{ "version": "2026.10.04", "updated_at": "2026-10-04", "data_snapshot": "2026-10-03", "demographics_snapshot": "2026-09-29", "model_snapshot": "2026-10-01", "title": "BrainFM Project", "principal_investigator": "张锡哲", "copyright": "© 2026 张锡哲 · BrainFM Project。保留所有权利。", "directions": [ { "id": "representation", "code": "R1", "name": "Individual Brain Representation", "cn": "个体脑表征", "question": "如何从多模态测量中表示一个人的脑状态？", "why": "个体差异分布在结构、功能连接与时间动态中。共同表征需要保留这些差异，并减少扫描中心与处理流程的影响。", "hypothesis": "共享的时空表征可能保留跨模态与跨研究可复用的个体信息。", "data": [ "BFM-S001", "BFM-F001", "BFM-F002", "BFM-F003", "BFM-F004", "BFM-F005" ], "models": [ "representation", "dynamics" ], "experiments": [], "analysis": [ "统一空间、脑区顺序、采样与去噪记录", "按来源参与者分组，并审计复合影像库与验证集重叠", "运行参考模型输入转换、推理冒烟测试与冻结表征基线", "评价跨研究迁移与重复采集的一致性" ], "metrics": [ "表征重测一致性", "跨研究表型预测", "中心与年龄混杂敏感性" ], "next": "形成可复现的数据划分与参考模型推理基线", "stage": "design", "status": "数据基础已整理 · 基线待运行" }, { "id": "disease", "code": "R2", "name": "Disease-related Brain States", "cn": "疾病相关脑状态", "question": "疾病相关脑状态能否在诊断标签之外被连续地刻画？", "why": "临床症状、认知与脑网络变化并不必然对应一一映射的诊断类别。跨诊断数据支持比较共同变化与疾病差异。", "hypothesis": "疾病相关变化可能表现为连续脑状态的偏移；该假设需要控制人群、用药与测量差异。", "data": [ "BFM-P001", "BFM-P002", "BFM-P003", "BFM-P004", "BFM-P005", "BFM-P006", "BFM-P007", "BFM-G001", "BFM-G002", "BFM-G003", "BFM-G004" ], "models": [ "representation", "clinical" ], "experiments": [ "rtms" ], "analysis": [ "核对诊断、症状、认知量表与影像逐人匹配", "使用受试者层面划分，建立人口学与简单连接特征基线", "检验跨研究、跨诊断泛化及混杂敏感性", "将区域分子关联作为解释参考单独报告" ], "metrics": [ "外部研究泛化", "症状关联与校准", "混杂敏感性" ], "next": "完成临床变量字典与逐人影像链接", "stage": "design", "status": "疾病数据可用 · 变量与链接待核验" }, { "id": "perturbation", "code": "R3", "name": "Brain Perturbation", "cn": "脑扰动与响应", "question": "外部刺激如何改变脑网络的状态与时间动态？", "why": "刺激数据提供了观察自然波动之外的研究条件。单次脉冲、iTBS 与重复疗程对应不同时间尺度与分析单位。", "hypothesis": "刺激位置、初始脑状态与个体连接结构可能共同关联网络响应；跨尺度一致性需用真实数据检验。", "data": [ "BFM-I001", "BFM-I002", "BFM-I003", "BFM-I004", "BFM-I011", "BFM-I012", "BFM-I015", "BFM-I016" ], "models": [ "dynamics", "perturb" ], "experiments": [ "tms-fmri", "tms-eeg", "itbs", "rtms" ], "analysis": [ "整理刺激参数、时间戳与刺激前后条件", "匹配 EEG、功能影像和结构影像的分析单位", "比较无刺激、假刺激或刺激前基线；按原始设计确定对照", "建立传播与前后变化的可复现分析" ], "metrics": [ "刺激响应重测", "传播模式与潜伏期", "刺激前后网络变化" ], "next": "完成各范式的刺激参数与事件表核验", "stage": "design", "status": "扰动数据已入库 · 分析流程设计中" }, { "id": "personalization", "code": "R4", "name": "Personalized Neuromodulation", "cn": "个体化神经调控", "question": "如何把个体脑状态与网络响应用于干预策略的研究？", "why": "靶点选择与疗程响应需要联合考虑个体网络、临床变量与刺激条件。靶点相关性、响应预测与前瞻性治疗验证属于不同证据层级。", "hypothesis": "个体脑状态和刺激响应特征可能为靶点与疗程建模提供增量信息；当前尚无经验证的临床推荐模型。", "data": [ "BFM-I003", "BFM-I005", "BFM-I007", "BFM-I008", "BFM-I009", "BFM-I010" ], "models": [ "perturb", "clinical" ], "experiments": [ "rtms", "itbs" ], "analysis": [ "核对靶点坐标、治疗参数与疗效定义", "比较临床基线、连接特征与联合表征模型", "采用嵌套或外部验证，防止疗后信息进入基线预测", "在独立验证后再设计前瞻性评估" ], "metrics": [ "外部预测与概率校准", "与临床基线的增量比较", "靶点与响应的稳定性" ], "next": "建立干预参数、结局与个体网络的统一研究表", "stage": "planned", "status": "研究规划 · 交互概念演示可用" } ], "models": [ { "id": "representation", "name": "BrainFM-Representation", "cn": "统一脑状态表征", "architecture": "拟比较脑区时间序列编码与体素时空编码；架构尚未冻结", "input": "结构影像 / 功能影像 / 脑区时间序列", "data": [ "BFM-S001", "BFM-F001", "BFM-F002", "BFM-F003", "BFM-F004", "BFM-F005" ], "research": [ "representation", "disease" ], "stage": "planned", "task": "输入适配、冻结参考模型、跨研究基线", "evaluation": "重测可靠性、跨研究迁移、表型预测" }, { "id": "dynamics", "name": "BrainFM-Dynamics", "cn": "脑状态的时间动态", "architecture": "拟建立状态转移与未来窗口预测模型", "input": "连续功能影像或脑区时间序列", "data": [ "BFM-F001", "BFM-F005", "BFM-I001", "BFM-I002" ], "research": [ "representation", "perturbation" ], "stage": "planned", "task": "时间窗定义、无刺激动力学基线", "evaluation": "未来窗口误差、时间一致性、跨中心稳健性" }, { "id": "perturb", "name": "BrainFM-Perturb", "cn": "条件刺激响应", "architecture": "拟将刺激条件与初始状态作为条件输入", "input": "脑状态 + 刺激条件 + 个体网络", "data": [ "BFM-I001", "BFM-I002", "BFM-I004", "BFM-I011", "BFM-I016" ], "research": [ "perturbation", "personalization" ], "stage": "planned", "task": "刺激参数字典、实验对照、跨尺度评价", "evaluation": "响应传播、刺激前后变化、未见条件泛化" }, { "id": "clinical", "name": "BrainFM-Clinical", "cn": "临床结局研究", "architecture": "拟比较临床基线、脑表征与联合预测模型", "input": "基线影像 / 特征 + 临床变量", "data": [ "BFM-P001", "BFM-P004", "BFM-I003", "BFM-I005", "BFM-I008" ], "research": [ "disease", "personalization" ], "stage": "planned", "task": "纵向链接、结局字典、外部验证设计", "evaluation": "外部预测、校准、亚组与混杂敏感性" } ], "experiments": [ { "id": "tms-fmri", "code": "E1", "name": "Single-pulse TMS–fMRI", "cn": "单脉冲刺激与全脑响应", "scale": "秒", "time": "SECONDS", "question": "一个刺激事件对应怎样的全脑 BOLD 响应？", "design": "刺激事件 → 血氧响应 → 网络传播；按原研究的刺激条件与对照分析。", "data": [ "BFM-I001", "BFM-I016" ], "modalities": [ "TMS", "task-fMRI", "rs-fMRI", "T1w" ], "protocol": [ "核对刺激事件时间、位置、强度与影像时间对齐", "检查头动、磁脉冲伪影及事件与 BOLD 响应建模", "按原始实验条件估计响应与传播；使用参与者层面统计" ], "controls": "具体条件和对照依据资源事件表核验，不推定所有资源均有假刺激。", "availability": "BFM-I001 记录 152 名参与者；BFM-I016 为存档包，人数与内容覆盖待核验。", "next": "刺激事件表与影像输入核验" }, { "id": "tms-eeg", "code": "E2", "name": "TMS–EEG", "cn": "快速电生理响应", "scale": "毫秒", "time": "MILLISECONDS", "question": "刺激后的电生理响应如何在时间与网络间传播？", "design": "磁脉冲 → EEG 诱发响应 → 潜伏期与传播特征。", "data": [ "BFM-I004", "BFM-I011", "BFM-I015" ], "modalities": [ "TMS", "EEG", "MRI / 衍生参考" ], "protocol": [ "核对脉冲事件、通道、采样率与实验条件", "处理刺激、肌电、听觉与躯体感觉伪影，并记录排除依据", "建立诱发波形、时频与源空间传播分析，核验 MRI 配对" ], "controls": "需要区分神经响应与听觉、肌电或躯体感觉成分；对照条件按原研究核验。", "availability": "BFM-I004 有 MRI 与 EEG 数据，但逐人完整配对未确认；BFM-I015 提供衍生配套资料。", "next": "刺激伪影流程与参与者配对核验" }, { "id": "itbs", "code": "E3", "name": "iTBS", "cn": "刺激前后的网络可塑性", "scale": "分钟", "time": "MINUTES", "question": "短时刺激前后，脑网络状态怎样改变？", "design": "刺激前静息态 → iTBS → 刺激后静息态；采集间隔待核验。", "data": [ "BFM-I002" ], "modalities": [ "iTBS", "rs-fMRI", "T1w" ], "protocol": [ "核对刺激协议、刺激前后影像与采集间隔", "检验头动与预处理一致性，建立逐人前后配对", "比较连接、脑状态与动态特征；控制时间与顺序因素" ], "controls": "16 名参与者的前后数据与预处理输出已记录；假刺激条件及人口学未确认。", "availability": "BFM-I002：16 名参与者，刺激前后两次采集，预处理输出已入库。", "next": "前后链接与刺激条件核验" }, { "id": "rtms", "code": "E4", "name": "Longitudinal rTMS", "cn": "疗程与长期随访", "scale": "周 / 月", "time": "WEEKS → MONTHS", "question": "疗程中的脑状态变化如何与临床结局对应？", "design": "基线 → 重复刺激疗程 → 临床结局 → 随访；不同研究采用各自时间点。", "data": [ "BFM-I003", "BFM-I005", "BFM-I008", "BFM-I009", "BFM-I010" ], "modalities": [ "rTMS", "结构 / 功能影像或特征", "临床结局" ], "protocol": [ "核对纵向影像、临床记录、靶点与治疗参数", "建立参与者、疗程、时间点层级的数据表并记录缺失", "区分脑变化分析与基线疗效预测；比较临床基线模型", "仅用治疗前信息构建基线预测，并开展独立验证" ], "controls": "BFM-I003 为主动 / 假刺激双盲随机对照；其他资源的对照依研究设计核验。", "availability": "BFM-I003 记录基线、2 周及多月随访；BFM-I005 提供连接图和 4 / 12 周临床结局，连接图采集时点待核验。", "next": "临床结局定义与纵向链接核验" } ], "phases": [ { "id": "foundation", "number": 1, "name": "Data Foundation", "cn": "数据基础", "window": "2026 Q4", "stage": "active", "objective": "建立可追溯的数据基础与参考模型资源。", "current": "汇总目录、模态、人口与资源关系已整理；3 套衍生包仍在入库。", "next": "完成剩余衍生包与用途相关 QC、数据划分。", "data": [ "BFM-S001", "BFM-F001", "BFM-F002", "BFM-F003", "BFM-F004", "BFM-P001", "BFM-I001" ], "models": [ "representation" ], "results": [ "33 套资源的公开汇总元数据已建立", "4 个参考模型权重已入库并通过文件校验", "跨研究独立人数、QC 与模型就绪尚未量化" ], "outputs": [ "atlas", "metadata", "audit" ] }, { "id": "representation", "number": 2, "name": "Brain Representation", "cn": "脑表征", "window": "2027 Q1", "stage": "planned", "objective": "建立可重复、可跨研究比较的个体脑表征。", "current": "参考模型输入与评价方案设计；尚未记录推理或训练结果。", "next": "冻结参与者划分并运行参考模型基线。", "data": [ "BFM-S001", "BFM-F001", "BFM-F002", "BFM-F003", "BFM-F004", "BFM-F005" ], "models": [ "representation", "dynamics" ], "results": [], "outputs": [] }, { "id": "perturbation", "number": 3, "name": "Perturbation Model", "cn": "扰动建模", "window": "2027 Q2", "stage": "planned", "objective": "在刺激条件下研究脑状态转移与网络响应。", "current": "单脉冲、EEG、iTBS 与纵向疗程数据条件已整理。", "next": "统一刺激参数并建立可复现的范式分析。", "data": [ "BFM-I001", "BFM-I002", "BFM-I003", "BFM-I004", "BFM-I011", "BFM-I012", "BFM-I015", "BFM-I016" ], "models": [ "dynamics", "perturb" ], "results": [], "outputs": [] }, { "id": "personalization", "number": 4, "name": "Personalized Intervention", "cn": "个体化干预", "window": "2027 Q3", "stage": "planned", "objective": "评价个体表征与刺激响应对靶点、结局建模的价值。", "current": "个体网络与靶点资源已标注；交互演示用于方法讨论。", "next": "开展独立验证并比较临床基线模型。", "data": [ "BFM-I003", "BFM-I005", "BFM-I007", "BFM-I008", "BFM-I009", "BFM-I010" ], "models": [ "perturb", "clinical" ], "results": [], "outputs": [ "lab" ] }, { "id": "planning", "number": 5, "name": "Treatment Planning", "cn": "治疗规划", "window": "2027 Q4", "stage": "planned", "objective": "在完成验证后研究多策略比较与前瞻性评估。", "current": "当前为概念设计；尚无患者级预测或临床推荐。", "next": "制定前瞻性验证与决策评价方案。", "data": [ "BFM-I003", "BFM-I005", "BFM-I007" ], "models": [ "clinical" ], "results": [], "outputs": [ "lab" ] } ], "outputs": [ { "id": "atlas", "type": "software", "name": "BrainFM Data Foundation", "cn": "多模态研究数据平台", "status": "released", "date": "2026-10-04", "description": "数据版图、研究卡、测量矩阵、候选研究用途与处理证据。", "url": "/data/", "download": "/foundation.json", "research": [ "representation", "disease", "perturbation", "personalization" ], "data": [ "BFM-S001", "BFM-F001", "BFM-P001", "BFM-I001", "BFM-I003" ], "models": [], "experiments": [], "evidence": "已发布的汇总元数据与软件；不是实验结果。" }, { "id": "metadata", "type": "data", "name": "Research Metadata Registry", "cn": "研究汇总元数据", "status": "released", "date": "2026-10-04", "description": "33 套资源、研究关系、模型资源与计数定义的可下载汇总快照。", "url": "/catalog/", "download": "/catalog.json", "research": [ "representation", "disease", "perturbation", "personalization" ], "data": [ "BFM-S001", "BFM-I003", "BFM-I006" ], "models": [], "experiments": [], "evidence": "资源入库快照：2026-10-03；人口与模态统计：2026-09-29。原始影像不经此网站下载。" }, { "id": "audit", "type": "report", "name": "Data & Evidence Notes", "cn": "数据基础与证据口径报告", "status": "released", "date": "2026-10-04", "description": "解释研究分组、重复记录、计数单位、年龄覆盖和处理阶段。", "url": "/methodology/", "download": "/downloads/evidence-notes.md", "research": [ "representation", "disease" ], "data": [ "BFM-S001", "BFM-I003", "BFM-I006" ], "models": [], "experiments": [], "evidence": "统计口径与基础设施审计；尚无训练性能或科学发现。" }, { "id": "reference-models", "type": "model", "name": "Reference Model Registry", "cn": "参考模型资源登记", "status": "available", "date": "2026-10-01", "description": "四个已校验权重的输入、规模和文件状态；推理测试待运行。", "url": "/models/reference/", "download": "/downloads/reference-models.json", "research": [ "representation", "perturbation" ], "data": [], "models": [ "representation", "dynamics" ], "experiments": [], "evidence": "下载与文件校验完成；没有本项目训练的模型或独立性能评价。" }, { "id": "lab", "type": "software", "name": "Intervention Planner Demo", "cn": "干预与网络传播概念演示", "status": "demo", "date": "2026-10-04", "description": "在六网络线性系统上对比三个输入位置的模拟传播，支持本地研究 JSON 与结果导出。", "url": "/lab/", "download": "/downloads/demo-case.json", "research": [ "perturbation", "personalization" ], "data": [], "models": [ "perturb" ], "experiments": [], "evidence": "完全模拟的数学示例；不使用患者资料，也不产生临床疗效预测。" }, { "id": "portal-code", "type": "code", "name": "BrainFM Portal Source", "cn": "项目门户与构建工具", "status": "released", "date": "2026-10-04", "description": "静态页面生成、元数据审计与浏览器交互的公开源码。", "url": "/about/#maintenance", "download": "/downloads/brainfm-portal-source.zip", "research": [], "data": [], "models": [], "experiments": [], "evidence": "包含公开目录与项目内容；内部来源、原始数据、凭证与 QA 文件不包含在下载包。" } ], "model_performance": null, "clinical_model_validated": false, "publications": [], "preprints": [], "map_nodes": [ { "id": "brain", "title": "大脑观测", "description": "多模态测量是研究脑状态与干预的共同数据基础。", "research": [ "representation" ], "data": [ "BFM-S001", "BFM-F001", "BFM-F005" ], "models": [ "representation" ], "experiments": [], "outputs": [ "atlas" ] }, { "id": "structure", "title": "脑结构", "description": "结构影像支持个体解剖与空间参照；空间配准与质量控制需要独立完成。", "research": [ "representation" ], "data": [ "BFM-S001", "BFM-F001", "BFM-F002" ], "models": [ "representation" ], "experiments": [], "outputs": [ "atlas" ] }, { "id": "function", "title": "脑功能", "description": "静息态与任务态功能影像支持连接与脑状态研究；先确认四维影像与衍生层级。", "research": [ "representation", "disease" ], "data": [ "BFM-F001", "BFM-P001", "BFM-P004", "BFM-I002" ], "models": [ "representation", "dynamics" ], 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