Thursday, August 13, 2026
特定類型的更生人故事（例如長刑期復歸）
你要理解，這裡，沒有，童話，故事，
長刑期（如十多年或無期徒刑假釋）更生人的社會復歸之路，常面臨「監禁創傷」、「社會脫節」與「人際疏離」三重考驗。他們出獄後不僅要面對快速變遷的科技與生活節奏，還得修復破碎的家庭關係與克服社會標籤。[1, 2, 3]
- 監禁創傷：長期在高壓、規訓的環境下生活，出獄後容易產生社會適應不良、焦慮或自我封閉。
- 科技與時代脫節：離開社會十多年，智慧型手機、行動支付與數位工作模式全變了樣。
- 人際與家庭重建：錯過親友的生老病死與孩子的成長，家人可能從期待轉為疏離或負擔。
- 宗教或藝術感化：許多人在獄中透過信仰、書法或音樂沉澱心靈，找到內在平靜。
- 家人與志工支持：家屬不離不棄的包容，或是中途之家、更生保護會的陪伴，是跨出第一步的關鍵。
- 回饋社會：部分人復歸後投入反毒宣導、陪伴迷途少年，將痛苦轉化為幫助別人的力量。 [1]
更生人心路歷程
更生人的心路歷程是一條充滿掙扎、轉念與社會重塑的漫長道路。他們從高牆內面對自我悔恨、出獄後面對社會排擠與生計壓力，到最後修復家庭關係、找回自我價值，每一個階段都考驗著堅定的意志與外界的接納。 [1, 2, 3]
- 面對悔恨：在失去自由的囚徒生活中，許多人開始面對過去犯下的錯誤，承受巨大的心理壓力與對家人的虧欠。
- 社會標籤：帶著前科出獄，常面臨求職碰壁、社會大眾的懷疑眼光，內心充滿挫折與不安。
- 穩定就業：透過如財團法人臺灣更生保護會或友善企業的協助媒合工作，建立穩定的生活重心。
PRP (高濃度血小板血漿) (Platelet-Rich Plasma）
PRP 是高濃度血小板血漿（Platelet-Rich Plasma），屬於一種自體生長因子注射的「增生療法」。醫師會抽取患者自身的血液，利用離心機萃取出富含血小板與生長因子的血漿，再注射到退化或受傷的關節、肌腱與韌帶部位，來幫助組織自我修復與減緩疼痛。 [1, 2]
- 抽取自體血液：先從患者身上抽取適量靜脈血。
- 高速離心分離：透過離心機將紅血球、白血球與血漿層層分離。
- 萃取高濃度血小板：取出富含生長因子的血小板血漿。
- 膝蓋：退化性關節炎、十字韌帶或半月板損傷。
- 手肘：網球肘、高爾夫球肘。
- 肩部：旋轉肌袖撕裂傷、五十肩、肌腱炎。
- 足部：足底筋膜炎、阿基里斯腱炎。
- 優點：使用自體血液，相容性高、無排斥風險、傷口小且恢復期短。
- 費用與健保：屬於自費項目，單次價格約新台幣 15,000 至 20,000 元不等，健保無給付。
- 不適合族群：孕婦、癌症患者、血小板功能障礙、免疫系統疾病或正服用抗凝血劑者。 [1]
台灣人民要看清楚共匪和匪諜是什麼樣的雞巴懶叫
https://youtu.be/RS_zn3ZlxA0?si=Z3uK7xHBKMVHfwoI
起因是，這些日子，匪諜 （包括，舔共黨，匪諜立委，etc），近距離的，舔共屁眼，吸匪懶叫，太賣力了，所以我們，對于共匪，的雞巴懶叫，有一種親切的，近距離的，如數家珍的，認識，
What’s the significance of the paper that 40 percent of MRI signals do not correspond to actual brain activity? https://www.tum.de/en/news-and-events/all-news/press-releases/details/40-percent-of-mri-signals-do-not-correspond-to-actual-brain-activity (2026-8-13)
Yes. This is a very important paper, but the headline “40 percent of MRI signals do not correspond to actual brain activity” is a little too dramatic. The paper does not show that 40% of fMRI is meaningless, nor that 40% of all MRI signals are false. It shows something subtler—and, scientifically, more consequential:
In roughly 40% of cortical voxels that showed a significant task-related BOLD change, the direction of the BOLD signal was opposite to the direction of oxygen metabolism.
The paper is Samira Epp et al., “BOLD signal changes can oppose oxygen metabolism across the human cortex,” published in Nature Neuroscience in December 2025.
Why this matters
Conventional fMRI does not measure neurons firing. It measures the BOLD signal—blood-oxygen-level-dependent contrast, essentially changes in deoxygenated haemoglobin. Researchers then infer neuronal activity through a physiological chain:
neuronal activity → increased energy/oxygen demand → altered cerebral blood flow → altered blood oxygenation → BOLD signal
The crucial assumption has usually been that this chain behaves predictably enough that:
positive BOLD ≈ increased neural activity
negative BOLD ≈ decreased neural activity
That assumption is what this study attacks.
The investigators simultaneously estimated cerebral blood flow, oxygen extraction fraction (OEF), and cerebral metabolic rate of oxygen, CMRO₂, while 40 healthy subjects performed calculation and autobiographical-memory tasks. CMRO₂ is substantially closer to the energetic consequences of neuronal activity than ordinary BOLD.
And they found this:
about 40% of voxels with significant BOLD responses were “discordant.”
Sometimes:
BOLD ↑ while CMRO₂ ↓
and sometimes:
BOLD ↓ while CMRO₂ ↑.
That second case is particularly striking. A conventional activation map might tell you:
“This region became less active.”
Yet its oxygen consumption actually increased.
So the image is not necessarily wrong. Our interpretation of the image may be wrong.
The physiological discovery may be even more interesting than the 40%
The conventional model assumes that when neurons need more oxygen, the brain mostly responds by increasing blood flow.
Epp et al. found two physiological strategies.
In “concordant” voxels, the classical model works quite well:
↑ neuronal metabolism → ↑ CBF → BOLD change
About 87% of the explained metabolic response in these voxels was associated with changes in blood flow.
But the discordant voxels behaved differently. They frequently changed the oxygen extraction fraction instead:
same or modest blood flow → extract more oxygen from the blood → ↑ metabolism
In these voxels, OEF accounted for about 58% of the explained variance, versus 42% from CBF.
So there appear to be at least two ways the brain can pay its energetic bill:
bring more oxygen in, or
extract more oxygen from what is already there.
Ordinary BOLD is much better at seeing the first mechanism than the second.
That means the deeper finding is:
Neurovascular coupling is not one uniform transfer function across the cortex.
And therefore there cannot be a universally valid translation:
BOLD amplitude → neuronal activity.
The authors explicitly conclude that BOLD alone can produce misleading interpretations of underlying neuronal activity.
And here comes psychiatry
This is where I think the paper becomes especially consequential.
Imagine two groups:
patients with depression
versus
healthy controls.
Suppose an fMRI study finds:
↓ BOLD in dorsolateral prefrontal cortex.
For thirty years, the temptation has been to write:
“Depressed patients demonstrate hypoactivation of the DLPFC.”
But logically, the experiment has actually demonstrated:
reduced BOLD response in the DLPFC.
The rest is inference.
After Epp et al., at least three explanations become plausible:
A. neuronal/metabolic activity really decreased.
B. neuronal activity is unchanged, but vascular response differs.
C. neuronal metabolism actually increased, but oxygen extraction changed in such a way that BOLD moved in the opposite direction.
That distinction becomes especially dangerous in aging, Alzheimer’s disease, vascular disease, and perhaps many psychiatric populations because the patient and control groups may differ systematically in vascular physiology. TUM explicitly emphasizes this problem.
Consequently, some apparent findings of “hypoactivation” and “hyperactivation” in the psychiatric fMRI literature may need reinterpretation.
Not necessarily rejection.
Reinterpretation.
Default Mode Network: particularly interesting
There is another detail I suspect you will find fascinating.
The discordant voxels were especially prominent in the default mode network (DMN).
That matters because an enormous psychological literature has interpreted task-related negative BOLD in DMN regions as:
“deactivation.”
The usual story goes:
task begins → DMN activity goes down.
But the study shows that negative BOLD does not necessarily mean reduced oxygen metabolism. In some DMN voxels, metabolism can go up while BOLD goes down.
That potentially complicates an extraordinary number of stories we have told about:
self-referential processing,
mind wandering,
autobiographical memory,
depression and rumination,
schizophrenia,
Alzheimer’s disease,
consciousness.
The network itself doesn’t disappear.
But some of the psychological narratives built on the polarity of BOLD become less secure.
There is an epistemological lesson here
For years popular neuroscience has given us beautiful coloured maps labelled:
fear
reward
self
empathy
trauma
religious experience.
But the instrument never saw any of those things.
It saw:
changes in magnetic properties produced partly by changing concentrations of deoxygenated haemoglobin.
Then came several layers of inference:
BOLD → metabolism → neuronal activity → computation → psychological construct.
Epp et al. demonstrate that trouble can already arise at the first physiological inference.
Thus:
BOLD \not\equiv neuronal\ activity
and, even more importantly,
\operatorname{sign}(\Delta BOLD)
\not\equiv
\operatorname{sign}(\Delta neuronal\ metabolism).
That is the genuinely disruptive part of the paper.
So I would formulate its significance this way:
fMRI remains an extraordinarily useful instrument, but the coloured activation map should no longer be treated as a transparent window onto neuronal activity. It is a vascular-metabolic shadow whose relationship to neuronal activity varies across the brain.
And perhaps this is another wonderful case of your familiar distinction between the thing and our representation of the thing: neuroscience had gradually forgotten that BOLD was a proxy, and began talking as though it were the brain itself.
Epp et al. have put the proxy back between us and the brain.