Evidence map›Paper›PMID 39359697›Full record

ArticleNeuro-oncology advances

Neuroanatomical profiles of cognitive phenotypes in patients with primary brain tumors.

Jiwandeep S Kohli, Anny Reyes, Austin Hopper, Alena Stasenko, Natalia Menendez, Kathryn R Tringale, Mia Salans, Roshan Karunamuni, Jona A Hattangadi-Gluth, Carrie R McDonald

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Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

10 authors.

Jiwandeep S KohliDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.ORCID https://orcid.org/0000-0002-1704-155X
Anny ReyesDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
Austin HopperDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
Alena StasenkoDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.
Natalia MenendezDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
Kathryn R TringaleDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
Mia SalansDepartment of Radiation Oncology, University of California San Francisco, San Francisco, California, USA.
Roshan KarunamuniDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
Jona A Hattangadi-GluthDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.ORCID https://orcid.org/0000-0001-8222-606X
Carrie R McDonaldDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.

Funding

FELLOWSHIP IN GERIATRIC MENTAL HEALTHT32MH019934 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Elizabeth W Twamley · 1994 to 2026
$9.5M
Fellowship on Biological Psychiatry and NeuroscienceT32MH018399 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Pei-an (Betty) Shih · 1986 to 2026
$7.3M
Mechanisms of Radiation-Induced Neurocognitive Decline (MIND): Longitudinal Study of Imaging Biomarkers and Risk and Resilience Factors Underlying Cognitive Phenotypes in Patients with GliomaR01CA289833 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jona A Hattangadi-Gluth, CARRIE R MCDONALD · 2025 to 2026
$1.3M
Image-Guided Cognitive-Sparing Radiosurgery for Brain Metastases: Avoidance of Eloquent White Matter and Hippocampal RegionsR01CA238783 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HATTANGADI-GLUTH, JONA A · 2019 to 2021
$737k
NCI NIH HHS R01 CA238783NCI NIH HHS R01 CA289833NIMH NIH HHS T32 MH018399NIMH NIH HHS T32 MH019934
6 · The paper itself

Abstract

Background: Patients with brain tumors demonstrate heterogeneous patterns of cognitive impairment, likely related to multifactorial etiologies and variable tumor-specific factors. Cognitive phenotyping offers a patient-centered approach to parsing heterogeneity by classifying individuals based on patterns of impairment. The aim of this study was to investigate the neuroanatomical patterns associated with each phenotype to gain a better understanding of the mechanisms underlying impairments. Methods: Patients with primary brain tumors were recruited for a prospective, observational study. Patients were cognitively phenotyped using latent profile analysis in a prior study, revealing 3 distinct groups: Results: Neurocognitive, structural MRI, and diffusion MRI data were available for 82 participants at baseline. Compared to the minimal impairment group, the generalized impairment group showed a widespread, bi-hemispheric pattern of decreased CT ( Conclusions: Cognitive phenotypes in patients with brain tumors showed unique patterns of brain pathology, suggesting different underlying mechanisms of their impairment profiles. These distinct patterns highlight the biological relevance of our phenotyping approach and help to identify areas of structural and microstructural vulnerability that could inform treatment decisions.

Indexed as

cognitive phenotypescortical thicknessdiffusion tensor imagingneurocognitionneuroimaging

Identifiers

PMID39359697
PMCPMC11445899

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.