This text is accessible to anyone interested in the brain. It is specifically targeted to students and instructors of undergraduate neuroscience or biopsychology courses. It encourages an active exploration of the intersection of neuroscience with other disciplines through a large number of activities, demonstrations, reflection prompts, and critical thinking questions. The book complements material presented in more conventional neuroscience or biopsychology textbooks, portions of which are linked to throughout this text.

The course will span modern neuroscience from molecular neurobiology to perception and cognition, including the following major topics: anatomy and development of the brain; cell biology of neurons and glia; ion channels and electrical signaling; synaptic transmission, integration, and chemical systems of the brain; sensory systems, from transduction to perception; motor systems; and higher brain functions dealing with memory, language, and affective disorders.

This course is an introduction to the mammalian nervous system, with emphasis on the structure and function of the human brain. Topics include the function of nerve cells, sensory systems, control of movement, learning and memory, and diseases of the brain.

This is a 6 minute video lesson about memorizing the parts of the brain using your hands. It was created for a Psychology class and focuses on learning about where each major part of the brain is located. It's based off of the work found here: http://www.pbs.org/wgbh/nova/coma/geography/photos.html.

This course introduces scholarly debates about the sociocultural practices through which individuals and societies create, sustain, recall, and erase memories. Emphasis is given to the history of knowledge, construction of memory, the role of authorities in shaping memory, and how societies decide on whose versions of memory are more "truthful" and "real." Other topics include how memory works in the human brain, memory and trauma, amnesia, memory practices in the sciences, false memory, sites of memory, and the commodification of memory. Students taking the graduate version complete additional assignments.

Students' understanding of how robotic touch sensors work is reinforced through a hands-on design challenge involving LEGO MINDSTORMS(TM) NXT intelligent bricks, motors and touch sensors. They learn programming skills and logic design in parallel as they program robot computers to play sounds and rotate a wheel when a touch sensor is pressed, and then produce different responses if a different touch sensor is activated. Students see first-hand how robots can take input from sensors and use it to make decisions to move as programmed, including simultaneously moving a motor and playing music. A PowerPoint® presentation and pre/post quizzes are provided.

Professor Nancy Kanwisher uses a brain imaging method called fMRI to study the human brain. Her website, Nancy's Brain Talks, is a collection of short videos that explore the different scientific techniques used to study the human mind and brain. You do not need any background in the field to understand the talks.
Topics include:

What Kinds of Minds and Brains Do We Have?
How Can You Study the Human Mind and Brain?
Face Perception
fMRI Imaging of the Human Brain at Work

The site also includes lecture videos from Prof. Kanwisher's undergraduate MIT course 9.13 The Human Brain. You can find a complete version of this course here on MIT OpenCourseWare.

The course focuses on the problem of supervised learning within the framework of Statistical Learning Theory. It starts with a review of classical statistical techniques, including Regularization Theory in RKHS for multivariate function approximation from sparse data. Next, VC theory is discussed in detail and used to justify classification and regression techniques such as Regularization Networks and Support Vector Machines. Selected topics such as boosting, feature selection and multiclass classification will complete the theory part of the course. During the course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction. We will briefly discuss implications of learning theories for how the brain may learn from experience, focusing on the neurobiology of object recognition. We plan to emphasize hands-on applications and exercises, paralleling the rapidly increasing practical uses of the techniques described in the subject.

This course focuses on neural structures and mechanisms mediating the detection, localization and recognition of sounds. Discussions cover how acoustic signals are coded by auditory neurons, the impact of these codes on behavioral performance, and the circuitry and cellular mechanisms underlying signal transformations. Topics include temporal coding, neural maps and feature detectors, learning and plasticity, and feedback control. General principles are conveyed by theme discussions of auditory masking, sound localization, musical pitch, speech coding, and cochlear implants.

The neuropharmacology course will discuss the drug-induced changes in functioning of the nervous system. The specific focus of this course will be to provide a description of the cellular and molecular actions of drugs on synaptic transmission. This course will also refer to specific diseases of the nervous system and their treatment in addition to giving an overview of the techniques used for the study of neuropharmacology.
This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

This site explores the brain and nervous system. Learn about brain development, brain lobes, the cerebral cortex, the skull, blood supply, brain fitness, neurons, the autonomic nervous system, sensory systems, the spinal cord, laughter and the brain, the musical brain, face recognition, drug effects, neurological and mental disorders, and more.

Neuroscience for Pre-Clinical Students covers neuroenergetics, neurotransmitters, neuropeptides, and selected amino acid metabolism and degradation. This USMLE-aligned text is designed for a first-year undergraduate medical course and is meant to provide the essential biochemical information from these content areas in a concise format to enable students to engage in an active classroom. Hence, it does not cover neurophysiology and neuroanatomy; and clinical correlates and additional application of content are intended to be provided in the classroom experience. The text assumes that the students will have completed medical school prerequisites (including the MCAT) in which they will have been introduced to the most fundamental concepts of biology and chemistry that are essential to understand the content presented here. With its focus on high-yield concepts, this resource will assist the learner later in medical school and for exam preparation.

The 49-page text was created specifically for use by pre-clinical students at Virginia Tech Carilion School of Medicine and was based on faculty experience and peer review to guide development and hone important topics.

Available Formats
ISBN 978-1-949373-80-6 (PDF)
ISBN 978-1-949373-81-3 (ePub)
ISBN 978-1-949373-84-4 (print) https://www.amazon.com/Neuroscience-Pre-Clinical-Students-REN%C3%89E-LECLAIR
ISBN 978-1-949373-82-0 (Pressbooks) https://pressbooks.lib.vt.edu/neuroscience
Also available via LibreTexts: https://med.libretexts.org/@go/page/35685

How to Adopt this Book
Instructors reviewing, adopting, or adapting parts or the whole of the text are requested to register their interest at: https://bit.ly/interest-preclinical.

Instructors and subject matter experts interested in and sharing their original course materials relevant to pre-clinical education are requested to join the instructor portal at https://www.oercommons.org/groups/pre-clinical-resources/10133.

Features of this Book
1. Detailed learning objectives are provided at the beginning of each subsection;
2. High resolution, color contrasting figures illustrate concepts, relationships, and processes throughout;
3. Summary tables display detailed information;
4. End of chapter lists provide additional sources of information; and
5. Accessibility features including structured heads and alternative-text provide access for readers accessing the work via a screen-reader.

Table of Contents
1. Neuron and astrocyte metabolism
2. Neurotransmitters — ACh, glutamate, GABA, and glycine
3. Neuropeptides and unconventional neurotransmitters
4. Amino acid metabolism and specialized products

Suggested Citation
LeClair, Renée J., (2022). Neuroscience for Pre-Clinical Students, Blacksburg, VA: Virginia Tech Publishing. https://doi.org/10.21061/neuroscience. Licensed with CC BY NC-SA 4.0.

About the Author
Renée J. LeClair is an Associate Professor in the Department of Basic Science Education at the Virginia Tech Carilion School of Medicine, where her role is to engage activities that support the departmental mission of developing an integrated medical experience using evidence-based delivery grounded in the science of learning. She received a Ph.D. at Rice University and completed a postdoctoral fellowship at the Maine Medical Center Research Institute in vascular biology. She became involved in medical education, curricular renovation, and implementation of innovative teaching methods during her first faculty appointment, at the University of New England, College of Osteopathic Medicine. In 2013, she moved to a new medical school, University of South Carolina, School of Medicine, Greenville. The opportunities afforded by joining a new program and serving as the Chair of the Curriculum committee provided a blank slate for creative curricular development and close involvement with the accreditation process. During her tenure she developed and directed a team-taught student-centered undergraduate medical course that integrated the scientific and clinical sciences to assess all six-core competencies of medical education.

Accessibility Note
The University Libraries at Virginia Tech and Virginia Tech Publishing are committed to making its publications accessible in accordance with the Americans with Disabilities Act of 1990. The HTML (Pressbooks) and ePub versions of this book utilize header structures and include alternative text which allow for machine-readability.

Please report any errors at https://bit.ly/feedback-preclinical

How do we decide whether an action is morally wrong? How do we choose to do what is right? When and why do we punish wrong-doers? Moral behavior and moral evaluation are functions of the human brain. It is just becoming possible to use neuroscientific methods to understand how they work. This course will consider the mechanisms of morality as a question for neuroscientists.

How likely are published findings in the functional neuroimaging literature to be false? According to a recent mathematical model, the potential for false positives increases with the flexibility of analysis methods. Functional MRI (fMRI) experiments can be analyzed using a large number of commonly used tools, with little consensus on how, when, or whether to apply each one. This situation may lead to substantial variability in analysis outcomes. Thus, the present study sought to estimate the flexibility of neuroimaging analysis by submitting a single event-related fMRI experiment to a large number of unique analysis procedures. Ten analysis steps for which multiple strategies appear in the literature were identified, and two to four strategies were enumerated for each step. Considering all possible combinations of these strategies yielded 6,912 unique analysis pipelines. Activation maps from each pipeline were corrected for multiple comparisons using five thresholding approaches, yielding 34,560 significance maps. While some outcomes were relatively consistent across pipelines, others showed substantial methods-related variability in activation strength, location, and extent. Some analysis decisions contributed to this variability more than others, and different decisions were associated with distinct patterns of variability across the brain. Qualitative outcomes also varied with analysis parameters: many contrasts yielded significant activation under some pipelines but not others. Altogether, these results reveal considerable flexibility in the analysis of fMRI experiments. This observation, when combined with mathematical simulations linking analytic flexibility with elevated false positive rates, suggests that false positive results may be more prevalent than expected in the literature. This risk of inflated false positive rates may be mitigated by constraining the flexibility of analytic choices or by abstaining from selective analysis reporting.

Open Neuroscience Initiative is an open educational resource ideal for educators teaching college-level introductory neuroscience, non-majors brain and behavior, or physiological psychology courses. The textbook covers 16 major topics across its chapters, contains 106,000 words, and 363 images and tables to help students visualize complex concepts. Included are nearly 50 sidebars, containing clinically relevant information for students interested in careers as health care providers.

The work is collaboratively written and edited by scientists and educators.

Students learn about the human body's system components, specifically its sensory systems, nervous system and brain, while comparing them to robot system components, such as sensors and computers. The unit's life sciences-to-engineering comparison is accomplished through three lessons and five activities. The important framework of "stimulus-sensor-coordinator-effector-response" is introduced to show how it improves our understanding the cause-effect relationships of both systems. This framework reinforces the theme of the human body as a system from the perspective of an engineer. This unit is the second of a series, intended to follow the Humans Are Like Robots unit.

Vision is the primary sense of many animals and much is known about how vision is processed in the mammalian nervous system. One distinct property of the primary visual cortex is a highly organized pattern of sensitivity to location and orientation of objects in the visual field. But how did we learn this? An important tool is the ability to design experiments to map out the structure and response of a system such as vision. In this activity, students learn about the visual system and then conduct a model experiment to map the visual field response of a Panoptes robot. (In Greek mythology, Argus Panoptes was the "all-seeing" watchman giant with 100 eyes.) A simple activity modification enables a true black box experiment, in which students do not directly observe how the visual system is configured, and must match the input to the output in order to reconstruct the unseen system inside the box.

Parkinson's disease (PD) is a chronic, progressive, degenerative disease of the brain that produces movement disorders and deficits in executive functions, working memory, visuospatial functions, and internal control of attention. It is named after James Parkinson (1755-1824), the English neurologist who described the first case.
This six-week summer workshop explored different aspects of PD, including clinical characteristics, structural neuroimaging, neuropathology, genetics, and cognitive function (mental status, cognitive control processes, working memory, and long-term declarative memory).  The workshop did not take up the topics of motor control, nondeclarative memory, or treatment.

Keynote presentations, workshop materials, and other helpful resources from the 2020 Partnerships for Well-Being Institute hosted by Human Services at UC Davis Continuing and Professional Education. This includes content from both the June 3 Virtual Mini-Institute and the in-person institute currently scheduled for Dec. 8-10 in Garden Grove, CA.