Evidence map›Paper›PMID 30712295›Full record

ReviewNeuropsychopharmacology reports2019

Application of eye trackers for understanding mental disorders: Cases for schizophrenia and autism spectrum disorder.

Emiko Shishido, Shiori Ogawa, Seiko Miyata, Maeri Yamamoto, Toshiya Inada, Norio Ozaki

Open access · goldAbstract readReview
In one paragraph

Review in Neuropsychopharmacology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

  1. Artificial Intelligence-Based Depression Detection.Sensors (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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

6 authors at 2 institutions in 1 country.

Emiko ShishidoDepartment of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0002-2474-1343
Shiori OgawaDepartment of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Seiko MiyataDepartment of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Maeri YamamotoDepartment of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Toshiya InadaDepartment of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Norio OzakiDepartment of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Nagoya University · JPNational Institute for Physiological Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies of eye movement have become an essential tool of basic neuroscience research. Measures of eye movement have been applied to higher brain functions such as cognition, social behavior, and higher-level decision-making. With the development of eye trackers, a growing body of research has described eye movements in relation to mental disorders, reporting that the basic oculomotor properties of patients with mental disorders differ from those of healthy controls. Using discrimination analysis, several independent research groups have used eye movements to differentiate patients with schizophrenia from a mixed population of patients and controls. Recently, in addition to traditional oculomotor measures, several new techniques have been applied to measure and analyze eye movement data. One research group investigated eye movements in relation to the risk of autism spectrum disorder several years prior to the emergence of verbal-behavioral abnormalities. Research on eye movement in humans in social communication is therefore considered important, but has not been well explored. Since eye movement patterns vary between patients with mental disorders and healthy controls, it is necessary to collect a large amount of eye movement data from various populations and age groups. The application of eye trackers in the clinical setting could contribute to the early treatment of mental disorders.

Indexed as

Eye MovementsNeuropsychological TestsAutism Spectrum DisorderHumansSchizophreniaautism spectrum disorderendophenotypeseye movementsnonverbal communicationschizophrenia

Identifiers

PMID30712295
PMCPMC7292297
OpenAlexW2911459581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.