Maps Function
Maps Function - Related Videos
10:27
A Standardized Protocol for Functional Motor Mapping Using Navigated Transcranial Magnetic Stimulation
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2026
Here, we describe a standardized protocol for motor mapping using nTMS combined with diffusion tensor imaging (DTI)-based reconstruction of the corticospinal tract (CST). The protocol is reproducible, clinically feasible, and readily integrable into routine clinical workflows, providing a robust and valuable framework for motor pathway assessment, neuroplasticity research, and rehabilitation planning.
06:04
Functional Mapping with Simultaneous MEG and EEG
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Cited by 16 •
2010
We use magnetoencephalography (MEG) and electroencephalography (EEG) to map brain areas involved in the processing of simple sensory stimuli.
13:32
Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
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Cited by 134 •
2012
We present a method for collecting electrocorticographic signals for research purposes from humans who are undergoing invasive epilepsy monitoring. We show how to use the BCI2000 software platform for data collection, signal processing and stimulus presentation. Specifically, we demonstrate SIGFRIED, a BCI2000-based tool for real-time functional brain mapping.
11:03
Motor Maps
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California One principle of brain organization is the topographic mapping of information. Especially in sensory and motor cortices, adjacent regions of the brain tend to represent information from adjacent parts of the body, resulting in maps of the body expressed on the surface of the brain. The primary sensory and motor maps in the brain surround a prominent sulcus known as the central sulcus. The cortex...
10:09
Mapping the After-effects of Theta Burst Stimulation on the Human Auditory Cortex with Functional Imaging
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Cited by 13 •
2012
Auditory processing is the basis of speech and music-related processing. Transcranial Magnetic Stimulation (TMS) has been used successfully to study cognitive, sensory and motor systems but has rarely been applied to audition. Here we investigated TMS combined with functional Magnetic Resonance Imaging to understand the functional organization of auditory cortex.
FAQs
The operation produces a corresponding result for each input value, maintaining the relationship between the original collection and its transformed collection. This correspondence allows analysts to associate a processed gene identifier, measurement, sample value, or formatted record with the item that generated it, reducing ambiguity when interpreting results from larger biological datasets.
Applying the same specified procedure to every element reduces variation caused by manually repeating an operation. Each value receives the same transformation, whether the collection contains measurements, identifiers, or records. In biological analysis, this consistency supports comparable results across elements and makes the resulting workflow easier to understand and reproduce.
Instead of expressing separate instructions for each value, the analyst describes the procedure once and applies it across the collection. This reduces repetitive code while preserving the input-to-output relationships. The shorter structure can make a biological data pipeline easier to read, test, and adapt when the research question or transformation changes.
First, identify the collection that requires transformation, such as gene identifiers, measurements, samples, or records. Next, specify the function that should process one element. Applying the operation generates a new collection of corresponding results, which can then support later analysis or additional processing within the bioinformatics workflow.
It is useful when the same transformation must be applied across many gene identifiers or measurement values. For example, a workflow can process each identifier or calculate a result for each measurement using one specified procedure. The resulting collection retains correspondence with the inputs, helping organize data transformations in bioinformatics analysis.
A clearly specified procedure applied consistently across a collection creates a transparent transformation step within an analytical pipeline. Because the operation avoids repetitive instructions and preserves input-output relationships, researchers can more readily follow, test, and modify the workflow. This supports reproducibility when datasets, processing requirements, or biological research questions change.