Biography and Research Information
OverviewAI-generated summary
Aria Fallah investigates neurological disorders, with a focus on epilepsy and surgical interventions. Fallah's work includes the development and validation of tools to predict seizure freedom after epilepsy surgery, such as the Hemispherectomy Outcome Prediction Scale. Research also examines the clinical utility of intraoperative electrocorticography for epilepsy surgery through systematic reviews and meta-analyses.
Further studies by Fallah explore real-world experiences with responsive neurostimulation in pediatric epilepsy and compare the effectiveness of different functional hemispherotomy techniques for drug-resistant pediatric epilepsy. Fallah has also contributed to understanding human astrocyte transcriptomic signatures and their relation to the tumor microenvironment, age, and sex. Additionally, Fallah has been involved in developing a wearable platform for closed-loop stimulation and recording of neural activity in freely moving individuals.
Fallah's scholarship metrics include an h-index of 36, with 209 total publications and 3,557 total citations. Fallah is recognized as a high-impact researcher and has collaborated with Gregory W. Albert at the University of Arkansas for Medical Sciences on shared publications.
Metrics
- h-index: 36
- Publications: 209
- Citations: 3,571
Selected Publications
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Evidence of thalamocortical network activation during epileptic spasms: A thalamic stereotactic <scp>EEG</scp> study (2025)
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Deep Brain Stimulation in Pediatric Populations: A Scoping Review of the Clinical Trial Landscape (2025)
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Outcomes following resective and disconnective strategies in the treatment of epileptic spasms: a systematic review of the literature and individual patient data meta-analysis (2024)
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Outcome of Surgery for Hypothalamic Hamartoma-Related Epilepsy (2024)
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Self-Supervised Data-Driven Approach Defines Pathological High-Frequency Oscillations in Human (2024)
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Bilateral centromedian nucleus of thalamus responsive neurostimulation for pediatric‐onset drug‐resistant epilepsy (2024)
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Decoding imagined speech with delay differential analysis (2024)
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PyHFO: lightweight deep learning-powered end-to-end high-frequency oscillations analysis application (2024)
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Uncovering spatiotemporal dynamics of the corticothalamic network at ictal onset (2024)
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Hemispheric epilepsy surgery for hemimegalencephaly: The UCLA experience (2023)
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Added value of corpus callosotomy following vagus nerve stimulation in children with <scp>Lennox–Gastaut</scp> syndrome: A multicenter, multinational study (2023)
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Structural connections of the centromedian nucleus of thalamus and their relevance for neuromodulation in generalized drug-resistant epilepsy: insight from a tractography study (2023)
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Machine learning models for predicting seizure outcome after MR-guided laser interstitial thermal therapy in children (2023)
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Optimizing detection and deep learning-based classification of pathological high-frequency oscillations in epilepsy (2023)
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Characteristics of ictal thalamic EEG in pediatric-onset neocortical focal epilepsy (2023)
Collaboration Network
Top Collaborators
- Hemispherectomy Outcome Prediction Scale: Development and validation of a seizure freedom prediction tool
- Clinical utility of intraoperative electrocorticography for epilepsy surgery: A systematic review and meta‐analysis
- Extent of Tumor Resection and Survival in Pediatric Patients With High-Grade Gliomas
- Development and validation of machine learning models for prediction of seizure outcome after pediatric epilepsy surgery
- Long-term outcomes of pediatric epilepsy surgery: Individual participant data and study level meta-analyses
Showing 5 of 25 shared publications
- Hemispherectomy Outcome Prediction Scale: Development and validation of a seizure freedom prediction tool
- Clinical utility of intraoperative electrocorticography for epilepsy surgery: A systematic review and meta‐analysis
- Comparison of the real‐world effectiveness of vertical versus lateral functional hemispherotomy techniques for pediatric drug‐resistant epilepsy: A post hoc analysis of the HOPS study
- Extent of Tumor Resection and Survival in Pediatric Patients With High-Grade Gliomas
- Development and validation of machine learning models for prediction of seizure outcome after pediatric epilepsy surgery
Showing 5 of 18 shared publications
- Real-World Preliminary Experience With Responsive Neurostimulation in Pediatric Epilepsy: A Multicenter Retrospective Observational Study
- Clinical utility of intraoperative electrocorticography for epilepsy surgery: A systematic review and meta‐analysis
- Comparison of the real‐world effectiveness of vertical versus lateral functional hemispherotomy techniques for pediatric drug‐resistant epilepsy: A post hoc analysis of the HOPS study
- Extent of Tumor Resection and Survival in Pediatric Patients With High-Grade Gliomas
- Magnetic resonance‐guided laser interstitial thermal therapy for<scp>drug‐resistant</scp>epilepsy: A systematic review and individual participant data<scp>meta‐analysis</scp>
Showing 5 of 13 shared publications
- Real-World Preliminary Experience With Responsive Neurostimulation in Pediatric Epilepsy: A Multicenter Retrospective Observational Study
- Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach
- Characterizing physiological high-frequency oscillations using deep learning
- Bilateral centromedian nucleus of thalamus responsive neurostimulation for pediatric‐onset drug‐resistant epilepsy
- Optimizing detection and deep learning-based classification of pathological high-frequency oscillations in epilepsy
Showing 5 of 13 shared publications
- Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach
- Bilateral centromedian nucleus of thalamus responsive neurostimulation for pediatric‐onset drug‐resistant epilepsy
- Characteristics of ictal thalamic EEG in pediatric-onset neocortical focal epilepsy
- Structural connections of the centromedian nucleus of thalamus and their relevance for neuromodulation in generalized drug-resistant epilepsy: insight from a tractography study
- Clonally Focused Public and Private T Cells in Resected Brain Tissue From Surgeries to Treat Children With Intractable Seizures
Showing 5 of 9 shared publications
- Real-World Preliminary Experience With Responsive Neurostimulation in Pediatric Epilepsy: A Multicenter Retrospective Observational Study
- Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach
- Characterizing physiological high-frequency oscillations using deep learning
- Bilateral centromedian nucleus of thalamus responsive neurostimulation for pediatric‐onset drug‐resistant epilepsy
- Optimizing detection and deep learning-based classification of pathological high-frequency oscillations in epilepsy
Showing 5 of 9 shared publications
- Real-World Preliminary Experience With Responsive Neurostimulation in Pediatric Epilepsy: A Multicenter Retrospective Observational Study
- Hemispherectomy Outcome Prediction Scale: Development and validation of a seizure freedom prediction tool
- Comparison of the real‐world effectiveness of vertical versus lateral functional hemispherotomy techniques for pediatric drug‐resistant epilepsy: A post hoc analysis of the HOPS study
- Development and validation of machine learning models for prediction of seizure outcome after pediatric epilepsy surgery
- Seizure outcome of pediatric magnetic resonance‐guided laser interstitial thermal therapy versus open surgery: A matched <scp>noninferiority</scp> cohort study
Showing 5 of 8 shared publications
- Real-World Preliminary Experience With Responsive Neurostimulation in Pediatric Epilepsy: A Multicenter Retrospective Observational Study
- Epilepsy surgery in infants up to 3 months of age: Safety, feasibility, and outcomes: A multicenter, multinational study
- Comparison of the real‐world effectiveness of vertical versus lateral functional hemispherotomy techniques for pediatric drug‐resistant epilepsy: A post hoc analysis of the HOPS study
- Seizure outcome of pediatric magnetic resonance‐guided laser interstitial thermal therapy versus open surgery: A matched <scp>noninferiority</scp> cohort study
- Magnetic resonance imaging–guided stereotactic laser ablation therapy for the treatment of pediatric epilepsy: a retrospective multiinstitutional study
Showing 5 of 8 shared publications
- Hemispherectomy Outcome Prediction Scale: Development and validation of a seizure freedom prediction tool
- Human Astrocytes Exhibit Tumor Microenvironment-, Age-, and Sex-Related Transcriptomic Signatures
- Comparison of the real‐world effectiveness of vertical versus lateral functional hemispherotomy techniques for pediatric drug‐resistant epilepsy: A post hoc analysis of the HOPS study
- Extent of Tumor Resection and Survival in Pediatric Patients With High-Grade Gliomas
- Magnetic resonance imaging–guided stereotactic laser ablation therapy for the treatment of pediatric epilepsy: a retrospective multiinstitutional study
Showing 5 of 7 shared publications
- Real-World Preliminary Experience With Responsive Neurostimulation in Pediatric Epilepsy: A Multicenter Retrospective Observational Study
- Long-term outcomes of pediatric epilepsy surgery: Individual participant data and study level meta-analyses
- Characteristics of ictal thalamic EEG in pediatric-onset neocortical focal epilepsy
- Hemispheric epilepsy surgery for hemimegalencephaly: The UCLA experience
- Comparison of Hemispheric Surgery Techniques for Pediatric Drug-Resistant Epilepsy
Showing 5 of 7 shared publications
- Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach
- Characterizing physiological high-frequency oscillations using deep learning
- Optimizing detection and deep learning-based classification of pathological high-frequency oscillations in epilepsy
- PyHFO: lightweight deep learning-powered end-to-end high-frequency oscillations analysis application
- Characterizing physiological high-frequency oscillations using deep learning
Showing 5 of 7 shared publications
- Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach
- Characterizing physiological high-frequency oscillations using deep learning
- Optimizing detection and deep learning-based classification of pathological high-frequency oscillations in epilepsy
- PyHFO: lightweight deep learning-powered end-to-end high-frequency oscillations analysis application
- Characterizing physiological high-frequency oscillations using deep learning
Showing 5 of 7 shared publications
- Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach
- Characterizing physiological high-frequency oscillations using deep learning
- Optimizing detection and deep learning-based classification of pathological high-frequency oscillations in epilepsy
- PyHFO: lightweight deep learning-powered end-to-end high-frequency oscillations analysis application
- Characterizing physiological high-frequency oscillations using deep learning
Showing 5 of 7 shared publications
- Clinical utility of intraoperative electrocorticography for epilepsy surgery: A systematic review and meta‐analysis
- Extent of Tumor Resection and Survival in Pediatric Patients With High-Grade Gliomas
- Magnetic resonance‐guided laser interstitial thermal therapy for<scp>drug‐resistant</scp>epilepsy: A systematic review and individual participant data<scp>meta‐analysis</scp>
- Predictors of outcomes after surgery for medically intractable insular epilepsy: A systematic review and individual participant data <scp>meta‐analysis</scp>
- Barriers to epilepsy surgery in pediatric patients: A scoping review
Showing 5 of 7 shared publications
- Hemispherectomy Outcome Prediction Scale: Development and validation of a seizure freedom prediction tool
- Human Astrocytes Exhibit Tumor Microenvironment-, Age-, and Sex-Related Transcriptomic Signatures
- Comparison of the real‐world effectiveness of vertical versus lateral functional hemispherotomy techniques for pediatric drug‐resistant epilepsy: A post hoc analysis of the HOPS study
- Clonally Focused Public and Private T Cells in Resected Brain Tissue From Surgeries to Treat Children With Intractable Seizures
- Development of an online calculator for the prediction of seizure freedom following pediatric hemispherectomy using the Hemispherectomy Outcome Prediction Scale (HOPS)
Showing 5 of 6 shared publications
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