Prevention and early intervention in youth mental health: is it time for a multidisciplinary and trans-diagnostic model for care?

M Colizzi, A Lasalvia, M Ruggeri - International journal of mental health …, 2020 - Springer
Background Similar to other health care sectors, mental health has moved towards the
secondary prevention, with the effort to detect and treat mental disorders as early as …

Childhood trauma in schizophrenia: current findings and research perspectives

D Popovic, A Schmitt, L Kaurani, F Senner… - Frontiers in …, 2019 - frontiersin.org
Schizophrenia is a severe neuropsychiatric disorder with persistence of symptoms
throughout adult life in most of the affected patients. This unfavorable course is associated …

Quantifying performance of machine learning methods for neuroimaging data

L Jollans, R Boyle, E Artiges, T Banaschewski… - NeuroImage, 2019 - Elsevier
Abstract Machine learning is increasingly being applied to neuroimaging data. However,
most machine learning algorithms have not been designed to accommodate neuroimaging …

Automated diagnosis of depression from EEG signals using traditional and deep learning approaches: A comparative analysis

A Khosla, P Khandnor, T Chand - Biocybernetics and Biomedical …, 2022 - Elsevier
Depression is one of the significant contributors to the global burden disease, affecting
nearly 264 million people worldwide along with the increasing rate of suicidal deaths …

Brain-predicted age difference score is related to specific cognitive functions: a multi-site replication analysis

R Boyle, L Jollans, LM Rueda-Delgado, R Rizzo… - Brain imaging and …, 2021 - Springer
Brain-predicted age difference scores are calculated by subtracting chronological age from
'brain'age, which is estimated using neuroimaging data. Positive scores reflect accelerated …

EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD

H Kiiski, M Bennett, LM Rueda‐Delgado… - European Journal of …, 2020 - Wiley Online Library
Adults with attention‐deficit/hyperactivity disorder (ADHD) have been described as having
altered resting‐state electroencephalographic (EEG) spectral power and theta/beta ratio …

The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes

TM Brückl, VI Spoormaker, PG Sämann, AK Brem… - BMC psychiatry, 2020 - Springer
Background A major research finding in the field of Biological Psychiatry is that symptom-
based categories of mental disorders map poorly onto dysfunctions in brain circuits or …

Indole alkaloids from psychoactive mushrooms: chemical and pharmacological potential as psychotherapeutic agents

E Plazas, N Faraone - Biomedicines, 2023 - mdpi.com
Neuropsychiatric diseases such as depression, anxiety, and post-traumatic stress represent
a substantial long-term challenge for the global health systems because of their rising …

EEG/ERP-based biomarker/neuroalgorithms in adults with ADHD: Development, reliability, and application in clinical practice

A Müller, S Vetsch, I Pershin, G Candrian… - The World Journal of …, 2020 - Taylor & Francis
Objectives: The electrophysiological characteristics of attention-deficit/hyperactivity disorder
(ADHD) and recent machine-learning methods promise easy-to-use approaches that can …

Traces of trauma: a multivariate pattern analysis of childhood trauma, brain structure, and clinical phenotypes

D Popovic, A Ruef, DB Dwyer, LA Antonucci, J Eder… - Biological …, 2020 - Elsevier
Background Childhood trauma (CT) is a major yet elusive psychiatric risk factor, whose
multidimensional conceptualization and heterogeneous effects on brain morphology might …