Article
Multidisciplinary Sciences
Rafael Pedrosa, Mojtaba Nazari, Majid H. Mohajerani, Thomas Knopfel, Federico Stella, Francesco P. Battaglia
Summary: Hippocampus-neocortex interactions play a critical role in memory processes during sleep. Activation transients in the neocortex are associated with communication across remote brain areas and consolidation processes rely on bidirectional signaling between hippocampus and neocortex, with slow gamma rhythms being particularly important.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Neurosciences
Junli Li, Changlian Tan, Lin Zhang, Sainan Cai, Qin Shen, Qinru Liu, Min Wang, Chendie Song, Fan Zhou, Jiaying Yuan, Yujing Liu, Bowen Lan, Haiyan Liao
Summary: This study investigated neural network changes in early Parkinson's disease using resting-state functional magnetic resonance imaging. The results showed significant differences in intra-network connectivity, particularly in the default mode network (DMN) and right frontoparietal network (RFPN), between both early/mild and early/moderate Parkinson's disease groups and healthy controls. Reduced connectivity was observed between the executive control network (ECN) and DMN, as well as ECN-left frontoparietal network (LFPN), in early/mild Parkinson's disease. Early/moderate Parkinson's disease exhibited decreased connectivity in ECN-LFPN, ECN-RFPN, ECN-DMN, and DMN-auditory network, along with increased connectivity in LFPN-cerebellar network. Correlations were found between ECN-DMN and ECN-LFPN connections with UPDRS-III scores in early/mild Parkinson's disease. These findings suggest that PD progression involves dysfunction in multiple intra- and inter-networks, particularly implicating the ECN, and a wider range of abnormal functional networks may mark the progression of the disease.
Article
Clinical Neurology
Andrea Guerra, Donato Colella, Margherita Giangrosso, Antonio Cannavacciuolo, Giulia Paparella, Giovanni Fabbrini, Antonio Suppa, Alfredo Berardelli, Matteo Bologna
Summary: In this study, the authors found that abnormal beta and gamma oscillations in the basal ganglia are related to bradykinesia in patients with Parkinson's disease. Transcranial alternating current stimulation (tACS) can modulate cortical rhythms and was found to affect movement speed and amplitude in this study. Changes in inhibitory interneuronal activity may reflect compensatory mechanisms in the primary motor cortex (M1) to counteract bradykinesia.
Article
Neurosciences
Martin Lamos, Martina Bockova, Sabina Goldemundova, Marek Balaz, Jan Chrastina, Ivan Rektor
Summary: This study evaluated the effect of deep brain stimulation (DBS) on cortical networks in Parkinson's disease using EEG microstates. It was found that there were differences in microstates between patients and healthy controls, as well as changes in microstates with DBS. These changes were correlated with clinical and neuropsychological scores.
NPJ PARKINSONS DISEASE
(2023)
Article
Clinical Neurology
Jun Li, Ben-Fan Zhu, Zhu-Qin Gu, Hui Zhang, Shan-Shan Mei, Shao-Zhen Ji, Shu-Ying Liu, Chao Han, Huai-Zhen Chen, Piu Chan
Summary: Musculoskeletal pain is common in PD patients, with lower limbs and back being the typical sites. Female sex and Levodopa dosage are associated with an increased risk of musculoskeletal pain, while pain duration, motor symptoms, and depression significantly impact quality of life.
FRONTIERS IN NEUROLOGY
(2022)
Article
Biology
Eitan E. Asher, Meir Plotnik, Moritz Gunther, Shay Moshel, Orr Levy, Shlomo Havlin, Jan W. Kantelhardt, Ronny P. Bartsch
Summary: Through analyzing synchronization networks of EEG brain waves from three PD patient groups with varying FoG severity, the study found that increased PD and FoG severity is associated with higher EEG amplitude synchronization between different brain locations. The results suggest a potential relationship between PD/FoG severity and overall EEG synchronization, providing insight into the pathophysiology leading to FoG.
COMMUNICATIONS BIOLOGY
(2021)
Article
Neurosciences
Zhaoxiang Zhou, Penghai Ye, Xu-Hui Li, Yuxiang Zhang, Muhang Li, Qi-Yu Chen, Jing-Shan Lu, Man Xue, Yanan Li, Weiqi Liu, Lin Lu, Wantong Shi, Ping-Yi Xu, Min Zhuo
Summary: In this study, changes in motor, sensory, and emotional aspects were investigated in three different PD mice models, with significant alterations observed after MPTP treatment. Inhibiting ACC showed a reduction in mechanical hypersensitivity and anxiety-like responses, indicating the involvement of ACC activity in sensory and emotional changes. Our findings suggest enhanced ACC synaptic transmission in the animal model of PD, emphasizing the potential role of cortical excitation in PD-related pain and anxiety symptoms.
Article
Rehabilitation
Conran Joseph, Hanna Johansson, Breiffni Leavy, Erika Franzen
Summary: This study demonstrates the convergent and divergent validity of the Swedish translated version of the King's Parkinson's disease Pain Scale. The prevalence of pain in persons with Parkinson's disease is 57%, with musculoskeletal pain being the most common, followed by chronic and radicular pain.
JOURNAL OF REHABILITATION MEDICINE
(2023)
Review
Neurosciences
Linette Liqi Tan, Manfred Josef Oswald, Rohini Kuner
Summary: Pain is a complex perceptual phenomenon involving coordinated activity among local and distant brain networks. Brain oscillatory rhythms play a key role in pain networks by coordinating activity across local neuronal ensembles and anatomically distant brain areas. Therapeutic modulation of oscillatory rhythms has the potential to alleviate pain, with outstanding questions and challenges to be addressed in future research.
TRENDS IN NEUROSCIENCES
(2021)
Review
Neurosciences
Jing-Shan Lu, Qi-Yu Chen, Xiang Chen, Xu-Hui Li, Zhaoxiang Zhou, Qin Liu, Yuwan Lin, Miaomiao Zhou, Ping-Yi Xu, Min Zhuo
Summary: Parkinson's disease is the second most common neurodegenerative disorder after Alzheimer's disease, often accompanied by chronic pain. Degeneration of dopaminergic neurons is the key mechanism of Parkinson's disease, leading to dysfunction in the nociceptive system.
Article
Clinical Neurology
Liang Gao, Weiling Huang, Laisheng Cai, Yufen Peng
Summary: The Chinese translation of King's Parkinson's Disease Pain Scale (KPPS) is a reliable tool to assess pain characteristics and severity in patients with Parkinson's disease (PD), and it has the ability to distinguish different levels of pain severity.
JOURNAL OF PAIN RESEARCH
(2022)
Article
Clinical Neurology
Matteo Conti, Andrea Guerra, Mariangela Pierantozzi, Roberta Bovenzi, Valentina D'Onofrio, Clara Simonetta, Rocco Cerroni, Claudio Liguori, Fabio Placidi, Nicola Biagio Mercuri, Francesca Di Giuliano, Tommaso Schirinzi, Alessandro Stefani
Summary: This study investigates the resting-state functional connectivity (FC) abnormalities in early-stage Parkinson's disease (PD) patients using high-density electroencephalography (EEG). The findings suggest that frequency-specific FC changes in PD are associated with motor and non-motor symptoms, reflecting dysfunction in distinct cortical networks from the early stage of the disease.
MOVEMENT DISORDERS
(2023)
Article
Clinical Neurology
J. Naisby, R. A. Lawson, B. Galna, L. Alcock, D. J. Burn, L. Rochester, A. J. Yarnall
Summary: Pain is a common non-motor symptom in Parkinson's disease, with unexplained pain being prevalent even in early stages. The frequency and type of pain fluctuates as symptoms progress, highlighting the importance of asking PD patients about their pain at clinical consultations and providing support in describing it.
JOURNAL OF NEUROLOGY
(2021)
Article
Anesthesiology
Henrik Heitmann, Cristina Gil Avila, Moritz M. Nickel, Son Ta Dinh, Elisabeth S. May, Laura Tiemann, Vanessa D. Hohn, Thomas R. Toelle, Markus Ploner
Summary: Chronic pain is associated with changes in brain structure and function. This study found that interdisciplinary multimodal pain therapy led to significant improvements in pain intensity, pain-related disability, and depression. These improvements were associated with an increase in global network efficiency at theta frequencies, suggesting that changes in chronic pain may be reflected in global network changes. This provides further insights into the brain mechanisms of chronic pain and may help identify biomarkers for monitoring chronic pain.
Review
Clinical Neurology
Parisa Alizadeh, Cinthia Terroba-Chambi, Beatrice Achen, Veronica Bruno
Summary: This comprehensive review analyzes the association between pain and monogenic forms of Parkinson's disease (PD). The findings suggest that individuals with different pathogenic variants may experience different types of pain. However, there is insufficient evidence for pain associated with certain pathogenic variants.
FRONTIERS IN NEUROLOGY
(2023)
Article
Neurosciences
Laura Alethia de la Fuente, Federico Zamberlan, Hernan Bocaccio, Morten Kringelbach, Gustavo Deco, Yonatan Sanz Perl, Carla Pallavicini, Enzo Tagliazucchi
Summary: This study used a data-driven deep learning framework to decode the temporal inversion of brain signals during conscious perception. The results showed that brain activity during conscious wakefulness could be distinguished from its inverted counterparts with high accuracy, but this accuracy was reduced during deep sleep and under anesthesia. Additionally, the predictions obtained from multiple independent neural networks were less consistent for sleep and anesthesia than for conscious wakefulness.
Article
Pediatrics
Nadia F. Hoegholt, Svend Buus, Angus B. A. Stevner, Jie Sui, Peter Vuust, Morten L. Kringelbach
Summary: This study examined the impact of sleep deprivation on the self-infant prioritization effect in first-time mothers. The findings showed that sleep-deprived mothers prioritized infants over themselves, while non-sleep-deprived mothers did not show any prioritization of self over the infant.
Article
Neurosciences
L. Bonetti, E. Brattico, S. E. P. Bruzzone, G. Donati, G. Deco, D. Pantazis, P. Vuust, M. L. Kringelbach
Summary: This study used magnetoencephalography to investigate the neural mechanisms of memory for sequences and found that recognition of previously memorized sequences is associated with slower brain processing, while recognition of novel sequences requires faster brain processing.
Article
Neurosciences
N. F. Hoegholt, L. Bonetti, A. B. A. Stevner, C. E. Andersen, M. Hughes, H. M. Fernandes, P. Vuust, M. L. Kringelbach
Summary: Studies using MEG have found that the orbitofrontal cortex is an important hub for the parental instinct in the brain, and it is linked to reward, emotion regulation, empathy, and mentalization networks. In this study, MEG was used to investigate the brain responses of first-time mothers listening to infant and adult cry vocalizations. It was found that mothers with weaker bonding scores showed decreased brain responses to infant cries in various brain regions. However, no correlation was found with sleep deprivation scores.
Article
Neurosciences
Josephine Cruzat, Ruben Herzog, Pavel Prado, Yonatan Sanz-Perl, Raul Gonzalez-Gomez, Sebastian Moguilner, Morten L. Kringelbach, Gustavo Deco, Enzo Tagliazucchi, Agustin Ibanez
Summary: Healthy brain dynamics are characterized by a complex system that is far from thermodynamic equilibrium. However, Alzheimer's disease (AD) disrupts the time-reversal symmetry of brain activity, moving it towards equilibrium dynamics. Through the analysis of brain data from AD patients and healthy control subjects, it was found that AD is associated with a decrease in temporal irreversibility at global, local, and network levels, affecting multiple frequency bands. Specifically, frontal and temporoparietal regions were most affected at the local level, while limbic, frontoparietal, default mode, and salience networks were most compromised at the network level. Temporal reversibility was related to cognitive decline in AD and gray matter volume in healthy control subjects.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Multidisciplinary Sciences
Morten L. Kringelbach, Yonatan Sanz Perl, Enzo Tagliazucchi, Gustavo Deco
Summary: Using a large-scale neuroimaging dataset, this study investigates the hierarchical reorganization of the brain's functional activity during naturalistic movie-watching compared to cognitive tasks and resting. The findings show that the hierarchy is flatter and the non-reversibility is smaller during movie-watching. The underlying mechanisms are revealed by a model-based generative effective connectivity (GEC). Overall, this study demonstrates the benefits of using naturalistic neuroscience in understanding brain function.
Review
Biochemistry & Molecular Biology
Jakub Vohryzek, Joana Cabral, Francesca Castaldo, Yonatan Sanz-Perl, Louis-David Lord, Henrique M. Fernandes, Vladimir Litvak, Morten L. Kringelbach, Gustavo Deco
Summary: Traditionally, model-free analyses are used in neuroimaging to detect significant differences between brain states. However, the challenge remains in assessing transitions between different brain states. This study introduces a Dynamic Sensitivity Analysis framework that quantifies these transitions and aims to rebalance brain activity towards a target state, such as healthy brain dynamics.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2023)
Article
Biology
Andrea I. I. Luppi, Jakub Vohryzek, Morten L. L. Kringelbach, Pedro A. M. Mediano, Michael M. M. Craig, Ram Adapa, Robin L. L. Carhart-Harris, Leor Roseman, Ioannis Pappas, Alexander R. D. Peattie, Anne E. E. Manktelow, Barbara J. J. Sahakian, Paola Finoia, Guy B. B. Williams, Judith Allanson, John D. D. Pickard, David K. K. Menon, Selen Atasoy, Emmanuel A. A. Stamatakis
Summary: Connectome harmonic decomposition analysis reveals how neuromodulation and the network architecture of the human connectome jointly shape consciousness and distributed functional activation across scales. Functional MRI signals from pathological and pharmacologically-induced perturbations of consciousness are decomposed into distributed patterns of structure-function dependence across scales using the harmonic modes of the human structural connectome. The study demonstrates that structure-function coupling is a generalizable indicator of consciousness under bi-directional neuromodulatory control, with different patterns observed in cases of loss of consciousness and altered states induced by psychedelic substances.
COMMUNICATIONS BIOLOGY
(2023)
Article
Neurosciences
Ludovica Mana, Manel Vila-Vidal, Charlotte Kockeritz, Kevin Aquino, Alex Fornito, Morten L. Kringelbach, Gustavo Deco
Summary: Through analyzing resting-state fMRI data from 47 schizophrenia patients and 118 age-matched healthy controls, this study found that brain dynamics in schizophrenia patients were characterized by an increased probability of globally coherent states and reduced recurrence of a substate dominated by coupled activity in the default mode and limbic networks. By using in silico perturbation of a whole-brain model, critical areas involved in the disease were identified. Perturbing temporo-parietal sensory and associative areas in a healthy brain model reproduced global pathological dynamics, while perturbing medial fronto-temporal and cingulate regions restored healthy brain dynamics in the model of pathology.
Article
Biochemical Research Methods
Pau Clusella, Gustavo S. Deco, Morten Kringelbach, Giulio S. Ruffini, Jordi Garcia-Ojalvo
Summary: In this study, the authors investigate the complex spatiotemporal dynamics in large-scale brain models. They show that destabilization of a synchronized oscillatory state can lead to the emergence of traveling waves and high-dimensional chaos. This work establishes a general route towards understanding spatiotemporal oscillations in the brain.
PLOS COMPUTATIONAL BIOLOGY
(2023)
Article
Biology
Yonatan Sanz Perl, Sol Fittipaldi, Cecilia Gonzalez Campo, Sebastian Moguilner, Josephine Cruzat, Matias E. Fraile-Vazquez, Ruben Herzog, Morten L. Kringelbach, Gustavo Deco, Pavel Prado, Agustin Ibanez, Enzo Tagliazucchi, Muireann Irish
Summary: To address the lack of interventions for neurodegenerative diseases, this study combined deep learning with a model of whole-brain functional connectivity in Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) patients. Disease-specific atrophy maps were used to modulate local parameters, revealing stable dynamics in the hippocampus and insula as indicators of brain atrophy in AD and bvFTD, respectively. By using variational autoencoders, the evolution of different pathologies and their severity were visualized in a low-dimensional latent space. Perturbing the model identified key regions specific to AD and bvFTD, allowing transitions from pathological to healthy brain states. Overall, this study provides new insights into disease progression and control in neurodegeneration through external stimulation and uncovers the underlying dynamic mechanisms driving functional alterations.
Article
Biology
Adrian Ponce-Alvarez, Morten L. Kringelbach, Gustavo Deco
Summary: Human fMRI and dMRI data were used to test the phenomenological renormalization group (PRG) method and found that the scale invariance of rs-fMRI activity may emerge from criticality and exponentially decaying connectivity between brain regions.
COMMUNICATIONS BIOLOGY
(2023)
Article
Neurosciences
Sonsoles Alonso, Anna Tyborowska, Nessa Ikani, Roel J. T. Mocking, Caroline A. Figueroa, Aart H. Schene, Gustavo Deco, Morten L. Kringelbach, Joana Cabral, Henricus G. Ruhe
Summary: 《Dynamic Changes in Brain Network Connectivity during Recurrence of Major Depressive Disorder》This study investigated the dynamic changes in brain connectivity during the transition from remission to recurrence in major depressive disorder (MDD) patients. The findings showed that during recurrence, there was increased activity in the basal ganglia-anterior cingulate cortex and visuo-attentional networks, as well as a longer duration of activation in the default mode network. Additionally, the synchrony between the reward network and the rest of the brain was significantly reduced during recurrence. These results provide initial evidence of altered dynamical exploration of functional networks during a recurrent depressive episode.
HUMAN BRAIN MAPPING
(2023)
Article
Neurosciences
Andrea I. Luppi, Joana Cabral, Rodrigo Cofre, Pedro A. M. Mediano, Fernando E. Rosas, Abid Y. Qureshi, Amy Kuceyeski, Enzo Tagliazucchi, Federico Raimondo, Gustavo Deco, James M. Shine, Morten L. Kringelbach, Patricio Orio, ShiNung Ching, Yonatan Sanz Perl, Michael N. Diringer, Robert D. Stevens, Jacobo Diego Sitt
Summary: Disorders of consciousness are challenging conditions characterized by persistent loss of responsiveness due to brain injury, requiring a better understanding of the neural mechanisms underlying human consciousness and improved treatment options. The increasing availability of multimodal neuroimaging data has led to various modeling efforts to stratify patients, identify causal mechanisms, and test potential treatment avenues in silico. This article provides a framework and vision for the field of modeling disorders of consciousness, addressing the gaps between current approaches and the desired outcomes, and offers recommendations for collaborative efforts to meet these challenges.
Review
Behavioral Sciences
Olivia Foster Vander Elst, Nicholas H. D. Foster, Peter Vuust, Peter E. Keller, Morten L. Kringelbach
Summary: In this article, a conceptual framework and systematic review are provided for researching the neuroscience of dance. Future research directions include the interactive and collective aspects of dance, dance performance, observation, and therapy. Dance and music engage overlapping brain networks and have similar processing mechanisms in perception, action, and emotion. The neuroscience of dance is an exciting field that can provide insights into the links between psychological processes, behavior, human flourishing, and eudaimonia.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2023)
