Publications related to Electrodermal activity

Ambulatory seizure detection

Purpose of review: To review recent advances in the field of seizure detection in ambulatory patients with epilepsy. Recent findings: Recent studies have shown that wrist or arm wearable sensors, using 3D-accelerometry, electrodermal activity or photopleth ...

2024

Development and application of dynamic functional connectivity methods to elucidate the neural underpinnings of human behaviour with functional magnetic resonance imaging

Thomas William Arthur Bolton

Human behaviour is exquisitely complex, because it is staggeringly multi-facetted and subtly varies across individuals. Characterising its yet incompletely understood underlying biological mechanisms has profound clinical implications. Here, our goal was t ...

EPFL2020

First Biopotential Recordings from a Liquid Crystal Optrode

Emilie Cornelia Maria Revol, Han Wang

One of the goals of the Neural Engineering System Design (NESD) program in the United States and of similar programs around the world is to develop an interface able to read from one million neurons in parallel. This is well beyond the capabilities of trad ...

SPIE-INT SOC OPTICAL ENGINEERING2019

EEG topographies provide subject-specific correlates of motor control

Dimitri Nestor Alice Van De Ville, José del Rocio Millán Ruiz, Silvestro Micera, Elvira Pirondini, Martina Coscia, Jesús Minguillón Campos

Electroencephalography (EEG) of brain activity can be represented in terms of dynamically changing topographies (microstates). Notably, spontaneous brain activity recorded at rest can be characterized by four distinctive topographies. Despite their well-es ...

Nature Research2017

Improvement in precision grip force control with self-modulation of primary motor cortex during motor imagery

Roger Gassert, Maria Laura Blefari

Motor imagery (MI) has shown effectiveness in enhancing motor performance. This may be due to the common neural mechanisms underlying MI and motor execution (ME). The main region of the ME network, the primary motor cortex (M1), has been consistently linke ...

Frontiers Research Foundation2015

Emotion Detection and Recognition based on Brain and Peripheral Physiological Signals

Eleni Kroupi

Emotions affect and determine social relationships and interactions, memory and creativity, and influence the mechanisms of rational thinking and decision making. The influence of emotion on decision making has gained attention in computer science. By d ...

EPFL2014

Implicit Affective Profiling of Subjects based on Physiological Data Coupling

Touradj Ebrahimi, Jean-Marc Vesin, Eleni Kroupi

Evidence from neuroscience and psychology supports the idea that synchronization among various sub-components of the organism is the key-point to emotional processes. This study investigates the way signals from the central nervous system interact with sig ...

2014

A computer-assisted multi-electrode patch-clamp system

Henry Markram, Rodrigo de Campos Perin

The patch-clamp technique is today the most well-established method for recording electrical activity from individual neurons or their subcellular compartments. Nevertheless, achieving stable recordings, even from individual cells, remains a time-consuming ...

Journal of Visualized Experiments2013

Intra and cross-modal negative BOLD response to contrast-varying visual stimuli

Rolf Gruetter, Wietske Van der Zwaag, João Pedro Forjaco Jorge, Patricia Figueiredo

The BOLD contrast is widely used to study brain function. Under externally-applied stimuli, positive BOLD responses (PBR) are generally attributed to local increases in brain activity. Negative BOLD responses (NBR) are also frequently observed, but their u ...

2012

Higher-Order Spectrum in Understanding Nonlinearity in EEG Rhythms

The fundamental nature of the brain's electrical activities recorded as electroencephalogram (EEG) remains unknown. Linear stochastic models and spectral estimates are the most common methods for the analysis of EEG because of their robustness, simplicity ...

2012