Bayesian Dysconnections https://t.co/XvXeJScIot : Karl Friston's comment on "Parietal-Prefrontal Feedforward Connectivity in Association With Schizophrenia Genetic Risk and Delusions" https://t.co/knm9lkaiw9 https://t.co/7YHxhmwpQS
Parietal-Prefrontal Feedforward Connectivity in Association With Schizophrenia Genetic Risk and Delusions.
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Oct 2019 – Jan 2023Where it's discussed
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X / Twitter25 posts
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YouTube2 videos
AI synopsis
What people are saying
Discussions exemplify support through phrases like 'great work' and highlight interest via mentions of advances in brain connectivity and machine learning applications. Engagement is shown by detailed references to Bayesian models and connectivity findings, indicating deep involvement, while impact is acknowledged through the potential for improved prediction models and understanding genetic risk, emphasizing its importance for future research.
Most discussions express support or recognition of the study’s findings, highlighting its significance and endorsing its contribution to schizophrenia research.
The social discussions demonstrate high interest, with mentions of how the research advances understanding of brain connectivity and its implications for delusions.
Many posts delve into methodological details, mention key researchers, and respond to interpretations, showing active engagement.
The community perceives the research as impactful, especially with references to its potential for improving predictions and understanding the neural basis of schizophrenia.
Abstract in brief
- The study investigates how deficits in feedforward communication between parietal and prefrontal brain regions, measured through fMRI, are linked to delusional thinking and genetic risk for schizophrenia.
- Patients with schizophrenia, especially those with delusions, show reduced parietal-prefrontal connectivity during working memory tasks involving context updating, and this connectivity is further affected by genetic risk factors.
- Using machine learning models, the researchers can predict individual differences in connectivity and relate deviations from these predictions to the severity of delusions in patients.]
Top posts
Most liked on X and BlueskyMachine learning models incorporating brain communication data across healthy subjects and schizophrenia patients could improve predictions of individual patients’ symptom severity. Learn More: https://t.co/9ApvNELYtO https://t.co/SGMbFg3aUB
Congrats to NIIN alum, Danielle (Borrajo) Greenman ('17) on her new 1st author paper from her work @LieberInstitute! In patients with #schizophrenia, the authors related brain functional connectivity to delusions & genetic risk for schizophrenia. Paper: https://t.co/rhhXeMgp2Y https://t.co/NnPqwxVvsZ
tonight, we discussed "Parietal-Prefrontal Feedforward Connectivity in Association With Schizophrenia Genetic Risk and Delusions" by Greenman et al. Great work, great article @Dr_Weinberger https://t.co/LmuP3lBpmF
”妄想形成の概念は、後頭葉から前頭前野にかけての(feedforward)情報の更新に障害があることが示唆されている。その結果、ワーキングメモリ内の新しい情報の統合が機能不全に陥り、最終的には慣れ親しんだ過去の信念を更新することができなくなる。” https://t.co/KA8w99cWw7
Parietal prefrontal feedforward connectivity in association with schizophrenia genetic risk and delusions https://t.co/uUdFaRfIko #biorxiv_neursci
All mentions
Parietal-Prefrontal Brain Connectivity and Schizophrenia Risk Analysis
This video explores how deficits in feedforward communication between parietal and prefrontal brain regions are linked to delusional thinking and genetic risk for schizophrenia. It covers fMRI findings, connectivity…
Brain Connectivity and Genetic Risk in Schizophrenia Delusions
American Journal of Psychiatry Deputy Editor Daniel S Pine discusses research on parietal-prefrontal connectivity deficits linked to delusions and genetic risk for schizophrenia, using fMRI and machine learning to…
”妄想形成の概念は、後頭葉から前頭前野にかけての(feedforward)情報の更新に障害があることが示唆されている。その結果、ワーキングメモリ内の新しい情報の統合が機能不全に陥り、最終的には慣れ親しんだ過去の信念を更新することができなくなる。” https://t.co/eykvyHIkui
”妄想形成の概念は、後頭葉から前頭前野にかけての(feedforward)情報の更新に障害があることが示唆されている。その結果、ワーキングメモリ内の新しい情報の統合が機能不全に陥り、最終的には慣れ親しんだ過去の信念を更新することができなくなる。” https://t.co/eykvyHIkui
”妄想形成の概念は、後頭葉から前頭前野にかけての(feedforward)情報の更新に障害があることが示唆されている。その結果、ワーキングメモリ内の新しい情報の統合が機能不全に陥り、最終的には慣れ親しんだ過去の信念を更新することができなくなる。” https://t.co/eykvyHIkui
RT @neuroraf: Bayesian Dysconnections https://t.co/XvXeJScIot : Karl Friston's comment on "Parietal-Prefrontal Feedforward Connectivity in…
RT @neuroraf: Bayesian Dysconnections https://t.co/XvXeJScIot : Karl Friston's comment on "Parietal-Prefrontal Feedforward Connectivity in…
RT @neuroraf: Bayesian Dysconnections https://t.co/XvXeJScIot : Karl Friston's comment on "Parietal-Prefrontal Feedforward Connectivity in…
RT @neuroraf: Bayesian Dysconnections https://t.co/XvXeJScIot : Karl Friston's comment on "Parietal-Prefrontal Feedforward Connectivity in…
RT @neuroraf: Bayesian Dysconnections https://t.co/XvXeJScIot : Karl Friston's comment on "Parietal-Prefrontal Feedforward Connectivity in…
Bayesian Dysconnections https://t.co/XvXeJScIot : Karl Friston's comment on "Parietal-Prefrontal Feedforward Connectivity in Association With Schizophrenia Genetic Risk and Delusions" https://t.co/knm9lkaiw9 https://t.co/7YHxhmwpQS
In our December Editor Spotlight video, Deputy Editor Danny Pine reviews studies on feedforward parietal-prefrontal information updating in schizophrenia and on thalamic structural abnormalities in psychosis. https://t.co/kTVhc5iCPB
tonight, we discussed "Parietal-Prefrontal Feedforward Connectivity in Association With Schizophrenia Genetic Risk and Delusions" by Greenman et al. Great work, great article @Dr_Weinberger https://t.co/LmuP3lBpmF
RT @USCNIIN: Congrats to NIIN alum, Danielle (Borrajo) Greenman ('17) on her new 1st author paper from her work @LieberInstitute! In patien…
Congrats to NIIN alum, Danielle (Borrajo) Greenman ('17) on her new 1st author paper from her work @LieberInstitute! In patients with #schizophrenia, the authors related brain functional connectivity to delusions & genetic risk for schizophrenia. Paper: https://t.co/rhhXeMgp2Y https://t.co/NnPqwxVvsZ
RT @shoei05: ”妄想形成の概念は、後頭葉から前頭前野にかけての(feedforward)情報の更新に障害があることが示唆されている。その結果、ワーキングメモリ内の新しい情報の統合が機能不全に陥り、最終的には慣れ親しんだ過去の信念を更新することができなくなる。” ht…
Parietal-Prefrontal Feedforward Connectivity in Association With Schizophrenia Genetic Risk and Delusions https://t.co/QeshGcp80I
RT @APAPubJournals: Machine learning models incorporating brain communication data across healthy subjects and schizophrenia patients could…
RT @APAPubJournals: Machine learning models incorporating brain communication data across healthy subjects and schizophrenia patients could…
RT @APAPubJournals: Machine learning models incorporating brain communication data across healthy subjects and schizophrenia patients could…
RT @APAPubJournals: Machine learning models incorporating brain communication data across healthy subjects and schizophrenia patients could…
Machine learning models incorporating brain communication data across healthy subjects and schizophrenia patients could improve predictions of individual patients’ symptom severity. Learn More: https://t.co/9ApvNELYtO https://t.co/SGMbFg3aUB
RT @shoei05: ”妄想形成の概念は、後頭葉から前頭前野にかけての(feedforward)情報の更新に障害があることが示唆されている。その結果、ワーキングメモリ内の新しい情報の統合が機能不全に陥り、最終的には慣れ親しんだ過去の信念を更新することができなくなる。” ht…
”妄想形成の概念は、後頭葉から前頭前野にかけての(feedforward)情報の更新に障害があることが示唆されている。その結果、ワーキングメモリ内の新しい情報の統合が機能不全に陥り、最終的には慣れ親しんだ過去の信念を更新することができなくなる。” https://t.co/KA8w99cWw7
RT @biorxiv_neursci: Parietal prefrontal feedforward connectivity in association with schizophrenia genetic risk and delusions https://t.c…
Parietal prefrontal feedforward connectivity in association with schizophrenia genetic risk and delusions https://t.co/uUdFaRfIko #biorxiv_neursci
Parietal prefrontal feedforward connectivity in association with schizophrenia genetic risk and delusions https://t.co/b1I3AFxwUN #bioRxiv
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