Evidence map›Paper›PMID 41798779›Full record

ArticleJournal of the Royal Society of New Zealand2026

Hope for Neurotic Disorders: A Summary of New Zealand Research on the Development of Biomarkers and Novel Treatments.

Neil McNaughton, Shabah M Shadli, B Beaglehole, Paul Glue

Abstract read
In one paragraph

Article in Journal of the Royal Society of New Zealand, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Neil McNaughtonDepartment Psychology, School of Pharmacy University of Otago Dunedin New Zealand.ORCID https://orcid.org/0000-0003-4348-8221
Shabah M ShadliDepartment Psychology, School of Pharmacy University of Otago Dunedin New Zealand.ORCID https://orcid.org/0000-0002-3607-3469
B BeagleholeDepartment Psychological Medicine University of Otago Christchurch New Zealand.ORCID https://orcid.org/0000-0002-9521-1745
Paul GlueDepartment Psychological Medicine University of Otago Dunedin New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neurotic disorders (e.g., depression, dysthymia, generalized anxiety disorder, panic disorder, agoraphobia, social anxiety, post-traumatic stress disorder, and obsessive-compulsive disorder) are costly and difficult to treat. Diagnosis is based on symptoms not biological causes. Here, we summarize New Zealand-based work developing EEG biomarkers and novel treatments. Working at the University of Otago, we have developed an anxiety disorder biomarker and shown its potential to detect anxiety resistant to conventional treatments. Others have started similar work on depression biomarkers. We have also found that ketamine is a novel treatment for treatment-resistant neurotic disorders in general and have provided a "double hit" hypothesis of the mechanisms involved. Muthukumaraswamy and coworkers at the University of Auckland and elsewhere have obtained similar results with ketamine, LSD, and psilocybin, and we, along with them, have demonstrated treatment-related effects on EEG. These linked developments, potentially supplemented with psychotherapy, should open the way to quicker acting, broad ranging, effective treatment of neurotic disorders. With the our recent more purely practical development of oral tablet delivery, which will allow home dosing, the future for the treatment of neurotic disorders looks bright.

Indexed as

anxietyanxiety biomarkerdepressionEEGketaminetreatment resistance

Identifiers

PMID41798779
PMCPMC12962333

What OpenQuestion holds

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Registered trials

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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.