共 47 条
Replicability of a resting-state functional connectivity study in profound early blindness
被引:0
作者:
Nadvar, Negin
[1
,2
]
Bauer, Corinna
[2
,3
]
Pamir, Zahide
[4
,5
]
Merabet, Lotfi B.
[3
]
Koppelmans, Vincent
[6
,7
]
Weiland, James
[1
,8
,9
]
机构:
[1] Univ Michigan, Dept Biomed Engn, Ann Arbor, MI 48109 USA
[2] Harvard Med Sch, Massachusetts Gen Hosp, Dept Radiol, Lab Neuroimaging & Vis Sci, Boston, MA USA
[3] Harvard Med Sch, Dept Ophthalmol, Lab Visual Neuroplast, Massachusetts Eye & Ear, Boston, MA USA
[4] Bilkent Univ, Dept Psychol, Ankara, Turkiye
[5] Bilkent Univ, Aysel Sabuncu Brain Res Ctr, Dept Neurosci, Ankara, Turkiye
[6] Univ Utah, Dept Psychiat, Salt Lake City, UT 84112 USA
[7] Univ Utah, Huntsman Mental Hlth Inst, Salt Lake City, UT 84112 USA
[8] Univ Michigan, Dept Ophthalmol & Visual Sci, Ann Arbor, MI 48109 USA
[9] Univ Michigan, Biointerfaces Inst, Ann Arbor, MI 48109 USA
关键词:
ocular blindness;
resting-state functional connectivity;
fMRI;
whole-brain connectivity;
replication studies;
FMRI;
REGISTRATION;
CORTEX;
ROBUST;
OPTIMIZATION;
RESOLUTION;
NETWORKS;
ACCURATE;
FAILURE;
NOISE;
D O I:
10.3389/fnsys.2025.1547276
中图分类号:
Q189 [神经科学];
学科分类号:
071006 ;
摘要:
It has been shown that the choice of preprocessing pipelines to remove contamination from functional magnetic resonance images can significantly impact the results, particularly in resting-state functional connectivity (rsFC) studies. This underscores the critical importance of replication studies with different preprocessing methodologies. In this study, we attempted to reproduce the rsFC results presented in an original study by Bauer et al. in 2017 on a group of sighted control (SC) and early blind (EB) subjects. By using the original dataset, we utilized another widely used software package to investigate how applying different implementations of the original pipeline (RMin model) or a more rigorous and extensive preprocessing stream (RExt model) can alter the whole-brain rsFC results. Our replication study was not able to fully reproduce the findings of the original paper. Overall, RExt shifted the distribution of rsFC values and reduced functional network density more drastically compared with RMin and the original pipeline. Remarkably, the largest rsFC effects appeared to primarily belong to certain connection pairs, irrespective of the pipeline used, likely demonstrating immunity of the larger effects and the true results against suboptimal processing. This may highlight the significance of results verification across different computational streams in pursuit of the true findings.
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