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NeuroImage: Clinical

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https://www.readbyqxmd.com/read/28706852/neurological-software-tool-for-reliable-atrophy-measurement-neurostream-of-the-lateral-ventricles-on-clinical-quality-t2-flair-mri-scans-in-multiple-sclerosis
#1
Michael G Dwyer, Diego Silva, Niels Bergsland, Dana Horakova, Deepa Ramasamy, Jaqueline Durfee, Manuela Vaneckova, Eva Havrdova, Robert Zivadinov
BACKGROUND: There is a need for a brain volume measure applicable to the clinical routine scans. Nearly every multiple sclerosis (MS) protocol includes low-resolution 2D T2-FLAIR imaging. OBJECTIVES: To develop and validate cross-sectional and longitudinal brain atrophy measures on clinical-quality T2-FLAIR images in MS patients. METHODS: A real-world dataset from 109 MS patients from 62 MRI scanners was used to develop a lateral ventricular volume (LVV) algorithm with a longitudinal Jacobian-based extension, called NeuroSTREAM...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28706851/a-joint-time-frequency-analysis-of-resting-state-functional-connectivity-reveals-novel-patterns-of-connectivity-shared-between-or-unique-to-schizophrenia-patients-and-healthy-controls
#2
Maziar Yaesoubi, Robyn L Miller, Juan Bustillo, Kelvin O Lim, Jatin Vaidya, Vince D Calhoun
Functional connectivity of the resting-state (RS) brain is a vehicle to study brain dysconnectivity aspects of diseases such as schizophrenia and bipolar. Methods that are developed to measure functional connectivity are based on the underlying hypotheses regarding the actual nature of RS-connectivity including evidence of temporally dynamic versus static RS-connectivity and evidence of frequency-specific versus hemodynamically-driven connectivity over a wide frequency range. This study is derived by these observations of variation of RS-connectivity in temporal and frequency domains and evaluates such characteristics of RS-connectivity in clinical population and jointly in temporal and frequency domains (the spectro-temporal domain)...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28702354/white-matter-integrity-in-dyskinetic-cerebral-palsy-relationship-with-intelligence-quotient-and-executive-function
#3
Olga Laporta-Hoyos, Kerstin Pannek, Júlia Ballester-Plané, Lee B Reid, Élida Vázquez, Ignacio Delgado, Leire Zubiaurre-Elorza, Alfons Macaya, Pilar Póo, Mar Meléndez-Plumed, Carme Junqué, Roslyn Boyd, Roser Pueyo
BACKGROUND: Dyskinetic cerebral palsy (CP) is one of the most disabling motor types of CP and has been classically associated with injury to the basal ganglia and thalamus. Although cognitive dysfunction is common in CP, there is a paucity of published quantitative analyses investigating the relationship between white matter (WM) microstructure and cognition in this CP type. AIMS: This study aims (1) to compare brain WM microstructure between people with dyskinetic CP and healthy controls, (2) to identify brain regions where WM microstructure is related to intelligence and (3) to identify brain regions where WM microstructure is related to executive function in people with dyskinetic CP and (4) to identify brain regions where the correlations are different between controls and people with CP in IQ and executive functions...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28702353/longitudinal-mr-spectroscopy-of-neurodegeneration-in-multiple-sclerosis-with-diffusion-of-the-intra-axonal-constituent-n-acetylaspartate
#4
Emily Turner Wood, Ece Ercan, Pascal Sati, Irene C M Cortese, Itamar Ronen, Daniel S Reich
Multiple sclerosis (MS) is a pathologically complex CNS disease: inflammation, demyelination, and neuroaxonal degeneration occur concurrently and may depend on one another. Current therapies are aimed at the immune-mediated, inflammatory destruction of myelin, whereas axonal degeneration is ongoing and not specifically targeted. Diffusion-weighted magnetic resonance spectroscopy can measure the diffusivity of metabolites in vivo, such as the axonal/neuronal constituent N-acetylaspartate, allowing compartment-specific assessment of disease-related changes...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28702352/automatized-smoking-related-action-schemata-are-reflected-by-reduced-fmri-activity-in-sensorimotor-brain-regions-of-smokers
#5
Ayse Ilkay Isik, Marcus J Naumer, Jochen Kaiser, Christian Buschenlange, Sandro Wiesmann, Stefan Czoschke, Yavor Yalachkov
In the later stages of addiction, automatized processes play a prominent role in guiding drug-seeking and drug-taking behavior. However, little is known about the neural correlates of automatized drug-taking skills and drug-related action knowledge in humans. We employed functional magnetic resonance imaging (fMRI) while smokers and non-smokers performed an orientation affordance task, where compatibility between the hand used for a behavioral response and the spatial orientation of a priming stimulus leads to shorter reaction times resulting from activation of the corresponding motor representations...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28702351/activation-of-dominant-hemisphere-association-cortex-during-naming-as-a-function-of-cognitive-performance-in-mild-traumatic-brain-injury-insights-into-mechanisms-of-lexical-access
#6
Mihai Popescu, John D Hughes, Elena-Anda Popescu, Judy Mikola, Warren Merrifield, Maria DeGraba, Gerard Riedy, Thomas J DeGraba
Patients with a history of mild traumatic brain injury (mTBI) and objective cognitive deficits frequently experience word finding difficulties in normal conversation. We sought to improve our understanding of this phenomenon by determining if the scores on standardized cognitive testing are correlated with measures of brain activity evoked in a word retrieval task (confrontational picture naming). The study participants (n = 57) were military service members with a history of mTBI. The General Memory Index (GMI) determined after administration of the Rivermead Behavioral Memory Test, Third Edition, was used to assign subjects to three groups: low cognitive performance (Group 1: GMI ≤ 87, n = 18), intermediate cognitive performance (Group 2: 88 ≤ GMI ≤ 99, n = 18), and high cognitive performance (Group 3: GMI ≥ 100, n = 21)...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28702350/reading-related-white-matter-structures-in-adolescents-are-influenced-more-by-dysregulation-of-emotion-than-behavior
#7
Tzipi Horowitz-Kraus, Scott K Holland, Amelia L Versace, Michele A Bertocci, Genna Bebko, Jorge R C Almeida, Susan B Perlman, Michael J Travis, Mary Kay Gill, Lisa Bonar, Claudiu Schirda, Jeffrey L Sunshine, Boris Birmaher, Gerry Taylor, Vaibhav A Diwadkar, Sarah M Horwitz, David Axelson, Thomas Frazier, Eugene L Arnold, Mary A Fristad, Eric A Youngstrom, Robert L Findling, Mary L Phillips
Mood disorders and behavioral are broad psychiatric diagnostic categories that have different symptoms and neurobiological mechanisms, but share some neurocognitive similarities, one of which is an elevated risk for reading deficit. Our aim was to determine the influence of mood versus behavioral dysregulation on reading ability and neural correlates supporting these skills in youth, using diffusion tensor imaging in 11- to 17-year-old children and youths with mood disorders or behavioral disorders and age-matched healthy controls...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28702349/distinct-multivariate-brain-morphological-patterns-and-their-added-predictive-value-with-cognitive-and-polygenic-risk-scores-in-mental-disorders
#8
Nhat Trung Doan, Tobias Kaufmann, Francesco Bettella, Kjetil Nordbø Jørgensen, Christine Lycke Brandt, Torgeir Moberget, Dag Alnæs, Gwenaëlle Douaud, Eugene Duff, Srdjan Djurovic, Ingrid Melle, Torill Ueland, Ingrid Agartz, Ole A Andreassen, Lars T Westlye
The brain underpinnings of schizophrenia and bipolar disorders are multidimensional, reflecting complex pathological processes and causal pathways, requiring multivariate techniques to disentangle. Furthermore, little is known about the complementary clinical value of brain structural phenotypes when combined with data on cognitive performance and genetic risk. Using data-driven fusion of cortical thickness, surface area, and gray matter density maps (GMD), we found six biologically meaningful patterns showing strong group effects, including four statistically independent multimodal patterns reflecting co-occurring alterations in thickness and GMD in patients, over and above two other independent patterns of widespread thickness and area reduction...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28702348/predicting-pain-relief-use-of-pre-surgical-trigeminal-nerve-diffusion-metrics-in-trigeminal-neuralgia
#9
Peter S-P Hung, David Q Chen, Karen D Davis, Jidan Zhong, Mojgan Hodaie
Trigeminal neuralgia (TN) is a chronic neuropathic facial pain disorder that commonly responds to surgery. A proportion of patients, however, do not benefit and suffer ongoing pain. There are currently no imaging tools that permit the prediction of treatment response. To address this paucity, we used diffusion tensor imaging (DTI) to determine whether pre-surgical trigeminal nerve microstructural diffusivities can prognosticate response to TN treatment. In 31 TN patients and 16 healthy controls, multi-tensor tractography was used to extract DTI-derived metrics-axial (AD), radial (RD), mean diffusivity (MD), and fractional anisotropy (FA)-from the cisternal segment, root entry zone and pontine segment of trigeminal nerves for false discovery rate-corrected Student's t-tests...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28702347/tdcs-modulates-cortical-excitability-in-patients-with-disorders-of-consciousness
#10
Yang Bai, Xiaoyu Xia, Jiannan Kang, Yi Yang, Jianghong He, Xiaoli Li
Transcranial direct current stimulation (tDCS) has been reported to be a promising technique for consciousness improvement for patients with disorders of consciousness (DOC). However, there has been no direct electrophysiological evidence to demonstrate the efficacy of tDCS on patients with DOC. Therefore, we aim to measure the cortical excitability changes induced by tDCS in patients with DOC, to find electrophysiological evidence supporting the therapeutic efficacy of tDCS on patients with DOC. In this study, we enrolled sixteen patients with DOC, including nine vegetative state (VS) and seven minimally conscious state (MCS) (six females and ten males)...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28702346/automatic-detection-and-visualisation-of-meg-ripple-oscillations-in-epilepsy
#11
Nicole van Klink, Frank van Rosmalen, Jukka Nenonen, Sergey Burnos, Liisa Helle, Samu Taulu, Paul Lawrence Furlong, Maeike Zijlmans, Arjan Hillebrand
High frequency oscillations (HFOs, 80-500 Hz) in invasive EEG are a biomarker for the epileptic focus. Ripples (80-250 Hz) have also been identified in non-invasive MEG, yet detection is impeded by noise, their low occurrence rates, and the workload of visual analysis. We propose a method that identifies ripples in MEG through noise reduction, beamforming and automatic detection with minimal user effort. We analysed 15 min of presurgical resting-state interictal MEG data of 25 patients with epilepsy. The MEG signal-to-noise was improved by using a cross-validation signal space separation method, and by calculating ~ 2400 beamformer-based virtual sensors in the grey matter...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28702345/hierarchical-disruption-in-the-bayesian-brain-focal-epilepsy-and-brain-networks
#12
Amir Omidvarnia, Mangor Pedersen, Richard E Rosch, Karl J Friston, Graeme D Jackson
In this opinion paper, we describe a combined view of functional and effective brain connectivity along with the free-energy principle for investigating persistent disruptions in brain networks of patients with focal epilepsy. These changes are likely reflected in effective connectivity along the cortical hierarchy and construct the basis of increased local functional connectivity in focal epilepsy. We propose a testable framework based on dynamic causal modelling and functional connectivity analysis with the capacity of explaining commonly observed connectivity changes during interictal periods...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28702344/directional-information-flow-in-patients-with-alzheimer-s-disease-a-source-space-resting-state-meg-study
#13
M M A Engels, M Yu, C J Stam, A A Gouw, W M van der Flier, Ph Scheltens, E C W van Straaten, A Hillebrand
In a recent magnetoencephalography (MEG) study, we found posterior-to-anterior information flow over the cortex in higher frequency bands in healthy subjects, with a reversed pattern in the theta band. A disruption of information flow may underlie clinical symptoms in Alzheimer's disease (AD). In AD, highly connected regions (hubs) in posterior areas are mostly disrupted. We therefore hypothesized that in AD the information flow from these hub regions would be disturbed. We used resting-state MEG recordings from 27 early-onset AD patients and 26 healthy controls...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28664037/white-matter-tractography-for-neurosurgical-planning-a-topography-based-review-of-the-current-state-of-the-art
#14
REVIEW
Walid I Essayed, Fan Zhang, Prashin Unadkat, G Rees Cosgrove, Alexandra J Golby, Lauren J O'Donnell
We perform a review of the literature in the field of white matter tractography for neurosurgical planning, focusing on those works where tractography was correlated with clinical information such as patient outcome, clinical functional testing, or electro-cortical stimulation. We organize the review by anatomical location in the brain and by surgical procedure, including both supratentorial and infratentorial pathologies, and excluding spinal cord applications. Where possible, we discuss implications of tractography for clinical care, as well as clinically relevant technical considerations regarding the tractography methods...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28664036/virtual-brain-biopsies-in-amyotrophic-lateral-sclerosis-diagnostic-classification-based-on-in-vivo-pathological-patterns
#15
Peter Bede, Parameswaran M Iyer, Eoin Finegan, Taha Omer, Orla Hardiman
BACKGROUND: Diagnostic uncertainty in ALS has serious management implications and delays recruitment into clinical trials. Emerging evidence of presymptomatic disease-burden provides the rationale to develop diagnostic applications based on the evaluation of in-vivo pathological patterns early in the disease. OBJECTIVES: To outline and test a diagnostic classification approach based on an array of complementary imaging metrics in key disease-associated anatomical structures...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28664035/neurophysiological-mechanisms-of-circadian-cognitive-control-in-rls-patients-an-eeg-source-localization-study
#16
Rui Zhang, Moritz D Brandt, Wiebke Schrempf, Christian Beste, Ann-Kathrin Stock
The circadian variation of sensory and motor symptoms with increasing severity in the evening and at night is a key diagnostic feature/symptom of the restless legs syndrome (RLS). Even though many neurological diseases have shown a strong nexus between motor and cognitive symptoms, it has remained unclear whether cognitive performance of RLS patients declines in the evening and which neurophysiological mechanisms are affected by the circadian variation. In the current study, we examined daytime effects (morning vs...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28664034/fully-automatic-acute-ischemic-lesion-segmentation-in-dwi-using-convolutional-neural-networks
#17
Liang Chen, Paul Bentley, Daniel Rueckert
Stroke is an acute cerebral vascular disease, which is likely to cause long-term disabilities and death. Acute ischemic lesions occur in most stroke patients. These lesions are treatable under accurate diagnosis and treatments. Although diffusion-weighted MR imaging (DWI) is sensitive to these lesions, localizing and quantifying them manually is costly and challenging for clinicians. In this paper, we propose a novel framework to automatically segment stroke lesions in DWI. Our framework consists of two convolutional neural networks (CNNs): one is an ensemble of two DeconvNets (Noh et al...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28664033/decreased-susceptibility-of-major-veins-in-mild-traumatic-brain-injury-is-correlated-with-post-concussive-symptoms-a-quantitative-susceptibility-mapping-study
#18
Chao Chai, Rui Guo, Chao Zuo, Linlin Fan, Saifeng Liu, Tianyi Qian, E Mark Haacke, Shuang Xia, Wen Shen
Cerebral venous oxygen saturation (SvO2) is an important biomarker of brain function. In this study, we aimed to explore the relative changes of regional cerebral SvO2 among axonal injury (AI) patients, non-AI patients and healthy controls (HCs) using quantitative susceptibility mapping (QSM). 48 patients and 32 HCs were enrolled. The patients were divided into two groups depending on the imaging based evidence of AI. QSM was used to measure the susceptibility of major cerebral veins. Nonparametric testing was performed for susceptibility differences among the non-AI patient group, AI patient group and healthy control group...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28664032/five-class-differential-diagnostics-of-neurodegenerative-diseases-using-random-undersampling-boosting
#19
Tong Tong, Christian Ledig, Ricardo Guerrero, Andreas Schuh, Juha Koikkalainen, Antti Tolonen, Hanneke Rhodius, Frederik Barkhof, Betty Tijms, Afina W Lemstra, Hilkka Soininen, Anne M Remes, Gunhild Waldemar, Steen Hasselbalch, Patrizia Mecocci, Marta Baroni, Jyrki Lötjönen, Wiesje van der Flier, Daniel Rueckert
Differentiating between different types of neurodegenerative diseases is not only crucial in clinical practice when treatment decisions have to be made, but also has a significant potential for the enrichment of clinical trials. The purpose of this study is to develop a classification framework for distinguishing the four most common neurodegenerative diseases, including Alzheimer's disease, frontotemporal lobe degeneration, Dementia with Lewy bodies and vascular dementia, as well as patients with subjective memory complaints...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28664031/large-scale-structural-alteration-of-brain-in-epileptic-children-with-scn1a-mutation
#20
Yun-Jeong Lee, Mi-Sun Yum, Min-Jee Kim, Woo-Hyun Shim, Hee Mang Yoon, Il Han Yoo, Jiwon Lee, Byung Chan Lim, Ki Joong Kim, Tae-Sung Ko
OBJECTIVE: Mutations in SCN1A gene encoding the alpha 1 subunit of the voltage gated sodium channel are associated with several epilepsy syndromes including genetic epilepsy with febrile seizures plus (GEFS +) and severe myoclonic epilepsy of infancy (SMEI). However, in most patients with SCN1A mutation, brain imaging has reported normal or non-specific findings including cerebral or cerebellar atrophy. The aim of this study was to investigate differences in brain morphometry in epileptic children with SCN1A mutation compared to healthy control subjects...
2017: NeuroImage: Clinical
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