Concept

Classification of mental disorders

Related publications (32)

Antibody-Coated Wearable Organic Electrochemical Transistors for Cortisol Detection in Human Sweat

Danick Briand, Marwan El Chazli, Silvia Demuru, Jaemin Kim

The dysregulation of the hormone cortisol is related to several pathological states, and its monitoring could help prevent severe stress, fatigue, and mental diseases. While wearable antibody-based biosensors could allow real-time and simple monitoring of ...

AMER CHEMICAL SOC2022

Exploring associations between diurnal cortisol, stress, coping and psychopathology in adolescents and young adults with 22q11.2 deletion syndrome

Maria del Carmen Sandi Perez, Olivia Zanoletti, Maude Schneider, Farnaz Delavari

Background: 22q11.2 deletion syndrome (22q11DS) is a neurogenetic condition associated to a high risk for psychiatric disorders, including psychosis. Individuals with 22q11DS are thought to experience increased levels of chronic stress, which could lead to ...

2022

A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic

Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect data from patients with such contagious diseases, many research teams have turned to crowdsourcing to ...

2022

Multi-centre classification of functional neurological disorders based on resting-state functional connectivity

Dimitri Nestor Alice Van De Ville, Jonas Richiardi

Background: Patients suffering from functional neurological disorder (FND) experience disabling neurological symptoms not caused by an underlying classical neurological disease (such as stroke or multiple sclerosis). The diagnosis is made based on reliable ...

ELSEVIER SCI LTD2022

Computing schizophrenia: ethical challenges for machine learning in psychiatry

Recent advances in machine learning (ML) promise far-reaching improvements across medical care, not least within psychiatry. While to date no psychiatric application of ML constitutes standard clinical practice, it seems crucial to get ahead of these devel ...

2021

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

Transient electronics: new opportunities for implantable neurotechnology

Diego Ghezzi, Adele Fanelli

Neurotechnology includes artificial devices integrated with the neural tissue to mitigate the burden of neurological and mental disorders. This field has significantly expanded its range of applications thanks to the development of flexible, stretchable an ...

2021

Long-term effects of early treatment with SSRIs on cognition and brain development in individuals with 22q11.2 deletion syndrome

Maude Schneider, Marie Schaer, Karin Bortolin

Cognitive deficits in individuals at risk of psychosis represent a significant challenge for research, as current strategies for symptomatic treatment are often ineffective. Recent studies showed that atypical cognitive development predicts the occurrence ...

SPRINGERNATURE2021

The shine-through paradigm and the schizophrenia spectrum: a summary

Michael Herzog, Simona Adele Garobbio, Maya Roinishvili, Ophélie Gladys Favrod

In the past 10 years, our laboratory has proved the shine-through paradigm to be a very sensitive endophenotype for schizophrenia. The shine-through paradigm is a visual backward masking task, where the target is a vertical vernier followed by a 25-element ...

2021

Neural interface systems with on-device computing: machine learning and neuromorphic architectures

Mahsa Shoaran

Development of neural interface and brain-machine interface (BMI) systems enables the treatment of neurological disorders including cognitive, sensory, and motor dysfunctions. While neural interfaces have steadily decreased in form factor, recent developme ...

CURRENT BIOLOGY LTD2021

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