Evidence map›Paper›PMID 40832426›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Emotional Processing After Severe Traumatic Brain Injury: Insights from Functional MRI and Pupillometry.

Karnig Kazazian, Stefanie O Zhang, Jack de Jeu, Phoebe K Lawrence, William R Sanders, Anogue Meydan, Fion Bremner, Emma-Jane Mallas, Yelena G Bodien, Kristen Dams-O'Connor and 2 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

5 · Who and what money

Authors and funding

12 authors.

Karnig KazazianWestern Institute for Neuroscience, Western University, London, Canada.ORCID 0000-0001-6157-601X
Stefanie O ZhangDepartment of Brain Sciences, Imperial College London, London, UK.
Jack de JeuWestern Institute for Neuroscience, Western University, London, Canada.
Phoebe K LawrenceCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
William R SandersCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Anogue MeydanCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Fion BremnerUniversity College London Hospitals NHS Foundation Trust, London, UK.
Emma-Jane MallasDepartment of Brain Sciences, Imperial College London, London, UK.ORCID 0000-0002-4050-0208
Yelena G BodienCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Kristen Dams-O'ConnorDepartment of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Brian L EdlowCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-7235-8456
Lucia M LiDepartment of Brain Sciences, Imperial College London, London, UK.

Funding

The Late Effects of TBI (LETBI) Study: Injury Patterns and Biological Markers of Post-Traumatic NeurodegenerationRF1NS115268 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Kristen Dams-O'Connor · 2019 to 2026
$10.3M
Clinical & biological signatures of post-traumatic neurodegeneration: Leveraging the TBI Model Systems of Care to accelerate in vivo diagnosis of the late effects of TBI (LETBI)R01NS128961 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Kristen Dams-O'Connor · 2025 to 2026
$3.3M
A Connectome-Based Clinical Trial Platform to Promote Early Recovery of Consciousness after Traumatic ComaDP2HD101400 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI EDLOW, BRIAN L. · 2019 to 2019
$2.5M
NICHD NIH HHS DP2 HD101400NINDS NIH HHS R01 NS128961NINDS NIH HHS RF1 NS115268
6 · The paper itself

Abstract

Objective: Emotional dysfunction is a common consequence of severe traumatic brain injury (TBI), yet the mechanisms underlying these symptoms remain poorly understood. This study investigated whether brain network and autonomic mechanisms involved in emotional processing are abnormal in TBI. Methods: We conducted a cross-sectional study of chronic severe TBI (n=26) and healthy control participants (n=15). We analysed functional MRI (fMRI) data to assess brain processing of emotionally salient music (joyful and fearful stimuli; n=15 TBI, n=15 controls), and resting-state fMRI (rsfMRI) to measure the functional connectivity of relevant intrinsic brain networks (limbic, salience, and default mode networks; n=16 TBI, n=15 controls). We additionally measured the pupillary light reflect (PLR) to assess parasympathetic and sympathetic function (n=14 TBI, n=11 controls). Results: Individuals with severe TBI did not demonstrate the left insula activation elicited by joyful versus fearful musical stimuli seen in healthy controls. rsfMRI revealed decreased connectivity between the salience network, caudate and hippocampus in severe TBI compared to controls. Exploratory analyses identified reduced connectivity between default mode (bilateral medial prefrontal cortex) and limbic (bilateral amygdala) nodes in TBI compared to controls. PLR measurements revealed blunted dark-adaptation responses in individuals with severe TBI compared to controls (F(1,24)=27.4, p<0.001). Interpretation: Individuals with chronic severe TBI show reduced insula activation during emotional stimuli processing, resting connectivity abnormalities in salience, limbic and default mode networks, and evidence of sympathetic dysfunction. Brain network and autonomic alterations may be potential neural mechanisms of post-TBI emotional dysregulation.

Identifiers

PMID40832426
PMCPMC12363739

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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.