Zobrazeno 1 - 10
of 587
pro vyhledávání: '"Hamid Soltanian Zadeh"'
Autor:
Aslan Dizaji, Bruno Hebling Vieira, Mohmmad Reza Khodaei, Mahnaz Ashrafi, Elahe Parham, Gholam Ali Hossein-Zadeh, Carlos Ernesto Garrido Salmon, Hamid Soltanian Zadeh
Publikováno v:
Basic and Clinical Neuroscience, Vol 12, Iss 1, Pp 1-28 (2021)
Human intelligence has always been a fascinating subject for scientists. Since the inception of Spearman’s general intelligence in the early 1900s, there has been significant progress towards characterizing different aspects of intelligence and its
Externí odkaz:
https://doaj.org/article/427ee994e8f946e6852e5f6ea9d996ab
Publikováno v:
مجله دانشکده پزشکی اصفهان, Vol 29, Iss 174 (2012)
Background: Chronic obstructive pulmonary disease (COPD) is one of the most prevalent and dangerous pulmonary diseases in the world. It is forecasted that COPD will be the third deadly disease in the future. Therefore, developing non-invasive methods
Externí odkaz:
https://doaj.org/article/eb95db505b3b4cf0af2d373c84de34f3
Autor:
Somayeh Ramesh, Mohammad Ali Besharat, Hamid Soltanian-Zadeh, Reza Rostami, Ali Vasheghani Farahani, Hojjatollah Farahani
Publikováno v:
Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Shahīd Ṣadūqī Yazd, Vol 30, Iss 7, Pp 5077-5088 (2022)
Introduction: Vasovagal syncope is the most common type of syncope and recurrent syncope attacks can have a profound effect on the patients' quality of life. The aim of this study was to predict vasovagal syncope based on the variables of body vigila
Externí odkaz:
https://doaj.org/article/e0c9832b5b6640f9bf87d0f9328618db
Autor:
Sara Larivière, Jessica Royer, Raúl Rodríguez-Cruces, Casey Paquola, Maria Eugenia Caligiuri, Antonio Gambardella, Luis Concha, Simon S. Keller, Fernando Cendes, Clarissa L. Yasuda, Leonardo Bonilha, Ezequiel Gleichgerrcht, Niels K. Focke, Martin Domin, Felix von Podewills, Soenke Langner, Christian Rummel, Roland Wiest, Pascal Martin, Raviteja Kotikalapudi, Terence J. O’Brien, Benjamin Sinclair, Lucy Vivash, Patricia M. Desmond, Elaine Lui, Anna Elisabetta Vaudano, Stefano Meletti, Manuela Tondelli, Saud Alhusaini, Colin P. Doherty, Gianpiero L. Cavalleri, Norman Delanty, Reetta Kälviäinen, Graeme D. Jackson, Magdalena Kowalczyk, Mario Mascalchi, Mira Semmelroch, Rhys H. Thomas, Hamid Soltanian-Zadeh, Esmaeil Davoodi-Bojd, Junsong Zhang, Gavin P. Winston, Aoife Griffin, Aditi Singh, Vijay K. Tiwari, Barbara A. K. Kreilkamp, Matteo Lenge, Renzo Guerrini, Khalid Hamandi, Sonya Foley, Theodor Rüber, Bernd Weber, Chantal Depondt, Julie Absil, Sarah J. A. Carr, Eugenio Abela, Mark P. Richardson, Orrin Devinsky, Mariasavina Severino, Pasquale Striano, Domenico Tortora, Erik Kaestner, Sean N. Hatton, Sjoerd B. Vos, Lorenzo Caciagli, John S. Duncan, Christopher D. Whelan, Paul M. Thompson, Sanjay M. Sisodiya, Andrea Bernasconi, Angelo Labate, Carrie R. McDonald, Neda Bernasconi, Boris C. Bernhardt
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-16 (2022)
Epilepsy is a brain network disorder with associated genetic risk factors. Here, the authors show that spatial patterns of transcriptomic vulnerability co-vary with structural brain network alterations in focal and generalized epilepsy.
Externí odkaz:
https://doaj.org/article/42a2adc39a114a5faf720bcffa41fabd
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract The Coronavirus has spread across the world and infected millions of people, causing devastating damage to the public health and global economies. To mitigate the impact of the coronavirus a reliable, fast, and accurate diagnostic system sho
Externí odkaz:
https://doaj.org/article/04cc48e64d5b4808832af9d829d17ca5
Autor:
Elias Ebrahimzadeh, Saber Saharkhiz, Lila Rajabion, Homayoun Baghaei Oskouei, Masoud Seraji, Farahnaz Fayaz, Sarah Saliminia, Seyyed Mostafa Sadjadi, Hamid Soltanian-Zadeh
Publikováno v:
Frontiers in Systems Neuroscience, Vol 16 (2022)
Electroencephalography (EEG) and functional Magnetic Resonance Imaging (MRI) have long been used as tools to examine brain activity. Since both methods are very sensitive to changes of synaptic activity, simultaneous recording of EEG and fMRI can pro
Externí odkaz:
https://doaj.org/article/cb923fe4da6441a6a43ab23a2d0b871b
Autor:
Mohammad-Parsa Hosseini, Madison Beary, Alex Hadsell, Ryan Messersmith, Hamid Soltanian-Zadeh
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2022)
In this paper, we introduce a deep learning model to classify children as either healthy or potentially having autism with 94.6% accuracy using Deep Learning. Patients with autism struggle with social skills, repetitive behaviors, and communication,
Externí odkaz:
https://doaj.org/article/f4e5abb9ab4947928fea779e058dd2a2
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Purpose: A prospective study of individual and combined quantitative imaging applications for lateralizing epileptogenicity was performed in a cohort of consecutive patients with a putative diagnosis of mesial temporal lobe epilepsy (mTLE).Methods: Q
Externí odkaz:
https://doaj.org/article/166bceaab87a413e90ff2ca90d7d1044
Autor:
Elias Ebrahimzadeh, Mohammad Shams, Masoud Seraji, Seyyed Mostafa Sadjadi, Lila Rajabion, Hamid Soltanian-Zadeh
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Conventional EEG-fMRI methods have been proven to be of limited use in the sense that they cannot reveal the information existing in between the spikes. To resolve this issue, the current study obtains the epileptic components time series detected on
Externí odkaz:
https://doaj.org/article/3371f7c9f7f9419783ea3363b91e5963
Autor:
Seyedehsamaneh Shojaeilangari, Narges Radman, Mohammad Ehsan Taghizadeh, Hamid Soltanian-Zadeh
Publikováno v:
Heliyon, Vol 7, Iss 9, Pp e07855- (2021)
Persistent developmental stuttering (PDS) is defined as a speech disorder mainly characterized by intermittent involuntary disruption in normal fluency, time patterning, and rhythm of speech. Although extensive functional neuroimaging studies have ex
Externí odkaz:
https://doaj.org/article/4ae6721b8dbb4ca98e531fd34c451e2a