A Functional Connectome-Based Neural Signature for Individualized Prediction of Antipsychotic Response in First-Episode Psychosis.

Hengyi Cao, Todd Lencz, Juan A Gallego, Jose M Rubio, Majnu John, Anita D Barber, Michael L Birnbaum, Delbert G Robinson, Anil K Malhotra

November 2023 Am J Psychiatry

Synopsis of Social media discussions

Participants express strong interest and general agreement through phrases like 'excited to share our work' and 'promising predictor,' emphasizing the potential of connectome-based signatures for improving psychosis treatment. The tone and emphasis on brain connectivity, especially highlighting the cerebellum, contribute to a sense of optimism and perceived significance, but most comments remain at the level of enthusiasm rather than detailed critique or in-depth analysis.

A
Agreement
 Moderate agreement

Most discussions highlight enthusiasm and support for the significance of the research findings, with words like 'excited' and 'promising' indicating strong agreement.

I
Interest
 High level of interest

Posts demonstrate high interest, focusing on the innovative aspects of connectomic signatures and their potential for personalized treatment.

E
Engagement
 Moderate level of engagement

While some contributions express excitement and acknowledge coauthors, few delve deeply into methodological details or broader implications, suggesting moderate engagement.

I
Impact
 Moderate level of impact

The discussions recognize the potential impact of the research on predicting treatment outcomes and expanding understanding of psychosis, though these ideas remain somewhat aspirational.

Social Mentions

YouTube

2 Videos

Twitter

12 Posts

Metrics

Video Views

170

Total Likes

21

Extended Reach

34,060

Social Features

14

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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Brain Connectivity Predicts Antipsychotic Response in First-Episode Psychosis

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72 views

  • Dr. Jessica Giddens DNP (nurse)
    @DrJGiddensRN (Twitter)

    https://t.co/JTscOcWDSB
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    February 27, 2024

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  • Journals of The American Psychiatric Association
    @APAPubJournals (Twitter)

    A Functional Connectome-Based Neural Signature for Individualized Prediction of Antipsychotic Response in First-Episode Psychosis https://t.co/cF28DOmkKA
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    November 17, 2023

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  • Carlos Mirapeix.
    @psicopeix (Twitter)

    A connectome-based functional signature as a promising early predictor for individualized response to antipsychotic treatment in first-episode psychosis, I assume that other psychopathologies and psychotherapy will also be investigated in the future. https://t.co/pqVVkPr5vR
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    November 1, 2023

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  • Michael Birnbaum
    @DocOTNY (Twitter)

    RT @HengyiCao: Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coa…
    view full post

    September 9, 2023

    5

  • leafs
    @leafs_s_jp (Twitter)

    これも小脳か A Functional Connectome-Based Neural Signature for Individualized Prediction of Antipsychotic Response in First-Episode Psychosis https://t.co/WEQY1UEDG1
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    September 9, 2023

    1

  • Roscoe Brady
    @roscoebradyjr (Twitter)

    RT @HengyiCao: Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coa…
    view full post

    September 9, 2023

    5

  • Dr. Indrit Bègue
    @indrit_begue (Twitter)

    RT @HengyiCao: Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coa…
    view full post

    September 8, 2023

    5

  • Todd Lencz
    @ToddLencz (Twitter)

    RT @HengyiCao: Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coa…
    view full post

    September 8, 2023

    5

  • Zucker Hillside Psychiatric Neuroscience
    @zhhresearch (Twitter)

    RT @HengyiCao: Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coa…
    view full post

    September 8, 2023

    5

  • Hengyi Cao
    @HengyiCao (Twitter)

    Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coauthors! @zhhresearch @ToddLencz @jgallegomd @JRubioMD @docETP @akmalhotramd Again, the cerebellum stands out in the spotlight. https://t.co/nLhmtGP2Da
    view full post

    September 8, 2023

    13

    5

  • Journals of The American Psychiatric Association
    @APAPubJournals (Twitter)

    The functional organization of the brain may predict an individual's improvement in psychosis symptoms after antipsychotic treatment. https://t.co/TYnHjaVrTa https://t.co/SV6ULGL7R5
    view full post

    September 7, 2023

    3

  • MRIPubAlert
    @MRIPubAlert (Twitter)

    A Functional Connectome-Based Neural Signature for Individualized Prediction of Antipsychotic Response in First-Episode Psychosis. URL: https://t.co/dmfhPuGTtW
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    August 30, 2023

Abstract Synopsis

  • This study found a specific brain connectivity pattern that can predict how individual patients with first-episode psychosis will respond to antipsychotic medication, using fMRI scans taken at the start of treatment.
  • The predictive model focused on connections related to the cerebellar and cortical regions, with certain connectivity patterns indicating better or worse treatment outcomes, and it was successful in both the initial and an independent validation sample.
  • Overall, this research suggests that brain connectivity features could serve as early biomarkers for personalizing treatment in psychosis, potentially leading to better, more targeted therapies.]