AIMC Topic: Schizophrenic Psychology
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Characterization of specific and distinct patient types in clinical trials of acute schizophrenia using an uncorrelated PANSS score matrix transform (UPSM).
Psychiatry research
Nov 11, 2020
Understanding the specificity of symptom change in schizophrenia can facilitate the evaluation antipsychotic efficacy for different symptom domains. Previous work identified a transform of PANSS using an uncorrelated PANSS score matrix (UPSM) to redu...
Prediction of physical violence in schizophrenia with machine learning algorithms.
Psychiatry research
Apr 13, 2020
Patients with schizophrenia have been shown to have an increased risk for physical violence. While certain features have been identified as risk factors, it has been difficult to integrate these variables to identify violent patients. The present stu...
Multivariate patterns of EEG microstate parameters and their role in the discrimination of patients with schizophrenia from healthy controls.
Psychiatry research
Apr 6, 2020
Quasi-stable electrical fields in the EEG, called microstates carry information on the dynamics of large scale brain networks. Using machine learning techniques, we explored whether abnormalities in microstates can be used to classify patients with s...
Pragmatics, Theory of Mind and executive functions in schizophrenia: Disentangling the puzzle using machine learning.
PloS one
Mar 3, 2020
OBJECTIVE: Schizophrenia is associated with a severe impairment in the communicative-pragmatic domain. Recent research has tried to disentangle the relationship between communicative impairment and other domains usually impaired in schizophrenia, i.e...
Cognition
Bayes Theorem
Memory, Short-Term
Schizophrenia
Neuropsychological Tests
Communication
Male
Middle Aged
Case-Control Studies
Social Communication Disorder
Models, Psychological
Linguistics
Schizophrenic Psychology
Theory of Mind
Executive Function
Humans
Machine Learning
Female
Young Adult
Adult
Multivariate classification of schizophrenia and its familial risk based on load-dependent attentional control brain functional connectivity.
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Oct 3, 2019
Patients with schizophrenia (SCZ), as well as their unaffected siblings (SIB), show functional connectivity (FC) alterations during performance of tasks involving attention. As compared with SCZ, these alterations are present in SIB to a lesser exten...
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data.
EBioMedicine
Aug 13, 2019
BACKGROUND: Current fMRI-based classification approaches mostly use functional connectivity or spatial maps as input, instead of exploring the dynamic time courses directly, which does not leverage the full temporal information.
Relative importance of symptoms, cognition, and other multilevel variables for psychiatric disease classifications by machine learning.
Psychiatry research
Mar 29, 2019
This study used machine-learning algorithms to make unbiased estimates of the relative importance of various multilevel data for classifying cases with schizophrenia (n = 60), schizoaffective disorder (n = 19), bipolar disorder (n = 20), unipolar dep...
Low-rank network signatures in the triple network separate schizophrenia and major depressive disorder.
NeuroImage. Clinical
Feb 18, 2019
Brain imaging studies have revealed that functional and structural brain connectivity in the so-called triple network (i.e., default mode network (DMN), salience network (SN) and central executive network (CEN)) are consistently altered in schizophre...
Machine learning for predicting psychotic relapse at 2 years in schizophrenia in the national FACE-SZ cohort.
Progress in neuro-psychopharmacology & biological psychiatry
Dec 12, 2018
BACKGROUND: Predicting psychotic relapse is one of the major challenges in the daily care of schizophrenia.
Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia.
Metabolic brain disease
Nov 22, 2018
Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs) and memory impairments, which are associated with PHEMN (psychosis, hostility, excitation, mannerism and negative) and DAPS (depression, anxiety and...
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