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Neural correlates of impulsivity in amphetamine use disorder

Author(s): Kaboodvand N; Shabanpour M; Guterstam J;

Impulsivity is a trait associated with several psychiatric conditions, not least addictive disorders. While the neural mechanisms behind certain aspects of impulsivity have been studied extensively, there are few imaging studies examining this neurocircuitry in populations with substance use disorders. Therefore, we aimed to examine the functional connect ...

Article GUID: 38991286


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


The assessment of paraspinal muscle epimuscular fat in participants with and without low back pain: A case-control study

Author(s): Rosenstein B; Burdick J; Roussac A; Rye M; Naghdi N; Valentin S; Licka T; Sean M; Tétreault P; Elliott J; Fortin M;

It remains unclear whether paraspinal muscle fatty infiltration in low back pain (LBP) is i) solely intramuscular, ii) is lying outside the epimysium between the muscle and fascial plane (epimuscular) or iii) or combination of both, as imaging studies often use different segmentation protocols th ...

Article GUID: 38280825


PILLAR: ParaspInaL muscLe segmentAtion pRoject - a comprehensive online resource to guide manual segmentation of paraspinal muscles from magnetic resonance imaging

Author(s): Anstruther M; Rossini B; Zhang T; Liang T; Xiao Y; Fortin M;

Background: There is an increasing interest in assessing paraspinal morphology and composition in relation to low back pain (LBP). However, variations in methods and segmentation protocols contribute to the inconsistent findings in the literature. We present an on-line resource, the ParaspInaL muscLe segmentAtion pRoject (PILLAR, https://projectpillar.git ...

Article GUID: 37996857


Bayesian workflow for the investigation of hierarchical classification models from tau-PET and structural MRI data across the Alzheimer's disease spectrum

Author(s): Belasso CJ; Cai Z; Bezgin G; Pascoal T; Stevenson J; Rahmouni N; Tissot C; Lussier F; Rosa-Neto P; Soucy JP; Rivaz H; Benali H;

Background: Alzheimer's disease (AD) diagnosis in its early stages remains difficult with current diagnostic approaches. Though tau neurofibrillary tangles (NFTs) generally follow the stereotypical pattern described by the Braak staging scheme, the network degeneration hypothesis (NDH) has su ...

Article GUID: 37920382


Cervical muscle morphometry and composition demonstrate prognostic value in degenerative cervical myelopathy outcomes

Author(s): Naghdi N; Elliott JM; Weber MH; Fehlings MG; Fortin M;

Objectives: This study aimed to examine whether preoperative cervical muscle size, composition, and asymmetry from magnetic resonance imaging (MRI) can predict post-operative outcomes in patients with degenerative cervical myelopathy (DCM). Methods: A total of 171 patients with DCM were included. Relative total cross-sectional area (RCSA), functional CSA ...

Article GUID: 37745653


The Effects of Combined Motor Control and Isolated Extensor Strengthening versus General Exercise on Paraspinal Muscle Morphology, Composition, and Function in Patients with Chronic Low Back Pain: A Randomized Controlled Trial

Author(s): Fortin M; Rye M; Roussac A; Montpetit C; Burdick J; Naghdi N; Rosenstein B; Bertrand C; Macedo LG; Elliott JM; Dover G; DeMont R; Weber MH; Pepin V;

Low back pain (LBP), a globally widespread and persistent musculoskeletal disorder, benefits from exercise therapy. However, it remains unclear which type leads to greater changes in paraspinal muscle health. This study aimed to (1) compare the effects of a combined motor control and isolated lum ...

Article GUID: 37762861


A population-averaged structural connectomic brain atlas dataset from 422 HCP-aging subjects

Author(s): Xiao Y; Gilmore G; Kai J; Lau JC; Peters T; Khan AR;

Population-averaged brain atlases, that are represented in a standard space with anatomical labels, are instrumental tools in neurosurgical planning and the study of neurodegenerative conditions. Traditional brain atlases are primarily derived from anatomical scans and contain limited information regarding the axonal organization of the white matter. With ...

Article GUID: 37663773


Sex-Specific Cerebral Blood Flow Alterations in Youth Operated for Congenital Heart Disease

Author(s): Easson K; Gilbert G; Gauthier C; Rohlicek CV; Saint-Martin C; Brossard-Racine M;

Background Lower cerebral blood flow (CBF) has previously been documented preoperatively in neonates with congenital heart disease (CHD). However, it remains unclear if these CBF deficits persist over the life span of CHD survivors following heart surgery. When exploring this question, it is critical to consider the sex differences in CBF that emerge duri ...

Article GUID: 37301764


A dataset of multi-contrast unbiased average MRI templates of a Parkinson's disease population

Author(s): Madge V; Fonov VS; Xiao Y; Zou L; Jackson C; Postuma RB; Dagher A; Fon EA; Collins DL;

Parkinson's disease (PD) is a complex neurodegenerative disorder affecting regions such as the substantia nigra (SN), red nucleus (RN) and locus coeruleus (LC). Processing MRI data from patients with PD requires anatomical structural references for spatial normalization and structural segmentation. Extending our previous work, we present multi-contras ...

Article GUID: 37213552


Neurophysiology, Neuropsychology, and Epilepsy, in 2022: Hills We Have Climbed and Hills Ahead. Neurophysiology in epilepsy

Author(s): Frauscher B; Bénar CG; Engel JJ; Grova C; Jacobs J; Kahane P; Wiebe S; Zjilmans M; Dubeau F;

Since the discovery of the human electroencephalogram (EEG), neurophysiology techniques have become indispensable tools in our armamentarium to localize epileptic seizures. New signal analysis techniques and the prospects of artificial intelligence and big data will offer unprecedented opportunit ...

Article GUID: 37119580


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