AI Medical Compendium Journal:
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Showing 1 to 10 of 15 articles

Improved patient identification by incorporating symptom severity in deep learning using neuroanatomic images in first episode schizophrenia.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Brain alterations associated with illness severity in schizophrenia remain poorly understood. Establishing linkages between imaging biomarkers and symptom expression may enhance mechanistic understanding of acute psychotic illness. Constructing model...

Meta-analysis of human prediction error for incentives, perception, cognition, and action.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Prediction errors (PEs) are a keystone for computational neuroscience. Their association with midbrain neural firing has been confirmed across species and has inspired the construction of artificial intelligence that can outperform humans. However, t...

Detecting fine and elaborate movements with piezo sensors provides non-invasive access to overlooked behavioral components.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Behavioral phenotyping devices have been successfully used to build ethograms, but many aspects of behavior remain out of reach of available phenotyping systems. We now report on a novel device, which consists in an open-field platform resting on hig...

Reply to Winter et al: Interpreting weights of multimodal machine learning models-problems and pitfalls.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Interpreting weights of multimodal machine learning models-problems and pitfalls.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Deep learning-based behavioral analysis reaches human accuracy and is capable of outperforming commercial solutions.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
To study brain function, preclinical research heavily relies on animal monitoring and the subsequent analyses of behavior. Commercial platforms have enabled semi high-throughput behavioral analyses by automating animal tracking, yet they poorly recog...

Opportunities and challenges in the collection and analysis of digital phenotyping data.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
The broad adoption and use of smartphones has led to fundamentally new opportunities for capturing social, behavioral, and cognitive phenotypes in free-living settings, outside of research laboratories and clinics. Predicated on the use of existing p...

Deep learning for small and big data in psychiatry.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Psychiatry today must gain a better understanding of the common and distinct pathophysiological mechanisms underlying psychiatric disorders in order to deliver more effective, person-tailored treatments. To this end, it appears that the analysis of '...

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
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...

The striatum specifies the statistics of behavior.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology