The reviewer, a neuroscientist in Germany, was confused. The manuscript on her screen, describing efforts to model a thin layer of gray matter in the brain called the indusium griseum, seemed oddly devoid of gist. The figures in the single-authored article made little sense, the MATLAB functions provided were irrelevant, the discussion failed to engage with the results and felt more like a review of the literature.
And, the reviewer wondered, was the resolution of the publicly available MRI data the manuscript purported to analyze sufficient to visualize the delicate anatomical structure in the first place? She turned to a colleague who sat in the same office. An expert in analyzing brain images, he confirmed her suspicion: The resolution was too low. (Both researchers spoke to us on condition of anonymity.)
The reviewer suggested rejecting the manuscript, which had been submitted to Springer Nature’s Brain Topography. But in November, just a few weeks later, the colleague she had consulted received an invitation to review the same paper, this time for Scientific Reports. He accepted out of curiosity. A figure supposed to depict the indusium griseum but showing a simple sine wave baffled him. “You look at that and think, well, this is not looking like an anatomical structure,” he told us.
Continue reading Technobabble papers by professor and editor under scrutiny
