Differential diagnosis of frontotemporal dementia subtypes with explainable deep learning on structural MRI.

Authors:
Ma D; Stocks J; Rosen H; Kantarci K; Lockhart SN and 7 more

Journal:
Front Neurosci

Publication Year: 2024

DOI:
10.3389/fnins.2024.1331677

PMCID:
PMC10879283

PMID:
38384484

Journal Information

Full Title: Front Neurosci

Abbreviation: Front Neurosci

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Neurosciences

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision."

Evidence found in paper:

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. DM, SL, JB, and SC are funded by Wake Forest University School of Medicine Alzheimer’s Disease Research Center (P30AG072947). DM received partial funding from Wake Forest Center for Biomedical Informatics Pilot Award. JS is funded by National Institutes of Health T32 Mechanisms of Aging and Dementia Training Program, grant number: 5T32AG020506–02. LW received funding from R01 AG055121, R56 AG055121."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025