2nd/10_Wiki/Topics/AI_and_ML/Executive-Function-Deficit.md

---
id: wiki-2026-0508-executive-function-deficit
title: Executive Function Deficit
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [EF deficit, executive dysfunction, ADHD EF, working memory deficit, cognitive control]
duplicate_of: none
source_trust_level: A
confidence_score: 0.94
verification_status: applied
tags: [neuroscience, cognition, executive-function, adhd, prefrontal, intervention]
raw_sources: []
last_reinforced: 2026-05-10
github_commit: pending
tech_stack:
  language: Cognitive Science
  applicable_to: [Therapy, Coaching, Edu, AI Tutor, Workplace]
---

# Executive Function Deficit

## 매 한 줄
> **"매 prefrontal-driven control function 의 impairment"**. Miyake & Friedman 3-factor: working memory, inhibition, shifting. 매 ADHD, TBI, depression, aging 의 common. 매 modern: 매 scaffolding > willpower, 매 environmental design, 매 medication + CBT.

## 매 핵심

### 매 EF components (Miyake & Friedman)
- **Working memory**: 매 update.
- **Inhibition**: 매 prepotent response 의 suppress.
- **Shifting**: 매 set switching.

### 매 broader (Diamond)
- **Core**: 매 above 3.
- **Higher-order**: 매 reasoning, planning, problem-solving.

### 매 cause
- **ADHD**.
- **TBI** (traumatic brain injury).
- **Depression**.
- **Anxiety**.
- **Aging** (frontal).
- **Sleep deprivation**.
- **Stroke** (frontal).

### 매 manifest
- **Procrastination**.
- **Forgetfulness**.
- **Disorganization**.
- **Time blindness**.
- **Emotional dysregulation**.
- **Task initiation difficulty**.

### 매 intervention
- **Environmental scaffold**: 매 visible cue.
- **External memory**: 매 calendar, list, alarm.
- **Routine**: 매 habit > willpower.
- **Body doubling**: 매 partner.
- **Pomodoro**: 매 short bouts.
- **Stimulant medication** (ADHD).
- **CBT-based**.
- **Sleep / exercise**.

## 💻 패턴

### EF self-assessment (BRIEF-A inspired)
```python
def ef_self_check(responses):
    """매 0-2 scale (never/sometimes/often)."""
    return {
        'inhibit': sum(responses[:8]) / 8,
        'shift': sum(responses[8:14]) / 6,
        'emotional_control': sum(responses[14:22]) / 8,
        'self_monitor': sum(responses[22:28]) / 6,
        'initiate': sum(responses[28:34]) / 6,
        'working_memory': sum(responses[34:42]) / 8,
        'plan_organize': sum(responses[42:52]) / 10,
        'task_monitor': sum(responses[52:58]) / 6,
        'org_materials': sum(responses[58:66]) / 8,
    }
```

### Implementation intention (Gollwitzer)
```python
def implementation_intention(goal, when, where):
    """매 'When X, I will Y.'"""
    return f"When {when} at {where}, I will {goal}."

# 매 example: "When I sit at desk at 9am, I will open the project file."
```

### External memory (calendar + alarm)
```python
class ExternalEF:
    def __init__(self):
        self.tasks = []
        self.alarms = []
    
    def schedule(self, task, when):
        self.tasks.append({'task': task, 'when': when})
        self.alarms.append({'time': when - timedelta(minutes=10), 'msg': f'Prep: {task}'})
        self.alarms.append({'time': when, 'msg': f'Now: {task}'})
```

### Pomodoro
```python
def pomodoro_session():
    return {
        'work_min': 25,
        'short_break_min': 5,
        'long_break_min': 15,
        'cycles_before_long': 4,
    }
```

### Body doubling (virtual)
```python
def body_double_session(user_a, user_b, duration_min=50):
    """매 2명 의 silent + camera on + 매 task work."""
    start_session(user_a, user_b)
    set_intent(user_a, "Email inbox zero")
    set_intent(user_b, "Draft proposal")
    for min in range(duration_min):
        ping_check_in() if min % 25 == 0 else None
```

### Task initiation hack (5-min rule)
```python
def five_min_rule(task):
    """매 'Just 5 minutes.' 매 momentum 의 lower."""
    print(f"Doing {task} for ONLY 5 minutes. Stop after if you want.")
    timer = Timer(5 * 60)
    # 매 most 의 의 의 continue 의 momentum
```

### Working memory offloading
```python
def offload_working_memory(thoughts):
    """매 brain dump → 매 paper / app."""
    open_note().write_all(thoughts)
    return 'cleared'
```

### Stim med tracking (clinician-supervised)
```python
class MedTracker:
    def log_dose(self, time, dose_mg, intended_for):
        self.log.append({'time': time, 'dose': dose_mg, 'task': intended_for})
    
    def effect_check(self, after_30_min):
        return {
            'focus_0_10': self.rate('focus'),
            'mood_0_10': self.rate('mood'),
            'side_effects': self.list('side_effects'),
        }
```

### Inhibition training (Stop-Signal)
```python
def stop_signal_task(trial):
    if trial.is_stop:
        # 매 50ms 의 의 의 stop signal
        if trial.delay < user.threshold:
            return 'stopped' if user.inhibits() else 'failed'
    return 'go_response'

def update_threshold(success):
    """매 staircase: 매 success → 매 difficulty ↑."""
    return user.threshold + (50 if success else -50)
```

### Shifting practice (task switching)
```python
def task_switch_train():
    blocks = ['letter_classify', 'number_classify', 'mixed_switch']
    rt_costs = []
    for block in blocks:
        rt = run_block(block)
        rt_costs.append(rt - rt_costs[0] if rt_costs else 0)
    return rt_costs
```

### Cognitive load reduction
```python
def reduce_cognitive_load(task):
    return {
        'decompose': break_into_subtasks(task),
        'externalize': write_steps_visible(task),
        'minimize_distraction': close_other_apps(),
        'eat_drink_sleep_first': check_basics(),
    }
```

### Habit stacking
```python
def stack_habit(existing, new):
    """매 'After I [existing], I will [new].'"""
    return f"After I {existing}, I will {new}."
# 매 example: After I pour coffee, I will write 1 task.
```

## 매 결정 기준
| 상황 | Approach |
|---|---|
| ADHD diagnosed | Med + CBT + scaffold |
| TBI recovery | Rehab + external memory |
| Aging | Routine + simplification |
| Workplace | External system + manager |
| Education | IEP / 504 + scaffold |
| AI tutor | Implementation intent + reminder |

**기본값**: 매 environmental scaffold first (cheapest) + 매 external memory + 매 routine + 매 (clinical) med + CBT.

## 🔗 Graph
- 부모: [[Neuropsychology]]
- 변형: [[ADHD]]
- 응용: [[Cognitive-Behavioral-Therapy]]
- Adjacent: [[Default Mode Network (DMN)]] · [[Working-Memory]]

## 🤖 LLM 활용
**언제**: 매 coaching / accommodation. 매 productivity tool. 매 AI tutor.
**언제 X**: 매 medical diagnosis (clinician).

## ❌ 안티패턴
- **'Just try harder'**: 매 willpower 의 false.
- **No external scaffold**: 매 internal cap.
- **Med-only**: 매 skill 의 X 의 transfer.
- **Pure routine fix**: 매 underlying 의 ignore.
- **Stigmatize**: 매 motivation lose.

## 🧪 검증 / 중복
- Verified (Miyake & Friedman, Diamond, Barkley ADHD).
- 신뢰도 A.

## 🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-04-20 | Auto-reinforced |
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — Miyake + 매 implementation / pomodoro / habit stack code |