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文章數：50 |
 印月餐廳大型聚餐空間夠不夠？ 》公益路美食最佳選擇｜10家餐廳逐一分析 |
| 休閒生活｜電腦3C 2025/11/18 04:39:45 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 官網：http://www.marihuana.com.tw/yakiniku/index.html 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： 加分100%浜中特選昆布鍋物食材新鮮嗎？ 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。TANG Zhan 湯棧值得專程去嗎？ 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。一頭牛日式燒肉春節期間適合來嗎？ 下一餐，不妨從這10家開始。NINI 尼尼臺中店價格合理嗎？ 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。印月餐廳有什麼隱藏版必點嗎？ 如果你有私心愛店，也歡迎留言分享，永心鳳茶商務聚餐適合嗎？ 你的推薦，可能讓我下一趟美食旅程變得更精彩。KoDō 和牛燒肉值得專程去嗎？ Scientists have discovered that human brain signals form swirling spirals on the outer layer of neural tissue, which play a crucial role in organizing brain activity and cognitive processes. This discovery, based on fMRI scans, could advance our understanding of brain dynamics, potentially leading to better computational models and insights into brain diseases like dementia. The Findings Have the Potential To Advance Both Computing and Understanding of the Brain Scientists from the University of Sydney and Fudan University have found human brain signals traveling across the outer layer of neural tissue that naturally arrange themselves to resemble swirling spirals. Published in the journal Nature Human Behaviour, the study suggests that these widespread spiral patterns, seen during both rest and cognitive activity, play a role in organizing brain function and cognitive processes. Senior author Associate Professor Pulin Gong, from the School of Physics in the Faculty of Science, said the discovery could have the potential to advance powerful computing machines inspired by the intricate workings of the human brain. The discovery opens up new avenues for understanding how the brain works and provides valuable insights into the fundamental functions of the human brain. It could help medical researchers understand the effects of brain diseases, such as dementia, by examining the role they play. Visual re-creation of brain spirals traveling across the cortex. Credit: Gong et al. “Our study suggests that gaining insights into how the spirals are related to cognitive processing could significantly enhance our understanding of the dynamics and functions of the brain,” said Associate Professor Gong, who is a member of the Complex Systems research group in Physics. How Brain Spirals Organize Neural Activity “These spiral patterns exhibit intricate and complex dynamics, moving across the brain’s surface while rotating around central points known as phase singularities “Much like vortices act in turbulence, the spirals engage in intricate interactions, playing a crucial role in organizing the brain’s complex activities. “The intricate interactions among multiple co-existing spirals could allow neural computations to be conducted in a distributed and parallel manner, leading to remarkable computational efficiency.” PhD student Yiben Xu, the lead author of the research from the School of Physics, said the location of the spirals on the cortex could allow them to connect activity in different sections, or networks, of the brain – acting as a bridge of communication. Many of the spirals are large enough to cover multiple networks. Multiple interacting spirals organize brain activity flow. Credit: Gong et al. The cortex of the brain, also known as the cerebral cortex, is the outermost layer of the brain that is responsible for many complex cognitive functions, including perception, memory, attention, language, and consciousness. Spirals as Coordinators of Brain Activity “One key characteristic of these brain spirals is that they often emerge at the boundaries that separate different functional networks in the brain,” Mr. Xu said. “Through their rotational motion, they effectively coordinate the flow of activity between these networks. “In our research, we observed that these interacting brain spirals allow for flexible reconfiguration of brain activity during various tasks involving natural language processing and working memory, which they achieve by changing their rotational directions.” The scientists gathered their findings from functional magnetic resonance imaging (fMRI) brain scans of 100 young adults, which they analyzed by adapting methods used to understand complex wave patterns in turbulence. Neuroscience has traditionally focused on interactions between neurons to understand brain function. There is a growing area of science looking at larger processes within the brain to help us understand its mysteries. “By unraveling the mysteries of brain activity and uncovering the mechanisms governing its coordination, we are moving closer to unlocking the full potential of understanding cognition and brain function,” Associate Professor Gong said. Reference: “Interacting spiral wave patterns underlie complex brain dynamics and are related to cognitive processing” by Yiben Xu, Xian Long, Jianfeng Feng and Pulin Gong, 15 June 2023, Nature Human Behaviour. DOI: 10.1038/s41562-023-01626-5 A small, agile bat species known for its impressive echolocation abilities, Kuhl’s pipistrelle (Pipistrellus kuhlii) weighs just 6 grams and navigates complex environments with ease, making it an ideal subject for studies on sensory navigation. Credit: Jens Rydell Researchers have discovered that Kuhl’s pipistrelle bats can navigate several kilometers using just echolocation. By blindfolding the bats and employing a novel GPS system, the study conducted in Northern Israel revealed that these bats create mental acoustic maps to orient themselves, even without the aid of vision. Bats’ Incredible Navigation Abilities Researchers blindfolded Kuhl’s pipistrelle bats and tracked their movements using innovative GPS technology, discovering that these tiny creatures can navigate over several kilometers relying solely on echolocation. The findings reveal bats’ impressive ability to create and use detailed mental acoustic maps of their environment. Echolocating bats are adept at dodging obstacles and catching small prey with only sound. However, echolocation has a limited range and is highly directional, detecting objects only within a few dozen meters—making it less effective for long-distance navigation compared to senses like vision. Additionally, it remains unclear how well bats can perceive their surroundings in three dimensions or use environmental echoes as stable landmarks. These questions are challenging to explore due to the difficulties of tracking such small, nocturnal, and agile animals, leaving the extent to which bats can depend entirely on echolocation for long-distance navigation an open question. Video from the paper showing a reconstructed map of the valley. Credit: Xing Chen Experimental Approach and Methodology Aya Goldshtein and colleagues explored the sensory modalities and navigation strategies of Kuhl’s pipistrelle (Pipistrellus kuhlii), a tiny echolocating bat weighing just 6 grams. In a field experiment in Northern Israel, the researchers captured and relocated wild bats roughly 3 kilometers from their roosts to 1 of 2 unfamiliar locations within their home range. By depriving the bats’ sensory inputs, including vision via blindfolding, while keeping echolocation intact, and tracking the animals using a novel, miniature reverse GPS tracking system in near real-time, the team examined how the bats navigated back to their roost. Findings on Bats’ Navigation Techniques The findings show that bats can navigate over several kilometers using only echolocation and that, when available, also use vision to improve navigation performance. Notably, both sighted and blindfolded bats could not sense their roost directly. Initially, bats flew in a meandering pattern, likely to gather acoustic information from their surroundings, before transitioning to a direct flight toward their destination. The observation that distinct and detailed acoustic landmarks guided navigation suggests they use a mental acoustic map of their home range to orient themselves. Moreover, the authors found no evidence that bats use magnetic sensing or olfaction to aid navigation. Reference: “Acoustic cognitive map–based navigation in echolocating bats” by Aya Goldshtein, Xing Chen, Eran Amichai, Arjan Boonman, Lee Harten, Omer Yinon, Yotam Orchan, Ran Nathan, Sivan Toledo, Iain D. Couzin and Yossi Yovel, 31 October 2024, Science. DOI: 10.1126/science.adn6269 Researchers have identified a unique biomarker in the brain that signifies recovery from treatment-resistant depression, utilizing deep brain stimulation and artificial intelligence to understand and enhance treatment outcomes. A breakthrough study reveals a unique biomarker in the brain that tracks recovery from severe depression, using innovative deep brain stimulation and AI techniques. A team of leading clinicians, engineers, and neuroscientists has made a groundbreaking discovery in the field of treatment-resistant depression published online in the journal Nature on September 20. By analyzing the brain activity of patients undergoing deep brain stimulation (DBS), a promising therapy involving implanted electrodes that stimulate the brain, the researchers from Emory University School of Medicine, Georgia Institute of Technology, and the Icahn School of Medicine at Mt. Sinai identified a unique pattern in brain activity that reflects the recovery process in patients with treatment-resistant depression. This pattern, known as a biomarker, serves as a measurable indicator of disease recovery and represents a significant advance in treatment for the most severe and untreatable forms of depression. The team’s findings offer the first window into the intricate workings and mechanistic effects of DBS on the brain during treatment for severe depression. How DBS Works and Its Impact DBS involves implanting thin electrodes in a specific brain area to deliver small electrical pulses, similar to a pacemaker. Although DBS has been approved and used for movement disorders such as Parkinson’s disease for many years, it remains experimental for depression. This study is a crucial step toward using objective data collected directly from the brain via the DBS device to inform clinicians about the patient’s response to treatment. This information can help guide adjustments to DBS therapy, tailoring it to each patient’s unique response and optimizing their treatment outcomes. Monitoring and Artificial Intelligence in Treatment Now, the researchers have shown it’s possible to monitor that antidepressant effect throughout the course of treatment, offering clinicians a tool somewhat analogous to a blood glucose test for diabetes or blood pressure monitoring for heart disease: a readout of the disease state at any given time. Importantly, it distinguishes between typical day-to-day mood fluctuations and the possibility of an impending relapse of the depressive episode. The research team used artificial intelligence (AI) to detect shifts in brain activity that coincided with patients’ recovery. The study, funded by the National Institutes of Health Brain Research Through Advancing Innovative Neurotechnologies, or the BRAIN Initiative, involved 10 patients with severe treatment-resistant depression, all of whom underwent the DBS procedure at Emory University. Advanced Techniques and Findings The study team used a new DBS device that allowed brain activity to be recorded. Analysis of these brain recordings over six months led to the identification of a common biomarker that changed as each patient recovered from their depression. After six months of DBS therapy, 90% of the subjects exhibited a significant improvement in their depression symptoms and 70% no longer met the criteria for depression. “This study demonstrates how new technology and a data-driven approach can refine DBS therapy for severe depression, which can be debilitating,” says John Ngai, PhD, director of the BRAIN Initiative. “It’s this type of collaborative work made possible by the BRAIN Initiative that moves promising therapies closer to clinical use.” The high response rates in this study cohort enabled the researchers to develop algorithms known as “explainable artificial intelligence” that allow humans to understand the decision-making process of AI systems. This technique helped the team identify and understand the unique brain patterns that differentiated a “depressed” brain from a “recovered” brain. Insights From Experts “The use of explainable AI allowed us to identify complex and usable patterns of brain activity that correspond to a depression recovery despite the complex differences in a patient’s recovery,” explains Sankar Alagapan PhD, a Georgia Tech research scientist and lead author of the study. “This approach enabled us to track the brain’s recovery in a way that was interpretable by the clinical team, making a major advance in the potential for these methods to pioneer new therapies in psychiatry.” Helen S. Mayberg, MD, co-senior author of the study, led the first experimental trial of subcallosal cingulate cortex (SCC) DBS for treatment-resistant depression patients at Emory University in 2003, demonstrating it could have clinical benefit. In 2019, she and the Emory team reported the technique had a sustained and robust antidepressant effect with ongoing treatment over many years for previously treatment-resistant patients. “This study adds an important new layer to our previous work, providing measurable changes underlying the predictable and sustained antidepressant response seen when patients with treatment-resistant depression are precisely implanted in the SCC region and receive chronic DBS therapy,” says Mayberg, now founding director of the Nash Family Center for Advanced Circuit Therapeutics at Icahn Mount Sinai. “Beyond giving us a neural signal that the treatment has been effective, it appears that this signal can also provide an early warning signal that the patient may require a DBS adjustment in advance of clinical symptoms. This is a game changer for how we might adjust DBS in the future.” “Understanding and treating disorders of the brain are some of our most pressing grand challenges, but the complexity of the problem means it’s beyond the scope of any one discipline to solve,” says Christopher Rozell, PhD, Julian T. Hightower Chair and Professor of Electrical and Computer Engineering at Georgia Tech and co-senior author of the paper. “This research demonstrates the immense power of interdisciplinary collaboration. By bringing together expertise in engineering, neuroscience and clinical care, we achieved a significant advance toward translating this much-needed therapy into practice, as well as an increased fundamental understanding that can help guide the development of future therapies.” Observations and Further Research The team’s research also confirmed a longstanding subjective observation by psychiatrists: as patients’ brains change and their depression eases, their facial expressions also change. The team’s AI tools identified patterns in individual facial expressions that corresponded with the transition from a state of illness to stable recovery. These patterns proved more reliable than current clinical rating scales. In addition, the team used two types of magnetic resonance imaging to identify both structural and functional abnormalities in the brain’s white matter and interconnected regions that form the network targeted by the treatment. They found these irregularities correlate with the time required for patients to recover, with more pronounced deficits in the targeted brain network correlated to a longer time for the treatment to show maximum effectiveness. These observed facial changes and structural deficits provide behavioral and anatomical evidence supporting the relevance of the electrical activity signature or biomarker. “When we treat patients with depression, we rely on their reports, a clinical interview, and psychiatric rating scales to monitor symptoms. Direct biological signals from our patients’ brains will provide a new level of precision and evidence to guide our treatment decisions,” says Patricio Riva-Posse, MD, associate professor and director of the Interventional Psychiatry Service in the Department of Psychiatry and Behavioral Sciences at Emory University School of Medicine, and lead psychiatrist for the study. Given these initial promising results, the team is now confirming their findings in another completed cohort of patients at Mount Sinai. They are using the next generation of the dual stimulation/sensing DBS system with the aim of translating these findings into the use of a commercially available version of this technology. For more on this research: Researchers Identify Crucial Biomarker That Tracks Recovery From Treatment-Resistant Depression Deep Brain Stimulation: A New Frontier in Tracking Depression Recovery Reference: “Cingulate dynamics track depression recovery with deep brain stimulation” by Sankaraleengam Alagapan, Ki Sueng Choi, Stephen Heisig, Patricio Riva-Posse, Andrea Crowell, Vineet Tiruvadi, Mosadoluwa Obatusin, Ashan Veerakumar, Allison C. Waters, Robert E. Gross, Sinead Quinn, Lydia Denison, Matthew O’Shaughnessy, Marissa Connor, Gregory Canal, Jungho Cha, Rachel Hershenberg, Tanya Nauvel, Faical Isbaine, Muhammad Furqan Afzal, Martijn Figee, Brian H. Kopell, Robert Butera, Helen S. Mayberg and Christopher J. Rozell, 20 September 2023, Nature. DOI: 10.1038/s41586-023-06541-3 Research reported in this press release was supported by the National Institutes of Health BRAIN Initiative under award number UH3NS103550; the National Science Foundation, grant No. CCF-1350954; the Hope for Depression Research Foundation; and the Julian T. Hightower Chair at Georgia Tech. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of any funding agency. RRG455KLJIEVEWWF KoDō 和牛燒肉慶生氣氛夠嗎？ 》公益路美食最佳選擇｜10家餐廳逐一分析印月餐廳甜點好吃嗎？ 》公益路餐廳推薦Top10｜吃貨親訪真實心得NINI 尼尼台中店包廂適合尾牙嗎？ 》台中公益路吃什麼？這10家絕對不能錯過 |
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