Human brain
Human brain and skull
Cerebral lobes: the frontal lobe (pink), parietal lobe (green) and occipital lobe (blue)
Details
PrecursorNeural tube
SystemCentral nervous system
Neuroimmune system
ArteryInternal carotid arteries, vertebral arteries
VeinInternal jugular vein, internal cerebral veins, external veins: (superior and inferior cerebral veins, and middle cerebral veins), basal vein, terminal vein, choroid vein, cerebellar veins
Identifiers
LatinCerebrum[1]
Greekἐγκέφαλος (enképhalos)[2]
Anatomical terminology

The human brain is an organ of the human central nervous system. It is located in the head, protected by the skull. It has the same general structure as the brains of other mammals. Large animals such as whales and elephants have larger brains in absolute terms, but when measured using a measure of relative brain size, which compensates for body size, the quotient for the human brain is almost twice as large as that of a bottlenose dolphin, and three times as large as that of a chimpanzee, though the quotient for a treeshrew's brain is larger than that of a human's.[3] Much of the size of the human brain comes from the cerebral cortex, especially the frontal lobes, which are associated with executive functions such as self-control, planning, reasoning, and abstract thought.

The human cerebral cortex is a thick layer of neural tissue that covers the two cerebral hemispheres that make up most of the brain. This layer is folded in a way that increases the amount of surface area that can fit into the volume available. The pattern of folds is similar across individuals but shows many small variations. The cortex is divided into four lobes – the frontal lobe, parietal lobe, temporal lobe, and occipital lobe. (Some classification systems also include a limbic lobe and treat the insular cortex as a lobe.) Within each lobe are numerous cortical areas, each associated with a particular function, including vision, motor control, and language. The left and right hemispheres are broadly similar in shape, and most cortical areas are replicated on both sides. Some areas, though, show strong lateralization, particularly areas that are involved in language. In most people, the left hemisphere is dominant for language, with the right hemisphere playing only a minor role. There are other functions, such as visual-spatial ability, for which the right hemisphere is usually dominant.

Despite being protected by the thick bones of the skull, suspended in cerebrospinal fluid, and isolated from the bloodstream by the blood–brain barrier, the human brain is susceptible to damage and disease. The most common forms of physical damage are closed head injuries such as a blow to the head or other trauma, a stroke, or poisoning by a number of chemicals that can act as neurotoxins, such as alcohol. Infection of the brain, though serious, is rare because of the protective blood-to brain and blood-to cerebral fluid barriers. The human brain is also susceptible to degenerative disorders, such as Parkinson's disease, forms of dementia including Alzheimer's disease, (mostly as the result of aging) and multiple sclerosis. A number of psychiatric conditions, such as schizophrenia and clinical depression, are thought to be associated with brain dysfunctions, although the nature of these is not well understood. The brain can also be the site of brain tumors and these can be benign or malignant.

There are some techniques for studying the brain that are used in other animals that are not suitable for use in humans and vice versa; it is easier to obtain individual brain cells taken from other animals, for study. It is also possible to use invasive techniques in other animals such as inserting electrodes into the brain or disabling certain parts of the brain in order to examine the effects on behaviour – techniques that are unreasonable for use in humans. However, only humans can respond to complex verbal instructions or be of use in the study of important brain functions such as language and other complex cognitive tasks, but studies from humans and from other animals, can be of mutual help. Medical imaging technologies such as functional neuroimaging and EEG recordings are important techniques in studying the brain. The complete functional understanding of the human brain is an ongoing challenge for neuroscience.

Structure

General features

 
Human brain viewed from below

The adult human brain weighs on average about 1.2–1.4 kg (2.6–3.1 lb), or about 2% of total body weight,[4][5] with a volume of around 1260 cm3 in men and 1130 cm3 in women, although there is substantial individual variation.[6] Neurological differences between the sexes have not been shown to correlate in any simple way with IQ or other measures of cognitive performance.[7]

The human brain is composed of neurons, glial cells, neural stem cells and blood vessels. The number of neurons is estimated at roughly 100 billion.[8] During early pregnancy, neurons have shown to multiply at a rate of 250,000 neurons per minute. The adult human brain is estimated to contain 86±8 billion neurons, with a roughly equal number (85±10 billion) of non-neuronal cells. Out of these, 16 billion (or 19% of all brain neurons) are located in the cerebral cortex (including subcortical white matter), 69 billion (or 80% of all brain neurons) are in the cerebellum.[5][9]

The cerebral hemispheres (the cerebrum) form the largest part of the human brain and are situated above other brain structures. They are covered with a cortical layer (the cerebral cortex), which has a convoluted topography.[10] Underneath the cerebrum lies the brainstem, resembling a stalk on which the cerebrum is attached. At the rear of the brain, beneath the cerebrum and behind the brainstem, is the cerebellum, a structure with a horizontally furrowed surface, the cerebellar cortex, that makes it look different from any other brain area. The same structures are present in other mammals, although they vary considerably in relative size. As a rule, the smaller the cerebrum, the less convoluted the cortex. The cortex of a rat or mouse is almost perfectly smooth. The cortex of a dolphin or whale, on the other hand, is more convoluted than the cortex of a human.

The living brain is very soft, having a gel-like consistency similar to soft tofu. Although referred to as grey matter, the live cortex is pinkish-beige in color and slightly off-white in the interior.

Comparative anatomy

 
Human brain viewed through a mid-line incision

The human brain has many properties that are common to all vertebrate brains, including a basic division into three parts called the forebrain, midbrain, and hindbrain, with interconnected fluid-filled ventricles, and a set of generic vertebrate brain structures including the medulla oblongata and pons of the brainstem, the cerebellum, optic tectum, thalamus, hypothalamus, basal ganglia, olfactory bulb, and many others.

As a mammalian brain, the human brain has special features that are common to all mammalian brains,[11] most notably a six-layered cerebral cortex and a set of associated structures,[12] including the hippocampus and amygdala.[13] The upper surface of the forebrain of other vertebrates is covered in a layer of neural tissue called the pallium. The pallium is a relatively simple three-layered cell structure. The hippocampus and the amygdala originate from the pallium but in mammals they are much more complex.

As a primate brain, the human brain has a much larger cerebral cortex, in proportion to body size, than most mammals,[13] and a very highly developed visual system.[14][15]

As a hominid brain, the human brain is substantially enlarged even in comparison to the brain of a typical monkey. The sequence of evolution from Australopithecus (four million years ago) to Homo sapiens (modern man) was marked by a steady increase in brain size, particularly in the frontal lobes, which are associated with a variety of high-level cognitive functions.

Humans and other primates have some differences in gene sequence, and genes are differentially expressed in many brain regions. The functional differences between the human brain and the brains of other animals also arise from many gene–environment interactions.[16]

The neuroimmune system of the brain is structurally distinct from the peripheral immune system, which protects the rest of the body. In particular, the immune system is composed primarily of hematopoietic cells and anatomical barriers, while the neuroimmune system is composed of glia, mast cells, and various brain barriers (e.g., blood–brain barrier and blood-cerebrospinal fluid barrier).

Cerebral cortex

 
Bisection of the head of an adult female, showing the cerebral cortex, with its extensive folding, and the underlying white matter[17]

A characteristic of the brain is corticalization, or wrinkling of the cortex. In the womb, it is smooth. Scientists still do not have a clear answer as to why it later wrinkles and folds, but a number of hypotheses have been proposed.[18] The cerebral cortex forms the thin, outer layer of the largest part of the forebrain, which is called the cerebrum. The cerebrum is the largest part of the human brain.[19][20] It has been estimated that if the human cerebral cortex could be completely unfolded it would give rise to a total surface area of about 2000 square cm.[21] A few subcortical structures show alterations reflecting this trend. The cerebellum, for example, has a medial zone connected mainly to subcortical motor areas, and a lateral zone connected primarily to the cortex. In humans the lateral zone takes up a much larger fraction of the cerebellum than in most other mammalian species.

Corticalization is reflected in function as well as structure. In a rat, surgical removal of the entire cerebral cortex leaves an animal that is still capable of walking around and interacting with the environment.[22] In a human, comparable cerebral cortex damage produces a permanent state of coma. The amount of association cortex, relative to the other two categories of sensory and motor, increases dramatically as one goes from simpler mammals, such as the rat and the cat, to more complex ones, such as the chimpanzee and the human.[23]

A gene present in the human genome but not in the chimpanzee (ArhGAP11B) seems to play a major role in corticalization and human encephalisation.[citation needed] The cerebral cortex is essentially a sheet of neural tissue, folded in a way that allows a large surface area to fit within the confines of the skull. When unfolded, each cerebral hemisphere has a total surface area of about 1.3 square feet (0.12 m2).[24] Each cortical ridge is called a gyrus, and each groove or fissure separating one gyrus from another is called a sulcus.

Cortical divisions

 
Regions of the lateral surface of the brain, and particularly the lobes of the forebrain:
Beigefrontal lobe
Blueparietal lobe
Greenoccipital lobe
Pinktemporal lobe

The cerebral cortex is nearly symmetrical with left and right hemispheres that are approximate mirror images of each other.[25] Each hemisphere is conventionally divided into four "lobes", the frontal lobe, parietal lobe, occipital lobe, and temporal lobe.[25] With one exception, this division into lobes does not derive from the structure of the cortex, though the lobes are named after the bones of the skull that overlie them, the frontal bone, parietal bone, temporal bone, and occipital bone. The borders between lobes lie beneath the sutures that link the skull bones together. The exception is the border between the frontal and parietal lobes, which lies behind the corresponding suture; instead it follows the anatomical boundary of the central sulcus, a deep fold in the brain's structure where the primary somatosensory cortex and primary motor cortex meet.[25]

Because of the arbitrary way most of the borders between lobes are demarcated, they have little functional significance With the exception of the occipital lobe, a small area that is entirely dedicated to vision, each of the lobes contains a variety of brain areas that have minimal functional relationship. The parietal lobe, for example, contains areas involved in somatosensation, hearing, language, attention, and spatial cognition. In spite of this heterogeneity, the division into lobes is convenient for reference. The main functions of the frontal lobe are to control attention, abstract thinking, behavior, problem solving tasks, and physical reactions and personality.[26][27][28] The occipital lobe is the smallest lobe; its main functions are visual reception, visual-spatial processing, movement, and color recognition.[26][27][28] The temporal lobe controls auditory and visual memories, language, and some hearing and speech.[26][27]

 
Major gyri and sulci on the lateral surface of the cortex
 
Lateral surface of the cerebral cortex
 
Medial surface of the cerebral cortex

Although there are enough variations in the shape and placement of gyri and sulci (cortical folds) to make every brain unique, most human brains show sufficiently consistent patterns of folding that allow them to be named. Many of the gyri and sulci are named according to the location on the lobes or other major folds on the cortex. These include:

Functional divisions

Functions of the cortex are divided it into three categories of regions: One consists of the primary sensory areas, which receive signals from the sensory nerves and tracts by way of relay nuclei in the thalamus. Primary sensory areas include the visual area of the occipital lobe, the auditory area in parts of the temporal lobe and insular cortex, and the somatosensory cortex in the parietal lobe. A second category is the primary motor cortex, which sends axons down to motor neurons in the brainstem and spinal cord. This area occupies the rear portion of the frontal lobe, directly in front of the somatosensory area. The third category consists of the remaining parts of the cortex, which are called the association areas. These areas receive input from the sensory areas and lower parts of the brain and are involved in the complex processes of perception, thought, and decision-making.[29]

Cytoarchitecture

 
Brodmann's classification of areas of the cortex

Different parts of the cerebral cortex are involved in different cognitive and behavioral functions. The differences show up in a number of ways: the effects of localized brain damage, regional activity patterns exposed when the brain is examined using functional imaging techniques, connectivity with subcortical areas, and regional differences in the cellular architecture of the cortex. Neuroscientists describe most of the cortex—the part they call the neocortex—as having six layers, but not all layers are apparent in all areas, and even when a layer is present, its thickness and cellular organization may vary. Scientists have constructed maps of cortical areas on the basis of variations in the appearance of the layers as seen with a microscope. One of the most widely used schemes came from Korbinian Brodmann, who split the cortex into 51 different areas and assigned each a number (many of these Brodmann areas have since been subdivided). For example, Brodmann area 1 is the primary somatosensory cortex, Brodmann area 17 is the primary visual cortex, and Brodmann area 25 is the anterior cingulate cortex.[30]

Topography

 
Topography of the primary motor cortex, showing which zone controls each body part

Many of the brain areas Brodmann defined have their own complex internal structures. In a number of cases, brain areas are organized into topographic maps, where adjoining bits of the cortex correspond to adjoining parts of the body, or of some more abstract entity. A simple example of this type of correspondence is the primary motor cortex, a strip of tissue running along the anterior edge of the central sulcus. Motor areas innervating each part of the body arise from a distinct zone, with neighboring body parts represented by neighboring zones. Electrical stimulation of the cortex at any point causes a muscle-contraction in the represented body part. This "somatotopic" representation is not evenly distributed, however. The head, for example, is represented by a region about three times as large as the zone for the entire back and trunk. The size of any zone correlates to the precision of motor control and sensory discrimination possible. The areas for the lips, fingers, and tongue are particularly large, considering the proportional size of their represented body parts.

In visual areas, the maps are retinotopic; this means they reflect the topography of the retina, the layer of light-activated neurons lining the back of the eye. In this case too, the representation is uneven: the fovea—the area at the center of the visual field—is greatly overrepresented compared to the periphery. The visual circuitry in the human cerebral cortex contains several dozen distinct retinotopic maps, each devoted to analyzing the visual input stream in a particular way. The primary visual cortex (Brodmann area 17), which is the main recipient of direct input from the visual part of the thalamus, contains many neurons that are most easily activated by edges with a particular orientation moving across a particular point in the visual field. Visual areas farther downstream extract features such as color, motion, and shape.

In auditory areas, the primary map is tonotopic. Sounds are parsed according to frequency (i.e., high pitch vs. low pitch) by subcortical auditory areas, and this parsing is reflected by the primary auditory zone of the cortex. As with the visual system, there are a number of tonotopic cortical maps, each devoted to analyzing sound in a particular way.

Within a topographic map there can sometimes be finer levels of spatial structure. In the primary visual cortex, for example, where the main organization is retinotopic and the main responses are to moving edges, cells that respond to different edge-orientations are spatially segregated from one another.

Development

During the first three weeks of gestation, the human embryo's ectoderm forms a thickened strip called the neural plate. The neural plate then folds and closes to form the neural tube. This tube flexes as it grows, forming the crescent-shaped cerebral hemispheres at the head, and the cerebellum and pons towards the tail.

Function

Cognition

Understanding the mind–body problem, which is the relationship between the brain and the mind, is a significant challenge both philosophically and scientifically. This is because of the difficulty reconciling how mental activities, such as thoughts and emotions, can be implemented by physical structures such as neurons and synapses, or by any other type of physical mechanism. This difficulty was expressed by Gottfried Leibniz in an analogy known as Leibniz's Mill:

One is obliged to admit that perception and what depends upon it is inexplicable on mechanical principles, that is, by figures and motions. In imagining that there is a machine whose construction would enable it to think, to sense, and to have perception, one could conceive it enlarged while retaining the same proportions, so that one could enter into it, just like into a windmill. Supposing this, one should, when visiting within it, find only parts pushing one another, and never anything by which to explain a perception.

— Leibniz, Monadology[31]

Doubt about the possibility of a mechanistic explanation of thought drove René Descartes, and most of humankind along with him, to dualism: the belief that the mind is to some degree independent of the brain.[32] There has always, however, been a strong argument in the opposite direction. There is clear empirical evidence that physical manipulations of, or injuries to, the brain (for example by drugs or by lesions, respectively) can affect the mind in potent and intimate ways.[33] For example, a person suffering from Alzheimer's disease – a condition that causes physical damage to the brain – also experiences a compromised mind. Similarly, someone who has taken a psychedelic drug may temporarily lose their sense of personal identity (ego death) or experience profound changes to their perception and thought processes. Likewise, a patient with epilepsy who undergoes cortical stimulation mapping with electrical brain stimulation would also, upon stimulation of his or her brain, experience various complex feelings, hallucinations, memory flashbacks, and other complex cognitive, emotional, or behavioral phenomena.[34] Following this line of thinking, a large body of empirical evidence for a close relationship between brain activity and mental activity has led most neuroscientists and contemporary philosophers to be materialists, believing that mental phenomena are ultimately the result of, or reducible to, physical phenomena.[35]

 
Routing of neural signals from the two eyes to the brain

Lateralization

Each hemisphere of the brain interacts primarily with one half of the body, but for reasons that are unclear, the connections are crossed: the left side of the brain interacts with the right side of the body, and vice versa.[36] Motor connections from the brain to the spinal cord, and sensory connections from the spinal cord to the brain, both cross the midline at the level of the brainstem. Visual input follows a more complex rule: the optic nerves from the two eyes come together at a point called the optic chiasm, and half of the fibers from each nerve split off to join the other. The result is that connections from the left half of the retina, in both eyes, go to the left side of the brain, whereas connections from the right half of the retina go to the right side of the brain. Because each half of the retina receives light coming from the opposite half of the visual field, the functional consequence is that visual input from the left side of the world goes to the right side of the brain, and vice versa. Thus, the right side of the brain receives somatosensory input from the left side of the body, and visual input from the left side of the visual field—an arrangement that presumably is helpful for visuomotor coordination.

The two cerebral hemispheres are connected by a very large nerve bundle (the largest white matter structure in the brain) called the corpus callosum, which crosses the midline above the level of the thalamus.[37] There are also two much smaller connections, the anterior commissure and hippocampal commissure, as well as many subcortical connections that cross the midline. The corpus callosum is the main avenue of communication between the two hemispheres, though. It connects each point on the cortex to the mirror-image point in the opposite hemisphere, and also connects to functionally related points in different cortical areas.

In most respects, the left and right sides of the brain are symmetrical in terms of function. For example, the counterpart of the left-hemisphere motor area controlling the right hand is the right-hemisphere area controlling the left hand. There are, however, several very important exceptions, involving language and spatial cognition. In most people, the left hemisphere is "dominant" for language: a stroke that damages a key language area in the left hemisphere can leave the victim unable to speak or understand, whereas equivalent damage to the right hemisphere would cause only minor impairment to language skills.

 
The corpus callosum, a nerve bundle connecting the two cerebral hemispheres, with the lateral ventricles directly below

A substantial part of current understanding of the interactions between the two hemispheres has come from the study of "split-brain patients"—people who underwent surgical transection of the corpus callosum in an attempt to reduce the severity of epileptic seizures. These patients do not show unusual behavior that is immediately obvious, but in some cases can behave almost like two different people in the same body, with the right hand taking an action and then the left hand undoing it. Most of these patients, when briefly shown a picture on the right side of the point of visual fixation, are able to describe it verbally, but when the picture is shown on the left, are unable to describe it, but may be able to give an indication with the left hand of the nature of the object shown.

Language

The study of how language is represented, processed, and acquired by the brain is neurolinguistics, which is a large multidisciplinary field drawing from cognitive neuroscience, cognitive linguistics, and psycholinguistics. This field originated from the 19th-century discovery that damage to different parts of the brain appeared to cause different symptoms: physicians noticed that individuals with damage to a portion of the left inferior frontal gyrus now known as Broca's area had difficulty in producing language (aphasia of speech), whereas those with damage to a region in the left superior temporal gyrus, now known as Wernicke's area, had difficulty in understanding it.[38]

 
Locations of two brain areas historically associated with language processing, Broca's area and Wernicke's area, and associated regions of sound processing and speech.
(Associated cortical regions involved in vision, touch sensation, and non-speech movement are also shown.)

Since then, there has been substantial debate over what linguistic processes these and other parts of the brain subserve.[39] Although Broca's and Wernicke's areas have traditionally been associated with language functions, they may also be involved in certain non-speech functions.[citation needed] There is also debate over whether or not there even is a strong one-to-one relationship between brain regions and language functions that emerges during neocortical development.[40] Research on language has increasingly used more modern methods, including electrophysiology and functional neuroimaging, to examine how language processing occurs.

Metabolism

 
PET image of the human brain showing energy consumption

The brain consumes up to twenty percent of the energy used by the human body, more than any other organ.[41] Brain metabolism normally relies upon blood glucose as an energy source, but during times of low glucose (such as fasting, exercise, or limited carbohydrate intake), the brain will use ketone bodies for fuel with a smaller need for glucose. The brain can also utilize lactate during exercise.[42] Long-chain fatty acids cannot cross the blood–brain barrier, but the liver can break these down to produce ketones. However, the medium-chain fatty acids octanoic and heptanoic acids can cross the barrier and be used by the brain.[43] The brain stores glucose in the form of glycogen, albeit in significantly smaller amounts than that found in the liver or skeletal muscle.[44]

Although the human brain represents only 2% of the body weight, it receives 15% of the cardiac output, 20% of total body oxygen consumption, and 25% of total body glucose utilization.[45] The brain mostly uses glucose for energy, and deprivation of glucose, as can happen in hypoglycemia, can result in loss of consciousness. The energy consumption of the brain does not vary greatly over time, but active regions of the cortex consume somewhat more energy than inactive regions: this fact forms the basis for the functional brain imaging methods PET and fMRI.[46] These functional imaging techniques produce a three-dimensional image of metabolic activity.

Clinical significance

Injuries to the brain tend to affect large areas of the organ, sometimes causing major deficits in intelligence, memory, personality, and movement. Head trauma caused, for example, by vehicular or industrial accidents, is a leading cause of death in youth and middle age. In many cases, more damage is caused by resultant edema than by the impact itself. Stroke, caused by the blockage or rupturing of blood vessels in the brain, is another major cause of death from brain damage.

Other problems in the brain can be more accurately classified as diseases. Neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, Huntington's disease and motor neuron diseases are caused by the gradual death of individual neurons, leading to diminution in movement control, memory, and cognition. These are mostly the result of the aging brain, which has shown enlarged ventricles and decreased cortical regions on scanning.[47] There are five motor neuron diseases, the most common of which is amyotrophic lateral sclerosis (ALS).

Some infectious diseases affecting the brain are caused by viruses and bacteria. Infection of the meninges, the membranes that cover the brain, can lead to meningitis. Bovine spongiform encephalopathy (also known as "mad cow disease") is deadly in cattle and humans and is linked to prions. Kuru is a similar prion-borne degenerative brain disease affecting humans, (endemic only to Papua New Guinea tribes). Both are linked to the ingestion of neural tissue, and may explain the tendency in human and some non-human species to avoid cannibalism. Viral or bacterial causes have been reported in multiple sclerosis, and are established causes of encephalopathy, and encephalomyelitis.

Brain tumors both benign and malignant can form. These can either originate in the cerebral tissue or in the meninges. The most common are those growths that affect the glial cells known as gliomas. (This term has been extended to include all primary brain tumors.)[48] Secondary cancers can form in the brain as a result of brain metastasis.

Mental disorders, such as clinical depression, schizophrenia, bipolar disorder and post-traumatic stress disorder, may involve particular patterns of neuropsychological functioning related to various aspects of mental and somatic function. These disorders may be treated by psychotherapy, psychiatric medication, social intervention and personal recovery work or cognitive behavioural therapy; the underlying issues and associated prognoses vary significantly between individuals.

Many brain disorders are congenital, occurring during development. Tay-Sachs disease, fragile X syndrome, and Down syndrome are all linked to genetic and chromosomal errors. Many other syndromes, such as the intrinsic circadian rhythm disorders, are suspected to be congenital as well. Normal development of the brain can be altered by genetic factors, drug use, nutritional deficiencies, and infectious diseases during pregnancy.

Epileptic, and non-epileptic seizures can cause cognitive impairment when the seizures become widespread, occur repeatedly in the same brain area or last for too long. Seizures can be assessed using EEG and various medical imaging techniques. They can sometimes be treated using anticonvulsant drugs and certain neurosurgical procedures and auxiliary treatments may also be used.

Effects of brain damage

A key source of information about the function of brain regions is the effects of damage to them.[49] In humans, strokes have long provided a "natural laboratory" for studying the effects of brain damage. Most strokes result from a blood clot lodging in the brain and blocking the local blood supply, causing damage or destruction of nearby brain tissue: the range of possible blockages is very wide, leading to a great diversity of stroke symptoms. Analysis of strokes is limited by the fact that damage often crosses into multiple regions of the brain, not along clear-cut borders, making it difficult to draw firm conclusions.

Transient ischemic attacks (TIAs) are mini-strokes that can cause sudden dimming or loss of vision (including amaurosis fugax), speech impairment ranging from slurring to dysarthria or aphasia, and mental confusion. But unlike a stroke, the symptoms of a TIA can resolve within a few minutes or 24 hours. Brain injury may still occur in a TIA lasting only a few minutes.[50][51] A silent stroke or silent cerebral infarct (SCI) differs from a TIA in that there are no immediately observable symptoms. An SCI may still cause long lasting neurological dysfunction affecting such areas as mood, personality, and cognition. An SCI often occurs before or after a TIA or major stroke.[52]

Electrodes and magnetic fields

By placing electrodes on the scalp, it is possible to record the summed electrical activity of the cortex using a methodology known as electroencephalography (EEG).[53] EEG records average neuronal activity from the cerebral cortex and can detect changes in activity over large areas but with low sensitivity for sub-cortical activity. EEG recordings are sensitive enough to detect tiny electrical impulses lasting only a few milliseconds. Most EEG devices have good temporal resolution, but low spatial resolution.

Electrodes can also be placed directly on the surface of the brain (usually during surgical procedures that require removal of part of the skull). This technique, called electrocorticography (ECoG), offers finer spatial resolution than electroencephalography, but is very invasive. In addition to measuring the electric field directly via electrodes placed over the skull, it is possible to measure the magnetic field that the brain generates using a method known as magnetoencephalography (MEG).[54] This technique also has good temporal resolution like EEG but with much better spatial resolution. The greatest disadvantage of MEG is that, because the magnetic fields generated by neural activity are very subtle, the neural activity must be relatively close to the surface of the brain to detect its magnetic field. MEGs can only detect the magnetic signatures of neurons located in the depths of cortical folds (sulci) that have dendrites oriented in a way that produces a field.

Imaging

 
Computed tomography of human brain, from base of the skull to top, taken with intravenous contrast medium

Neuroscientists, along with researchers from allied disciplines, study how the human brain works. Such research has expanded considerably in recent decades. The "Decade of the Brain", an initiative of the United States Government in the 1990s, is considered to have marked much of this increase in research,[55] and was followed in 2013 by the BRAIN Initiative.

Information about the structure and function of the human brain comes from a variety of experimental methods. Most information about the cellular components of the brain and how they work comes from studies of animal subjects, using a variety of techniques. Some techniques, however, are used mainly on humans.

Structural and functional imaging

 
A scan of the brain using fMRI

There are several methods for detecting brain activity changes using three-dimensional imaging of local changes in blood flow. The older methods are SPECT and PET, which depend on injection of radioactive tracers into the bloodstream. A newer method, functional magnetic resonance imaging (fMRI), has considerably better spatial resolution and involves no radioactivity.[56] Using the most powerful magnets currently available, fMRI can localize brain activity changes to regions as small as one cubic millimeter. The downside is that the temporal resolution is poor: when brain activity increases, the blood flow response is delayed by 1–5 seconds and lasts for at least 10 seconds. Thus, fMRI is a very useful tool for learning which brain regions are involved in a given behavior, but gives little information about the temporal dynamics of their responses. A major advantage for fMRI is that, because it is non-invasive, it can readily be used on human subjects. Another new non-invasive functional imaging method is functional near-infrared spectroscopy.

Evolution

The Gale Encyclopedia of Science states, "As human's position changed and the manner in which his or her skull balanced on the spinal column pivoted, the brain expanded, altering the shape of the cranium."[57] In the course of evolution of the Homininae, the human brain has grown in volume from about 600 cm3 in Homo habilis to about 1500 cm3 in Homo sapiens neanderthalensis. Subsequently, there has been a shrinking over the past 28,000 years. The male brain has decreased from 1,500 cm3 to 1,350 cm3 while the female brain has shrunk by the same relative proportion.[58] For comparison, Homo erectus, a relative of humans, had a brain size of 1,100 cm3. However, the little Homo floresiensis, with a brain size of 380 cm3, a third of that of their proposed ancestor H. erectus, used fire, hunted, and made stone tools at least as sophisticated as those of H. erectus.[59] There has been very little change in brain size from Neanderthals to modern humans, however it is estimated that neanderthals had larger visual systems.[60] The notion "As large as you need and as small as you can" has been used to summarize the opposite evolutionary constraints on human brain size.[61][62] Changes in the size of the human brain during evolution have been reflected in changes in the ASPM and microcephalin genes.[63]

Studies tend to indicate small to moderate correlations (averaging around 0.3 to 0.4) between brain volume and IQ.[64] The most consistent associations are observed within the frontal, temporal, and parietal lobes, the hippocampi, and the cerebellum, but these only account for a relatively small amount of variance in IQ, which itself has only a partial relationship to general intelligence and real-world performance.[65][66] One study indicated that in humans, fertility and intelligence tend to be negatively correlated—that is to say, the more intelligent, as measured by IQ, exhibit a lower total fertility rate than the less intelligent. According to the model, the present rate of decline is predicted to be 1.34 IQ points per decade.[67]

See also

References

  1. ^ "Cerebrum Etymology". dictionary.com. Retrieved 24 October 2015. {{cite web}}: Italic or bold markup not allowed in: |publisher= (help)
  2. ^ "Encephalo- Etymology". Online Etymology Dictionary. Retrieved 24 October 2015. {{cite web}}: Italic or bold markup not allowed in: |publisher= (help)
  3. ^ "Tupaia belangeri". The Genome Institute, Washington University. Retrieved 22 January 2016.
  4. ^ Parent, A; Carpenter MB (1995). "Ch. 1". Carpenter's Human Neuroanatomy. Williams & Wilkins. ISBN 978-0-683-06752-1.
  5. ^ a b Neuroimaging Genetics: Principles and Practices. Oxford University Press. 2015. p. 157. ISBN 0199920222. Retrieved January 2, 2016. {{cite book}}: Unknown parameter |authors= ignored (help)
  6. ^ Cosgrove, KP; Mazure CM; Staley JK (2007). "Evolving knowledge of sex differences in brain structure, function, and chemistry". Biol Psychiat. 62 (8): 847–55. doi:10.1016/j.biopsych.2007.03.001. PMC 2711771. PMID 17544382.
  7. ^ Gur RC, Turetsky BI, Matsui M, Yan M, Bilker W, Hughett P, Gur RE (1999). "Sex differences in brain gray and white matter in healthy young adults: correlations with cognitive performance". The Journal of Neuroscience. 19 (10): 4065–72. PMID 10234034.
  8. ^ Herculano-Houzel, Suzana. "The human brain in numbers: a linearly scaled-up primate brain". Front. Hum. Neurosci. 3. doi:10.3389/neuro.09.031.2009. PMC 2776484. PMID 19915731. there was, to our knowledge, no actual, direct estimate of numbers of cells or of neurons in the entire human brain to be cited until 2009. A reasonable approximation was provided by Williams and Herrup (1988), from the compilation of partial numbers in the literature. These authors estimated the number of neurons in the human brain at about 85 billion [...] With more recent estimates of 21–26 billion neurons in the cerebral cortex (Pelvig et al., 2008 ) and 101 billion neurons in the cerebellum (Andersen et al., 1992 ), however, the total number of neurons in the human brain would increase to over 120 billion neurons.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  9. ^ Azevedo, F.A.C., Carvalho, L.R.B., Grinberg, L.T., Farfel, J.M., Ferretti, R.E.L., Leite, R.E.P., Filho, W.J., Lent, R., Herculano-Houzel, S. (2009). "Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain". Journal of Comparative Neurology. 513 (5): 532–541. doi:10.1002/cne.21974. PMID 19226510. despite the widespread quotes that the human brain contains 100 billion neurons and ten times more glial cells, the absolute number of neurons and glial cells in the human brain remains unknown. Here we determine these numbers by using the isotropic fractionator and compare them with the expected values for a human-sized primate. We find that the adult male human brain contains on average 86.1 ± 8.1 billion NeuN-positive cells ("neurons") and 84.6 ± 9.8 billion NeuN-negative ("nonneuronal") cells.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  10. ^ Kandel, ER; Schwartz JH; Jessel TM (2000). Principles of Neural Science. McGraw-Hill Professional. p. 324. ISBN 978-0-8385-7701-1.
  11. ^ Neuroscience for Clinicians: Evidence, Models, and Practice. Springer Science & Business Media. 2012. p. 143. ISBN 1461448425. Retrieved January 21, 2017. {{cite book}}: Unknown parameter |authors= ignored (help)
  12. ^ Developmental Science: An Advanced Textbook. Psychology Press. 2015. p. 220. ISBN 1136282203. Retrieved January 21, 2017. {{cite book}}: Unknown parameter |authors= ignored (help)
  13. ^ a b Douglas Bernstein (2010). Essentials of Psychology. Cengage Learning. p. 64. ISBN 049590693X. Retrieved January 21, 2017.
  14. ^ Visual Psychophysics: From Laboratory to Theory. MIT Press. 2013. p. 3. ISBN 0262019450. Retrieved January 21, 2017. {{cite book}}: Unknown parameter |authors= ignored (help)
  15. ^ Mike Sharwood Smith (2017). Introducing Language and Cognition. Cambridge University Press. p. 206. ISBN 1107152895. Retrieved January 21, 2017.
  16. ^ Jones R (2012). "Neurogenetics: What makes a human brain?". Nature Reviews Neuroscience. 13 (10): 655. doi:10.1038/nrn3355. PMID 22992645.
  17. ^ From the National Library of Medicine's Visible Human Project. In this project, two human cadavers (from a man and a woman) were frozen and then sliced into thin sections, which were individually photographed and digitized. The slice here is taken from a small distance below the top of the brain, and shows the cerebral cortex (the convoluted cellular layer on the outside) and the underlying white matter, which consists of myelinated fiber tracts traveling to and from the cerebral cortex.
  18. ^ Xi Chen (2012). Mechanical Self-Assembly: Science and Applications. Springer Science & Business Media. p. 188. ISBN 1461445620. Retrieved January 21, 2017.
  19. ^ Graham Davey (2011). Applied Psychology. John Wiley & Sons. p. 153. ISBN 1444331213. Retrieved January 21, 2017.
  20. ^ The Human Body in Health & Disease - Softcover6. Elsevier Health Sciences. 2013. p. 274. ISBN 0323101240. Retrieved January 21, 2017. {{cite book}}: Unknown parameter |authors= ignored (help)
  21. ^ Hofman MA, et al. (2014). "Evolution of the human brain: when bigger is better". Front Neuroanat. 8: 15. doi:10.3389/fnana.2014.00015. PMC 3973910. PMID 24723857.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  22. ^ Vanderwolf, C. H.; Kolb, B.; Cooley, R. K. (1978-02-01). "Behavior of the rat after removal of the neocortex and hippocampal formation". Journal of Comparative and Physiological Psychology. 92 (1): 156–175. doi:10.1037/h0077447. ISSN 0021-9940.
  23. ^ Gray, Peter (2002). Psychology (4th ed.). Worth Publishers. ISBN 0716751623. OCLC 46640860.
  24. ^ Toro, Roberto; Perron, Michel; Pike, Bruce; Richer, Louis; Veillette, Suzanne; Pausova, Zdenka; Paus, Tomáš (2008-10-01). "Brain Size and Folding of the Human Cerebral Cortex". Cerebral Cortex. 18 (10): 2352–2357. doi:10.1093/cercor/bhm261. ISSN 1047-3211. PMID 18267953.
  25. ^ a b c Bin He (2013). Neural Engineering. Springer Science & Business Media. pp. 9–10. ISBN 1461452279. Retrieved January 21, 2017.
  26. ^ a b c Xiao-lei Wang (2009). Understanding Language and Literacy Development: Diverse Learners in the Classroom. John Wiley & Sons. p. 77. ISBN 1118885902. Retrieved January 25, 2017.
  27. ^ a b c Laura Freberg (2009). Discovering Biological Psychology. Cengage Learning. pp. 44–46. ISBN 0547177798. Retrieved January 25, 2017.
  28. ^ a b Fundamentals of Human Neuropsychology. Macmillan. 2009. pp. 73–75. ISBN 0716795868. Retrieved January 25, 2017. {{cite book}}: Unknown parameter |authors= ignored (help)
  29. ^ Principles of Anatomy and Physiology 12th Edition - Tortora,Page 519.
  30. ^ Principles of Anatomy and Physiology 12th Edition - Tortora,Page 519-fig. (14.15)
  31. ^ Rescher N (1992). G. W. Leibniz's Monadology. Psychology Press. p. 83. ISBN 978-0-415-07284-7.
  32. ^ Hart, WD (1996). Guttenplan S (ed.). A Companion to the Philosophy of Mind. Blackwell. pp. 265–267.
  33. ^ Churchland, PS (1989). "Ch. 8". Neurophilosophy. MIT Press. ISBN 978-0-262-53085-9.
  34. ^ Aslihan Selimbeyoglu, Josef Parvizi. "Electrical stimulation of the human brain: perceptual and behavioral phenomena reported in the old and new literature" (2010). Frontiers in Human Neuroscience.
  35. ^ James H. Schwartz. Appendix D: Consciousness and the Neurobiology of the Twenty-First Century. In Kandel, ER; Schwartz JH; Jessell TM. (2000). Principles of Neural Science, 4th Edition.
  36. ^ Handbook of Neuroscience for the Behavioral Sciences, Volume 1. John Wiley & Sons. 2009. p. 145. ISBN 0470083557. Retrieved January 25, 2017. {{cite book}}: Unknown parameter |authors= ignored (help)
  37. ^ Eric Mooshagian. "Anatomy of the Corpus Callosum Reveals Its Function". Jneurosci.org. Retrieved 2014-03-05.
  38. ^ Damasio, H. (2001). Neural basis of language disorders. In R. Chapey (Ed.), Language intervention strategies in adult aphasia. 4th edition (pp. 18–36). Baltimore: Williams & Wilkins.
  39. ^ Regarding the function of Broca's region, see for example the following:
    • Grodzinsky, Y (2000). "The neurology of syntax: language use without Broca's area". Behavioral and Brain Sciences. 23 (1): 1–71. doi:10.1017/s0140525x00002399.
    • Hagoort, P. 2013. MUC (Memory, Unification, Control) and beyond. Frontiers in Language Sciences.
  40. ^ Caplan, Waters; Dede, Michaud; Reddy (2007). "A study of syntactic processing in aphasia I: Behavioral (psycholinguistic) aspects". Brain and Language. 101 (2): 103–150. doi:10.1016/j.bandl.2006.06.225.
  41. ^ Swaminathan, Nikhil (29 April 2008). "Why Does the Brain Need So Much Power?". Scientific American. Scientific American, a Division of Nature America, Inc. Retrieved 19 November 2010.
  42. ^ Quistorff, Bjørn; Secher, Niels; Van Lieshout, Johanne (July 24, 2008). "Lactate fuels the human brain during exercise". The FASEB Journal. 22 (10): 3443–3449. doi:10.1096/fj.08-106104. Retrieved May 9, 2011.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  43. ^ Marin-Valencia, Isaac; Good, Levi B; Ma, Qian; Malloy, Craig R; Pascual, Juan M (2012-10-17). "Heptanoate as a Neural Fuel: Energetic and Neurotransmitter Precursors in Normal and Glucose Transporter I-Deficient (G1D) Brain". Journal of Cerebral Blood Flow & Metabolism. 33 (2): 175–182. doi:10.1038/jcbfm.2012.151. PMC 3564188. PMID 23072752.
  44. ^ Obel, LF; Müller, MS; Walls, AB; Sickmann, HM; Bak, LK; Waagepetersen, HS; Schousboe, A (2012). "Brain glycogen-new perspectives on its metabolic function and regulation at the subcellular level". Frontiers in neuroenergetics. 4: 3. doi:10.3389/fnene.2012.00003. PMC 3291878. PMID 22403540.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  45. ^ Clark, DD; Sokoloff L (1999). Basic Neurochemistry: Molecular, Cellular and Medical Aspects. Philadelphia: Lippincott. pp. 637–670. ISBN 978-0-397-51820-3. {{cite book}}: Unknown parameter |editors= ignored (|editor= suggested) (help)
  46. ^ Raichle, M; Gusnard, DA (2002). "Appraising the brain's energy budget". Proc. Natl. Acad. Sci. U.S.A. 99 (16): 10237–10239. doi:10.1073/pnas.172399499. PMC 124895. PMID 12149485.
  47. ^ Craik, F.; Salthouse, T. (2000). The Handbook of Aging and Cognition (2nd ed.). Mahwah, NJ: Lawrence Erlbaum. ISBN 0-8058-2966-0. OCLC 44957002.
  48. ^ Dorland's (2012). Dorland's Illustrated Medical Dictionary (32nd ed.). Elsevier. p. 784. ISBN 978-1-4160-6257-8.
  49. ^ Andrews, DG (2001). Neuropsychology. Psychology Press. ISBN 978-1-84169-103-9.
  50. ^ Ferro, J. M. Rodrigues; et al. (1996). "Diagnosis of transient ischemic attack by the nonneurologist. A validation study". Stroke. 27 (12): 2225–2229. doi:10.1161/01.STR.27.12.2225. PMID 8969785.
  51. ^ Easton, J. Donald; Saver, Jeffrey L.; Albers, Gregory W.; Alberts, Mark J.; Chaturvedi, Seemant; Feldmann, Edward; Hatsukami, Thomas S.; Higashida, Randall T.; Johnston, S. Claiborne (2009-06-01). "Definition and Evaluation of Transient Ischemic Attack". Stroke. 40 (6): 2276–2293. doi:10.1161/STROKEAHA.108.192218. ISSN 0039-2499. PMID 19423857.
  52. ^ Coutts, S. B.; Simon, J. E.; et al. (2005). "Silent ischemia in minor stroke and TIA patients identified on MR imaging". Neurology. 65 (4): 513–517. doi:10.1212/01.WNL.0000169031.39264.ff. PMID 16116107.
  53. ^ Spehlmann, Rainer; Fisch, BJ (1999). Fisch and Spehlmann's EEG primer : basic principles of digital and analog EEG. Elsevier. ISBN 9780444821485. OCLC 43275001.
  54. ^ Preissl, Hubert (2005). Magnetoencephalography. Academic Press. ISBN 9780123668691. OCLC 141379565.
  55. ^ Jones, Edward G.; Mendell, Lorne M. (April 30, 1999). "Assessing the Decade of the Brain". Science. 284 (5415). American Association for the Advancement of Science: 739. doi:10.1126/science.284.5415.739. PMID 10336393. Retrieved 2010-04-05.
  56. ^ Buxton, Richard B (2002). Introduction to functional magnetic resonance imaging : principles and techniques. Cambridge University Press. ISBN 9780521581134. OCLC 45166697.
  57. ^ Lee Lerner, Brenda Wilmoth Lerner (2004). The Gale Encyclopedia of Science: Pheasants-Star. Gale. p. 3759. ISBN 0787675598. Retrieved January 21, 2017. As human's position changed and the manner in which his or her skull balanced on the spinal column pivoted, the brain expanded, altering the shape of the cranium.
  58. ^ "If Modern Humans Are So Smart, Why Are Our Brains Shrinking?". DiscoverMagazine.com. 2011-01-20. Retrieved 2014-03-05.
  59. ^ Brown, P.; Sutikna, T.; Morwood, M. J.; Soejono, R. P.; Jatmiko; Saptomo, E. Wayhu; Due, Rokus Awe. "A new small-bodied hominin from the Late Pleistocene of Flores, Indonesia". Nature. 431 (7012): 1055–1061. doi:10.1038/nature02999.
  60. ^ Pearce, Eiluned; Stringer, Chris; Dunbar, R. I. M. (2013-05-07). "New insights into differences in brain organization between Neanderthals and anatomically modern humans". Proceedings of the Royal Society of London B: Biological Sciences. 280 (1758): 20130168. doi:10.1098/rspb.2013.0168. ISSN 0962-8452. PMC 3619466. PMID 23486442.
  61. ^ Davidson, Iain. "As large as you need and as small as you can'--implications of the brain size of Homo floresiensis, (Iain Davidson)". Une-au.academia.edu. Retrieved 2011-10-30.
  62. ^ P. Thomas Schoenemann (2006). "Evolution of the Size and Functional Areas of the Human Brain". Annu. Rev. Anthropol. 35: 379–406. doi:10.1146/annurev.anthro.35.081705.123210.
  63. ^ http://www.uchospitals.edu/news/2005/20050908-humanbrain.html
  64. ^ McDaniel, Michael (2005). "Big-brained people are smarter" (PDF). Intelligence. 33: 337–346. doi:10.1016/j.intell.2004.11.005. {{cite journal}}: Invalid |ref=harv (help)
  65. ^ Luders, Eileen; Narr, Katherine L.; Bilder, Robert M.; Szeszko, Philip R.; Gurbani, Mala N.; Hamilton, Liberty; Toga, Arthur W.; Gaser, Christian (2008-09-01). "Mapping the Relationship between Cortical Convolution and Intelligence: Effects of Gender". Cerebral Cortex. 18 (9): 2019–2026. doi:10.1093/cercor/bhm227. ISSN 1047-3211. PMC 2517107. PMID 18089578.
  66. ^ Hoppe, Christian; Stojanovic, Jelena (2008). "High-Aptitude Minds". Scientific American Mind. 19 (4): 60–67. doi:10.1038/scientificamericanmind0808-60.
  67. ^ Meisenberg, G. (2009). "Wealth, Intelligence, Politics and Global Fertility Differentials". Journal of Biosocial Science. 41 (4): 519–535. doi:10.1017/S0021932009003344. PMID 19323856.

General references


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