Cortical Processing
Cortical Processing - Related Videos
09:38
Quantitative Assessment of Cortical Auditory-tactile Processing in Children with Disabilities
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Cited by 8 •
2014
Objective and easy measurement of sensory processing is extremely difficult in nonverbal or vulnerable pediatric patients. We developed a new methodology to quantitatively assess infants and children's cortical processing of light touch, speech sounds, and the multisensory processing of the 2 stimuli, without requiring active subject participation or causing discomfort in vulnerable patients.
09:57
How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
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Cited by 168 •
2012
Measuring gyrification (cortical folding) at any age represents a window into early brain development. Hence, we previously developed an algorithm to measure local gyrification at thousands of points over the hemisphere1. In this paper, we detail the computation of this local gyrification index.
07:52
Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents
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Cited by 1 •
2025
Here, we present two protocols for high-density micro-electrocorticography (µEcoG) recording in rats and mice, including surgical, implantation, and recording methods. µECoG recordings are performed in combination with either laminar polytrode recording in the rat auditory cortex or with optogenetic manipulation of neural activity in the mouse somatosensory cortex.
11:25
Isolation and Culture of Mouse Cortical Astrocytes
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Cited by 460 •
2013
Astrocytes have been recognized to be versatile cells participating in fundamental biological processes that are essential for normal brain development and function, and central nervous system repair. Here we present a rapid procedure to obtain pure mouse astrocyte cultures to study the biology of this major class of central nervous system cells.
08:39
Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images
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Cited by 24 •
2015
A high resolution ex vivo 7T MR imaging protocol is presented, to perform MR-guided histopathological validation of microvascular pathology in post-mortem human brain tissue. Furthermore, guidelines are provided for the assessment of cortical microinfarcts on in vivo 7T as well as 3T MR images.
FAQs
Feedforward pathways carry information through cortical layers to support progressively refined responses, while feedback pathways send signals back to influence earlier stages of processing. Their interaction allows cortical networks to adjust activity rather than treating incoming signals as isolated inputs. This layered exchange helps explain how perception can be modified by attention, memory, and contextual information.
Synaptic integration combines activity from interconnected neurons, allowing cortical networks to incorporate multiple sources of information at once. Attention can prioritize selected signals, while memory and context influence how those signals are interpreted. These interactions help the cortex produce responses that reflect more than immediate sensory input, supporting recognition, learning, decision-making, and other cognitive functions.
Incoming sensory signals are integrated and transformed to support perception, including the recognition of objects. Voluntary action requires cortical activity to contribute to movement control, using integrated information to guide behavior. The same broad network principles therefore support both interpreting the environment and producing purposeful responses, while language and decisions illustrate additional forms of cortical transformation.
The outcome depends on how interconnected neurons integrate signals and how feedforward and feedback activity is organized across cortical layers. Attention, memory, and context can alter the contribution of incoming information, while changes in neural activity or connectivity may be associated with differences in behavior. These factors are important when studying normal function and neurological disorders.
Researchers can examine cortical processing with neuroimaging, electrophysiology, and computational modeling. These approaches provide complementary ways to study neural activity and connectivity, then relate those patterns to behavior. Using such evidence, investigators can examine how cortical networks support perception, cognition, learning, language, decisions, and movement without relying on behavior alone.
A general workflow begins by selecting an experimental approach suited to examining neural activity, connectivity, or both. Researchers then relate observed cortical patterns to behavioral functions and use computational modeling to help characterize the underlying network processes. This relationship-focused strategy can clarify how changes in cortical organization correspond to differences in perception, cognition, or action.
Studying cortical processing reveals how altered neural activity or connectivity relates to behavioral changes. Because cortical networks contribute to object recognition, language, decision-making, and movement, examining these relationships can help identify functional disturbances across several domains. The resulting knowledge may also inform potential therapeutic strategies by connecting network-level changes with observable behavior.