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
Biology
Xi Chen, Haoda Ren, Zhonghua Tang, Ke Zhou, Liqin Zhou, Zhentao Zuo, Xiaohua Cui, Xiaosong Chen, Zonghua Liu, Yong He, Xuhong Liao
Summary: This study uses an eigen-microstate analysis to identify five leading basic modes of spontaneous brain activity and reveals their relationship with specific cognitive functions. These basic modes play a dominant role in coordinating interregional activity and driving functional connectivity.
COMMUNICATIONS BIOLOGY
(2023)
Article
Neurosciences
Eric Rawls, Erich Kummerfeld, Bryon A. Mueller, Sisi Ma, Anna Zilverstand
Summary: This study demonstrates a data-driven approach for calculating directed connectivity in the brain using resting-state fMRI data. The authors found that the constructed causal connectomes were sparse yet fully connected in most cases, with prominent hubs in attentional and executive networks. Virtual lesion analyses further revealed that these hub networks are critical points of vulnerability. These findings highlight the central role of attention and executive control networks in the human brain and have implications for psychiatry.
Article
Neurosciences
Cecilia Boccalini, Elisa Bortolin, Giulia Carli, Andrea Pilotto, Andrea Galbiati, Alessandro Padovani, Luigi Ferini-Strambi, Daniela Perani
Summary: Using a brain metabolic connectivity approach, this study investigates the changes in large-scale networks across the Lewy Bodies disorders spectrum. The findings show that metabolic connectivity alterations are present in the early stage of REM sleep behavior disorder, resembling the changes seen in Dementia with Lewy Bodies, while Parkinson's disease mainly affects motor and somatosensory networks.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Kyesam Jung, B. Simon Eickhoff, V. Oleksandr Popovych
Summary: This study investigates the impact of diffusion-weighted data processing parameters on the validation results of whole-brain mathematical models informed by structural connectivity (SC). It is found that the graph-theoretical network properties of the structural connectome are influenced by tractography density, and the optimal number of total streamlines of whole-brain tractography can vary for different brain atlases.
Article
Neurosciences
Marlena Duda, Danai Koutra, Chandra Sripada
Summary: This study investigates the presence of dynamic functional connectivity during rest and proposes a data-driven framework for studying cognitive neuroscience questions using connectivity changes. The framework outperforms the traditional sliding window approach in accuracy and computational efficiency when applied to working memory task data. Additionally, when applied to resting state fMRI data, the method consistently identifies five reliable FC states which show significant correlation with behavioral phenotypes.
HUMAN BRAIN MAPPING
(2021)
Article
Behavioral Sciences
Takashi Itahashi, Neda Kosibaty, Ryu-Ichiro Hashimoto, Yuta Y. Aoki
Summary: Better life satisfaction can be predicted from intrinsic functional connectivity, as shown by using resting-state functional magnetic resonance imaging data. The model successfully predicted life satisfaction levels in young adults and contributed towards identifying the neural basis of life satisfaction.
BRAIN AND BEHAVIOR
(2021)
Article
Neurosciences
Oleksandr Popovych, Kyesam Jung, Thanos Manos, Sandra Diaz-Pier, Felix Hoffstaedter, Jan Schreiber, B. T. Thomas Yeo, Simon B. Eickhoff
Summary: Modern approaches in studying complex brain dynamics suggest representing the brain as a functional network defined by brain regions, with brain atlases strongly influencing model validation quality. Research explores the impact of brain atlases on model fitting to empirical data, aiming to provide comprehensive empirical evidence on the potential influences of parcellation choice.
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
Long Jin, Menghui Yuan, Jiajie Chen, Wei Zhang, Lei Wang, Yixin Wei, Yunbo Li, Zhirui Guo, Wei Wang, Longxiao Wei, Qiang Li
Summary: This study aimed to investigate the abnormal glucose metabolism and metabolic connectivity in individuals with heroin dependence. The results showed reduced glucose metabolism in the bilateral anterior insula and inferior parietal lobule, as well as decreased metabolic connectivity between the right anterior insula and left dorsolateral prefrontal cortex. Additionally, the daily dose of methadone was negatively correlated with glucose metabolism.
JOURNAL OF PSYCHIATRY & NEUROSCIENCE
(2023)
Article
Multidisciplinary Sciences
Teuntje A. D. Pelgrim, Matthijs G. Bossong, Analia Cuiza, Luz Maria Alliende, Carlos Mena, Angeles Tepper, Juan Pablo Ramirez-Mahaluf, Barbara Iruretagoyena, Claudia Ornstein, Rosemarie Fritsch, Juan Pablo Cruz, Cristian Tejos, Gabriela Repetto, Nicolas Crossley
Summary: 22q11 deletion syndrome is a genetic disorder associated with a high risk of developing psychosis, and studies have shown abnormal functional brain connectivity similar to schizophrenia. Graph theory analysis of fMRI data revealed globally reduced connectivity strength and abnormal local topological properties in 22q11 deletion syndrome patients, indicating a vulnerability factor to psychosis.
SCIENTIFIC REPORTS
(2021)
Article
Geriatrics & Gerontology
Nathalie Mertens, Stefan Sunaert, Koen Van Laere, Michel Koole
Summary: Contrary to group-based analyses, this study aimed to construct individual brain metabolic networks to investigate age-related effects on brain metabolic connectivity. The results showed a decrease in metabolic connectivity strength with healthy aging within the whole brain and several subnetworks. Additionally, there was a less integrated and less segregated network observed with aging, while the distribution and number of hubs did not change. These findings are important for differentiating between age-related changes in brain metabolic connectivity strength and changes caused by early neurodegeneration.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Multidisciplinary Sciences
Z. Moradimanesh, R. Khosrowabadi, M. Eshaghi Gordji, G. R. Jafari
Summary: The complexity of a network is determined not only by its size but also by the interactions between elements. The complexity of brain networks also arises from interactions beyond pair connections, particularly in genetically complex brain impairments like ASD. By analyzing ASD and control networks using structural balance theory, it was found that balanced triads are overrepresented in the ASD networks, providing empirical evidence for the concept of structural balance on brain networks.
SCIENTIFIC REPORTS
(2021)
Article
Neurosciences
Uijong Ju
Summary: This study used task and resting-state functional connectivity to predict aberrant driving behavior and associated personality traits. The results showed that functional connectivity significantly predicted driving violations and lapses, while task-based functional connectivity tended to predict errors. However, neither impulsivity nor sensation-seeking was associated with functional connectivity.
Article
Neurosciences
You Xu, Yajie Wang, Nannan Hu, Lili Yang, Zhenghe Yu, Li Han, Qianqian Xu, Jingjing Zhou, Ji Chen, Hongjing Mao, Yafeng Pan
Summary: This study investigated the intrinsic organization of brain networks in MDD patients using rs-fNIRS and found that these patients had a more integrated brain network with lower nodal local efficiency in the occipital hub, which could predict depressive symptoms.
Review
Oncology
Anna Maria Grimaldi, Marco Salvatore, Carlo Cavaliere
Summary: Our analysis provides a snapshot of the current scenario regarding EVs as potential clinical biomarkers in resistant prostate cancer. Nevertheless, despite many efforts, the use of EV biomarkers in PCa is currently at an early stage: none of the selected EV biomarkers goes beyond preclinical studies, and their translatability is yet far from clinical settings.
PROSTATE CANCER AND PROSTATIC DISEASES
(2023)
Article
Psychology, Experimental
Giovanni Federico, Francois Osiurak, Maria Antonella Brandimonte, Marco Salvatore, Carlo Cavaliere
Summary: This study investigated the visual encoding modalities of participants in a free-observation task using eye-tracking. The results showed that participants allocated their visual-spatial attention differently to the manipulation and functional areas of objects over time. The repetition of stimuli significantly decreased attention to the functional areas, while attention to the manipulation areas remained stable.
PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG
(2023)
Article
Chemistry, Analytical
Valentina Brancato, Nadia Brancati, Giusy Esposito, Massimo La Rosa, Carlo Cavaliere, Ciro Allara, Valeria Romeo, Giuseppe De Pietro, Marco Salvatore, Marco Aiello, Mara Sangiovanni
Summary: Breast cancer is the most common cancer among women worldwide, and its heterogeneity can be predicted through radiomics using medical imaging. However, the lack of comprehensive datasets and a general methodology limits the routine use of radiomics in breast cancer clinical practice.
Review
Cardiac & Cardiovascular Systems
Paola Gargiulo, Federica Marzano, Marco Salvatore, Christian Basile, Davide Buonocore, Antonio Luca Maria Parlati, Ermanno Nardi, Gaetano Asile, Vincenza Abbate, Angela Colella, Alfonsina Chirico, Caterina Marciano, Stefania Paolillo, Pasquale Perrone-Filardi
Summary: Heart failure is a significant health issue with a high burden on both society and the economy. Recent research has shown that microRNAs play an important role in the development and prognosis of heart failure, serving as biomarkers for diagnosis and prognosis. Exploration of microRNAs as potential therapeutic targets is also ongoing.
Review
Neurosciences
Giuseppina Ciccarelli, Giovanni Federico, Giulia Mele, Angelica Di Cecca, Miriana Migliaccio, Ciro Rosario Ilardi, Vincenzo Alfano, Marco Salvatore, Carlo Cavaliere
Summary: Neurofeedback (NF) is a biofeedback technique that uses brain activations to modify emotional, cognitive, and behavioral functions. EEG and fMRI are often used separately in NF, but few studies have combined both techniques. This systematic review of 17 EEG-fMRI-NF studies found a lack of homogeneity, making it difficult to draw conclusions about the therapeutic efficacy of NF. More research is needed to fully understand the potential of EEG-fMRI-NF for neurological conditions.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Clinical Neurology
Moira Marizzoni, Peppino Mirabelli, Elisa Mombelli, Luigi Coppola, Cristina Festari, Nicola Lopizzo, Delia Luongo, Monica Mazzelli, Daniele Naviglio, Jean-Louis Blouin, Marc Abramowicz, Marco Salvatore, Michela Pievani, Annamaria Cattaneo, Giovanni B. Frisoni
Summary: This study investigates the association between gut microbiota and the amyloid cascade in sporadic AD, and examines the potential mediators of the microbiota-gut-brain axis. It finds that specific bacterial genera are associated with immune and endothelial markers, and these markers are associated with amyloid cascade markers in sporadic AD.
ALZHEIMERS RESEARCH & THERAPY
(2023)
Article
Neurosciences
Vincenzo Alfano, Carlo Cavaliere, Angelica Di Cecca, Giuseppina Ciccarelli, Marco Salvatore, Marco Aiello, Giovanni Federico
Summary: This study used resting-state functional magnetic resonance imaging to investigate the functional connectivity of networks involved in interoception between males and females. The results showed that there is a difference in interoceptive ability between biological sexes, with females exhibiting higher scores. Significant correlations were found between interoception scores and functional connectivity in the Salience network and fronto-temporo-parietal brain areas, with a stronger prevalence in females. These findings suggest a female advantage in attention towards internal bodily sensations and highlight common inter-network areas involved in creating the sense of self.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Physiology
Marika Valentino, Vittorio Bianco, Lisa Miccio, Pasquale Memmolo, Valentina Brancato, Paolo Libretti, Marcello Gambacorta, Marco Salvatore, Pietro Ferraro
Summary: Kidney microscopy is essential for studying the morphology, physiology, and pathology of kidney tissues, providing important results for diagnosis. Fourier Ptychography (FP) is a microscopy technique that offers high-resolution images and a wide field of view, making it an attractive option for histopathology. This study presents the first comprehensive collection of kidney tissue images captured by an FP microscope, demonstrating the potential of FP microscopy in clinical practice for kidney histopathology.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Medicine, General & Internal
Lorena Buono, Concetta Iside, Giovanni Pecoraro, Antonia De Matteo, Giuliana Beneduce, Roberta Penta de Vera d'Aragona, Rosanna Parasole, Peppino Mirabelli, Luigi Vitagliano, Marco Salvatore, Giovanni Smaldone
Summary: Acute leukemia, the most common pediatric cancer, is caused by the malignant transformation of B-cell or T-cell progenitors. The study found that KCTD15 was overexpressed in both B-ALL and T-ALL patients, while KCTD1 was upregulated in T-ALL patients. This study not only evaluated the dysregulation of all KCTDs simultaneously in specific pathological contexts for the first time, but also identified a potential biomarker for T-ALL.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Multidisciplinary Sciences
Mario Verdicchio, Valentina Brancato, Carlo Cavaliere, Francesco Isgro, Marco Salvatore, Marco Aiello
Summary: This study proposed a novel pathomic approach for the classification of tumor-infiltrating lymphocytes (TILs) in breast cancer histopathological whole slide images. By extracting pathomic features and using machine learning models, the researchers achieved a good classification performance for TILs.
Article
Radiology, Nuclear Medicine & Medical Imaging
Pasquale Borrelli, Giovanni Savini, Carlo Cavaliere, Fulvia Palesi, Maria Grazia Bruzzone, Domenico Aquino, Laura Biagi, Paolo Bosco, Irene Carne, Stefania Ferraro, Giovanni Giulietti, Antonio Napolitano, Anna Nigri, Luigi Pavone, Alice Pirastru, Alberto Redolfi, Fabrizio Tagliavini, Michela Tosetti, Marco Salvatore, Claudia A. M. Gandini Wheeler-Kingshott, Marco Aiello, RIN Neuroimaging Network
Summary: This study investigates the reproducibility and variability of topological metrics derived from structural connectomes in the clinical context. The data from the Italian Neuroscience and Neurorehabilitation Network initiative were used to obtain normative values and examine the reproducibility and variability across different centers. The results show significant differences among the centers.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2023)
Article
Medicine, General & Internal
Concetta Iside, Ornella Affinito, Bruna Punzo, Marco Salvatore, Peppino Mirabelli, Carlo Cavaliere, Monica Franzese
Summary: Coronary artery disease (CAD) is a long-term inflammatory process in which atherosclerosis plays a key role. Damaged endothelial cells release pro-inflammatory cytokines, contributing to vascular inflammation and disease progression. This study found increased levels of several cytokines in the serum of CAD patients, with most cytokines showing a gradual increase with disease severity. Moreover, the combination of serum cytokines may aid in risk stratification for patients suspected of having CAD.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Medicine, General & Internal
Dario Baldi, Liberatore Tramontano, Bruna Punzo, Carlo Cavaliere
Summary: Ectopic teeth in the maxillary sinus are rare and pose challenges in diagnosis and management. This case report highlights the use of CT scan and cinematic rendering to visualize ectopic teeth in the maxillary sinus. Cinematic rendering provides detailed and accurate visualization, aiding in diagnosis and surgical planning.
