Article
Clinical Neurology
Fleur E. N. B. Jacobs, Hannah Bernhard, Vivianne H. J. M. van Kranen-Mastenbroek, G. Louis Wagner, Frederic L. W. V. J. Schaper, Linda Ackermans, Rob P. W. Rouhl, Mark J. Roberts, Erik D. Gommer
Summary: This study investigated thalamocortical connectivity during different stages of non-rapid eye movement (NREM) sleep using scalp electroencephalograms and local field potentials. The results showed that the connectivity from the cortex to the thalamus was the most prominent. The strength of connectivity varied between sleep stages, but the direction and frequency remained stable. These findings suggest a relatively stable thalamocortical connectivity during NREM sleep.
Article
Computer Science, Hardware & Architecture
Tianheng Zhang, Miaomiao Guo, Lei Wang, Mengfan Li
Summary: This study investigates the impact of VR use on brain fatigue by analyzing EEG signals of 16 healthy subjects. The results show significant differences in the frequency domain of brain networks between watching VR videos and traditional plane videos, suggesting higher brain fatigue in subjects watching VR videos.
Article
Neurosciences
Elias Paolo Casula, Maria Concetta Pellicciari, Sonia Bonni, Barbara Spano, Viviana Ponzo, Ilenia Salsano, Giovanni Giulietti, Alex Martino Cinnera, Michele Maiella, Ilaria Borghi, Lorenzo Rocchi, Marco Bozzali, Fabrizio Sallustio, Carlo Caltagirone, Giacomo Koch
Summary: Interhemispheric interactions in stroke patients show significant imbalance, with the affected hemisphere unable to trigger motor potentials while the unaffected hemisphere maintains inhibition onto the affected. Patients with better recovery in hand function exhibit more stable interhemispheric balance. Additionally, microstructural integrity of callosal fibers is associated with interhemispheric connectivity and suppression of TMS-evoked activity.
HUMAN BRAIN MAPPING
(2021)
Article
Neurosciences
Guiyuan Cai, Manfeng Wu, Qian Ding, Tuo Lin, Wanqi Li, Yinghua Jing, Hongying Chen, Huiting Cai, Tifei Yuan, Guangqing Xu, Yue Lan
Summary: The study found that the alpha2 power in the sensorimotor region is inversely correlated with corticospinal excitability. Additionally, the global efficiency of the brain network is correlated with corticospinal excitability, showing a positive correlation with global efficiency in the theta band and a negative correlation with global efficiency in the alpha2 band.
FRONTIERS IN NEUROSCIENCE
(2021)
Editorial Material
Neurosciences
Po-Yu Fong, Danny Spampinato, Kevin Michell, Marco Mancuso, Katlyn Brown, Jaime Ibanez, Alessandro Di Santo, Anna Latorre, Kailash Bhatia, John C. Rothwell, Lorenzo Rocchi
Summary: This commentary article compares the differences between their recently published paper on cerebellar transcranial magnetic stimulation (TMS) induced electroencephalographic responses and Gassmann et al.'s previous work on the same topic. The authors agree that the differences mainly stem from the use of different magnetic stimulation coils but raise two unanswered questions: (1) which method is most likely to achieve optimal activation of cerebellar output, and (2) to what extent are the evoked cerebellar responses contaminated by concomitant sensory input? They emphasize the importance of careful experimental design and combining electrophysiological and behavioral data for obtaining reliable TMS-EEG data.
Review
Neurosciences
Jose Antonio Camacho-Conde, Maria del Rosario Gonzalez-Bermudez, Marta Carretero-Rey, Zafar U. Khan
Summary: Brain stimulation has become a widely accepted therapeutic approach in recent years, with non-invasive techniques like rTMS and tDCS, as well as invasive techniques like DBS, being commonly used to treat various neurological disorders. Technological advancements have led to the development of precise devices capable of producing well-controlled and effective brain stimulation.
CNS NEUROSCIENCE & THERAPEUTICS
(2022)
Article
Multidisciplinary Sciences
Joseph D. Blythe, Kaya Peerdeman, Dieuwke Veldhuijzen, Julian Karch, Andrea W. M. Evers
Summary: This study found that in the comparison between classically conditioned placebo pain and control pain, nocebo effects showed an increase in anticipatory processing and functional connectivity. These results highlight the role that negative expectations play in enhancing sensory perception before the sensation occurs.
Article
Multidisciplinary Sciences
Eleonore H. M. Smalle, Tatsuya Daikoku, Arnaud Szmalec, Wouter Duyck, Riikka Mottonen
Summary: This study tests the impact of cognitive mechanisms on implicit statistical learning mechanisms in early language acquisition in adults. The results suggest that depleting cognitive control mechanisms enhances implicit auditory word segmentation abilities and improves word recognition.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Clinical Neurology
Brenton Hordacre, Kristina Comacchio, Lindy Williams, Susan Hillier
Summary: The study demonstrated that active rTMS significantly improved depression in stroke survivors and was well tolerated. The mechanistic role of theta frequency functional connectivity may warrant further investigation.
JOURNAL OF NEUROLOGY
(2021)
Article
Neurosciences
David Haslacher, Asmita Narang, Rodika Sokoliuk, Alessia Cavallo, Philipp Reber, Khaled Nasr, Emiliano Santarnecchi, Surjo R. Soekadar
Summary: Transcranial alternating current stimulation (tACS) can influence perception and behavior, and recent evidence suggests its potential impact in clinical settings. However, the underlying mechanisms of tACS are still poorly understood. In this study, the researchers attenuated stimulation artifacts and provided evidence for phase-dependent enhancement and suppression of visually evoked steady state responses (SSR) during amplitude-modulated tACS (AM-tACS). The findings suggest the feasibility and superiority of closed-loop AM-tACS over conventional open-loop AM-tACS in purposefully modulating brain oscillations at specific frequencies.
Article
Neurosciences
David Haslacher, Khaled Nasr, Stephen E. Robinson, Christoph Braun, Surjo R. Soekadar
Summary: A real-time compatible artifact rejection algorithm (SASS) was introduced to overcome limitations in adapting stimulation parameters to ongoing brain oscillations. By using SASS, stimulation-specific signal components could be reliably removed while leaving physiological signal components unaffected. Results indicate that SASS can be used to establish adaptive AM-tACS, providing a potentially powerful tool to target various brain functions and investigate how AM-tACS interacts with electric brain oscillations.
Article
Biochemistry & Molecular Biology
Saurabh Sonkusare, Ding Qiong, Yijie Zhao, Wei Liu, Ruoqi Yang, Alekhya Mandali, Luis Manssuer, Chencheng Zhang, Chunyan Cao, Bomin Sun, Shikun Zhan, Valerie Voon
Summary: Using intracranial electroencephalography, this study investigated the amygdala, orbitofrontal cortex (OFC), and medial prefrontal cortex (mPFC) and found that they play important roles in the emotion circuit. The three regions showed different emotion-induced responses and interactions. The results demonstrated greater broadband gamma activity in the negative condition, increased beta activity in the amygdala and OFC, and decreased beta activity in mPFC during the emotional picture viewing task. Furthermore, model-based computational analyses revealed unidirectional connectivity from mPFC to the amygdala and bidirectional communication between OFC-amygdala and OFC-mPFC.
MOLECULAR PSYCHIATRY
(2023)
Review
Clinical Neurology
Hernan Nicolas Lemus, Rani A. Sarkis
Summary: Alzheimer's disease (AD) is a common type of dementia and currently has no cure. Interictal epileptiform discharges (IEDs) in AD patients are markers of a more aggressive disease course, but there are challenges in standardizing the definition and capturing methods of IEDs. IEDs are an attractive treatment target, but there is uncertainty about when to treat them, the optimal drugs and doses, and the impact of treatment on the disease course.
FRONTIERS IN NEUROLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Qing Gao, Ning Luo, Minfeng Liang, Weiqi Zhou, Yan Li, Rong Li, Xiaofei Hu, Ting Zou, Xuyang Wang, Jiali Yu, Jinsong Leng, Huafu Chen
Summary: The study proposed a new approach called SMGC to model the directed and hierarchical features of brain functional network and explore causal relationships. The simulation study and application to real datasets demonstrated that the method can capture the complex hierarchical organization of the brain network.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Materials Science, Biomaterials
Hamzah Magsood, R. L. Hadimani
Summary: Transcranial magnetic stimulation (TMS) is a non-invasive technique used for diagnosis and treatment of neurological conditions, but the lack of realistic physical models has hindered the development of new protocols. A research team has developed an accurate brain and head phantom for testing TMS effects, created through segmentation of MRI images and filling with conductive polymer, with SEM images and voltage measurements confirming its anatomical accuracy.
MATERIALS SCIENCE & ENGINEERING C-MATERIALS FOR BIOLOGICAL APPLICATIONS
(2021)
Article
Clinical Neurology
Zoe Kouvatsou, Elvira Masoura, Grigoris Kiosseoglou, Vasilios K. Kimiskidis
Summary: The aim of this study was to evaluate the impact of information processing speed on specific working memory components. Results showed a significant relationship between central executive and episodic buffer components with information processing speed. However, age had a significant effect on the prediction of information processing speed, particularly in the episodic buffer component.
APPLIED NEUROPSYCHOLOGY-ADULT
(2022)
Review
Clinical Neurology
Panagiotis Zis, Andreas Liampas, Artemios Artemiadis, Gabriela Tsalamandris, Panagiota Neophytou, Zoe Unwin, Vasilios K. Kimiskidis, Georgios M. Hadjigeorgiou, Giustino Varrassi, Yifan Zhao, Ptolemaios Georgios Sarrigiannis
Summary: Pain is a universal and complex sensation, and the development of a non-invasive tool for objectively measuring pain is crucial for clinical and research purposes. Electroencephalography (EEG) has emerged as an important non-invasive clinical tool for understanding brain network complexities and identifying areas of dysfunction. This review examines the potential role of EEG recordings as biomarkers for pain perception.
Review
Psychology, Multidisciplinary
Zoe Kouvatsou, Elvira Masoura, Vasilios Kimiskidis
Summary: This article presents an overview of research findings on working memory and information processing speed impairments in multiple sclerosis (MS), specifically focusing on the degree of impairment in different working memory components and the relationship between information processing speed and each component. The importance of further research on the episodic buffer component in MS patients is highlighted.
FRONTIERS IN PSYCHOLOGY
(2022)
Review
Biochemical Research Methods
Julio C. Hernandez-Pavon, Dimitris Kugiumtzis, Christoph Zrenner, Vasilios K. Kimiskidis, Johanna Metsomaa
Summary: This article introduces the technique of transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) for studying cortical excitability and connectivity. It discusses the issue of EEG signal contamination by artifacts and presents various methods for artifact removal. The article focuses on spatial filter methods, particularly beamforming, as the most widely used approach. The differences in assumptions, challenges, and applicability of these methods are discussed using simulated and recorded data.
JOURNAL OF NEUROSCIENCE METHODS
(2022)
Letter
Psychiatry
Calypso A. Mitkani, Thomas T. Tegos, Vasilios K. Kimiskidis, Konstantinos N. Fountoulakis
PSYCHIATRY RESEARCH
(2022)
Letter
Clinical Neurology
Vasiliki Poulidou, Martha Spilioti, Maria Moschou, Nickolas Papanikolaou, Antonios Drevelegas, Sotirios Papagiannopoulos, Dimitrios Kazis, Vasilios K. Kimiskidis
JOURNAL OF MOVEMENT DISORDERS
(2022)
Article
Computer Science, Artificial Intelligence
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Ioannis Kompatsiaris
Summary: This article introduces a deep learning-based multimodal quasi-autoregressive architecture for predicting fashion trends. The proposed method can extract visual features and textual descriptions from product images and model the changes in product attributes using time series data. Experimental results show that the method outperforms existing techniques in the fashion domain.
INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL
(2022)
Article
Biochemistry & Molecular Biology
Georgios K. Papadimas, Constantinos Papadopoulos, Kyriaki Kekou, Chrisoula Kartanou, Athina Kladi, Evangelia Nitsa, Christalena Sofocleous, Evangelia Tsanou, Ioannis Sarmas, Stefania Kaninia, Elisabeth Chroni, Georgios Tsivgoulis, Vasilios Kimiskidis, Marianthi Arnaoutoglou, Leonidas Stefanis, Marios Panas, Georgios Koutsis, Georgia Karadima, Joanne Traeger-Synodinos
Summary: This study retrospectively analyzed the medical records of 561 Greek patients with myotonic dystrophies. The findings show similarities in clinical and genetic characteristics between these patients and those from other regions. Muscle weakness is the first symptom in both types of myotonic dystrophies, while multisystemic involvement and cataracts are common manifestations. The study highlights the importance of specialized neuromuscular centers that can provide genetic counseling and a multidisciplinary approach.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Computer Science, Information Systems
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos, Ioannis Kompatsiaris
Summary: In order for fashion outfits to be aesthetically pleasing, the garments need to be compatible in terms of style, category, and color. A new architecture called VICTOR is proposed to address the issue of compatibility in outfit-making applications, providing regression for overall compatibility and detection of mismatching items. The architecture utilizes fashion-specific language-image pre-training to fine tune computer vision neural networks. The results show that VICTOR outperforms the current state-of-the-art while reducing floating operations. The code for VICTOR is available on GitHub.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
(2023)
Article
Chemistry, Multidisciplinary
Konstantinos Pastiadis, Ioannis Vlachos, Evangelia Chatzikyriakou, Yiftach Roth, Samuel Zibman, Abraham Zangen, Dimitris Kugiumtzis, Vasilios K. K. Kimiskidis
Summary: This study introduces a novel and perceptually motivated method, named TMS-click AFTS, for suppressing auditory evoked EEG artifacts caused by concurrent TMS recordings. The method utilizes a psychophysically-matched wide-band noise masking stimulus that is individually constructed for each patient/subject. An adaptive procedure is employed to optimize the masking noise level, considering both the subject's comfort and the degree of AEP reduction.
APPLIED SCIENCES-BASEL
(2023)
Review
Neurosciences
Panayiotis Patrikelis, Lambros Messinis, Vasiliki Folia, Grigorios Nasios, Athanasia Alexoudi, Anastasia Verentzioti, Stefanos Korfias, Vasileios Kimiskidis, Stylianos Gatzonis
Summary: This study analyzes the biography, language, and literary work of Greek novelist Demosthenes Voutyras, and hypothesizes that his mystical and dark writing style could be attributed to medial temporal interictal dynamics. We suggest that the psycholiterary profile of Voutyras is consistent with the idiosyncratic characteristics of the temporal lobe personality, while a non-dominant temporal lobe contribution has been proposed.
ARQUIVOS DE NEURO-PSIQUIATRIA
(2023)
Article
Oncology
E. Gavriilaki, D. Mallouri, Z. Bousiou, C. Demosthenous, A. Vardi, P. Dolgyras, I. Batsis, E. Stroggyli, P. Karvouni, M. Masmanidou, M. Gavriilaki, A. Bouinta, S. Bitsianis, N. Kapravelos, M. Bitzani, G. Vasileiadou, E. Yannaki, D. Sotiropoulos, S. Papagiannopoulos, D. Kazis, V. Kimiskidis, A. Anagnostopoulos, I. Sakellari
Summary: Our real-world experience confirms that commercial CAR T therapy can be administered with minimal toxicity. Early referral of patients with low tumor burdens and close monitoring and early recognition of side effects are important in preventing major toxicities and potentially expanding the use of CAR T therapy.
Article
Behavioral Sciences
Kristl Vonck, Arnaud Biraben, Magdalena Bosak, Poul Jorgen Jennum, Vasilios K. Kimiskidis, Petr Marusic, James W. Mitchell, Lara N. Ferreira, Martina Ondrusova, Adrian Pana, Ulf Persson, Tim J. von Oertzen, Simona Lattanzi
Summary: This study critically assesses the current state-of-the-art and beliefs about the use of patient-reported outcomes (PRO) in the management of people with epilepsy across some European countries. Results show that there are differences in attitudes and perspectives about PRO in epilepsy across Europe, and an active plan is needed to harmonize the measurement of PRO and ensure their relevance to people with epilepsy and health services.
BRAIN AND BEHAVIOR
(2023)
Review
Neurosciences
Panayiotis Patrikelis, Lambros Messinis, Vasileios Kimiskidis, Stylianos Gatzonis
Summary: This review discusses the relevance of central concepts from the Lurian corpus of theories to the modern neuropsychology of epilepsy and epilepsy surgery. It highlights the limitations of quadrant-based views and data-driven approaches in clinical reasoning, and advocates for a systemic view inspired by Luria's work. Luria's theory and clinical approaches apply to the entire neuropathology spectrum and provide a holistic understanding of neurocognition. This systemic approach aligns with the network approach in neuroimaging.
ARQUIVOS DE NEURO-PSIQUIATRIA
(2023)
Proceedings Paper
Computer Science, Information Systems
Ioannis Sarridis, Christos Koutlis, Olga Papadopoulou, Symeon Papadopoulos
Summary: The sheer volume of online user-generated content has made content moderation technologies essential. In this paper, the CM-Refinery framework is proposed to extend initial training datasets with hard examples, while reducing human involvement, to improve content moderation models.
2022 IEEE EIGHTH INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM 2022)
(2022)
