Lecture 8 Flashcards

Course Information

  • Course Code: KNES 323

  • Course Title: Integrative Physiology

  • Topic: Energy Delivery and EEG Introduction

  • Institution: UNIVERSITY OF CALGARY

  • Department: FACULTY OF KINESIOLOGY

  • Center: Sport Injury Prevention Research Centre

  • Date: Friday September 19, 2025

Class Outline

  1. Energy Delivery

  2. EEG

  3. EEG and Sleep

  4. EEG Future Applications

  5. EEG Lab

Energy Delivery

Overview
  • The body cannot directly utilize the chemical energy from ingested food at the cellular level.

  • Energy in carbon-hydrogen bonds from food must be converted to ATP (adenosine triphosphate).

ATP Production and Energy Release
  • Enzyme Involved: ATPase is responsible for splitting the terminal phosphate from ATP.

    • Process: Hydrolysis of the terminal phosphate group releases energy.

  • Energy Consumption: Approximately 70% of the total energy released is degraded to heat, while the remaining energy performs work.

Mechanisms of ATP Generation
  1. Creatine Phosphate (CP) System

    • Vital for muscle contraction by replenishing ATP for immediate contractions.

    • Supplies ATP during the first few seconds of exercise, enabling glycolysis to be initiated before ATP stores are depleted.

  2. Glycolysis

    • Involves the breakdown (lysis) of glucose molecules.

    • Accomplished through glycolytic enzymes located in the cytosol of the cell.

    • More complex than the CP system but produces less ATP compared to oxidative phosphorylation.

    • Can occur in the absence of oxygen, allowing access to ATP without O2.

  3. Oxidative Respiration

    • Breaks down fuel in the presence of oxygen in the mitochondria, known as cellular respiration.

    • Considered an aerobic process due to the presence of oxygen.

    • Produces abundant ATP for extended activity without fatigue.

Metabolism at Rest and During Activity
  • At rest, metabolic requirements are dominated by muscles, heart, brain, liver, and kidneys.

  • Resting Metabolic Rate: Approximately 3.5 mL/min/kg, termed 1 MET (metabolic equivalent).

  • As muscles extract oxygen from capillaries, a widening of the arterial and venous oxygen concentrations occurs (AV-O2 difference).

    • The difference is influenced by both blood's oxygen carrying capacity and mitochondrial oxidative potential.

Oxygen Delivery and Utilization
  • Fick Equation: Determines Rate of Oxygen Uptake (VO2)

    • VO2=Qimes(AVO2)VO_2 = Q imes (AV - O2)

    • Where:

    • VO2 = rate of oxygen uptake

    • Q = cardiac output

    • AV-O2 = arteriovenous oxygen difference

  • VO2 is commonly measured using metabolic carts to assess changes in respiratory gases and volume.

  • During submaximal exercise, a linear relationship exists between cardiac output and oxygen uptake.

  • An increase in exercise intensity leads to greater oxygen extraction by muscles, widening the AV-O2 difference.

Electroencephalography (EEG)

Overview
  • Definition: Electroencephalography (EEG) is a non-invasive method to record electrical brain activity through the scalp.

  • Historical Context: The first EEG recordings were performed by Hans Berger in the 1920s (Ince et al., Child Nerv Sys, 2020).

EEG Mechanism
  • Records electrical activity of pyramidal neurons in the cortex by placing electrodes on the scalp.

  • Can detect signals from action potentials across thousands of neurons through the dipoles they create.

  • Typically uses EEG caps that allow recordings from the entire scalp to observe event-related potentials for specific tasks.

Challenges in EEG
  • EEG signals can be overwhelmed by electrical activity generated by the body or environment.

  • Signals must pass through biological filters, reducing amplitude and spreading the signal output.

  • Conducting specific tasks across multiple trials helps to isolate EEG activity associated with those tasks from background noise.

Brainwave Frequencies
  • Utilizes electrodes across the scalp to map brain electrical activity.

  • Different brain wave frequencies correspond to different states of arousal:

    • Beta Waves: >13 Hz (14 – 30 Hz), associated with conscious and logical thought, focus, problem-solving, and can indicate anxiety or stress when heightened.

    • Alpha Waves: 8 – 13 Hz, promote deep relaxation, found in daydreaming, and linked to anxiety when suppressed.

    • Theta Waves: 4 – 7.5 Hz, associated with daydreaming, sleep, creativity, and emotional connection; linked to impulsivity when suppressed.

    • Delta Waves: 1 – 3.5 Hz, slowest brain waves, prevalent in deep restorative sleep, crucial for immune system function; a lack of adequate delta waves can lead to issues in rejuvenation and severe cognitive problems.

EEG and Sleep

Connection between EEG and Sleep Cycles
  • Various brainwaves correspond to consciousness levels during different sleep stages.

  • Awake Stage: Predominantly low voltage, high frequency (Beta and Alpha).

  • Stage Rem Sleep: Low voltage, mixed frequency, characterized by rapid eye movement and muscle atonia, diminishing total time across lifespan from 8 hours at birth to about 45 minutes at age 70.

Non-REM Sleep Stages
  • Stage I: Increased theta activity, loss of alpha, presence of vertex sharp waves.

  • Stage II: Features theta and delta waves, vertex sharp waves, K complexes, and sleep spindles.

  • Stage III: Higher voltage delta waves comprising 20-50% of background activity.

  • Stage IV: More than 50% delta slow waves, indicating deep sleep.

Future EEG Applications

Overview
  • Research on Brain-Computer Interface (BCI) technology aims to adapt applications for pediatric use, particularly for neurological disabilities.

    • Fundamental goals include understanding BCI technology's mechanisms for children, adapting different paradigms, and optimizing signal processing algorithms.

  • Transitioning BCI technology beyond laboratory settings into clinical environments is crucial.

    • Investigating how children can learn and optimally use BCI technology is another focus.

Research Collaboration
  • Unique collaboration among researchers in neuroscience, engineering, medicine, and rehabilitation sciences.

  • Partnerships with: University of Calgary, Alberta Children's Hospital, University of Alberta, University of Toronto, and NCAN Centre in Albany, New York.

Current Projects
  • Characterizing Baseline Pediatric BCI Performance

  • Exploring Power Mobility with BCI

  • Gamification of BCI

  • Bringing BCI into the Home