Science topic

Brain Mapping - Science topic

Imaging techniques used to locate sites of brain functions and physiological activity.
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I am interested in a mouse model of a controlled cortical impact that would mimic sports concussions by creating a mild TBI without any incisions, but I'd like to try and create specific coordinates and target specific brain areas. I figured I could use the eye as a landmark to find Bregma, but I can't seem to find an atlas for the head like you'd find for the brain or skull. Is there a reference for the average mouse skull size with measurements like the mouse brain atlas, or another effective landmark for locating Bregma without creating an incision?
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Thanks for your responses, Louis-Charles Béland and Demos Kynigopoulos. You are both correct in assuming I meant finding Bregma without making an incision. I clarified the wording of my question to reflect that, so hopefully it makes a little more sense. Those are both great suggestions and I'll take those into consideration as potential options.
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Hello everyone,
could anyone point me to papers comparing different masks/atlases for a particular brain region? I couldn't seem to find anything and I'm interested in different methods used for the comparison. The paper doesn't need to be specifically dedicated to the comparison, even if it is mentioned somewhere in the discussion it would be helpful. Thank you in advance!
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The iconic ‘homunculus’ diagram, which shows how the brain controls individual body parts, has been overhauled to include complex movements. Since the 1930s, the diagram has been used to show a brain region called the primary motor cortex and how it dedicates much more space to some body parts, such as the hands and mouth, than others. Now, hours of magnetic resonance imaging have revealed three interconnected areas that aren’t specific to any one body part. Instead, they connect to parts of the brain that are responsible for critical thinking, maintaining the body’s physiology and planning actions...
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Does anyone know how to mark the specific brain region in immunofluorescence brain slides of mice via mice brain map? the Allen brain atlas can't precisely describe the information of individual slides, and the black background of immunofluorescence brain slides seems disharmony when combined with the white background of the map from the Allen brain atlas, if there are a proper way to improve above problems, I would appreciate it if anyone can response to this question.
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Use Paxinos Atlas. You may find it useful.
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Hi,
I have EEG signals and it has a few channels. Now, I want to plot the data in order to get the Brain Activity Mapping. It will be very helpful if anyone can give some idea to do it.
Thanks for your time and consideration.
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David Marcelo Bermeo Barros Thank you for your suggestion.
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How nanowire Field Effect Transistor sensors enable highly sensitive detection of biomolecule? Can we use use nanowire electronic devices for cell network mapping and brain mapping?
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yes, I think comparable size of the transistor.
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Looking for information on Clinical Neuropsychology Postdoctoral positions that focuses on Pre/ Intraoperative/ Post-Operative Brain Mapping and Cortical Stimulation in the United States / France/ Europe/ Australia.
Also looking for information on Centers/ Hospitals and names of Clinical Neuropsychologist who routinely perform these protocols (Brain Mapping and Cortical Stimulation) for Awake Brain Surgeries in US, France/ Europe and Australia.
Any information on any of the above would be greatly appreciated.
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You may wish to contact David Loring PhD, ABPP, FAAN at Emory University Brain Health Center. He would likely be aware of such fellowships. http://neurology.emory.edu/faculty/neuropsychology/loring_david.html
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What are temporal limits in determining brain metastability? In other words, how long does the minimum length of the scan segment using fMRI have to be for the result to be of any value?
I'm particularly interested in measuring metastability during decision making. If I have two different decision conditions, which are shown alternately in the fMRI paradigm (so let's say condition A and B, and paradigm look like it: ABABABAB....), will "slicing" the data and combining them later produce reliable results in the context of metastability estimation (so I could calculate metastability for A and B condition separately)?
I came across a publication where a similar operation was performed (Alderson, TH, Bokde, AL, Kelso, JS, Maguire, L. and Coyle, D., 2020. Metastable neural dynamics underlies cognitive performance across multiple behavioral paradigms. Human brain mapping, 41 ( 12), pp. 3212-3234.). However, it concerned cutting out fixation elements between trials and joining whole blocks. I, on the other hand, want to cut and join the trials, then compare the level of metastability between the two conditions. Is it possible, or not really good idea?
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I hope this article will help you regarding metastability.
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I want to start research regarding Brain dominance and some concepts of positive psychology. That is why I ask whether or not it is a research area that is relevant now. If not could you please suggest what is a better fit to research on?
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There are several cognitive challenges even a normal person can face (ref. Barbara Arrowsmith, "the woman who changed her brain"). How frequently are brain scans being used in common domains (not research-related) to detect these?
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I need to look for brain rat regions activation after a certain stimulus made to live animals. The marker to be looking for needs to be maintained fro long periods because the stimulus that I need to give it promotes alteration with days of exposure. I don't have any imaging technique available.
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thank you Mark. Yes, I have access to ex-vivo samples and I could do it by histological examination but that it will be very time consuming because I would like to have a whole brain assessment since I don't have idea which regions will be activated by my stimulus...
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Hello,
i'm searching for free software which is able to visualize eeg-data in realtime in form of heatmaps (qeeg / brain mapping). Do you know any by change?
Thank you very much in advance
Johannes
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Dear Johannes Pfeifer,
Free software related to qualitative EEG / brain mapping.
  1. EEGNET: is an open-source tool or software package running under MATLAB and allowing for analysis and visualization of functional brain networks from M/EEG recordings and can be freely downloaded from this webpage: https://sites.google.com/site/eegnetworks/.
  2. Brainstorm: is a collaborative, open-source application dedicated to the analysis of brain recordings: MEG, EEG, fNIRS, ECoG, depth electrodes and animal invasive neurophysiology.
  3. Freesurfer: is open-source software widely used by the Neuroimaging community.
I hope the information will help you.
With Best Wishes,
Samir G. Pandya
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I am interested in scaling my coordinates for stereotaxic injections by measuring the distance from bregma to lamda in each of my mice and then scaling this to the "typical" value used in mouse brain atlases. This scaling factor should reduce some error that results from differences in mouse brain sizes. I would be most interested in knowing the bregma-lamda distance in the "average" or "typical" mouse used to map brain coordinates in the Paxinos Mouse Brain Atlas. Does anyone know this value? I see other people have used this method successfully in rats, where the Bregma-Lamda distance is 9mm.
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Interesting discussion that I just found!
When I was performing stereotaxic surgeries on my rats either for cannulation or for finding the exact coordination to insert my recording and stimulation electrodes, I came across the intricate difference of lambda and so called true lambda.
As I had been told that no significant difference would it make to choose either, I was dubious enough to do my own trial and error. I removed the brains of those that I performed surgery with experimental lambda, dissected 50 um coronal sections through the region of cannulae and electrode insertion, and compared them with those that I did surgery with true lambda under a microscope. Even though the difference was insignificant for large areas like hippocampal formation, it was remarkable for small nuclei like the VTA or NAc (core).
Unsurprisingly, the anatomical difference that is something around 0.9 um-1 mm on the skull surface, is considered significant in terms of brain size and scale ratio of rat brain.
I think that considering lambda or true lambda is the matter of the ratio or scale of the target region size to the whole brain. But to be meticulous the middle point of the interaural line or the imaginary midline of the lamdoid suture is a safe and sure point to estimate the distance to bregma and lay your calculations for the rest of the procedure.
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I want to look at all the various brain regions and also the ascending and descending tracts from the brain, and make sense of the information flow.
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Brain Explorer 2, from the Allen Institute. Allows you to navigate a 3D mouse brain, as well as apply cutting planes in three orthogonal axes. Individual brain regions can be turned on/off, colored, made transparent. Different additional atlas types can be displayed as well. I don't know whether they have other species available besides mouse?
Unfortunately, as far as I know it still does not let you identify stereotaxic coordinates.
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Dear Colleagues,
Are you familiar with any studies on the amount of language switching (code switching, language mixing , or both) on the organization of languages in the brain?
Thank you!
Monika
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And here are more titles:
Schwartz, M. (1994). Ictal language shift in a polyglot. Journal of Neurology, Neurosurgery and Psychiatry, 57, 121.
Javier, R.A. & Marcos, L.R. (1989). The role of stress on the language-independence and code-switching phenomena. Journal of Psycholinguistic Research, 18(5), 449-472
Green, D.W. (1986). Control, activation and resource: A framework and a model for the control of speech in bilinguals. Brain and Language, 27, 210-223
and of course
Albert, M.L. & Obler, L.K. (1978). The Bilingual Brain: Neuropsychological and neurolinguistic aspects of bilingualism. New York: Academic Press
There are so many other, just let me know if you need more. Good luck!
Christina
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What is the best book on brain mapping?
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it's hard to know exactly how to answer this because we don't know your level of expertise and what exactly you mean by "brain mapping," which is a wide-ranging field. but, assuming you're doing some kind of fMRI, i'd recommend the 3rd edition of Huettel et al's "Functional Magnetic Resonance Imaging" textbook, as well as Russell Poldrack's new "The New Mind Readers: What Neuroimaging Can and Cannot Reveal about Our Thoughts"
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Dear Colleagues,
Are cognitive control and cognitive effort the same thing?
I am confused. In the neuroscientific literature on second language learning, the neural organization of cognitive control and cognitive effort seems to overlap (e.g., the anterior cingulate, dorsolateral prefrontal cortex, inferior parietal regions). At the same time, I have come across some results that make me think that cognitive control and cognitive effort are not the same thing.
For instance, I have found fMRI studies that reported increased "cognitive effort" (and therefore more widespread fMRI activation) in less proficient speakers of a second language (e.g., Abutalebi et al. 2018). At the same time, several ERP studies have suggested more "cognitive/language control" in highly proficient second language users. For example, Fernandez et al. (2013) have shown that higher second language proficiency was associated with a greater mean N2 amplitude (greater inhibition) on an executive function test. Another example: Rossi et al (2018) concluded that individuals with high second language proficiency require more cognitive/language control for their first language, even before they speak their second language.
I will greatly appreciate your help.
With my best wishes,
Monika
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According to my knowledge , we use the difference between T1 and T2 in MRI to make contrast . but I have no idea about The T2* time and what is the usage of that .
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Let me add some more technical details to Samson Nivins' answer:
Both T2 and T2* describe the transverse relaxation (i.e., the decay of the MRI signal induced by the precessing transverse nuclear magnetization). T2 describes the decay observed in spin-echo (or turbo-spin-echo, fast-spin-echo, RARE, HASTE, SE-EPI, ...) measurements. T2* describes the decay in gradient-echo (or FLASH, SPGR, FID-EPI, ...) measurements.
Technically, T2* includes additional (static) effects due to macroscopic and microscopic magnetic field inhomogeneities (caused e.g. by blood) and is always shorter than (or at most equal to) T2.
Mathematically, this is expressed by 1/T2* = 1/T2 + 1/T2' (or, equivalently, T2* = (T2' + T2)/(T2 × T2')), where T2' describes the transverse relaxation only due to static magnetic field inhomogeneities.
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I would appreciate it if someone explains the basic physical principles underlying the differences in appearance (image content, and tissue differentiation) among T1, T2, and PD weighted images.
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This is a broad question that would require a detailed introduction to MRI for a full answer.
In short, different tissues are characterized by different proton densities (PD) and different relaxation time constants (T1 for the longitudinal relaxation, T2 for the transverse relaxation).
Depending on the MRI acquisition technique (pulse sequence) and the sequence parameters (such as repetition time TR, echo time TE, or inversion time TI), the resulting image can reflect one of the tissue parameters much stronger than the others. E.g., a T2-weighted image (with very long TR and TE in the range of T2) emphasizes differences in T2 (showing tissues with long T2 such as fluids much brighter than those with shorter T2). In a T1-weighted image (with very short TE and TR in the range of T1), differences in T2 are hardly visible, but tissues with long T1 appear darker than those with shorter T1.
For a conventional spin-echo sequence, this is described by the signal equation:
S(TE, TR; T1, T2) = S0 (1 – exp(–TR/T1)) exp(–TE/T2)
See also my answer to the following related question:
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I want to create separate masks for right and left hemispheres of the following regions:
ventro medial prefrontal ctx (vmPFC), dorso medial prefrontal ctx dmPFC), anterior middle cingulate ctx (mACC), posterior cingulate (PCC), precuneus (PC), inferior parietal lobule (IPL) and hippocampus (in parts if possble).
Any advice on which FSL atlas I could use greatly appreciated
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Hi Sean,
Sure, see attached. The readme file has the necessary info to create the ROIs. All the best!
-Ranga
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i search a mri images and the corresponding thermal images of the same level and of the same patient.
with regards.
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Are you referring to MR thermometry? If so, then the best way to achieve this is by acquiring dwi data. After calculating temperature for each voxel, register the T1w data to the dwi dataset. Note that MR thermometry is mostly used for CSF temperature, but there are algorithms to calculate tissue temperature as this is required for MRg-FUS (MR guided focused ultrasound).
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We learn every day more and more about the way humans work by examining maps of the brain, and which parts are involved with various activities.  There are a number of  discussions on RG right now in which the question of whether or how animals' thought and reasoned behavior arises. 
So who out there is involved in studies of animals' brains to try to determine answers to these sorts of questions?
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Here is a review article of Japanese brain-mapping projects using the common marmoset:
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Greetings everyone. I am just trying to figure out how  routinely intraoperative neuropsychological and brain mapping protocols are performed at highly specialised neurosurgical units/ centres . Please do feel free to share where were you trained  to competently carry out these advance protocols?  And what are the usual techniques/ protocols that you perform?
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Dear Vgneswaran,
At UCLA neo-surgical language mapping is pretty common. There are 2-3 pre-operative language fMRIs a week, 1-2 Wada tests a month, and about one intraopeartive language mapping a month. As far as I know, all patient undergo pre- and post-surgical evaluations.
As to brain mapping protocols, 3 lexico-semantic tasks are used in fMRI: object naming, auditory responsive naming, and reading. We use the Montreal protocol for the Wada test. The protocol consists of object naming, and following simple instructions (e.g., "Wiggle your toes"). The two tasks are used during the encoding phase for memory and language assessment. During the recovery phase, we use additional language tests: simple language comprehension tasks (e.g., "Does the stone sink in water?"), auditory responsive naming, repetition, and grammar tasks. During intraoperative mapping we typically use object naming, and less commonly reading, auditory responsive naming, and spontaneous speech. 
Together with my UCLA co-workers, I have been working on augmenting the three language mapping techniques with grammar production and comprehension tests. We got some interesting results. We hope to add those to standard language mapping in the near future.
I am not very familiar with protocols used at neuropsychological evaluations but I could contact you with neuropsychologists working at UCLA.
Hopefully this answers your question. Please let me know if I can be of any further assistance.
Best,
Monika
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Hi, we are currently working on the functional connectivity study where we would like to address the connections between thalamus and auditory cortex in patients and controls. What could be the most accurate tool for segmenting/masking of the thalamic nuclei? Does anyone has an experience with digital Morel atlas?
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I quote David Victor. You can use FIRST (which runs much faster than FreeSurfer) to segment your thalami. Once you have your results you can superimpose them on the Johansen-Berg's atlas to have an idea of where they are in terms of thalamic connectivity. You can also refer to the Morel's atlas (NeuroImage Volume 12, Issue 6, December 2000, Pages 601–616).
Fabrizio
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Hi everybody! 
I have been using VBM8 in SPM12 for a few months now for volumetric analysis of the human Hippocampus, between two different groups. I'm completely aware that depending of the kind of modulation you apply to your data (affine vs non-linear) the different results you get. But in terms of correctness I didn't expect such a huge difference. Using the prior one (affine) and literately following the VBM8 manual I achieve very strange results being quite contradictory in comparison to the last named procedure. The major set-up difference between those two is the affine vs the non-linear selection and using the head size as covariate only for the affine method.
I have been thinking the possibility that this huge difference could be due to my contrast matrix  being [-1 1 0 0 0] vs [-1 1 0 0] for the affine and non-linear method respectively. But it looks to be right for the two sample test as I have two groups and three covariates (age, head size (only for the affine) and HAMD.
I would appreciate if any of you could make this clear to me.
Thank you in advance!
Best regards; Cecilio. 
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Dear Cecilio,
As VBM8 Manual states: Affine+non-linear allows comparison of the absolute amount of tissue, while Non-linear only allows comparison of the absolute amount of tissue corrected for individual brain sizes. Do the two groups of subjects have significantly different average brain sizes? If so, the outcome measurement may differ 'hugely'.
Best,
Andy
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Does thinking from the left or right side of the brain have an effect on the electrical activity of the brain?
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I think what you are getting here Mohammed is consensus that the right and left brain model is too simplistic to capture thought, so probably it is not something you  should study.
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In fact, I am have a good struggling with coinjection of fluorogold &BDA in the same brain region. My protocol for this combination is quite similar to which L. Swanson reported in PNAS, 2010 (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2930585/), but with smaller injection current (+1-2 µA) and longer injection time (15-20 min). I can, however, get barely BDA labelled neurons or dendrites, but always very nice retrograde FG labelled cell bodies.
I almost always oberseve FG gets precipitated, especially up to first 5mm of glass pipette from its tip. I consider this might be a reason for a lack of BDA labeling in my case.
Any suggestions or comments? Thanks in advance!
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In my experience, the best choice for dissolving fluoro-gold is to use 0.1 M cacodylate buffer. This results in a crystalline solution without any trace of precipitates. By going this way you can inject FG either by iontophoresis or by pressure. This buffer also works for BDA. Just search PubMed for my earlier papers.
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I am desperatly searching for an app or tool or software solution to create a density plot in kinds of a heat map (see example). I want to depict frequencies of answers (better mappings) of patients in a graphical question (body scheme). These answers are provided on paper - thus there are two problems: an aquisitional (input) and a graphical (output).
My conception would be a tool which can import the picture pattern (body scheme). Thereafter for data aquisiton I want to click on (previously defined) area(s) where the patients put their cross(es) - For the output, the tool shall provide a dataset with the coordinates or areas and their frequencies depicted as color shades right over the picture pattern.
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I want to quantify gross brain morphology observations/deviations  in a chicken embryo model, so that I can run an ANOVA, instead of doing it qualitatively.
Thank you in advance for your help.
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Unfortunately those resources will be based on very old terminology; the nomenclature of chick brain structures was very thoroughly revised and brought into line with other vertebrate brains in 2002. The 2004 article they published gives you a pretty thorough overview and could be used to make a checklist:
Reiner A et al. (2004) Revised nomenclature for avian telencephalon and some related brainstem nuclei. J Comp Neurol 473:377-414.
Beyond that, the best contemporary reference is the atlas by Luis Puelles et al. (Puelles L, Martinez-de-la-Torre M, Paxinos G, Watson CR, Martinez S. The Chick Brain in Stereotaxic Coordinates. Academic Press; 2007) but that might be excessive for your needs. The gene expression database site http://www.echickatlas.org/ecap/home.html may be helpful too.
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For a computational model of the rat-hippocampus I would like to better understand how the projections from the entorhinal cortex to the hippocampus looks like. I think, data obtained with CLARITY-method would be the best for my needs. Does anybody have volumetric data of the rat hippocampus and adjacent regions that he could share with me?
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Sorry, but I don't get it. Where can I find the data?
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 - It would be interesting to know if a polyglot would have similar or entirely different perceptions, since what appear to be "nonsensical" letter strings in an idiom might be more familiar, from the visual standpoint, in another idiom - so that what appears to be nonsensical to, say, a native Portuguese speaking who was iliterate in German or French might suggest sounds or words to another who was literate in that idiom.
- From another standpoint, I wonder what makes a set of characteers familiar or nonsensicle. A native russian (not literate in other idioms) might perceive a string in latin characters as nonsensicle and even fail to integrate the perception of latin charachters, while the reverse would be the case for non-russian people. Someone who´s multilingual might have a different, more integrated perception of both characters sets. Even stronger effects would be observed as to Japanese / Chinese people, where the character sets are strongly visual, symbolic, and might be more associative. Would a chinese react similarly to a set of Japanese characters, and differently to a set of latin charachters? Would a Russian have similar reactions as to other similar ciryllic characters, in other baltic idioms?
- Could the "literacy area of the brain" be thus mapped?
- Just wondering...
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Hi Victor,
That once was a hot topic in neurolinguistics. There are number of discoveries about the specific parts in the brain that are related to language functions. The most important areas in the brain which are somehow related to language production and comprehension are including Broca's area, Wernicke's area, motor cortex and arcuate fasciculus. Therefore, yes, we can somehow draw a map!
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can anyone recommend some literature for me to learn the cognitive role of right IPL and right SFG?
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Go to neurosynth.org for its dynamic meta-analytic platform, and click on the "reverse inference" tab/button, to be able to click on a brain location coordinate with your cursor and get a read-out of all the hot key words of mental processes linked to that coordinate, among all the thousands of  papers searched by the platform's machine-reading algorithm.  This would provide another hint.
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I have a 64 gradient plus 5 B0s DTI dataset and need to remove some intermediate volumes (ie. volumes number 10, 23, 35, 55). In fact I have a software that requires all the B0s to be at the beginning of the study, and a dataset where the B0s are distributed through the acquisition. How can I do this? Can I use Matlab? Could you suggest me the correct procedure? Alternatively I need to move the same volumes so that they all end up at the beginning of the volumes sequence.
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I know of FSL and ExploreDTI. The former has been proposedabove and needs a Linux environment. The latter is a toolbox for matlab or standalone .exe file for Windows. In ExploreDTI, you can go to Plugins >> "Shuffle/select 3D volumes in 4D .nii files". Then specify the volumes to retain like 1:3 5:32 (to remove volume 4 and retain all until 32nd). You need to know in advance which number is your bad volume, but the software has tools for that if I remember correctly.
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Perhaps by using a box or sphere, centred around particular coordinates, or using anatomical features as boundaries?
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I have an MNI one. Feel free to email me and I can send it.
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SPM? MRIcron?
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3D slicer is also really good, but probably needs some time to get familiar with: