“Papers of School of Cognitive Sciences”
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261. A. Mazaheri, H. Memarian, B. Tokhmechi and B. Nadjar Araabi,
Cell size optimization for fracture measure estimation in multi-scale studies within oil wells,
CARBONATES AND EVAPORITES (2019), 261-272 [abstract]
262. E. Ebrahimzadeh, H. Soltanian-Zadeh, B. NadjarAraabi, S. HashemiFesharaki and J. MehvariHabibabadi,
Component-related BOLD response to localize epileptic focus using simultaneous EEG-fMRI recordings at 3T,
Journal of Neuroscience Methods 322(2019), 34-49 [abstract]
263. M. Tahmasian, A. Sepehry, F. Samea, T. Khodadadifar, Z. Soltaninejad, N. Javaheripour, H. Khazaie, M. Zarei, S. Eickhoff and C. Eickhoff,
Practical recommendations to conduct a neuroimaging meta-analysis for neuropsychiatric disorders,
Human Brain Mapping (2019), 5142-5154 [abstract]
264. H. Soleymani, M. Ghorbani, A. Allahverdi, S. ShojaeiLangari and H. Naderi-manesh,
Activation of human insulin by vitamin E: A molecular dynamics simulation study,
JOURNAL OF MOLECULAR GRAPHICS & MODELLING 91(2019), 194-203 [abstract]
265. M. Ghorbani, H. Soleymani, A. Allahverdi, S. Shojaeilangari and H. Naderimanesh,
Effects of natural compounds on conformational properties and hairpin formation of amyloid-B42 monomer: docking and molecular dynamics simulation study,
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS (2019), 1-13 [abstract]
266. P. Naghibirad, A. Shahroudi, H. Shabani, S. Ajami and R. Lashgari,
Encoding Pleasant and Unpleasant Expression of the Architectural Window Shapes: An ERP Study,
Frontiers in Behavioral Neuroscience (2019), 1-10 [abstract]
267. E. Yargholi, G. Hoddein-zadeh and R. Rajimehr,
Predicting BOLD activity in FFA from the activity in other visual areas,
Brain connectivity (2019), 329-340 [abstract]
268. E. Yargholi and G. Hoddein-zadeh,
Cross recurrence quantifiers as new connectivity measures for structure learning of Bayesian networks in brain decoding,
Chaos, Solitons & Fractals 123(2019), 263-274 [abstract]
269. V. Malekian, Sh. Shalikar, F. Rastegar and A. Nasiraei Moghaddam,
SSFP-fMRI: Radial reading helps to Improve Temporal SNR,
in: Proc. Intl Soc Mag Reson Med. Conf. (Toronto, CA), 2019, , 2019, pp. [abstract]
270. V. Malekian and A. Moghaddam,
Motor Mapping for Pre-surgical Planning Using Seed-based Resting-State fMRI Approach,
in: 36th Proc. ESMRMb (Rotterdam, NL). Vol. 36. 2019, 36, 2019, pp. [abstract]
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