AIMC Topic: Brain Mapping

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Decoding with confidence: Statistical control on decoder maps.

NeuroImage Mar 12, 2021
In brain imaging, decoding is widely used to infer relationships between brain and cognition, or to craft brain-imaging biomarkers of pathologies. Yet, standard decoding procedures do not come with statistical guarantees, and thus do not give confide...
Neural Networks, Computer Psychomotor Performance Data Analysis Algorithms Magnetic Resonance Imaging Humans Brain Mapping Brain Image Processing, Computer-Assisted
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Automatic attenuation map estimation from SPECT data only for brain perfusion scans using convolutional neural networks.

Physics in medicine and biology Mar 4, 2021
In clinical brain SPECT, correction for photon attenuation in the patient is essential to obtain images which provide quantitative information on the regional activity concentration per unit volume (kBq.[Formula: see text]). This correction generally...
Brain Neuroimaging Tomography, X-Ray Computed Monte Carlo Method Image Processing, Computer-Assisted Tomography, Emission-Computed, Single-Photon Magnetic Resonance Imaging Technetium Tc 99m Exametazime Regression Analysis Brain Mapping Humans Perfusion Neural Networks, Computer
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Human cortical encoding of pitch in tonal and non-tonal languages.

Nature communications Feb 19, 2021
Languages can use a common repertoire of vocal sounds to signify distinct meanings. In tonal languages, such as Mandarin Chinese, pitch contours of syllables distinguish one word from another, whereas in non-tonal languages, such as English, pitch is...
Male Speech Brain Mapping Linguistics Neural Networks, Computer Pitch Perception Humans Language Electrodes Female Speech Perception
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Within-category representational stability through the lens of manipulable objects.

Cortex; a journal devoted to the study of the nervous system and behavior Feb 5, 2021
Our ability to recognize an object amongst many exemplars is one of our most important features, and one that putatively distinguishes humans from non-human animals and potentially from (current) computational and artificial intelligence models. We c...
Artificial Intelligence Animals Semantics Photic Stimulation Magnetic Resonance Imaging Pattern Recognition, Visual Brain Mapping Temporal Lobe
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Functional parcellation of mouse visual cortex using statistical techniques reveals response-dependent clustering of cortical processing areas.

PLoS computational biology Feb 4, 2021
The visual cortex of the mouse brain can be divided into ten or more areas that each contain complete or partial retinotopic maps of the contralateral visual field. It is generally assumed that these areas represent discrete processing regions. In co...
Photons Visual Pathways Prosencephalon Normal Distribution Photic Stimulation Visual Cortex Cluster Analysis Models, Statistical Brain Mapping Visual Fields Mice, Transgenic Retina Neurons Animals Machine Learning Male Brain Mice Female
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Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification.

IEEE transactions on neural networks and learning systems Feb 4, 2021
In the context of motor imagery, electroencephalography (EEG) data vary from subject to subject such that the performance of a classifier trained on data of multiple subjects from a specific domain typically degrades when applied to a different subje...
Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Brain Mapping Humans Neural Networks, Computer Algorithms Brain-Computer Interfaces Movement Electroencephalography Signal Processing, Computer-Assisted Neuroimaging
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Identify abnormal functional connectivity of resting state networks in Autism spectrum disorder and apply to machine learning-based classification.

Brain research Jan 29, 2021
Autism spectrum disorder (ASD) patients are often reported altered patterns of functional connectivity (FC) on resting-state functional magnetic resonance imaging (rsfMRI) scans. However, the results in similar brain regions were inconsistent. In thi...
Neural Pathways Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Humans Machine Learning Autism Spectrum Disorder
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Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain.

eLife Jan 18, 2021
We have developed an open-source software called bi-channel image registration and deep-learning segmentation (BIRDS) for the mapping and analysis of 3D microscopy data and applied this to the mouse brain. The BIRDS pipeline includes image preprocess...
Brain Mapping Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Animals Mice
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xQSM: quantitative susceptibility mapping with octave convolutional and noise-regularized neural networks.

NMR in biomedicine Dec 27, 2020
Quantitative susceptibility mapping (QSM) provides a valuable MRI contrast mechanism that has demonstrated broad clinical applications. However, the image reconstruction of QSM is challenging due to its ill-posed dipole inversion process. In this stu...
Deep Learning Brain Mapping Phantoms, Imaging Neural Networks, Computer Humans Algorithms Brain
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Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture.

Sensors (Basel, Switzerland) Dec 21, 2020
Mindfulness training is associated with improvements in psychological wellbeing and cognition, yet the specific underlying neurophysiological mechanisms underpinning these changes are uncertain. This study uses a novel brain-inspired artificial neura...
Male Female Humans Mindfulness Brain Mapping Middle Aged Young Adult Neural Networks, Computer Electroencephalography Spatio-Temporal Analysis Brain Adult
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