MétaCan
Menu
Back to cohort

Association of Neuroimaging Measures of Emotion Processing and Regulation Neural Circuitries With Symptoms of Bipolar Disorder in Offspring at Risk for Bipolar Disorder

2018· article· en· W2891392885 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAMA Psychiatry · 2018
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsUniversity of Toronto
FundersNational Institute of Mental Health
KeywordsBipolar disorderNeuroimagingOffspringAssociation (psychology)PsychologyNeuroscienceFunctional neuroimagingPsychiatryClinical psychologyCognitionPsychotherapistBiologyGeneticsPregnancy

Abstract

fetched live from OpenAlex

Importance: Bipolar disorder (BD) is difficult to distinguish from other psychiatric disorders. Neuroimaging studies can identify objective markers of BD risk. Objective: To identify neuroimaging measures in emotion processing and regulation neural circuitries and their associations with symptoms specific to youth at risk for BD. Design, Setting, and Participants: This cross-sectional (August 1, 2011, to July 31, 2017) and longitudinal (February 1, 2013, to November 30, 2017) neuroimaging study performed at the University of Pittsburgh Medical Center compared a sample of 31 offspring of parents with BD (OBP) with 28 offspring of comparison parents with non-BD psychopathologies (OCP) and 21 offspring of healthy parents (OHP); OBP, OCP, and OHP were recruited from the Bipolar Offspring Study and the Longitudinal Assessment of Manic Symptoms Study. Main Outcomes and Measures: Group differences in activity and functional connectivity during emotional face processing and n-back task performance in amygdala, dorsolateral and ventrolateral prefrontal cortices (PFC), caudal anterior cingulate cortices (cACC), and rostral anterior cingulate cortices (rACC) neuroimaging measures showing between-group differences and symptom severity (anxiety, affective lability, depression, mania). We hypothesized that elevated amygdala activity and/or lower PFC activity and abnormal amygdala to PFC functional connectivity would distinguish OBP from OCP and OHP, and magnitudes of these abnormalities would positively correlate with elevated symptom severity. We explored associations between changes in neuroimaging and symptom measures over follow-up (mean [SD], 2.9 [1.4] years) in a subset of participants (n = 30). Results: Eighty participants were included (mean [SD] age, 14.2 (2.1) years; 35 female). Twelve neuroimaging measures explained 51% of the variance in the results of neuroimaging measures overall. Of the 12, 9 showed significant main associations of the group; however, after post hoc analyses and Bonferroni corrections, only 7 showed statistically significant associations between groups (corrected P < .05 for all). Of the 7, 2 showed significant relationships with symptoms. Offspring of parents with BD had greater right rACC activity when regulating attention to happy faces vs OCP (mean [SD] difference, 0.744 [0.249]; 95% CI, 0.134-1.354; P = .01), which positively correlated with affective lability severity (ρ = 0.304; uncorrected P = .006). Offspring of parents with BD had greater amygdala to left cACC functional connectivity when regulating attention to fearful faces vs OCP (mean [SD] difference, 0.493 [0.169]; 95% CI, 0.079-0.908; P = .01). Increases in this measure positively correlated with increases in affective lability over follow-up (r = 0.541; P = .003). Conclusions and Relevance: Greater anterior cingulate cortex activity and functional connectivity during emotion regulation tasks may be specific markers of BD risk. These findings highlight potential neural targets to aid earlier identification of and guide new treatment developments for BD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.539

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.245
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it