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SUMMARY:Neuroimaging data analysis (GBIO0034)
DTSTART;VALUE=DATE-TIME:20261102T130000Z
DTEND;VALUE=DATE-TIME:20261207T170000Z
DTSTAMP;VALUE=DATE-TIME:20260512T111029Z
UID:indico-event-669@indico.giga.uliege.be
DESCRIPTION:This Indico event describes the content and planning for the c
 ourse "Neuroimaging data analysis" (GBIO0034)\, formerly known as "Introd
 uction to medical statistics" (STAT0722). The program is very similar but 
 might be slightly updated from one year to the next\, especially the later
  classes...\n\nThe course content is focused on the SPM software and its a
 pplication to analyse neuroimaging data. The course will be illustrated wi
 th some example of data processing using the demo data from SPM. The mate
 rial from last year's is still available\; moreover the course in 2020 
 was taught online and the video recording are an excellent source of info
 rmation. Not to be missed either\,\n\n\n	the slides and videos from past 
 official SPM courses in London are all accessible online!\n	there is also 
 Joseph Devlin's great series of short lectures on YouTube\, entitled "Desi
 gning and Analysing fMRI Experiments".\n\n\nFinally the SPM documentation 
 has been refreshed and is now also available in a friendly online format\,
  this includes tutorials for all the demo datasets.\n\nClass room & timeta
 ble\n\nSix classes are planned\, on Mondaysdays from 14h till 17h with a m
 id-break. Those will take place in the "large meeting" room\, aka. "Fluor
 " at the Cyclotron Research Centre\, B30\, on November 2\, 9\, 16\, 23 & 
 30 and December 7\, as described here under. The course might also be broa
 dcasted via Teams too but no guarantee about technical hickups! The exact
  program might be slightly adjusted.\n\nEvaluation\n\nThis will consist i
 n\n\n\n	the oral presentation (~20min) of a peer-reviewed article in the f
 ield of neuroimaging.\n	the focus should be on the methodological aspects 
 and data processing overall.\n\n\nStudents are free to choose an article t
 hey find interesting but it should still be approved by C. Phillips.\n\nPo
 tential journals:\n\n\n	Neuroimage\, \n	Human Brain Mapping\, \n	Frontie
 rs in Brain Imaging Methods\, \n	Imaging Neuroscience\, \n	Aperture Neur
 o\,\n	...\n\n\nPotential papers\, for 2025-2026 academic year (updated fr
 om the 2024-2025 list):\n\n\n	Váša et al. Ultra-low-field brain MRI mor
 phometry: Test–retest reliability and correspondence to high-field MRI.
  Imaging Neuroscience 2025\, https://doi.org/10.1162/IMAG.a.930\n	\n	For
 tin et al. GOUHFI: A novel contrast- and resolution-agnostic segmentation
  tool for ultra-high-field MRI. Imaging Neuroscience 2025\, https://doi.
 org/10.1162/IMAG.a.960\n	\n	\n	Wunderlich et al. Denoising strategies of 
 functional connectivity MRI data in lesional and non-lesional brain diseas
 es. Imaging Neuroscience 2025\, https://doi.org/10.1162/IMAG.a.968\n	\n	
 \n	He et al. Common pitfalls during model specification in psychophysiolog
 ical interaction analysis. Imaging Neuroscience 2025\, https://doi.org/1
 0.1162/IMAG.a.989 \n	\n	\n	Peterson et al. Regularized partial correlati
 on provides reliable functional connectivity estimates while correcting fo
 r widespread confounding. Imaging Neuroscience 2025\, https://doi.org/10
 .1162/IMAG.a.162\n	\n	\n	Giubergia et al. Multi-echo versus single-echo E
 PI sequences for task-fMRI: A comparative study. Imaging Neuroscience 202
 5\, https://doi.org/10.1162/IMAG.a.94\n	\n	\n	Shin et al. Estimation and
  Removal of Residual Motion Artifact in Retrospectively Motion-Corrected f
 MRI Data: A Comparison of Intervolume and Intravolume Motion Using Gold St
 andard Simulated Motion Data. Aperture Neuro\, 2024. https://doi.org/10.5
 2294/001c.123369\n	\n	\n	Adame-Gonzalez et al. FONDUE: Robust resolution-
 invariant denoising of MR images using Nested UNets. Imaging Neuroscience\
 , 2024. https://doi.org/10.1162/imag_a_00374\n	\n	\n	Esteban et al. MRIQ
 C: Advancing the automatic prediction of image quality in MRI from unseen 
 sites. PLOS ONE 2017\, https://doi.org/10.1371/journal.pone.0184661\n	\n	
 \n	Huber et al. Evaluating the capabilities and challenges of layer-fMRI 
 VASO at 3T. Aperture Neuro 2023\, https://doi.org/10.52294/001c.85117\n	\
 n	 \n\n\nDate\, time & place:\n\n\n	TBD.\n	at the  CRC (B30)\, large mee
 ting room.\n\n\nhttps://indico.giga.uliege.be/event/669/
LOCATION:CRC B-30/0-000 - FLUOR (Big meeting room)
URL:https://indico.giga.uliege.be/event/669/
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