Article
Clinical Neurology
Xiao Zhou, Shangran Qiu, Prajakta S. Joshi, Chonghua Xue, Ronald J. Killiany, Asim Z. Mian, Sang P. Chin, Rhoda Au, Vijaya B. Kolachalama
Summary: This study demonstrates that modified Generative Adversarial Networks (GAN) can improve Alzheimer's disease (AD) classification performance by learning from MRI scans of different magnetic field strengths. The study also shows that the image quality of the generated images is consistently higher than original scans.
ALZHEIMERS RESEARCH & THERAPY
(2021)
Review
Clinical Neurology
Jennifer A. Hranilovich, Kristina T. Legget, Keith C. Dodd, Korey P. Wylie, Jason R. Tregellas
Summary: This study aims to ensure that readers are informed consumers of functional magnetic resonance imaging (fMRI) research in headache. It outlines the ongoing challenges in this area and describes potential considerations when asked to collaborate on fMRI research in headache. The study also suggests future directions for improvement in the field.
Article
Neurosciences
Yi-Hui Qiu, Zhi-Heng Huang, Yu-Yuan Gao, Shu-Jun Feng, Biao Huang, Wan-Yi Wang, Qi-Huan Xu, Jie-Hao Zhao, Yu-Hu Zhang, Li-Min Wang, Kun Nie, Li-Juan Wang
Summary: The aim of this research was to investigate alterations in functional brain networks in Parkinson's disease patients with depression (DPD). The study found that DPD patients had decreased local efficiency in certain brain regions compared to healthy controls, and showed weaker connections between different brain regions compared to the control group. These results suggest that PD depression is associated with disruptions in the topological organization of functional brain networks.
CNS NEUROSCIENCE & THERAPEUTICS
(2021)
Article
Behavioral Sciences
Tagiru Nakamura, Tomoko Matsui, Akira Utsumi, Motofumi Sumiya, Eri Nakagawa, Norihiro Sadato
Summary: During conversation, sarcasm is perceived as an incongruity between the context, content, and prosody of the utterance. This study found that prosody modifies the effect of context-content incongruity in sarcasm comprehension. Neuroimaging results revealed the involvement of various brain regions, including the cerebellum, amygdala, and dorsolateral prefrontal cortex, in processing sarcasm and its incongruities.
Article
Neurosciences
Lu Chen, Ting Huang, Di Ma, Yu-Chen Chen
Summary: This study used resting-state functional magnetic resonance imaging (fMRI) to investigate the intrinsic functional connectivity (FC) pattern of the default mode network (DMN) in patients with Parkinson's disease (PD). The results showed increased FC between the posterior cingulate cortex (PCC) and other brain regions in PD patients compared to healthy controls (HCs). The increased FC values in the right precuneus were also positively correlated with motor severity in the PD group. These findings suggest that altered connectivity in the DMN may play a crucial role in the cognitive decline observed in PD.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Teruyuki Matsuoka, Daisuke Ueno, Zahinoor Ismail, Ellen Rubinstein, Hiroyuki Uchida, Masaru Mimura, Jin Narumoto
Summary: The study found a negative correlation between MBI and functional connectivity in the brain, especially in the domain of affective dysregulation, indicating that dysfunction in the FPCN may be associated with cognitive impairment in MBI and progression to dementia. Further longitudinal data are needed to examine this relationship.
JOURNAL OF ALZHEIMERS DISEASE
(2021)
Article
Computer Science, Artificial Intelligence
Xiaofeng Zhu, Hongming Li, Heng Tao Shen, Zheng Zhang, Yanli Ji, Yong Fan
Summary: Sparse learning methods are powerful for learning compact representations of functional brain networks, but often overlook the complementary nodal information. A new data fusion method, focusing on learning sparse network patterns, has been developed to comprehensively characterize functional brain networks. Experimental results show its superiority in accuracy on simulated data and real resting state functional magnetic resonance imaging data.
INFORMATION FUSION
(2021)
Article
Computer Science, Artificial Intelligence
Tianping Chen
Summary: This paper discusses a class of multi-cluster complex networks and analyzes the complete synchronization of such networks in detail. It explores how synchronization depends on the intra coupling matrices, the inter coupling matrices, and the corresponding coupling strengths. The proposed approach also applies to more general networks composed of multi-cluster networks.
Article
Engineering, Electrical & Electronic
Yanjie Zhu, Jing Cheng, Zhuo-Xu Cui, Qingyong Zhu, Leslie Ying, Dong Liang
Summary: Quantitative magnetic resonance imaging (qMRI) aims to obtain quantitative biophysical parameters through physical models and deep learning (DL) has shown potential in reconstructing undersampled MR data. This article introduces the physical models of qMRI and four ways to integrate them into a deep neural network (NN). It also discusses the signal processing issues related to the generalization and reliability of physics-driven DL-based fast qMRI methods.
IEEE SIGNAL PROCESSING MAGAZINE
(2023)
Article
Acoustics
L. P. W. Canjels, C. Ghossein-Doha, R. J. Alers, S. Rutten, M. van den Kerkhof, V. M. M. M. Schiffer, E. Mulder, S. C. Gerretsen, A. P. Aldenkamp, P. P. M. Hurks, V. van de Ven, M. E. A. Spaanderman, J. F. A. Jansen, W. H. Backes
Summary: Formerly pre-eclamptic women exhibit differences in functional brain organization, especially in the limbic regions and the prefrontal cortex, which may explain the commonly reported emotional symptoms and cognitive complaints.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY
(2022)
Article
Multidisciplinary Sciences
Huawei Fan, Ling-Wei Kong, Xingang Wang, Alan Hastings, Ying-Cheng Lai
Summary: Transient synchronization behavior is discovered in spatial ecological networks, where different patterns of complete synchronization coexist and switch randomly due to intrinsic instability or noise. This phenomenon, known as 'synchronization within synchronization,' is determined by network symmetry and follows an algebraic scaling law for transient time distribution with a divergent average transient lifetime. Symmetry considerations can also be used to explain counterintuitive synchronization behaviors in ecological networks.
NATIONAL SCIENCE REVIEW
(2021)
Review
Oncology
Ryan C. Perez, DaeHee Kim, Aaron W. P. Maxwell, Juan C. Camacho
Summary: The association between hypoxia, cancer aggressiveness, and decreased therapeutic response is well-established. This review aims to summarize the molecular pathways associated with tumor hypoxia and the use of PET and MRI techniques for imaging hypoxia in cancer. It also discusses future directions and challenges in this field.
Article
Radiology, Nuclear Medicine & Medical Imaging
Qiaoyun Zhu, Guoye Lin, Yuhang Sun, Yi Wu, Yujia Zhou, Qianjin Feng
Summary: The study presents a deep learning-based approach using a three-cascaded multi-resolution network (MR Net) for image registration, achieving significant improvement in statistical results of brain functional networks. By imposing smoothness constraints on sub-deformation fields, ensuring smoothness of images, and completing registration through multiple cascades, the proposed method successfully enhances functional consistency.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2021)
Review
Neurosciences
Ziyan Chen, Ningrong Ye, Chubei Teng, Xuejun Li
Summary: Gliomas are common and complex primary tumors in the central nervous system. Neuroradiological approaches provide macroscopic views for surgical resection and treatment. Connectome, a structural map of the brain, can be calculated through MRI. This study reviewed the principles and attributes of the connectome, discussed its alterations in gliomas, and suggested further research in this area.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Biochemical Research Methods
Marius E. Mayerhoefer, Lale Umutlu, Heiko Schoeder
Summary: Lymphomas are ideal targets for radiomics due to their distinct characteristics, and functional imaging tests play a crucial role in diagnosing and predicting treatment outcomes for lymphoma. However, more data is needed to support the application of radiomics in lymphoma due to differences in lymphoma subtypes and increasing treatment options.
Article
Neurosciences
Amelie J. Reynaud, Elvio Blini, Eric Koun, Emiliano Macaluso, Martine Meunier, Fadila Hadj-Bouziane
Summary: The study used NE reuptake inhibitors to conduct experiments on monkeys, and found that NE regulates attentional orienting, affecting the impact of low-level visual salience on attentional orientation during free viewing of images.
Article
Anatomy & Morphology
Ilenia Salsano, Valerio Santangelo, Emiliano Macaluso
Summary: Previous studies have shown that long-term memory associated with object positions in natural scenes can guide visuo-spatial attention during subsequent search tasks. Memory-guided attention involves the activation of memory regions and the fronto-parietal attention network, which represent external locations with different frames of reference. The study used behavioral measures and fMRI to assess the roles of egocentric and allocentric spatial information during memory-guided attention, revealing that memory contributes to visual search regardless of changes in perspective.
BRAIN STRUCTURE & FUNCTION
(2021)
Article
Neurosciences
Daniele Mascali, Marta Moraschi, Mauro DiNuzzo, Silvia Tommasin, Michela Fratini, Tommaso Gili, Richard G. Wise, Silvia Mangia, Emiliano Macaluso, Federico Giove
Summary: In-scanner head motion is a major confounding factor in functional connectivity studies, and the performance of denoising pipelines varies between task and resting-state conditions. The most effective approaches include aCompCor and global signal regression, but they struggle to mitigate spurious distance-dependent associations between motion and connectivity. Censoring motion-contaminated volumes is the only method that substantially reduces distance-dependent artifacts, but at the cost of reduced network identifiability.
HUMAN BRAIN MAPPING
(2021)
Article
Biochemistry & Molecular Biology
Cecile Bordier, Georg Weil, Patrick Bach, Giulia Scuppa, Carlo Nicolini, Giulia Forcellini, Ursula Perez-Ramirez, David Moratal, Santiago Canals, Sabine Hoffmann, Derik Hermann, Sabine Vollstadt-Klein, Falk Kiefer, Peter Kirsch, Wolfgang H. Sommer, Angelo Bifone
Summary: The study found that recently detoxified alcohol dependent patients showed significant reductions in global connectivity and region-specific disruption in network topology compared to healthy controls. An increase in centrality of the anterior insula was strongly associated with increased risk of relapse. Exploratory analysis suggested partial recovery of modular structure and insular connectivity in patients after 2 weeks.
Article
Clinical Neurology
Marianne Pollet, Emilie Skrobala, Renaud Lopes, Gregory Kuchcinski, Cecile Bordier, Adeline Rollin-Sillaire, Stephanie Bombois, Florence Pasquier, Xavier Delbeuck
Summary: By applying a k-means clustering analysis, two clusters of EOAD patients were identified, which differed in certain clinical, imaging, and laboratory characteristics. This clustering procedure may be useful for managing EOAD patients and identifying those at risk of faster decline.
EUROPEAN JOURNAL OF NEUROLOGY
(2021)
Article
Clinical Neurology
Quentin Devignes, Cecile Bordier, Romain Viard, Luc Defebvre, Gregory Kuchcinski, Albert F. G. Leentjens, Renaud Lopes, Kathy Dujardin
Summary: The dual syndrome hypothesis in mild cognitive impairment (MCI) in Parkinson's disease distinguishes between frontostriatal and posterior cortical subtypes, and this study found specific changes in resting-state functional connectivity associated with these subtypes. Patients with posterior cortical deficits showed increased functional connectivity within the basal ganglia network, while patients with frontostriatal deficits showed reduced inter-network connectivity compared to healthy controls and patients with normal cognition or a posterior cortical subtype.
MOVEMENT DISORDERS
(2022)
Article
Psychology, Biological
Einat Rashal, Mehdi Senoussi, Elisa Santandrea, Suliann Ben-Hamed, Emiliano Macaluso, Leonardo Chelazzi, C. Nico Boehler
Summary: Through two experiments, the study examined the effects of combined top-down and bottom-up attentional control sources on attention selection and suppression. The results showed that valid cues facilitated responses to targets in visual search, while salient distractors consistently worsened performance.
Article
Geriatrics & Gerontology
Morgan Gautherot, Gregory Kuchcinski, Cecile Bordier, Adeline Rollin Sillaire, Xavier Delbeuck, Melanie Leroy, Xavier Leclerc, Jean-Pierre Pruvo, Florence Pasquier, Renaud Lopes
Summary: The study evaluated PAD as a marker of phenotypic heterogeneity and severity among early-onset Alzheimer's disease (EOAD) patients, showing that PAD could distinguish between amnestic and non-amnestic sporadic forms.
FRONTIERS IN AGING NEUROSCIENCE
(2021)
Article
Neurosciences
Mauro DiNuzzo, Daniele Mascali, Giorgia Bussu, Marta Moraschi, Maria Guidi, Emiliano Macaluso, Silvia Mangia, Federico Giove
Summary: The right hemisphere exhibits stronger activation and connectivity patterns in visuospatial attention than the left hemisphere. The direction of attention significantly modulates the strength of connectivity between brain networks, with leftward attention primarily involving connections between the right visual network and dorsal and ventral attention networks in both hemispheres. Hemispheric functional segregation is significantly correlated with better performance.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Bertrand Beffara, Fadila Hadj-Bouziane, Suliann Ben Hamed, C. Nico Boehler, Leonardo Chelazzi, Elisa Santandrea, Emiliano Macaluso
Summary: This study measured occipital activity in different spatial regions during the processing of visual displays and found that goal-directed attention and salience jointly modulate activity distribution in the occipital cortex, with involvement of multiple functional paths and interactions.
Article
Multidisciplinary Sciences
Liya Merzon, Kati Pettersson, Eeva T. Aronen, Hanna Huhdanpaa, Erik Seesjaervi, Linda Henriksson, W. Joseph MacInnes, Minna Mannerkoski, Emiliano Macaluso, Juha Salmi
Summary: This study used eye movement data obtained in virtual reality environments to objectively detect attention deficit hyperactivity disorder. The researchers found significant differences in eye movement patterns between different groups, and eye movement data trained on a support vector machine classifier showed excellent discrimination ability, accurately predicting attention deficits.
SCIENTIFIC REPORTS
(2022)
Article
Psychology
Einat Rashal, Elisa Santandrea, Suliann Ben-Hamed, Emiliano Macaluso, Leonardo Chelazzi, C. Nico Boehler
Summary: This study examined the effects of top-down and bottom-up attentional control in easy and difficult visual search tasks. The analysis focused on the sustained posterior contralateral negativity (SPCN) and response-locked posterior contralateral negativity (RLpcN) to understand processes following target selection. Results showed modulation of SPCN and late segment of RLpcN by task difficulty and target salience, as well as modulation of early segment of RLpcN by cueing manipulation and presence of a salient distractor.
ATTENTION PERCEPTION & PSYCHOPHYSICS
(2023)
Article
Psychology
Carola Dolci, C. Nico Boehler, Elisa Santandrea, Anneleen Dewulf, Suliann Ben-Hamed, Emiliano Macaluso, Leonardo Chelazzi, Einat Rashal
Summary: The present study investigates how the competition between visual elements is resolved through top-down and/or statistical learning attentional control mechanisms. The results suggest that the winner element is selected either by one prevailing AC mechanism or by the joint activity of both mechanisms. The study provides evidence that top-down control and statistical learning work together during target selection, with the latter being reduced when reliable top-down guidance is present.
ATTENTION PERCEPTION & PSYCHOPHYSICS
(2023)
Article
Anatomy & Morphology
G. Cantarella, S. Mastroberardino, P. Bisiacchi, E. Macaluso
Summary: Prospective memory (PM) involves executive processes associated with frontal and parietal regions. Task load and task focality can affect executive monitoring and PM performance. This imaging study manipulated load and focality of an event-based PM task and found that high-load conditions engage the left intraparietal sulcus, while low-load conditions involve early selection mechanisms in the ventral occipito-temporal cortex. The level of task load determines how cognitive control selects relevant information.
BRAIN STRUCTURE & FUNCTION
(2023)
Meeting Abstract
Ophthalmology
Einat Rashal, Mehdi Senoussi, Elisa Santandrea, Suliann Ben-Hamed, Emiliano Macaluso, Leonardo Chelazzi, Nico Boehler