advances in computational topology have extended the breadth and depth of topological descriptions. This Focus Feature offers a unified overview of the emerging field of topological neuroscience and of its applications across the many scales of the nervous system from macro-, over meso-, to microscales.
    Sprache Englisch
    Erscheinungsdatum 2019-07-01
    Erscheinungsland United States
    Dokumenttyp Editorial
    ISSN 2472-1751
    ISSN (online) 2472-1751
    DOI 10.1162/netn_e_00096
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  4. Artikel ; Online: A Complex Systems Perspective on Neuroimaging Studies of Behavior and Its Disorders.

    Turkheimer, Federico E / Rosas, Fernando E / Dipasquale, Ottavia / Martins, Daniel / Fagerholm, Erik D / Expert, Paul / Váša, František / Lord, Louis-David / Leech, Robert

    The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry

    2021  Band 28, Heft 4, Seite(n) 382–399

    Abstract: The study of complex systems deals with emergent behavior that arises as a result of nonlinear spatiotemporal interactions between a large number of components both within the system, as well as between the system and its environment. There is a strong ... ...

    Abstract The study of complex systems deals with emergent behavior that arises as a result of nonlinear spatiotemporal interactions between a large number of components both within the system, as well as between the system and its environment. There is a strong case to be made that neural systems as well as their emergent behavior and disorders can be studied within the framework of complexity science. In particular, the field of neuroimaging has begun to apply both theoretical and experimental procedures originating in complexity science-usually in parallel with traditional methodologies. Here, we illustrate the basic properties that characterize complex systems and evaluate how they relate to what we have learned about brain structure and function from neuroimaging experiments. We then argue in favor of adopting a complex systems-based methodology in the study of neuroimaging, alongside appropriate experimental paradigms, and with minimal influences from noncomplex system approaches. Our exposition includes a review of the fundamental mathematical concepts, combined with practical examples and a compilation of results from the literature.
    Mesh-Begriff(e) Brain/diagnostic imaging ; Humans ; Neuroimaging/methods
    Sprache Englisch
    Erscheinungsdatum 2021-02-16
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Review
    ZDB-ID 1233753-5
    ISSN 1089-4098 ; 1073-8584
    ISSN (online) 1089-4098
    ISSN 1073-8584
    DOI 10.1177/1073858421994784
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  5. Artikel ; Online: Plastic Adaptation to Pathology in Psychiatry: Are Patients with Psychiatric Disorders Pathological Experts?

    Amad, Ali / Expert, Paul / Lord, Louis-David / Fovet, Thomas / Geoffroy, Pierre A

    The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry

    2019  Band 26, Heft 3, Seite(n) 208–223

    Abstract: Psychiatric disorders share the same pattern of longitudinal evolution and have courses that tend to be chronic and recurrent. These aspects of chronicity and longitudinal evolution are currently studied under the deficit-oriented neuroprogression ... ...

    Abstract Psychiatric disorders share the same pattern of longitudinal evolution and have courses that tend to be chronic and recurrent. These aspects of chronicity and longitudinal evolution are currently studied under the deficit-oriented neuroprogression framework. Interestingly, considering the plasticity of the brain, it is also necessary to emphasize the bidirectional nature of neuroprogression. We review evidence highlighting alterations of the brain associated with the longitudinal evolution of psychiatric disorders from the framework of neuroplastic adaptation to pathology. This new framework highlights that substantial plasticity and remodeling may occur beyond the classic deficit-oriented neuroprogressive framework, which has been associated with progressive loss of gray matter thickness, decreased brain connectivity, and chronic inflammation. We also integrate the brain economy concept in the neuroplastic adaptation to pathology framework, emphasizing that to preserve its economy, i.e. function, the brain learns how to cope with the disease by adapting its architecture. Neuroplastic adaptation to pathology is a proposition for a paradigm shift to overcome the shortcomings of traditional psychiatric diagnostic boundaries; this approach can disentangle both the specific pathophysiology of psychiatric symptoms and the adaptation to pathology, thus offering a new framework for both diagnosis and treatment.
    Mesh-Begriff(e) Adaptation, Physiological/physiology ; Brain Diseases/pathology ; Brain Diseases/physiopathology ; Disease Progression ; Humans ; Mental Disorders/pathology ; Mental Disorders/physiopathology ; Neuronal Plasticity/physiology
    Sprache Englisch
    Erscheinungsdatum 2019-08-05
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Review
    ZDB-ID 1233753-5
    ISSN 1089-4098 ; 1073-8584
    ISSN (online) 1089-4098
    ISSN 1073-8584
    DOI 10.1177/1073858419867083
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  6. Artikel: Understanding principles of integration and segregation using whole-brain computational connectomics: implications for neuropsychiatric disorders.

    Lord, Louis-David / Stevner, Angus B / Deco, Gustavo / Kringelbach, Morten L

    Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

    2017  Band 375, Heft 2096

    Abstract: To survive in an ever-changing environment, the brain must seamlessly integrate a rich stream of incoming information into coherent internal representations that can then be used to efficiently plan for action. The brain must, however, balance its ... ...

    Abstract To survive in an ever-changing environment, the brain must seamlessly integrate a rich stream of incoming information into coherent internal representations that can then be used to efficiently plan for action. The brain must, however, balance its ability to
    Mesh-Begriff(e) Brain/pathology ; Brain/physiopathology ; Computer Simulation ; Connectome/methods ; Diffusion Tensor Imaging/methods ; Humans ; Mental Disorders/pathology ; Mental Disorders/physiopathology ; Models, Neurological ; Nerve Net/pathology ; Nerve Net/physiopathology
    Sprache Englisch
    Erscheinungsdatum 2017-05-15
    Erscheinungsland England
    Dokumenttyp Journal Article ; Review
    ZDB-ID 208381-4
    ISSN 1471-2962 ; 1364-503X ; 0080-4614 ; 0264-3820 ; 0264-3952
    ISSN (online) 1471-2962
    ISSN 1364-503X ; 0080-4614 ; 0264-3820 ; 0264-3952
    DOI 10.1098/rsta.2016.0283
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  7. Artikel ; Online: Understanding human original actions directed at real-world goals: the role of the lateral prefrontal cortex.

    Sitnikova, Tatiana / Rosen, Bruce R / Lord, Louis-David / West, W Caroline

    NeuroImage

    2014  Band 103, Seite(n) 91–105

    Abstract: Adaptive, original actions, which can succeed in multiple contextual situations, require understanding of what is relevant to a goal. Recognizing what is relevant may also help in predicting kinematics of observed, original actions. During action ... ...

    Abstract Adaptive, original actions, which can succeed in multiple contextual situations, require understanding of what is relevant to a goal. Recognizing what is relevant may also help in predicting kinematics of observed, original actions. During action observation, comparisons between sensory input and expected action kinematics have been argued critical to accurate goal inference. Experimental studies with laboratory tasks, both in humans and nonhuman primates, demonstrated that the lateral prefrontal cortex (LPFC) can learn, hierarchically organize, and use goal-relevant information. To determine whether this LPFC capacity is generalizable to real-world cognition, we recorded functional magnetic resonance imaging (fMRI) data in the human brain during comprehension of original and usual object-directed actions embedded in video-depictions of real-life behaviors. We hypothesized that LPFC will contribute to forming goal-relevant representations necessary for kinematic predictions of original actions. Additionally, resting-state fMRI was employed to examine functional connectivity between the brain regions delineated in the video fMRI experiment. According to behavioral data, original videos could be understood by identifying elements relevant to real-life goals at different levels of abstraction. Patterns of enhanced activity in four regions in the left LPFC, evoked by original, relative to usual, video scenes, were consistent with previous neuroimaging findings on representing abstract and concrete stimuli dimensions relevant to laboratory goals. In the anterior left LPFC, the activity increased selectively when representations of broad classes of objects and actions, which could achieve the perceived overall behavioral goal, were likely to bias kinematic predictions of original actions. In contrast, in the more posterior regions, the activity increased even when concrete properties of the target object were more likely to bias the kinematic prediction. Functional connectivity was observed between contiguous regions along the rostro-caudal LPFC axis, but not between the regions that were not immediately adjacent. These findings generalize the representational hierarchy account of LPFC function to diverse core principles that can govern both production and comprehension of flexible real-life behavior.
    Mesh-Begriff(e) Adult ; Brain Mapping ; Comprehension/physiology ; Female ; Goals ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Male ; Prefrontal Cortex/physiology ; Young Adult
    Sprache Englisch
    Erscheinungsdatum 2014-09-16
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2014.09.012
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  8. Artikel ; Online: Cerebral energy metabolism and the brain's functional network architecture: an integrative review.

    Lord, Louis-David / Expert, Paul / Huckins, Jeremy F / Turkheimer, Federico E

    Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism

    2013  Band 33, Heft 9, Seite(n) 1347–1354

    Abstract: Recent functional magnetic resonance imaging (fMRI) studies have emphasized the contributions of synchronized activity in distributed brain networks to cognitive processes in both health and disease. The brain's 'functional connectivity' is typically ... ...

    Abstract Recent functional magnetic resonance imaging (fMRI) studies have emphasized the contributions of synchronized activity in distributed brain networks to cognitive processes in both health and disease. The brain's 'functional connectivity' is typically estimated from correlations in the activity time series of anatomically remote areas, and postulated to reflect information flow between neuronal populations. Although the topological properties of functional brain networks have been studied extensively, considerably less is known regarding the neurophysiological and biochemical factors underlying the temporal coordination of large neuronal ensembles. In this review, we highlight the critical contributions of high-frequency electrical oscillations in the γ-band (30 to 100 Hz) to the emergence of functional brain networks. After describing the neurobiological substrates of γ-band dynamics, we specifically discuss the elevated energy requirements of high-frequency neural oscillations, which represent a mechanistic link between the functional connectivity of brain regions and their respective metabolic demands. Experimental evidence is presented for the high oxygen and glucose consumption, and strong mitochondrial performance required to support rhythmic cortical activity in the γ-band. Finally, the implications of mitochondrial impairments and deficits in glucose metabolism for cognition and behavior are discussed in the context of neuropsychiatric and neurodegenerative syndromes characterized by large-scale changes in the organization of functional brain networks.
    Mesh-Begriff(e) Animals ; Biological Clocks/physiology ; Brain/metabolism ; Energy Metabolism/physiology ; Glucose/metabolism ; Humans ; Nerve Net/metabolism ; Neurodegenerative Diseases/metabolism ; Neurodegenerative Diseases/physiopathology ; Oxygen/metabolism
    Chemische Substanzen Glucose (IY9XDZ35W2) ; Oxygen (S88TT14065)
    Sprache Englisch
    Erscheinungsdatum 2013-06-12
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 604628-9
    ISSN 1559-7016 ; 0271-678X
    ISSN (online) 1559-7016
    ISSN 0271-678X
    DOI 10.1038/jcbfm.2013.94
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  9. Artikel ; Online: The brain's code and its canonical computational motifs. From sensory cortex to the default mode network: A multi-scale model of brain function in health and disease.

    Turkheimer, Federico E / Leech, Robert / Expert, Paul / Lord, Louis-David / Vernon, Anthony C

    Neuroscience and biobehavioral reviews

    2015  Band 55, Seite(n) 211–222

    Abstract: A variety of anatomical and physiological evidence suggests that the brain performs computations using motifs that are repeated across species, brain areas, and modalities. The computational architecture of cortex, for example, is very similar from one ... ...

    Abstract A variety of anatomical and physiological evidence suggests that the brain performs computations using motifs that are repeated across species, brain areas, and modalities. The computational architecture of cortex, for example, is very similar from one area to another and the types, arrangements, and connections of cortical neurons are highly stereotyped. This supports the idea that each cortical area conducts calculations using similarly structured neuronal modules: what we term canonical computational motifs. In addition, the remarkable self-similarity of the brain observables at the micro-, meso- and macro-scale further suggests that these motifs are repeated at increasing spatial and temporal scales supporting brain activity from primary motor and sensory processing to higher-level behaviour and cognition. Here, we briefly review the biological bases of canonical brain circuits and the role of inhibitory interneurons in these computational elements. We then elucidate how canonical computational motifs can be repeated across spatial and temporal scales to build a multiplexing information system able to encode and transmit information of increasing complexity. We point to the similarities between the patterns of activation observed in primary sensory cortices by use of electrophysiology and those observed in large scale networks measured with fMRI. We then employ the canonical model of brain function to unify seemingly disparate evidence on the pathophysiology of schizophrenia in a single explanatory framework. We hypothesise that such a framework may also be extended to cover multiple brain disorders which are grounded in dysfunction of GABA interneurons and/or these computational motifs.
    Mesh-Begriff(e) Animals ; Brain Mapping ; Computer Simulation ; Humans ; Models, Neurological ; Neural Pathways/physiology ; Neurons/pathology ; Schizophrenia/pathology ; Somatosensory Cortex/physiology
    Sprache Englisch
    Erscheinungsdatum 2015-08
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 282464-4
    ISSN 1873-7528 ; 0149-7634
    ISSN (online) 1873-7528
    ISSN 0149-7634
    DOI 10.1016/j.neubiorev.2015.04.014
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  10. Artikel ; Online: Disrupted brain structural connectivity in Pediatric Bipolar Disorder with psychosis.

    Fernandes, Henrique M / Cabral, Joana / van Hartevelt, Tim J / Lord, Louis-David / Gleesborg, Carsten / Møller, Arne / Deco, Gustavo / Whybrow, Peter C / Petrovic, Predrag / James, Anthony C / Kringelbach, Morten L

    Scientific reports

    2019  Band 9, Heft 1, Seite(n) 13638

    Abstract: Bipolar disorder (BD) has been linked to disrupted structural and functional connectivity between prefrontal networks and limbic brain regions. Studies of patients with pediatric bipolar disorder (PBD) can help elucidate the developmental origins of ... ...

    Abstract Bipolar disorder (BD) has been linked to disrupted structural and functional connectivity between prefrontal networks and limbic brain regions. Studies of patients with pediatric bipolar disorder (PBD) can help elucidate the developmental origins of altered structural connectivity underlying BD and provide novel insights into the aetiology of BD. Here we compare the network properties of whole-brain structural connectomes of euthymic PBD patients with psychosis, a variant of PBD, and matched healthy controls. Our results show widespread changes in the structural connectivity of PBD patients with psychosis in both cortical and subcortical networks, notably affecting the orbitofrontal cortex, frontal gyrus, amygdala, hippocampus and basal ganglia. Graph theoretical analysis revealed that PBD connectomes have fewer hubs, weaker rich club organization, different modular fingerprint and inter-modular communication, compared to healthy participants. The relationship between network features and neurocognitive and psychotic scores was also assessed, revealing trends of association between patients' IQ and affective psychotic symptoms with the local efficiency of the orbitofrontal cortex. Our findings reveal that PBD with psychosis is associated with significant widespread changes in structural network topology, thus strengthening the hypothesis of a reduced capacity for integrative processing of information across brain regions. Localised network changes involve core regions for emotional processing and regulation, as well as memory and executive function, some of which show trends of association with neurocognitive faculties and symptoms. Together, our findings provide the first comprehensive characterisation of the alterations in local and global structural brain connectivity and network topology, which may contribute to the deficits in cognition and emotion processing and regulation found in PBD.
    Mesh-Begriff(e) Adolescent ; Amygdala/pathology ; Amygdala/physiopathology ; Basal Ganglia/pathology ; Basal Ganglia/physiopathology ; Bipolar Disorder/pathology ; Bipolar Disorder/physiopathology ; Bipolar Disorder/psychology ; Brain/pathology ; Brain/physiopathology ; Case-Control Studies ; Child ; Connectome/methods ; Diffusion Magnetic Resonance Imaging/methods ; Female ; Hippocampus/pathology ; Hippocampus/physiopathology ; Humans ; Male ; Prefrontal Cortex/pathology ; Prefrontal Cortex/physiopathology
    Sprache Englisch
    Erscheinungsdatum 2019-09-20
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-019-50093-4
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