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Detrimental Effects of Space Flight on the Lumbar Spine May Be Correlated to Baseline Degeneration: Insights From an Advanced MR Imaging Study

Author(s): Bokhari R; Bisson DG; Fortin M; Vigouroux M; Cata JP; Hwang KP; Chen MM; Ceniza-Bordallo G; Ouellet JA; Ingelmo PM;

Introduction: Pain in lower back is a common condition reported by astronauts, both during and after space missions. Investigating the alterations in the spine and the mechanisms driving these changes is essential for a deeper understanding of how microgravity impacts the human spine. This knowle ...

Article GUID: 40124538


An analysis of performance bottlenecks in MRI preprocessing

Author(s): Dugré M; Chatelain Y; Glatard T;

Magnetic resonance imaging (MRI) preprocessing is a critical step for neuroimaging analysis. However, the computational cost of MRI preprocessing pipelines is a major bottleneck for large cohort studies and some clinical applications. While high-performance computing and, more recently, deep learning have been adopted to accelerate the computations, these ...

Article GUID: 40072903


Sleep neuroimaging: Review and future directions

Author(s): Pereira M; Chen X; Paltarzhytskaya A; Pache?o Y; Muller N; Bovy L; Lei X; Chen W; Ren H; Song C; Lewis LD; Dang-Vu TT; Czisch M; Picchioni D; Duyn J; Peigneux P; Tagliazucchi E; Dresler M;

Sleep research has evolved considerably since the first sleep electroencephalography recordings in the 1930s and the discovery of well-distinguishable sleep stages in the 1950s. While electrophysiological recordings have been used to describe the sleeping brain in much detail, since the 1990s neu ...

Article GUID: 39940102


Using evolutionary theory to enhance the brain imaging paradigm

Author(s): Saad G; Greengross G;

No abstract available

Article GUID: 24999326


Fractals in Neuroimaging

Author(s): Lahmiri S; Boukadoum M; Di Ieva A;

Several natural phenomena can be described by studying their statistical scaling patterns, hence leading to simple geometrical interpretation. In this regard, fractal geometry is a powerful tool to describe the irregular or fragmented shape of natural features, using spatial or time-domain statistical scaling laws (power-law behavior) to characterize real ...

Article GUID: 38468046


At-home computerized executive-function training to improve cognition and mobility in normal-hearing adults and older hearing aid users: a multi-centre, single-blinded randomized controlled trial

Author(s): Downey R; Gagné N; Mohanathas N; Campos JL; Pichora-Fuller KM; Bherer L; Lussier M; Phillips NA; Wittich W; St-Onge N; Gagné JP; Li K;

Background: Hearing loss predicts cognitive decline and falls risk. It has been argued that degraded hearing makes listening effortful, causing competition for higher-level cognitive resources needed for secondary cognitive or motor tasks. Therefore, executive function training has the potential ...

Article GUID: 37864139


Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN

Author(s): Valevicius D; Beck N; Kasper L; Boroday S; Bayer J; Rioux P; Caron B; Adalat R; Evans AC; Khalili-Mahani N;

Neuroimaging research requires sophisticated tools for analyzing complex data, but efficiently leveraging these tools can be a major challenge, especially on large datasets. CBRAIN is a web-based platform designed to simplify the use and accessibility of neuroimaging research tools for large-scal ...

Article GUID: 37841811


Electroencephalographic characteristics of children and adolescents with chronic musculoskeletal pain

Author(s): Ocay DD; Teel EF; Luo OD; Savignac C; Mahdid Y; Blain-Moraes S; Ferland CE;

Introduction: The pathophysiology of pediatric musculoskeletal (MSK) pain is unclear, contributing to persistent challenges to its management. Objectives: This study hypothesizes that children and adolescents with chronic MSK pain (CPs) will show differences in electroencephalography (EEG) features at rest and during thermal pain modalities when compared ...

Article GUID: 36601627


Cerebral blood flow in schizophrenia: A systematic review and meta-analysis of MRI-based studies

Author(s): Percie du Sert O; Unrau J; Gauthier CJ; Chakravarty M; Malla A; Lepage M; Raucher-Chéné D;

Introduction: Schizophrenia-spectrum disorders (SSD) represent one of the leading causes of disability worldwide and are usually underpinned by neurodevelopmental brain abnormalities observed on a structural and functional level. Nuclear medicine imaging studies of cerebral blood ...

Article GUID: 36341843


The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging

Author(s): Paquola C; Royer J; Lewis LB; Lepage C; Glatard T; Wagstyl K; DeKraker J; Toussaint PJ; Valk SL; Collins DL; Khan A; Amunts K; Evans AC; Dickscheid T; Bernhardt BC;

Neuroimaging stands to benefit from emerging ultrahigh-resolution 3D histological atlases of the human brain; the first of which is 'BigBrain'. Here, we review recent methodological advances for the integration of BigBrain with multi-modal neuroimaging and introduce a toolbox, 'BigBra ...

Article GUID: 34431476


A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines

Author(s): OmidYeganeh M; Khalili-Mahani N; Bermudez P; Ross A; Lepage C; Vincent RD; Jeon S; Lewis LB; Das S; Zijdenbos AP; Rioux P; Adalat R; Van Eede MC; Evans AC;

In recent years, the replicability of neuroimaging findings has become an important concern to the research community. Neuroimaging pipelines consist of myriad numerical procedures, which can have a cumulative effect on the accuracy of findings. To address this problem, we propose a method for si ...

Article GUID: 34381348


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