Aria Fallah

High Impact

Assistant Professor

University of Arkansas for Medical Sciences

faculty

36 h-index 209 pubs 3,516 cited

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Biography and Research Information

OverviewAI-generated summary

Aria Fallah's research focuses on the intersection of neuroscience and medical interventions, particularly in the context of epilepsy and neurological disorders. Fallah has published work investigating novel platforms for monitoring and stimulating neural activity in humans, including a wearable system for single-neuron and local field potential recording. This work aims to advance the understanding and treatment of conditions affecting the brain.

Further contributing to the field of epilepsy research, Fallah's publications include studies on responsive neurostimulation in pediatric populations, the development and validation of tools to predict seizure freedom after surgery, and systematic reviews and meta-analyses on the clinical utility of intraoperative electrocorticography. Additionally, Fallah has explored the molecular underpinnings of neurological conditions, examining transcriptomic signatures in human astrocytes related to the tumor microenvironment, age, and sex.

With a substantial publication record (209 publications) and a significant citation count (3,516), Fallah is recognized as a highly cited researcher. Key collaborators include Gregory W. Albert, with whom Fallah has co-authored several publications. Fallah's work is characterized by its clinical relevance and its exploration of advanced technologies and analytical methods in neurological science.

Metrics

  • h-index: 36
  • Publications: 209
  • Citations: 3,516

Selected Publications

  • Deep Brain Stimulation in Pediatric Populations: A Scoping Review of the Clinical Trial Landscape (2025) DOI
  • 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) DOI
  • Outcome of Surgery for Hypothalamic Hamartoma-Related Epilepsy (2024) DOI
  • Self-Supervised Data-Driven Approach Defines Pathological High-Frequency Oscillations in Human (2024) DOI
  • Bilateral centromedian nucleus of thalamus responsive neurostimulation for pediatric‐onset drug‐resistant epilepsy (2024) DOI
  • Decoding imagined speech with delay differential analysis (2024) DOI
  • PyHFO: lightweight deep learning-powered end-to-end high-frequency oscillations analysis application (2024) DOI
  • Uncovering spatiotemporal dynamics of the corticothalamic network at ictal onset (2024) DOI
  • Hemispheric epilepsy surgery for hemimegalencephaly: The UCLA experience (2023) DOI
  • Added value of corpus callosotomy following vagus nerve stimulation in children with <scp>Lennox–Gastaut</scp> syndrome: A multicenter, multinational study (2023) DOI
  • Structural connections of the centromedian nucleus of thalamus and their relevance for neuromodulation in generalized drug-resistant epilepsy: insight from a tractography study (2023) DOI
  • Machine learning models for predicting seizure outcome after MR-guided laser interstitial thermal therapy in children (2023) DOI
  • Optimizing detection and deep learning-based classification of pathological high-frequency oscillations in epilepsy (2023) DOI
  • Characteristics of ictal thalamic EEG in pediatric-onset neocortical focal epilepsy (2023) DOI
  • Development of an online calculator for the prediction of seizure freedom following pediatric hemispherectomy using the Hemispherectomy Outcome Prediction Scale (HOPS) (2023) DOI

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