Article
Neurosciences
Settimio Ziccarelli, Antonino Errante, Leonardo Fogassi
Summary: Action observation recruits visual areas and activates the extended action observation network (eAON). This study investigated the activation of eAON during observation of point-light displays (PLDs) and fully visible hand grasping actions. Results showed that both conditions elicited similar motor resonance mechanisms in eAON. The study suggests that kinematic features conveyed by PLDs stimuli can be disentangled within eAON, providing insights into action recognition, imitation, and motor learning.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
HuiXia He, Yan Zhuo, Sheng He, Jiedong Zhang
Summary: The human brain efficiently processes action-related visual information, but the neural representation of actions and goal-objects in different parts of the brain is not fully understood. This study used functional magnetic resonance imaging to investigate how goal-objects and actions are represented in the dorsal pathway during goal-directed action observation. The results showed that action information could be decoded across much of the dorsal pathway, while invariant goal-object information was mainly localized in the early stage of the parietal cortex.
Article
Neurosciences
Ding Cui, Lotte Sypre, Mathias Vissers, Saloni Sharma, Rufin Vogels, Koen Nelissen
Summary: Neuroimaging and single cell recordings have shown the existence of STS body category-selective regions (body patches) that respond to static bodies and body parts. However, it is still uncertain if these body patches and other STS regions respond to different categories of dynamic actions and how categorization learning influences observed action representations in the STS.
Article
Neurosciences
Heini Saarimaki, Enrico Glerean, Dmitry Smirnov, Henri Mynttinen, Iiro P. Jaaskelainen, Mikko Sams, Lauri Nummenmaa
Summary: The study utilized functional magnetic resonance imaging data and pattern recognition techniques to analyze the impact of emotional states on brain functional connectivity. The results indicate that different emotional states exhibit differences in large-scale connectivity patterns, particularly within the default mode system.
Article
Neurosciences
Iiro P. Jaeaeskelaeinen, Enrico Glerean, Vasily Klucharev, Anna Shestakova, Jyrki Ahveninen
Summary: Accumulated findings from MVPA suggest that fingerprint patterns of activations and deactivations in brain activity may reflect neuronal-population level sparse code, which interacts across multiple levels of brain hierarchy and gives rise to perception, emotions, and cognition.
Article
Cell Biology
Chaoyi Qin, Frederic Michon, Yoshiyuki Onuki, Yohei Ishishita, Keisuke Otani, Kensuke Kawai, Pascal Fries, Valeria Gazzola, Christian Keysers
Summary: This study utilized intracranial electrocorticography to investigate the changes in the action observation network (AON) when isolated motor acts are embedded in meaningful sequences of actions. The results showed that embedding predictable actions in meaningful sequences induced stronger top-down beta oscillation from the precentral to supramarginal contacts, and also suppressed bottom-up visual responses in the high-gamma range in visual areas.
Article
Neurosciences
Matthias Staib, Sascha Fruehholz
Summary: Voice signaling is an integral part of human communication, and the voice area in the auditory cortex plays a crucial role in discriminating voices from other auditory objects. However, the functional differentiation of this voice area remains unclear and might have been overestimated. Neuroimaging studies revealed that only a small portion of the originally described voice area in the higher-order auditory cortex is specifically involved in voice processing. The remaining parts of the voice area in both low- and higher-order auditory cortex mainly process non-specific psychoacoustic differences between voices and nonvoices. Additionally, a specific subfield in the low-order auditory cortex appears to decode relevant acoustic sound features for voice detection but not exclusively.
Article
Multidisciplinary Sciences
Jason A. Avery, Alexander G. Liu, John E. Ingeholm, Stephen J. Gotts, Alex Martin
Summary: Research has shown that viewing pictures of food triggers automatic retrieval of specific taste quality information associated with the depicted foods within the taste cortex, but the patterns of neural activity elicited by pictures and their associated tastes are unrelated.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Neurosciences
Philip R. Corlett, Jessica A. Mollick, Hedy Kober
Summary: This study used a multi-level kernel-based density meta-analysis to explore prediction error signals in the midbrain and insula during reward, punishment, action, cognition, and perception tasks. The findings demonstrated the existence of domain-specific error signals and provided valuable insight into cognitive functions and dysfunctions in humans and other animals.
NEUROPSYCHOPHARMACOLOGY
(2022)
Article
Engineering, Biomedical
Sheng Ge, Jing He, Pan Lin, Ruimin Wang, Keiji Iramina, Yue Leng, Haixian Wang, Wenming Zheng, Chaoyong Xiao, Zonghong Li
Summary: Objective: This study aims to analyze the effective connectivity characteristics of brain networks during action observation from different visual perspectives, using functional magnetic resonance imaging (fMRI) and partial directional coherence (PDC) analysis. Results: The ultra-low frequency band (<= 0.04 Hz) showed significant activation during action observation from both first-person and third-person perspectives. The activation was stronger in the third-person perspective compared to the first-person perspective. In addition, the study attempted to classify fMRI data using brain network features, achieving high classification accuracies using weighted and binary PDC matrix methods. Significance: Weighted PDC analysis provides a comprehensive understanding of neural mechanisms during action observation and has potential applications in human-computer interaction.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Review
Neurosciences
David Kemmerer
Summary: Observing an agent perform an action can trigger a motor simulation in the Mirror Neuron System of the observer, which is modulated by various factors. This paper aims to provide a comprehensive survey of 22 distinct factors influencing the MNS during action observation, and to consider the implications of these factors on four theoretical models of the MNS. The assessments suggest that existing models are supported by some findings but challenged by others, highlighting the need for a more comprehensive model to account for all identified modulatory factors.
PROGRESS IN NEUROBIOLOGY
(2021)
Article
Anatomy & Morphology
Zhaoqi Zhang, Qiming Yuan, Zeping Liu, Man Zhang, Junjie Wu, Chunming Lu, Guosheng Ding, Taomei Guo
Summary: The study found that perceiving Chinese character writing sequences involved brain regions for general motor schema processing as well as sensorimotor functions specific for writing sequences, forming a cooperatively top-down brain network. This extends the hierarchical control model on motor schema processing.
BRAIN STRUCTURE & FUNCTION
(2021)
Article
Neurosciences
Yuka Donoshita, Uk-Su Choi, Hiroshi Ban, Ikuhiro Kida
Summary: Olfaction could be an early marker of neurodegenerative diseases. This study used 7-Tesla fMRI to assess olfactory function in the human brain and found that the piriform cortex is mainly associated with subjective odor intensity, while the posterior orbitofrontal cortex is involved in discriminating the subjective hedonic tone of the odorant.
Article
Behavioral Sciences
Xiaojue Zhou, Daniel A. Stehr, John Pyles, Emily D. Grossman
Summary: Observing the actions of others activates a core action observation network in the brain, which includes inferior frontal cortex, posterior superior temporal sulcus, and inferior parietal lobule. Each region within this network has different functional properties, such as representing the perceptual properties of action, predicting action outcomes, and inferring the goals of the actor. Recent evidence suggests that attention to the kinematics of the actor shapes neural representations in the posterior superior temporal sulcus. This study explores how attention alters network connectivity within the action observation network. The findings show that connectivity between the posterior superior temporal sulcus and the inferior frontal cortex, as well as bilateral extended superior temporal sulcus, is strengthened during action observation when attention is focused on the action itself rather than the goal. The results also suggest that the attention-modulated regions mainly consist of the fronto-parietal control network and default mode network.
Article
Clinical Neurology
Zhiqing Zhou, Songmei Chen, Yuanli Li, Jingjun Zhao, Guanwu Li, Lei Chen, Yuwei Wu, Sicong Zhang, Xiaolong Shi, Xixi Chen, Shutian Xu, Meng Ren, Shixin Chang, Chunlei Shan
Summary: This study investigated the therapeutic potential of sensory observation (SO) for sensorimotor dysfunction recovery and found that SO can activate mirror neurons and sensorimotor network-related brain regions. This provides new evidence for neurorehabilitation in post-stroke patients.
FRONTIERS IN NEUROLOGY
(2022)
Article
Plant Sciences
Yueying Li, Hao-Bing Yu, Yi Zhang, Tiago Leao, Evgenia Glukhov, Marsha L. Pierce, Chen Zhang, Hyunwoo Kim, Huanru Henry Mao, Fang Fang, Garrison W. Cottrell, Thomas F. Murray, Lena Gerwick, Huashi Guan, William H. Gerwick
JOURNAL OF NATURAL PRODUCTS
(2020)
Article
Chemistry, Multidisciplinary
Raphael Reher, Hyun Woo Kim, Chen Zhang, Huanru Henry Mao, Mingxun Wang, Louis-Felix Nothias, Andres Mauricio Caraballo-Rodriguez, Evgenia Glukhov, Bahar Teke, Tiago Leao, Kelsey L. Alexander, Brendan M. Duggan, Ezra L. Van Everbroeck, Pieter C. Dorrestein, Garrison W. Cottrell, William H. Gerwick
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2020)
Correction
Multidisciplinary Sciences
Chen Zhang, Yerlan Idelbayev, Nicholas Roberts, Yiwen Tao, Yashwanth Nannapaneni, Brendan M. Duggan, Jie Min, Eugene C. Lin, Erik C. Gerwick, Garrison W. Cottrell, William H. Gerwick
SCIENTIFIC REPORTS
(2020)
Article
Behavioral Sciences
Ivan Alvarez, Rebecca Smittenaar, Sian E. Handley, Alki Liasis, Martin I. Sereno, D. Samuel Schwarzkopf, Chris A. Clark
Article
Multidisciplinary Sciences
Flavia Filimon, Jonathan D. Nelson, Terrence J. Sejnowski, Martin Sereno, Garrison W. Cottrell
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2020)
Article
Multidisciplinary Sciences
Martin Sereno, Jorn Diedrichsen, Mohamed Tachrount, Guilherme Testa-Silva, Helen d'Arceuil, Chris De Zeeuw
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2020)
Article
Automation & Control Systems
Qianli Ma, Sen Li, Lifeng Shen, Jiabing Wang, Jia Wei, Zhiwen Yu, Garrison W. Cottrell
IEEE TRANSACTIONS ON CYBERNETICS
(2020)
Article
Plant Sciences
Hyun Woo Kim, Mingxun Wang, Christopher A. Leber, Louis-Felix Nothias, Raphael Reher, Kyo Bin Kang, Justin J. J. van der Hooft, Pieter C. Dorrestein, William H. Gerwick, Garrison W. Cottrell
Summary: Computational approaches like genome and metabolome mining are crucial in the research of natural products (NPs). An automated structure-type classification system is necessary to handle the vast amount of data on NP structures. NPClassifier, a deep-learning tool introduced in this study, is expected to accelerate NP discovery by linking structure to properties.
JOURNAL OF NATURAL PRODUCTS
(2021)
Article
Chemistry, Multidisciplinary
Hyun Woo Kim, Chen Zhang, Garrison W. Cottrell, William H. Gerwick
Summary: The identification of metabolites from complex biofluids and tissue extracts is crucial for understanding metabolic profiles. NMR spectroscopy, particularly H-1-C-13 HSQC NMR spectra, is commonly used in metabolomics studies. However, accurate identification of individual metabolites can be challenging due to high peak intensity and similar chemical shifts. This study demonstrates the successful application of a convolutional neural network (CNN) for accurate peak identification in complex mixtures, showing better performance compared to other NMR-based metabolomic tools.
MAGNETIC RESONANCE IN CHEMISTRY
(2022)
Article
Environmental Sciences
Anshuman Dewangan, Yash Pande, Hans-Werner Braun, Frank Vernon, Ismael Perez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen
Summary: The size and frequency of wildland fires in the western United States have increased dramatically in recent years. In this paper, the authors introduce the FIgLib dataset and SmokeyNet architecture for real-time wildfire smoke detection. SmokeyNet outperforms comparable baselines and rivals human performance when trained on the FIgLib dataset.
Article
Environmental Sciences
Jaspreet Kaur Bhamra, Shreyas Anantha Ramaprasad, Siddhant Baldota, Shane Luna, Eugene Zen, Ravi Ramachandra, Harrison Kim, Chris Schmidt, Chris Arends, Jessica Block, Ismael Perez, Daniel Crawl, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen
Summary: Research has shown that climate change leads to warmer temperatures and drier conditions, resulting in longer wildfire seasons and increased risks of wildfires in the United States. Given the dangers posed by wildfires, there is an urgent need for effective tools and methods for wildfire management, including early detection techniques. This paper presents the integration of multiple data sources into SmokeyNet, a deep learning model that uses spatiotemporal information to detect smoke from wildland fires.
Article
Biology
Daniel Haenelt, Robert Trampel, Shahin Nasr, Jonathan R. Polimeni, Roger B. H. Tootell, Martin Sereno, Kerrin J. Pine, Luke J. Edwards, Saskia Helbling, Nikolaus Weiskopf
Summary: The characterization of cortical myelination is important for studying the relationship between brain structure and function, but current knowledge is based on post-mortem histology. This study used qMRI and ultra-high field strength fMRI to investigate myelination in the V2 cortex of living humans. The results demonstrate the feasibility of studying structure-function relationships in vivo using qMRI.
Proceedings Paper
Computer Science, Artificial Intelligence
Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell
THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison W. Cottrell
THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
(2020)