Classification of low and high schizotypy levels via evaluation of brain connectivity

Autor: Zandbagleh, A, Mirzakuchaki, S, Daliri, MR, Premkumar, P, Sanei, S

Schizotypy is a latent cluster of personality traits that denote a vulnerability for schizophrenia or a type of spectrum disorder. The aim of the study is to investigate parametric effective brain connectivity features for classifying high versus low

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c26bb803d43db7e0d12c78136724b441
https://irep.ntu.ac.uk/id/eprint/45787/1/1522956_Sanei.pdf

Prediction of behavioral performance by alpha-band phase synchronization in working memory.

Autor: Norouzi H; Neuroscience and Neuroengineering Research Lab., Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science & Technology (IUST), Narmak, 16846-13114, Tehran, Iran., Daliri MR; Neuroscience and Neuroengineering Research Lab., Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science & Technology (IUST), Narmak, 16846-13114, Tehran, Iran. Electronic address: daliri@iust.ac.ir.

Publikováno v: Physiology & behavior [Physiol Behav] 2024 Oct 01; Vol. 284, pp. 114630. Date of Electronic Publication: 2024 Jul 05.

Coupled oscillations orchestrate selective information transmission in visual cortex.

Autor: Khamechian MB; Neuroscience and Neuroengineering Research Laboratory, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Dardasht St., District 8, Tehran 16846-13114, Iran.; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Opposite the ARAJ, Artesh Highway, Aghdassieh, Tehran 1956836613, Iran., Daliri MR; Neuroscience and Neuroengineering Research Laboratory, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Dardasht St., District 8, Tehran 16846-13114, Iran.; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Opposite the ARAJ, Artesh Highway, Aghdassieh, Tehran 1956836613, Iran., Treue S; Cognitive Neuroscience Laboratory, German Primate Center-Leibniz Institute for Primate Research, Kellnerweg 4, Gottingen 37077, Germany.; Faculty of Biology and Psychology, University of Gottingen, Wilhelm-Weber-Str. 2, Gottingen 37073, Germany.; Bernstein Center for Computational Neuroscience, Georg-August-Universität Göttingen, Heinrich-Düker-Weg 12, Göttingen 37073, Germany.; Leibniz-Science Campus Primate Cognition, German Primate Center, Kellnerweg 4, Goettingen 37077, Germany., Esghaei M; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Opposite the ARAJ, Artesh Highway, Aghdassieh, Tehran 1956836613, Iran.; Cognitive Neuroscience Laboratory, German Primate Center-Leibniz Institute for Primate Research, Kellnerweg 4, Gottingen 37077, Germany.

Publikováno v: PNAS nexus [PNAS Nexus] 2024 Jul 31; Vol. 3 (8), pp. pgae288. Date of Electronic Publication: 2024 Jul 31 (Print Publication: 2024).

Delta-alpha/beta coupling as a signature of visual working memory in the prefrontal cortex.

Autor: Aliramezani M; School of Cognitive Sciences (SCS), Institute for Research in Fundamental Sciences (IPM), Tehran 19568-36613, Iran., Farrokhi A; School of Cognitive Sciences (SCS), Institute for Research in Fundamental Sciences (IPM), Tehran 19568-36613, Iran., Constantinidis C; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA., Daliri MR; School of Cognitive Sciences (SCS), Institute for Research in Fundamental Sciences (IPM), Tehran 19568-36613, Iran.; Department of Biomedical Engineering, School of Electrical Engineering, Iran University of Science and Technology (IUST), Tehran 16846-13114, Iran.

Publikováno v: IScience [iScience] 2024 Jul 03; Vol. 27 (8), pp. 110453. Date of Electronic Publication: 2024 Jul 03 (Print Publication: 2024).

Early MS Identification Using Non-linear Functional Connectivity and Graph-theoretic Measures of Cognitive Task-fMRI Data.

Autor: Azarmi F; Department of Biomedical Engineering and Medical Physics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Shalbaf A; Department of Biomedical Engineering and Medical Physics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Miri Ashtiani SN; Department of Biomedical Engineering, School of Electrical Engineering, Iran University of Science & Technology, Tehran, Iran., Behnam H; Department of Biomedical Engineering, School of Electrical Engineering, Iran University of Science & Technology, Tehran, Iran., Daliri MR; Department of Biomedical Engineering, School of Electrical Engineering, Iran University of Science & Technology, Tehran, Iran.

Publikováno v: Basic and clinical neuroscience [Basic Clin Neurosci] 2023 Nov-Dec; Vol. 14 (6), pp. 787-804. Date of Electronic Publication: 2023 Nov 01.