Multi-modal neuroimaging feature fusion via 3D Convolutional Neural Network architecture for schizophrenia diagnosis

2021 ◽  
Vol 25 (3) ◽  
pp. 527-540
Author(s):  
Babak Masoudi ◽  
Sabalan Daneshvar ◽  
Seyed Naser Razavi
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Network Architecture ◽  
Feature Fusion ◽  
Diffusion Tensor ◽  
Functional Neuroimaging ◽  
Real Data ◽  
Resonance Imaging ◽  
Functional Changes ◽  
The Brain

Early and precise diagnosis of schizophrenia disorder (SZ) has an essential role in the quality of a patient’s life and future treatments. Structural and functional neuroimaging provides robust biomarkers for understanding the anatomical and functional changes associated with SZ. Each of the neuroimaging techniques shows only a different perspective on the functional or structural of the brain, while multi-modal fusion can reveal latent connections in the brain. In this paper, we propose an approach for the fusion of structural and functional brain data with a deep learning-based model to take advantage of data fusion and increase the accuracy of schizophrenia disorder diagnosis. The proposed method consists of an architecture of 3D convolutional neural networks (CNNs) that applied to magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and diffusion tensor imaging (DTI) extracted features. We use 3D MRI patches, fMRI spatial independent component analysis (ICA) map, and DTI fractional anisotropy (FA) as model inputs. Our method is validated on the COBRE dataset, and an average accuracy of 99.35% is obtained. The proposed method demonstrates promising classification performance and can be applied to real data.

scholarly journals Brain Functional Magnetic Resonance Imaging Highlights Altered Connections and Functional Networks in Patients With Hypertension

Hypertension ◽  
2020 ◽  
Vol 76 (5) ◽  
pp. 1480-1490 ◽  
Author(s):  
Lorenzo Carnevale ◽  
Angelo Maffei ◽  
Alessandro Landolfi ◽  
Giovanni Grillea ◽  
Daniela Carnevale ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Resting State ◽  
Diffusion Tensor ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Attention Network ◽  
Dorsal Attention Network ◽  
The Brain

Hypertension is one of the main risk factors for vascular dementia and Alzheimer disease. To predict the onset of these diseases, it is necessary to develop tools to detect the early effects of vascular risk factors on the brain. Resting-state functional magnetic resonance imaging can investigate how the brain modulates its resting activity and analyze how hypertension impacts cerebral function. Here, we used resting-state functional magnetic resonance imaging to explore brain functional-hemodynamic coupling across different regions and their connectivity in patients with hypertension, as compared to subjects with normotension. In addition, we leveraged multimodal imaging to identify the signature of hypertension injury on the brain. Our study included 37 subjects (18 normotensives and 19 hypertensives), characterized by microstructural integrity by diffusion tensor imaging and cognitive profile, who were subjected to resting-state functional magnetic resonance imaging analysis. We mapped brain functional connectivity networks and evaluated the connectivity differences among regions, identifying the altered connections in patients with hypertension compared with subjects with normotension in the (1) dorsal attention network and sensorimotor network; (2) dorsal attention network and visual network; (3) dorsal attention network and frontoparietal network. Then we tested how diffusion tensor imaging fractional anisotropy of superior longitudinal fasciculus correlates with the connections between dorsal attention network and default mode network and Montreal Cognitive Assessment scores with a widespread network of functional connections. Finally, based on our correlation analysis, we applied a feature selection to highlight those most relevant to describing brain injury in patients with hypertension. Our multimodal imaging data showed that hypertensive brains present a network of functional connectivity alterations that correlate with cognitive dysfunction and microstructural integrity. Registration— URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02310217.

scholarly journals Diffusion Tensor Magnetic Resonance Imaging of the Brain in APP Transgenic Mice: A Cohort Study

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e67630 ◽  
Author(s):  
Hans-Peter Müller ◽  
Jan Kassubek ◽  
Ina Vernikouskaya ◽  
Albert C. Ludolph ◽  
Detlef Stiller ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Cohort Study ◽  
Magnetic Resonance ◽  
Transgenic Mice ◽  
Diffusion Tensor ◽  
Resonance Imaging ◽  
The Brain

scholarly journals Current approaches to magnetic resonance imaging diagnosis of epileptogenic and associated lesions of the brain

2018 ◽  
Vol 10 (1S) ◽  
pp. 4-11
Author(s):  
E. M. Perepelova ◽  
V. A. Perepelov ◽  
M. S. Merkulova ◽  
V. E. Sinitsyn
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Brain Structure ◽  
Pulse Sequences ◽  
High Sensitivity ◽  
Resonance Imaging ◽  
Functional Changes ◽  
Associated Lesions ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain

With the development of current neuroimaging techniques, their role in diagnosing epilepsy is becoming more significant and that is not only in identifying the disease that plays a key role in  epileptogenesis, but also in assisting a clinician in the subsequent  formulation of the diagnosis, in correcting drug therapy, and, in  some cases, in addressing the issue of surgical treatment in the  patient. The priority technique in this case is magnetic resonance  imaging (MRI) that has high sensitivity and specificity in defining the  location of minor and more major lesions of the brain structure  and that includes a set of current sequences that can obtain  important diagnostic information about the functional state of the  brain. This article highlights the International League Against  Epilepsy guidelines for MRI in patients with suspected epilepsy,  assesses the use of and briefly characterizes both structural and  functional pulse sequences that are most commonly included in the  epileptological protocol. It considers major pathological processes  and evaluates anatomical and functional changes in the brain  structure, which play an important role in epileptogenesis.

Brain Imaging

2018 ◽  
Author(s):  
Jack M. Gorman
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Brain Imaging ◽  
Diffusion Tensor ◽  
Brain Structures ◽  
The Body ◽  
Resonance Spectroscopy ◽  
Resonance Imaging ◽  
Axial Tomography ◽  
The Brain

The blood–brain barrier vigorously limits what can get into and out of the brain, making our ability to understand brain function much more difficult than with any other organ in the body. The modern era of brain imaging began about a half-century ago with the introduction of computed axial tomography (CAT) and magnetic resonance imaging (MRI). Although CAT scanning shows brain structure in great detail and revolutionized the precision of medical diagnosis, including of brain disorders, it has had relatively little impact on psychiatry because most psychiatric illnesses do not involve visible abnormalities of the size, shape, or volume of brain structures. Similarly, although we have gained some insights from structural MRI, it primarily shows us the anatomy of the brain. Three other variants of MRI, however, have been extremely useful in studying psychiatric issues: functional magnetic resonance imaging, diffusion tensor imaging, and magnetic resonance spectroscopy.

Effects of early low-level lead exposure on human brain structure, organization and functions

2010 ◽  
Vol 2 (1) ◽  
pp. 17-24 ◽  
Author(s):  
K. M. Cecil
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Lead Exposure ◽  
Brain Structure ◽  
Diffusion Tensor ◽  
Adult Brain ◽  
Resonance Spectroscopy ◽  
Resonance Imaging ◽  
Environmental Lead ◽  
The Brain

Advanced neuroimaging techniques offer unique insights into how childhood lead exposure impacts the brain. Volumetric magnetic resonance imaging affords anatomical information about the size of global, regional and subcomponent structures within the brain. Diffusion tensor imaging provides information about white matter architecture by quantitatively describing how water molecules diffuse within it. Proton magnetic resonance spectroscopy generates quantitative measures of neuronal, axonal and glial elements via concentration levels of select metabolites. Functional magnetic resonance imaging infers neuronal activity associated with a given task performed. Employing these techniques in the study of the Cincinnati Lead Study, a relatively homogeneous birth cohort longitudinally monitored for over 30 years, one can non-invasively and quantitatively explore how childhood lead exposure is associated with adult brain structure, organization and function. These studies yield important findings how environmental lead exposure impacts human health.

scholarly journals A roadmap of brain recovery in a mouse model of concussion: insights from neuroimaging

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Xuan Vinh To ◽  
Fatima A. Nasrallah
Keyword(s):  
Magnetic Resonance Imaging ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Magnetic Resonance ◽  
Mouse Model ◽  
Diffusion Tensor ◽  
Cortical Activation ◽  
Resonance Imaging ◽  
Brain Recovery ◽  
The Brain

AbstractConcussion or mild traumatic brain injury is the most common form of traumatic brain injury with potentially long-term consequences. Current objective diagnosis and treatment options are limited to clinical assessment, cognitive rest, and symptom management, which raises the real danger of concussed patients being released back into activities where subsequent and cumulative injuries may cause disproportionate damages. This study conducted a cross-sectional multi-modal examination investigation of the temporal changes in behavioural and brain changes in a mouse model of concussion using magnetic resonance imaging. Sham and concussed mice were assessed at day 2, day 7, and day 14 post-sham or injury procedures following a single concussion event for motor deficits, psychological symptoms with open field assessment, T2-weighted structural imaging, diffusion tensor imaging (DTI), neurite orientation density dispersion imaging (NODDI), stimulus-evoked and resting-state functional magnetic resonance imaging (fMRI). Overall, a mismatch in the temporal onsets and durations of the behavioural symptoms and structural/functional changes in the brain was seen. Deficits in behaviour persisted until day 7 post-concussion but recovered at day 14 post-concussion. DTI and NODDI changes were most extensive at day 7 and persisted in some regions at day 14 post-concussion. A persistent increase in connectivity was seen at day 2 and day 14 on rsfMRI. Stimulus-invoked fMRI detected increased cortical activation at day 7 and 14 post-concussion. Our results demonstrate the capabilities of advanced MRI in detecting the effects of a single concussive impact in the brain, and highlight a mismatch in the onset and temporal evolution of behaviour, structure, and function after a concussion. These results have significant translational impact in developing methods for the detection of human concussion and the time course of brain recovery.

scholarly journals The Impact of Undiagnosed Synaesthesia on the Interpretation of Structural and Functional MRI Images Connectivity Maps and Resulting Diagnoses

2016 ◽  
Vol 15 (11) ◽  
pp. 7227-7234
Author(s):  
Nourhan Zayed
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Sensory Modality ◽  
Structural Connectivity ◽  
Brain Regions ◽  
Resonance Imaging ◽  
Functional Connections ◽  
The Impact ◽  
The Brain

Synathesia is a condition in which stimulation of a sensory modality triggers another sensation in the alike or an unalike sensory modality. Currently, synaesthesia is deemed a neurological condition that engages unwanted transfer of signals between brain regions from one sense to another “crosstalk activation”. The probability that undiagnosed synaesthesia may impact the results of structural magnetic resonance imaging (MRI), Diffusion Tensor imaging (DTI), functional magnetic resonance imaging (fMRI) and resting state connectivity studies is high, given the multiple anatomical and functional connections within the brain. In this paper, the currently available literature to mark which sensations adjured by synaesthesia and how could this impact MRI different modalities. Our study found that synaesthesia can have an opaque impact on fMRI studies of sensory, memory and cognitive functions, and there is testimony to suggest structural connections in the brain are also mutated DTI measurements especially, it shows enhanced structural connectivity for synesthetes between brain regions, higher Fractional anisotropy (FA), as well as increased in the white matter integrity between some regions.. Given the low dispersal of synaesthesia, the likelihood of synaesthesia being a perplexing factor in DTI, fMRI studies of patient groups is small; however, determining the existence of synaesthesia is paramount for investigating individual patients especially Shizoherenia, and autistic patients.

Self‐Fulfilling Prophecies: The Influence of Gender Stereotypes on Functional Neuroimaging Research on Emotion

Hypatia ◽  
2013 ◽  
Vol 28 (4) ◽  
pp. 870-886 ◽  
Author(s):  
Robyn Bluhm
Keyword(s):  
Magnetic Resonance Imaging ◽  
Gender Differences ◽  
Magnetic Resonance ◽  
Gender Stereotypes ◽  
Functional Neuroimaging ◽  
Brain Activity ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Interpretive Strategies ◽  
The Brain

Feminist scholars have shown that research on sex/gender differences in the brain is often used to support gender stereotypes. Scientists use a variety of methodological and interpretive strategies to make their results consistent with these stereotypes. In this paper, I analyze functional magnetic resonance imaging (fMRI) research that examines differences between women and men in brain activity associated with emotion and show that these researchers go to great lengths to make their results consistent with the view that women are more emotional than men.

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