- Neurobiology of Language and Bilingualism
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Phonetics and Phonology Research
- Human Pose and Action Recognition
- Robotic Locomotion and Control
- EEG and Brain-Computer Interfaces
- Advanced Neuroimaging Techniques and Applications
- Linguistic Variation and Morphology
- Reading and Literacy Development
- Neuroscience and Music Perception
- 3D Shape Modeling and Analysis
- Advanced MRI Techniques and Applications
- Robot Manipulation and Learning
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Action Observation and Synchronization
- Advanced Vision and Imaging
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Prosthetics and Rehabilitation Robotics
- Computer Graphics and Visualization Techniques
- Domain Adaptation and Few-Shot Learning
- Generative Adversarial Networks and Image Synthesis
- Meteorological Phenomena and Simulations
University of Oxford
2015-2025
Wellcome Centre for Integrative Neuroimaging
2016-2024
Wellcome Centre for Human Neuroimaging
2012-2024
University College London
2013-2024
Science Oxford
2024
National Hospital for Neurology and Neurosurgery
2019-2022
Robotics Research (United States)
2022
John Radcliffe Hospital
2016-2020
Art Institute of Portland
2020
Favaloro University
2019
When asked to perform the same task, different individuals exhibit markedly patterns of brain activity. This variability is often attributed volatile factors, such as task strategy or compliance. We propose that individual differences in responses are, a large degree, inherent and can be predicted from task-independent measurements collected at rest. Using set conditions, spanning several behavioral domains, we train simple model relates activity evaluate by predicting activation maps for...
Using functional magnetic resonance imaging, we found that when bilinguals named pictures or read words aloud, in their native nonnative language, activation was higher relative to monolinguals 5 left hemisphere regions: dorsal precentral gyrus, pars triangularis, opercularis, superior temporal and planum temporale. We further demonstrate these areas are sensitive increasing demands on speech production monolinguals. This suggests the advantage of being bilingual comes at expense increased...
We used fMRI in 85 healthy participants to investigate whether different parts of the left supramarginal gyrus (SMG) are involved processing phonological inputs and outputs. The experiment 2 tasks (speech production (SP) one-back (OB) matching) on 8 types stimuli that systematically varied demands sensory (visual vs. auditory), sublexical input (words pseudowords nonverbal stimuli), semantic content objects meaningless baseline stimuli). In ventral SMG, we found an anterior subregion...
We used structural magnetic resonance imaging (MRI) and voxel based morphometry (VBM) to investigate whether the efficiency of word processing in non-native language (lexical efficiency) number languages spoken (2+ versus 1) were related local differences brain structure bilingual multilingual speakers. dissociate two different correlates for processing. Firstly, multilinguals who spoke 2 or more had higher grey matter density right posterior supramarginal gyrus compared bilinguals only one...
Post-stroke prognoses are usually inductive, generalizing trends learned from one group of patients, whose outcomes known, to make predictions for new patients. Research into the recovery language function is almost exclusively focused on monolingual stroke but bilingualism norm in many parts world. If bilingual recruits qualitatively different networks brain, prognostic models developed monolinguals might not generalize well Here, we sought establish how applicable post-stroke models,...
Generative latent-variable models are emerging as promising tools in robotics and reinforcement learning. Yet, even though tasks these domains typically involve distinct objects, most state-of-the-art generative do not explicitly capture the compositional nature of visual scenes. Two recent exceptions, MONet IODINE, decompose scenes into objects an unsupervised fashion. Their underlying processes, however, account for component interactions. Hence, neither them allows principled sampling...
Injury and disease affect neural processing increase individual variations in patients when compared with healthy controls. Understanding this increased variability is critical for identifying the anatomical location of eloquent brain areas pre-surgical planning. Here we show that precise reliable language maps can be inferred patient populations from resting scans idle activity. We trained a predictive model on pairs resting-state task-evoked data tested it to predict activation unseen...
Acquired language disorders after stroke are strongly associated with left hemisphere damage. When difficulties observed in the context of right strokes, patients usually considered to have atypical functional anatomy. By systematically integrating behavioural and lesion data from brain damaged MRI neurologically normal participants, we investigated when why strokes cause disorders. Experiment 1 studied right-handed unilateral that (n = 109) or 369) hemispheres. The most frequently impaired...
This position paper on Indigenous Protocol (IP) and Artificial Intelligence (AI) is a starting place for those who want to design create AI from an ethical that centers concerns. Each community will have its own particular approach the questions we raise in what follows. What written here not substitute establishing maintaining relationships of reciprocal care support with specific communities. Rather, this document offers range ideas take into consideration when entering conversations which...
Previous studies have investigated orthographic-to-phonological mapping during reading by comparing brain activation for (1) words to object naming, or (2) pseudowords (e.g. "phume") "plume"). Here we combined both approaches provide new insights into the underlying neural mechanisms. In fMRI data from 25 healthy adult readers, first identified that was greater and relative picture color naming. The most significant effect observed in left putamen, extending anterior posterior borders....
Abstract An important approach for studying the human brain is to use functional neuroimaging combined with a task. In electrophysiological data, this often involves time-frequency analysis, in which recorded activity transformed and epoched around task events of interest, followed by trial-averaging power. While simple can reveal fast oscillatory dynamics, regions are analysed one at time. This causes difficulties interpretation debilitating number multiple comparisons. addition, it now...
Unlike most languages that are written using a single script, Japanese uses multiple scripts including morphographic Kanji and syllabographic Hiragana Katakana. Here, we used functional magnetic resonance imaging with dynamic causal modeling to investigate competing theories regarding the neural processing of during visual lexical decision task. First, bilateral model investigated interhemispheric connectivity between ventral occipito–temporal (vOT) cortex Broca's area (“pars opercularis”)....
Abstract Resting‐state fMRI has shown the ability to predict task activation on an individual basis by using a general linear model (GLM) map resting‐state network features z ‐scores. The question remains whether relatively simplistic GLM is best approach accomplish this prediction. In study, several regression‐based machine‐learning approaches were compared, including GLMs, feed‐forward neural networks, and random forest bootstrap aggregation (bagging). data from 350 Human Connectome...
Determining the validity and reliability of a test is crucial when results inform clinical decision-making. Voets et al. highlight priority areas where progress needed to resolve long-standing controversies surrounding applications functional MRI in neurosurgery.
The aim of this paper was to investigate the neurological underpinnings auditory-to-motor translation during auditory repetition unfamiliar pseudowords. We tested two different hypotheses. First we used functional magnetic resonance imaging in 25 healthy subjects determine whether a functionally defined area left temporo-parietal junction (TPJ), referred as Sylvian-parietal-temporal region (Spt), reflected demands on integration pseudowords relative semantically mediated nonverbal...
Phrenology was a nineteenth century endeavour to link personality traits with scalp morphology, which has been both influential and fiercely criticised, not least because of the assumption that morphology can be informative underlying brain function. Here we test idea empirically rather than dismissing it out hand. Whereas phrenologists had access coarse measurement tools (digital technology referring then fingers), were able re-examine phrenology using 21st methods thousands subjects drawn...
Ample reports highlight fMRI’s added value to guide neurosurgical interventions near brain regions supporting speech and language. However, usefulness for clinical language mapping remains controversial, partly fueled by 1) differences from standard tools it is often compared against, 2) wide heterogeneity in how data are acquired, analyzed interpreted. Both factors limit objective assessment of the benefits efficacy presurgical fMRI. This underscores need standardization fMRI protocols...
Even in response to simple tasks such as hand movement, human brain activity shows remarkable inter-subject variability. Recently, it has been shown that individual spatial variability fMRI task responses can be predicted from measurements collected at rest; suggesting the is a stable feature, inherent individual's brain. However, not clear if this also true for spatio-spectral content of oscillatory activity. Here, we show using MEG (N = 89) predict and spectral an features estimated...
During speech production, auditory processing of self-generated is used to adjust subsequent articulations. The current study investigated how the proposed auditory–motor interactions are manifest at neural level in native and non-native speakers English who were overtly naming pictures objects reading their written names. Data acquired with functional magnetic resonance imaging analyzed dynamic causal modeling. We found that (1) higher activity articulatory regions caused decrease (i.e.,...
This fMRI study of 24 healthy human participants investigated whether any part the auditory cortex was more responsive to self-generated speech sounds compared hearing another person speak. The results demonstrate a double dissociation in two different parts cortex. In right posterior superior temporal sulcus (RpSTS), activation higher during production than listening stimuli, whereas bilateral gyri (STG), for stimuli production. second study, we function identified regions, by examining how...
We used fMRI in 35 healthy participants to investigate how two neighbouring subregions the lateral anterior temporal lobe (LATL) contribute semantic matching and object naming. Four different levels of processing were considered: (A) recognition concepts; (B) search for associations related stimuli; (C) retrieval concepts interest; (D) stimulus specific as required During association on picture stimuli or heard names, we found that activation both was higher when objects semantically...
Abstract Phrenology was a nineteenth century endeavour to link personality traits with scalp morphology, which has been both influential and fiercely criticised, not least because of the assumption that morphology can be informative underlying brain function. Here we test idea empirically rather than dismissing it out hand. Whereas phrenologists had access coarse measurement tools (digital technology referring then fingers), were able re-examine phrenology using 21 st methods thousands...
Advances in unsupervised learning of object-representations have culminated the development a broad range methods for object segmentation and interpretable object-centric scene generation. These methods, however, are limited to simulated real-world datasets with visual complexity. Moreover, representations often inferred using RNNs which do not scale well large images or iterative refinement avoids imposing an unnatural ordering on objects image but requires priori initialisation fixed...
Functional magnetic resonance imaging (fMRI) has an established role in neurosurgical planning; however, ambiguity surrounds the comparative value of resting and task-based fMRI relative to anatomical localization sensorimotor cortex. This study was carried out determine: 1) how often adds prediction motor risks beyond expert neuroradiological review, 2) success rates presurgical mapping, 3) impact accelerated acquisitions on network detectability.Data were collected at 2 centers from 71...