Home / cuhk-aim-group / neurodiscovery · skills/combraintf/SKILL.md · GitHub

combraintf skillA

combraintf is agent-read markdown (skill) from cuhk-aim-group/neurodiscovery: Use this model doc whenever the user wants to run Com-BrainTF (Community-aware Brain Transformer) for fMRI phenotype prediction. Com-BrainTF uses dense FC matrices with a two-level Transformer (per-community local + global) and DEC pooling. NeuroClaw auto-derives community partitions from atlas naming conventions (Yeo 7-net for Schaefer, lobe-based for AAL)..

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What the file says

# Com-BrainTF Model Doc

## Overview
Com-BrainTF (Community-aware Brain Transformer) 是一种针对 fMRI 连接组的两级 Transformer。第一级对每个脑功能社区(如 Yeo 7-network)内的 ROI 独立做 self-attention,并为每个社区维护一个可学习的 CLS token;第二级把所有社区的 CLS + 全部 ROI 节点拼接,再过一个带 DEC 池化的 Transformer,最后展平进 FC head。

- Paper: Bannadabhavi et al., 2023, "Community-Aware Transformer for Autism Prediction in fMRI Connectome",MICCAI
- Official code: https://github.com/ubc-tea/Com-BrainTF
- NeuroClaw reimplementation: `models/combraintf/`(去除 hydra/omegaconf 与硬编码 node_clus_map,改为运行时从 atlas 推导)
- Primary input: dense FC 矩阵 [B, N, N]
- Primary output: phenotype prediction + DEC assignment + per-level attention

**Research use only.**

---

## NeuroClaw 实现要点

1. **去除 hydra/omegaconf**:原版用 hydra 配置 + DictConfig,NeuroClaw 改为纯 Python 构造函数,所有参数显式传入。
2. **动态 community partition**:原版从 `node_clus_map.pickle` 加载 Schaefer-400 的固定社区映射;NeuroClaw 在 `data_adapter.py::build_community_ids(atlas)` 里根据 ROI 名自动推导:
   - `schaefer_*_7net` → Yeo 7-network(Vis/SomMot/DorsAttn/SalVentAttn/Limbic/Cont/Default)+ Unknown 兜底,共 8 组
   - `aal_*` / `destrieux` / `dk_*` / `harvard_oxford_*` → 7 lobe + Other = 8 组
…

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Source

GitHub

cuhk-aim-group/neurodiscovery · 91 stars · license MIT · pushed 2026-09-22 · branch main

API

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