Nastasia Arkhipova
@hus.fi
Clinical Neurophysiology
EDUCATION
Almazov National Medical Research Centre/ Residency in Functional
Diagnostics
September 2016 - December 2016, Saint-Petersburg, Russia
Saint-Petersburg State University/ Residency in Neurology
September 2014 - August 2016, Saint-Petersburg, Russia
Specialization in Stroke, Epilepsy, Neuromuscular Diseases
Saint-Petersburg State University/ MD
September 2006 - August 2014, Saint-Petersburg, Russia
Thesis on Treatment of Epilepsy
*Maternity leave - September 2009 - August 2011
Online:
Level 1 of the ILAE Curriculum on Basic Principles of Epilepsy Diagnosis and
Care from July 26, 2022/ Medical Doctor, Epileptology
RESEARCH, TEACHING, or OTHER INTERESTS
Neurology (clinical), Neurology
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Artur Petrosyan, Alexey Voskoboinikov, Dmitrii Sukhinin, Anna Makarova, Anastasia Skalnaya, Nastasia Arkhipova, Mikhail Sinkin, and Alexei Ossadtchi
IOP Publishing
Abstract Objective. Speech decoding, one of the most intriguing brain-computer interface applications, opens up plentiful opportunities from rehabilitation of patients to direct and seamless communication between human species. Typical solutions rely on invasive recordings with a large number of distributed electrodes implanted through craniotomy. Here we explored the possibility of creating speech prosthesis in a minimally invasive setting with a small number of spatially segregated intracranial electrodes. Approach. We collected one hour of data (from two sessions) in two patients implanted with invasive electrodes. We then used only the contacts that pertained to a single stereotactic electroencephalographic (sEEG) shaft or an electrocorticographic (ECoG) stripe to decode neural activity into 26 words and one silence class. We employed a compact convolutional network-based architecture whose spatial and temporal filter weights allow for a physiologically plausible interpretation. Main results. We achieved on average 55% accuracy using only six channels of data recorded with a single minimally invasive sEEG electrode in the first patient and 70% accuracy using only eight channels of data recorded for a single ECoG strip in the second patient in classifying 26+1 overtly pronounced words. Our compact architecture did not require the use of pre-engineered features, learned fast and resulted in a stable, interpretable and physiologically meaningful decision rule successfully operating over a contiguous dataset collected during a different time interval than that used for training. Spatial characteristics of the pivotal neuronal populations corroborate with active and passive speech mapping results and exhibit the inverse space-frequency relationship characteristic of neural activity. Compared to other architectures our compact solution performed on par or better than those recently featured in neural speech decoding literature. Significance. We showcase the possibility of building a speech prosthesis with a small number of electrodes and based on a compact feature engineering free decoder derived from a small amount of training data.
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
Publications
Petrosyan, Artur, et al. "Speech decoding from a small set of spatially segregated minimally invasive intracranial EEG electrodes with a compact and interpretable neural Journal of Neural Engineering 19.6 (2022): 066016.
FAST RIPPLES VISUAL ANALYSIS OF EXTRAOPERATIVE ELECTROCORTICOGRAPHY IN LONG-STANDING PHARMACORESISTANT EPILEPSY. Poster Session at the 13th European Congress on Epileptology August 26-30 2018, Vienna, Austria
LONG-TERM ELECTROCORTICOGRAPHIC MONITORING AND PATHOLOGICAL HIGH-FREQUENCY OSCILLATIONS IN TUMOR-RELATED EPILEPSY, poster session at European Congress on Clinical Neurophysiology August 29 - September 2 2017, Budapest, Hungary.
POTENTIALLY PATHOLOGICAL FORMS OF ALPHA-ACTIVITY IN PATIENTS WITH REFRACTORY EPILEPSY, poster session at International Epilepsy Congress September 2-6 2017, Barcelona, Spain.
LONG-TERM INVASIVE MONITORING VERSUS INTRAOPERATIVE CORTICOGRAPHY: DIAGNOSTIC EFFICACY IN SYMPTOMATIC EPILEPSY, poster session at International Epilepsy Congress September 2-6 2017, Barcelona, Spain.
Aleksandrov, M. V., Kostenko, I. A., Arkhipova, N. B., Basharin, V. A., Tolkach, P. G., Chernyi, V. S., ... & Arutunyan, A. V. (2018). Suppression of brain electrical activity in general anesthesia: the dose-effect relationship. Bulletin of the Russian Military Medical Academy, 20(4), 79-85.
Arkhipova N. B., Ulitin A. Y., Alexandrov M. V. Analysis of decreased bioelectric activity of a brain with pharmacoresistant epilepsy //Bulletin of the Russian Mil