A5090734850- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neuroscience and Music Perception
- Advanced MRI Techniques and Applications
- Hearing Loss and Rehabilitation
- Advanced Neuroimaging Techniques and Applications
- Face Recognition and Perception
- Visual perception and processing mechanisms
- Blind Source Separation Techniques
- EEG and Brain-Computer Interfaces
- Atomic and Subatomic Physics Research
- Neural Networks and Applications
- Multisensory perception and integration
- Medical Imaging Techniques and Applications
- Neural and Behavioral Psychology Studies
- Hearing, Cochlea, Tinnitus, Genetics
- Gaussian Processes and Bayesian Inference
- Computational Physics and Python Applications
- Optical Imaging and Spectroscopy Techniques
- Music and Audio Processing
- Fetal and Pediatric Neurological Disorders
- MRI in cancer diagnosis
- Neurological disorders and treatments
- Advanced NMR Techniques and Applications
- Infrared Target Detection Methodologies
Maastricht University
2016-2025
Resonance Research (United States)
2015-2025
University of Minnesota
2014-2024
École Polytechnique Fédérale de Lausanne
2023
Imaging Center
2009-2022
Brain (Germany)
2019
Can we decipher speech content ("what" is being said) and speaker identity ("who" saying it) from observations of brain activity a listener? Here, combine functional magnetic resonance imaging with data-mining algorithm retrieve what whom person listening to the neural fingerprints that voice signals elicit in listener's auditory cortex. These cortical are spatially distributed insensitive acoustic variations input so as permit brain-based recognition learned unknown speakers voices...
Functional neuroimaging research provides detailed observations of the response patterns that natural sounds (e.g. human voices and speech, animal cries, environmental sounds) evoke in brain. The computational representational mechanisms underlying these observations, however, remain largely unknown. Here we combine high spatial resolution (3 7 Tesla) functional magnetic resonance imaging (fMRI) with modeling to reveal how are represented We compare competing models sound representations...
Functional magnetic resonance imaging (fMRI) has become an indispensable tool for investigating the human brain. However, inherently poor signal-to-noise-ratio (SNR) of fMRI measurement represents a major barrier to expanding its spatiotemporal scale as well utility and ultimate impact. Here we introduce denoising technique that selectively suppresses thermal noise contribution experiment. Using 7-Tesla, high-resolution brain data, demonstrate improvements in key metrics functional mapping...
Auditory cortical processing of complex meaningful sounds entails the transformation sensory (tonotopic) representations incoming acoustic waveforms into higher-level sound (e.g., their category). However, precise neural mechanisms enabling such transformations remain largely unknown. In present study, we use functional magnetic resonance imaging (fMRI) and natural stimulation to examine these two levels representation (and relation) in human auditory cortex. a first experiment, derive maps...
Functional magnetic resonance imaging (fMRI) at high fields has made it possible to investigate the columnar organization of human brain in vivo with degrees accuracy and sensitivity. Until now, these results have been limited principles early visual cortex (V1). While middle temporal area (MT) first identified extra-striate shown exhibit a monkeys, evidence MT's response properties topographic layout humans remained elusive. Research using various approaches suggests similar as monkeys but...
Significance To the best of our knowledge, data provide first imaging evidence compatible with columnar processing sound frequency in human auditory cortex. Our study depicts cortex unprecedented spatial detail and demonstrates feasibility acquiring submillimeter functional images outside visual/motor cortices, setting stage for a wide range research possibilities. results elucidate role cortical layers bottom-up top-down sounds, suggest that ongoing behavioral goals shape population-based...
Basal ganglia circuits are affected in neurological disorders such as Parkinson's disease (PD), essential tremor, dystonia and Tourette syndrome. Understanding the structural functional connectivity of these is critical for elucidating mechanisms movement neuropsychiatric disorders, vital developing new therapeutic strategies deep brain stimulation (DBS). Knowledge about human basal thalamus has rapidly evolved over recent years through non-invasive imaging techniques, but remained...
Ultra high fields (7T and above) allow functional imaging with contrast-to-noise ratios improved spatial resolution. This, along hardware techniques, investigating columnar laminar responses. Using gradient-echo (GE) (T2* weighted) based sequences, layer specific responses have been recorded from human (and animal) primary visual areas. However, their increased sensitivity to large surface veins potentially clouds detecting interpreting Conversely, spin-echo (SE) (T2 sequences are less...
Significance The sounds we encounter in everyday life (e.g. speech, voices, animal cries, wind, rain) are complex and various. How the human brain analyses their acoustics remains largely unknown. This research shows that mathematical modelling combination with high spatial resolution functional magnetic resonance imaging enables reverse engineering of computations underlying real-life listening. Importantly, reveals even general auditory processing mechanisms optimized for fine-grained...
The precise delineation of auditory areas in vivo remains problematic. Histological analysis postmortem tissue indicates that the relation areal borders to macroanatomical landmarks is variable across subjects. Furthermore, functional parcellation schemes based on measures of, for example, frequency preference (tonotopy) remain controversial. Here, we propose a 7 Tesla magnetic resonance imaging method enables anatomical cortical and individual brains, through high-resolution visualization...
The advent of ultra-high field functional magnetic resonance imaging (fMRI) has greatly facilitated submillimeter resolution acquisitions (voxel volume below (1mm³)), allowing the investigation cortical columns and depth dependent (i.e. laminar) structures in human brain. Advanced data analysis techniques are essential to exploit information high measures. In this article, we use recent, exemplary 9.4T anatomical review advantages disadvantages (1) pooling across regions interest for profile...
Studying the human subcortical auditory system non-invasively is challenging due to its small, densely packed structures deep within brain. Additionally, elaborate three-dimensional (3-D) structure of can be difficult understand based on currently available 2-D schematics and animal models. Wfe addressed these issues using a combination histological data, post mortem magnetic resonance imaging (MRI), in vivo MRI at 7 Tesla. We created anatomical atlases state-of-the-art histology (BigBrain)...
Multi-Voxel Pattern Analysis (MVPA) is a well established tool to disclose weak, distributed effects in brain activity patterns. The generalization ability assessed by testing the learning model on new, unseen data. However, when limited data available, decoding success estimated using cross-validation. There general consensus assessing statistical significance of cross-validated accuracy with non-parametric permutation tests. In this work we focus false positive control different strategies...
We examine the mechanisms by which human auditory cortex processes frequency content of natural sounds. Through mathematical modeling ultra-high field (7 T) functional magnetic resonance imaging responses to sounds, we derive frequency-tuning curves cortical neuronal populations. With a data-driven analysis, divide into five spatially distributed clusters, each characterized spectral tuning profile. Beyond populations with simple single-peaked (grouped two clusters), observe that ∼60% are...