Evidence map›Paper›PMID 42645026›Full record

SynthesisBiosensors2026

Cortical Region Reporting Patterns in Neurodevelopmental Disorders: A Systematic Review of fNIRS Studies.

Umm E Habiba, Nida Mateen, Keum-Shik Hong, Chang-Seok Kim, Jing Meng, Hwidon Lee, Jeesu Kim

Abstract readSystematic ReviewReview
In one paragraph

Synthesis in Biosensors, 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

7 authors.

Umm E HabibaDepartment of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Republic of Korea.
Nida MateenDepartment of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Republic of Korea.ORCID 0009-0000-7226-0862
Keum-Shik HongInstitute for Future, School of Automation, Qingdao University, Qingdao 266071, China.ORCID 0000-0002-8528-4457
Chang-Seok KimDepartment of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Republic of Korea.ORCID 0000-0002-2811-8137
Jing MengSchool of Computer Science, Qufu Normal University, Rizhao 276826, China.
Hwidon LeeDepartment of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Republic of Korea.ORCID 0000-0002-6819-0715
Jeesu KimDepartment of Cogno-Mechatronics Engineering, Pusan National University, Busan 46241, Republic of Korea.ORCID 0000-0002-2542-0234

Funding

Commercialization Promotion Agency RS-2026-25530459National Research Foundation of Korea RS-2021-NR060086, RS-2026-25472578
6 · The paper itself

Abstract

Functional near-infrared spectroscopy (fNIRS) is a portable, non-invasive tool for studying cortical function in children with neurodevelopmental and neurological disorders. Although fNIRS use is increasing, heterogeneous study paradigms and cortical targets have limited cross-condition comparisons and the identification of shared research priorities. This systematic review maps cortical regions and reporting patterns in five key conditions-autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), cerebral palsy (CP), hypoxic-ischemic encephalopathy (HIE), and epilepsy (Ep)-from January 2015 to December 2025. A systematic search across five databases identified 72 relevant studies meeting PRISMA 2020 criteria, revealing both similarities and differences across disorders. The prefrontal cortex (PFC) was studied in all five conditions (5/5: 100%), making it the most consistently investigated cortical region. The parietal and temporal cortices were studied in 4 of 5 conditions (80%). The frontal cortex had the most regions investigated, while the temporal cortex showed the most consistent coverage across conditions (2.25 conditions per region). Beyond regional preferences, condition-specific patterns were aligned with their disorder phenotypes: social brain networks in ASD, prefrontal executive systems in ADHD, sensorimotor changes in CP, cerebrovascular monitoring in HIE, and state-dependent changes in Ep. Across conditions, researchers found altered prefrontal activity, disrupted connectivity, and compensatory brain responses, supporting broader frameworks. Collectively, these findings identify the PFC as a shared target for transdiagnostic fNIRS investigations while highlighting important gaps in regional coverage and methodological consistency. Despite methodological differences, fNIRS shows promise for identifying both shared and unique brain patterns in pediatric neurodevelopmental and neurological disorders. This review provides a framework for prioritizing cortical targets and guiding future standardized fNIRS research in pediatric populations.

Indexed as

Neurodevelopmental DisordersAttention Deficit Disorder with HyperactivityHumansSpectroscopy, Near-Infraredfunctional near-infrared spectroscopy (fNIRS)neurodevelopmental disordersneuroimagingprefrontal cortex

Identifiers

PMID42645026
PMCPMC13511062

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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.