Evidence map›Paper›PMID 38311290›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2024

Pons-to-Cerebellum Hypoconnectivity Along the Psychosis Spectrum and Associations With Sensory Prediction and Hallucinations in Schizophrenia.

Samantha V Abram, Jessica P Y Hua, Spero Nicholas, Brian Roach, Sarah Keedy, John A Sweeney, Daniel H Mathalon, Judith M Ford

Open access · hybridAbstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Pons connectivity correlates with neurophysiological and clinical signatures of predictive coding in psychosis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Samantha V AbramDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California; San Francisco Veterans Affairs Health Care System, San Francisco, California.
Jessica P Y HuaDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California; San Francisco Veterans Affairs Health Care System, San Francisco, California.
Spero NicholasSan Francisco Veterans Affairs Health Care System, San Francisco, California.
Brian RoachSan Francisco Veterans Affairs Health Care System, San Francisco, California.
Sarah KeedyDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois.
John A SweeneyDepartment of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio.
Daniel H MathalonDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California; San Francisco Veterans Affairs Health Care System, San Francisco, California.
Judith M FordDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, California; San Francisco Veterans Affairs Health Care System, San Francisco, California. Electronic address: Judith.Ford@ucsf.edu.
University of California, San Francisco · USSan Francisco VA Health Care System · USSan Francisco VA Medical Center · USUniversity of Chicago · USUniversity of Cincinnati · US

Funding

Predictive Coding Abnormalities in Psychosis: EEG and fMRIR01MH058262 · NIMH · YALE UNIVERSITY · PI FORD, JUDITH M · 1998 to 2018
$6.4M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077862 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI SWEENEY, JOHN A · 2007 to 2010
$3.1M
Functional Brain Abnormalities in the Schizophrenia ProdromeR01MH076989 · NIMH · YALE UNIVERSITY · PI MATHALON, DANIEL H · 2007 to 2014
$2.3M
Neural mechanisms for antisaccade errors among schizophrenia familiesR01MH085485 · NIMH · UNIVERSITY OF GEORGIA · PI CLEMENTZ, BRETT A · 2009 to 2013
$1.4M
Secondary data analysis of existing data to explore the RDoC construct of agency across the psychosis spectrum using fMRI and EEGR03MH121900 · NIMH · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI FORD, JUDITH M · 2020 to 2021
$153k
An EEG Study of Reward Processing and Memory Dysfunction in SchizophreniaIK2CX002355 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI ABRAM, SAMANTHA · 2022 to 2025
–
CSRD Research Career Scientist Award ApplicationIK6CX002519 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI Judith M Ford · 2022 to 2026
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CSRD VA IK2 CX002355CSRD VA IK6 CX002519NIMH NIH HHS R01 MH058262NIMH NIH HHS R01 MH076989NIMH NIH HHS R01 MH077862NIMH NIH HHS R01 MH085485NIMH NIH HHS R03 MH121900
6 · The paper itself

Abstract

backgroundSensory prediction allows the brain to anticipate and parse incoming self-generated sensory information from externally generated signals. Sensory prediction breakdowns may contribute to perceptual and agency abnormalities in psychosis (hallucinations, delusions). The pons, a central node in a cortico-ponto-cerebellar-thalamo-cortical circuit, is thought to support sensory prediction. Examination of pons connectivity in schizophrenia and its role in sensory prediction abnormalities is lacking.

methodsWe examined these relationships using resting-state functional magnetic resonance imaging and the electroencephalography-based auditory N1 event-related potential in 143 participants with psychotic spectrum disorders (PSPs) (with schizophrenia, schizoaffective disorder, or bipolar disorder); 63 first-degree relatives of individuals with psychosis; 45 people at clinical high risk for psychosis; and 124 unaffected comparison participants. This unique sample allowed examination across the psychosis spectrum and illness trajectory. Seeding from the pons, we extracted average connectivity values from thalamic and cerebellar clusters showing differences between PSPs and unaffected comparison participants. We predicted N1 amplitude attenuation during a vocalization task from pons connectivity and group membership. We correlated participant-level connectivity in PSPs and people at clinical high risk for psychosis with hallucination and delusion severity.

resultsCompared to unaffected comparison participants, PSPs showed pons hypoconnectivity to 2 cerebellar clusters, and first-degree relatives of individuals with psychosis showed hypoconnectivity to 1 of these clusters. Pons-to-cerebellum connectivity was positively correlated with N1 attenuation; only PSPs with heightened pons-to-postcentral gyrus connectivity showed this pattern, suggesting a possible compensatory mechanism. Pons-to-cerebellum hypoconnectivity was correlated with greater hallucination severity specifically among PSPs with schizophrenia.

conclusionsDeficient pons-to-cerebellum connectivity linked sensory prediction network breakdowns with perceptual abnormalities in schizophrenia. Findings highlight shared features and clinical heterogeneity across the psychosis spectrum.

Indexed as

CerebellumElectroencephalographyHallucinationsMagnetic Resonance ImagingPonsPsychotic DisordersSchizophreniaAdultFemaleHumansMaleNeural PathwaysYoung AdultCerebellumEEGN1Resting-state fMRISchizophrenia spectrum

Identifiers

PMID38311290
PMCPMC11227403
OpenAlexW4391486886

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.