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Frontal Lobe: The anterior part of the cerebral hemisphere.

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

1Department of Neurosurgery, University of Minnesota, 2Department of Neurosurgery, Barrow Neurological Institute, St. Josephs Hospital and Medical Center, 3Department of Radiology, University of Alabama at Birmingham, 4Department of Radiology, University of Minnesota, 5Department of Neurosurgery, Tepecik Training and Research Hospital, 6Department of Neurosurgery, Cerrahpasa Medical School, University of Istanbul

JoVE 55681


 Neuroscience

Analyzing Dendritic Morphology in Columns and Layers

1Section on Neuronal Connectivity, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health (NIH), 2Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institutes of Health (NIH), 3Biomedical Imaging Research Services Section, Center for Information Technology, National Institutes of Health (NIH)

JoVE 55410


 Neuroscience

Manipulation of Epileptiform Electrocorticograms (ECoGs) and Sleep in Rats and Mice by Acupuncture

1Department of Sports, Health & Leisure, College of Tourism, Leisure and Sports, Aletheia University, Tainan Campus, 2Department of Neurology, Mackay Memorial Hospital and Mackay Medical College, 3Department of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, 4Graduate Institute of Brain & Mind Sciences, College of Medicine, National Taiwan University, 5Graduate Institute of Acupuncture Science, College of Chinese Medicine, China Medical University

JoVE 54896


 Behavior

Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia

1Department of Neurology, Perelman School of Medicine, University of Pennsylvania, 2Center for Cognitive Neuroscience, University of Pennsylvania, 3Veterans Affairs Boston Healthcare System, 4Harold Goodglass Aphasia Research Center, Boston University School of Medicine, 5Department of Neurology, Boston University School of Medicine

JoVE 50228


 Medicine

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks

1Department of Medical Physics and Biomedical Engineering, Malet Place Engineering Building, University College London, 2Infrared Imaging Lab, Institute for Advanced Biomedical Technology (ITAB), Department of Neuroscience, Imaging and Clinical Sciences, University of Chieti-Pescara, 3Institute of Cognitive Neuroscience, Alexandra House, University College London

JoVE 53336


 Behavior

Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements

1Department of Molecular Medicine, Sapienza University of Rome, 2Department of Communication and Social Research, Sapienza University of Rome, 3Department of Anatomical, Histological, Forensic, and Orthopedic Sciences, Sapienza University of Rome, 4BrainSigns SRL

JoVE 55872


 Neuroscience

fMRI Validation of fNIRS Measurements During a Naturalistic Task

1Department of Psychiatry, Yale School of Medicine, 2Department of Electronics and Bioinformatics, Meiji University, 3Department of Histology and Neurobiology, Dokkyo Medical University School of Medicine, 4ADAM Center, Department of Physical Therapy, Movement and Rehabilitation Sciences, Northeastern University, 5Department of Neurobiology, Yale School of Medicine

JoVE 52116


 Behavior

Decoding Auditory Imagery with Multivoxel Pattern Analysis

JoVE 10267

Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California

Imagine the sound of a bell ringing. What is happening in the brain when we conjure up a sound like this in the "mind's ear?" There is growing evidence that the brain uses the same mechanisms for imagination that it uses for perception.1 For example, when imagining visual images, the visual cortex becomes activated, and when imagining sounds, the auditory cortex is engaged. However, to what extent are these activations of sensory cortices specific to the content of our imaginations? One technique that can help to answer this question is multivoxel pattern analysis (MPVA), in which functional brain images are analyzed using machine-learning techniques.2-3 In an MPVA experiment, we train a machine-learning algorithm to distinguish among the various patterns of activity evoked by different stimuli. For example, we might ask if imagining the sound of a bell produces different patterns of activity in auditory cortex compared with imagining the sound of a chainsaw, or the sound of a violin. If our classifier learns to tell apart the brain activity patterns produced by these three stimuli, then we can conclude that the auditory cortex is activated in a distinct


 Neuropsychology

State of the Art Cranial Ultrasound Imaging in Neonates

1Department of Pediatrics, Division of Neonatology, Erasmus MC-Sophia Children's Hospital, 2Department of Radiology, Erasmus MC-Sophia Children's Hospital, 3Department of Pediatrics, Division of Neonatology, UZ Brussel, 4Department of Pediatrics, Division of Neonatology, Leiden University Medical Center, 5Department of Pediatrics, Division of Neonatology, Isala Hospital, 6Department of Pediatrics, Koningin Paola Children's Hospital

JoVE 52238


 Medicine

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

1LC Campbell Cognitive Neurology Research Unit, Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Brain Sciences Research Program, Sunnybrook Health Sciences Centre, 2Department of Medicine (Neurology), Institute of Medical Science, University of Toronto

JoVE 50887


 Medicine

High Resolution Quantitative Synaptic Proteome Profiling of Mouse Brain Regions After Auditory Discrimination Learning

1Leibniz Institute for Neurobiology (LIN), 2Institute of Experimental Internal Medicine, Medical School, Otto von Guericke University Magdeburg, 3Institute of Pharmacology and Toxicology, Medical School, Otto von Guericke University

JoVE 54992


 Neuroscience

Using fMRI to Dissect Moral Judgment

JoVE 10306

Source: William Brady & Jay Van Bavel—New York University

In examining the roles of reason and emotion in moral judgments, psychologists and philosophers alike point to the trolley dilemma and the footbridge dilemma. With the trolley dilemma, most people say that it is appropriate to pull a switch to stop a train from hitting five people by diverting it to kill one person. However, with the footbridge dilemma, most people say it is inappropriate to push a large man off of a bridge in order to hit a train (killing him) and stop it from running into five people. Reason would dictate that in both of the foregoing dilemmas, one life should be sacrificed to save five lives. But to many people, pushing the large man just “feels wrong” because it triggers more negative emotions than pulling a switch. In this case, emotion seems to trump reason.   In recent years, psychology and neuroscience have entered the debate over the roles of reason and emotion in moral judgment. Researchers can scan brain activity as individuals make making moral judgments. Research shows that different brain areas associated are active during contemplation of the footbridge dilemma versus the trolley dilemma. Inspired by Greene, Sommerville, Nystrom, Darley and Cohen, thi


 Social Psychology

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex

1Department of Neurosurgery, Columbia University Medical Center, New York Presbyterian Hospital, 2Department of Neurology, Columbia University Medical Center, New York Presbyterian Hospital, 3Columbia University Medical Center, New York Presbyterian Hospital, 4School of Medicine, King's College London

JoVE 52773


 Neuroscience

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

1Department of Neurology, Harvard Medical School, 2Department of Neurology, Beth Israel Deaconess Medical Center, 3Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, 4Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 5Department of Neurology, Massachusetts General Hospital

JoVE 53727


 Medicine

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

1Department of Neurosciences, Cleveland Clinic Foundation, 2Epilepsy Center, Cleveland Clinic Foundation, 3Department of Neurosciences and Center for Neurological Restoration, Cleveland Clinic Foundation, 4Department of Biomedical Engineering, Johns Hopkins University

JoVE 51947


 Behavior

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease

1Department of Clinical Neurosciences, University of Cambridge, 2Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, 3U.O. Direzione Scientifica, Fondazione IRCCS Istituto Neurologico Carlo Besta, 4Institute of Cognitive Neuroscience, University College London, 5Department of Psychology, University of York

JoVE 54454


 Behavior

Measuring Grey Matter Differences with Voxel-based Morphometry: The Musical Brain

JoVE 10299

Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California

Experience shapes the brain. It is well understood that our brains are different as a result of learning. While many experience-related changes manifest themselves at the microscopic level, for example by neurochemical adjustments in the behavior of individual neurons, we may also examine anatomical changes to the structure of the brain at a macroscopic level. One famous example of this kind of change comes from the case of the London taxi drivers, who along with learning the complex routes of the city show larger volume in the hippocampus, a brain structure known to play a role in navigational memory.1 Many traditional methods of examining brain anatomy require painstaking tracing of anatomical regions of interest in order to measure their size. However, using modern neuroimaging techniques, we can now compare the anatomy of the brains across groups of people using automated algorithms. While these techniques do not avail themselves of the sophisticated knowledge that human neuroanatomists may bring to the task, they are quick, and sensitive to very small differences in anatomy. In a structural magnetic resonance image of the brain, the intensity of each volumetric pixel, or voxel, relat


 Neuropsychology

Multi-electrode Array Recordings of Human Epileptic Postoperative Cortical Tissue

1Neuroglial Interactions in Cerebral Physiopathology, Center for Interdisciplinary Research in Biology, CNRS UMR 7241, INSERM U1050, Collège de France, 2Infantile Epilepsies & Brain Plasticity, INSERM U1129, PRES, Paris Descartes University, Sorbonne Paris Cité, CEA, 3Neurosurgery Department, Necker Hospital, AP-HP, Paris Descartes University, 4Rare Epilepsies Reference Center, Necker Hospital, AP-HP, Paris Descartes University, 5Neurophysiology Department, La Pitié-Salpêtrière Hospital, AP-HP, Sorbonne and Pierre and Marie Curie University

JoVE 51870


 Medicine

Decision-making and the Iowa Gambling Task

JoVE 10208

Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California

Decision-making is an important component of human executive function, in which a choice about a course of action or cognition is made from many possibilities. Damage to the inferior parts of the frontal lobes can affect a person's ability to make good decisions. However, while decision-making deficits can have a large impact on one's life, these deficits can be difficult to quantify in the laboratory. In the mid-1990s, a task was designed to mimic real life decision-making in the laboratory. This task, known as the Iowa Gambling Task (IGT), is a cognitively complex task used widely in research and clinical studies as a highly sensitive measure of decision-making ability.1-3 In the IGT, a participant is shown four decks of cards and chooses to reveal a card from one deck on each turn. When a card is turned over, the participant will receive some money, but sometimes will also be required to pay a penalty. Two of the decks have higher payoffs, but also have high penalties such that choosing from these decks leads to a net loss in the long term. The other two decks have lower payoffs, but also present smaller penalties, so that choosing from these decks leads to a net gain. Thus, to make an a


 Neuropsychology

Event-related Potentials and the Oddball Task

JoVE 10273

Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California

Given the overwhelming amount of information captured by the sensory organs, it is crucial that the brain is able to prioritize the processing of certain stimuli, to spend less effort on what might not be currently important and to attend to what is. One heuristic the brain uses is to ignore stimuli that are frequent or constant in favor of stimuli that are unexpected or unique. Therefore, rare events tend to be more salient and capture our attention. Furthermore, stimuli that are relevant to our current behavioral goals are prioritized over those that are irrelevant. The neurophysiological correlates of attention have been experimentally examined through the use of the oddball paradigm. Originally introduced in 1975, the oddball task presents the participant with a sequence of repetitive audio or visual stimuli, infrequently interrupted by an unexpected stimulus.1 This interruption by a target stimulus has been shown to elicit specific electrical events that are recordable at the scalp known as event-related potentials (ERPs). An ERP is the measured brain response resulting from a specific sensory, cognitive, or motor event. ERPs are measured using electroencephalography (EEG), a noninv


 Neuropsychology

Immunostaining for DNA Modifications: Computational Analysis of Confocal Images

1Division of Cancer and Stem Cells, School of Medicine, Centre for Biomolecular Sciences, University of Nottingham, 2School of Life Sciences Imaging (SLIM), School of Life Sciences, University of Nottingham, 3Children's Brain Tumour Research Centre, School of Medicine, QMC, University of Nottingham

JoVE 56318


 Genetics

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

1Department of Psychiatry, University of Geneva School of Medicine, 2Signal Processing Laboratory, École Polytechnique Fédérale de Lausanne, 3Department of Radiology, University Hospital Center and University of Lausanne, 4Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital

JoVE 3417


 Medicine

Non-invasive Imaging and Analysis of Cerebral Ischemia in Living Rats Using Positron Emission Tomography with 18F-FDG

1W. M. Keck Center for Transgene Research, University of Notre Dame, 2Department of Chemistry and Biochemistry, University of Notre Dame, 3Notre Dame Integrated Imaging Facility, University of Notre Dame, 4Department of Biological Sciences, University of Notre Dame, 5Harper Cancer Research Institute, University of Notre Dame

JoVE 51495


 Medicine

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