Evidence map›Paper›PMID 40574978›Full record

ArticleBrain communications2025

Distinct clinical phenotypes and their neuroanatomic correlates in chronic traumatic brain injury.

Raj G Kumar, Enna Selmanovic, Natalie Gilmore, Lisa Spielman, Lucia M Li, Jeanne M Hoffman, Yelena G Bodien, Samuel B Snider, Holly J Freeman, Nicola L de Souza and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Raj G KumarDepartment of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Enna SelmanovicDepartment of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Natalie GilmoreDepartment of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Lisa SpielmanDepartment of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Lucia M LiDepartment of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Jeanne M HoffmanDepartment of Rehabilitation Medicine, University of Washington School of Medicine, Seattle, WA 98104, USA.
Yelena G BodienDepartment of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Samuel B SniderDepartment of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Holly J FreemanDepartment of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Nicola L de SouzaDepartment of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Christine L Mac DonaldDepartment of Neurological Surgery, University of Washington, Seattle, WA 98104, USA.
Brian L EdlowDepartment of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.ORCID https://orcid.org/0000-0001-7235-8456
Kristen Dams-O'ConnorDepartment of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

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
Neuropathology of CTE and Delayed Effects of TBI: Toward In-Vivo DiagnosticsU01NS086625 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DAMS-O'CONNOR, KRISTEN · 2014 to 2017
$6.1M
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)RF1NS128961 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DAMS-O'CONNOR, KRISTEN · 2022 to 2022
$5.0M
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
Validating an Administrative Claims Based Case Definition for Traumatic Brain InjuryR00HD106060 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KUMAR, RAJ GOPALAN · 2023 to 2025
$745k
Predicting Dependency after Traumatic Brain InjuryK23NS136767 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI Samuel Snider · 2024 to 2026
$685k
Leveraging existing data resources to characterize health and clinical care among older adults with traumatic brain injuryK99HD106060 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KUMAR, RAJ GOPALAN · 2021 to 2022
$260k
NICHD NIH HHS DP2 HD101400NICHD NIH HHS K99 HD106060NICHD NIH HHS R00 HD106060NINDS NIH HHS K23 NS136767NINDS NIH HHS R01 NS128961NINDS NIH HHS RF1 NS115268NINDS NIH HHS RF1 NS128961NINDS NIH HHS U01 NS086625
6 · The paper itself

Abstract

Accumulating evidence of heterogeneous long-term outcomes after traumatic brain injury (TBI) has challenged longstanding approaches to TBI outcome classification that are largely based on global functioning. A lack of studies with clinical and biomarker data from individuals living with chronic (>1 year post-injury) TBI has precluded refinement of long-term outcome classification ontology. Multimodal data in well-characterized TBI cohorts are required to understand the clinical phenotypes and biological underpinnings of persistent symptoms in the chronic phase of TBI. The present cross-sectional study leveraged data from 281 participants with chronic complicated mild-to-severe TBI in the Late Effects of Traumatic Brain Injury Study. Our primary objective was to develop and validate clinical phenotypes using data from 41 TBI measures spanning a comprehensive cognitive battery, motor testing and assessments of mood, health and functioning. We performed a 70/30% split of training (

Indexed as

machine learningneuroimagingphenotypingtraumatic brain injury

Identifiers

PMID40574978
PMCPMC12198765

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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.