Evidence map›Paper›PMID 42727239›Full record

ArticleNeuroImage. Clinical2026

Functional brain connectivity in clinical high-risk youth from the Kenya psychosis-risk outcomes study (KePROS): functional network comparative area and topography analysis (FUNCATA).

Daniel Mamah, ShingShiun Chen, Michael P Harms, Victoria Mutiso, Fanghong Dong, Christine Musyimi, Mark Curtis, David M Ndetei

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 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

8 authors.

Daniel MamahDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA. Electronic address: mamahd@wustl.edu.
ShingShiun ChenDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Michael P HarmsDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Victoria MutisoAfrica Institute of Mental and Brain Health, Nairobi, Kenya.
Fanghong DongDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Christine MusyimiAfrica Institute of Mental and Brain Health, Nairobi, Kenya.
Mark CurtisDepartment of Psychological & Brain Sciences, Washington University School of Medicine, St. Louis, MO, USA.
David M NdeteiAfrica Institute of Mental and Brain Health, Nairobi, Kenya; Department of Psychiatry, University of Nairobi, Nairobi, Kenya.

Funding

Clinical and Biomarker-Based Trajectories of Psychosis-Risk Populations in KenyaR01MH127571 · NIMH · WASHINGTON UNIVERSITY · PI MAMAH, DANIEL · 2021 to 2025
$3.3M
NIMH NIH HHS R01 MH127571
6 · The paper itself

Abstract

The clinical high-risk (CHR) state identifies individuals at elevated risk for psychosis, yet neurobiological markers of vulnerability remain incompletely characterized, particularly in African populations. Functional Network Area and Topography Analysis (FUNCATA) quantifies individualized network size and spatial organization, addressing limitations of group-average parcellations. Prior studies in schizophrenia identified dorsal attention network (DAN) enlargement and topographic abnormalities. We applied FUNCATA to a Kenyan CHR cohort to examine whether similar alterations are detectable. Twenty-four healthy controls and 63 CHR participants (ages 18-26) underwent resting-state fMRI in Nairobi. Individualized functional networks were derived using template matching. Network size and Topographic Abnormality Index (TAI) were compared between groups using ANCOVA. Associations with symptom dimensions (BPRS-derived principal components), global functioning, cognition, and longitudinal symptom trajectories were examined. CHR participants demonstrated modest left-lateralized DAN enlargement (d = 0.61) and reduced salience network (SAL) size (d = 0.50). More robust effects emerged for TAI, with significantly elevated spatial abnormalities across multiple networks, most prominently the DAN (d = 1.18), default mode network (d = 0.91) and cingulo-opercular network (d = 0.80). Larger left DAN size was associated with longitudinal worsening of general psychopathology, while SAL size was associated with unusual thought processing and role functioning. TAI measures showed limited associations with clinical outcomes after correction. These results suggest that functional network enlargement and spatial reorganization are detectable in CHR individuals within a non-Western cohort. DAN enlargement and widespread topographic abnormalities may represent early neurobiological features of psychosis vulnerability. TAI appears particularly sensitive to spatial deviations and may serve as a promising biomarker for risk stratification and longitudinal monitoring.

Indexed as

Clinical high riskDorsal attention networkFUNCATAFunctional connectivityFunctional networkPsychosisTopography

Identifiers

PMID42727239
PMCPMC13587632

What Socratic holds

Textmetadata
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 Socratic graph.