You are currently on the new version of our website. Access the old version .

18 Results Found

  • Article
  • Open Access
104 Citations
12,374 Views
19 Pages

Complex Pearson Correlation Coefficient for EEG Connectivity Analysis

  • Zoran Šverko,
  • Miroslav Vrankić,
  • Saša Vlahinić and
  • Peter Rogelj

14 February 2022

In the background of all human thinking—acting and reacting are sets of connections between different neurons or groups of neurons. We studied and evaluated these connections using electroencephalography (EEG) brain signals. In this paper, we p...

  • Article
  • Open Access
4 Citations
2,597 Views
17 Pages

Phase synchronization serves as an effective method for analyzing the synchronization of electroencephalogram (EEG) signals among brain regions and the dynamic changes of the brain. The purpose of this paper is to study the construction of the functi...

  • Article
  • Open Access
2 Citations
2,855 Views
15 Pages

12 October 2024

The goal of neuroaesthetic research is to understand the neural mechanisms underpinning the perception and appreciation of art. The human brain has the remarkable ability to rapidly recognize different artistic styles. Using functional connectivity,...

  • Article
  • Open Access
7 Citations
2,721 Views
21 Pages

9 October 2022

Shooting is a sport dominated by psychological factors. Hence, disturbing the shooter’s sensory function during aiming will seriously affect his psychological state and shooting performance. Electroencephalograph (EEG) measurements of 30 skille...

  • Article
  • Open Access
22 Citations
5,300 Views
12 Pages

Abnormalities of EEG Functional Connectivity and Effective Connectivity in Children with Autism Spectrum Disorder

  • Xinling Geng,
  • Xiwang Fan,
  • Yiwen Zhong,
  • Manuel F. Casanova,
  • Estate M. Sokhadze,
  • Xiaoli Li and
  • Jiannan Kang

12 January 2023

Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder that interferes with normal brain development. Brain connectivity may serve as a biomarker for ASD in this respect. This study enrolled a total of 179 children aged 3&minus...

  • Article
  • Open Access
4 Citations
4,284 Views
16 Pages

Odor Pleasantness Modulates Functional Connectivity in the Olfactory Hedonic Processing Network

  • Veit Frederik Kepler,
  • Manuel S. Seet,
  • Junji Hamano,
  • Mariana Saba,
  • Nitish V. Thakor,
  • Stavros I. Dimitriadis and
  • Andrei Dragomir

19 October 2022

Olfactory hedonic evaluation is the primary dimension of olfactory perception and thus central to our sense of smell. It involves complex interactions between brain regions associated with sensory, affective and reward processing. Despite a recent in...

  • Article
  • Open Access
2,543 Views
16 Pages

Background: Both aging and cognitive fatigue are significant factors influencing alpha activity in the brain. However, the interactive effects of age and mental fatigue on the alpha spectrum and functional connectivity have not been fully elucidated....

  • Article
  • Open Access
5 Citations
3,765 Views
21 Pages

Integrating EEG and Machine Learning to Analyze Brain Changes during the Rehabilitation of Broca’s Aphasia

  • Vanesa Močilnik,
  • Veronika Rutar Gorišek,
  • Jakob Sajovic,
  • Janja Pretnar Oblak,
  • Gorazd Drevenšek and
  • Peter Rogelj

5 January 2024

The fusion of electroencephalography (EEG) with machine learning is transforming rehabilitation. Our study introduces a neural network model proficient in distinguishing pre- and post-rehabilitation states in patients with Broca’s aphasia, base...

  • Article
  • Open Access
1,132 Views
13 Pages

(1) Background: Brain–computer interface (BCI) technology represents a cutting-edge field that integrates brain intelligence with machine intelligence. Unlike BCIs that rely on external stimuli, motor imagery-based BCIs (MI-BCIs) generate usabl...

  • Article
  • Open Access
8 Citations
3,219 Views
20 Pages

Functional Hyperconnectivity during a Stories Listening Task in Magnetoencephalography Is Associated with Language Gains for Children Born Extremely Preterm

  • Maria E. Barnes-Davis,
  • Hisako Fujiwara,
  • Georgina Drury,
  • Stephanie L. Merhar,
  • Nehal A. Parikh and
  • Darren S. Kadis

26 September 2021

Extreme prematurity (EPT, <28 weeks gestation) is associated with language problems. We previously reported hyperconnectivity in EPT children versus term children (TC) using magnetoencephalography (MEG). Here, we aim to ascertain whether functiona...

  • Article
  • Open Access
16 Citations
2,904 Views
10 Pages

STN-DBS Induces Acute Changes in β-Band Cortical Functional Connectivity in Patients with Parkinson’s Disease

  • Matteo Conti,
  • Alessandro Stefani,
  • Roberta Bovenzi,
  • Rocco Cerroni,
  • Elena Garasto,
  • Fabio Placidi,
  • Claudio Liguori,
  • Tommaso Schirinzi,
  • Nicola B. Mercuri and
  • Mariangela Pierantozzi

23 November 2022

Subthalamic nucleus deep-brain stimulation (STN-DBS), in addition to a rapid improvement of Parkinson’s disease (PD) motor symptoms, can exert fast, local, neuromodulator activity, reducing β-synchronous oscillations between STN and the mo...

  • Article
  • Open Access
16 Citations
6,404 Views
14 Pages

Does the IOD Independently Influence Seasonal Monsoon Patterns in Northern Ethiopia?

  • Daniel Gebregiorgis,
  • David Rayner and
  • Hans W. Linderholm

26 July 2019

The dominant large-scale interannual modes in the tropical Pacific and Indian Oceans—El Niño southern oscillation (ENSO) and the Indian Ocean Dipole (IOD)—dominate seasonal rainfall patterns in Ethiopia. However, there is a clear i...

  • Article
  • Open Access
31 Citations
4,752 Views
17 Pages

Neurophysiological Correlates of a Single Session of Prefrontal tDCS in Patients with Prolonged Disorders of Consciousness: A Pilot Double-Blind Randomized Controlled Study

  • Manon Carrière,
  • Sepehr Mortaheb,
  • Federico Raimondo,
  • Jitka Annen,
  • Alice Barra,
  • Maria C. Binda Fossati,
  • Camille Chatelle,
  • Bertrand Hermann,
  • Géraldine Martens and
  • Aurore Thibaut
  • + 2 authors

Background. Transcranial direct current stimulation (tDCS) over the left dorsolateral prefrontal cortex (lDLPFC) was reported to promote the recovery of signs of consciousness in some patients in a minimally conscious state (MCS), but its electrophys...

  • Article
  • Open Access
9 Citations
3,364 Views
19 Pages

MSE-VGG: A Novel Deep Learning Approach Based on EEG for Rapid Ischemic Stroke Detection

  • Wei Tong,
  • Weiqi Yue,
  • Fangni Chen,
  • Wei Shi,
  • Lei Zhang and
  • Jian Wan

29 June 2024

Ischemic stroke is a type of brain dysfunction caused by pathological changes in the blood vessels of the brain which leads to brain tissue ischemia and hypoxia and ultimately results in cell necrosis. Without timely and effective treatment in the ea...

  • Article
  • Open Access
1 Citations
1,750 Views
18 Pages

Background/Objectives: New-onset refractory status epilepticus (NORSE) is a rare neurologic emergency that often requires immunotherapy despite an unclear etiology and poor response to standard treatments. Tocilizumab, an anti-interleukin-6 monoclona...

  • Article
  • Open Access
1 Citations
2,634 Views
17 Pages

Characteristics of Resting-State Electroencephalogram Network in α-Band of Table Tennis Athletes

  • Jilong Shi,
  • Fatima A. Nasrallah,
  • Xuechen Mao,
  • Qin Huang,
  • Jun Pan and
  • Anmin Li

27 February 2024

Background: Table tennis athletes have been extensively studied for their cognitive processing advantages and brain plasticity. However, limited research has focused on the resting-state function of their brains. This study aims to investigate the ne...

  • Article
  • Open Access
13 Citations
2,924 Views
25 Pages

11 August 2023

Compared to the construction phase, the assessment of tunnel safety risks during the operational stage has not been thoroughly conducted, and the related research work is relatively lagging. To deepen the research and application of theoretical metho...

  • Article
  • Open Access
1 Citations
1,873 Views
15 Pages

22 October 2024

Dual-mode non-invasive brain stimulation using repetitive transcranial magnetic stimulation and transcranial direct current stimulation is known to help neurorehabilitation in patients with stroke. However, this neuromodulation effect may vary depend...