1,466 results match your criteria: "Wellcome Trust Centre for Neuroimaging[Affiliation]"

The paradox of the self-studying brain.

Phys Life Rev

January 2025

Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, UK; VERSES AI Research Lab, Los Angeles, CA, 90016, USA.

The paradox of a brain trying to study itself presents a conundrum, raising questions about self-reference, consciousness, psychiatric disorders, and the boundaries of scientific inquiry. By which means can this complex organ shift the focus of study towards itself? We aim at unpacking the intricacies of this paradox. Historically, this question has been raised by philosophers under different frameworks.

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Background: The mentalization-based perspective of Borderline Personality Disorder (BPD) underscores fluctuating interpersonal functionality, believed to arise from suboptimal mentalization modes, including hyper- and hypomentalizing. The connection between ineffective mentalizing and specific BPD challenges remains ambiguous. Network theory offers a unique means to investigate the hypothesis that distinct yet interconnected mental challenges ('symptoms') construct 'disorders' through their continuous mutual interactions.

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Background: Emotion regulation is a crucial function implicated in multiple mental health disorders; understanding the mechanisms by which emotion regulation has such impact is essential. Mentalizing has been posited as a prerequisite for effective emotion regulation. The current study aims to examine the roles of epistemic trust and interpersonal problems in driving the association between mentalizing and emotion regulation, contrasting clinical and non-clinical populations.

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A global effort to benchmark predictive models and reveal mechanistic diversity in long-term stroke outcomes.

bioRxiv

November 2024

Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, Centre national de la recherche scientifique (CNRS), CEA, University of Bordeaux, Bordeaux, France.

Stroke remains a leading cause of mortality and long-term disability worldwide, with variable recovery trajectories posing substantial challenges in anticipating post-event care and rehabilitation planning. In response, we established the NeuralCup consortium to address these challenges by benchmarking predictive models of stroke outcome through a collaborative, data-driven approach. This study presents the findings of 15 participating teams worldwide who used a comprehensive dataset including clinical and imaging data, to identify and compare predictors of motor, cognitive, and emotional outcomes one-year post-stroke.

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Supervised structure learning.

Biol Psychol

November 2024

VERSES AI Research Lab, Los Angeles, CA, 90016, USA; School of Engineering and Informatics, University of Sussex, Brighton, UK.

This paper concerns structure learning or discovery of discrete generative models. It focuses on Bayesian model selection and the assimilation of training data or content, with a special emphasis on the order in which data are ingested. A key move-in the ensuing schemes-is to place priors on the selection of models, based upon expected free energy.

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The efficacy of transcutaneous auricular vagus nerve stimulation (taVNS) as a non-invasive method to modulate physiological markers of noradrenergic activity of the Locus Coeruleus (LC), such as pupil dilation, is increasingly more discussed. However, taVNS studies show high heterogeneity of stimulation effects. Therefore, a taVNS setup was established here to test different frequencies (10 Hz and 25 Hz) and intensities (3 mA and 5 mA) during phasic stimulation (3 s) with time-synchronous recording of pupil dilation in younger adults.

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Causal inference on human behaviour.

Nat Hum Behav

August 2024

Hector Research Institute of Education Sciences and Psychology, University of Tübingen, Tübingen, Germany.

Making causal inferences regarding human behaviour is difficult given the complex interplay between countless contributors to behaviour, including factors in the external world and our internal states. We provide a non-technical conceptual overview of challenges and opportunities for causal inference on human behaviour. The challenges include our ambiguous causal language and thinking, statistical under- or over-control, effect heterogeneity, interference, timescales of effects and complex treatments.

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The efficacy of transcutaneous auricular vagus nerve stimulation (taVNS) as a non-invasive method to modulate physiological markers of noradrenergic activity of the Locus Coeruleus (LC), such as pupil dilation, is increasingly more discussed. However, taVNS studies show high heterogeneity of stimulation effects. Therefore, a taVNS setup was established here to test different frequencies ( and ) and intensities ( and ) during phasic stimulation () with time-synchronous recording of pupil dilation in younger adults.

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Speech and neuroimaging effects following HiCommunication: a randomized controlled group intervention trial in Parkinson's disease.

Brain Commun

July 2024

Department of Clinical Science, Intervention and Technology, Division of Speech and Language Pathology, Karolinska Institutet, 141 86 Huddinge, Stockholm, Sweden.

Speech, voice and communication changes are common in Parkinson's disease. HiCommunication is a novel group intervention for speech and communication in Parkinson's disease based on principles driving neuroplasticity. In a randomized controlled trial, 95 participants with Parkinson's disease were allocated to HiCommunication or an active control intervention.

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Assessing the extent of the intramedullary lesion after spinal cord injury (SCI) might help to improve prognostication. However, because the neurological level of injury impacts the recovery potential of SCI patients, the question arises whether lesion size parameters and predictive models based on those parameters are affected as well. In this retrospective observational study, the extent of the intramedullary lesion between individuals who sustained cervical and thoracolumbar SCI was compared, and its relation to clinical recovery was assessed.

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Current theories suggest individuals with methamphetamine use disorder (iMUDs) have difficulty considering long-term outcomes in decision-making, which could contribute to risk of relapse. Aversive interoceptive states (e.g.

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Prognostic value of tissue bridges in cervical spinal cord injury: a longitudinal, multicentre, retrospective cohort study.

Lancet Neurol

August 2024

Spinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland; Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK; Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, UK; Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Electronic address:

Background: The accuracy of prognostication in patients with cervical spinal cord injury (SCI) needs to be improved. We aimed to explore the prognostic value of preserved spinal tissue bridges-injury-spared neural tissue adjacent to the lesion-for prediction of sensorimotor recovery in a large, multicentre cohort of people with SCI.

Methods: For this longitudinal study, we included patients with acute cervical SCI (vertebrae C1-C7) admitted to one of three trauma or rehabilitation centres: Murnau, Germany (March 18, 2010-March 1, 2021); Zurich, Switzerland (May 12, 2002-March 2, 2019); and Denver, CO, USA (Jan 12, 2010-Feb 16, 2017).

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A machine-learning approach for differentiating borderline personality disorder from community participants with brain-wide functional connectivity.

J Affect Disord

September 2024

Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany; Department of Psychiatry, Ludwig-Maximilians-Universität, Munich, Germany.

Background: Functional connectivity has garnered interest as a potential biomarker of psychiatric disorders including borderline personality disorder (BPD). However, small sample sizes and lack of within-study replications have led to divergent findings with no clear spatial foci.

Aims: Evaluate discriminative performance and generalizability of functional connectivity markers for BPD.

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Body size interacts with the structure of the central nervous system: A multi-center in vivo neuroimaging study.

bioRxiv

May 2024

Division of Clinical Behavioral Neuroscience, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.

Article Synopsis
  • Clinical research typically requires careful study designs that account for variables like sex and age, but often overlooks body size factors like height and weight in neuroimaging studies.
  • This study analyzed data from 267 healthy adults to explore how body height and weight relate to various brain and spinal cord MRI metrics, finding significant correlations, especially with brain gray matter volume and cervical spinal cord area.
  • The results suggest that body size is an important biological variable that should be included in clinical neuroimaging study designs to enhance accuracy in understanding brain and spinal cord structures.
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Work at the intersection of philosophy and psychiatry has an extensive and influential history, and has received increased attention recently, with the emergence of professional associations and a growing literature. In this paper, we review key advances in work on philosophy and psychiatry, and their related clinical implications. First, in understanding and categorizing mental disorder, both naturalist and normativist considerations are now viewed as important - psychiatric constructs necessitate a consideration of both facts and values.

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Shared Protentions in Multi-Agent Active Inference.

Entropy (Basel)

March 2024

VERSES Research Lab and Spatial Web Foundation, Los Angeles, CA 90016, USA.

In this paper, we unite concepts from Husserlian phenomenology, the active inference framework in theoretical biology, and category theory in mathematics to develop a comprehensive framework for understanding social action premised on shared goals. We begin with an overview of Husserlian phenomenology, focusing on aspects of inner time-consciousness, namely, retention, primal impression, and protention. We then review active inference as a formal approach to modeling agent behavior based on variational (approximate Bayesian) inference.

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Mismatch negativity (MMN) to pitch (pMMN) and to duration (dMMN) deviant stimuli is significantly more attenuated in long-term psychotic illness compared to first-episode psychosis (FEP). It was recently shown that source-modeling of magnetically recorded MMN increases the detection of left auditory cortex MMN deficits in FEP, and that computational circuit modeling of electrically recorded MMN also reveals left-hemisphere auditory cortex abnormalities. Computational modeling using dynamic causal modeling (DCM) can also be used to infer synaptic activity from EEG-based scalp recordings.

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Background And Purpose: In acute spinal cord injury (SCI), magnetic resonance imaging (MRI) reveals tissue bridges and neurodegeneration for 2 years. This 5-year study aims to track initial lesion changes, subsequent neurodegeneration, and their impact on recovery.

Methods: This prospective longitudinal study enrolled acute SCI patients and healthy controls who were assessed clinically-and by MRI-regularly from 3 days postinjury up to 60 months.

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To trust or not to trust in the thrall of the COVID-19 pandemic: Conspiracy endorsement and the role of adverse childhood experiences, epistemic trust, and personality functioning.

Soc Sci Med

January 2024

Department of Psychosomatic Medicine and Psychotherapy, Justus Liebig University Giessen, Giessen, Germany; Department for Psychosomatic Medicine and Psychotherapy, Medical Center of the Philipps University Marburg, Marburg, Germany.

Rationale: Conspiracy endorsement is a public health challenge for the successful containment of the COVID-19 pandemic. While usually considered a societal phenomenon, little is known about the equally important developmental backdrops and personality characteristics like mistrust that render an individual prone to conspiracy endorsement. There is a growing body of evidence implying a detrimental role of adverse childhood experiences (ACEs) - a highly prevalent developmental burden - in the development of epistemic trust and personality functioning.

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It is posited that cognitive and affective dysfunction in patients with major depression disorder (MDD) may be caused by dysfunctional signal propagation in the brain. By leveraging dynamic causal modeling, we investigated large-scale directed signal propagation (effective connectivity) among distributed large-scale brain networks with 43 MDD patients and 56 healthy controls. The results revealed the existence of two mutual inhibitory systems: the anterior default mode network, auditory network, sensorimotor network, salience network and visual networks formed an "emotional" brain, while the posterior default mode network, central executive networks, cerebellum and dorsal attention network formed a "rational brain".

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Cultivating creativity: predictive brains and the enlightened room problem.

Philos Trans R Soc Lond B Biol Sci

January 2024

Department of Informatics, University of Sussex, Brighton, BN1 9RH, UK.

How can one conciliate the claim that humans are uncertainty minimizing systems that seek to navigate predictable and familiar environments with the claim that humans can be creative? We call this the Enlightened Room Problem (ERP). The solution, we suggest, lies not (or not only) in the error-minimizing brain but in the environment itself. Creativity emerges from various degrees of interplay between predictive brains and changing environments: ones that repeatedly move the goalposts for our own error-minimizing machinery.

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Federated inference and belief sharing.

Neurosci Biobehav Rev

January 2024

Institute of Philosophy, School of Advanced Studies, University of London, UK.

This paper concerns the distributed intelligence or federated inference that emerges under belief-sharing among agents who share a common world-and world model. Imagine, for example, several animals keeping a lookout for predators. Their collective surveillance rests upon being able to communicate their beliefs-about what they see-among themselves.

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The human isocortex consists of tangentially organized layers with unique cytoarchitectural properties. These layers show spatial variations in thickness and cytoarchitecture across the neocortex, which is thought to support function through enabling targeted corticocortical connections. Here, leveraging maps of the 6 cortical layers based on 3D human brain histology, we aimed to quantitatively characterize the systematic covariation of laminar structure in the cortex and its functional consequences.

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