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News
October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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Content, Consumer, Corrections: A Neurocognitive Model of Misinformation Processing

Psychology. Journal of the Higher School of Economics. 2026. Vol. 23. No. 3. P. 512–527.
Monahhova E., Gorodnicheva Y., Morozova A., Klucharev V.

The rapid proliferation of misinformation in digital environments poses a serious threat to public health, political institutions, and public discourse. Behavioral research has accumulated substantial evidence on why people believe and share false information, yet individual studies address cognitive biases, social factors, or emotional processes largely in isolation. Additionally, the influential integrative frameworks that do exist operate exclusively at the behavioral level, overlooking the neurophysiological mechanisms of misinformation processing. This work addresses that gap by proposing a neurocognitive model that synthesizes behavioral and neuroimaging findings within a unified framework. Following an integrative review methodology, we organize the literature around three domains: message characteristics (Content: emotionality, novelty, repetition), individual consumer traits (Consumer: analytical thinking, need for cognition, working memory, conformity, emotional state, and prior beliefs), and corrective interventions (Corrections: reactive debunking and pre-emptive prebunking, inoculation, and warnings). For each domain, principal behavioral factors are mapped onto their fMRI and EEG/MEG/ERP correlates. Cross-domain analysis reveals that these behaviorally distinct phenomena rely on a shared neural infrastructure of four functional hubs, each performing a core computational operation: conflict detection (anterior cingulate cortex), belief valuation (ventromedial prefrontal cortex), memory encoding and persistence (hippocampal–amygdala circuit), and executive control (dorsolateral prefrontal cortex and inferior frontal gyrus). Framed as a mechanism sketch, the model generates testable neuroimaging predictions and points toward neuroscience-informed strategies for countering misinformation.

Research target: Psychology
Language: English
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Keywords: misinformationдезинформациянейронные коррелятыneural correlatesneurocognitive modelmisinformation correctionнейрокогнитивная моделькоррекция дезинформации
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