Keyword search (4,163 papers available)

"Magnetic resonance imaging" Keyword-tagged Publications:

Title Authors PubMed ID
1 Cerebral small vessel disease lesion segmentation methods: A systematic review Phelps J; Singh M; McCreary CR; Dallaire-Théroux C; Stein RG; Potvin-Jutras Z; Guan DX; Wu JD; Metz A; Smith EE; 41080650
SOH
2 BOLD Long-Range Temporal Correlations Reflect Changes in Language and Depression Across Intensive Aphasia Therapy Jäger AP; Steele CJ; Dreyer FR; Osterloh MR; Sadlon A; Nikulin V; Mohr B; Pulvermüller F; 40927858
SOH
3 Aquatic exercise versus standard care on paraspinal muscle morphology and function in chronic low back pain patients: a randomized controlled trial Rosenstein B; Montpetit C; Vaillancourt N; Dover G; Weiss C; Papula LA; Melek A; Fortin M; 40328824
SOH
4 Comparison of Combined Motor Control Training and Isolated Extensor Strengthening Versus General Exercise on Lumbar Paraspinal Muscle Health and Associations With Patient-Reported Outcome Measures in Chronic Low Back Pain Patients: A Randomized Controlled Trial Rosenstein B; Rye M; Roussac A; Naghdi N; Macedo LG; Elliott J; DeMont R; Weber MH; Pepin V; Dover G; Fortin M; 40066720
SOH
5 Sleep neuroimaging: Review and future directions 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; 39940102
HKAP
6 Neural correlates of impulsivity in amphetamine use disorder Kaboodvand N; Shabanpour M; Guterstam J; 38991286
ENCS
7 Fractals in Neuroimaging Lahmiri S; Boukadoum M; Di Ieva A; 38468046
JMSB
8 The assessment of paraspinal muscle epimuscular fat in participants with and without low back pain: A case-control study Rosenstein B; Burdick J; Roussac A; Rye M; Naghdi N; Valentin S; Licka T; Sean M; Tétreault P; Elliott J; Fortin M; 38280825
HKAP
9 PILLAR: ParaspInaL muscLe segmentAtion pRoject - a comprehensive online resource to guide manual segmentation of paraspinal muscles from magnetic resonance imaging Anstruther M; Rossini B; Zhang T; Liang T; Xiao Y; Fortin M; 37996857
SOH
10 Bayesian workflow for the investigation of hierarchical classification models from tau-PET and structural MRI data across the Alzheimer's disease spectrum 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; 37920382
PERFORM
11 Cervical muscle morphometry and composition demonstrate prognostic value in degenerative cervical myelopathy outcomes Naghdi N; Elliott JM; Weber MH; Fehlings MG; Fortin M; 37745653
PERFORM
12 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 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; 37762861
PERFORM
13 A population-averaged structural connectomic brain atlas dataset from 422 HCP-aging subjects Xiao Y; Gilmore G; Kai J; Lau JC; Peters T; Khan AR; 37663773
ENCS
14 Sex-Specific Cerebral Blood Flow Alterations in Youth Operated for Congenital Heart Disease Easson K; Gilbert G; Gauthier C; Rohlicek CV; Saint-Martin C; Brossard-Racine M; 37301764
PHYSICS
15 A dataset of multi-contrast unbiased average MRI templates of a Parkinson's disease population Madge V; Fonov VS; Xiao Y; Zou L; Jackson C; Postuma RB; Dagher A; Fon EA; Collins DL; 37213552
IMAGING
16 Neurophysiology, Neuropsychology, and Epilepsy, in 2022: Hills We Have Climbed and Hills Ahead. Neurophysiology in epilepsy Frauscher B; Bénar CG; Engel JJ; Grova C; Jacobs J; Kahane P; Wiebe S; Zjilmans M; Dubeau F; 37119580
PERFORM
17 Comparison of paraspinal muscle composition measurements using IDEAL fat-water and T2-weighted MR images Sara Masi 36997912
PERFORM
18 Dense Sampling Approaches for Psychiatry Research: Combining Scanners and Smartphones McGowan AL; Sayed F; Boyd ZM; Jovanova M; Kang Y; Speer ME; Cosme D; Mucha PJ; Ochsner KN; Bassett DS; Falk EB; Lydon-Staley DM; 36797176
PSYCHOLOGY
19 Visuo-motor transformations in the intraparietal sulcus mediate the acquisition of endovascular medical skill Paul KI; Mueller K; Rousseau PN; Glathe A; Taatgen NA; Cnossen F; Lanzer P; Villringer A; Steele CJ; 36529202
PSYCHOLOGY
20 Evaluation of Lanthanide-Doped Upconverting Nanoparticles for in Vitro and in Vivo Applications Samhadaneh DM; Mandl GA; Han Z; Mahjoob M; Weber SC; Tuznik M; Rudko DA; Capobianco JA; Stochaj U; 35025434
CNSR
21 Bilingual language experience and the neural underpinnings of working memory Kousaie S; Chen JK; Baum SR; Phillips NA; Titone D; Klein D; 34728242
PSYCHOLOGY
22 Paraspinal muscle imaging measurements for common spinal disorders: review and consensus-based recommendations from the ISSLS degenerative spinal phenotypes group Hodges PW; Bailey JF; Fortin M; Battié MC; 34542672
HKAP
23 Evaluation of a personalized functional near infra-red optical tomography workflow using maximum entropy on the mean Cai Z; Uji M; Aydin Ü; Pellegrino G; Spilkin A; Delaire É; Abdallah C; Lina JM; Grova C; 34342073
PERFORM
24 Comparing the effect of Cognitive vs. Exercise Training on brain MRI outcomes in healthy older adults: A systematic review Intzandt B; Vrinceanu T; Huck J; Vincent T; Montero-Odasso M; Gauthier CJ; Bherer L; 34245760
PERFORM
25 Modulation of premotor cortex response to sequence motor learning during escitalopram intake. Molloy EN; Mueller K; Beinhölzl N; Blöchl M; Piecha FA; Pampel A; Steele CJ; Scharrer U; Zheleva G; Regenthal R; Sehm B; Nikulin VV; Möller HE; Villringer A; Sacher J; 33148103
PSYCHOLOGY
26 Birth weight is associated with adolescent brain development: A multimodal imaging study in monozygotic twins. Hayward DA, Pomares F, Casey KF, Ismaylova E, Levesque M, Greenlaw K, Vitaro F, Brendgen M, Rénard F, Dionne G, Boivin M, Tremblay RE, Booij L 32881198
PSYCHOLOGY
27 Language learning experience and mastering the challenges of perceiving speech in noise Kousaie S; Baum S; Phillips NA; Gracco V; Titone D; Chen JK; Chai XJ; Klein D; 31284145
PSYCHOLOGY
28 Serotonin transporter gene promoter methylation in peripheral cells in healthy adults: Neural correlates and tissue specificity. Ismaylova E, Di Sante J, Szyf M, Nemoda Z, Yu WJ, Pomares FB, Turecki G, Gobbi G, Vitaro F, Tremblay RE, Booij L 28774705
PSYCHOLOGY
29 Dehydroepiandrosterone impacts working memory by shaping cortico-hippocampal structural covariance during development. Nguyen TV, Wu M, Lew J, Albaugh MD, Botteron KN, Hudziak JJ, Fonov VS, Collins DL, Campbell BC, Booij L, Herba C, Monnier P, Ducharme S, McCracken JT 28946055
PSYCHOLOGY
30 Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy. Grova C, Aiguabella M, Zelmann R, Lina JM, Hall JA, Kobayashi E 26931511
PERFORM
31 Arterial stiffness and brain integrity: A review of MRI findings. Badji A, Sabra D, Bherer L, Cohen-Adad J, Girouard H, Gauthier CJ 31063866
PERFORM
32 Association Between Falls and Brain Subvolumes: Results from a Cross-Sectional Analysis in Healthy Older Adults. Beauchet O, Launay CP, Barden J, Liu-Ambrose T, Chester VL, Szturm T, Grenier S, Léonard G, Bherer L, Annweiler C, Helbostad JL, Verghese J, Allali G, Biomathics and Canadian Gait Consortium 27785698
PERFORM
33 Evaluation of an automated thresholding algorithm for the quantification of paraspinal muscle composition from MRI images. Fortin M, Omidyeganeh M, Battié MC, Ahmad O, Rivaz H 28532491
PERFORM
34 Association between paraspinal muscle morphology, clinical symptoms and functional status in patients with lumbar spinal stenosis. Fortin M, Lazáry À, Varga PP, Battié MC 28748488
PERFORM
35 Quantitative Magnetic Resonance Imaging Analysis of the Cervical Spine Extensor Muscles: Intrarater and Interrater Reliability of a Novice and an Experienced Rater. Fortin M, Dobrescu O, Jarzem P, Ouellet J, Weber MH 29503688
PERFORM

 

Title:Association Between Falls and Brain Subvolumes: Results from a Cross-Sectional Analysis in Healthy Older Adults.
Authors:Beauchet OLaunay CPBarden JLiu-Ambrose TChester VLSzturm TGrenier SLéonard GBherer LAnnweiler CHelbostad JLVerghese JAllali GBiomathics and Canadian Gait Consortium
Link:https://www.ncbi.nlm.nih.gov/pubmed/27785698?dopt=Abstract
DOI:10.1007/s10548-016-0533-z
Publication:Brain topography
Keywords:Brain volumeFallMagnetic resonance imagingMotor controlOlder adults
PMID:27785698 Category:Brain Topogr Date Added:2019-04-15
Dept Affiliation: PERFORM
1 Division of Geriatric Medicine, Department of Medicine, Sir Mortimer B. Davis - Jewish General Hospital and Lady Davis Institute for Medical Research, McGill University, Montreal, QC, Canada. Olivier.beauchet@mcgill.ca.
2 Dr. Joseph Kaufmann Chair in Geriatric Medicine, Faculty of Medicine, McGill University, Montreal, QC, Canada. Olivier.beauchet@mcgill.ca.
3 Centre of Excellence on Aging and Chronic Diseases of McGill Integrated University Health Network, Montreal, QC, Canada. Olivier.beauchet@mcgill.ca.
4 Division of Geriatric Medicine, Department of Neuroscience, Angers University Hospital, Angers, France.
5 University Memory Clinic of Angers, Angers, France.
6 UPRES EA 4638, University of Angers, UNAM, Angers, France.
7 Neuromechanical Research Centre, Faculty of Kinesiology and Health Studies, University of Regina, Regina, SK, Canada.
8 Aging, Mobility and Cognitive Neuroscience Laboratory, Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
9 Andrew and Marjorie McCain Human Performance Laboratory, Richard J. Currie Center, Faculty of Kinesiology, University of New Brunswick, Fredericton, NB, Canada.
10 Department of Physical Therapy, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, MB, Canada.
11 Centre de recherche, Institut universitaire de gériatrie de Montréal (CRIUGM), Montréal, QUÉBEC, Canada.
12 Research Center on Aging, Institut universitaire de gériatrie de Sherbrooke (IUGS), Sherbrooke, QUÉBEC, Canada.
13 PERFORM Centre and Department of Psychology, Concordia University, Montreal, QC, Canada.
14 Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
15 Division of Cognitive & Motor Aging, Department of Neurology, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.
16 Department of Neurology, Geneva University Hospital and University of Geneva, Geneva, Switzerland.

Description:

Association Between Falls and Brain Subvolumes: Results from a Cross-Sectional Analysis in Healthy Older Adults.

Brain Topogr. 2017 03;30(2):272-280

Authors: Beauchet O, Launay CP, Barden J, Liu-Ambrose T, Chester VL, Szturm T, Grenier S, Léonard G, Bherer L, Annweiler C, Helbostad JL, Verghese J, Allali G, Biomathics and Canadian Gait Consortium

Abstract

Falls are a consequence of gait instability. Cortical and subcortical abnormalities have been associated with gait instability but not yet with falls. This study aims to compare the global and regional brain subvolumes between healthy older fallers and non-fallers. A total of 77 healthy older individuals (23 fallers and 54 non-fallers, 69.8 ± 3.5 years; 45.5 % female) were included in this study using a cross-sectional design. Based on an a priori hypothesis, the following brain subvolumes were quantified from three-dimensional T1-weighted MRI using FreeSurfer software: total white matter abnormalities, total white matter, total cortical and subcortical gray matter, hippocampus, motor cortex, somatosensory cortex, premotor cortex, prefrontal cortex and parietal cortex volumes. Gait performances were also recorded. Age, sex, body mass index, comorbidities, use of psychoactive drugs, far-distance visual acuity, lower-limb proprioception, depressive symptoms and cognitive scores (Mini-Mental State Examination, Frontal Assessment Battery) were used as covariates. Fallers have more frequently depressive symptoms (P = 0.048), a lower far distance visual acuity (P = 0.026) and a higher coefficient of variation of stride time (P = 0.008) compared to non-fallers. There was a trend to greater subvolumes for the somatosensory cortex (P = 0.093) and the hippocampus (P = 0.060) in the falls group. Multiple logistic regressions showed that subvolumes of the somatosensory cortex and the hippocampus (P < 0.042) were increased in fallers compared to non-fallers, even after adjustment for clinical and brain characteristics. The greater subvolumes of the somatosensory cortex and hippocampus reported in fallers compared to non-fallers suggests a possible brain compensatory mechanism involving spatial navigation and integration of sensory information.

PMID: 27785698 [PubMed - indexed for MEDLINE]





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