Timo Roine

Timo Roine
Aalto University · Department of Neuroscience and Biomedical Engineering

D.Sc., M.Sc. (Tech.)

About

41
Publications
17,881
Reads
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330
Citations
Introduction
I am a post-doctoral researcher at the Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Finland. I received my Ph.D. in 2017 from the imec-Vision Lab, University of Antwerp, Belgium. My current research topic is investigation of the reproducibility and improvement of the techniques for graph theoretical analysis of structural and functional brain networks, and their applications in transcranial magnetic stimulation. I also participate in clinical studies making use of diffusion MRI, functional MRI and graph theoretical analysis in e.g. premature children, child neurological diseases, traumatic brain injury, cardiac arrest, and consciousness.
Additional affiliations
December 2017 - present
University of Turku
Position
  • PostDoc Position
September 2017 - March 2018
University of Helsinki and Helsinki University Hospital
Position
  • PostDoc Position
January 2017 - July 2017
Lausanne University Hospital
Position
  • PostDoc Position
Education
September 2012 - June 2017
University of Antwerp
Field of study
  • Medical Physics
September 2003 - November 2009
Aalto University
Field of study
  • Knowledge Techniques in Automation

Publications

Publications (41)
Article
Full-text available
Diffusion-weighted (DW) magnetic resonance imaging (MRI) is a non-invasive imaging method, which can be used to investigate neural tracts in the white matter (WM) of the brain. Significant partial volume effects (PVEs) are present in the DW signal due to relatively large voxel sizes. These PVEs can be caused by both non-WM tissue, such as gray matt...
Article
Full-text available
Diffusion-weighted (DW) magnetic resonance imaging (MRI) is a noninvasive imaging method, which can be used to investigate neural tracts in the white matter (WM) of the brain. However, the voxel sizes used in DW-MRI are relatively large, making DW-MRI prone to significant partial volume effects (PVE). These PVEs can be caused both by complex (e.g....
Article
Full-text available
Recent brain imaging findings suggest that there are widely distributed abnormalities affecting the brain connectivity in individuals with autism spectrum disorder (ASD). Using graph theoretical analysis, it is possible to investigate both global and local properties of brain’s wiring diagram, i.e., the connectome. We acquired diffusion-weighted ma...
Article
Full-text available
Diffusion-weighted magnetic resonance imaging can be used to non-invasively probe the brain microstructure. In addition, recent advances have enabled the identification of complex fiber configurations present in most of the white matter. This has improved the investigation of structural connectivity with tractography methods. Whole-brain structural...
Article
We investigated the topology of structural brain connectivity networks and its association to outcome following mild traumatic brain injury, a major cause of permanent disability. Eighty-five patients with mild traumatic brain injury underwent MRI twice, about three weeks and eight months after injury, and 30 age-matched orthopedic trauma control s...
Article
Full-text available
Along tract statistics enables white matter characterization using various diffusion MRI (dMRI) metrics. These diffusion models reveal detailed insights into white matter microstructural changes with development, pathology, and function. Here, we aim at assessing the clinical utility of dMRI metrics along the corticospinal tract, investigating whet...
Article
Full-text available
Gliomas that infiltrate networks and systems, such as the motor system, often lead to substantial functional impairment in multiple systems. Network-based statistics (NBS) allow to assess local network differences and graph theoretical analyses enable investigation of global and local network properties. Here, we used network measures to characteri...
Preprint
Full-text available
Along tract statistics enables white matter characterization using various diffusion MRI (dMRI) metrics. Here, we applied a machine learning (ML) method to assess the clinical utility of dMRI metrics along corticospinal tracts (CST), investigating whether motor glioma patients can be classified with respect to their motor status. The ML-based analy...
Preprint
Full-text available
Gliomas that infiltrate networks and systems, such as the motor system, often lead to substantial functional impairment in multiple systems. Network-based statistics (NBS) allow to 25 assess local network differences (1) and graph theoretical analyses (2) enable investigation of global and local network properties. Here, we used network measures to...
Article
Full-text available
Tumors infiltrating the motor system lead to significant disability, often caused by corticospinal tract injury. The delineation of the healthy-pathological white matter (WM) interface area, for which diffusion magnetic resonance imaging (dMRI) has shown promising potential, may improve treatment outcome. However, up to 90% of white matter (WM) vox...
Preprint
Full-text available
Tumors infiltrating the motor system lead to significant disability, often caused by corticospinal tract injury. The delineation of the healthy-pathological white matter (WM) interface area, for which diffusion magnetic resonance imaging (dMRI) has shown promising potential, may improve treatment outcome. However, up to 90% of white matter (WM) vox...
Article
Mild traumatic brain injury (mTBI) can result in long-lasting consequences. We investigated white matter (WM) alterations at 6-12 months following mTBI using diffusion tensor imaging and assessed if the alterations associate with outcome. Eighty-five patients with mTBI underwent diffusion-weighted MRI on average eight months post-injury and patient...
Article
Full-text available
The structural complexity of the thalamus, due to its mixed composition of gray and white matter, make it challenging to disjoint and quantify each tissue contribution to the thalamic anatomy. This work promotes the use of partial‐volume‐based over probabilistic‐based tissue segmentation approaches to better capture thalamic gray matter differences...
Article
Full-text available
Background and purpose: We used diffusion MR imaging to investigate the structural brain connectivity networks in juvenile neuronal ceroid lipofuscinosis, a neurodegenerative lysosomal storage disease of childhood. Although changes in conventional MR imaging are typically not visually apparent in children aged <10 years, we previously found signif...
Article
Full-text available
Background: There is increasing evidence that redox dysregulation, which can lead to oxidative stress and eventually to impairment of oligodendrocytes and parvalbumin interneurons, may underlie brain connectivity alterations in schizophrenia. Accordingly, we previously reported that levels of brain antioxidant glutathione in the medial prefrontal...
Article
Full-text available
The ventro-intermediate nucleus (Vim), as part of the motor thalamic nuclei, is a commonly used target in functional stereotactic neurosurgery for treatment of drug-resistant tremor. As it cannot be directly visualized on routinely used magnetic resonance imaging (MRI), its clinical targeting is performed using indirect methods. Recent literature s...
Conference Paper
The thalamus has a central role in the pathophysiology of schizophrenia. Formed by several nuclei, it is mainly constituted by partial volume (PV) of grey and white matter. We hypothesize that a PV segmentation will be better in measuring subtle changes in schizophrenia than total thalamus volume or local measurements that do not consider PV. We co...
Article
Full-text available
Background and purpose: Juvenile neuronal ceroid lipofuscinosis is a progressive neurodegenerative lysosomal storage disease of childhood. It manifests with loss of vision, seizures, and loss of cognitive and motor functions leading to premature death. Previous MR imaging studies have reported cerebral and cerebellar atrophy, progressive hippocamp...
Article
Full-text available
Background Schizophrenia is a neurodevelopmental disease arising from complex interactions between genetic and environmental factors that cause disconnectivity within core brain networks including the thalamus. The thalamus has a central role in the pathophysiology of schizophrenia, however to what extent and how it is affected at the microstructur...
Article
Full-text available
Background In schizophrenic patients, increasing evidence suggests that oxidative stress is involved on the disease pathophysiology. Estimation of the level of glutathione (GSH), main actor of the brain redox dysregulation, has revealed a decreased GSH levels in early psychosis patients (EPP). N-Acetyl-Cysteine (NAC) is an antioxidant and precursor...
Thesis
Full-text available
Diffusion magnetic resonance imaging (MRI) has the unique ability to non-invasively measure brain microstructure and structural connectivity in vivo. Until recently, the accuracy of the reconstructed neural pathways has been limited due to the inability of diffusion tensor imaging (DTI) to detect crossing pathways, present in the majority of white...
Data
Global fractional anisotropy (FA) values measured with the three different methods in acute or sub-acute mild traumatic brain injury (mTBI defined as GCS ≥ 13, GCS ≥ 13 and post traumatic amnesia (PTA) < 24 h, GCS ≥ 13 and PTA > 24 h) vs controls. Age was used as covariate.
Data
Global mean (MD), axial (AD) and radial (RD) diffusivity values measured with the single-fiber skeleton approach in acute or sub-acute mild traumatic brain injury (mTBI defined as GCS ≥ 13, GCS ≥ 13 and post traumatic amnesia (PTA) < 24 h, GCS ≥ 13 and PTA > 24 h) vs controls. Age was used as covariate.
Article
Full-text available
We sought to investigate white matter abnormalities in mild traumatic brain injury (mTBI) using diffusion-weighted magnetic resonance imaging (DW-MRI). We applied a global approach based on tract-based spatial statistics skeleton as well as constrained spherical deconvolution tractography. DW-MRI was performed on 102 patients with mTBI within two m...
Conference Paper
Full-text available
We used a robust diffusion MRI approach to analyse global microstructural abnormalities in mild traumatic brain injury (mTBI) without confounding effects of complex fiber configurations. Microstructural properties of white matter skeleton were investigated, but only voxels with a single fiber orientation detected with constrained spherical deconvol...
Conference Paper
Objectives: The aim of this study was to see whether there are any global changes in the fractional anisotropy (FA) values in the brain of patients with TBI compared to healthy controls using high angular resolution diffusion imaging (HARDI) method. Methods: We studied 41 patients with mild TBI (GCS= 13-15) and 23 controls using diffusion-weighted...
Article
Full-text available
Diffusion Weighted (DW) MRI allows for the non-invasive study of water diffusion inside living tissues. As such, it is useful for the investigation of human brain white matter (WM) connectivity in vivo through fiber tractography (FT) algorithms. Many DW-MRI tailored restoration techniques and FT algorithms have been developed. However, it is not cl...
Article
Full-text available
Background The aim of this study was to investigate potential differences in neural structure in individuals with Asperger syndrome (AS), high-functioning individuals with autism spectrum disorder (ASD). The main symptoms of AS are severe impairments in social interactions and restricted or repetitive patterns of behaviors, interests or activities....
Conference Paper
Full-text available
Purpose: In this study, we investigated partial volume effects (PVEs) of non-white matter (WM) tissue in constrained spherical deconvolution (CSD) [1]. Diffusion-weighted (DW) magnetic resonance imaging (MRI) is prone to significant PVEs due to its limitations in spatial resolution [2]. While able to detect multiple crossing or kissing fiber config...
Conference Paper
Full-text available
In this study, we investigated partial volume effects (PVEs) of non-white matter (WM) tissue in constrained spherical deconvolution (CSD). Diffusion-weighted (DW) magnetic resonance imaging (MRI) is prone to significant PVEs due to its limitations in spatial resolution. While able to detect multiple crossing or kissing fiber configurations, non-WM...
Article
Full-text available
To investigate whether there are global white matter (WM) differences between autistic and healthy adults, we performed diffusion tensor imaging (DTI) in 14 male adults with Asperger syndrome (AS) and 19 gender-, age-, and intelligence quotient-matched controls. We focused on individuals with high-functioning autism spectrum disorder (ASD), AS, to...
Article
Full-text available
Background: Twin and family studies have indicated a strong genetic component in autism spectrum disorders, and genetic studies have revealed highly heterogeneous risk factors. The range and severity of the symptom presentation also vary in the spectrum. Thus, symptom-based phenotypes are putatively more closely related to the underlying biology of...
Conference Paper
Asperger syndrome (AS) is a neurodevelopmental disorder, which belongs to autism spectrum disorders. Its main symptoms are deficits in social interactions, and restricted and stereotyped behavior. There is accumulating evidence that the white matter tracts connecting brain areas are atypical in AS (for a review, see Schipul et al. 2011). Here, we c...
Conference Paper
Full-text available
This paper presents a novel simulation concept for operator training in the field of mineral processing. The simulations are carried out with a dynamic process simulator HSC Sim® of HSC Chemistry® developed by Outotec Research Oy. The simulator is fitted to mimic an existing copper flotation circuit as accurately as possible by using metallurgical...
Conference Paper
Full-text available
A grinding mill model based on discrete element method (DEM) simulations is being developed at Outotec Oyj (Finland) to be used in mill design optimization. The model can be used for many purposes; one example is the selection of the lining and the size of the mill to meet the requirements of the clients. To validate the accuracy of the DEM simulat...
Conference Paper
Full-text available
This paper presents generic, modular and scalable machine vision architecture for single or multi camera applications. It can be used for rapid-prototyping but, as shown in the text, it has also been successfully applied for on-line plant installation for several years without any problems. The key idea is to separate the algorithm development and...

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