Results 71 to 80 of about 33,138 (231)

Intact Visual Correlation Detection in Autistic Adults

Autism Research, EarlyView.
ABSTRACT The ability to detect recurring temporal co‐occurrence, or temporal correlation, of sensory events is fundamental for organizing perceptual input into coherent representations. Although past work has revealed differences across several aspects of temporal processing in autism, it is unknown whether autistic and non‐autistic individuals differ ...
Lukas Vogelsang, Marin Vogelsang, Cindy E. Li, Margaret Kjelgaard, Annie Cardinaux, Charles A. Nelson, Pawan Sinha   +6 more
wiley   +1 more source

Decoding the social mind in depression: A computational dissociation between explicit trust and implicit belief updatingOSF

Acta Psychologica
This study employed a computational psychiatry approach to investigate how depressive symptoms impact belief updating about others' trustworthiness across different social contexts.
Sara Shakeri, Roshanak Khodabakhsh Pirkalani   +1 more
doaj   +1 more source

TikTok and Eating Disorders: A Narrative Review

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective TikTok has rapidly become one of the world's most influential social media platforms, distinguished by its algorithmically personalized video feed. Its design prioritizes continuous, engagement‐optimized content delivery, raising questions about how such environments may shape eating disorder risk, symptom maintenance, and recovery ...
Scott Griffiths, Sami Hondrogiannis, Noa Brittain   +2 more
wiley   +1 more source

(Mis)computation in Computational Psychiatry [PDF]

, 2020
An adequate explication of miscomputation should do justice to relevant practices in the computational sciences. While philosophers of computation have neglected scientific practices outside computer science, here I focus on computational psychiatry.
openaire   +2 more sources

A guide to neuromodulation in drug‐resistant epilepsy

Epileptic Disorders, EarlyView.
Abstract Neuromodulation is approved for the treatment of drug‐resistant epilepsy. It has been increasingly utilized over the past two decades with the approval of deep brain stimulation (DBS) and responsive neurostimulation (RNS) in addition to vagus nerve stimulation (VNS)—particularly in patients who are not deemed to be good resective surgical ...
Prachi Parikh, Irena Dolezawa, Manu Hegde, Lukas Imbach, Brian N. Lundstrom, Francesca Pizzo, Vikram R. Rao, Jaysingh Singh, Derek Southwell, Satsuke Watanabe, Birgit Frauscher   +10 more
wiley   +1 more source

Reported race-associated differences in control and schizophrenia post-mortem brain transcriptomes implicate stress-related and neuroimmune pathways

Frontiers in Molecular Neuroscience
BackgroundThe molecular mechanisms underlying racial disparities in schizophrenia (SCZ) illness courses and outcomes are poorly understood. While these differences are thought to arise partly through stressful social gradients, little is known about how ...
Shay Simmons, Shay Simmons, Keon Arbabi, Keon Arbabi, Daniel Felsky, Daniel Felsky, Daniel Felsky, Daniel Felsky, Michael Wainberg, Michael Wainberg, Shreejoy J. Tripathy, Shreejoy J. Tripathy, Shreejoy J. Tripathy, Shreejoy J. Tripathy   +13 more
doaj   +1 more source

Can epilepsy be predicted after the first febrile seizure? Insights from machine learning of postictal EEG

Epileptic Disorders, EarlyView.
Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu, Hüseyin Öztoprak, Özlem Yayıcı Köken, Hatice Demir, Mehpare Sarı Yanartaş, Deniz Yılmaz, Burçin Şanlıdağ, Ayşegül Neşe Çıtak Kurt   +7 more
wiley   +1 more source

Reducing maladaptive behavior in neuropsychiatric disorders using network modification

Frontiers in Psychiatry
Neuropsychiatric disorders are caused by many factors and produce a wide range of symptomatic maladaptive behaviors in patients. Despite this great variance in causes and resulting behavior, we believe the maladaptive behaviors that characterize ...
Nicholas M. Timme
doaj   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source