Article
Clinical Neurology
Sean L. Carter, Ronak Patel, John D. Fisk, Chase R. Figley, Ruth Ann Marrie, Erin L. Mazerolle, Md Nasir Uddin, Kaihim Wong, Lesley A. Graff, James M. Bolton, James J. Marriott, Charles N. Bernstein, Jennifer Kornelsen
Summary: This study aimed to assess functional connectivity differences between individuals with multiple sclerosis (MS) and healthy controls (HC), and identified brain regions associated with cognitive impairment.
FRONTIERS IN NEUROLOGY
(2023)
Article
Neurosciences
Peter Fransson, Marika Strindberg
Summary: Previous research has suggested that the re-organization of the brain's functional connectome, specifically in terms of network integration and segregation, plays a significant role in brain function. However, it has been challenging to capture both processes effectively within a single methodological framework. In this study, we developed a flexible network assembly approach that incorporates changes in integration and segregation at various spatial and temporal scales. We found that sub-network integration and segregation occur simultaneously in the brain, and changes in synchronization between networks during task performance are associated with the experimental design. We also discovered that the degree of network integration during a working memory task is correlated with performance.
Article
Neurosciences
Hong Gu, Kurt P. Schulz, Jin Fan, Yihong Yang
Summary: This study used a novel method to identify functional configuration patterns in the brain during a working memory task, showing that changes in brain states with increasing working memory load directly impact cognitive functioning.
Article
Behavioral Sciences
Yuanjun Xie, Yanyan Li, Muzhen Guan, Haidan Duan, Xiliang Xu, Peng Fang
Summary: This study investigated the behavioral performance of an audiovisual working memory task and its association with resting-state fMRI ReHo. The results showed that semantically congruent audiovisual object encoding sped up the later unisensory memory recognition. Higher behavioral performance group exhibited increased ReHo in ECN and decreased ReHo in DMN and SN. Additionally, ReHo values in ECN nodes were correlated with response time.
BEHAVIOURAL BRAIN RESEARCH
(2021)
Article
Neurosciences
Serafeim Loukas, Lara Lordier, Djalel-Eddine Meskaldji, Manuela Filippa, Joana Sa de Almeida, Dimitri Van de Ville, Petra S. Hueppi
Summary: Research indicates that even during the newborn period, familiar music and unfamiliar music are processed differently by the brain. After music listening, functional connectivity between brain regions in all newborns is modulated. Premature infants exposed to music experience enhanced functional connectivity between brain regions after listening to music.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Sarah Daviddi, Tiziana Pedale, Laura Serra, Simone Macri, Patrizia Campolongo, Valerio Santangelo
Summary: Individuals with Highly Superior Autobiographical Memory (HSAM) show altered hippocampal resting-state functional connectivity, potentially leading to a reduced ability to discern and select salient information and an increased probability of encoding and consolidating sensory information.
Article
Clinical Neurology
Hussam Metwali, Tamer Ibrahim, Mathijs Raemaekers
Summary: Resting-state networks (RSNs) under anesthesia can be used for intraoperative brain mapping and remapping during tumor resection, but there is a significant decrease in network connectivity with the continuation of anesthesia.
WORLD NEUROSURGERY
(2021)
Article
Behavioral Sciences
Ayako Isato, Keita Yokokawa, Makoto Higuchi, Tetsuya Suhara, Makiko Yamada
Summary: This study found a positive association between individual differences in positive memory recollection and functional connectivity in the brain at rest. The frontotemporal network connectivity may have implications for vulnerability to stress and depression.
BEHAVIOURAL BRAIN RESEARCH
(2022)
Article
Clinical Neurology
Xenia Kobeleva, Judith Machts, Maria Veit, Stefan Vielhaber, Susanne Petri, Mircea Ariel Schoenfeld
Summary: This fMRI study on ALS patients found significantly increased brain activity in the frontotemporal and parietal regions during working memory tasks, which was associated with better neuropsychological function within the patient group. The results suggest a compensatory effect in ALS patients during working memory execution.
EUROPEAN JOURNAL OF NEUROLOGY
(2021)
Article
Neurosciences
Zachery D. Morrissey, Liang Zhan, Olusola Ajilore, Alex D. Leow
Summary: Resting-state functional magnetic resonance imaging (rs-fMRI) is widely used in connectomics to study the functional relationships between brain regions, facing challenges in modeling negative correlations. The new method rest2vec uses embedding techniques to transform connectomes into low-dimensional vector spaces, aiding in understanding the functional organization of the brain.
Article
Neuroimaging
Maria A. Rocca, Menno M. Schoonheim, Paola Valsasina, Jeroen J. G. Geurts, Massimo Filippi
Summary: This article summarizes the main findings from studies using task-based and resting state fMRI in MS, and illustrates how these functional brain alterations are related to clinical disability and cognitive deficits. Longitudinal studies and the application of new technologies further reveal the disease progression and rehabilitation effects. In addition, preliminary results show the potential of two emerging topics. These functional studies are of great importance for understanding the mechanisms underlying progression in MS.
NEUROIMAGE-CLINICAL
(2022)
Article
Neurosciences
Lucy S. King, M. Catalina Camacho, David F. Montez, Kathryn L. Humphreys, Ian H. Gotlib
Summary: This study found that the quantity and quality of language input infants receive from their caregivers can impact the functional connectivity of language networks in the brain, particularly highlighting the importance of vocal interactions with caregivers in the development of infant brain function. Infants who engaged in more adult-infant conversational turns had lower connectivity in the posterior temporal language network, indicating the significance of interactive communication in early language development.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Neurosciences
Reid Blanchett, Yuanyuan Chen, Fernando Aguate, Kai Xia, Emil Cornea, S. Alexandra Burt, Gustavo de Los Campos, Wei Gao, John H. Gilmore, Rebecca C. Knickmeyer
Summary: Functional magnetic resonance imaging (fMRI) is used to identify complex brain networks, and researchers explored the genetic and environmental influences on these networks in early infancy. They found that genetic factors have minimal influence on brain connectivity in early infancy, while specific demographic and medical history variables may affect resting-state connectivity measures.
Article
Clinical Neurology
Jifei Sun, Yue Ma, Chunlei Guo, Zhongming Du, Limei Chen, Zhi Wang, Xiaojiao Li, Ke Xu, Yi Luo, Yang Hong, Xue Yu, Xue Xiao, Jiliang Fang, Jie Lu
Summary: This study found abnormal functional connectivity (FC) in four brain networks (DMN, AN, SN, CCN) in both patients with treatment-resistant depression (TRD) and non-TRD (nTRD). FC alterations in the affective network (AN) and cognitive control network (CCN) were more severe in the TRD group compared to the nTRD group. Additionally, specific brain regions' FC values were positively correlated with clinical symptoms.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2023)
Article
Multidisciplinary Sciences
Anna Combes, Lipika Narisetti, Anirban Sengupta, Baxter P. Rogers, Grace Sweeney, Logan Prock, Delaney Houston, Colin D. McKnight, John C. Gore, Seth A. Smith, Kristin P. O'Grady
Summary: This study investigates the functional connectivity features of the human lumbar spinal cord using resting-state fMRI. The results show synchronous signal fluctuations in the ventral and dorsal horns and reveal components within the gray matter corresponding to anatomical regions. The study demonstrates the feasibility of rs-fMRI to probe the functional features and organization of the lumbar spinal cord.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Biomedical
Eric Elzenheimer, Helmut Laufs, Wilhelm Schulte-Mattler, Gerhard Schmidt
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2020)
Article
Neurosciences
Ignacio Perez Ipina, Patricio Donnelly Kehoe, Morten Kringelbach, Helmut Laufs, Agustin Ibanez, Gustavo Deco, Yonatan Sanz Perl, Enzo Tagliazucchi
Article
Mathematics, Interdisciplinary Applications
Yonatan Sanz Perl, Carla Pallavicini, Ignacio Perez Ipina, Morten Kringelbach, Gustavo Deco, Helmut Laufs, Enzo Tagliazucchi
CHAOS SOLITONS & FRACTALS
(2020)
Article
Neurosciences
Eswar Damaraju, Enzo Tagliazucchi, Helmut Laufs, Vince D. Calhoun
Article
Neurosciences
F. von Wegner, S. Bauer, F. Rosenow, J. Triesch, H. Laufs
Summary: The study examines spatio-temporal patterns in EEG through microstate analysis, revealing a link between resting-state microstates and alpha frequencies, as well as periodic recurrence. It was found that only the phase component contributes to the periodicity of microstate sequences, while amplitude sequences exhibit a slow and monotonic information decay. By simulating EEG dynamics with coupled nonlinear oscillators, similar phase-amplitude dynamics were observed, particularly during a supercritical Hopf bifurcation.
Article
Physics, Multidisciplinary
Yonatan Sanz Perl, Hernan Bocaccio, Ignacio Perez-Ipina, Federico Zamberlan, Juan Piccinini, Helmut Laufs, Morten Kringelbach, Gustavo Deco, Enzo Tagliazucchi
PHYSICAL REVIEW LETTERS
(2020)
Article
Mathematics, Applied
Juan Piccinini, Ignacio Perez Ipinna, Helmut Laufs, Morten Kringelbach, Gustavo Deco, Yonatan Sanz Perl, Enzo Tagliazucchi
Summary: The translation discusses an open problem in neuroscience of understanding complex spatiotemporal dynamics in neural systems. Computational models were used to compare two mechanisms, with the chaotic model showing better performance in capturing multiple observables. The results support the view of the brain as a non-equilibrium system.
Article
Neurosciences
Gerald Hahn, Gorka Zamora-Lopez, Lynn Uhrig, Enzo Tagliazucchi, Helmut Laufs, Dante Mantini, Morten L. Kringelbach, Bechir Jarraya, Gustavo Deco
Summary: During the sleep-wake cycle, the brain undergoes profound dynamical changes, with different consciousness states reliably distinguished by differences in brain-wide signals. A whole-brain computational model accurately reproduces changes in global synchronization across vigilance states, while connectivity hubs in the posterior brain and subcortical nuclei are crucial for maintaining the awake state.
Article
Mathematics, Applied
Sofia Morena del Pozo, Helmut Laufs, Vincent Bonhomme, Steven Laureys, Pablo Balenzuela, Enzo Tagliazucchi
Summary: The study found that loss of consciousness reconfigures network flexibility and reduces the size of the core region, providing support for the dynamic core hypothesis.
Article
Biology
Joan Rue-Queralt, Angus Stevner, Enzo Tagliazucchi, Helmut Laufs, Morten L. Kringelbach, Gustavo Deco, Selen Atasoy
Summary: The study presents a method to calculate low dimensional manifolds in human brain dynamics, revealing nonlinear differences between wakefulness and various sleep stages, with a high decoding accuracy of 96%. Interestingly, the intrinsic manifolds of all participants share a common topology, indicating a consistent underlying structure in brain activity dynamics.
COMMUNICATIONS BIOLOGY
(2021)
Article
Multidisciplinary Sciences
Wenjun Jia, Frederic von Wegner, Mengting Zhao, Yong Zeng
Summary: In a simulation of the design process, it was found that idea generation is associated with the highest cognitive workload and lowest cognitive control compared to other design activities. EEG data analysis and microstate analysis supported this finding.
SCIENTIFIC REPORTS
(2021)
Article
Physics, Fluids & Plasmas
Yonatan Sanz Perl, Hernan Bocaccio, Carla Pallavicini, Ignacio Perez-Ipina, Steven Laureys, Helmut Laufs, Morten Kringelbach, Gustavo Deco, Enzo Tagliazucchi
Summary: The study found that the brain dynamics in unconscious states are closer to equilibrium, while the brain dynamics in conscious wakefulness are more imbalanced. This demonstrates that nonequilibrium macroscopic brain dynamics are a robust signature of consciousness, allowing for the characterization of cognition and awareness using tools from statistical mechanics.
Review
Materials Science, Multidisciplinary
Fandi Chen, Yingze Zhou, Yanzhe Zhu, Renbo Zhu, Peiyuan Guan, Jiajun Fan, Lu Zhou, Nagarajan Valanoor, Frederic von Wegner, Ed Saribatir, Ingvars Birznieks, Tao Wan, Dewei Chu
Summary: Artificial synapses are memristor-based devices used in neuromorphic computing systems to mimic biological synapses; they can potentially overcome the shortcomings of the von Neumann computer architecture. Since HP Labs fabricated the first practical memristor device, artificial synapses have garnered attention in the field.
JOURNAL OF MATERIALS CHEMISTRY C
(2021)
Article
Engineering, Biomedical
Eric Elzenheimer, Helmut Laufs, Wilhelm Schulte-Mattler, Gerhard Schmidt
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2020)
Article
Neurosciences
Jose Sanchez-Bornot, Roberto C. Sotero, J. A. Scott Kelso, Ozguer Simsek, Damien Coyle
Summary: This study proposes a multi-penalized state-space model for analyzing unobserved dynamics, using a data-driven regularization method. Novel algorithms are developed to solve the model, and a cross-validation method is introduced to evaluate regularization parameters. The effectiveness of this method is validated through simulations and real data analysis, enabling a more accurate exploration of cognitive brain functions.