The Vividness of Visual Imagery Questionnaire ( VVIQ ) was developed in 1973 by the British psychologist David Marks . The VVIQ consists of 16 items in four groups of 4 items in which the participant is invited to consider the mental image formed in thinking about specific scenes and situations. The vividness of the image is rated along a 5-point scale. The questionnaire has been widely used as a measure of individual differences in vividness of visual imagery. The large body of evidence confirms that the VVIQ is a valid and reliable psychometric measure of visual image vividness.
130-565: In 1995 Marks published a new version of the VVIQ, the VVIQ2 . This questionnaire consists of twice the number of items and reverses the rating scale so that higher scores reflect higher vividness. More recently, Campos and Pérez-Fabello evaluated the reliability and construct validity of the VVIQ and the VVIQ2. Cronbach's α {\displaystyle \alpha } reliabilities for both
260-444: A brain region contribute to the undershoot. The mechanism by which the neural system provides feedback to the vascular system of its need for more glucose is partly the release of glutamate as part of neuron firing. This glutamate affects nearby supporting cells, astrocytes , causing a change in calcium ion concentration. This, in turn, releases nitric oxide at the contact point of astrocytes and intermediate-sized blood vessels,
390-437: A coil to recreate the positions of the nuclei. MRI thus provides a static structural view of brain matter. The central thrust behind fMRI was to extend MRI to capture functional changes in the brain caused by neuronal activity. Differences in magnetic properties between arterial (oxygen-rich) and venous (oxygen-poor) blood provided this link. Since the 1890s, it has been known that changes in blood flow and blood oxygenation in
520-556: A common brain atlas, and adjust all the brains to align to the atlas, and then analyze them as a single group. The atlases commonly used are the Talairach one, a single brain of an elderly woman created by Jean Talairach , and the Montreal Neurological Institute (MNI) one. The second is a probabilistic map created by combining scans from over a hundred individuals. This normalization to a standard template
650-414: A criterion of 0.7 is universally employed. He advocated 0.7 as a criterion for the early stages of a study, most studies published in the journal do not fall under that category. Rather than 0.7, Nunnally's applied research criterion of 0.8 is more suited for most empirical studies. His recommendation level did not imply a cutoff point. If a criterion means a cutoff point, it is important whether or not it
780-498: A decrease in T2*, consistent with the BOLD mechanism. T2* decay is caused by magnetized nuclei in a volume of space losing magnetic coherence (transverse magnetization) from both bumping into one another and from experiencing differences in the magnetic field strength across locations (field inhomogeneity from a spatial gradient). Bandettini and colleagues used EPI at 1.5 T to show activation in
910-460: A design matrix specifying which events are active at any timepoint. One common way is to create a matrix with one column per overlapping event, and one row per time point, and to mark it if a particular event, say a stimulus, is active at that time point. One then assumes a specific shape for the HR, leaving only its amplitude changeable in active voxels. The design matrix and this shape are used to generate
1040-484: A few alternatives to automatically calculate SEM-based reliability coefficients. Functional magnetic resonance imaging Functional magnetic resonance imaging or functional MRI ( fMRI ) measures brain activity by detecting changes associated with blood flow . This technique relies on the fact that cerebral blood flow and neuronal activation are coupled. When an area of the brain is in use, blood flow to that region also increases. The primary form of fMRI uses
1170-412: A high level of reliability may be required. The following methods can be considered to increase reliability. Before data collection : After data collection: ρ T {\displaystyle \rho _{T}} is used in an overwhelming proportion. A study estimates that approximately 97% of studies use ρ T {\displaystyle \rho _{T}} as
1300-412: A large study with 285 participants, Tabi, Maio, Attaallah, et al. (2022) investigated the association between VVIQ scores, visual short-term memory performance and volumes of brain structures including the hippocampus , amygdala , primary motor cortex , primary visual cortex and the fusiform gyrus . Tabi et al. (2022) used a variant of the “What was where?” visual object-location binding task to assess
1430-434: A lot of glucose, its primary source of energy. When neurons become active, getting them back to their original state of polarization requires actively pumping ions across the neuronal cell membranes, in both directions. The energy for those ion pumps is mainly produced from glucose. More blood flows in to transport more glucose, also bringing in more oxygen in the form of oxygenated hemoglobin molecules in red blood cells. This
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#17327727307961560-816: A more reliable self-report measure than the VVIQ, and “may reflect a more direct route of reportability than the latter”. Recent studies have found that individual differences in VVIQ scores can be used to predict changes in a person's brain while visualizing different activities. Unlike associations between cognitive or perceptual performance measures and VVIQ scores, demand characteristics and social desirability effects can be eliminated as possible explanations of any observed differences between vivid and non-vivid images. Marks and Issac (1995) mapped electroencephalographic (EEG) activity topographically during visual and motor imagery in vivid and non-vivid imagers. Topographical maps of EEG activation revealed attenuation of alpha power in vivid images during visual imagery, particularly in
1690-408: A peak at about 5 seconds after the stimulus. If the neurons keep firing, say from a continuous stimulus, the peak spreads to a flat plateau while the neurons stay active. After activity stops, the BOLD signal falls below the original level, the baseline, a phenomenon called the undershoot. Over time the signal recovers to the baseline. There is some evidence that continuous metabolic requirements in
1820-467: A person who takes the test with a reliability of one will either receive a perfect score or a zero score, because if they answer one item correctly or incorrectly, they will answer all other items in the same manner. The phenomenon where validity is sacrificed to increase reliability is known as the attenuation paradox. A high value of reliability can conflict with content validity. To achieve high content validity, each item should comprehensively represent
1950-426: A person. Thermal noise multiplies in line with the static field strength, but physiological noise multiplies as the square of the field strength. Since the signal also multiplies as the square of the field strength, and since physiological noise is a large proportion of total noise, higher field strengths above 3 T do not always produce proportionately better images. Heat causes electrons to move around and distort
2080-551: A prediction of the exact HR of the voxel at every timepoint, using the mathematical procedure of convolution . This prediction does not include the scaling required for every event before summing them. The basic model assumes the observed HR is the predicted HR scaled by the weights for each event and then added, with noise mixed in. This generates a set of linear equations with more equations than unknowns. A linear equation has an exact solution, under most conditions, when equations and unknowns match. Hence one could choose any subset of
2210-445: A proportion of current value), peaking at 4 to 6 seconds, and then falling multiplicatively. Changes in the blood-flow system, the vascular system, integrate responses to neuronal activity over time. Because this response is a smooth continuous function, sampling with ever-faster TRs does not help; it just gives more points on the response curve obtainable by simple linear interpolation anyway. Experimental paradigms such as staggering when
2340-453: A range of stimulus or response durations. The refractory effect can be used in a way similar to habituation to see what features of a stimulus a person discriminates as new. Further limits to linearity exist because of saturation: with large stimulation levels a maximum BOLD response is reached. Researchers have checked the BOLD signal against both signals from implanted electrodes (mostly in monkeys) and signals of field potentials (that
2470-543: A region; the slowness of the vascular response means the final signal is the summed version of the whole region's network; blood flow is not discontinuous as the processing proceeds. Also, both inhibitory and excitatory input to a neuron from other neurons sum and contribute to the BOLD signal. Within a neuron these two inputs might cancel out. The BOLD response can also be affected by a variety of factors, including disease, sedation, anxiety, medications that dilate blood vessels, and attention (neuromodulation) . The amplitude of
2600-429: A reliability coefficient. However, simulation studies comparing the accuracy of several reliability coefficients have led to the common result that ρ T {\displaystyle \rho _{T}} is an inaccurate reliability coefficient. Methodological studies are critical of the use of ρ T {\displaystyle \rho _{T}} . Simplifying and classifying
2730-811: A score from each scale item and correlating it with the total score for each observation. The resulting correlations are then compared with the variance for all individual item scores. Cronbach's alpha is best understood as a function of the number of questions or items in a measure, the average covariance between pairs of items, and the overall variance of the total measured score. α = k k − 1 ( 1 − ∑ i = 1 k σ y i 2 σ y 2 ) {\displaystyle \alpha ={k \over k-1}\left(1-{\sum _{i=1}^{k}\sigma _{y_{i}}^{2} \over \sigma _{y}^{2}}\right)} where: Alternatively, it can be calculated through
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#17327727307962860-476: A second and presented for 3 to 24 seconds. Their result showed that when visual contrast of the image was increased, the HR shape stayed the same but its amplitude increased proportionally. With some exceptions, responses to longer stimuli could also be inferred by adding together the responses for multiple shorter stimuli summing to the same longer duration. In 1997, Dale and Buckner tested whether individual events, rather than blocks of some duration, also summed
2990-517: A second, awareness and reflection of the incident sets in. Remembering a similar event may take a few seconds, and emotional or physiological changes such as fear arousal may last minutes or hours. Learned changes, such as recognizing faces or scenes, may last days, months, or years. Most fMRI experiments study brain processes lasting a few seconds, with the study conducted over some tens of minutes. Subjects may move their heads during that time, and this head motion needs to be corrected for. So does drift in
3120-511: A seizure, study how the brain recovers partially from a stroke, and test how well a drug or behavioral therapy works. Mapping of functional areas and understanding lateralization of language and memory help surgeons avoid removing critical brain regions when they have to operate and remove brain tissue. This is of particular importance in removing tumors and in patients who have intractable temporal lobe epilepsy. Lesioning tumors requires pre-surgical planning to ensure no functionally useful tissue
3250-443: A similar relationship at least for the auditory cortex and the primary visual cortex. Activation locations detected by BOLD fMRI in cortical areas (brain surface regions) are known to tally with CBF-based functional maps from PET scans . Some regions just a few millimeters in size, such as the lateral geniculate nucleus (LGN) of the thalamus, which relays visual inputs from the retina to the visual cortex, have been shown to generate
3380-495: A single factor that explained 37% of the variance with good internal consistency (Cronbach α = 88). The VVIQ has spawned imagery vividness questionnaires across several other modalities including auditory (VAIQ; Brett and Starker, 1977), movement (VMIQ; Isaac, Marks and Russell, 1986), olfactory(VOIQ; Gilbert, Crouch and Kemp, 1998) and wine imagery (VWIQ; Croijmans, Speed, Arshamian and Majid, 2019). Some critics have argued that introspective or ‘self-report’ questionnaires including
3510-472: A stimulus is presented at various trials can improve temporal resolution, but reduces the number of effective data points obtained. The change in the MR signal from neuronal activity is called the hemodynamic response (HR). It lags the neuronal events triggering it by a couple of seconds, since it takes a while for the vascular system to respond to the brain's need for glucose. From this point it typically rises to
3640-427: A stimulus, and to solve problems, often change over time and over tasks. This generates variations in neural activity from trial to trial within a subject. Across people too neural activity differs for similar reasons. Researchers often conduct pilot studies to see how participants typically perform for the task under consideration. They also often train subjects how to respond or react in a trial training session prior to
3770-469: A structural image with MRI. The structural image is usually of a higher resolution and depends on a different signal, the T1 magnetic field decay after excitation. To demarcate regions of interest in the functional image, one needs to align it with the structural one. Even when whole-brain analysis is done, to interpret the final results, that is to figure out which regions the active voxels fall in, one has to align
3900-421: A time. During the late 19th century, Angelo Mosso invented the 'human circulation balance', which could non-invasively measure the redistribution of blood during emotional and intellectual activity. However, although briefly mentioned by William James in 1890, the details and precise workings of this balance and the experiments Mosso performed with it remained largely unknown until the recent discovery of
4030-405: A timing correction is applied to bring all slices to the same timepoint reference. This is done by assuming the timecourse of a voxel is smooth when plotted as a dotted line. Hence the voxel's intensity value at other times not in the sampled frames can be calculated by filling in the dots to create a continuous curve. Head motion correction is another common preprocessing step. When the head moves,
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4160-469: A window of a few seconds. Other methods of obtaining contrast are arterial spin labeling and diffusion MRI . Diffusion MRI is similar to BOLD fMRI but provides contrast based on the magnitude of diffusion of water molecules in the brain. In addition to detecting BOLD responses from activity due to tasks or stimuli, fMRI can measure resting state , or negative-task state, which shows the subjects' baseline BOLD variance. Since about 1998 studies have shown
4290-522: Is a reliability coefficient and a measure of the internal consistency of tests and measures. It was named after the American psychologist Lee Cronbach . Numerous studies warn against using Cronbach's alpha unconditionally. Statisticians regard reliability coefficients based on structural equation modeling (SEM) or generalizability theory as superior alternatives in many situations. In his initial 1951 publication, Lee Cronbach described
4420-410: Is a prerequisite for ρ T {\displaystyle \rho _{T}} . One should check uni-dimensionality before calculating ρ T {\displaystyle \rho _{T}} rather than calculating ρ T {\displaystyle \rho _{T}} to check uni-dimensionality. The term "internal consistency" is commonly used in
4550-420: Is an assumption of commonly used event-related fMRI designs. Physicians use fMRI to assess how risky brain surgery or similar invasive treatment is for a patient and to learn how a normal, diseased or injured brain is functioning. They map the brain with fMRI to identify regions linked to critical functions such as speaking, moving, sensing, or planning. This is useful to plan for surgery and radiation therapy of
4680-406: Is carried by the hemoglobin molecule in red blood cells . Deoxygenated hemoglobin (dHb) is more magnetic ( paramagnetic ) than oxygenated hemoglobin (Hb), which is virtually resistant to magnetism ( diamagnetic ). This difference leads to an improved MR signal since the diamagnetic blood interferes with the magnetic MR signal less. This improvement can be mapped to show which neurons are active at
4810-412: Is changes in the current or voltage distribution of the brain itself inducing changes in the receiver coil and reducing its sensitivity. A procedure called impedance matching is used to bypass this inductance effect. There could also be noise from the magnetic field not being uniform. This is often adjusted for by using shimming coils, small magnets physically inserted, say into the subject's mouth, to patch
4940-413: Is done by mathematically checking which combination of stretching, squeezing, and warping reduces the differences between the target and the reference. While this is conceptually similar to motion correction, the changes required are more complex than just translation and rotation, and hence optimization even more likely to depend on the first transformations in the chain that is checked. Temporal filtering
5070-434: Is from both a higher rate of blood flow and an expansion of blood vessels. The blood-flow change is localized to within 2 or 3 mm of where the neural activity is. Usually the brought-in oxygen is more than the oxygen consumed in burning glucose (it is not yet settled whether most glucose consumption is oxidative), and this causes a net decrease in deoxygenated hemoglobin (dHb) in that brain area's blood vessels. This changes
5200-484: Is from head and brain movement in the scanner from breathing, heart beats, or the subject fidgeting, tensing, or making physical responses such as button presses. Head movements cause the voxel-to-neurons mapping to change while scanning is in progress. Noise due to head movement is a particular issue when working with children, although there are measures that can be taken to reduce head motion when scanning children, such as changes in experimental design and training prior to
5330-412: Is harder for those with clinical problems to stay still for long. Using head restraints or bite bars may injure epileptics who have a seizure inside the scanner; bite bars may also discomfort those with dental prostheses. Despite these difficulties, fMRI has been used clinically to map functional areas, check left-right hemispherical asymmetry in language and memory regions, check the neural correlates of
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5460-700: Is measured by the size of voxels, as in MRI. A voxel is a three-dimensional rectangular cuboid, whose dimensions are set by the slice thickness, the area of a slice, and the grid imposed on the slice by the scanning process. Full-brain studies use larger voxels, while those that focus on specific regions of interest typically use smaller sizes. Sizes range from 4 to 5 mm, or with laminar resolution fMRI (lfMRI), to submillimeter. Smaller voxels contain fewer neurons on average, incorporate less blood flow, and hence have less signal than larger voxels. Smaller voxels imply longer scanning times, since scanning time directly rises with
5590-475: Is met, but it is unimportant how much it is over or under. He did not mean that it should be strictly 0.8 when referring to the criteria of 0.8. If the reliability has a value near 0.8 (e.g., 0.78), it can be considered that his recommendation has been met. Nunnally's idea was that there is a cost to increasing reliability, so there is no need to try to obtain maximum reliability in every situation. Measurements with perfect reliability lack validity. For example,
5720-421: Is not an indicator of any of these. Removing an item using "alpha if item deleted" may result in 'alpha inflation,' where sample-level reliability is reported to be higher than population-level reliability. It may also reduce population-level reliability. The elimination of less-reliable items should be based not only on a statistical basis but also on a theoretical and logical basis. It is also recommended that
5850-433: Is not possible to search for all possible candidates; nor is there right now an algorithm that provides a globally optimal solution independent of the first transformations we try in a chain. Distortion corrections account for field nonuniformities of the scanner. One method, as described before, is to use shimming coils. Another is to recreate a field map of the main field by acquiring two images with differing echo times. If
5980-413: Is removed needlessly. Recovered depressed patients have shown altered fMRI activity in the cerebellum, and this may indicate a tendency to relapse. Pharmacological fMRI, assaying brain activity after drugs are administered, can be used to check how much a drug penetrates the blood–brain barrier and dose vs effect information of the medication. Research is primarily performed in non-human primates such as
6110-633: Is the best to use. Some people suggest ω H {\displaystyle \omega _{H}} as an alternative, but ω H {\displaystyle \omega _{H}} shows information that is completely different from reliability. ω H {\displaystyle \omega _{H}} is a type of coefficient comparable to Reveille's β {\displaystyle \beta } . They do not substitute, but complement reliability. Among SEM-based reliability coefficients, multidimensional reliability coefficients are rarely used, and
6240-518: Is the electric or magnetic field from the brain's activity, measured outside the skull) from EEG and MEG . The local field potential, which includes both post-neuron-synaptic activity and internal neuron processing, better predicts the BOLD signal. So the BOLD contrast reflects mainly the inputs to a neuron and the neuron's integrative processing within its body, and less the output firing of neurons. In humans, electrodes can be implanted only in patients who need surgery as treatment, but evidence suggests
6370-463: Is the removal of frequencies of no interest from the signal. A voxel's intensity change over time can be represented as the sum of a number of different repeating waves with differing periods and heights. A plot with these periods on the x-axis and the heights on the y-axis is called a power spectrum , and this plot is created with the Fourier transform technique. Temporal filtering amounts to removing
6500-435: Is to detect correlations between brain activation and a task the subject performs during the scan. It also aims to discover correlations with the specific cognitive states, such as memory and recognition, induced in the subject. The BOLD signature of activation is relatively weak, however, so other sources of noise in the acquired data must be carefully controlled. This means that a series of processing steps must be performed on
6630-503: The arterioles . Nitric oxide is a vasodilator causing arterioles to expand and draw in more blood. A single voxel 's response signal over time is called its timecourse. Typically, the unwanted signal, called the noise, from the scanner, random brain activity and similar elements is as big as the signal itself. To eliminate these, fMRI studies repeat a stimulus presentation multiple times. Spatial resolution of an fMRI study refers to how well it discriminates between nearby locations. It
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#17327727307966760-410: The bell curve . If the true spatial extent of activation, that is the spread of the cluster of voxels simultaneously active, matches the width of the filter used, this process improves the signal-to-noise ratio . It also makes the total noise for each voxel follow a bell-curve distribution, since adding together a large number of independent, identical distributions of any kind produces the bell curve as
6890-430: The blood-oxygen-level dependent (BOLD) contrast, discovered by Seiji Ogawa in 1990. This is a type of specialized brain and body scan used to map neural activity in the brain or spinal cord of humans or other animals by imaging the change in blood flow ( hemodynamic response ) related to energy use by brain cells. Since the early 1990s, fMRI has come to dominate brain mapping research because it does not involve
7020-409: The brain (collectively known as brain hemodynamics ) are closely linked to neural activity. When neurons become active, local blood flow to those brain regions increases, and oxygen-rich (oxygenated) blood displaces oxygen-depleted (deoxygenated) blood around 2 seconds later. This rises to a peak over 4–6 seconds, before falling back to the original level (and typically undershooting slightly). Oxygen
7150-419: The rhesus macaque . These studies can be used both to check or predict human results and to validate the fMRI technique itself. But the studies are difficult because it is hard to motivate an animal to stay still and typical inducements such as juice trigger head movement while the animal swallows it. It is also expensive to maintain a colony of larger animals such as the macaque. The goal of fMRI data analysis
7280-445: The BOLD signal correctly when presented with visual input. Nearby regions such as the pulvinar nucleus were not stimulated for this task, indicating millimeter resolution for the spatial extent of the BOLD response, at least in thalamic nuclei. In the rat brain, single-whisker touch has been shown to elicit BOLD signals from the somatosensory cortex . However, the BOLD signal cannot separate feedback and feedforward active networks in
7410-439: The BOLD signal does not necessarily affect its shape. A higher-amplitude signal may be seen for stronger neural activity, but peaking at the same place as a weaker signal. Also, the amplitude does not necessarily reflect behavioral performance. A complex cognitive task may initially trigger high-amplitude signals associated with good performance, but as the subject gets better at it, the amplitude may decrease with performance staying
7540-443: The BOLD signal has used optogenetic techniques in rodents to precisely control neuronal firing while simultaneously monitoring the BOLD response using high field magnets (a technique sometimes referred to as "optofMRI"). These techniques suggest that neuronal firing is well correlated with the measured BOLD signal including approximately linear summation of the BOLD signal over closely spaced bursts of neuronal firing. Linear summation
7670-486: The BOLD signal. Some companies have developed commercial products such as lie detectors based on fMRI techniques, but the research is not believed to be developed enough for widespread commercial use. The fMRI concept builds on the earlier MRI scanning technology and the discovery of properties of oxygen-rich blood. MRI brain scans use a strong, permanent, static magnetic field - expressed in Tesla (T) - to align nuclei in
7800-1346: The Primary Motor Cortex, of the Primary Visual Cortex and of the Fusiform Gyrus. Vividness of Visual Imagery Questionnaire (VVIQ) Scores positively correlated with the volume of the Hippocampus and the Primary Visual Cortex but not with the volume of the Amygdala or the Primary Motor Cortex controls, suggesting an involvement of these two areas in visual imagery and confirming our second hypothesis. There was, however, no correlation of Fusiform gyrus volume and VVIQ (Tabi, et al., 2022). The neuropsychological evidence indicates that people who are high vs. low VVIQ scorers have associated cortical volumes in structures thought to be responsible for image generation. Cronbach%27s alpha Cronbach's alpha (Cronbach's α {\displaystyle \alpha } ), also known as tau-equivalent reliability ( ρ T {\displaystyle \rho _{T}} ) or coefficient alpha (coefficient α {\displaystyle \alpha } ),
7930-430: The T 2 decay. Thus MR pulse sequences sensitive to T 2 show more MR signal where blood is highly oxygenated and less where it is not. This effect increases with the square of the strength of the magnetic field. The fMRI signal hence needs both a strong magnetic field (1.5 T or higher) and a pulse sequence such as EPI, which is sensitive to T 2 contrast. The physiological blood-flow response largely decides
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#17327727307968060-410: The VVIQ and criterion test performance with the strongest relationship with self-report tasks. A meta analysis of gender differences in 16 comparisons of men and women’s VVIQ scores showed a “slight but reliable tendency for women to report more vivid images than men” (Richardson (1995). However, Richardson observed that “randomizing the order of the items abolishes the gender differences suggesting that
8190-637: The VVIQ and the VVIQ-2 were found to be high. Estimates of internal consistency reliability and construct validity were found to be similar for the two versions. The VVIQ has proved an essential tool in the scientific investigation of mental imagery as a phenomenological, behavioral and neurological construct. Marks' 1973 paper has been cited in close to 2000 studies of mental imagery in a variety of fields including cognitive psychology , clinical psychology and neuropsychology . The procedure can be carried out with eyes closed and/or with eyes open. Total score on
8320-405: The VVIQ are “too subjective” and can fall under the influence of social desirability, demand characteristics and other uncontrolled factors (Kaufmann, 198). In spite of this issue, acceptably strong evidence of criterion validity for the VVIQ has been found in meta analysis of more than 200 studies. The meta analysis by McKelvie (1995) indicated that internal consistency and test-retest reliability of
8450-523: The VVIQ is a predictor of the person's performance in a variety of cognitive, motor, and creative tasks. For example, Marks (1973) reported that high vividness scores correlate with the accuracy of recall of coloured photographs. The VVIQ is in several languages apart from English including Spanish, Japanese, French (Denis, 1982), and Polish (Jankowska and Karwowski, 2020). Factor analysis of the Spanish VVIQ by Campos, González, and Amor (2002) indicated
8580-486: The VVIQ were acceptable and minimally acceptable respectively, while alternate form reliability was unacceptable. McKelvie (1995) reported only a weak correlation (r =.137) between VVIQ imagery ability and memory performance. However, McKelvie (1995, p. 59) asserted that his “findings support the construct of vividness and the validity of the VVIQ”. McKelvie’s meta analysis (1995, p. 81) obtained an acceptable relationship between
8710-432: The above data, both ρ P {\displaystyle \rho _{P}} and ρ C {\displaystyle \rho _{C}} have a value of one. The above example is presented by Cho and Kim (2015). Many textbooks refer to ρ T {\displaystyle \rho _{T}} as an indicator of homogeneity between items. This misconception stems from
8840-400: The accuracy of several reliability coefficients. The majority opinion is to use structural equation modeling or SEM -based reliability coefficients as an alternative to ρ T {\displaystyle \rho _{T}} . However, there is no consensus on which of the several SEM-based reliability coefficients (e.g., uni-dimensional or multidimensional models)
8970-543: The acquired images before the actual statistical search for task-related activation can begin. Nevertheless, it is possible to predict, for example, the emotions a person is experiencing solely from their fMRI, with a high degree of accuracy. Noise is unwanted changes to the MR signal from elements not of interest to the study. The five main sources of noise in fMRI are thermal noise, system noise, physiological noise, random neural activity and differences in both mental strategies and behavior across people and across tasks within
9100-428: The amplitudes of HRs . The period differs across brain regions. In both the primary motor cortex and the visual cortex, the HR amplitude scales linearly with duration of a stimulus or response. In the corresponding secondary regions, the supplementary motor cortex , which is involved in planning motor behavior, and the motion-sensitive V5 region, a strong refractory period is seen and the HR amplitude stays steady across
9230-538: The balance was really able to measure changes in cerebral blood flow due to cognition , however a modern replication performed by David T Field has now demonstrated—using modern signal processing techniques unavailable to Mosso—that a balance apparatus of this type is able to detect changes in cerebral blood volume related to cognition. In 1890, Charles Roy and Charles Sherrington first experimentally linked brain function to its blood flow, at Cambridge University . The next step to resolving how to measure blood flow to
9360-479: The baseline signal over time. Boredom and learning may modify both subject behavior and cognitive processes. When a person performs two tasks simultaneously or in overlapping fashion, the BOLD response is expected to add linearly. This is a fundamental assumption of many fMRI studies that is based on the principle that continuously differentiable systems can be expected to behave linearly when perturbations are small; they are linear to first order. Linear addition means
9490-449: The brain region being studied. Another magnetic field, the gradient field, is then applied to spatially locate different nuclei. Finally, a radiofrequency (RF) pulse is played to kick the nuclei to higher magnetization levels, with the effect now depending on where they are located. When the RF field is removed, the nuclei go back to their original states, and the energy they emit is measured with
9620-408: The brain surface and within-brain regions, culminating in a connected capillary bed within the brain. The drainage system, similarly, merges into larger and larger veins as it carries away oxygen-depleted blood. The dHb contribution to the fMRI signal is from both the capillaries near the area of activity and larger draining veins that may be farther away. For good spatial resolution, the signal from
9750-407: The brain was Linus Pauling 's and Charles Coryell's discovery in 1936 that oxygen-rich blood with Hb was weakly repelled by magnetic fields, while oxygen-depleted blood with dHb was attracted to a magnetic field, though less so than ferromagnetic elements such as iron. Seiji Ogawa at AT&T Bell labs recognized that this could be used to augment MRI, which could study just the static structure of
9880-421: The brain, since the differing magnetic properties of dHb and Hb caused by blood flow to activated brain regions would cause measurable changes in the MRI signal. BOLD is the MRI contrast of dHb, discovered in 1990 by Ogawa. In a seminal 1990 study based on earlier work by Thulborn et al., Ogawa and colleagues scanned rodents in a strong magnetic field (7.0 T ) MRI. To manipulate blood oxygen level, they changed
10010-489: The brain. Clinical use of fMRI still lags behind research use. Patients with brain pathologies are more difficult to scan with fMRI than are young healthy volunteers, the typical research-subject population. Tumors and lesions can change the blood flow in ways not related to neural activity, masking the neural HR. Drugs such as antihistamines and even caffeine can affect HR. Some patients may have disorders such as compulsive lying, which makes certain studies impossible. It
10140-423: The broad range here is given by the visual processing system. What the eye sees is registered on the photoreceptors of the retina within a millisecond or so. These signals get to the primary visual cortex via the thalamus in tens of milliseconds. Neuronal activity related to the act of seeing lasts for more than 100 ms. A fast reaction, such as swerving to avoid a car crash, takes around 200 ms. By about half
10270-419: The coefficient as Coefficient alpha and included an additional derivation. Coefficient alpha had been used implicitly in previous studies, but his interpretation was thought to be more intuitively attractive relative to previous studies and it became quite popular. To use Cronbach's alpha as a reliability coefficient, the following conditions must be met: Cronbach's alpha is calculated by taking
10400-494: The combined dentate gyrus / CA3 , CA1 , and subiculum . Temporal resolution is the smallest time period of neural activity reliably separated out by fMRI. One element deciding this is the sampling time, the TR. Below a TR of 1 or 2 seconds, however, scanning just generates sharper hemodynamic response (HR) curves, without adding much additional information (e.g. beyond what is alternatively achieved by mathematically interpolating
10530-420: The composition of the air breathed by rats, and scanned them while monitoring brain activity with EEG. The first attempt to detect the regional brain activity using MRI was performed by Belliveau and colleagues at Harvard University using the contrast agent Magnevist, a paramagnetic substance remaining in the bloodstream after intravenous injection. However, this method is not popular in human fMRI, because of
10660-517: The conclusions of existing studies are as follows. Existing studies are practically unanimous in that they oppose the widespread practice of using ρ T {\displaystyle \rho _{T}} unconditionally for all data. However, different opinions are given on which reliability coefficient should be used instead of ρ T {\displaystyle \rho _{T}} . Different reliability coefficients ranked first in each simulation study comparing
10790-423: The content to be measured. However, a strategy of repeatedly measuring essentially the same question in different ways is often used solely to increase reliability. When the other conditions are equal, reliability increases as the number of items increases. However, the increase in the number of items hinders the efficiency of measurements. Despite the costs associated with increasing reliability discussed above,
10920-413: The current in the fMRI detector, producing thermal noise. Thermal noise rises with the temperature. It also depends on the range of frequencies detected by the receiver coil and its electrical resistance. It affects all voxels similarly, independent of anatomy. System noise is from the imaging hardware. One form is scanner drift, caused by the superconducting magnet's field drifting over time. Another form
11050-472: The curve gaps at a lower TR). Temporal resolution can be improved by staggering stimulus presentation across trials. If one-third of data trials are sampled normally, one-third at 1 s, 4 s, 7 s and so on, and the last third at 2 s, 5 s and 8 s, the combined data provide a resolution of 1 s, though with only one-third as many total events. The time resolution needed depends on brain processing time for various events. An example of
11180-405: The equations, with the number equal to the number of variables, and solve them. But, when these solutions are plugged into the left-out equations, there will be a mismatch between the right and left sides, the error. The GLM model attempts to find the scaling weights that minimize the sum of the squares of the error. This method is provably optimal if the error were distributed as a bell curve, and if
11310-460: The estimates with just a few mouse clicks. SEM software such as AMOS, LISREL , and MPLUS does not have a function to calculate SEM-based reliability coefficients. Users need to calculate the result by inputting it to the formula. To avoid this inconvenience and possible error, even studies reporting the use of SEM rely on ρ T {\displaystyle \rho _{T}} instead of SEM-based reliability coefficients. There are
11440-468: The existence and properties of the default mode network , a functionally connected neural network of apparent resting brain states . fMRI is used in research, and to a lesser extent, in clinical work. It can complement other measures of brain physiology such as electroencephalography (EEG), and near-infrared spectroscopy (NIRS). Newer methods which improve both spatial and time resolution are being researched, and these largely use biomarkers other than
11570-435: The extent that the behavior is linear, the time course of the BOLD response to an arbitrary stimulus can be modeled by convolution of that stimulus with the impulse BOLD response. Accurate time course modeling is important in estimating the BOLD response magnitude. This strong assumption was first studied in 1996 by Boynton and colleagues, who checked the effects on the primary visual cortex of patterns flickering 8 times
11700-472: The field were uniform, the differences between the two images also would be uniform. Note these are not true preprocessing techniques since they are independent of the study itself. Bias field estimation is a real preprocessing technique using mathematical models of the noise from distortion, such as Markov random fields and expectation maximization algorithms, to correct for distortion. In general, fMRI studies acquire both many functional images with fMRI and
11830-547: The following formula: where: By definition, reliability cannot be less than zero and cannot be greater than one. Many textbooks mistakenly equate ρ T {\displaystyle \rho _{T}} with reliability and give an inaccurate explanation of its range. ρ T {\displaystyle \rho _{T}} can be less than reliability when applied to data that are not essentially tau-equivalent. Suppose that X 2 {\displaystyle X_{2}} copied
11960-401: The functional image to the structural one. This is done with a coregistration algorithm that works similar to the motion-correction one, except that here the resolutions are different, and the intensity values cannot be directly compared since the generating signal is different. Typical MRI studies scan a few different subjects. To integrate the results across subjects, one possibility is to use
12090-575: The human visual cortex . The Harvard team thereby showed that both blood flow and blood volume increased locally in activity neural tissue. Ogawa and Ugurbil conducted a similar study using a higher magnetic field (4.0 T) in Ugurbil's laboratory at the University of Minnesota, generating higher resolution images that showed activity largely following the gray matter of the brain, as would be expected; in addition, they showed that fMRI signal depended on
12220-628: The inaccurate explanation of Cronbach (1951) that high ρ T {\displaystyle \rho _{T}} values show homogeneity between the items. Homogeneity is a term that is rarely used in modern literature, and related studies interpret the term as referring to uni-dimensionality. Several studies have provided proofs or counterexamples that high ρ T {\displaystyle \rho _{T}} values do not indicate uni-dimensionality. See counterexamples below. ρ T = 0.72 {\displaystyle \rho _{T}=0.72} in
12350-401: The inconvenience of the contrast agent injection, and because the agent stays in the blood only for a short time. Three studies in 1992 were the first to explore using the BOLD contrast in humans. Kenneth Kwong and colleagues, using both gradient-echo and inversion recovery echo-planar imaging (EPI) sequence at a magnetic field strength of 1.5 T published studies showing clear activation of
12480-450: The large veins needs to be suppressed, since it does not correspond to the area where the neural activity is. This can be achieved either by using strong static magnetic fields or by using spin-echo pulse sequences. With these, fMRI can examine a spatial range from millimeters to centimeters, and can hence identify Brodmann areas (centimeters), subcortical nuclei such as the caudate , putamen and thalamus, and hippocampal subfields such as
12610-440: The lateral frontal and lateral parietal lobes, it seems that incoming flow is less than consumption. This affects BOLD sensitivity. Hemoglobin differs in how it responds to magnetic fields, depending on whether it has a bound oxygen molecule. The dHb molecule is more attracted to magnetic fields. Hence, it distorts the surrounding magnetic field induced by an MRI scanner, causing the nuclei there to lose magnetization faster via
12740-597: The latter are “determined by psychosocial factors rather than by biological ones” (p.177). Rodway, Gillies and Schepman (2006) used a novel long-term change detection task to determine whether participants with low and high vividness scores on the VVIQ2 showed any performance differences. Rodway et al. (2006) found that high vividness participants were significantly more accurate at detecting salient changes to pictures compared to low vividness participants. This replicated an earlier study by Gur and Hilgard (1975). An unresolved issue about image vividness ratings concerns whether
12870-485: The left posterior quadrant of the cortex, but enhanced alpha power during motor imagery. Amedi, Malach and Pascual-Leone (2005) predicted that VVIQ scores might be correlated with the degree of deactivation of the auditory cortex in individual subjects in functional magnetic resonance imaging (fMRI). These investigators found a significant positive correlation between the magnitude of A1 deactivation (negative blood-oxygen-level-dependent -BOLD- signal in auditory cortex) and
13000-421: The limit case. But if the presumed spatial extent of activation does not match the filter, signal is reduced. One common approach to analysing fMRI data is to consider each voxel separately within the framework of the general linear model . The model assumes, at every time point, that the hemodynamic response (HR) is equal to the scaled and summed version of the events active at that point. A researcher creates
13130-415: The magnetic field. The nonuniformities are often near brain sinuses such as the ear and plugging the cavity for long periods can be discomfiting. The scanning process acquires the MR signal in k-space, in which overlapping spatial frequencies (that is repeated edges in the sample's volume) are each represented with lines. Transforming this into voxels introduces some loss and distortions. Physiological noise
13260-494: The magnetic property of the blood, making it interfere less with the magnetization and its eventual decay induced by the MRI process. The cerebral blood flow (CBF) corresponds to the consumed glucose differently in different brain regions. Initial results show there is more inflow than consumption of glucose in regions such as the amygdala , basal ganglia , thalamus and cingulate cortex , all of which are recruited for fast responses. In regions that are more deliberative, such as
13390-460: The main contributor to total noise. Even with the best experimental design, it is not possible to control and constrain all other background stimuli impinging on a subject—scanner noise, random thoughts, physical sensations, and the like. These produce neural activity independent of the experimental manipulation. These are not amenable to mathematical modeling and have to be controlled by the study design. A person's strategies to respond or react to
13520-464: The most commonly used is ρ C {\displaystyle \rho _{C}} , also known as composite or congeneric reliability . General-purpose statistical software such as SPSS and SAS include a function to calculate ρ T {\displaystyle \rho _{T}} . Users who don't know the formula ρ T {\displaystyle \rho _{T}} have no problem in obtaining
13650-400: The neurons under a voxel move and hence its timecourse now represents largely that of some other voxel in the past. Hence the timecourse curve is effectively cut and pasted from one voxel to another. Motion correction tries different ways of undoing this to see which undoing of the cut-and-paste produces the smoothest timecourse for all voxels. The undoing is by applying a rigid-body transform to
13780-446: The number of voxels per slice and the number of slices. This can lead both to discomfort for the subject inside the scanner and to loss of the magnetization signal. A voxel typically contains a few million neurons and tens of billions of synapses , with the actual number depending on voxel size and the area of the brain being imaged. The vascular arterial system supplying fresh blood branches into smaller and smaller vessels as it enters
13910-408: The only operation allowed on the individual responses before they are combined (added together) is a separate scaling of each. Since scaling is just multiplication by a constant number, this means an event that evokes, say, twice the neural response as another, can be modeled as the first event presented twice simultaneously. The HR for the doubled-event is then just double that of the single event. To
14040-426: The original instrument as well as Mosso's reports by Stefano Sandrone and colleagues. Angelo Mosso investigated several critical variables that are still relevant in modern neuroimaging such as the ' signal-to-noise ratio ', the appropriate choice of the experimental paradigm and the need for the simultaneous recording of differing physiological parameters . Mosso's manuscripts do not provide direct evidence that
14170-419: The participants’ memories over 1- or 4-second delays. In healthy volunteers, there was no evidence of an association between the vividness of visual imagery and short term memory. However, significant positive correlations occurred between visual imagery and the volumes of the hippocampus and primary visual cortex. The figure shows VVIQ correlations with Bilateral Hippocampal Volume, Amygdala Volume, Volume of
14300-415: The particular range of interest. Smoothing, or spatial filtering, is the idea of averaging the intensities of nearby voxels to produce a smooth spatial map of intensity change across the brain or region of interest. The averaging is often done by convolution with a Gaussian filter , which, at every spatial point, weights neighboring voxels by their distance, with the weights falling exponentially following
14430-443: The periodic waves not of interest to us from the power spectrum, and then summing the waves back again, using the inverse Fourier transform to create a new timecourse for the voxel. A high-pass filter removes the lower frequencies, and the lowest frequency that can be identified with this technique is the reciprocal of twice the TR. A low-pass filter removes the higher frequencies, while a band-pass filter removes all frequencies except
14560-434: The primary motor cortex, a brain area at the last stage of the circuitry controlling voluntary movements. The magnetic fields, pulse sequences and procedures and techniques used by these early studies are still used in current-day fMRI studies. But today researchers typically collect data from more slices (using stronger magnetic gradients), and preprocess and analyze data using statistical techniques. The brain does not store
14690-463: The proportion of oxygen the animals breathed. As this proportion fell, a map of blood flow in the brain was seen in the MRI. They verified this by placing test tubes with oxygenated or deoxygenated blood and creating separate images. They also showed that gradient-echo images, which depend on a form of loss of magnetization called T 2 decay, produced the best images. To show these blood flow changes were related to functional brain activity, they changed
14820-643: The ratings are measures of a “trait”, a “state” or a mixture of the two. An updated meta analysis of the validity of the VVIQ by Runge, Cheung and D’Angiulli (2017) compared two main formats used to measure imagery vividness: trial-by-trial vividness ratings (VRs) and the Vividness of Visual Imagery Questionnaire (VVIQ). The associations between the vividness scores obtained using these two formats and all existing behavioural, cognitive and neuroscientific measures were computed. Significantly larger effect sizes were found for VR than for VVIQ, which suggest that VRs provide
14950-525: The reliability literature, but its meaning is not clearly defined. The term is sometimes used to refer to a certain kind of reliability (e.g., internal consistency reliability), but it is unclear exactly which reliability coefficients are included here, in addition to ρ T {\displaystyle \rho _{T}} . Cronbach (1951) used the term in several senses without an explicit definition. Cho and Kim (2015) showed that ρ T {\displaystyle \rho _{T}}
15080-449: The same way, and found they did. But they also found deviations from the linear model at time intervals less than 2 seconds. A source of nonlinearity in the fMRI response is from the refractory period, where brain activity from a presented stimulus suppresses further activity on a subsequent, similar, stimulus. As stimuli become shorter, the refractory period becomes more noticeable. The refractory period does not change with age, nor do
15210-422: The same. This is expected to be due to increased efficiency in performing the task. The BOLD response across brain regions cannot be compared directly even for the same task, since the density of neurons and the blood-supply characteristics are not constant across the brain. However, the BOLD response can often be compared across subjects for the same brain region and the same task. More recent characterization of
15340-411: The scanning one. The scanner platform generates a 3 D volume of the subject's head every TR. This consists of an array of voxel intensity values, one value per voxel in the scan. The voxels are arranged one after the other, unfolding the three-dimensional structure into a single line. Several such volumes from a session are joined to form a 4 D volume corresponding to a run, for the time period
15470-401: The scanning session. Since fMRI is acquired in slices, after movement, a voxel continues to refer to the same absolute location in space while the neurons underneath it would have changed. Another source of physiological noise is the change in the rate of blood flow, blood volume, and use of oxygen over time. This last component contributes to two-thirds of physiological noise, which, in turn, is
15600-450: The subject stayed in the scanner without adjusting head position. This 4 D volume is the starting point for analysis. The first part of that analysis is preprocessing. The first step in preprocessing is conventionally slice timing correction. The MR scanner acquires different slices within a single brain volume at different times, and hence the slices represent brain activity at different timepoints. Since this complicates later analysis,
15730-409: The subjective vividness of visual imagery (Spearman r = 0.73, p < 0.05). In a related study, Xu Cui, Cameron Jeter, Dongni Yang, Read Montague and David Eagleman (2007) also observed that reported vividness is correlated with an objective measure of brain activity: the early visual cortex activity relative to the whole brain activity measured by fMRI. These results show that individual differences in
15860-460: The temporal sensitivity, that is how accurately we can measure when neurons are active, in BOLD fMRI. The basic time resolution parameter (sampling time) is designated TR; the TR dictates how often a particular brain slice is excited and allowed to lose its magnetization. TRs could vary from the very short (500 ms) to the very long (3 s). For fMRI specifically, the hemodynamic response lasts over 10 seconds, rising multiplicatively (that is, as
15990-468: The uni-dimensional data above. ρ T = 0.72 {\displaystyle \rho _{T}=0.72} in the multidimensional data above. The above data have ρ T = 0.9692 {\displaystyle \rho _{T}=0.9692} , but are multidimensional. The above data have ρ T = 0.4 {\displaystyle \rho _{T}=0.4} , but are uni-dimensional. Uni-dimensionality
16120-505: The use of injections, surgery, the ingestion of substances, or exposure to ionizing radiation. This measure is frequently corrupted by noise from various sources; hence, statistical procedures are used to extract the underlying signal. The resulting brain activation can be graphically represented by color-coding the strength of activation across the brain or the specific region studied. The technique can localize activity to within millimeters but, using standard techniques, no better than within
16250-862: The value of X 1 {\displaystyle X_{1}} as it is, and X 3 {\displaystyle X_{3}} copied by multiplying the value of X 1 {\displaystyle X_{1}} by -1. The covariance matrix between items is as follows, ρ T = − 3 {\displaystyle \rho _{T}=-3} . Negative ρ T {\displaystyle \rho _{T}} can occur for reasons such as negative discrimination or mistakes in processing reversely scored items. Unlike ρ T {\displaystyle \rho _{T}} , SEM-based reliability coefficients (e.g., ρ C {\displaystyle \rho _{C}} ) are always greater than or equal to zero. This anomaly
16380-416: The value of X 1 {\displaystyle X_{1}} as it is, and X 3 {\displaystyle X_{3}} copied by multiplying the value of X 1 {\displaystyle X_{1}} by two. The covariance matrix between items is as follows, ρ T = 0.9375 {\displaystyle \rho _{T}=0.9375} . For
16510-468: The visual imagery vividness are quantifiable even in the absence of subjective report. In a meta analysis, Runge, Cheung and D’Angiulli (2017) observed that both VR and VVIQ “are more strongly associated with the neural, than the cognitive and behavioural correlates of imagery. If one establishes neuroscience measures as the criterion variable, then self-reports of vividness show higher construct validity than behavioural/cognitive measures of imagery”. In
16640-422: The volume, by shifting and rotating the whole volume data to account for motion. The transformed volume is compared statistically to the volume at the first timepoint to see how well they match, using a cost function such as correlation or mutual information . The transformation that gives the minimal cost function is chosen as the model for head motion. Since the head can move in a vastly varied number of ways, it
16770-456: The whole sample be divided into two and cross-validated. Nunnally's book is often mentioned as the primary source for determining the appropriate level of dependability coefficients. However, his proposals contradict his aims as he suggests that different criteria should be used depending on the goal or stage of the investigation. Regardless of the type of study, whether it is exploratory research, applied research, or scale development research,
16900-580: Was first pointed out by Cronbach (1943) to criticize ρ T {\displaystyle \rho _{T}} , but Cronbach (1951) did not comment on this problem in his article that otherwise discussed potentially problematic issues related ρ T {\displaystyle \rho _{T}} . This anomaly also originates from the fact that ρ T {\displaystyle \rho _{T}} underestimates reliability. Suppose that X 2 {\displaystyle X_{2}} copied
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