Article
Neurosciences
Rong Li, Jun Hwan Ryu, Peter Vincent, Max Springer, Dan Kluger, Erik A. Levinsohn, Yu Chen, Huafu Chen, Hal Blumenfeld
Summary: The study identified a shared network of transient fMRI increases in subcortical arousal and cortical salience/attention networks, which were consistent across different tasks and study populations. Furthermore, it found that sustained activity in these networks was more variable, and the function of the transient pulse in these networks remains unknown.
Article
Biology
Beth Lloyd, Lycia D. de Voogd, Veronica Maki-Marttunen, Sander Nieuwenhuis
Summary: This study found that spontaneous changes in pupil size during rest are almost immediately followed by corresponding changes in the activity of AAS nuclei, suggesting that pupil size changes can be used as a noninvasive index of activity in AAS nuclei.
Article
Multidisciplinary Sciences
Max Levinson, Ella Podvalny, Steven H. Baete, Biyu J. He
Summary: The study investigates the neural mechanisms underlying conscious recognition and finds that recognized images elicit enhanced activation in more brain regions, with specific content activity in both activated and deactivated cortical networks. Additionally, recognition-related category information can be decoded from widespread cortical activity but not subcortical activity.
NATURE COMMUNICATIONS
(2021)
Article
Anesthesiology
Tommer Nir, Reut Raizman, Inbar Meningher, Yael Jacob, Kuang-Han Huang, Arthur E. Schwartz, Jess W. Brallier, Helen Ahn, Prantik Kundu, Cheuk Y. Tang, Bradley N. Delman, Patrick J. McCormick, Julia Scarpa, Mary Sano, Stacie G. Deiner, Abigail Livny, Mark G. Baxter, Joshua S. Mincer
Summary: Functional connectivity in the subcortex is sharply restricted and lateralized under general anesthesia, affecting the loss and return of consciousness. However, connectivity between the ascending reticular activating system and specific thalamic nuclei related to arousal showed greater restoration upon emergence from anesthesia. Full restoration of functional connectivity to baseline was observed by the following day.
BRITISH JOURNAL OF ANAESTHESIA
(2022)
Article
Neurosciences
Busra Tanriverdi, David F. Gregory, Thomas M. Olino, Timothy D. Ely, Nathaniel G. Harnett, Sanne J. H. van Rooij, Lauren A. M. Lebois, Antonia Seligowski, Tanja Jovanovic, Kerry J. Ressler, Stacey L. House, Francesca L. Beaudoin, Xinming An, Thomas C. Neylan, Gari D. Clifford, Sarah D. Linnstaedt, Laura T. Germine, Kenneth A. Bollen, Scott L. Rauch, John P. Haran, Alan B. Storrow, Christopher Lewandowski, Paul I. Musey, Phyllis L. Hendry, Sophia Sheikh, Christopher W. Jones, Brittany E. Punches, Michael C. Kurz, Meghan E. McGrath, Lauren A. Hudak, Jose L. Pascual, Mark J. Seamon, Elizabeth M. Datner, Claire Pearson, Robert M. Domeier, Niels K. Rathlev, Brian J. O'Neil, Leon D. Sanchez, Steven E. Bruce, Mark W. Miller, Robert H. Pietrzak, Jutta Joormann, Deanna M. Barch, Diego A. Pizzagalli, John F. Sheridan, Jordan W. Smoller, Steven E. Harte, James M. Elliott, Samuel A. McLean, Ronald C. Kessler, Karestan C. Koenen, Jennifer S. Stevens, Vishnu P. Murty
Summary: Hippocampal impairments are associated with post-traumatic stress disorder (PTSD), particularly in individuals with increased threat sensitivity and arousal responses. This study found that individuals who showed high threat-related arousal had decreased hippocampal responses to threat, which were associated with PTSD symptoms.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Neurosciences
Yimeng Zeng, Fuxiang Tao, Zaixu Cui, Liyun Wu, Jiahua Xu, Wenshan Dong, Chao Liu, Zhi Yang, Shaozheng Qin
Summary: The study identified two distinct dynamic states of intrinsic connectivity patterns based on BLA and CMA using fMRI and K-means clustering in two groups of young healthy individuals. Higher skin conductance level was found in the integration state compared to the segregation state in another dataset. Additionally, machine learning analysis revealed that the time-varying BLA and CMA intrinsic connectivity patterns had higher predictive values for fluctuations in skin conductance level in the integration state.
Article
Neurosciences
Hyun Seok Moon, Haiyan Jiang, Thanh Tan Vo, Won Beom Jung, Alberto L. Vazquez, Seong-Gi Kim
Summary: This study investigated the roles of inhibitory and excitatory activity in the cortex using various methods, revealing different effects on BOLD fMRI between stimulating excitatory neurons and inhibitory neurons, with the latter showing biphasic responses and higher sensitivity to stimulation frequency.
Article
Biochemistry & Molecular Biology
Cameron T. Ellis, Lena J. Skalaban, Tristan S. Yates, Vikranth R. Bejjanki, Natalia Cordova, Nicholas B. Turk-Browne
Summary: The hippocampus is essential for human memory and supports statistical learning. Infants' hippocampal function is recruited for statistical learning around 3 months, regardless of age. In addition, statistical learning is clearer in the anterior hippocampus than the posterior hippocampus.
Article
Clinical Neurology
Natasha L. Taylor, Gabriel Wainstein, Dione Quek, Simon J. G. Lewis, James M. Shine, Kaylena A. Ehgoetz Martens
Summary: This study investigated the neural underpinnings of anxiety-induced freezing of gait through an anxiety-inducing virtual reality gait paradigm. The results showed that the threatening condition provoked more freezing and increased cross-talk within and between motor, limbic, and cognitive networks. The findings suggest a neurobiological mechanistic pathway through which heightened sympathetic arousal related to anxiety could contribute to freezing of gait.
MOVEMENT DISORDERS
(2022)
Article
Biology
Sadra Sadeh, Claudia Clopath
Summary: Neuronal responses to similar stimuli change dynamically over time, and this change is likely modulated by behavioral variability. Analyzing neural activity recordings, we found that behavioral variability significantly contributes to representational changes, across various cortical areas.
Article
Neurosciences
Rui Yuan, Jordan M. Nechvatal, Christine L. Buckmaster, Sarah Ayash, Karen J. Parker, Alan F. Schatzberg, David M. Lyons, Vinod Menon
Summary: Correlational studies indicate that exposure to early life stress can lead to long-term effects on neural circuits related to stress vulnerability and resilience, ultimately affecting mental health disorders. Specifically, in female squirrel monkeys, intermittent stress was found to cause hyper-connectivity between the prefrontal cortex and subcortical regions known to be influenced by stress, potentially impacting behavior and cognitive control in adulthood.
NEUROPSYCHOPHARMACOLOGY
(2021)
Article
Neurosciences
Sevil Ince, Trevor Steward, Ben J. Harrison, Alec J. Jamieson, Christopher G. Davey, James A. Agathos, Bradford A. Moffat, Rebecca K. Glarin, Kim L. Felmingham
Summary: The amygdala enhances the processing of negative emotional stimuli and access to attentional resources, while the periaqueductal gray modulates autonomic arousal through inhibitory influence on the amygdala, anterior insula, and dorsal anterior cingulate cortex.
Article
Engineering, Biomedical
Patricia Mesa-Gresa, Jose-Antonio Gil-Gomez, Jose Antonio Lozano-Quilis, Konstanze Schoeps, Inmaculada Montoya-Castilla
Summary: This study examines the electrophysiological correlates of emotional response in adolescents and young adults using electroencephalography measures. The findings indicate differences in cortical neural activity based on the valence and arousal of the images, highlighting the significant differences in emotional responses between adolescents and young adults.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Endocrinology & Metabolism
Jing Tian, Rui-Fang Liu, Zhou-Le Li, Jian Tan, Ya-Shan Lu, Wen-Wen Zhang, Ju-Xiang Liu, Rui Gong, Jian-Cang Cao, Chen Yang, Gang Huang, Ying Wang, Lian-Ping Zhao
Summary: This study aimed to investigate the alteration of cortical and subcortical spontaneous neural activity in T2DM patients with and without depression. The results showed abnormal neural activities in the bilateral posterior cingulate cortex (PCC) and hippocampus in both depressed and non-depressed T2DM patients. Additionally, the subcortical degree centrality (DC) of the right hippocampus and putamen were higher in depressed T2DM patients. These findings suggest that abnormalities in cortical and subcortical activity may represent the neurobiological features of cerebral dysfunction in T2DM.
NEUROENDOCRINOLOGY
(2023)
Article
Behavioral Sciences
S. J. S. Isherwood, M. G. Keuken, P. L. Bazin, B. U. Forstmann
Summary: This meta-analysis examined the overlap and differences in brain areas supporting interference resolution and global inhibition, revealing common and distinct activation regions, as well as a surprising lack of subcortical involvement in these types of cognitive control.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yicun Wang, Peter van Gelderen, Jacco A. de Zwart, Adrienne E. Campbell-Washburn, Jeff H. Duyn
Summary: Low-field MRI scanners below 1 tesla allow for more widespread diagnostic use, but robust fMRI performance at low field strengths has not been fully demonstrated. This study investigates task-based fMRI at 0.55 tesla, finding robust activation detection but sensitivity to magnetic field variations. Static shimming and postprocessing can partially address these challenges, with standard EPI showing more signal stability compared to transition-band steady-state free precession.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Neurosciences
Yameng Gu, Lucas E. Sainburg, Sizhe Kuang, Feng Han, Jack W. Williams, Yikang Liu, Nanyin Zhang, Xiang Zhang, David A. Leopold, Xiao Liu
Summary: This study found that spontaneous waves in the human and monkey brains propagate along a spatial axis representing cortical hierarchical organization. These cortical propagations are closely related to activity changes in subcortical structures and are modulated across different states of vigilance. The findings demonstrate a neural origin of spatiotemporal fMRI wave propagation at rest and link it to the principal gradient of resting-state fMRI connectivity.
Article
Biology
Sarah E. Goodale, Nafis Ahmed, Chong Zhao, Jacco A. de Zwart, Pinar S. Ozbay, Dante Picchioni, Jeff Duyn, Dario J. Englot, Victoria L. Morgan, Catie Chang
Summary: Levels of alertness are closely associated with human behavior and cognition, and researchers have successfully extracted a time-resolved marker of alertness from fMRI data alone. This marker can capture behavioral responses to incoming sensory stimuli and predict EEG and behavioral responses during tasks using only a small fraction of fMRI voxels. Additionally, considering alertness seems to enhance the statistical detection of task-activated brain areas.
Article
Biochemistry & Molecular Biology
Feng Han, Jing Chen, Aaron Belkin-Rosen, Yameng Gu, Liying Luo, Orfeu M. Buxton, Xiao Liu
Summary: The glymphatic system is important for clearing proteins associated with Alzheimer's disease, and this clearance process is highly dependent on sleep. Recent studies suggest a link between global brain activity and cerebrospinal fluid movements, potentially affecting the clearance of Alzheimer's-related brain waste.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jacco A. de Zwart, Peter van Gelderen, Jeff H. Duyn
Summary: The study investigated the practical resolution limits of perfusion-weighted fMRI in human visual stimulation experiments. Results showed that at high resolution, perfusion-weighted fMRI had lower sensitivity than BOLD, potentially compromising the detection of visual activation.
MAGNETIC RESONANCE IMAGING
(2021)
Article
Clinical Neurology
Erin S. Beck, Josefina Maranzano, Nicholas J. Luciano, Prasanna Parvathaneni, Stefano Filippini, Mark Morrison, Daniel J. Suto, Tianxia Wu, Peter van Gelderen, Jacco A. de Zwart, Samson Antel, Dumitru Fetco, Joan Ohayon, Frances Andrada, Yair Mina, Chevaz Thomas, Steve Jacobson, Jeff Duyn, Irene Cortese, Sridar Narayanan, Govind Nair, Pascal Sati, Daniel S. Reich
Summary: Cortical lesions in multiple sclerosis patients are highly prevalent and are associated with disease progression and disability.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Neurosciences
Tatiana A. Engel, Marieke L. Schoelvinck, Christopher M. Lewis
Summary: Human macroscopic neuroimaging reveals the organization of brain-wide activity, but hides the detailed responses and connections of individual neurons. New invasive approaches in animals allow for recording and manipulating neural activity at finer scales, shedding light on the significance of neural activity for global brain states and adaptive behavior.
Article
Multidisciplinary Sciences
Xiao Liu, David A. Leopold, Yifan Yang
Summary: The resting brain consumes a large amount of energy and exhibits highly organized spontaneous activity. An analysis of single neuron spiking activities revealed a ubiquitous, temporally sequenced cascade synchronized with global events. These findings suggest that the large-scale coordination of low-frequency spontaneous activity in the brain is underpinned by sequential, large-scale temporal cascades of neuronal spiking.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Cell Biology
Alina Peter, Benjamin Johannes Stauch, Katharine Shapcott, Kleopatra Kouroupaki, Joscha Tapani Schmiedt, Liane Klein, Johanna Klon-Lipok, Jarrod Robert Dowdall, Marieke Louise Schoelvinck, Martin Vinck, Michael Christoph Schmid, Pascal Fries
Summary: Repeated visual stimuli can decrease average neuronal responses, but maintain or increase impact through increased synchronization. These effects persist on a minute timescale, and gamma-band synchronization plays an important role in processing repeated stimuli.
Article
Neurosciences
Dante Picchioni, Pinar S. Ozbay, Hendrik Mandelkow, Jacco A. de Zwart, Yicun Wang, Peter van Gelderen, Jeff H. Duyn
Summary: During sleep, slow waves of neuro-electrical activity aid in memory consolidation and also promote brain health by facilitating waste clearance through the regulation of vascular tone and cerebrospinal fluid flow.
Article
Biophysics
Francesco La Rosa, Erin S. Beck, Josefina Maranzano, Ramona-Alexandra Todea, Peter van Gelderen, Jacco A. de Zwart, Nicholas J. Luciano, Jeff H. Duyn, Jean-Philippe Thiran, Cristina Granziera, Daniel S. Reich, Pascal Sati, Meritxell Bach Cuadra
Summary: In this study, a deep-learning-based framework called CLAIMS was developed for the automated detection and classification of multiple sclerosis cortical lesions. The framework outperformed previous methods and showed potential for supporting clinical decisions in the diagnosis and differential diagnosis of multiple sclerosis patients.
NMR IN BIOMEDICINE
(2022)
Article
Multidisciplinary Sciences
Georgios Spyropoulos, Jarrod Robert Dowdall, Marieke Louise Scholvinck, Conrado Arturo Bosman, Bruss Lima, Alina Peter, Irene Onorato, Johanna Klon-Lipok, Rasmus Roese, Sergio Neuenschwander, Wolf Singer, Martin Vinck, Pascal Fries
Summary: This study describes the dynamics of local field potential gamma oscillations using a damped harmonic oscillator model, and investigates the mechanisms underlying the variability in amplitude and duration.
NATURE COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Yameng Gu, Lucas E. Sainburg, Feng Han, Xiao Liu
Summary: This article introduces a publicly available dataset called Simultaneous EEG and fMRI signals during sleep, which can be accessed on the OpenNeuro platform. To investigate spontaneous brain activity during different brain states, EEG and fMRI signals were simultaneously acquired from 33 healthy participants, including both resting state and sleep. The dataset includes multiple resting state scanning sessions and sleep sessions for each participant, along with sleep staging of the EEG data conducted by a Registered Polysomnographic Technologist. This dataset provides an opportunity to examine spontaneous brain activity using multimodal neuroimaging signals.
Article
Computer Science, Artificial Intelligence
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Yu, Jun Huan, Xiao Liu, Xiang Zhang
Summary: Random Walk is a basic algorithm for exploring network structures, and can be used in tasks such as local community detection and network embedding. This study proposes a random walk on multiple networks, RWM, to utilize rich information in multiple networks for better inference on entities. RWM is flexible and supports both multiplex networks and general multiple networks with many-to-many node mappings. The convergence properties of RWM are theoretically analyzed, and efficient computation is achieved through two approximation methods. Experiments on synthetic and real-world datasets demonstrate the effectiveness and efficiency of RWM.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Xiao Liu
Summary: Recent research has found a connection between the global mean resting-state fMRI signal and macro-scale cerebrospinal fluid movement, indicating a potential link to brain waste clearance. This coupling has been associated with neurodegenerative diseases and their pathological symptoms. The research also suggests that global brain activity and associated physiological modulations can impact brain waste clearance through various pathways.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)