Brain Structural Mri | List of Frontiers open access articles

Original Research

Published on 16 Jul 2025

Brain structural MRI marker for predicting conversion to Parkinson’s disease in individuals with prodromal symptoms

in Parkinson’s Disease and Aging-related Movement Disorders

Chang-hyun Park
Uicheul Yoon
Phil Hyu Lee
Jinna Kim
Seung-Koo Lee
Na-Young Shin

Frontiers in Aging Neuroscience

doi 10.3389/fnagi.2025.1579326

2,070 views

Original Research

Published on 23 Apr 2018

Distinguishing Adolescents With Conduct Disorder From Typically Developing Youngsters Based on Pattern Classification of Brain Structural MRI

in Brain Imaging and Stimulation

Jianing Zhang
Weixiang Liu
Jing Zhang
Qiong Wu
Yidian Gao
Yali Jiang
Junling Gao
Shuqiao Yao
Bingsheng Huang

Frontiers in Human Neuroscience

doi 10.3389/fnhum.2018.00152

8,846 views
31 citations

Original Research

Published on 02 Aug 2019

Infant Brain Structural MRI Analysis in the Context of Thoracic Non-cardiac Surgery and Critical Care

in Pediatric Neurology

Chandler R. L. Mongerson
Sophie L. Wilcox
Stacy M. Goins
Danielle B. Pier
David Zurakowski
Russell W. Jennings
Dusica Bajic

Frontiers in Pediatrics

doi 10.3389/fped.2019.00315

5,384 views
22 citations

Review

Published on 19 Jan 2017

Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging

David Alexander Dickie
Susan D. Shenkin
Devasuda Anblagan
Juyoung Lee
Manuel Blesa Cabez
David Rodriguez
James P. Boardman
Adam Waldman
Dominic E. Job
Joanna M. Wardlaw

Frontiers in Neuroinformatics

doi 10.3389/fninf.2017.00001

27,721 views
110 citations

Original Research

Published on 26 Apr 2022

Alzheimer's Disease Diagnosis With Brain Structural MRI Using Multiview-Slice Attention and 3D Convolution Neural Network

in Alzheimer's Disease and Related Dementias

Lin Chen
Hezhe Qiao
Fan Zhu

Frontiers in Aging Neuroscience

doi 10.3389/fnagi.2022.871706

9,326 views
68 citations

Original Research

Published on 28 Jun 2022

Individual Brain Morphological Connectome Indicator Based on Jensen–Shannon Divergence Similarity Estimation for Autism Spectrum Disorder Identification

in Brain Imaging Methods

Ting Yi
Weian Wei
Di Ma
Yali Wu
Qifang Cai
Ke Jin
Xin Gao

Frontiers in Neuroscience

doi 10.3389/fnins.2022.952067

3,514 views
10 citations

Technology Report

Published on 02 Dec 2016

Influence of Group on Individual Subject Maps in SPM Voxel Based Morphometry

in Brain Imaging Methods

Andrew M. Michael
Eli Evans
Gregory J. Moore

Frontiers in Neuroscience

doi 10.3389/fnins.2016.00522

6,675 views
12 citations

Original Research

Published on 26 Feb 2021

Multiscale Dynamics of Blood Pressure Fluctuation Is Associated With White Matter Lesion Burden in Older Adults With and Without Hypertension: Observations From a Pilot Study

in Hypertension

Xin Jiang
Yi Guo
Yue Zhao
Xia Gao
Dan Peng
Hui Zhang
Wuhong Deng
Wen Fu
Na Qin
Ruizhen Chang

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2021.636702

3,446 views
8 citations

Original Research

Published on 26 Oct 2021

Clinical, Neurophysiological, and MRI Markers of Fampridine Responsiveness in Multiple Sclerosis—An Explorative Study

in Multiple Sclerosis and Neuroimmunology

Sepehr Mamoei
Henrik Boye Jensen
Andreas Kristian Pedersen
Mikkel Karl Emil Nygaard
Simon Fristed Eskildsen
Ulrik Dalgas
Egon Stenager

Frontiers in Neurology

doi 10.3389/fneur.2021.758710

5,070 views
4 citations

Original Research

Published on 02 Jul 2024

Comparison of deep learning architectures for predicting amyloid positivity in Alzheimer’s disease, mild cognitive impairment, and healthy aging, from T1-weighted brain structural MRI

in Brain Imaging Methods

Tamoghna Chattopadhyay
Saket S. Ozarkar
Ketaki Buwa
Neha Ann Joshy
Dheeraj Komandur
Jayati Naik
Sophia I. Thomopoulos
Greg Ver Steeg
Jose Luis Ambite
Paul M. Thompson

Frontiers in Neuroscience

doi 10.3389/fnins.2024.1387196

8,804 views
14 citations

Original Research

Published on 13 Apr 2022

Machine Learning Models for Diagnosis of Parkinson’s Disease Using Multiple Structural Magnetic Resonance Imaging Features

in Parkinson’s Disease and Aging-related Movement Disorders

Yang Ya
Lirong Ji
Yujing Jia
Nan Zou
Zhen Jiang
Hongkun Yin
Chengjie Mao
Weifeng Luo
Erlei Wang
Guohua Fan

Frontiers in Aging Neuroscience

doi 10.3389/fnagi.2022.808520

9,893 views
24 citations

Articles

Brain structural MRI marker for predicting conversion to Parkinson’s disease in individuals with prodromal symptoms

Distinguishing Adolescents With Conduct Disorder From Typically Developing Youngsters Based on Pattern Classification of Brain Structural MRI

Infant Brain Structural MRI Analysis in the Context of Thoracic Non-cardiac Surgery and Critical Care

Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging

Alzheimer's Disease Diagnosis With Brain Structural MRI Using Multiview-Slice Attention and 3D Convolution Neural Network

Individual Brain Morphological Connectome Indicator Based on Jensen–Shannon Divergence Similarity Estimation for Autism Spectrum Disorder Identification

Influence of Group on Individual Subject Maps in SPM Voxel Based Morphometry

Multiscale Dynamics of Blood Pressure Fluctuation Is Associated With White Matter Lesion Burden in Older Adults With and Without Hypertension: Observations From a Pilot Study

Clinical, Neurophysiological, and MRI Markers of Fampridine Responsiveness in Multiple Sclerosis—An Explorative Study

Comparison of deep learning architectures for predicting amyloid positivity in Alzheimer’s disease, mild cognitive impairment, and healthy aging, from T1-weighted brain structural MRI

Machine Learning Models for Diagnosis of Parkinson’s Disease Using Multiple Structural Magnetic Resonance Imaging Features