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AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software.

F1000Research

Weiss SA, Asadi-Pooya AA, Vangala S, Moy S, Wyeth DH, Orosz I, Gibbs M, Schrader L, Lerner J, Cheng CK, Chang E, Rajaraman R, Keselman I, Churchman P, Bower-Baca C, Numis AL, Ho MG, Rao L, Bhat A, Suski J, Asadollahi M, Ambrose T, Fernandez A, Nei M, Skidmore C, Mintzer S, Eliashiv DS, Mathern GW, Nuwer MR, Sperling M, Engel J, Stern JM.
PMID: 28491280
F1000Res. 2017 Jan 10;6:30. doi: 10.12688/f1000research.10569.2. eCollection 2017.

No abstract available.

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Weiss SA, Asadi-Pooya AA, Vangala S, et al. AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software. F1000Res. 2017;6:30doi: 10.12688/f1000research.10569.2.
Weiss, S. A., Asadi-Pooya, A. A., Vangala, S., Moy, S., Wyeth, D. H., Orosz, I., Gibbs, M., Schrader, L., Lerner, J., Cheng, C. K., Chang, E., Rajaraman, R., Keselman, I., Churchman, P., Bower-Baca, C., Numis, A. L., Ho, M. G., Rao, L., Bhat, A., Suski, J., Asadollahi, M., Ambrose, T., Fernandez, A., Nei, M., Skidmore, C., Mintzer, S., Eliashiv, D. S., Mathern, G. W., Nuwer, M. R., Sperling, M., Engel, J., & Stern, J. M. (2017). AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software. F1000Research, 630. https://doi.org/10.12688/f1000research.10569.2
Weiss, Shennan Aibel, et al. "AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software." F1000Research vol. 6 (2017): 30. doi: https://doi.org/10.12688/f1000research.10569.2
Weiss SA, Asadi-Pooya AA, Vangala S, Moy S, Wyeth DH, Orosz I, Gibbs M, Schrader L, Lerner J, Cheng CK, Chang E, Rajaraman R, Keselman I, Churchman P, Bower-Baca C, Numis AL, Ho MG, Rao L, Bhat A, Suski J, Asadollahi M, Ambrose T, Fernandez A, Nei M, Skidmore C, Mintzer S, Eliashiv DS, Mathern GW, Nuwer MR, Sperling M, Engel J, Stern JM. AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software. F1000Res. 2017 Jan 10;6:30. doi: 10.12688/f1000research.10569.2. eCollection 2017. PMID: 28491280; PMCID: PMC5399961.
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Comparison of temporal lobe epilepsy with hippocampal sclerosis and temporal lobe epilepsies due to other etiologies.

Medical journal of the Islamic Republic of Iran

Asadi-Pooya AA, Tajvarpour M, Vedadinezhad B, Emami M.
PMID: 26793654
Med J Islam Repub Iran. 2015 Sep 13;29:263. eCollection 2015.

BACKGROUND: This study compares the clinical characteristics of patients with mesial temporal lobe epilepsy with hippocampal sclerosis (mTLE-HS) with those who have temporal lobe epilepsy (TLE) due to other etiologies.METHODS: In this retrospective study all patients with a clinical...

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Asadi-Pooya AA, Tajvarpour M, Vedadinezhad B, et al. Comparison of temporal lobe epilepsy with hippocampal sclerosis and temporal lobe epilepsies due to other etiologies. Med J Islam Repub Iran. 2015;29:263
Asadi-Pooya, A. A., Tajvarpour, M., Vedadinezhad, B., & Emami, M. (2015). Comparison of temporal lobe epilepsy with hippocampal sclerosis and temporal lobe epilepsies due to other etiologies. Medical journal of the Islamic Republic of Iran, 29263.
Asadi-Pooya, Ali A, et al. "Comparison of temporal lobe epilepsy with hippocampal sclerosis and temporal lobe epilepsies due to other etiologies." Medical journal of the Islamic Republic of Iran vol. 29 (2015): 263.
Asadi-Pooya AA, Tajvarpour M, Vedadinezhad B, Emami M. Comparison of temporal lobe epilepsy with hippocampal sclerosis and temporal lobe epilepsies due to other etiologies. Med J Islam Repub Iran. 2015 Sep 13;29:263. eCollection 2015. PMID: 26793654; PMCID: PMC4715408.
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Depression and anxiety in patients with epilepsy, with or without other chronic disorders.

Iranian Red Crescent medical journal

Asadi-Pooya AA, Sperling MR.
PMID: 22737444
Iran Red Crescent Med J. 2011 Feb;13(2):112-6. Epub 2011 Feb 01.

BACKGROUND: Most people with epilepsy lead a normal emotional and cognitive life, however neurobehavioral problems can be found in a large number of patients. This study evaluates the prevalence of depression and anxiety among patients with epilepsy and determines...

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Asadi-Pooya AA, Sperling MR. Depression and anxiety in patients with epilepsy, with or without other chronic disorders. Iran Red Crescent Med J. 2011;13(2):112-6
Asadi-Pooya, A. A., & Sperling, M. R. (2011). Depression and anxiety in patients with epilepsy, with or without other chronic disorders. Iranian Red Crescent medical journal, 13(2), 112-6.
Asadi-Pooya, A A, and Sperling, M R. "Depression and anxiety in patients with epilepsy, with or without other chronic disorders." Iranian Red Crescent medical journal vol. 13,2 (2011): 112-6.
Asadi-Pooya AA, Sperling MR. Depression and anxiety in patients with epilepsy, with or without other chronic disorders. Iran Red Crescent Med J. 2011 Feb;13(2):112-6. Epub 2011 Feb 01. PMID: 22737444; PMCID: PMC3371921.
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The epidemiology, risk factors, and impact on hospital mortality of status epilepticus after subdural hematoma in the United States.

SpringerPlus

Seifi A, Asadi-Pooya AA, Carr K, Maltenfort M, Emami M, Bell R, Moussouttas M, Yazbeck M, Rincon F.
PMID: 25077058
Springerplus. 2014 Jul 01;3:332. doi: 10.1186/2193-1801-3-332. eCollection 2014.

INTRODUCTION: Subdural hematoma (SDH) is a well described risk factor in the development of Status Epilepticus (SE), however the epidemiology of SE after SDH is unknown. In this study, we sought to determine the epidemiology of SE, the prevalence...

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Seifi A, Asadi-Pooya AA, Carr K, et al. The epidemiology, risk factors, and impact on hospital mortality of status epilepticus after subdural hematoma in the United States. Springerplus. 2014;3:332doi: 10.1186/2193-1801-3-332.
Seifi, A., Asadi-Pooya, A. A., Carr, K., Maltenfort, M., Emami, M., Bell, R., Moussouttas, M., Yazbeck, M., & Rincon, F. (2014). The epidemiology, risk factors, and impact on hospital mortality of status epilepticus after subdural hematoma in the United States. SpringerPlus, 3332. https://doi.org/10.1186/2193-1801-3-332
Seifi, Ali, et al. "The epidemiology, risk factors, and impact on hospital mortality of status epilepticus after subdural hematoma in the United States." SpringerPlus vol. 3 (2014): 332. doi: https://doi.org/10.1186/2193-1801-3-332
Seifi A, Asadi-Pooya AA, Carr K, Maltenfort M, Emami M, Bell R, Moussouttas M, Yazbeck M, Rincon F. The epidemiology, risk factors, and impact on hospital mortality of status epilepticus after subdural hematoma in the United States. Springerplus. 2014 Jul 01;3:332. doi: 10.1186/2193-1801-3-332. eCollection 2014. PMID: 25077058; PMCID: PMC4112038.
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International multicenter studies on psychogenic nonepileptic seizures: A systematic review.

Psychiatry research

Asadi-Pooya AA.
PMID: 32014624
Psychiatry Res. 2020 Jan 25;285:112812. doi: 10.1016/j.psychres.2020.112812. Epub 2020 Jan 25.

The aim of the current paper is to systematically review the literature on the existing international multicenter studies on various aspects of PNES and to highlight their findings and significance. I searched the electronic database PubMed for articles that...

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Asadi-Pooya AA. International multicenter studies on psychogenic nonepileptic seizures: A systematic review. Psychiatry Res. 2020;285:112812doi: 10.1016/j.psychres.2020.112812.
Asadi-Pooya, A. A. (2020). International multicenter studies on psychogenic nonepileptic seizures: A systematic review. Psychiatry research, 285112812. https://doi.org/10.1016/j.psychres.2020.112812
Asadi-Pooya, Ali A. "International multicenter studies on psychogenic nonepileptic seizures: A systematic review." Psychiatry research vol. 285 (2020): 112812. doi: https://doi.org/10.1016/j.psychres.2020.112812
Asadi-Pooya AA. International multicenter studies on psychogenic nonepileptic seizures: A systematic review. Psychiatry Res. 2020 Jan 25;285:112812. doi: 10.1016/j.psychres.2020.112812. Epub 2020 Jan 25. PMID: 32014624.
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Long-term medical and social outcomes of patients with Lennox-Gastaut syndrome.

Epilepsy research

Asadi-Pooya AA, Bazrafshan M, Farazdaghi M.
PMID: 34798494
Epilepsy Res. 2021 Dec;178:106813. doi: 10.1016/j.eplepsyres.2021.106813. Epub 2021 Nov 13.

OBJECTIVE: The aim of the current study was to investigate the long-term outcome in a large cohort of patients with Lennox-Gastaut syndrome (LGS).METHODS: This was a longitudinal study (a retrospective database review with a telephone follow-up interview). All patients...

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Asadi-Pooya AA, Bazrafshan M, Farazdaghi M. Long-term medical and social outcomes of patients with Lennox-Gastaut syndrome. Epilepsy Res. 2021;178:106813doi: 10.1016/j.eplepsyres.2021.106813.
Asadi-Pooya, A. A., Bazrafshan, M., & Farazdaghi, M. (2021). Long-term medical and social outcomes of patients with Lennox-Gastaut syndrome. Epilepsy research, 178106813. https://doi.org/10.1016/j.eplepsyres.2021.106813
Asadi-Pooya, Ali A, et al. "Long-term medical and social outcomes of patients with Lennox-Gastaut syndrome." Epilepsy research vol. 178 (2021): 106813. doi: https://doi.org/10.1016/j.eplepsyres.2021.106813
Asadi-Pooya AA, Bazrafshan M, Farazdaghi M. Long-term medical and social outcomes of patients with Lennox-Gastaut syndrome. Epilepsy Res. 2021 Dec;178:106813. doi: 10.1016/j.eplepsyres.2021.106813. Epub 2021 Nov 13. PMID: 34798494.
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Long COVID syndrome-associated brain fog.

Journal of medical virology

Asadi-Pooya AA, Akbari A, Emami A, Lotfi M, Rostamihosseinkhani M, Nemati H, Barzegar Z, Kabiri M, Zeraatpisheh Z, Farjoud-Kouhanjani M, Jafari A, Sasannia F, Ashrafi S, Nazeri M, Nasiri S, Shahisavandi M.
PMID: 34672377
J Med Virol. 2021 Oct 21; doi: 10.1002/jmv.27404. Epub 2021 Oct 21.

We investigated the frequency of brain fog in a large cohort of patients with documented coronavirus disease-2019 (COVID-19) who have survived the illness. We also scrutinized the potential risk factors associated with the development of brain fog. Adult patients...

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Asadi-Pooya AA, Akbari A, Emami A, et al. Long COVID syndrome-associated brain fog. J Med Virol. 2021;doi: 10.1002/jmv.27404.
Asadi-Pooya, A. A., Akbari, A., Emami, A., Lotfi, M., Rostamihosseinkhani, M., Nemati, H., Barzegar, Z., Kabiri, M., Zeraatpisheh, Z., Farjoud-Kouhanjani, M., Jafari, A., Sasannia, F., Ashrafi, S., Nazeri, M., Nasiri, S., & Shahisavandi, M. (2021). Long COVID syndrome-associated brain fog. Journal of medical virology, . https://doi.org/10.1002/jmv.27404
Asadi-Pooya, Ali A, et al. "Long COVID syndrome-associated brain fog." Journal of medical virology vol. (2021). doi: https://doi.org/10.1002/jmv.27404
Asadi-Pooya AA, Akbari A, Emami A, Lotfi M, Rostamihosseinkhani M, Nemati H, Barzegar Z, Kabiri M, Zeraatpisheh Z, Farjoud-Kouhanjani M, Jafari A, Sasannia F, Ashrafi S, Nazeri M, Nasiri S, Shahisavandi M. Long COVID syndrome-associated brain fog. J Med Virol. 2021 Oct 21; doi: 10.1002/jmv.27404. Epub 2021 Oct 21. PMID: 34672377; PMCID: PMC8662118.
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Machine learning applications to differentiate comorbid functional seizures and epilepsy from pure functional seizures.

Journal of psychosomatic research

Asadi-Pooya AA, Kashkooli M, Asadi-Pooya A, Malekpour M, Jafari A.
PMID: 34929547
J Psychosom Res. 2021 Dec 15;153:110703. doi: 10.1016/j.jpsychores.2021.110703. Epub 2021 Dec 15.

PURPOSE: We have utilized different methods in machine learning (ML) to develop the best algorithm to differentiate comorbid functional seizures (FS) and epilepsy from those who have pure FS.METHODS: This was a retrospective study of an electronic database of...

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Asadi-Pooya AA, Kashkooli M, Asadi-Pooya A, et al. Machine learning applications to differentiate comorbid functional seizures and epilepsy from pure functional seizures. J Psychosom Res. 2021;153:110703doi: 10.1016/j.jpsychores.2021.110703.
Asadi-Pooya, A. A., Kashkooli, M., Asadi-Pooya, A., Malekpour, M., & Jafari, A. (2021). Machine learning applications to differentiate comorbid functional seizures and epilepsy from pure functional seizures. Journal of psychosomatic research, 153110703. https://doi.org/10.1016/j.jpsychores.2021.110703
Asadi-Pooya, Ali A, et al. "Machine learning applications to differentiate comorbid functional seizures and epilepsy from pure functional seizures." Journal of psychosomatic research vol. 153 (2021): 110703. doi: https://doi.org/10.1016/j.jpsychores.2021.110703
Asadi-Pooya AA, Kashkooli M, Asadi-Pooya A, Malekpour M, Jafari A. Machine learning applications to differentiate comorbid functional seizures and epilepsy from pure functional seizures. J Psychosom Res. 2021 Dec 15;153:110703. doi: 10.1016/j.jpsychores.2021.110703. Epub 2021 Dec 15. PMID: 34929547.
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Functional seizures: Cluster analysis may predict the associated risk factors.

Epilepsy & behavior : E&B

Asadi-Pooya AA, Farazdaghi M.
PMID: 34922327
Epilepsy Behav. 2021 Dec 15;126:108485. doi: 10.1016/j.yebeh.2021.108485. Epub 2021 Dec 15.

OBJECTIVES: We applied the Two-Step cluster analysis on a large cohort of patients with functional seizures (FS). We studied whether the background risk factors differed between the patient clusters.METHODS: All patients with a diagnosis of FS were studied at...

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Asadi-Pooya AA, Farazdaghi M. Functional seizures: Cluster analysis may predict the associated risk factors. Epilepsy Behav. 2021;126:108485doi: 10.1016/j.yebeh.2021.108485.
Asadi-Pooya, A. A., & Farazdaghi, M. (2021). Functional seizures: Cluster analysis may predict the associated risk factors. Epilepsy & behavior : E&B, 126108485. https://doi.org/10.1016/j.yebeh.2021.108485
Asadi-Pooya, Ali A, and Farazdaghi, Mohsen. "Functional seizures: Cluster analysis may predict the associated risk factors." Epilepsy & behavior : E&B vol. 126 (2021): 108485. doi: https://doi.org/10.1016/j.yebeh.2021.108485
Asadi-Pooya AA, Farazdaghi M. Functional seizures: Cluster analysis may predict the associated risk factors. Epilepsy Behav. 2021 Dec 15;126:108485. doi: 10.1016/j.yebeh.2021.108485. Epub 2021 Dec 15. PMID: 34922327.
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Cluster analysis: Predicting the seizure outcome in temporal lobe epilepsy.

Epilepsy & behavior : E&B

Asadi-Pooya AA, Farazdaghi M.
PMID: 34923259
Epilepsy Behav. 2021 Dec 16;126:108495. doi: 10.1016/j.yebeh.2021.108495. Epub 2021 Dec 16.

OBJECTIVES: We applied the Two-Step cluster analysis on a large cohort of patients with temporal lobe epilepsy (TLE). We hypothesized that there are distinct clusters of patients with TLE based on their clinical characteristics and these clusters may predict...

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Asadi-Pooya AA, Farazdaghi M. Cluster analysis: Predicting the seizure outcome in temporal lobe epilepsy. Epilepsy Behav. 2021;126:108495doi: 10.1016/j.yebeh.2021.108495.
Asadi-Pooya, A. A., & Farazdaghi, M. (2021). Cluster analysis: Predicting the seizure outcome in temporal lobe epilepsy. Epilepsy & behavior : E&B, 126108495. https://doi.org/10.1016/j.yebeh.2021.108495
Asadi-Pooya, Ali A, and Farazdaghi, Mohsen. "Cluster analysis: Predicting the seizure outcome in temporal lobe epilepsy." Epilepsy & behavior : E&B vol. 126 (2021): 108495. doi: https://doi.org/10.1016/j.yebeh.2021.108495
Asadi-Pooya AA, Farazdaghi M. Cluster analysis: Predicting the seizure outcome in temporal lobe epilepsy. Epilepsy Behav. 2021 Dec 16;126:108495. doi: 10.1016/j.yebeh.2021.108495. Epub 2021 Dec 16. PMID: 34923259.
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COVID-19 Vaccine Hesitancy Among Patients With Epilepsy or Other Chronic Conditions.

Disaster medicine and public health preparedness

Asadi-Pooya AA, Barzegar Z, Sadeghian S, Nezafat A, Shahisavandi M, Nabavizadeh SA.
PMID: 34629142
Disaster Med Public Health Prep. 2021 Oct 11;1-3. doi: 10.1017/dmp.2021.311. Epub 2021 Oct 11.

OBJECTIVES: The aim of this study was to investigate the opinions of different groups of people in Iran on their willingness to receive a coronavirus disease 2019 (COVID-19) vaccine.METHODS: In this cross-sectional study, we surveyed a sample (based on...

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Asadi-Pooya AA, Barzegar Z, Sadeghian S, et al. COVID-19 Vaccine Hesitancy Among Patients With Epilepsy or Other Chronic Conditions. Disaster Med Public Health Prep. 2021;1-3doi: 10.1017/dmp.2021.311.
Asadi-Pooya, A. A., Barzegar, Z., Sadeghian, S., Nezafat, A., Shahisavandi, M., & Nabavizadeh, S. A. (2021). COVID-19 Vaccine Hesitancy Among Patients With Epilepsy or Other Chronic Conditions. Disaster medicine and public health preparedness, 1-3. https://doi.org/10.1017/dmp.2021.311
Asadi-Pooya, Ali A, et al. "COVID-19 Vaccine Hesitancy Among Patients With Epilepsy or Other Chronic Conditions." Disaster medicine and public health preparedness vol. (2021): 1-3. doi: https://doi.org/10.1017/dmp.2021.311
Asadi-Pooya AA, Barzegar Z, Sadeghian S, Nezafat A, Shahisavandi M, Nabavizadeh SA. COVID-19 Vaccine Hesitancy Among Patients With Epilepsy or Other Chronic Conditions. Disaster Med Public Health Prep. 2021 Oct 11;1-3. doi: 10.1017/dmp.2021.311. Epub 2021 Oct 11. PMID: 34629142; PMCID: PMC8564028.
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Letter to the Editor. Entry site for ventriculoperitoneal shunt insertion and de novo post-shunt seizures.

Journal of neurosurgery. Pediatrics

Asadi-Pooya AA.
PMID: 34996034
J Neurosurg Pediatr. 2022 Jan 07;1. doi: 10.3171/2021.11.PEDS21552. Epub 2022 Jan 07.

No abstract available.

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Asadi-Pooya AA. Letter to the Editor. Entry site for ventriculoperitoneal shunt insertion and de novo post-shunt seizures. J Neurosurg Pediatr. 2022;1doi: 10.3171/2021.11.PEDS21552.
Asadi-Pooya, A. A. (2022). Letter to the Editor. Entry site for ventriculoperitoneal shunt insertion and de novo post-shunt seizures. Journal of neurosurgery. Pediatrics, 1. https://doi.org/10.3171/2021.11.PEDS21552
Asadi-Pooya, Ali A. "Letter to the Editor. Entry site for ventriculoperitoneal shunt insertion and de novo post-shunt seizures." Journal of neurosurgery. Pediatrics vol. (2022): 1. doi: https://doi.org/10.3171/2021.11.PEDS21552
Asadi-Pooya AA. Letter to the Editor. Entry site for ventriculoperitoneal shunt insertion and de novo post-shunt seizures. J Neurosurg Pediatr. 2022 Jan 07;1. doi: 10.3171/2021.11.PEDS21552. Epub 2022 Jan 07. PMID: 34996034.
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