Evidence map›Paper›PMID 30047478›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2018

The Startle-Evoked Potential: Negative Affect and Severity of Pathology in Anxiety/Mood Disorders.

Peter J Lang, David R Herring, Charlesynquette Duncan, Jan Richter, Christopher T Sege, Mathias Weymar, Anke Limberg-Thiesen, Alfons O Hamm, Margaret M Bradley

Abstract readMulticenter Study
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. End-Tidal COApplied psychophysiology and biofeedback · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. RDoC at 10: changing the discourse for psychopathology.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2020
    Article
  8. Article
  9. Article
  10. 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

9 authors.

Peter J LangCenter for the Study of Emotion and Attention, University of Florida, Gainesville, Florida. Electronic address: langp@phhp.ufl.edu.
David R HerringCenter for the Study of Emotion and Attention, University of Florida, Gainesville, Florida.
Charlesynquette DuncanCenter for the Study of Emotion and Attention, University of Florida, Gainesville, Florida.
Jan RichterDepartment of Biological and Clinical Psychology, University of Greifswald, Greifswald, Germany.
Christopher T SegeCenter for the Study of Emotion and Attention, University of Florida, Gainesville, Florida.
Mathias WeymarDepartment of Biological and Clinical Psychology, University of Greifswald, Greifswald, Germany.
Anke Limberg-ThiesenDepartment of Biological and Clinical Psychology, University of Greifswald, Greifswald, Germany.
Alfons O HammDepartment of Biological and Clinical Psychology, University of Greifswald, Greifswald, Germany.
Margaret M BradleyCenter for the Study of Emotion and Attention, University of Florida, Gainesville, Florida.

Funding

Anxiety, comorbidity, negative affect, and fear circuit activationR01MH094386 · NIMH · UNIVERSITY OF FLORIDA · PI LANG, PETER J · 2012 to 2017
$1.8M
From Fear to Anxious Misery: Developing a Defense Circuit Dimensional ClassifierR01MH098078 · NIMH · UNIVERSITY OF FLORIDA · PI LANG, PETER J · 2012 to 2015
$1.7M
NIMH NIH HHS R01 MH094386NIMH NIH HHS R01 MH098078
6 · The paper itself

Abstract

backgroundThe National Institute of Mental Health Research Domain Criteria initiative encourages a search for dimensional biological measures of psychopathology unconstrained by current diagnostic categories. Consistent with this aim, the presented research studies a large sample of anxiety and mood disorder patients, assessing differences in principal diagnoses and comorbidity patterns, clinicians' ratings, and questionnaire measures of negative affect and life dysfunction as they relate to a potential brain marker of pathology: the amplitude of the event-related potential (ERP) elicited by a startle-evoking stimulus.

methodsPatients seeking evaluation or treatment for anxiety and mood disorders (N = 208) participated in two tasks at the University of Florida (Gainesville, FL): 1) imagining emotional and neutral events and 2) viewing emotional and neutral pictures while acoustic startle probes were presented and the ERP was recorded. For a comparison patient group (N = 120), startle probes were administered and ERPs recorded at the University of Greifswald (Greifswald, Germany) while performing the same imagery task.

resultsReduced positive amplitude of a centroparietal startle-evoked ERP (156-352 ms after onset) significantly predicted higher questionnaire scores of anxiety/depression, reports of increased life dysfunction, greater comorbidity, and clinician ratings of heightened severity and poorer prognosis. The effect was general across principal diagnoses, found for both the Florida and German samples, and consistent in pattern despite differences in the tasks administered.

conclusionsThe startle-evoked ERP reliably predicts severity and breadth of psychopathology, independent of task context. It is a potential significant contributor to a needed array of biological measures that might improve classification of anxiety and mood disorders.

Indexed as

Severity of Illness IndexAdultAnxiety DisordersAuditory PerceptionCerebral CortexElectroencephalographyEvoked PotentialsFemaleHumansMaleMood DisordersPattern Recognition, VisualReflex, StartleAnxiety disordersComorbidityERPMood disordersRDoCStartle reflex

Identifiers

PMID30047478
PMCPMC6063515

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.