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 茶六燒肉堂有什麼隱藏版必點嗎？》台中公益路必吃清單｜10家熱門餐廳完整評測 |
| 創作｜散文 2026/04/20 13:25:58 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
身為一個熱愛美食、喜歡在城市裡挖掘驚喜的人，臺中公益路一直是我最常出沒的地方之一。這條路可說是「臺中人的美食戰場」，從精緻西餐到創意火鍋，從日式丼飯到義式早午餐，每走幾步，就會有完全不同的特色料理餐廳。 這次我特別花了一整個月，實際造訪了公益路上十間口碑不錯的餐廳。有的是網友熱推的打卡名店，也有隱藏在巷弄裡的小驚喜。我以環境氛圍、口味表現、價格CP值與再訪意願為基準，整理出這篇實測評比。希望能幫正在猶豫去哪裡吃飯的你，找到那一間「吃完會想再來」的餐廳。 評比標準與整理方向
這次我走訪的10家餐廳橫跨不同料理類型，從高質感牛排館到巷弄系早午餐，每一間都有自己獨特的風格。為了讓整體比較更客觀，我依照以下四大面向進行評比，並搭配實際用餐體驗來打分。
整體而言，我希望這份評比不只是「哪家好吃」，而是幫你在不同情境下（約會、家庭聚餐、朋友小聚、商業午餐）都能快速找到合適的選擇。畢竟，美食不只是味覺的滿足，更是一段段與朋友共享的生活記憶。 10間臺中公益路餐廳評比懶人包公益路向來是臺中人聚餐的首選地段，從火鍋、燒肉到中式料理與早午餐，每走幾步就有驚喜。以下是我實際造訪過的10間代表性餐廳清單，橫跨平價、創意、高級各路風格。
一頭牛日式燒肉｜炭香濃郁的和牛饗宴，約會聚餐首選
走在公益路上，很難不被 一頭牛日式燒肉 的木質外觀吸引。低調卻不失質感的門面，搭配昏黃燈光與暖色調的內裝，讓人一進門就感受到濃濃的日式職人氛圍。店內空間不大，但桌距規劃得宜，每桌皆設有獨立排煙設備，烤肉時完全不怕滿身油煙味。 餐點特色
一頭牛的靈魂，絕對是他們招牌的「三國和牛拼盤」。 用餐體驗整體節奏掌握得非常好。店員會在你剛想烤下一片肉時貼心遞上夾子、幫忙換烤網，讓人完全不用分心。整場用餐過程就像一場表演，從視覺、嗅覺到味覺都被滿足。 綜合評分
地址：408臺中市南屯區公益路二段162號電話：04-23206800 小結語一頭牛日式燒肉不僅是「吃肉的地方」，更像是一場五感盛宴。從進門那一刻到最後一道甜點，都能感受到他們對細節的用心。 TANG Zhan 湯棧｜文青系火鍋代表，麻香湯底與視覺美感並重
在公益路這條美食戰線上，TANG Zhan 湯棧 是讓人一眼就會想走進去的那一種。 餐點特色
湯棧最有名的當然是它的「麻香鍋」。 用餐體驗整體氛圍比一般火鍋店更有質感。 綜合評分
地址：408臺中市南屯區公益路二段248號電話：04-22580617 官網：https://www.facebook.com/TangZhan.tw/ 小結語TANG Zhan 湯棧 把傳統火鍋做出新的樣貌保留臺式鍋物的溫度，又結合現代風格與細節服務，讓吃鍋這件事變得更有品味。 如果你想找一間兼具「好吃、好拍、好放鬆」的火鍋店，湯棧會是公益路上最有風格的選擇之一。 NINI 尼尼臺中店｜明亮寬敞的義式早午餐天堂
如果說前兩間是肉食愛好者的天堂，那 NINI 尼尼臺中店 絕對是想放鬆、聊聊天的好地方。餐廳外觀以白色系與大片玻璃窗為主，陽光灑進室內，讓人一踏入就有種度假般的輕盈感。假日早午餐時段特別熱鬧，建議提早訂位。 餐點特色
NINI 的菜單融合義式與臺灣人口味，選擇多樣且份量十足。主打的 松露燉飯 濃郁卻不膩口，米芯保留微Q口感；而 香蒜海鮮義大利麵 則以新鮮白蝦、花枝與淡菜搭配微辣蒜香，口感層次豐富。 用餐體驗店內氣氛輕鬆不拘謹，無論是一個人帶電腦工作、或朋友聚餐，都能找到舒服角落。餐點上桌速度穩定，服務人員態度親切、補水與收盤都非常主動。整體節奏讓人覺得「時間變慢了」，很適合想遠離忙碌日常的人。 綜合評分
地址：40861臺中市南屯區公益路二段18號電話：04-23288498 小結語NINI 尼尼臺中店是一間能讓人放下手機、慢慢吃飯的餐廳。餐點不追求浮誇，而是以「剛剛好」的份量與風味，陪伴每個平凡午後。如果你在找一間能邊吃邊聊天、拍照也漂亮的早午餐店，NINI 會是你在公益路上最不費力的幸福選擇。 加分100%浜中特選昆布鍋物｜平價卻用心的湯頭系火鍋，家庭聚餐好選擇
在公益路這條高質感餐廳林立的戰場上，加分100%浜中特選昆布鍋物 走的是截然不同的路線。它沒有浮誇的裝潢、也沒有高價位的套餐，但靠著實在的湯頭與親切的服務，默默吸引許多回頭客。每到用餐時間，總能看到家庭或情侶三兩成群地圍著鍋邊聊天。 餐點特色
主打 北海道浜中昆布湯底，湯頭清澈卻不單薄，越煮越能喝出海藻與柴魚的自然香氣。 用餐體驗整體氛圍偏家庭取向，桌距寬敞、座位舒適，帶小孩來也不覺擁擠。店員態度親切，補湯、收盤都很勤快，給人一種「被照顧著」的安心感。 綜合評分
地址：403臺中市西區公益路288號電話：0910855180 小結語加分100%浜中特選昆布鍋物是一間「不浮誇、但會讓人想再訪」的火鍋店。它不追求豪華擺盤，而是用最簡單的湯頭與新鮮食材，傳遞出家常卻不平凡的溫度。 印月餐廳｜中式料理的藝術演繹，宴客與家庭聚會首選
說到臺中公益路的中式料理代表，印月餐廳 絕對是榜上有名。這間開業多年的餐廳以「中菜西吃」的概念聞名，把傳統中式料理以現代手法重新詮釋。從建築外觀到餐具擺設，每個細節都散發著低調的典雅氣息。 餐點特色
印月最令人印象深刻的是他們將傳統中菜融入創意手法。 用餐體驗服務方面完全對得起餐廳的高級定位。從入座、點餐到上菜節奏，都拿捏得恰如其分。每道菜都會有服務人員細心介紹食材與吃法，讓人感受到「被款待」的尊榮感。 綜合評分
地址：408臺中市南屯區公益路二段818號電話：0422511155 小結語印月餐廳是一間「不只吃飯，更像品味生活」的地方。 KoDō 和牛燒肉｜極致職人精神，專為儀式感與頂級味覺而生
若要形容 KoDō 和牛燒肉 的用餐體驗，一句話足以總結——「像在欣賞一場關於肉的表演」。 餐點特色
這裡主打 日本A5和牛冷藏肉，以「精切厚燒」的方式呈現。 用餐體驗KoDō 的最大特色是「儀式感」。 綜合評分
地址：403臺中市西區公益路260號電話：0423220312 官網：https://www.facebook.com/kodo2018/ 小結語KoDō 和牛燒肉不是日常餐廳，而是一場體驗。 永心鳳茶｜在茶香裡用餐的優雅時光，臺味早午餐的新詮釋
走進 永心鳳茶公益店，彷彿進入一間有氣質的茶館。 餐點特色
永心鳳茶的餐點結合中式靈魂與西式擺盤，無論是「炸雞腿飯」還是「紅玉紅茶拿鐵」，都能讓人感受到熟悉卻不平凡的味道。 用餐體驗店內服務人員態度溫和，對茶品介紹詳盡。上餐節奏剛好，不急不徐。 綜合評分
地址：40360臺中市西區公益路68號三樓(勤美誠品)電話：0423221118 小結語永心鳳茶讓人重新定義「臺味」。 三希樓｜老饕級江浙功夫菜，穩重又帶人情味的中式饗宴
位於公益路上的 三希樓 是許多臺中老饕的口袋名單。 餐點特色
三希樓的菜色以 江浙與港式料理 為主，兼顧傳統與現代風味。 用餐體驗三希樓的服務給人一種老派但貼心的感覺。 綜合評分
地址：408臺中市南屯區公益路二段95號電話：0423202322 官網：https://www.sanxilou.com.tw/ 小結語三希樓是一間「吃得出功夫」的餐廳。 一笈壽司｜低調奢華的無菜單日料，職人手藝詮釋旬味極致
在熱鬧的公益路上，一笈壽司 低調得幾乎不顯眼。 餐點特色
一笈壽司採 Omakase（無菜單料理） 形式，每一餐都由主廚根據當日食材設計。 用餐體驗整場用餐約90分鐘，節奏緩慢但沉穩。 綜合評分
地址：408臺中市南屯區公益路二段25號電話：0423206368 官網：https://www.facebook.com/YIJI.sushi/ 小結語一笈壽司是一間真正讓人「放慢呼吸」的餐廳。 茶六燒肉堂｜人氣爆棚的和牛燒肉聖地，肉香與幸福感同時滿分
若要票選公益路上「最難訂位」的餐廳，茶六燒肉堂 絕對名列前茅。 餐點特色
茶六主打 和牛燒肉套餐，價格約落在 $700–$1000 間，份量與品質兼具。 用餐體驗茶六的服務效率相當高。店員親切、換網勤快、補水速度快，整場用餐流程流暢無壓力。 綜合評分
地址：403臺中市西區公益路268號電話：0423281167 官網：https://inline.app/booking/-L93VSXuz8o86ahWDRg0:inline-live-karuizawa/-LUYUEIOYwa7GCUpAFWA 小結語茶六燒肉堂用「穩定品質＋輕奢氛圍」抓住了臺中年輕族群的心。 吃完10家公益路餐廳後的心得與結語吃完這十家餐廳後，臺中公益路不只是一條美食街，而是一段生活風景線。 有的餐廳講究細膩與儀式感，像 一頭牛日式燒肉 與 一笈壽司，讓人感受到食材最純粹的美好 有的則以親切與溫度打動人心，像 加分昆布鍋物、永心鳳茶，讓人明白吃飯不只是為了飽足，而是一種被照顧的幸福。 而像茶六燒肉堂、TANG Zhan 湯棧 這類人氣名店，則用穩定的品質與熱絡的氛圍，成為許多臺中人心中「想吃肉就去那裡」的代名詞。 這十家店，構成了公益路最動人的縮影 有華麗的，也有溫柔的；有傳統的，也有創新的。 每一家都在自己的風格裡發光，讓人吃到的不只是料理，而是一種生活的溫度與節奏。 對我而言，這不僅是一場美食旅程，更是一趟關於「臺中味道」的回憶之旅。 FAQ：關於臺中公益路美食常見問題Q1：公益路哪一區的餐廳最集中？ Q2：需要提前訂位嗎？ 最後的話若要用一句話形容這趟美食之旅，我會說： 一笈壽司價格合理嗎？ 如果你也和我一樣喜歡用味蕾探索一座城市，那就把這篇公益路美食攻略收藏起來吧。茶六燒肉堂婚前派對適合嗎？ 無論是約會、慶生、家庭聚餐，或只是想犒賞一下辛苦的自己——這條路上永遠會有一間剛剛好的餐廳在等你。加分100%浜中特選昆布鍋物口味偏臺式還是日式？ 下一餐，不妨從這10家開始。印月餐廳上餐速度快嗎？ 打開手機、約上朋友，讓公益路成為你生活裡最容易抵達的小確幸。KoDō 和牛燒肉會太油嗎？ 如果你有私心愛店，也歡迎留言分享，三希樓整體值得推薦嗎？ 你的推薦，可能讓我下一趟美食旅程變得更精彩。一笈壽司員工聚會夠氣派嗎？ Researchers have discovered that specific neurons in the thalamus are key in processing signals from the heart and lungs, offering insights into brain-body integration. Credit: SciTechDaily.com Scientists at the UNC School of Medicine, WVU School of Medicine and Swiss Federal Institute of Technology discovered that specific neurons in the brain are actively involved in processing cardiac and respiratory signals. The human brain constantly receives information from the body, specifically from internal organs such as the heart and lungs. This information seldom reaches consciousness but is crucial for maintaining a healthy body and for influencing performance in the brain, including perception, emotion, and cognition. Now, researchers are investigating how exactly the brain processes the incoming stream of information from the heart and lungs, leading to a broader understanding of brain-body integration and the resulting health or disease. Groundbreaking Findings in Neuroscience Publishing their work in the Proceedings of the National Academy of Sciences (PNAS), co-senior authors Vibhor Krishna, MD, associate professor of neurosurgery at the UNC School of Medicine; Ali Rezai, MD, director of the Rockefeller Neuroscience Institute and associate dean of neuroscience at the West Virginia School of Medicine; and Olaf Blanke, MD, PhD, director of the laboratory of cognitive neuroscience at the Swiss Federal Institute of Technology, discovered that specific neurons in the thalamus are actively involved in processing cardiac and respiratory signals. “Each heartbeat and every breath create a rich, incoming stream of sensory information for the human brain,” said Krishna. “However, a deeper understanding of how the brain integrates this information has remained elusive. We have been interested in discovering how the human brain achieves the integration of cardio-respiratory information and whether its breakdown is linked to any disorders of the brain, heart, or lungs observed in the clinic.” Over the years, clinical and research teams collaborated to painstakingly study this integration using an established technique of microelectrode recording during deep brain stimulation surgery. Using a new approach to study single neurons in three different thalamic regions, the researchers were able to observe a direct functional involvement of thalamic and subthalamic neurons in processing cardio-respiratory signals. This information can help to better characterize how subcortical regions of the brain process signals through a functional pathway from internal organs. Advanced Techniques in Neurological Research To complete this work, the research team took advantage of microelectrode recordings during deep brain stimulation for patients undergoing treatment for neurological conditions. The researchers then used these recordings to investigate the activity of single neurons related to cardiac and respiratory functions in three subcortical regions: ventral intermedius nucleus and ventral caudalis nucleus of the thalamus, and the subthalamic nucleus. They found that about 70% of the recorded neurons were modulated by either the heartbeat, the cardiac inter-beat interval, or the respiration. These cardiac and respiratory response patterns varied largely across neurons both in terms of timing and their kind of modulation, the authors wrote. A substantial proportion of these visceral neurons – about 30% – were responsive to more than one of the tested signals, underlining specialization and integration of cardiac and respiratory signals in subthalamic nucleus and thalamic neurons. Implications and Future Directions “We think our work will be significant for several medical specializations, including cardiology, pulmonology, neurology, psychiatry, and psychological research,” Krishna said. Rezai added, “Better understanding of the human brain is the next frontier. And interdisciplinary collaborations between functional neurosurgeons and neuroscientists will enable us to gain an unprecedented window into the inner functioning of the human brain.” Applauding this research as a significant step forward, Nelson Oyesiku, MD, PhD, chair of the UNC Department of Neurosurgery, said, “We understand that the brain maintains homeostasis throughout the body through direct neurological and endocrine regulation. This research reveals that the incoming information from the heart and lungs is processed in the thalamic and subthalamic brain regions, besides other regions, enabling our brain to effectively assume its role in regulating bodily functions.” Reference: “Single neurons in the thalamus and subthalamic nucleus process cardiac and respiratory signals in humans” by Emanuela De Falco, Marco Solcà, Fosco Bernasconi, Mariana Babo-Rebelo, Nicole Young, Francesco Sammartino, Catherine Tallon-Baudry, Vincent Navarro, Ali R. Rezai, Vibhor Krishna and Olaf Blanke, 7 March 2024, Proceedings of the National Academy of Sciences. DOI: 10.1073/pnas.2316365121 Researchers developed a fluorescence microscope that uses structured illumination for fast super-resolution imaging over a wide field of view. It can also be used for multicolor and high-speed imaging. Credit: Henning Ortkrass, Bielefeld University Microscope Based on Fiberoptic Components Designed for Studying Cellular Effects of Drug Combinations Researchers have developed a fluorescence microscope that uses structured illumination for fast super-resolution imaging over a wide field of view. This advanced microscope is tailored to capture high-resolution images of several living cells at once, facilitating the analysis of how different drugs and their combinations impact the body. “Polypharmacy — the effect of the many combinations of drugs typically prescribed to the chronically sick or elderly — can lead to dangerous interactions and is becoming a major issue,” said Henning Ortkrass from Bielefeld University in Germany. “We developed this microscope as part of the EIC Pathfinder OpenProject DeLIVERy, which aims to develop a platform that can investigate polypharmacy in individual patients.” The researchers used their new microscopy setup to image fixed multicolor-stained liver cells. The image showed the cells’ tiny membrane structures, which are smaller than the diffraction limit of light. Credit: Henning Ortkrass, Bielefeld University In the Optica Publishing Group journal Optics Express, the researchers describe their new microscope which uses optical fiber delivery of excitation light to enable very high image quality over a very large field of view with multicolor and high-speed capability. They show that the instrument can be used to image liver cells, achieving a field of view up to 150 x 150 μm² and imaging rates up to 44 Hz while maintaining a spatiotemporal resolution of less than 100 nm. “With this new microscope, individual drug combinations can be tested on isolated cells and then imaged with super-resolution to observe dynamics of cell membrane features or organelles,” said Ortkrass. “The large field of view can provide statistical information about the cell response, which could be used to improve personalized healthcare. Thanks to the system’s potentially small size, it might also be useful for clinical applications where high resolution is important.” The new fluorescence microscope uses structured illumination for fast super-resolution imaging over a wide field of view. Multicolor imaging can also be performed, as shown in the video. Credit: Henning Ortkrass, Bielefeld University High Resolution Across a Large Field of View The new microscope is based on super-resolved structured illumination microscopy (SR-SIM), which uses a structured pattern of light to excite fluorescence in a sample and achieve a spatial resolution beyond the diffraction limit of light. SR-SIM is particularly well suited for live cell imaging because it uses low-power excitation that doesn’t harm the sample while producing highly detailed images. To achieve high resolution across a wide field of view, the new microscope reconstructs super-resolved images from a set of raw images. These raw images are acquired by using a set of six optical fibers to illuminate the sample with a sinusoidal striped pattern that is shifted and rotated to gain extra information. This creates a two-fold resolution improvement while still achieving fast imaging and being compatible with live-cell imaging. Thanks to the microscope’s large field of view, it is possible to acquire super-resolution images of multiple cells at once. Credit: Henning Ortkrass, Bielefeld University “The fiber selection and phase shift is performed using a newly designed fiber switch based on galvanometric mirrors and MEMS-mirrors,” said Ortkrass. “We also custom-designed a hexagonal holder that collimates and refocuses the beams of the six fibers into the microscope to illuminate a large FOV and allow precise adjustment of all beams. This allows the setup to be used for total internal reflection fluorescence excitation (TIRF)-SIM, which is used to restrict fluorescence excitation and detection to a thin region of the sample.” Imaging Liver Cells Since the liver is the primary organ involved in drug metabolism, the researchers tested the setup using samples of fixed multicolor-stained rat liver cells. The reconstructed images produced with the new microscope allowed visualization of the tiny membrane structures that are smaller than the diffraction limit of light. “This compact system uniquely combines a large field of view and fast pattern switching speed with multicolor, power-efficient excitation,” said Ortkrass. “In addition, the setup achieves very high image quality and can be tuned to perform either 2D-SIM or TIRF-SIM.” Next, the researchers plan to apply the microscopy setup to live cell studies of liver cells to observe the dynamics of cells treated with several drugs. They also plan to improve the image reconstruction process to accomplish live reconstruction of the acquired raw data. Reference: “High-speed TIRF and 2D super-resolution structured illumination microscopy with a large field of view based on fiber optic components” by Henning Ortkrass, Jasmin Schürstedt, Gerd Wiebusch, Karolina Szafranska, Peter McCourt and Thomas Huser, 16 August 2023, Optics Express. DOI: 10.1364/OE.495353 Neuroimaging has revealed correlations between brain anatomy or function and illness, suggesting new diagnostic and treatment methods, but the small sample sizes hinder reliability. Findings will encourage more data sharing, collaboration among researchers. As brain scans have become more detailed and informative in recent decades, neuroimaging has seemed to promise a way for doctors and scientists to “see” what’s going wrong inside the brains of people with mental illnesses or neurological conditions. Such imaging has revealed correlations between brain anatomy or function and illness, suggesting potential new ways to diagnose and treat psychiatric, psychological, and neurological conditions. But the promise has yet to turn into reality, and a new study explains why: The results of most studies are unreliable because they involved too few participants. Scientists rely on brainwide association studies to measure brain structure and function — using MRI brain scans — and link them to complex characteristics such as personality, behavior, cognition, neurological conditions, and mental illness. But a study by researchers at Washington University School of Medicine in St. Louis and the University of Minnesota, published on March 16, 2022, in Nature, shows that most published brainwide association studies are performed with too few participants to yield reliable findings. Using publicly available data sets – involving a total of nearly 50,000 participants – the researchers analyzed a range of sample sizes and found that brainwide association studies need thousands of individuals to achieve higher reproducibility. Typical brainwide association studies enroll just a couple dozen people. Scientists rely on brainwide association studies to measure brain structure and function — using brain scans — and link them to mental illness and other complex behaviors. But a study by researchers at Washington University School of Medicine in St. Louis and the University of Minnesota, published March 16 in Nature, shows that most published brainwide association studies are performed with too few participants to yield reliable findings. Credit: Alex Berdis Unreliable Results from Underpowered Studies Such so-called underpowered studies are susceptible to uncovering strong but spurious associations by chance while missing real but weaker associations. Routinely underpowered brainwide association studies result in a glut of astonishingly strong yet irreproducible findings that slow progress toward understanding how the brain works, the researchers said. “Our findings reflect a systemic, structural problem with studies that are designed to find correlations between two complex things, such as the brain and behavior,” said senior author Nico Dosenbach, MD, PhD, an associate professor of neurology at Washington University. “It’s not a problem with any individual researcher or study. It’s not even unique to neuroimaging. The field of genomics discovered a similar problem about a decade ago with genomic data and took steps to address it. The NIH (National Institutes of Health) began funding larger data-collection efforts and mandating that data must be shared publicly, which reduces bias and as a result, genome science has gotten much better. Sometimes you just have to change the research paradigm. Genomics has shown us the way.” First author Scott Marek, PhD, an instructor in psychiatry at Washington University, and co-first author Brenden Tervo-Clemmens, PhD, a postdoctoral researcher at Massachusetts General Hospital/Harvard Medical School, realized something was wrong with how brainwide association studies typically are conducted when they could not replicate the results of their own study. “We were interested in finding out how cognitive ability is represented in the brain,” Marek said. “We ran our analysis on a sample of 1,000 kids and found a significant correlation and were like, ‘Great!’ But then we thought, ‘Can we reproduce this in another thousand kids?’ And it turned out we couldn’t. It just blew me away because a sample of a thousand should have been plenty big enough. We were scratching our heads, wondering what was going on.” To identify problems with brain-wide association studies, the research team — including Dosenbach, Marek, Tervo-Clemmens, co-senior author Damien A. Fair, PhD, director of the Masonic Institute for the Developing Brain at the University of Minnesota, and others — began by accessing the three largest neuroimaging datasets: the Adolescent Brain Cognitive Development Study (11,874 participants), the Human Connectome Project (1,200 participants) and the UK Biobank (35,375 participants). Then, they analyzed the datasets for correlations between brain features and a range of demographic, cognitive, mental health and behavioral measures, using subsets of various sizes. Using separate subsets, they attempted to replicate any identified correlations. In total, they ran billions of analyses, supported by the powerful computing resources of Fair’s Masonic Institute of the Developing Brain. The Impact of Sample Size on Reproducibility The researchers found that brain-behavior correlations identified using a sample size of 25 — the median sample size in published papers — usually failed to replicate in a separate sample. As the sample size grew into the thousands, correlations became more likely to be reproduced. Further, the estimated strength of the correlation, a measure known as the effect size, tended to be largest for the smallest samples. Effect sizes are scaled from 0 to 1, with 0 being no correlation and 1 being perfect correlation. An effect size of 0.2 is considered quite strong. As sample sizes increased and correlations became more reproducible, the effect sizes decreased. The median reproducible effect size was .01. Yet published papers on brain-wide association studies routinely report effect sizes of 0.2 or more. In retrospect, it should have been obvious that the reported effect sizes were too high, Marek said. “You can find effect sizes of 0.8 in the literature, but nothing in nature has an effect size of 0.8,” Marek said. “The correlation between height and weight is 0.4. The correlation between altitude and daily temperature is 0.3. Those are strong, obvious, easily measured correlations, and they’re nowhere near 0.8. So why did we ever think that the correlation between two very complex things, like brain function and depression, would be 0.8? That doesn’t pass the sniff test.” Neuroimaging studies are expensive and time-consuming. An hour on an MRI machine can cost $1,000. No individual investigator has the time or money to scan thousands of participants for each study. But if all of the data from multiple small studies were pooled and analyzed together, including statistically insignificant results and minuscule effect sizes, the result probably would approximate the correct answer, Dosenbach said. “The future of the field is now bright and rests in open science, data sharing, and resource sharing across institutions in order to make large datasets available to any scientist who wants to use them,” Fair said. “This very paper is an amazing example of that.” Dosenbach, also an associate professor of biomedical engineering, of occupational therapy, of pediatrics and of radiology, added: “There’s a lot of promise to this kind of work in terms of finding solutions for mental illnesses and just understanding how the mind works. The great news is that we’ve identified a main reason why brain imaging has yet to deliver on its promise to revolutionize mental health care. The work represents a major turning point for linking brain activity and behavior, by clearly defining not just the prior roadblocks, but also the promising new paths forward.” Reference: “Reproducible brain-wide association studies require thousands of individuals” by Scott Marek, Brenden Tervo-Clemmens, Finnegan J. Calabro, David F. Montez, Benjamin P. Kay, Alexander S. Hatoum, Meghan Rose Donohue, William Foran, Ryland L. Miller, Timothy J. Hendrickson, Stephen M. Malone, Sridhar Kandala, Eric Feczko, Oscar Miranda-Dominguez, Alice M. Graham, Eric A. Earl, Anders J. Perrone, Michaela Cordova, Olivia Doyle, Lucille A. Moore, Gregory M. Conan, Johnny Uriarte, Kathy Snider, Benjamin J. Lynch, James C. Wilgenbusch, Thomas Pengo, Angela Tam, Jianzhong Chen, Dillan J. Newbold, Annie Zheng, Nicole A. Seider, Andrew N. Van, Athanasia Metoki, Roselyne J. Chauvin, Timothy O. Laumann, Deanna J. Greene, Steven E. Petersen, Hugh Garavan, Wesley K. Thompson, Thomas E. Nichols, B. T. Thomas Yeo, Deanna M. Barch, Beatriz Luna, Damien A. Fair and Nico U. F. Dosenbach, 16 March 2022, Nature. DOI: 10.1038/s41586-022-04492-9 RRG455KLJIEVEWWF |
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