Publications related to Functional near-infrared spectroscopy

Symmetry and Rigidity for Boosting Erbium-Based Molecular Light-Upconversion in Solution

Jean-Claude Bünzli, Alexandre Fürstenberg

Previously limited to highly symmetrical homoleptic triple-helical complexes [Er(Lk)3]3+, where Lk are polyaromatic tridentate ligands, single-center molecular-based upconversion using linear optics and exploiting the excited-state absorption mechanism (ES ...

Weinheim2023

Probing Water Dissociation and Oxygen Replacement on Partially Oxygen-Covered Cu(111) by Reflection Absorption Infrared Spectroscopy

Rainer Beck, Mateusz Suchodol, Harmina Vejayan

The presence of chemisorbed oxygen on the Cu(111) surface is known to strongly reduce the activation barrier for water dissociation as compared to bare Cu(111). Here, we present direct experimental evidence for the hydrogen abstraction mechanism responsibl ...

2023

Linking connectivity of deep brain stimulation of nucleus accumbens area with clinical depression improvements: a retrospective longitudinal case series

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Thuy Anh Khoa Nguyen, Katrin Petermann, Simona Leserri

Treatment-resistant depression is a severe form of major depressive disorder and deep brain stimulation is currently an investigational treatment. The stimulation's therapeutic effect may be explained through the functional and structural connectivities be ...

SPRINGER HEIDELBERG2023

Spectral representation of EEG data using learned graphs with application to motor imagery decoding

Dimitri Nestor Alice Van De Ville, Hamid Behjat, Maliheh Miri

Electroencephalography (EEG) data entail a complex spatiotemporal structure that reflects ongoing organi-zation of brain activity. Characterization of the spatial patterns is an indispensable step in numerous EEG processing pipelines. We present a novel me ...

Oxford2023

Brain's Dynamic Functional Organization with Simultaneous EEG-fMRI Networks

João Pedro Forjaco Jorge, Patricia Figueiredo

The brain's functional networks can be assessed using imaging techniques like functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). Recent studies have suggested a link between the dynamic functional connectivity (dFC) captured by ...

SPRINGER INTERNATIONAL PUBLISHING AG2023

An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG

Silvestro Micera, Michael Lassi

Objective. This study aims to design and implement the first deep learning (DL) model to classify subjects in the prodromic states of Alzheimer's disease (AD) based on resting-state electroencephalographic (EEG) signals. Approach. EEG recordings of 17 heal ...

IOP Publishing Ltd2023

Photoluminescence brightening of single-walled carbon nanotubes through conjugation with graphene quantum dots

Ardemis Anoush Boghossian, Melania Reggente, Niloufar Sharif, Sayyed Hashem Sajjadi, Shang-Jung Wu

Spanning the tissue transparency window, the near-infrared (NIR) photoluminescence (PL) of single-walled carbon nanotubes (SWCNTs) can optically penetrate biological tissue for deep-tissue imaging and optical sensing. SWCNTs are often functionalized with s ...

2023

Multistage Ion Mobility Spectrometry Combined with Infrared Spectroscopy for Glycan Analysis

Thomas Rizzo, Ahmed Ben Faleh, Stephan Warnke, Priyanka Bansal

The structural complexity of glycans makes their characterization challenging, not only because of the presence of various isomeric forms of the precursor molecule but also because the fragments can themselves be isomeric. We have recently developed an IMS ...

AMER CHEMICAL SOC2023

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Functional near-infrared spectroscopy

Symmetry and Rigidity for Boosting Erbium-Based Molecular Light-Upconversion in Solution

Probing Water Dissociation and Oxygen Replacement on Partially Oxygen-Covered Cu(111) by Reflection Absorption Infrared Spectroscopy

Linking connectivity of deep brain stimulation of nucleus accumbens area with clinical depression improvements: a retrospective longitudinal case series

Rapid low-cost hyperspectral imaging system for quantitative assessment of infantile hemangioma

Spectral representation of EEG data using learned graphs with application to motor imagery decoding

A unified framework for Simplicial Kuramoto models

Brain's Dynamic Functional Organization with Simultaneous EEG-fMRI Networks

An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG

Photoluminescence brightening of single-walled carbon nanotubes through conjugation with graphene quantum dots

Multistage Ion Mobility Spectrometry Combined with Infrared Spectroscopy for Glycan Analysis

Graph Chatbot

Chat with Graph Search

Linking connectivity of deep brain stimulation of nucleus accumbens area with clinical depression improvements: a retrospective longitudinal case series

Probing Water Dissociation and Oxygen Replacement on Partially Oxygen-Covered Cu(111) by Reflection Absorption Infrared Spectroscopy

Spectral representation of EEG data using learned graphs with application to motor imagery decoding

Rapid low-cost hyperspectral imaging system for quantitative assessment of infantile hemangioma

An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG

Multistage Ion Mobility Spectrometry Combined with Infrared Spectroscopy for Glycan Analysis

Photoluminescence brightening of single-walled carbon nanotubes through conjugation with graphene quantum dots

A unified framework for Simplicial Kuramoto models