| Keyword search (4,163 papers available) | ![]() |
"Tomography" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | NIRSTORM: a Brainstorm extension dedicated to functional near-infrared spectroscopy data analysis, advanced 3D reconstructions, and optimal probe design | Delaire É; Vincent T; Cai Z; Machado A; Hugueville L; Schwartz D; Tadel F; Cassani R; Bherer L; Lina JM; Pélégrini-Issac M; Grova C; | 40375973 SOH |
| 2 | 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 |
| 3 | Fractals in Neuroimaging | Lahmiri S; Boukadoum M; Di Ieva A; | 38468046 JMSB |
| 4 | Brain PET Imaging in Small Animals: Tracer Formulation, Data Acquisition, Image Reconstruction, and Data Analysis | Bdair H; Kang MS; Ottoy J; Aliaga A; Kunach P; Singleton TA; Blinder S; Soucy JP; Leyton M; Rosa-Neto P; Kostikov A; | 38006502 PERFORM |
| 5 | 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 |
| 6 | Dosimetry of [18F]TRACK, the first PET tracer for imaging of TrkB/C receptors in humans | Thiel A; Kostikov A; Ahn H; Daoud Y; Soucy JP; Blinder S; Jaworski C; Wängler C; Wängler B; Juengling F; Enger SA; Schirrmacher R; | 37870640 PERFORM |
| 7 | Radiosynthesis and In Vivo Evaluation of Four Positron Emission Tomography Tracer Candidates for Imaging of Melatonin Receptors | Bdair H; Singleton TA; Ross K; Jolly D; Kang MS; Aliaga A; Tuznik M; Kaur T; Yous S; Soucy JP; Massarweh G; Scott PJH; Koeppe R; Spadoni G; Bedini A; Rudko DA; Gobbi G; Benkelfat C; Rosa-Neto P; Brooks AF; Kostikov A; | 35420022 PERFORM |
| 8 | 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 |
| 9 | COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans | Heidarian S; Afshar P; Enshaei N; Naderkhani F; Rafiee MJ; Babaki Fard F; Samimi K; Atashzar SF; Oikonomou A; Plataniotis KN; Mohammadi A; | 34113843 ENCS |
| 10 | Topographical distribution of Aβ predicts progression to dementia in Aβ positive mild cognitive impairment | Pascoal TA, Therriault J, Mathotaarachchi S, Kang MS, Shin M, Benedet AL, Chamoun M, Tissot C, Lussier F, Mohaddes S, Soucy JP, Massarweh G, Gauthier S, Rosa-Neto P, | 32582834 PERFORM |
| 11 | Chronic Neuroleptic-Induced Parkinsonism Examined with Positron Emission Tomography. | Galoppin M, Berroir P, Soucy JP, Suzuki Y, Lavigne GJ, Gagnon JF, Montplaisir JY, Stip E, Blanchet PJ | 32353194 PERFORM |
| 12 | Development of "[11C]kits" for a fast, efficient and reliable production of carbon-11 labeled radiopharmaceuticals for Positron Emission Tomography. | Jolly D, Hopewell R, Kovacevic M, Li QY, Soucy JP, Kostikov A | 28038410 PERFORM |
| 13 | Visualization of SNARE-Mediated Organelle Membrane Hemifusion by Electron Microscopy. | Mattie S, Kazmirchuk T, Mui J, Vali H, Brett CL | 30317518 BIOLOGY |
| 14 | Brain perfusion during rapid-eye-movement sleep successfully identifies amnestic mild cognitive impairment. | Brayet P, Petit D, Baril AA, Gosselin N, Gagnon JF, Soucy JP, Gauthier S, Kergoat MJ, Carrier J, Rouleau I, Montplaisir J | 28522082 PERFORM |
| 15 | Optimal positioning of optodes on the scalp for personalized functional near-infrared spectroscopy investigations. | Machado A, Cai Z, Pellegrino G, Marcotte O, Vincent T, Lina JM, Kobayashi E, Grova C | 30107210 PERFORM |
| 16 | Metabotropic Glutamate Receptor Type 5 (mGluR5) Cortical Abnormalities in Focal Cortical Dysplasia Identified In Vivo With [11C]ABP688 Positron-Emission Tomography (PET) Imaging. | DuBois JM, Rousset OG, Guiot MC, Hall JA, Reader AJ, Soucy JP, Rosa-Neto P, Kobayashi E | 27578494 PERFORM |
| 17 | Altered Regional Cerebral Blood Flow in Idiopathic Hypersomnia. | Boucetta S, Montplaisir J, Zadra A, Lachapelle F, Soucy JP, Gravel P, Dang-Vu TT | 28958044 PERFORM |
| 18 | Impaired sensorimotor processing during complex gait precedes behavioral changes in middle-aged adults. | Mitchell T, Starrs F, Soucy JP, Thiel A, Paquette C | 30247510 PERFORM |
| 19 | Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system. | Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M | 30800320 PERFORM |
| Title: | Sleep neuroimaging: Review and future directions | ||||
| Authors: | 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 | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/39940102/ | ||||
| DOI: | 10.1111/jsr.14462 | ||||
| Publication: | Journal of sleep research | ||||
| Keywords: | functional connectivity; functional magnetic resonance imaging; neuroimaging; positron emission tomography; regional cerebral blood flow; sleep; | ||||
| PMID: | 39940102 | Category: | Date Added: | 2025-02-13 | |
| Dept Affiliation: |
HKAP
1 Donders Institute of Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands. 2 Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China. 3 School of Information Science and Technology & Human Phenome Institute, Fudan University, Shanghai, China. 4 School of Health and Engineering, University of Shanghai for Science and Technology, Shanghai, China. 5 Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, UK. 6 Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA. 7 Center for Systems Neuroscience, Boston University, Boston, Massachusetts, USA. 8 Department of Health, Kinesiology and Applied Physiology, Concordia University & Centre de recherche de l'Institut universitaire de gériatrie de Montréal (CRIUGM), Montreal, Quebec, Canada. 9 Max Planck Institute of Psychiatry, Munich, Germany. 10 Advanced Magnetic Resonance Imaging Section, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA. 11 Advanced MRI Section, Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA. 12 UR2NF - Neuropsychology and Functional Neuroimaging Research Unit at CRCN - Centre de Recherches Cognition et Neurosciences, and UNI - ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium. 13 Departamento de Física, Universidad de Buenos Aires and Instituto de Física de Buenos Aires, Buenos Aires, Argentina. 14 Latin American Brain Health Institute, Universidad Adolfo Ibanez, Santiago, Chile. |
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Description: |
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 neuroimaging techniques have been applied to uncover the brain organization and functional connectivity of human sleep with greater spatial resolution. The combination of electroencephalography with different neuroimaging modalities such as positron emission tomography, structural magnetic resonance imaging and functional magnetic resonance imaging imposes several challenges for sleep studies, for instance, the need to combine polysomnographic recordings to assess sleep stages accurately, difficulties maintaining and consolidating sleep in an unfamiliar and restricted environment, scanner-induced distortions with physiological artefacts that may contaminate polysomnography recordings, and the necessity to account for all physiological changes throughout the sleep cycles to ensure better data interpretability. Here, we review the field of sleep neuroimaging in healthy non-sleep-deprived populations, from early findings to more recent developments. Additionally, we discuss the challenges of applying concurrent electroencephalography and imaging techniques to sleep, which consequently have impacted the sample size and generalizability of studies, and possible future directions for the field. |



