November 2002
As we begin the second year of our monthly Newsletter we wish to welcome our new subscribers and thank our current subscribers.
Much has happened this past year. National and International advancements in research and technology in this field of brain research continue to increase and become published. We are finding that the results published (and then passed on to our subscribers) can only help educate all in the various techniques, treatments and modalities that are available.
On a more local front, The Crossroads Institute has also grown and improved. We are relocating The Crossroads Clinic and Lab from our rustic and desert setting of Cave Creek, Arizona to a very accessible location in the heart of Phoenix off the 101. For our local clients we feel this will help with regard to time, travel and traffic. For our national and international clients we are now 20 minutes from the airport.
With the addition of Dr. Martha Grout, M.D. we have seen improvements with our clients in diet, nutrition, allergy, pain and a return to organ balance with the use of advancements in Western medicine and the inclusion of traditional Chinese Medicine.
Dr. Grout returned in October from an extended stay in China. She is putting into practice her new knowledge learning from the Masters.
Dr. Curtis Cripe, PhD. has expanded his neurodevelopment protocols this population of special needs children, adolescents, young adults and adults. He has been on-call around the country explaining his successes as well as demonstrating his techniques.
Dr. Cripe has been invited to Russia at the end of November to study and work with Dr. Juri D. Kropotov on the latest International advancements of evoked potentials as they relate to neurodevelopment.
We believe Dr. Martha Grout's and Dr. Curtis Cripe's continued expertise in the latest advancements in this field can only benefit our clients and their families.
We hope you enjoy this month's newsletter.
-The Crossroads Staff-
Accelerated neurodevelopment allows us the ability to
maximize and use our intellectual, physical, and emotional strengths
simultaneously.
When accelerating brain power, daily tasks such as working, studying,
and sports become easier to do and manage. The brain is functioning at
optimal levels and is able to make quick attentional shifts on demand.
This is the state of mind that peak performers call "the zone" and is
accessible at will.
On Demand Accelerated Performance will be
offering programs and assessments on how you can achieve top performance
from your brain and mind. If interested please contact us.
FAMILY EXPERIENCES
NEWS BRIEFS
Basic Response Time Tools for Studying General Processing Capacity in Attention, Perception, and Cognition.
Journal of General Psychology
Author: Michael J. Wenger
Department of Psychology University of Notre Dame
Department of Psychology Indiana University
ABSTRACT. One of the more important constructs in the study of attention, perception, and cognition is that of capacity. The authors reviewed some of the common meanings of this construct and proposed a more precise treatment. They showed how the distribution of response times can be used to derive measures of process capacity and to further illustrate how these measures can be used to address important hypotheses in cognition.
IMAGINE THAT YOU ARE A CLERK in a 24-hr convenience store. You work the midnight to 8:00 a.m. shift--a dangerous one, because the store has been robbed numerous times during this period. You have been trained to watch each customer very carefully for any signs of threat, such as a narrowing of the eyes, a sneer or twitch of the lips, rapid glances around the store, even combinations of these signs. And you have to watch for these signals both in the upright faces of the customers as they pass in front of the counter and in their inverted images in the store's security mirrors.
The situation just described contains a number of tasks similar to those commonly used to study whole and divided attention (e.g., Lavie, 1995). In fact, various aspects of this imaginary situation correspond to commonly used experimental manipulations, including variations in the number of target locations (e.g., places in the store and in the security mirrors), variations in the number of distractors (e.g., customers who have already been deemed as unthreatening), and variations in load (e.g., looking for both narrowed eyes and a twitch of the lips as compared with narrowed eyes alone; assessing more than one new customer). Consequently, it would be meaningful to ask how much of this environmental information you, as the clerk, can process, as well as how efficiently you are processing it, in the various possible situations.
Some of the most basic questions about the ability of humans to attend to and process environmental information take the form of how much and how efficiently. Certainly, some of the most well known of the earliest investigations (e.g., Sir William Hamilton's examination of the span of apprehension) concerned the first of these, though the basic questions appear to have been posed as early as Aristotle. The import of these questions and the implications of their possible answers have continued to the present day. Indeed, assumptions regarding the answers to these types of questions have formed the bedrock for numerous contemporary theories of attention, perception, and higher levels of cognition. Our goal in the present article is to illustrate how a construct fundamental to attention--capacity--can be informatively assessed by using response times (RTs). We hope to demonstrate that the functions of time that we call H(t) (the integrated hazard function) and C(t) (a capacity coefficient) can be used in a broad spectrum of psychological tasks in which RTs can be observed. In particular, divided attention (e.g., Bonnel & Hafter, 1998; Nyberg, Nilsson, Olofsson, & Baeckman, 1998), selective cuing (e.g., Cheal & Gregory, 1997; Henderson, 1996; Luck, Hillyard, Mouloua, & Hawkins, 1996; Tellinghuisen, Zimba, & Robin, 1997), and designs that vary number of items (e.g., dimensions, objects; de Haan, Lutz, & Noest, 1998; Lavie, 1995) are obvious targets for the application of these functions as are any investigations that use RT to measure or compare efficiency of processing in distinct task conditions.
continued ...Mechanisms of cerebral cortical patterning in mice and humans
Edwin S. Monuki1, 2, 3 & Christopher A. Walsh1
Division of Neurogenetics, Beth Israel Deaconess Medical Center, and Department of Neurology, Harvard Medical School, Boston, Mas.
Department of Pathology, Division of Neuropathology, Children's Hospital and Brigham & Women's Hospital, Boston, Mass.
Present address: UC Irvine College of Medicine, Department of Pathology, Irvine, Ca
All the higher mental and cognitive functions unique to humans depend on the neocortex (`new' cortex, referring to its relatively recent appearance in evolution), which is divided into discrete areas that subserve distinct functions, such as language, movement and sensation.
With a few notable exceptions, all neocortical areas have six layers of neurons and a remarkably similar thickness and overall cell density, despite subtle differences in their cellular architecture.
Furthermore, all neocortical areas are formed over roughly the same time period during development and provide little hint at early developmental stages of the rich functional diversity that becomes apparent as development comes to an end. How these areas are formed has long fascinated developmental neuroscientists, because the formation of new cortical areas, with the attendant appearance of new cortical functions, is what must have driven the evolution of mammalian behavior.
There are two general viewpoints about how cortical areas form which can be seen as defining the ends of a mechanistic spectrum. One school of thought suggests that cortical organization reflects the afferent input receivedfor example, visual cortex is visual because that is where information from the eyes ends up.
There is now a large body of literature supporting the importance of destination and electrical activity of afferent inputs in shaping cortical pattern and refining the cellular architecture of cortical areas. This literature has been reviewed recently and will not be further discussed here.
The other school of thought suggests that a significant amount of patterning information exists in the cortex before and independent from the arrival of afferent inputs. Indeed, early experimental evidence for such `intrinsic' patterning of the cortex preceded by decades our more recent insights into how these differences might be determined. Both limbic cortex, the evolutionarily `older' neighbor of neocortex and neocortical regions have a molecular `memory' of their origin when deprived of normal afferent input in transplant or explant settings during cortical neurogenesis.More recently, a striking amount of intrinsic cortical patterning has been shown in two different mouse mutants that lack thalamocortical connections, the major afferent input into the cortex8, 9. These and other studies suggest that intrinsic cortical specification occurs by the time neurons are being generated by the dividing progenitor cells of the cortex, which lie next to the ventricles in a layer known as the ventricular zone (VZ). The possibility that positional information could be encoded by the cortical VZ progenitor cells themselves, then maintained by postmitotic cortical neurons, developed from the observation that most postmitotic neurons enter the cortex from the cortical VZ through a restricted radial migration along radially oriented glial guide fibers.
There is now considerable evidence supporting the cortical VZ as a repository of positional information that is critical for cortical areal patterning. The mechanisms involved in patterning the cortical VZ are the subject of this review. Although much of our insight into these mechanisms has relied on studies in mice, humans are subject to a wide variety of naturally occurring mutations that have identified cortical patterning genes through a `forward genetics' approach. We therefore attempt to integrate mouse and human studies into a hierarchy of events that pattern the cortical VZ. more information
The Quivering Bundles That Let Us Hear:
Signals From a Hair Cell
Jeff Goldberg
An unusual dance recital was videotaped in David Corey's lab at Massachusetts General Hospital recently. The star of the performance, magnified many times under a high-powered microscope, was a sound-receptor cell from the ear of a bullfrog, called a hair cell because of the distinctive tuft of fine bristles sprouting from its top.
The music ranged from the opening bars of Beethoven's Fifth Symphony and Richard Strauss' "Thus Spake Zarathustra" to David Byrne and the Beatles.
As the music rose and fell, an electronic amplifier translated it into vibrations of a tiny glass probe that stimulated the hair cell, mimicking its normal stimulation in the ear. The bristly bundle of "stereocilia" at the top of the cell quivered to the high-pitched tones of violins, swayed to the rumblings of kettle drums, and bowed and recoiled, like tiny trees in a hurricane, to the blasts of rock-and-roll.
The dance of the hair cell's cilia plays a vital role in hearing, Corey explains. Now an HHMI investigator at MGH and Harvard Medical School, Corey was a graduate student at the California Institute of Technology when he began working with James Hudspeth, a leading authority on hair cells. Together, the two researchers have helped discover how movements of the cilia, which quiver with the mechanical vibrations of sound waves, cause the cell to produce a series of brief electrical signals that are conveyed to the brain as a burst of acoustic information.
In humans and other mammals, hair cell bundles are arranged in four long, parallel columns on a gauzy strip of tissue called the basilar membrane. This membrane, just over an inch long, coils within the cochlea, a bony, snail-shaped structure about the size of a pea that is located deep inside the inner ear.
Sound waves generated by mechanical forces, such as a bow being drawn across a string, water splashing on a hard surface, or air being expelled across the larynx, cause the eardrumand, in turn, the three tiny bones of the middle earto vibrate. The last of these three bones (the stapes, or "stirrup") jiggles a flexible layer of tissue at the base of the cochlea. This pressure sends waves rippling along the basilar membrane, stimulating some of its hair cells.
These cells then send out a rapid-fire code of electrical signals about the frequency, intensity, and duration of a sound. The messages travel through auditory nerve fibers that run from the base of the hair cells to the center of the cochlea, and from there to the brain. After several relays within the brain, the messages finally reach the auditory areas of the cerebral cortex, which process and interpret these signals as a musical phrase, a dripping faucet, a human voice, or any of the myriad sounds in the world around us at any particular moment.
Auditory Cortical Responses to the Interactive Effects of Interaural Intensity Disparities and Frequency
Julie R. Mendelson and Keith L. Grasse1
Department of Speech-Language Pathology, Faculty of Medicine, University of Toronto, Toronto, Ontario M5S 3H2 and
1 Department of Psychology, Centre for Vision Research, Institute for Space & Terrestrial Science, York University, North York, Ontario M3J 1P3, Canada
Under natural conditions, stimuli reaching the two ears contain multiple acoustic components. Rarely does a stimulus containing only one component (e.g. pure tone burst) exist outside the realm of the laboratory. For example, in sound localization the simultaneous presence of multiple cues (spectral content, level, phase, etc.) serves to increase the number of available cues and provide the listener with more information, thereby helping to reduce errors in locating the sound source. The present study was designed to explore the relationship between two acoustic parameters: stimulus frequency and interaural intensity disparities (IIDs). By varying both stimulus frequency and IIDs for each cell, we hoped to gain insight into how multiple cues are processed. To this end, we examined the responses of neurons in cat primary auditory cortex (AI) to determine if their sensitivity to IIDs changed as a function of stimulus frequency. IIDs ranging from +30 to 30 dB were presented at different frequencies (frequency was always the same in the two ears). We found that approximately half of the units examined exhibited responses to IIDs that varied as a function of stimulus frequency (i.e. displayed some form of IID x Freq dependency). The remaining units displayed IID responses that were not clearly related to stimulus frequency.
Studies have shown that cortical cells are sensitive to a variety of stimulus parameters such as interaural intensity, temporal and frequency when they are examined individually. Under natural conditions, these cues rarely arise in isolation. In fact, in sound localization if only one of the available cues is present, spatial ambiguity often occurs, causing the organism to mislocalize. This ambiguity stems from the fact that sounds arising from different locations may produce identical values of a given cue. Thus, the presence of additional cues (spectral, temporal, level, etc.) helps to disambiguate the location of the sound source.
The goal of the present study was to further our understanding of how the auditory cortex processes the interaction of multiple acoustic parameters. To date, relatively few studies have examined the interaction of two or more parameters. In general, these studies have shown that the response of some neurons to one parameter can be modulated by the simultaneous manipulation of a second parameter.For example, Irvine et al. (1995) studied the relationship between interaural intensity and temporal differences as would be predicted by the timeintensity trading phenomenon observed in psychophysical studies. They found that for the majority of units in the inferior colliculus, the response to interaural intensity disparities (IIDs) could not be predicted from the response to interaural temporal disparities (ITDs).
The effect of sound pressure level (SPL) has also been shown to modulate the response of units in the inferior colliculus and auditory cortex (Irvine et al., 1996) to IIDs. Park et al., on the other hand, have shown that stimulus duration has no effect on the IID response of lateral superior olive (LSO) neurons. Collectively, one point these studies clearly demonstrates is that the way in which neurons in the auditory system treat multiple parameters is by no means a simple matter.
Two other parameters that warrant examination because of their intimate relationship are the intensity and spectral components of the signal. Recent studies have shown that IID-azimuth functions display different patterns of non-monotonicity/monotonicity at different frequencies.However, the way in which the interaction of these parameters is encoded by the auditory cortex is not well understood. Thus, in the present study we investigated the relationship between IIDs and stimulus frequency in an attempt to explore how the response of a cortical unit to one parameter can be modified by the manipulation of a second parameter. more...
Randomised controlled trial of community based speech and language therapy in preschool children.
Author/s: Margaret Glogowska
Issue: Oct 14, 2000
Abstract
Objective To compare routine speech and language therapy in preschool children with delayed speech and language against 12 months of "watchful waiting."
Design Pragmatic randomised controlled trial.
Setting 16 community clinics in Bristol.
Participants 159 preschool children with appreciable speech or language difficulties who fulfilled criteria for admission to speech and language therapy.
Main outcome measures Four quantitative measures of speech and language, assessed at 6 and 12 months; a binary variable indicating improvement, by 12 months, on the trial entry criterion.
Results Improvement in auditory comprehension was significant in favour of therapy (adjusted difference in means 4.1, 95% confidence interval 0.5 to 7.6; P = 0.025). No significant differences were observed for expressive language (1.4, - 2.1 to 4.8; P = 0.44); phonology error rate (- 4.4, - 12.0 to 3.3; P = 0.26); language development (0.1, - 0.4 to 0.6; P = 0.73); or improvement on entry criterion (odds ratio 1.3, 0.67 to 2.4; P = 0.46). At the end of the trial, 70% of all children still had substantial speech and language deficits.
Conclusions This study provides little evidence for the effectiveness of speech and language therapy compared with watchful waiting over 12 months. Providers of speech and language therapy should reconsider the appropriateness, timing, nature, and intensity of such therapy in preschool children. Continued research into more specific provision to subgroups of children is also needed to identify better treatment methods. The lack of resolution of difficulties for most of the children suggests that further research is needed to identify effective ways of helping this population of children.
Introduction
Of the impairments presenting in early childhood, speech or language delay may be the most common.[1] At any one time a fifth of parents in Britain are concerned about their young child's language development.[2] Although there has been a shift to providing early intervention for these children, this has not been based on research evidence. Yet provision of therapy to children is estimated to consume 70% of the NHS budget for speech and language therapy in the United Kingdom.[2]
A systematic review has shown short term efficacy of speech and language therapy for young children in an experimental environment.[3] No clear evidence exists, however, on the long term effectiveness of therapy in the context of service provision or on the natural course of early speech and language delays. In particular, the longer term course of early difficulties seems to vary for different groups of children. Some studies have suggested that 40% to 60% of children with only expressive language delay outgrow their difficulties[4 5]; others have shown that those with a range of language problems have more persistent linguistic, literacy, and social difficulties.[6-8]
continued ...
NUTRITION NEWS
The publication of this handbook testifies to the rapid growth of developmental cognitive neuroscience as a distinct field. Brain imaging and recording technologies, along with well-defined behavioral tasks--the essential methodological tools of cognitive neuroscience--are now being used to study development. Whereas earlier methodologies allowed scientists to study only adult brains, recent technological advances have yielded methods that can be safely used to study structure-function relations and their development in children's brains. These new techniques combined with more refined cognitive models account for the progress and heightened activity in developmental cognitive neuroscience research.
The handbook contains forty-one original contributions exploring basic aspects of neural development, sensory and sensorimotor systems, language, cognition, and emotion. Aided by recent results in neurobiology establishing that the human brain remains malleable and plastic throughout much of the lifespan, the contributors also explore the implications of lifelong neural plasticity for brain and behavioral development.