Keyword search (3,447 papers available)


Weight-control compensatory behaviors patterns and correlates: a scoping review

Author(s): Yuan TY; Bouzari N; Bains A; Cohen TR; Kakinami L;

Objective: Weight-control compensatory behaviors appear to be a commonly utilized strategy for health management. Individuals engaging in such behaviors believe that the negative consequences from unhealthy behaviors will be neutralized by the positive cons...

Article GUID: 39469249
Sex-specific effects of intensity and dose of physical activity on BOLD-fMRI cerebrovascular reactivity and cerebral pulsatility

Author(s): Potvin-Jutras Z; Intzandt B; Mohammadi H; Liu P; Chen JJ; Gauthier CJ;

Cerebrovascular reactivity (CVR) and cerebral pulsatility (CP) are important indicators of cerebrovascular health and have been shown to be associated with physical activity (PA). Sex differences have been shown to influence the impact of PA on cerebrovascu...

Article GUID: 39416007
Altered Amplitude of Low-Frequency Fluctuations of rs-fMRI Signal followed by rTMS Analgesic Effects in Non-Specific Chronic Low Back Pain (CLBP) Patients

Author(s): Masoumbeigi M; Riyahi Alam N; Kordi R; Rostami M; Rahimiforoushani A; Jafari AH; Hashemi H; Ebrahimpour A;...

Background: Non-specific chronic low back pain (CLBP) is a common painful condition and is responsible for different physical disorders. Despite alternative therapies, patients still suffer from pe...

Article GUID: 39391282
Adiposity and cardiac autonomic function in children with a family history of obesity

Author(s): Saade MB; Holden S; Kakinami L; McGrath JJ; Mathieu MÈ; Poirier P; Barnett TA; Beaucage P; Henderson M;...

Purpose: Data on associations between adiposity and heart rate variability (HRV) in prepubertal children are limited. We examined the associations between adiposity indices and HRV, independent of ...

Article GUID: 39304555
The effects of a 12-week combined motor control exercise and isolated lumbar extension intervention on lumbar multifidus muscle stiffness in individuals with chronic low back pain

Author(s): Tornblom A; Naghdi N; Rye M; Montpetit C; Fortin M;

Introduction: Exercise therapy is the primary endorsed form of conservative treatment for chronic low back pain (LBP). However, there is still conflicting evidence on which exercise intervention is best. While motor control exercise can lead to morphologica...

Article GUID: 39258113
Open access segmentations of intraoperative brain tumor ultrasound images

Author(s): Behboodi B; Carton FX; Chabanas M; de Ribaupierre S; Solheim O; Munkvold BKR; Rivaz H; Xiao Y; Reinertsen I;...

Purpose: Registration and segmentation of magnetic resonance (MR) and ultrasound (US) images could play an essential role in surgical planning and resectioning brain tumors. However, validating the...

Article GUID: 39047165
Age of obesity onset affects subcutaneous adipose tissue cellularity differently in the abdominal and femoral region

Author(s): Murphy J; Dera A; Morais JA; Tsoukas MA; Khor N; Sazonova T; Almeida LG; Cooke AB; Daskalopoulou SS; Tam BT; Santosa S;...

Objective: We aimed to examine the effect of age of obesity onset, sex, and their interaction on abdominal and femoral subcutaneous adipose tissue (SAT) morphology (degree of adipocyte hyperplasia ...

Article GUID: 39045668
NREM sleep brain networks modulate cognitive recovery from sleep deprivation

Author(s): Lee K; Wang Y; Cross NE; Jegou A; Razavipour F; Pomares FB; Perrault AA; Nguyen A; Aydin Ü; Uji M; Abdallah C; Anticevic A; Frauscher B; Ben...

Decrease in cognitive performance after sleep deprivation followed by recovery after sleep suggests its key role, and especially non-rapid eye movement (NREM) sleep, in the maintenance of cognition...

Article GUID: 39005401
EEG/MEG source imaging of deep brain activity within the maximum entropy on the mean framework: Simulations and validation in epilepsy

Author(s): Afnan J; Cai Z; Lina JM; Abdallah C; Delaire E; Avigdor T; Ros V; Hedrich T; von Ellenrieder N; Kobayashi E; Frauscher B; Gotman J; Grova C;...

Electro/Magneto-EncephaloGraphy (EEG/MEG) source imaging (EMSI) of epileptic activity from deep generators is often challenging due to the higher sensitivity of EEG/MEG to superficial regions and t...

Article GUID: 38994740
Title:Open access segmentations of intraoperative brain tumor ultrasound images
Authors:Behboodi B,  Carton FX,  Chabanas M,  de Ribaupierre S,  Solheim O,  Munkvold BKR,  Rivaz H,  Xiao Y,  Reinertsen I, 
Link:https://pubmed.ncbi.nlm.nih.gov/39047165/
DOI:10.1002/mp.17317
Category:
PMID:39047165
Dept Affiliation: SOH
1 Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada.
2 School of Health, Concordia University, Montreal, Canada.
3 Université Grenoble Alpes, CNRS, Grenoble INP, TIMC, Grenoble, France.
4 Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
5 Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
6 Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
7 Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada.
8 Department of Health Research, SINTEF Digital, Trondheim, Norway.
9 Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

Description:

Purpose: Registration and segmentation of magnetic resonance (MR) and ultrasound (US) images could play an essential role in surgical planning and resectioning brain tumors. However, validating these techniques is challenging due to the scarcity of publicly accessible sources with high-quality ground truth information. To this end, we propose a unique set of segmentations (RESECT-SEG) of cerebral structures from the previously published RESECT dataset to encourage a more rigorous development and assessment of image-processing techniques for neurosurgery.

Acquisition and validation methods: The RESECT database consists of MR and intraoperative US (iUS) images of 23 patients who underwent brain tumor resection surgeries. The proposed RESECT-SEG dataset contains segmentations of tumor tissues, sulci, falx cerebri, and resection cavity of the RESECT iUS images. Two highly experienced neurosurgeons validated the quality of the segmentations.

Data format and usage notes: Segmentations are provided in 3D NIFTI format in the OSF open-science platform: https://osf.io/jv8bk.

Potential applications: The proposed RESECT-SEG dataset includes segmentations of real-world clinical US brain images that could be used to develop and evaluate segmentation and registration methods. Eventually, this dataset could further improve the quality of image guidance in neurosurgery.