14 papers · ranked by Valyu relevance
Yasunori Aoki, Hiroaki Kazui, Ricardo Bruña, Roberto D. Pascual-Marqui + 12 more
'Roberto D. Pascual-Marqui' 'Kenji Yoshiyama' 'Tamiki Wada' 'Hideki Kanemoto' 'Yukiko Suzuki' 'Takashi Suehiro' 'Takuya Matsumoto' 'Kyosuke Kakeda' 'Masahiro Hata' 'Leonides Canuet' 'Ryouhei Ishii' 'Masao Iwase' 'Manabu Ikeda'] Idiopathic normal pressure hydrocephalus (iNPH) is a neuropsychiatric disease characterized…
Florian Göschl, Dionysia Kaziki, Gregor Leicht, Andreas K. Engel + 1 more
A standard approach to estimate interacting sources from EEG or MEG data is to first calculate a coupling between all pairs of voxels on a predefined grid within the brain and then average or maximize this coupling matrix along each column or row. Depending on the chosen coupling measure and grid size this approach can…
Claudio Babiloni, Giuseppe Noce, Carlo Di Bonaventura, Roberta Lizio + 12 more
'Maria Teresa Pascarelli' 'Federico Tucci' 'Andrea Soricelli' 'Raffaele Ferri' 'Flavio Nobili' 'Francesco Famà' 'Eleonora Palma' 'Pierangelo Cifelli' 'Moira Marizzoni' 'Fabrizio Stocchi' 'Giovanni B. Frisoni' 'Claudio Del Percio'] In the present exploratory and retrospective study, we hypothesized that cortical sources…
Luke Tait, Ayşegül Özkan, Maciej J Szul, Jiaxiang Zhang
Non-invasive functional neuroimaging of the human brain at rest can give crucial insight into the mechanisms that underpin healthy cognition and neurological disorders. Magnetoencephalography (MEG) measures extracranial magnetic fields originating from neuronal activity with very high temporal resolution, but requires…
Amin Noroozi, Maryam Ravan, Babak Razavi, Robert S. Fisher + 2 more
'Ying-Ying Law' 'Mohammad S. Hasan'] Abstract— Objective: In this paper, we present a robust version of the well-known exact low-resolution electromagnetic tomography (eLORETA) technique, named ReLORETA, to localize brain sources in the presence of different forward model uncertainties. Methods: We first assume that…
Emmanuel Molefi, Ian McLoughlin, Ramaswamy Palaniappan
Transcutaneous auricular vagus nerve stimulation (taVNS), a non-invasive form of electrical brain stimulation, has shown potent therapeutic potential for a wide spectrum of conditions. How taVNS influences the characterization of motion sickness - a long mysterious syndrome with a polysymptomatic onset - remains…
Yasunori Aoki, Ryouhei Ishii, Roberto D. Pascual-Marqui, Leonides Canuet + 8 more
'Leonides Canuet' 'Shunichiro Ikeda' 'Masahiro Hata' 'Kaoru Imajo' 'Haruyasu Matsuzaki' 'Toshimitsu Musha' 'Takashi Asada' 'Masao Iwase' 'Masatoshi Takeda'] Recent functional magnetic resonance imaging (fMRI) studies have shown that functional networks can be extracted even from resting state data, the so called…
Wupadrasta Santosh Kumar, Kanishka Sharma, Supratim Ray
Aging alters brain structure and function, and studying such changes may help understand the neural basis underlying aging and devise interventions to detect deviations from healthy progression. Electroencephalogram (EEG) offers an effective way to study healthy aging owing to its high temporal resolution and…
Tamesh Halder, Siddharth Talwar, Amit Kumar Jaiswal, Arpan Banerjee
Brain oscillations from EEG and MEG shed light on neurophysiological mechanisms of human behavior. However, to extract information on cortical processing, researchers have to rely on source localization methods that can be very broadly classified into current density estimates such as exact low-resolution brain…
Osamu Katayama, Yaakov Stern, Christian Habeck, Sangyoon Lee + 10 more
'Kenji Harada' 'Keitaro Makino' 'Kouki Tomida' 'Masanori Morikawa' 'Ryo Yamaguchi' 'Chiharu Nishijima' 'Yuka Misu' 'Kazuya Fujii' 'Takayuki Kodama' 'Hiroyuki Shimada'] Background Neurodegeneration and structural changes in the brain due to amyloid deposition have been observed even in individuals with mild cognitive…
Tamesh Halder, Siddharth Talwar, Amit Kumar Jaiswal, Arpan Banerjee
Oscillatory brain electromagnetic activity is an established tool to study neurophysiological mechanisms of human behavior using electro-encephalogram (EEG) and magneto-encephalogram (MEG) techniques. Often, to extract source level information in the cortex, researchers have to rely on inverse techniques that generate…
Jamie A. O’Reilly, Judy D. Zhu, Paul F. Sowman
Estimating intracranial current sources underlying the electromagnetic signals observed from extracranial sensors is a perennial challenge in non-invasive neuroimaging. Established solutions to this inverse problem treat time samples independently without considering the temporal dynamics of event-related brain…
Vadim Zotev, Jerzy Bodurka
Recently, we reported an emotion self-regulation study (Zotev et al., 2020), in which patients with major depressive disorder (MDD) used simultaneous real-time fMRI and EEG neurofeedback (rtfMRI-EEG-nf) to upregulate two fMRI and two EEG activity measures, relevant to MDD. The target measures included fMRI activities…
J. Hanuš, F. Marchis, M. Viikinkoski, Bin Yang + 1 more
Aims. We aim to use all available disk-resolved images of (130) Elektra obtained by the SPHERE instrument at VLT and by the Nirc2 of the Keck telescope together with the disk-integrated photometry to determine its shape model and its size. The volume can be then used in combination with the known mass to derive the…