Evidence map›Paper›PMID 42359244›Full record

ReviewAnnals of neurosciences2026

Resting State Networks and Their Associations with Cognitive Functions in Traumatic Brain Injury: An Integrative Review.

Madhumathi P C, Visvanathan Krishnaswamy, Rajeswaran Rangasami, Rimjhim Agrawal, Vijayalakshmi Purushothaman, Varadharajan Sivaraman

Abstract readReview
In one paragraph

Review in Annals of neurosciences, 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

6 authors.

Madhumathi P CFaculty of Behavioural and Social Sciences, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0009-0002-5328-5989
Visvanathan KrishnaswamyDepartment of Neurosurgery, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-7196-2851
Rajeswaran RangasamiDepartment of Radiology and Imaging Sciences, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0001-7618-1598
Rimjhim AgrawalBrainSight Technology Pvt. Ltd., Bengaluru, Karnataka, India.
Vijayalakshmi PurushothamanFaculty of Behavioural and Social Sciences, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0003-4173-2956
Varadharajan SivaramanFaculty of Behavioural and Social Sciences, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-8742-5639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traumatic brain injury (TBI) is a significant global health concern resulting in persistent physical, cognitive, and social impairments that affect daily functioning and quality of life. Resting-state functional magnetic resonance imaging (rs-fMRI) has emerged as a valuable neuroimaging modality offering novel insights into brain function at rest. Summary: This integrative review synthesised evidence from studies indexed in PubMed, ScienceDirect, and Scopus on resting-state network (RSN) alterations and their association with cognitive dysfunction in TBI. Consistent alterations in functional connectivity were identified across multiple RSNs in TBI population, particularly within the default mode network (DMN), frontoparietal network (FPN), and salience network. DMN connectivity showed strong associations with attention, processing speed, and memory. FPN connectivity changes corresponded with executive function deficits, while sensorimotor network disruptions were linked to attentional impairments. Dynamic longitudinal changes in network connectivity further suggested underlying neuroplasticity mechanisms. Key Message: Resting-state functional connectivity demonstrates as a potential sensitive biomarker for TBI diagnosis, prognosis, and rehabilitation monitoring. With implications for individualised rehabilitation, these findings highlight the need for a network oriented approach for understanding, diagnosing, and treating TBI. Future research should explore longitudinal changes in RSN connectivity and their implications for neuro-rehabilitation strategies.

Indexed as

cognitive functionsfunctional neuroimagingresting state networksTraumatic brain injury

Identifiers

PMID42359244
PMCPMC13290743

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.