Reactivation strength during cued recall is modulated by graph distance within cognitive maps

Medicine, Neurology, Clinical Psychology, Life Sciences, Biophysics,
reactivation   memory recall   cognitive maps   graph distance   magnetoencephalography   neuroscience   memory mechanisms  

Reactivation Strength in Memory is Modulated by Graph Distance in Cognitive Maps Research Background Memory formation and retrieval are among the crucial areas of research in neuroscience. Classic memory theories propose that memory depends on three distinct stages: encoding, consolidation, and retrieval. New episodic memories are formed through en...

Speech Prosody Serves Temporal Prediction of Language via Contextual Entrainment

Medicine, Neurology, Clinical Psychology, Life Sciences, Biophysics,
speech prosody   temporal prediction   contextual entrainment   electrophysiology   MEG   language comprehension  

Time prediction plays an important role in language comprehension, making language processing faster and more efficient. Especially in complex auditory and language processing, predicting the information of the upcoming utterance can improve comprehension efficiency and reduce cognitive load. Existing research has shown that listeners can utilize t...

Risk Factors for Domain-Specific Neurocognitive Outcome in Pediatric Survivors of a Brain Tumor in the Posterior Fossa – Results of the HIT 2000 Trial

Medicine, Pediatrics, Neurology, Neurosurgery, Clinical Psychology, Oncology,
Neurocognitive outcome   Pediatric brain tumor   Posterior fossa   HIT 2000 trial   Risk factors analysis  

Analysis of Risk Factors Related to Specific Domain Neurocognitive Outcomes in Pediatric Survivors of Posterior Fossa Brain Tumors – HIT 2000 Trial Results Research Background Brain tumors are the most common solid tumors in childhood, particularly central nervous system (CNS) tumors. Studies have shown that patients who receive craniospinal irradi...

GCTNet: A Graph Convolutional Transformer Network for Major Depressive Disorder Detection Based on EEG Signals

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence, Medicine, Psychiatry, Neurology, Clinical Psychology, Medical Imaging,
Major Depressive Disorder   EEG   Deep Learning   Phase Locking Value   Contrastive Learning  

GCTNet: Graph Convolution Transformer Network for Detecting Major Depressive Disorder Based on EEG Signals Research Background Major Depressive Disorder (MDD) is a prevalent mental illness characterized by significant and persistent low mood, affecting over 350 million people worldwide. MDD is one of the leading causes of suicide, resulting in appr...

The Effect of TDCS on Inhibitory Control and its Transfer Effect on Sustained Attention in Children with Autism Spectrum Disorder: An fNIRS Study

Medicine, Psychiatry, Neurology, Clinical Psychology, Medical Imaging,
Autism   Inhibitory Control   TDCS   Sustained Attention   fNIRS   Behavioral Intervention  

The Effect of TDCS on Inhibitory Control and Its Transfer Effect on Sustained Attention in Children with Autism Spectrum Disorder: An fNIRS Study Background Autism Spectrum Disorder (ASD) is a type of neurodevelopmental disorder characterized by social communication impairments, narrow interests, and repetitive behaviors. Many studies have found th...

Epidemiology of Intimate Partner and Domestic Violence-Related Traumatic Brain Injury in the United States

Medicine, Environmental and Public Health, Neurology, Neurosurgery, Clinical Psychology,
injury   brain injury   epidemiology   domestic violence   intimate partner violence  

Epidemiological Study of Intimate Partner and Domestic Violence-Related Traumatic Brain Injuries in the United States from 2018-2021 Background Intimate partner violence (IPV) and domestic violence (DV) have severe medical, social, and legal consequences for victims. These violent events often result in traumatic brain injuries (TBIs), further exac...