<div dir="ltr">Dear SfNIRS members,<br><br>I just want to let you know that there is a free resource for fNIRS researchers from Stork: it will summarize the latest research in fNIRS and send users a brief weekly. Here is the link: <a href="https://www.storkapp.me/readingguide/">https://www.storkapp.me/readingguide/</a><br><br>Below is a sample from last week's brief:<div><br></div><div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><span style="font-family:Arial,sans-serif">Functional near-infrared spectroscopy (fNIRS) is emerging as a valuable tool for diagnosing and assessing cognitive impairments. In a systematic review published in </span><em style="font-family:Arial,sans-serif">Alzheimers Dement</em><span style="font-family:Arial,sans-serif">, </span><a href="https://www.storkapp.me/pubpaper/41059738" target="_blank" style="font-family:Arial,sans-serif">David Simpong</a><span style="font-family:Arial,sans-serif"> from the University of Cape Coast, Ghana, and colleagues highlighted that fNIRS can effectively detect reduced prefrontal connectivity in mild cognitive impairment (MCI) and Alzheimer's disease, making it a promising diagnostic tool, especially in resource-limited settings. Complementing this, research in </span><em style="font-family:Arial,sans-serif">Geroscience</em><span style="font-family:Arial,sans-serif"> by </span><a href="https://www.storkapp.me/pubpaper/41076505" target="_blank" style="font-family:Arial,sans-serif">Zheng Li</a><span style="font-family:Arial,sans-serif"> and his team at the Chinese Academy of Medical Sciences & Peking Union Medical College demonstrated that fNIRS combined with machine learning can objectively classify cognitive reserve levels in older adults, offering a scalable method for early risk stratification. Similarly, a study in </span><em style="font-family:Arial,sans-serif">Frontiers in Psychiatry</em><span style="font-family:Arial,sans-serif"> led by </span><a href="https://www.storkapp.me/pubpaper/41058641" target="_blank" style="font-family:Arial,sans-serif">Yonggang Mu</a><span style="font-family:Arial,sans-serif"> from Shanghai Jiao Tong University School of Medicine found that fNIRS can serve as a candidate biomarker to differentiate individuals with stable schizophrenia by measuring reduced brain activation in the frontotemporal cortex during verbal fluency tasks.</span></blockquote><br>Disclaimer: I am also a developer of Stork.<br><br>Best,<br>Xu<div><br></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr">----------------------------------------------------------------<br>Xu Cui, Ph.D<br>Department of Psychiatry and Behavioral Sciences<br>Stanford University<br>Blog: <a href="http://www.alivelearn.net" target="_blank">http://www.alivelearn.net</a><div>Profile: <a href="http://www.linkedin.com/in/cuixu" target="_blank">http://www.linkedin.com/in/cuixu</a><br>----------------------------------------------------------------</div><div><br></div></div></div></div></div></div></div></div>