Selected Articles
Ghaderi, A. H., Niemeier, M., Crawford, J. D., "Saccades and pre-saccadic stimulus repetition alter cortical network topology and dynamics: evidence from EEG and graph theoretical analysis." Cerebral Cortex, bhac194, 2022.
Ghaderi, A. H., Niemeier, M., Crawford, J. D., "Linear vector models of time perception account for saccade and stimulus novelty interactions." Heliyon 8(3), e09036(2022).
Ghaderi, A. H., Brown E. B., Clark D. L., Ramasubbu R., Kiss Z. H. T., Protzner A. B. "Role of the serotonergic system in subcallosal DBS for treatment-resistant depression." Brain Stimulation 15(1), P211-213,(2022).
Talaei, N., Ghaderi, A. H., Integration of structural brain networks is related to openness to experience: A diffusion MRI study with CSD-based tractography. Frontiers in Neuroscience (Accepted).
Wang H., Ghaderi A. H., Long X., Reynolds J. E., Lebel C., and Protzner A. B., "The longitudinal relationship between BOLD signal variability changes and white matter maturation during early childhood." NeuroImage 242(15), 118448, (2021).
Ghaderi A. H., Jahan A., Akrami F., Moghadam Salimi M. "Transcranial photobiomodulation changes topology, synchronizability, and complexity of resting state brain networks." Journal of Neural Engineering 18 046048 (2021).
Jouzizadeh M., Ghaderi A. H., Cheraghmakani H., Baghbanian M., Khanbabaie R. Resting-State Brain Network Deficits in Multiple Sclerosis Participants: Evidence from Electroencephalography and Graph Theoretical Analysis. Brain Connectivity 11(5) (2021).
Ghaderi, A. H., Baltaretu, B. R., Andevari, M. N., Bharmauria, V. & Balci, F. Synchrony and complexity in state-related EEG networks: an application of spectral graph theory. Neural Computaion 32(12), p.2422-2454 (2020).
Ghaderi, A. H., Nazari, M. A. & Darooneh, A. H. Functional brain segregation changes during demanding mathematical task. International Journal of Neuroscience. 129, 904–915 (2019)
Ghaderi, A. H. Heat transfer, entropy and time perception: Toward finding a possible relation between subjective and objective time. Medical Hypotheses 122, 172–175 (2019).
Ghaderi, A. H. et al. Time estimation and beta segregation: An EEG study and graph theoretical approach. PLoS One 13, (2018).
Ghaderi, A. H., Andevari, M. N. & Sowman, P. F. Evidence for a Resting State Network Abnormality in Adults Who Stutter. Frontiers in Integrative Neuroscience (2018). doi:10.3389/fnint.2018.00016
Haghighatfard, A., et al. Gene expression study of mitochondrial complex I in schizophrenia and paranoid personality disorder. World Journal of Biological Psychiatry (2018). doi:10.1080/15622975.2017.1282171
Ghaderi, F., Ghaderi, A. H., Ghaderi, N. & Najafi, B. Prediction of the thermal conductivity of refrigerants by computational methods and artificial neural network. Frontiers in Chemistry 5, (2017).
Ghaderi, A. H., Nazari, M. A., Shahrokhi, H. & Darooneh, A. H. Functional brain connectivity differences between different ADHD presentations: Impaired functional segregation in ADHD-combined presentation but not in ADHD-inattentive presentation. Basic and Clinical Neuroscience (2017). doi:10.18869/nirp.bcn.8.4.267
Khayyer, Z., Ngaosuvan, L., Sikström, S. & Ghaderi, A. H. Transcranial direct current stimulation based on quantitative electroencephalogram combining positive psychotherapy for major depression. Jouranl of Integrative Neuroscience (2018). doi:10.3233/JIN-170045
Basiri, N., Khayyer, Z., Hadianfard, H. & Ghaderi, A. Comparison of the Effectiveness of Cognitive Behavioral Therapy and Neurofeedback: Reducing Insomnia Symptoms. Global Journal of Health Science 9, 35 (2017).
Ghaderi, A. H. Brain Activity and Special Relativity : Estimation and a Novel Hypothesis to Explain Time Perception. Am. J. Psychol. Cogn. Sci. 1, 66–74 (2015).
Ghaderi, F., Ghaderi, A. H., Najafi, B. & Ghaderi, N. Viscosity prediction by computational method and artificial neural network approach: The case of six refrigerants. J. Supercrit. Fluids 81, (2013).
Ghaderi, A. H. & Darooneh, A. H. Artificial neural network with regular graph for maximum air temperature forecasting: The effect of decrease in nodes degree on learning. Int. J. Mod. Phys. C 23, (2012).