Evidence map›Paper›PMID 41696913›Full record

ArticleBipolar disorders2026

A High-Accuracy and Easy-Use Differential Diagnosis Method of Bipolar Disorder Depressive Phase and Major Depressive Disorder Using a Wearable Near-Infrared Spectroscopy.

Yuji Sasaki, Koichi Ishizu, Akitoshi Seiyama, Naozo Sugimoto

Erratum issuedAbstract read
In one paragraph

Article in Bipolar disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yuji SasakiHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Koichi IshizuHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0003-1121-5544
Akitoshi SeiyamaCreative Design & Data Science Center, Akita International University, Akita, Japan.
Naozo SugimotoHuman Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAlthough conventional multichannel near-infrared spectroscopy (cNIRS) has been reported to be useful in differentiating bipolar disorder depressive phase (BDD) from major depressive disorder (MDD), its utilization in real clinical practice remains limited. The objective of this study was to evaluate the performance of wearable NIRS (wNIRS), which is cheaper to install and easier to use than cNIRS, in differentiating between BDD and MDD, and to propose an optimal index for wNIRS.

methodsThe subjects were 16 BDD patients, 16 MDD patients, and 16 healthy controls. Changes in the total hemoglobin signal (Δ[total-Hb]) in the bilateral frontal cortex during a 60 s verbal fluency task (VFT) were measured using the HOT-2000, a wNIRS capable of reducing noise from skin blood flow. In addition to evaluating the discriminative performance of the integral and centroid values proposed in previous studies, the ratio of the mean values of the Δ[total-Hb] during the first 20 s and subsequent 40 s (20-40 ratio) during the VFT was also employed and assessed.

resultsOnly the 20-40 ratio showed significant differences between BDD and MDD, whereas the integral and centroid values did not. Using a cut-off value of 2.00 for the 20-40 ratio, the sensitivity and specificity of the BDD diagnosis were 100% and 93.4%, respectively.

conclusionsThe wNIRS measurements and the 20-40 ratio of the Δ[total-Hb] in the forehead area enabled more accurate differentiation between MDD and BDD than the conventional analysis.

Indexed as

Bipolar DisorderMajor Depressive DisorderWearable Electronic DevicesAdultDiagnosis, DifferentialFemaleHemoglobinsHumansMaleMiddle AgedSpectroscopy, Near-InfraredHemoglobinsbipolar disorder depressive phasedifferential diagnosismajor depressive disordernear‐infrared spectroscopy (NIRS)total‐hemoglobinverbal fluency taskwearable

Identifiers

PMID41696913
PMCPMC12908433

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.