EEG-based measures in at-risk mental state and early stages of schizophrenia: a systematic review

A Perrottelli, GM Giordano, F Brando, L Giuliani… - Frontiers in …, 2021 - frontiersin.org
Introduction: Electrophysiological (EEG) abnormalities in subjects with schizophrenia have
been largely reported. In the last decades, research has shifted to the identification of …

Unveiling the associations between EEG indices and cognitive deficits in schizophrenia-Spectrum disorders: a systematic review

A Perrottelli, GM Giordano, F Brando, L Giuliani… - Diagnostics, 2022 - mdpi.com
Cognitive dysfunctions represent a core feature of schizophrenia-spectrum disorders due to
their presence throughout different illness stages and their impact on functioning …

A machine-learning framework for robust and reliable prediction of short-and long-term treatment response in initially antipsychotic-naïve schizophrenia patients …

KS Ambrosen, MW Skjerbæk, J Foldager… - Translational …, 2020 - nature.com
The reproducibility of machine-learning analyses in computational psychiatry is a growing
concern. In a multimodal neuropsychiatric dataset of antipsychotic-naïve, first-episode …

Is source‐resolved magnetoencephalographic mismatch negativity a viable biomarker for early psychosis?

F López‐Caballero, M Curtis… - European Journal of …, 2024 - Wiley Online Library
Mismatch negativity (MMN) is an auditory event‐related response reflecting the pre‐attentive
detection of novel stimuli and is a biomarker of cortical dysfunction in schizophrenia (SZ) …

Why mismatch negativity continues to hold potential in probing altered brain function in schizophrenia

J Todd, D Salisbury, PT Michie - Psychiatry and Clinical …, 2023 - Wiley Online Library
The brain potential known as mismatch negativity (MMN) is one of the most studied indices
of altered brain function in schizophrenia. This review looks at what has been learned about …

Deficits in pre-attentive processing of spatial location and negative symptoms in subjects at clinical high risk for schizophrenia

P Sehatpour, M Avissar, JT Kantrowitz… - Frontiers in …, 2021 - frontiersin.org
Deficits in mismatch negativity (MMN) generation are among the best-established
biomarkers for cognitive dysfunction in schizophrenia and predict conversion to …

Relationship of auditory electrophysiological responses to magnetic resonance spectroscopy metabolites in Early Phase Psychosis

LA Bartolomeo, AM Wright, RE Ma, TA Hummer… - International Journal of …, 2019 - Elsevier
Both auditory evoked responses and metabolites measured by magnetic resonance
spectroscopy (MRS) are altered in schizophrenia and other psychotic disorders, but the …

Impairment of novelty-related theta oscillations and P3a in never medicated first-episode psychosis patients

R Solís-Vivanco, A Mondragón-Maya… - npj …, 2021 - nature.com
We explored the neurophysiological activity underlying auditory novelty detection in
antipsychotic-naive patients with a first episode of psychosis (FEP). Fifteen patients with a …

Task-free recovery and spatial characterization of a globally synchronized network from resting-state EEG

AC Tang, AJ Privitera, Y Hua, R Fung - Intelligent Computing and Block …, 2021 - Springer
Diagnosis, treatment, and prevention of mental illness requires brain-based biomarkers that
can serve as effective targets of evaluation. Here we target the neuroanatomically and …

[PDF][PDF] Mismatch Negativity to Different Deviants and Links with Auditory Hallucinations in Schizophrenia

B Schryver - 2022 - ruor.uottawa.ca
Schizophrenia (SZ) is a complex and chronic psychotic disorder that affects approximately
1% of the world's population and is associated with positive, negative, and cognitive …