Wyszukiwarka
Informacje szczegółowe
- Akronim projektu:
- NeuroStim
- Program finansujący:
- Program Operacyjny Inteligentny Rozwój
- Instytucja:
- Fundacja na Rzecz Nauki Polskiej (Foundation for Polish Science)
- Porozumienie:
- POIR.04.04.00-00-4379/17-00 (nowy nr umowy); First TEAM/2017-4/35 (stary nr umowy) z dnia 2018-06-22
- Okres realizacji:
- 2018-06-01 - 2022-08-31
- Kierownik projektu:
- dr Michał Tomasz Kucewicz
- Członkowie zespołu:
-
- Kierownik projektu dr Michał Tomasz Kucewicz
- Młody Doktor dr inż. Michał Lech
- Realizowany w:
- Wydział Elektroniki, Telekomunikacji i Informatyki
- Instytucje zewnętrzne
biorące udział w projekcie: -
- Uniwersytet Medyczny we Wroclawiu (Polska)
- Mayo Clinic, Rochester MN, USA (Stany Zjednoczone)
- Instytut Biologii Doswiadczalnej im. Marcelego Nenckiego w Warszawie (Polska)
- Wartość projektu:
- 3 633 687.00 PLN
- Typ zgłoszenia:
- Fundusze Europejskie [w tym Fundusze Strukturalne]
- Pochodzenie:
- Projekt krajowy
- Weryfikacja:
- Politechnika Gdańska
Publikacje powiązane z tym projektem
Filtry
wszystkich: 9
Katalog Projektów
Rok 2023
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Direct electrical brain stimulation of human memory: lessons learnt and future perspectives
PublikacjaModulation of cognitive functions supporting human declarative memory is one of the grand challenges of neuroscience, and of vast importance for a variety of neuropsychiatric, neurodegenerative and neurodevelopmental diseases. Despite a recent surge of successful attempts at improving performance in a range of memory tasks, the optimal approaches and parameters for memory enhancement have yet to be determined. On a more fundamental...
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How Can We Identify Electrophysiological iEEG Activities Associated with Cognitive Functions?
PublikacjaElectrophysiological activities of the brain are engaged in its various functions and give rise to a wide spectrum of low and high frequency oscillations in the intracranial EEG (iEEG) signals, commonly known as the brain waves. The iEEG spectral activities are distributed across networks of cortical and subcortical areas arranged into hierarchical processing streams. It remains a major challenge to identify these activities in...
Rok 2022
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Cognitive neuroscience: Theta network oscillations coordinate development of episodic memory
PublikacjaOur ability to remember life events matures through childhood and adolescence. A new study has revealed how theta oscillations between two anatomical brain regions supporting memory and executive functions are synchronized and develop across age through functional and structural connectivity.
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Hotspot of human verbal memory encoding in the left anterior prefrontal cortex
PublikacjaBackground: Treating memory and cognitive deficits requires knowledge about anatomical sites and neural activities to be targeted with particular therapies. Emerging technologies for local brain stimulation offer attractive therapeutic options but need to be applied to target specific neural activities, at distinct times, and in specific brain regions that are critical for memory formation. Methods: The areas that are critical...
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Intracranial electrophysiological recordings from the human brain during memory tasks with pupillometry
PublikacjaData comprise intracranial EEG (iEEG) brain activity represented by stereo EEG (sEEG) signals, recorded from over 100 electrode channels implanted in any one patient across various brain regions. The iEEG signals were recorded in epilepsy patients (N=10) undergoing invasive monitoring and localization of seizures when they were performing a battery of four memory tasks lasting approx. 1 hour in total. Gaze tracking on the task...
Rok 2021
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Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation
PublikacjaA wide spectrum of brain rhythms are engaged throughout the human cortex in cognitive functions. How the rhythms of various frequency ranges are coordinated across the space of the human cortex and time of memory processing is inconclusive. They can either be coordinated together across the frequency spectrum at the same cortical site and time or induced independently in particular bands. We used a large dataset of human intracranial...
Rok 2019
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A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection
PublikacjaComputational cost is an important consideration for memory encoding prediction models that use data from dozens of implanted electrodes. We propose a method to reduce computational expense by selecting a subset of all the electrodes to build the prediction model. The electrodes were selected based on their likelihood of measuring brain activity useful for predicting memory encoding better than chance (in terms of AUC). A logistic...
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Special techniques and future perspectives: Simultaneous macro- and micro-electrode recordings
PublikacjaThere are many approaches to studying the inner workings of the brain and its highly interconnected circuits. One can look at the global activity in different brain structures using non-invasive technologies like positron emission tomography (PET) or functional magnetic resonance imaging (fMRI), which measure physiological changes, e.g. in the glucose uptake or blood flow. These can be very effectively used to localize active patches...
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Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance
PublikacjaIdentification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to classify active electrodes showing event-related intracranial EEG (iEEG) responses from 115 patients performing a free recall verbal memory task. Our approach employed new interpretable...
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