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The approachable, comprehensive guide to neurobiology Neurobiology rolls the anatomy, physiology, and pathology of the nervous system into one complex area of study. Neurobiology For Dummies breaks down the specifics of the topic in a fun, easy-to-understand manner. The book is perfect for students in a variety of scientific fields ranging from neuroscience and biology to pharmacology, health science, and more. With a complete overview of the molecular and cellular mechanisms of the nervous system, this complete resource makes short work of the ins and outs of neurobiology so you can understand the details quickly. Dive into this fascinating guide to an even more fascinating subject, which takes a step-by-step approach that naturally builds an understanding of how the nervous system ties into the very essence of human beings, and what that means for those working and studying in the field of neuroscience. The book includes a complete introduction to the subject of neurobiology. * Gives you an overview of the human nervous system, along with a discussion of how it's similar to that of other animals * Discusses various neurological disorders, such as strokes, Alzheimer's disease, Parkinson's disease, and schizophrenia * Leads you through a point-by-point approach to describe the science of perception, including how we think, learn, and remember Neurobiology For Dummies is your key to mastering this complex topic, and will propel you to a greater understanding that can form the basis of your academic and career success.
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Neurobiology For Dummies®
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Cover
Title Page
Copyright Page
Introduction
About This Book
Foolish Assumptions
Icons Used in This Book
Beyond the Book
Where to Go from Here
Part I: Getting Started with Neurobiology
Chapter 1: Welcome to the World of Neurobiology
Introducing Neurons
Organizing the Nervous System
Perceiving the World, Thinking, Learning, and Remembering
Developmental, Neurological, and Mental Disorders and Treatments
Chapter 2: Building Neurons from Molecules
Getting into Genetics
Meeting Cell Molecules: Important Ions and Proteins
Peeking at the Parts of a Cell
Setting Boundaries: Cell Membrane Lipids
Regulating Water and Cell Volume
Knowing the Neuron: Not Just Another Cell
When Things Go Wrong: Genetics and Neurological Illness
Chapter 3: Gating the Membrane: Ion Channels and Membrane Potentials
Looking at Membrane Channels
Getting a Charge Out of Neurons
Pumping Ions for Information
Discovering Diffusion and Voltage
Signaling with Electricity in Neurons
Making Spikes with Sodium and Potassium Channels
Insulating with Glial Cells
Chapter 4: Sending Signals: Chemical Release and Electrical Activation
Looking at Synaptic Transmission
Being Receptive to Neurotransmitter Receptors
Dividing and Conquering: Interneurons and Circuits
Part II: Neuroanatomy: Organizing the Nervous System
Chapter 5: Movement Basics: Muscles and Motor Neurons
Making a Move: Muscle Types and What They Do
Pulling Your Weight: How Muscle Cells Contract
Controlling Muscle Contraction
Knowing Where Your Limb Is Located
Reflexing without Reflecting
Exercise and Aging
Chapter 6: The Spinal Cord and the Autonomic Nervous System
Segmenting the Spine
Spying on the Spinal Cord
Feeling and Acting: The Peripheral Nervous System
Correcting Errors: The Cerebellum
Fighting or Fleeing: The Autonomic Nervous System
Chapter 7: The Busy Brain: Brainstem, Limbic System, Hypothalamus, and Reticular Formation
The Brainstem: Medulla, Pons, Midbrain
Counting the Cranial Nerves
Controlling Your Motives: The Limbic System
Regulating the Autonomic Nervous System: The Hypothalamus
Reading Up on the Reticular Formation
Chapter 8: Generating Behavior: Basal Ganglia, Thalamus, Motor Cortex, and Frontal Cortex
The Basal Ganglia and Its Nuclei
Controlling Muscles: The Primary Motor Cortex
Coordinating Muscle Groups: Central Control
The Thalamus: Gateway to the Neocortex
Focusing on Goals with the Prefrontal Cortex
Knowing, or Not Knowing, Who’s In Control
Chapter 9: Topping It Off: The Neocortex
Looking Inside the Skull: The Neocortex and Its Lobes
Getting to the Brain You Have Today: The Neocortex versus Your Reptilian Brain
Making Decisions: The Lateral Prefrontal Cortex
Doing the Right Thing
Seeing Both Sides: The Left and Right Hemispheres
Gender and the Brain
Part III: Perceiving the World, Thinking, Learning, and Remembering
Chapter 10: Looking at Vision and Hearing
Imaging and Capturing Light: Vision
Joining the Nervous System: Photoreceptor Output
Sending the Message to the Brain
Fanning Out in the Occipital Lobe
Streaming the Message to the Temporal and Parietal Lobes
Listening In: Capturing Sound Waves
Channeling Sounds to the Brain
Losing Hearing
Balancing via the Vestibular System: “Hearing” the Fluid Sloshing in Your Head
Chapter 11: Feeling, Smelling, and Tasting
Getting in Touch with the Skin
Recognizing What We Touch at Somatosensory Cortex
Sniffing Out the World around You
Tasting Basics: Sweet, Sour, Salt, and Bitter Receptors
Tasting with the Brain
Monitoring Internal Body Functions with Internal Chemoreceptors
Chapter 12: Memory and Learning
Evolving with Adaptation and Instinct
Implicit (Non-Declarative) Memory
The Long and Short of It: Immediate versus Permanent Memory
Memory Mechanisms and Brain Loci
Learning by Changing Synaptic Strengths
Forgetting It: Amnesia and Other Memory Loss
Improving Your Learning
Chapter 13: The Frontal Lobes and Executive Brain
Reflexes versus Conscious or Goal-Generated Action
Deciding How to Do It: The Frontal Lobes and Action Execution
Initiating Action in the Basal Ganglia
Coordinating through the Supplementary and Premotor Cortices
Mirroring Others: Mirror Neurons
Chapter 14: Language, Intelligence, Emotions, and Consciousness
Adapting Our Brains for Language
Following Thought through Sensory Pathways and Hierarchies
Speaking Your Mind: Language, Vision, and the Brain Hemispheres
Defining Intelligence
Emotional Intelligence
Understanding Consciousness
Part IV: Developmental, Neurological, and Mental Disorders and Treatments
Chapter 15: Developing the Brain and Nervous System
Dividing and Differentiating after Conception
Polarizing the Brain: Ganglia versus Brains
Layering the Neocortex
Developmental Neural Disorders
Chapter 16: Movement Disorders
When the Wheels Come Off: Motor Disorders
Failing Forces: Muscle Diseases
Neuromuscular Junction Disorders
Motor Neuron Damage
Basal Ganglia and Other Diseases
Strokes and Injuries
Chapter 17: Brain Dysfunction and Mental Illness
Understanding Mental Illness as Neural Dysfunction
Exploring the Genetic Causes of Brain Dysfunction
Knowing How the Nervous System Can Be Damaged in Utero
Mixing Genetic and Developmental Components
Eating and Drinking for Brain Function
Chapter 18: Making Better Brains
Fixing the Brain with Surgery, Electricity, and Magnetism
Repairing Brain Damage
Brain–Machine Interfaces
Augmenting Brain Function
Simulating Brain Function on Computers
Downloading the Brain
Part V: The Part of Tens
Chapter 19: The Ten Most Important Brain Circuits
The Reticular Formation in the Brainstem
The Spinal Reflex
The Thalamic Relay to the Cortex
Cerebellar Modulation of Motion Sequences
Hippocampal Reciprocal Activation with the Cortex
The Amygdala Orbitofrontal Cortex Loop
The Spinal Pattern Generator
The Conscious Triangle: Frontal and Sensory Cortex with the Thalamus
The Basal Ganglia Thalamus Loop
The Anterior Cingulate and Pulvinar Central Executives
Chapter 20: Ten Technologies Revolutionizing Brain Science
Optogenetics: Controlling Neurons with Light
Transcranial Magnetic Stimulation and Transcranial Direct Current Stimulation
Genetic Disease Models: Knockouts and Knockins
Brain Imaging: Optical, Magnetic, and Electrical
Interfacing Brains with Computers
Deep Brain Stimulation
Multi-Electrode Array Recording
Fluorescence and Confocal Microscopy
Advances in Electrophysiological Recording
Tissue Culture and Brain Slices
Index
About the Author
Connect with Dummies
End User License Agreement
Chapter 2
Figure 2-1: Phospho-lipid molecular structure.
Figure 2-2: A simplified ball-and-stick model of a single phospholipid molec...
Figure 2-3: Phospho-lipid molecules assemble to form the plasma membrane.
Figure 2-4: Two neurons from a rabbit retina: a starburst amacrine cell (left), and a...
Chapter 3
Figure 3-1: The sodium-potassium pump creates a disequilibrium between sodium and ...
Figure 3-2: Event sequence underlying action potential, including voltage across the ...
Figure 3-3: Electrical model of the distributed membrane resistance and capacitance...
Figure 3-4: Types of glia cells (microglia, astrocytes, and myelin-producing Schwa...
Chapter 4
Figure 4-1: Structure, molecules, and sequence for neuro-transmitter release.
Figure 4-2: Gap junction synapses.
Chapter 5
Figure 5-1: An antagonistic flexor-extensor muscle pair.
Figure 5-2: Myosin-action movement in a sarcomere.
Figure 5-3: The alpha motor neuron axon terminal at the end plate.
Figure 5-4: A spinal reflex neural circuit.
Chapter 6
Figure 6-1: The spinal cord in relation to the vertebrae of the back.
Figure 6-2: Spinal cord segments and some of their functions.
Figure 6-2: Spinal cord segments and some of their functions.
Figure 6-3: Gray and white matter inside the spinal cord.
Figure 6-4: Spinal cord tracts.
Figure 6-5: The cerebellum.
Figure 6-6: Divisions of the cerebellum.
Figure 6-7: The autonomic nervous system.
Chapter 7
Figure 7-1: The brainstem: medulla, pons, and midbrain.
Figure 7-2: Medulla cross section.
Figure 7-3: Midbrain superior and inferior colliculi.
Figure 7-4: Neocortex, mesocortex, and allocortex.
Figure 7-5: The limbic system.
Figure 7-6: The hippocampus.
Figure 7-7: A hypnogram.
Figure 7-8: EEG sleep patterns during different stages of sleep.
Chapter 8
Figure 8-1: Coronal brain section showing basal ganglia.
Figure 8-2: Organization of the basal ganglia.
Figure 8-3: SMA (internal) and PMC (external) motor control circuits.
Chapter 9
Figure 9-1: Lobes of the neocortex.
Figure 9-2: Three ways to section brain.
Figure 9-3: Neocortex gray matter and layers.
Figure 9-4: Thalamic–cortical connections.
Figure 9-5: Neocortex: controller or subroutine?
Figure 9-6: The evolution of the prefrontal cortex.
Figure 9-7: Brodmann areas of the neocortex.
Chapter 10
Figure 10-1: Focusing light by the eye.
Figure 10-2: Distribution of rods and cones in the retina.
Figure 10-3: The neural circuit in the retina.
Figure 10-4: Cone spectral sensitivity curves.
Figure 10-5: Retinal projections to the thalamus and visual cortex.
Figure 10-6: The anatomy of the auditory system.
Chapter 11
Figure 11-1: Mechano-receptors in the skin.
Figure 11-2: The somatosensory cortex.
Figure 11-3: Olfactory receptors and the olfactory bulb.
Figure 11-4: Projections of the olfactory bulb.
Figure 11-5: Taste receptors on the tongue.
Figure 11-6: Central projections for taste.
Chapter 12
Figure 12-1: A memory taxonomy.
Figure 12-2: Cortical inputs to the hippocampus.
Chapter 13
Figure 13-1: The organization and connections of major cell types of the cerebellum.
Chapter 14
Figure 14-1: Correlated firing.
Figure 14-2: Language areas of the brain.
Chapter 15
Figure 15-1: Meiosis.
Figure 15-2: Structures of the developing nervous system.
Figure 15-3: Radial glia and neural migration form neocortex minicolumns.
Cover
Title Page
Copyright Page
Table of Contents
Begin Reading
Index
About the Author
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Life existed for a long time on earth before human intelligence. Does our planet just happen to be the only one whose conditions make life possible? Or are we one of billions of planets that sustain life? If little green men in flying saucers showed up, we could ask them the answer. But failing that, and without any conclusive evidence, we don’t really know.
The data we do have that we can examine is that life originated at least once here on earth very shortly after conditions appeared to be suitable to support it. More than three billion years after that, we humans appeared as a result of an almost uncountable number of life cycles, mutations, and reproductions.
This book is about the essential essence of humans as an intelligent life form — the nervous system. We can and do ask many questions about the nervous system, but here are three of the big ones:
What does our nervous system have in common with that of other animals?
How is our nervous system different from that of other animals?
What differences between humans are associated with differences in their nervous systems?
Neurobiologists have some answers to all three of these questions. We know that neurons are specialized cells with some functions specific to neurons, and others similar to most other cells on earth. We also know that nervous systems have similar organizational themes and methods of communication across all animal species. On the other hand, the nervous systems of mammals and primates are vastly more complicated than those of invertebrates and even of cold-blooded vertebrates. Finally, we know that small genetic differences and life experiences can produce significant changes in the behavior of identical twins that otherwise have almost identical brains.
This book attempts to explain in ordinary language how neurons work, how neurons make nervous systems, and how nervous systems produce intelligence and complex behavior.
This book starts with basic concepts and builds off of them. It first discusses cells and their origin and functions, then deals with basic brain anatomy made from those cells, and finally describes specialized systems for sensation, movement, and cognition.
The way this book is organized allows you to find the information you need quickly, whether you want to look up information on a neural dysfunction of a friend or relative who has Alzheimer’s or Parkinson’s diseases or you want to find out what the brain’s thalamus actually does.
Besides being a resource for any non-scientist inquisitive about the brain and nervous system, this book may be a useful accompanying text for students in undergraduate neurobiology courses because it’s both modular and functional. For example, many books talk about brain anatomy using massively long lists of obscurely named brain nuclei and tracts, but they don’t try to help you understand all these components as a functional system. Perception and behavioral neuroscience courses often neglect important aspects of cognitive processing, while cognitive science texts often give you little information about how neural activity actually supports cognition. This book is different. This book uses plain language and some very simple diagrams to show how important parts of the brain and nervous system function.
Sidebars (text in gray boxes) and anything marked with a Technical Stuff icon are skippable. Also, within this book, you may notice some web addresses breaking across two lines of text. If you’re reading this book in print and you want to visit one of these web pages, simply key in the web address exactly as it’s noted in the text, pretending as though the line break doesn’t exist. If you’re reading this as an e-book, you’ve got it easy — just click the web address to be taken directly to the web page.
As I wrote this book, I made some assumptions about you, the reader:
You may be looking for information about a neurological disease or dysfunction, possibly affecting someone you know. You want access this information quickly in easy-to-understand chunks.
You may be taking a college or professional course that covers some aspect of brain function, but the course or the text for the course doesn’t provide enough background information.
You may be a beginning student in neuroscience, neurology, or neurosurgery who has already learned what’s in this book but you need to look up the basics quickly, maybe to explain it to a layperson. (
Warning:
If your patients notice you rifling through a copy of this book before recommending treatment options, they might request a second opinion.)
I use icons in this book to help you find specific kinds of information. They include the following:
Anything marked with a Tip icon is a piece of information about an area of neurobiology that’s often misunderstood or easily confused.
The Remember icon highlights key concepts and principles that you need to remember to understand other areas of neurobiology.
The Research icon is about key studies that led to our current understanding of neurobiology. Sometimes pieces of research are just beautiful in their own right for their elegance and simplicity. Research info bits are nice to drop in conversations at cocktail parties — if you party with people nerdy enough to know a fair amount of neurobiology, at least.
The Technical Stuff icon is about a recent or surprising finding that is not necessarily crucial to understand the chapter but is interesting or counterintuitive in its own right. You can skip these paragraphs and get by just fine, but you may miss some of the more interesting products of research.
In addition to the material in the print or e-book you’re reading right now, this product also comes with some access-anywhere goodies on the web. Check out the free Cheat Sheet at www.dummies.com/cheatsheet/neurobiology for interesting information on whether paralysis can be cured, whether the mind can be downloaded, whether cyborgs are possible, and more.
Also, check out www.dummies.com/extras/neurobiology for articles on everything from where consciousness exists in the brain to how vision can be restored to the blind.
You can start reading this book anywhere — you don’t have to read it in order from beginning to end. Still, Chapter 1 is a great place to start if you’re looking for an introduction to neurobiology. For more on common diseases and disorders, turn to Part IV. And if you’re short on time, Chapters 19 and 20 pack a powerful punch in not many pages.
I’m always interested in hearing from readers, so whether you find an error or you’d like to make any other comments about this book, feel free to contact me at [email protected].
Part I
For Dummies can help you get started with lots of subjects. Visit www.dummies.com to learn more and do more with For Dummies.
In this part …
Find out what makes neurons different from other cells in the body.
Discover the genetics common to all cells and what happens when neurons have genetic mutations.
See what neurons need in order to be able to detect and respond to other neurons, substances in the environment, and energy.
Look at how neurons communicate with each other using electrical current flowing through ion channels.
Chapter 1
In This Chapter
Getting to know the neuron
Finding out how the nervous system is organized
Feeling cerebral with thoughts, learning, and memory
Seeing the effects of mental illness and developmental problems
What makes you you? Your brain, most people would answer. Then what is it about your brain that makes you you? The brain is made of neurons. Worms have brains with neurons. So do dogs and monkeys. What about the brain distinguishes these animals from each other, and for that matter, one human from another? Is it more neurons, different neurons, special neural circuits?
Neurobiologists would like to answer all these questions, but they can’t yet. Thousands of them at universities all over the world are working on these problems. They have many hypotheses and data sets. This book, in a way, is a progress report on their efforts.
Virtually all neurobiologists believe that intelligence comes from nervous systems that are broadly programmed by genes and fine-tuned by experience. Generally, the human genetic program creates a brain with more neurons than any other animal, allowing for richer experience to produce a unique kind of intelligence.
This chapter gives an overview of the brain, its functions, and its parts. It also looks at why humans are like many other animals, such as primates, because of similarities in our brains, and what differences in the human brain may distinguish us from other species, and from each other.
Neurobiology is the study of neurons and nervous systems, such as brains. Neurons are cells. Like other cells, neurons interact with the external world and other cells through specialized receptors in their membranes and through biochemical processes inside their cytoplasm and nucleus.
Neural capabilities evolved from those of single-celled organisms, like bacteria and paramecia, which use membrane sensors to detect food and toxins, and cilia to move toward food and away from toxins. Single-cell organisms may also change their internal metabolism upon ingesting particular substances from the environment.
Multicellular organisms consist of different types of cells that are specialized to do things like secrete hormones or digestive enzymes. They depend on other cells for nutrients, waste removal, and the maintenance of a supportive environment. Neurons are specialized cells in multicellular organisms that, among other things, enable rapid communication across the large distances from one end of an animal to another. This allows the animals to perform coordinated movements and to act upon sensing the surrounding environment.
According to astronomers and astrophysicists, the universe as we know it came into existence about 14 billion years ago. After several cycles of star formation, our solar system, including the earth, formed about 4.5 billion years ago. The earth was too hot for life for about a billion years, as it continued to be bombarded by the solar system debris from which it was formed.
Eventually most of the solar system debris stuck to one or another planet, or stabilized in relevantly permanent orbits such as the asteroid belt between Mars and Jupiter. Earth cooled for about 1 billion years, and life arose. No one knows how. Some scientists are suspicious that life arose almost as soon as the earth was cool enough, suggesting either that it must occur almost automatically given the right conditions, or it came from elsewhere and established a foothold as soon as it was possible.
The living things that arose at the 1-billion-year mark were single-celled prokaryote cells that lack a nucleus, such as bacteria we have today. Life stayed unicellular for a long time after that. This doesn’t mean that no progress was made, though. Undoubtedly the single cells that existed at the time of evolution to multicellularity were more sophisticated and diverse than those that could be found when life originated.
All life forms carry out metabolism, using energy to build proteins and other cell constituents. The proteins in all cells are coded for by the same DNA coding scheme (see Chapter 2), one piece of evidence that argues for a common origin of all life. A particularly important type of protein that all cells make is an enzyme. Enzymes cause specific reactions such as cleaving proteins at a particular place or joining proteins to other molecules.
Many of the DNA sequences, proteins, and reactions that exist in multicellular organisms are similar to those in single-celled organisms. This apparent conservation of biochemistry is an important argument for life having a common origin.
A fundamental property of cells is that they have membranes that separate their insides from the external environment. What makes a cell what it is and does relies significantly on the receptors it has in its membrane and how they respond to external substances and energy inputs.
Cellular responses to substances that bind membrane receptors include biochemical cascades inside the cell, and, in neurons particularly, electrical activity. A significant percentage of all animal genes code for proteins that compose hundreds of different types of membrane receptors.
About 1 to 2 billion years after single-cell life arose, some single-cell life forms developed nuclei and became what are called eukaryotes (cells that have a nucleus). Soon after eukaryotes appeared, multicellular organisms came on the scene.
Plant-like multicellular organisms probably arose from aggregations of single cells in shallow ocean areas. These multicellular organisms diversified over more than a billion years. About half a billion years ago, 4 billion years after the earth formed, land plants and animals that we would recognize as such appeared from these multicellular ancestors.
Multicellularity has advantages and disadvantages. Multicellular organisms can be big, have specialized sensors, and move around and ingest single-celled organisms. But movement requires coordination, and the environment of the cells at the periphery of the organisms is quite different from that of those in the middle.
Multicellularity allowed organisms to have cells specialized not only for niches in the external environment, but also for the internal environment created by the structure of the organism itself. Neural cells evolved as sensors, movers (muscles), and communicators.
Neurons have some functions that are like all other cells, including those of many single-celled organisms. These include taking in energy through glucose, and oxygen to fuel metabolism. Neurons also excrete metabolic waste products and carbon dioxide. Many of these functions are carried out by membrane receptors and transporters, some of which are highly conserved across the evolution of life on earth. But neurons adapted many functions that single cells use to interact with the environment in order to interact with each other.
Even primitive single-celled and small multicellular organisms respond to the effects of other organisms around them. This happens via their metabolic waste products that signal overcrowding or the depletion of food resources. Neurons evolved the ability to include some specific substances in their waste excretions to signal to other neurons about the state of some part of the organism.
These signaling substances evolved to be secreted specifically into the extracellular space around cells in multicellular organisms as hormones. The next step was the extension of a cellular process, such as an axon, from one cell to the vicinity of several distant specific cells where a specific signaling substance, called a neurotransmitter, was released. Now, instead of a multicellular signaling soup, there are circuits.
Although single-celled organisms have membrane receptors that can detect light, heat, and pressure, multicellular organisms devote large, complex cell systems for detecting these and other forms of environmental energy. Cellular systems allow the production of lenses in the visual system for seeing and mechanical amplification in the auditory system for hearing, to name but two examples. Cellular systems in multicellular organisms allow energy detection to be amplified and differentiated, which supports nuanced, complex behavioral outcomes based on the detection.
Single cells move via cilia, flagella, and other mechanisms such as amoeboid movement. Multicellular organisms use cilia to move substances within the body, but moving the entire body requires other mechanisms.
Cilia are common in multicellular organisms. Motile cilia on cells in the lungs remove debris by carrying it up the windpipe. Immotile or primary cilia have evolved in many multicellular animals into sensory receptors, such as photoreceptor outer segments where the light-absorbing photopigment molecules are located. Auditory hair cells and some olfactory receptors may also be derived from cilia. Flagella are used by sperm cells to propel themselves. However, moving an entire large body via cilia or flagella is not very effective, particularly on land.
Animals evolved specialized cells called muscle cells, for movement. Muscle cells work by contracting. In voluntary skeletal muscle, muscle cells contract by being driven by motor neurons. A large group of contracting muscle cells pulls on a tendon that is attached to a bone, moving the joint.
Neurons are necessary for coordinated movement in multicellular animals. Different muscles must be contracted in an organized manner, and information from the senses must be sent to remote parts of the body neurons to coordinate movement.
Neurons accomplish their role of coordinating and communicating activity across the body though chemical communication and electricity. The electrical properties of neurons allow them to communicate information precisely across long distances to specific target cells. In the case of connections to muscles, motor neurons produce movement by inducing their target muscle cells to contract.
Nervous systems are complex and hard to study. The human brain has been estimated to contain about 100 billion cells (a recent estimate that used a novel method of counting neural nuclei in emulsified brains produced a figure of 86 billion). All these neurons likely have from 100 trillion to a quadrillion synapses between them. This presents the challenges that we don’t know how single cells work, really, and we don’t know or cannot even count all the connections between them. So, where do we start?
People often wonder why scientists study the nervous systems of flies, worms, and squids. The reason is that these systems often have advantages in that the cells are fewer, bigger, or more amenable to genetic manipulation. Hodgkin and Huxley won the Nobel Prize for deducing the ionic basis of the action potential in the squid giant axon, which is almost a millimeter in diameter and can be handled and impaled with microelectrodes. It is also possible to squeeze out its internal contents and replace them with a specified salt solution by which it could be determined which ions flow which way through the membrane during electrical activity.
Many invertebrates such as worms and insects have less than a few thousand neurons that are more or less the same from animal to animal. Individual neurons in specific places are even numbered and named in some species. This vastly simplifies the problem of working out a complete neural circuit, including which neurotransmitters are used by which neurons to activate other neurons, and how all the electrical activity is integrated.
Recent progress has been made in making model systems from mammals, using either brain slices or neural tissue cultures that can be mounted on a microscope and recorded and stimulated under well-controlled conditions.
Many scientists feel that we only understand a system when we can simulate it. This involves creating an artificial nervous system that simulates some properties of real ones. In robotics, behavior is simulated. A robot may perform some task, like welding in a car factory, that is otherwise done by intelligent humans. The electronic controllers of such robots can involve the use of neuron-like elements called artificial neural nets (ANNs) that emulate biological control systems. However, most controllers are written in standard computer languages using mathematical algorithms that may function quite differently from biological organizations.
Bionics is the field of applying biological principles of operation to man-made devices. An airplane is a bionic derivative of bird flight, which, however, differs in using engines for thrust rather than flapping wings. A recent use of bionics in computation involves devices called memristors that are integrated circuit devices that act like modifiable synapses between neurons. At this point, it’s unclear whether memristors devices will have advantages for computing compared to traditional electronic computation done with transistors. They may, however, become a useful tool for simulating complex nervous systems to understand them.
The study of the nervous system intrinsically involves many fields. Neurobiology, our focus here, depends on physiology, anatomy, biochemistry, molecular biology, cognitive and behavioral psychology, and artificial intelligence. The basic goals of neurobiology are to describe how the nervous system operates in terms of what the system does, how it’s built, and how it works. We try to do these things by considering first various subsystems of the brain and nervous system, and then looking carefully at function in the neural circuitry within those subsystems.
Chapter 5 deals with the main purpose of the nervous system, the production of movement. Generally, animals move and have nervous systems to control movement, whereas plants don’t. Voluntary movement, controlled by the central nervous system, involves the contraction of striated muscle triggered by the receipt of acetylcholine, a neurotransmitter released by motor neurons.
Individual muscles are made of thousands of muscle cells innervated by several different types of motor neurons. The contraction of the muscle is produced by the coordinated activity of all these motor neurons that fire in a specified sequence and rate depending on the type of movement programmed, its speed, duration, and variation in load the limb experiences as it moves. Differences or errors between the central commands and actual limb position and acceleration are reported by sensory neurons in the muscles, tendons, and joints that relay this information to the spinal cord in a feedback loop that adjusts the motor neuron output to match the upper-level command goal.
The entire frontal lobe of the brain exists primarily to program and organize goal-directed movement. An abstract goal, such as hitting a tennis ball back into your opponent’s court, is translated into a sequence of leg, torso, and arm movements to accomplish this goal. These sequences are programmed into the motor cortex following practice. This practice involves learning sequence timing with the help of the cerebellum. The cerebellum is involved in learning and setting up predictive, feed-forward control for appropriate timing of sequences that transition more rapidly than feedback spinal sensory control could correct.
The spinal cord is like a subcontractor of the brain that executes the brain’s instructions and reports on their progress. The spinal cord is part of the central nervous system, contiguous with it as it merges with the medulla of the brainstem. Chapter 6 discusses its basic organization.
The spinal cord is the transition below the neck between the central and peripheral nervous systems. The peripheral nervous system includes the motor neuron axons that originate within the spinal cord gray area and project from the cord to synapse on muscle cells. Sensory neurons — whose cell bodies are located in dorsal root ganglia just outside the spinal cord — send one axon collateral to the periphery to elaborate into a sensory receptor, while the other collateral makes conventional synapses in the spinal cord gray area for both local circuit spinal feedback control and for relaying sensory information to the brain.
The autonomic and enteric nervous systems are involved in body homeostasis (keeping the body’s major systems stable and functioning) through controlling glandular secretions, heart rate, respiration, and smooth muscle function. The autonomic nervous system has major subdivisions into sympathetic and parasympathetic branches that tend to oppose each other’s actions. The sympathetic system prepares us for action in the fight-or-flight mode, while the parasympathetic system organizes resources for digestion, and the maintenance and conservation of energy.
When we look at a human brain from above, almost all that we see is neocortex. Students beginning to study the brain often mistakenly think that the neocortex is the real, important part of the brain that has largely superseded phylogenetically older structures that are now almost vestigial and unnecessary (like the appendix).
This is an understandable mistake. However, non-mammalian vertebrates like lizards, frogs, and crocodiles execute complex behavior without any neocortex. Some mammals have very little neocortex as well. The relationship between the neocortex and “lower” brain areas is as much their servant as master, an idea Chapter 7 explores.
The brainstem is not only a transition region between the spinal cord and higher brain centers, but an essential integration and control center by itself. The brainstem includes the medulla at the intersection with the spinal cord, the pons just above the medulla, and the midbrain above that. The cerebellum hangs off the back of the brain behind the pons. The brainstem nuclei convey information between the senses and the spinal cord and higher brain centers. Brainstem nuclei also control essential aspects of homeostasis such as the regulation of heart rate, respiration, and temperature.
Limbic system is an archaic term for a diverse set of subcortical brain areas that are thought to control instinctive behaviors. Areas included in the limbic system’s original formation include the hippocampus, amygdala, and cingulate cortex. Chapter 7 discusses how these areas interact with neocortex and other parts of the brain, not as a modular system, but as a set of crucial brain areas each with distinct functions.
The hypothalamus sits just above the pituitary gland and receives sensory input from the autonomic nervous system. It controls many homeostatic processes (such as circadian rhythms — the body’s internal “clock”) by secretions of hormones into the bloodstream and by projecting to the pituitary, which itself secretes hormones.
The reticular formation is a diffuse network of neurons and axon tracts that runs through the brainstem up into portions of the thalamus. This area controls body state through processes such as controlling wakefulness versus sleep, alertness, and homeostatic mechanisms such as heart rate.
Chapter 8 takes up the basal ganglia, major controllers of behavior. The major basal ganglia nuclei include the caudate and putamen, which together make up the input region called the striatum. The globus pallidus is the major basal ganglia output to the motor portion of the thalamus, which projects and receives input from motor areas in the frontal lobe. The basal ganglia nuclei interact extensively with the substantia nigra in the midbrain, and the subthalamic nucleus.
The cerebellum is a motor learning and coordination center. It receives sensory input from spinal sensory neurons and cranial nerves of the vestibular and visual systems. Its major output is to motor thalamus that projects to frontal motor cortex. The cerebellum is necessary for learning coordinated, well-timed movements. It operates as a feed-forward controller that generates error signals used to reprogram motor areas such as premotor cortex to generate appropriate limb movements.
Two frontal areas just anterior to primary motor cortex, the supplementary motor area (SMA) and premotor cortex (PMC), contain motor programs that command and coordinate multi-limb movements to accomplish goals. One main difference between these two areas is that motor programs in SMA tend to be those that we can learn to do with little sensory feedback, such as typing. PMC control tends to occur when sequences are being learned, and depends more on peripheral feedback and cerebellar error signals.
The thalamus is often called the gateway to the neocortex, since all senses — except for some of olfaction (the sense of smell) — relay through it. But the neocortex projects back extensively to the thalamus. These back projections come from “higher” cortical areas, as well as from the primary areas that receive inputs from that area of the thalamus.
The gateway metaphor for the thalamus implicitly makes the neocortex the real seat of neural control and computation. The thalamus is the modulator of transmission to the cortex, emphasizing some pathways at the expense of others as a mediator of attention. A different metaphor for thalamic-cortical interactions is that the thalamus is running the “main” program, which makes “subroutine” calls to the neocortex for some detailed neural computations. This makes processing in the thalamus the primary controller of brain activity, including consciousness (see Chapter 14). Activity in the neocortex becomes the content of that consciousness. It’s too early to say whether this subroutine metaphor will be as useful as the gateway metaphor has been.
The neocortex is one of the most important “inventions” of mammals. It dominates the mammalian brain in volume, particularly in primates. One of the most remarkable properties of the neocortex is that it has the same six-layered structure virtually everywhere, with the same cell types in what appears to be the same general minicolumn circuit. This is in stark contrast to the rest of the brain, where each area tends to have its own distinct set of cell types and neural circuits.
Mammals became the dominant land animals on earth after the demise of the dinosaurs about 65 million years ago. Some neurobiologists conjecture that mammals were able to rapidly diversify into all the niches abandoned by the extinction of the dinosaurs, as well as many new ones, by expanding the standard neocortex circuit for processing whatever visual, auditory, or fine motor acuity that niche demanded.
Neocortical processing power is primarily a function of area. Increased area in neocortex has two main uses:
Increasing “acuity,” whereby, for example, a larger area can support a higher density of peripheral receptors, such as retinal ganglion cells in the fovea or mechanoreceptors in the fingertips.
Increasing the number of processing stages in a hierarchy of “association” areas that are increasingly specific and powerful with respect to particular features. Examples are the fusiform face area that allows you to instantly identify thousands of faces that all have the same major features (eyes, nose, mouth) in the same relative positions.
The expansion of the neocortex is reminiscent of the transition in the 1960s from analog to digital computers. When vacuum tubes and then transistors were made and handled individually, the most efficient control circuits were those in which a small number of devices modeled the control environment and generated a continuous control output from continuous inputs via the model.
But when integrated digital circuits arose using thousands and millions of transistors, it became more efficient to represent the control environment on standard microprocessors using software. This provided the advantages of acuity (insensitivity to transistor parameter values) and adaptability (software can be changed and augmented easily). The commonality of the representation and transformation of information in the cortical minicolumn appear to be an essential basis of its success in taking over the brain, and in mammals, including humans, taking over the earth.
Different parts of the brain do different things. The front of the brain in the frontal lobe controls movement, the back and sides of the brain process sensory information. Specialized memory areas perform certain memory functions — the hippocampus and amygdala, for example. Chapters 10 through 14 deal with pathways and brain areas that process sensory information and memory, and produce motor output and thought.
The standard list of five major senses consists of vision, hearing, skin sensation, taste, and smell. The senses of limb position (called proprioception) and limb movement and acceleration (called kinesthesis) are built along similar lines and pathways with skin sensation.
Chapter 10 deals with vision and audition, starting with the peripheral receptors in the eye and ear, and marching up the projection pathways through the thalamus and onto primary, secondary, and higher-order cortical processing areas. In many mammals, particularly primates, visual processing dominates the brain — so much so that just less than 50 percent of the neurons in the brain have their activity modulated by visual input. In both vision and audition, high-order brain areas process complex inputs, such as face-specific neurons in inferotemporal cortex in vision, and language’specific areas in audition such as Wernicke’s area.
Skin sensation is composed of a group of different types of sensory capabilities controlled by different receptors in the skin and a few other places, such as the mouth and trachea. Mechanoreceptors detect shallow and deep pressure, applied constantly or intermittently. Cold and warm temperature receptors respond to skin temperatures below or above body temperature. Pain receptors respond to mechanical or chemical inputs likely to cause injury.
The sense of smell is mediated by several thousand different receptor types in the olfactory organ in the roof of the nasal cavity. Evolutionary evidence suggests that some of the earliest neocortex in mammals may have been devoted to sorting out and identifying what produced the smells detected by the olfactory receptors.
A dog has about one billion olfactory receptors, a number comparable to the total number of neurons in its entire brain. I’m sure my dogs sniffing around the yard every morning know what was there last night, and probably when, and probably what each critter did, from the smells left over.
The olfactory system is unique in being divided between a pathway that projects (although indirectly) through the thalamus, of which we are aware, and a pathway that is non-thalamic, which influences our behavior, but of which we are not directly aware.
The sense of taste is mediated by salt, sweet, sour, and bitter receptors located mostly on the tongue. Some taste researchers also include the MSG taste, umami, as a fundamental taste.
A behavioral hallmark of mammals is they can change their behavior through learning. High-level learning involves a neural representation of both an event and its context. Much of this representation occurs in the lateral prefrontal cortex as what is called working memory. This area of cortex has extensive connections with the hippocampus, where modifiable synapses containing NMDA receptors abound. Reciprocal connections between the hippocampus and the neocortical areas that originally represented that which is to be remembered instantiate the memory “trace” back in those areas of the neocortex.
The finding that the neocortex represents both original sensory input and its memory has profound implications for understanding what memory is. Many neuroscientists now believe that memory is intrinsically reconstructive — a hallucination, if you will. This is a very different metaphor from the token look up and address model taken from computer science. One important aspect of the reconstructive aspect of memory is that the act of reconstruction can distort the memory. Suggestions, guesses, and events after the memory can affect the reconstruction such that they become part of, and indistinguishable from, subsequent reconstructions.
The neurobiology of memory depends both on modifiable synaptic weights, such as with NMDA receptors in hippocampus and cortex, and the creation of new neurons in memory areas such as the hippocampus. The discovery of the birth of neurons in the adult hippocampus overturns the old idea of zero neurogenesis in the adult brain. Some senile dementia and even depression appear to be associated with failure of this mechanism.
The frontal lobes are responsible for planning and executing behavior. Generally speaking, the output of the frontal lobe is in its most posterior portion, the primary motor cortex. Neurons in primary motor cortex send their axons down the spinal cord (or out some cranial nerves) to drive motor neurons that cause muscles throughout the body to contract.
Anterior to the primary motor cortex are the supplementary motor area and premotor cortex that organize the firing of groups of muscles. Anterior to those areas are the frontal eye fields and other areas called prefrontal cortex (even though they are in the frontal lobe) that are involved in more abstract aspects of planning.
It is generally held that there is relative expansion of the frontal lobe compared to the rest of the brain in humans compared to other primates, and primates compared to other mammals. Some exceptional non-primate mammals such as the echidna have large frontal lobes, however. This has led to debate among neuroscientists about whether these frontal areas are really homologous across mammalian species. Whatever the result of that debate, we know that damage to prefrontal cortex in humans produces distinctive cognitive deficits such as impulsive behavior and profound changes in affect.
True grammatically ordered language distinguishes humans from all other species on earth. Recent evidence has suggested an important role for a gene called FOXP2 in generating language capability, although how this gene changes the brain to allow language isn’t clear.
The human brain does not contain any distinct anatomical structures or types of neurons associated with language. The human brain areas most crucial for language, Wernicke’s and Broca’s areas on the left side (in most humans), have homologous areas in other primates, but these areas do not support language. Yet all normal human infants learn, without any explicit instruction, whatever language to which they are exposed, but other animals do not learn grammatical, word-order based language despite extensive instruction.
The capacity for learning language is built in, but neuroscience does not now know how. One clue may be brain lateralization, however. Left- versus right-side specialization for some types of audio processing and production exists in other mammals, and even some birds, but is nowhere near as extensive as in humans.
A similar association exists with right-hand dominance, driven by the left side of the brain, which is more extensive in humans than any other animal. Chimpanzees, for example, may be relatively right- or left-hand preferring, but most have no overall tendency to be strongly right-handed or left-handed, the way humans do.
Neuroscience’s view of emotions has changed markedly in the last decades. Earlier views regarded emotions as leftovers from our evolution from non-rational species. Star Trek’s Mr. Spock could be taken as a model of a superior, more evolved humanoid. However, we now know that emotions are a means of nonverbal communication within our brains. Hunches and anxiety in certain situations are signs of danger and the need to be cautious.
We see the usefulness of this nonverbal information in people with damage to the orbitofrontal cortex or amygdala. They may gamble recklessly or commit social faux pas because they lack internal feelings about the mistakes they’re making.
One of the most important reasons to understand neurobiology is to understand mental disorders and treatments. The good news is that great progress is being made in this field now. We know the genetic bases of many developmental disorders, such as Fragile X and William’s syndrome. The bad news is that many disorders remain that we do not know about, and, even among disorders with known genetics, how the gene alteration produces the disorder, and what to do about it, are not clear. Chapters 15 through 18 discuss the background and current treatment approaches (if any) of many common neurological disorders.
The set of genes that define an organism is not a blueprint that is executed by a builder, but a set of procedures that brings about the development of the organism.
A useful metaphor is an ant hill or termite mound. No master ant or termite knows how to build a hill or mound and directs the other insects. Instead, ants and termites respond to each other, and to the environment, by digging holes and gluing arches together. Some holes and arches reach a critical mass that causes nearby insects to concentrate on those structures and related structures, which triggers the completion of the insect home as though its builders were following a design.
Developing cells have genetically coded responses to substances they detect by their membranes or ingest, including cell identity and brain location marker molecules. Cell responses include movement, division, and secretion of other markers and agents. The interactions among cells that have these responses in the embryological environment builds the brain.
Much of the genome is only expressed extensively during development, a time when the organism is also particularly susceptible to toxins that mimic or interfere with these markers and agents. The result of this interference is the construction of an improperly set-up brain, which is typically much worse than inferring temporarily with a properly constructed brain later in life, which often can be reversed.
Movement disorders can originate with brain damage that compromises the control of movement, or neurons that drive muscles, or the muscles themselves. Chapter 16 discusses some of the most common movement disorders. Cerebral palsy and epilepsy typically involve brain damage. Multiple sclerosis is caused by demyelination of axons of motor and other neurons. Myasthenia gravis is an autoimmune disease involving the cholinergic receptors on muscle cells.
Some well-known movement disorders, such as Parkinson’s and Huntington’s diseases, occur only later in life. Neither of these diseases is curable, but a number of treatments can partially alleviate the symptoms of Parkinson’s disease. Accidents involving brain or spinal trauma still produce many cases of paralysis every year. Extensive research efforts using stem cells, neural growth factors, and electrical stimulation continue to be made for these problems.
The history of clinical thought on mental illness is a pendulum ride between organic and environmental causes. In the United States, particularly, the dominance of behaviorism in academic psychology and psychiatry was associated with behavioral and cognitive therapeutic strategies based on “undoing” some sort of bad environmental influence or improper response to a relatively normal environment.
Knowledge of genetics, neurotransmitter systems, and the development of neurotransmitter-analog drugs led to pharmacological treatments that were at least partially effective in many psychiatric patients for whom traditional therapy had provided no relief. Schizophrenia and autism are cases in point. In the mid 20th century, the detection of schizophrenia or autism often was treated by family therapy sessions around behavioral theories such as withdrawn, uncaring so-called “refrigerator mothers” being the cause of these disorders.
It is now clear that both schizophrenia and autism have high heritability, although environmental factors are undoubtedly important in the expression and outcome of the disorder. Pharmacological agents deal well with many of the positive symptoms of schizophrenia such as hallucinations. But both schizophrenia and autism have multiple genetic causes, and the relation between the genetic anomaly and the neural dysfunction leading to the phenotype are poorly known. This situation is unfortunately also the case with many other mental disorders, including depression.
Humans increasingly are electronically connected to each other through computers, cellphones, and soon, wearable devices like watches and electronic eyeglasses. It may be a short time before some of this technology is implantable. Brain implants may allow people who are paralyzed to operate computers or control their own or prosthetic limbs.
Deep brain stimulation, originally used widely to relieve Parkinson’s disease symptoms, may also be effective in treating some types of depression. Transcranial magnetic stimulation may also mitigate depression without many of the side effects of electroconvulsive therapy (ECT, commonly referred to as “shock treatment”). Transcranial electrical stimulation has been shown in numerous studies to increase learning rates. A new term electroceuticals has been introduced for the field of electrical brain stimulation for therapeutic effect. Brain scientists live in exciting times!