Selected Articles

Ghaderi, A. H., Taghizadeh, S., & Nazari, M. A. (2025). Altered Visual Network Modularity and Communication in ADHD Subtypes: Classification via Source-Localized EEG Modules Biomedical Signal Processing and Control, (Accepted).

Mokhtarinejad, E., Tavakoli, M., & Ghaderi, A. H. (2024). Exploring the correlation and causation between alpha oscillations and one-second time perception through EEG and tACS. Scientific Reports, 14(1), 8035.

Ghaderi, A. H., Brown, E. C., Clark, D. L., Ramasubbu, R., Kiss, Z. H., & Protzner, A. B. (2023). Functional brain network features specify DBS outcome for patients with treatment resistant depression. Nature Molecular psychiatry, 28(9), 3888-3899.

Ghaderi, A. H., Niemeier, M., & Crawford, J. D. (2023). Saccades and presaccadic stimulus repetition alter cortical network topology and dynamics: evidence from EEG and graph theoretical analysis. Cerebral Cortex, 33(5), 2075-2100.

Haghighatfard, A., Ghaderi, A. H., Mostajabi, P., Kashfi, S. S., Shahrani, M., Mehrasa, M., ... & Alizadenik, A. (2023). The first genome-wide association study of internet addiction; Revealed substantial shared risk factors with neurodevelopmental psychiatric disorders. Research in Developmental Disabilities, 133, 104393.

Talaei, N., & Ghaderi, A. H. (2022). Integration of structural brain networks is related to openness to experience: A diffusion MRI study with CSD-based tractography. Frontiers in Neuroscience, 16, 1040799.

Ghaderi, A. H., Niemeier, M., & Crawford, J. D. (2022). Linear vector models of time perception account for saccade and stimulus novelty interactions. Heliyon, 8(3).

Ghaderi, A. H., Brown, E. C., Clark, D. L., Ramasubbu, R., Kiss, Z. H. T., & Protzner, A. B. (2022). Role of the serotonergic system in subcallosal DBS for treatment-resistant depression. Brain Stimulation, 15(1), 211-213.

Wang, H., Ghaderi, A. H., Long, X., Reynolds, J. E., Lebel, C., & Protzner, A. B. (2021). The longitudinal relationship between BOLD signal variability changes and white matter maturation during early childhood. Neuroimage, 242, 118448.

Ghaderi, A. H., Jahan, A., Akrami, F., & Salimi, M. M. (2021). Transcranial photobiomodulation changes topology, synchronizability, and complexity of resting state brain networks. Journal of Neural Engineering, 18(4), 046048.

Jouzizadeh, M., Ghaderi, A. H., Cheraghmakani, H., Baghbanian, S. M., & Khanbabaie, R. (2021). Resting-state brain network deficits in multiple sclerosis participants: evidence from electroencephalography and graph theoretical analysis. Brain Connectivity, 11(5), 359-367.

Ghaderi, A. H., Baltaretu, B. R., Andevari, M. N., Bharmauria, V., & Balci, F. (2020). Synchrony and complexity in state-related EEG networks: an application of spectral graph theory. Neural Computation, 32(12), 2422-2454.

Jouzizadeh, M., Khanbabaie, R., & Ghaderi, A. H. (2020). A spatial profile difference in electrical distribution of resting-state EEG in ADHD children using sLORETA. International Journal of Neuroscience, 130(9), 917-925.

Ghaderi, A. H., Nazari, M. A., & Darooneh, A. H. (2019). Functional brain segregation changes during demanding mathematical task. International Journal of Neuroscience, 129(9), 904-915.

Ghaderi, A. H. (2019). Heat transfer, entropy and time perception: Toward finding a possible relation between subjective and objective time. Medical hypotheses, 122, 172-175.

Ghaderi, A. H., Moradkhani, S., Haghighatfard, A., Akrami, F., Khayyer, Z., & Balcı, F. (2018). Time estimation and beta segregation: An EEG study and graph theoretical approach. PLoS One, 13(4), e0195380.

Ghaderi, A. H., Andevari, M. N., & Sowman, P. F. (2018). Evidence for a resting state network abnormality in adults who stutter. Frontiers in Integrative Neuroscience, 12, 16.

Ghaderi, F., Ghaderi, A. H., Ghaderi, N., & Najafi, B. (2017). Prediction of the thermal conductivity of refrigerants by computational methods and artificial neural network. Frontiers in Chemistry, 5, 99.

Ghaderi, A. H. (2015). Brain activity and special relativity: estimation and a novel hypothesis to explain time perception. Am. J. Psychol. Cogn. Sci, 1, 66-74.

Ghaderi, F., Ghaderi, A. H., Najafi, B., & Ghaderi, N. (2013). Viscosity prediction by computational method and artificial neural network approach: The case of six refrigerants. The Journal of Supercritical Fluids, 81, 67-78.

Ghaderi, A. H., & Darooneh, A. H. (2012). Artificial neural network with regular graph for maximum air temperature forecasting: The effect of decrease in nodes degree on learning. International Journal of Modern Physics C, 23(02), 1250008.