Evidence map›Paper›PMID 42327574›Full record

ReviewNeuroimage. Reports2026

The damaged connectome: Mechanisms and consequences of brain network reorganization following neurotrauma.

Moustafa A Mansour, M Wahid, Mohamed A S El Molla, Mohamed H Helmy, Taha Mohammed Adel, Hamdi Nabawi Mostafa, Mohamed Said Elsanafiry

Abstract readReview
In one paragraph

Review in Neuroimage. Reports, 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.

Moustafa A MansourDepartment of Neurosurgery, Nasser Institute for Research and Treatment, Cairo, Egypt.
M WahidDepartment of Neurosurgery, Faculty of Medicine, Misr University for Science and Technology, Giza, Egypt.
Mohamed A S El MollaDepartment of Neurosurgery, Faculty of Medicine, Misr University for Science and Technology, Giza, Egypt.
Mohamed H HelmyDepartment of Neurosurgery, Faculty of Medicine, Misr University for Science and Technology, Giza, Egypt.
Taha Mohammed AdelDepartment of Neurosurgery, Faculty of Medicine, Misr University for Science and Technology, Giza, Egypt.
Hamdi Nabawi MostafaDepartment of Neurosurgery, Nasser Institute for Research and Treatment, Cairo, Egypt.
Mohamed Said ElsanafiryDepartment of Neurosurgery, Faculty of Medicine, Menoufia University, Menoufia, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic brain injury (TBI) represents a major cause of chronic disability worldwide, with outcomes that are notoriously heterogeneous and difficult to predict. This heterogeneity stems from the fact that TBI is not merely a focal injury but a whole-brain network disorder. The brain's structural and functional organization-the connectome-is profoundly disrupted by traumatic forces. However, the post-injury period is not static; it is characterized by a dynamic, multi-stage process of reorganization that unfolds from hours to years. This review synthesizes current evidence on how neurotrauma dismantles brain networks and how the brain subsequently attempts to repair and reconfigure itself. We explore the cellular and systems-level mechanisms of neuroplasticity, the advanced neuroimaging techniques used to measure network changes, and the critical distinction between adaptive and maladaptive reorganization. Finally, we discuss the therapeutic implications of this network-oriented perspective, highlighting neuromodulation, cognitive rehabilitation, and pharmacological interventions as tools to guide recovery, and conclude by outlining key future directions for the field.

Identifiers

PMID42327574
PMCPMC13276338

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LicenceCC BY-NC-ND
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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.