Publications associées à Cognitive therapy

Rational Design of Chemically Controlled Antibodies and Protein Therapeutics

Li Tang, Bruno Emanuel Ferreira De Sousa Correia, Sandrine Madeleine Suzanne Georgeon, Anthony Marchand, Leo Scheller, Lucia Bonati, Pablo Gainza Cirauqui, Stéphane Rosset, Sailan Shui

Protein-based therapeutics, such as monoclonal antibodies and cytokines, are important therapies for various pathophysiological conditions such as oncology, autoimmune disorders, and viral infections. However, the wide application of such protein therapeut ...

2023

Real-Time fMRI Neurofeedback: Methods and Application to Chronic Tinnitus

Nicolas Gninenko

In the last twenty years, advances in real-time functional magnetic resonance imaging (rt-fMRI) have offered exciting new tools to study the human brain. One of them, termed rt-fMRI neurofeedback (NF), has turned the MRI scanner environment into an interac ...

EPFL2022

Rituals of art and science to decompart(mentalize) knowledge

Bruno Herbelin

We here explore the potential of rituals in order to more fully comprehend the subjective mechanisms of listening, leading to a broader understanding of phenomenal consciousness (why and how do I know that I am experiencing something?). The originality of ...

Universitat Oberta de Catalunya, and ISEA lnternational2022

Determining patterns of post-stroke motor recovery through longitudinal multimodal MRI: A step towards patient stratification

Julia Brügger

Motivated by the need for a better understanding of post-stroke recovery and new biomarkers to improve stroke patient stratification and outcomes, this thesis investigated structure-function coupling and its role in post-stroke recovery. Furthermore, in or ...

EPFL2022

The perspectives of mapping and monitoring of the sense of self in neurosurgical patients

Olaf Blanke, Bruno Herbelin, Hyeongdong Park, Sophie Jacqueline Andrée Betka, Pavo Orepic, Sixto Luis Alcoba Banqueri, Giannina Rita Iannotti

Surgical treatment of tumors, epileptic foci or of vascular origin, requires a detailed individual pre-surgical workup and intra-operative surveillance of brain functions to minimize the risk of post-surgical neurological deficits and decline of quality of ...

SPRINGER WIEN2021

Late Fusion of the Available Lexicon and Raw Waveform-based Acoustic Modeling for Depression and Dementia Recognition

Petr Motlicek, Mathew Magimai Doss, Julian David Fritsch, Subrahmanya Pavankumar Dubagunta

Mental disorders, e.g. depression and dementia, are categorized as priority conditions according to the World Health Organization (WHO). When diagnosing, psychologists employ structured questionnaires/interviews, and different cognitive tests. Although acc ...

ISCA-INT SPEECH COMMUNICATION ASSOC2021

Decoding Cognitive States under Varying Difficulty Levels

Ping-Keng Jao

Understanding cognitive states of human under different difficulty levels is useful in improving human-human and human-machine interactions. For example, a crucial factor in designing games is maintaining the engagement of players. An ideal scenario would ...

EPFL2020

Brain functional connectivity dynamics at rest in the aftermath of affective and cognitive challenges

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Gwladys Rey, Julian Gaviria

Carry-over effects on brain states have been reported following emotional and cognitive events, persisting even during subsequent rest. Here, we investigated such effects by identifying recurring co-activation patterns (CAPs) in neural networks at rest wit ...

Wiley2020

EEG Correlates of Difficulty Levels in Dynamical Transitions of Simulated Flying and Mapping Tasks

David Atienza Alonso, José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Adriana Arza Valdes, Fabio Isidoro Tiberio Dell'Agnola, Ping-Keng Jao

Decoding the subjective perception of task difficulty may help improve operator performance, i.e., automatically optimize the task difficulty level. Here, we aim to decode a compound of cognitive states that covaries with the task difficulty level. We desi ...

2020

GEFF: Graph embedding for functional fingerprinting

Enrico Amico

It has been well established that Functional Connectomes (FCs), as estimated from functional MRI (fMRI) data, have an individual fingerprint that can be used to identify an individual from a population (subject-identification). Although identification rate ...

2020