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What Is A Brain Slice? Everything To Know About A Brain Slice

Introduction

Today, we all — biologists or not — have an idea about how the brain functions. The advanced techniques and lab procedures have made the knowledge accessible and unlocked many mysteries related to brain functioning.

One such procedure is brain slicing. It’s a process in which parts of the brain are divided using advanced technologies or microtomes in desired plane or orientation.

The process helps scientists to understand the underlying pathophysiological conditions of the brain, its development, and its responses to several stimuli. By using a brain slice in controlled physiological conditions, you can study a synapse or neural circuit in isolation from the rest of the brain.[1]

Furthermore, as the brain slice retains the brain’s 3D structural integrity, one can examine the electrophysiological consequences of drug toxicity.[2]

During the process, the brain is sliced using a tissue slicer. Then, to stimulate the particular brain area and record data, the slice is immersed in artificial cerebrospinal fluid (aCSF).[2]

This article is an exposé on brain slicing, including the directions and planes of slicing, equipment used in the procedure, and the applications of the technique.

Directions and Planes of Brain Slicing

Before moving to the directions and orientation of brain slice preparation, have a look at some directional terms. These directions also represent the possible views of different parts of the brain during studies.[3]

  • Lateral: Side view
  • Medial: Towards the midline (as in the sagittal section—see the next paragraph)
  • Dorsal: Top view or looking from the top
  • Ventral: Looking from down
  • Rostral: Towards the nose/beak. Here, the part above the midbrain is known as anterior and the one below the midbrain is called superior.[4]
  • Caudal: It means towards the tail. Here, the part above the midbrain is considered posterior, and below the midbrain is called inferior.[4]
A schematic diagram of different regions of the brain and their scientific terms

Figure: A schematic diagram of different regions of the brain and their scientific terms.[3]

Furthermore, a 3-dimensional brain has three planes, which also represent the ways a brain can be sectioned for experimental procedures:

  • Horizontal plane: A horizontal slice of the brain separates the top part of the brain from the bottom.[3]
  • Coronal plane: This divides the front section of the brain from the back section.
  • Sagittal plane: Here, the brain is divided into left and right parts. However, the midsagittal plane cuts the brain precisely in the middle, creating an equal division between the right and left hemispheres of the brain.[3]

Figure: An illustrative diagram of different planes of the brain.[5]

Equipment Used to Prepare Brain Slice

Brain slice preparation is a high-throughput procedure that requires expertise and knowledge of the equipment, tools, and chemicals to precisely perform the procedure based on experiential requirements.[6]

The Compresstome VF-200 slicing machine is the commonly used slicer in a range of life sciences labs to prepare brain slices including:[6]

The machine uses agarose embedding of the tissue and slight compression to make fine and uniform tissue slices.

Other than the Compresstome VF-200 slicing machine, you also need the following equipment and tools to perform the brain slice procedure:[6]

Slicing chamber

These are used to house or culture brain slices.[6] It’s of different types, which include:[7]

  • Interface slice chamber: The chamber anchors the brain slice between hyper oxygenated aCSF and air — usually humidified at 95% O2 or 5% CO2. The top surface of the brain slice is exposed to pO2 while the bottom rests on a nylon sheet for an exchange of nutrients or waste with aCSF from underneath. The limitation of the chamber is that it affects the optical and physiological properties of the brain slices over time.[7]
  • Submerged slice chamber: It’s also known as the superfusion chamber. It provides improved control over aCSF flow over the brain slice and faster exchange of toxins or drugs compared to the interface chamber.[7]
  • Organotypic slice chambers: In this technique, the brain slice is spread out and settled into thin cell layers. This allows the development of new neuronal structures with the degeneration of a few neuronal fibers. Additionally, the technique also enables one to maintain the viability of the brain slices for weeks and even months. However, the technique is a time-intensive slice preparation.[7]
An illustration of different types of brain slice chambers: (A1) Interface chamber; (A2) submerged slice chamber; (B1) Organotypic slice chambers with interface chamber; and (B2) Organotypic slice chambers in a rotary tube

Figure: An illustration of different types of brain slice chambers: (A1) Interface chamber; (A2) submerged slice chamber; (B1) Organotypic slice chambers with interface chamber; and (B2) Organotypic slice chambers in a rotary tube.[7]

Besides these conventional slice chambers, advanced microfluidic devices are also available that provide improved oxygen penetration efficiency and enhance brain slice viability and functions.[7]

An illustration of a microfluidic device: (A) integrated into the linear experimental set-up; and (B) combined with conventional slice chambers

Figure: An illustration of a microfluidic device: (A) integrated into the linear experimental set-up; and (B) combined with conventional slice chambers.[7]

Blades

A range of blades are available in the market based on the materials used to manufacture them, such as highly-durable stainless steel, carbon steel feather blades, and ceramic blades.

Dissection tools

It includes tools such as fine dissecting “supercut” scissors (for cutting through the skull), fine spatula, heavy-duty spatula, curved blunt forceps, scissors for decapitation, scalpel handle, and 10-number blades.

Transcardial perfusion tools

It includes a large dish filled with Sylgard for pinning anesthetized animals, a 30 mL syringe with 25 5/8 gauge needles, and dissecting pins.

Multi-scale incubation chamber

The incubation chamber includes Brain Slice Keeper-4 or any other similar machine. However, it must have a fine gas diffuser stone for infusion of carbogen into the aCSF, a submerged netting for the slices to rest on, and some gentle constant flow to circulate the solution through the slice.

Vapor pressure osmometer

It should be calibrated frequently when in use and the thermocouple should be kept clean.[6]

Thermomixer

It should be accompanied by a thermoblock and the temperature should be set at 42°C with the mixing speed at 600 rpm – this maintains the molten state of 1.5% low agarose before usage.[6]

pH Meter

 It should always be calibrated before use.

Other than these, others include a carbonate supply machine, electrophysiology rig, blue laser for ChR2 photostimulation experiments, and laser scanning confocal microscope.[6]

Advantages and Limitations of Using Brain Slice Preparations

Brain slice preparation and usage have several advantages over other conventional techniques, which also increased the implementation of the technique in some experimental studies, such as investigating mammalian CNS activity.

However, some limitations also need to be considered before applying the brain slice preparation and procedure in your lab protocol.

Advantages

  • Great experimental control.[1]
  • Only focuses on the region of the brain circuit that is of interest.
  • Easy perfusion of substrates through the incubation fluid to carefully control the physiological conditions.[1]
  • Precise manipulation of neurotransmitter activities for research studies by perfusing agonists and antagonists.[1]
  • Compared to other in vitro platforms or experiments, the brain slice replicates many aspects of the in vivo regulations and environment.[8]
  • Brain slices preserve the tissue architecture of the brain region being studied. It maintains the neuronal activities with intact functional local synaptic circuitry of their origin.[8]
  • The brain slice procedure does not require lengthy animal surgery, laborious monitoring of multiple physiological parameters, model neuropathology of brain injury, or strictly following in vivo manipulations.
  • Brain slices support research on establishing clear links between molecular changes and neuropathological outcomes.[8]
  • The technique is faster and cheaper than in vivo approaches.
  • The procedure does not require the use of anesthesia after the initial sacrifice.[1]
  • It avoids the extension of intracellular recording by eliminating the mechanical effects of heartbeat and respiration.[1]

Limitations

  • The use of removed or isolated brain slices is limited by the absence of usual inputs and outputs of a whole brain.[1]
  • Slicing the brain can compromise brain tissues, affecting the morphology and physiological properties of the tissues.
  • Isolating the brain induces aging in the tissues at a faster rate during recording compared to studies on the intact brain.[1]
  • There is no blood flow in brain slices, so substrates and oxygen must enter the cells through diffusion from the medium, causing damage to the cells at the end.[9]
  • Brain slices have a limited lifespan, which limits the time for scientists to conduct their studies on the brain’s neuronal properties.[9]

Related Read: Preservation Techniques: Methods for Preserving Tissue Slices

Conclusion

A brain slice is a result of sectioning a particular part of the brain in a specific plane or orientation using a sharp blade. The prepared slice allows us to study underlying pathophysiological conditions, a particular area of the brain and its neural circuitry, and the development of brain tissues and neural networks.

However, there’s a need to develop and introduce affordable technologies that are not labor and time-intensive, and most importantly, do not alter the properties of the tissues to obtain accurate and reliable data.

Though microfluidic technology has the potential to improve brain and neuronal studies, it requires further research to determine its effective applications in that area.

Are you looking for a tissue slice chamber that works in both submerged and interface modes? Check out our acrylic biochemistry dual-channel system.

References

  1. Slice preparation. Retrieved from https://en.wikipedia.org/wiki/Slice_preparation.
  2. In Vitro Micro-Tissue and -Organ Models for Toxicity Testing. Retrieved from https://www.sciencedirect.com/science/article/pii/B9780080885049005031
  3. Slicing Terminology. Retrieved from https://serendipstudio.org/exchange/brains/slice/terminology
  4. Nadia Solomon. Brain orientation difficulties. Retrieved from https://www.kenhub.com/en/library/anatomy/brain-orientation-difficulties
  5. Directions and Planes of Section. Retrieved from https://faculty.washington.edu/chudler/slice.html#:~:text=The%20coronal%20plane%20is%20also,of%20the%20brain%20into%20parts
  6. Ting, Jonathan & Daigle, Tanya & Chen, Qian & Feng, Guoping. (2014). Acute Brain Slice Methods for Adult and Aging Animals: Application of Targeted Patch Clamp Analysis and Optogenetics. Methods in molecular biology (Clifton, N.J.). 1183. 221-42. 10.1007/978-1-4939-1096-0_14.
  7. Huang, Yu & Williams, Justin & Johnson, Stephen. (2012). Brain slice on a chip: Opportunities and challenges of applying microfluidic technology to intact tissues. Lab on a chip. 12. 2103-17. 10.1039/c2lc21142d.
  8. Cho S, Wood A, Bowlby MR. Brain slices as models for neurodegenerative disease and screening platforms to identify novel therapeutics. Curr Neuropharmacol. 2007 Mar;5(1):19-33. DOI: 10.2174/157015907780077105. PMID: 18615151; PMCID: PMC2435340.
  9. Mary C. McKenna, Gerald A.Dienel, Ursula Sonnewald Helle, S. Waagepetersen, and Arne Schousboe. Energy Metabolism of the Brain. Basic Neurochemistry (Eighth Edition), 2012, Pages 200-231.

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Introduction

In behavioral neuroscience, the Open Field Test (OFT) remains one of the most widely used assays to evaluate rodent models of affect, cognition, and motivation. It provides a non-invasive framework for examining how animals respond to novelty, stress, and pharmacological or environmental manipulations. Among the test’s core metrics, the percentage of time spent in the center zone offers a uniquely normalized and sensitive measure of an animal’s emotional reactivity and willingness to engage with a potentially risky environment.

This metric is calculated as the proportion of time spent in the central area of the arena—typically the inner 25%—relative to the entire session duration. By normalizing this value, researchers gain a behaviorally informative variable that is resilient to fluctuations in session length or overall movement levels. This makes it especially valuable in comparative analyses, longitudinal monitoring, and cross-model validation.

Unlike raw center duration, which can be affected by trial design inconsistencies, the percentage-based measure enables clearer comparisons across animals, treatments, and conditions. It plays a key role in identifying trait anxiety, avoidance behavior, risk-taking tendencies, and environmental adaptation, making it indispensable in both basic and translational research contexts.

Whereas simple center duration provides absolute time, the percentage-based metric introduces greater interpretability and reproducibility, especially when comparing different animal models, treatment conditions, or experimental setups. It is particularly effective for quantifying avoidance behaviors, risk assessment strategies, and trait anxiety profiles in both acute and longitudinal designs.

What Does Percentage of Time in the Centre Measure?

This metric reflects the relative amount of time an animal chooses to spend in the open, exposed portion of the arena—typically defined as the inner 25% of a square or circular enclosure. Because rodents innately prefer the periphery (thigmotaxis), time in the center is inversely associated with anxiety-like behavior. As such, this percentage is considered a sensitive, normalized index of:

  • Exploratory drive vs. risk aversion: High center time reflects an animal’s willingness to engage with uncertain or exposed environments, often indicative of lower anxiety and a stronger intrinsic drive to explore. These animals are more likely to exhibit flexible, information-gathering behaviors. On the other hand, animals that spend little time in the center display a strong bias toward the safety of the perimeter, indicative of a defensive behavioral state or trait-level risk aversion. This dichotomy helps distinguish adaptive exploration from fear-driven avoidance.

  • Emotional reactivity: Fluctuations in center time percentage serve as a sensitive behavioral proxy for changes in emotional state. In stress-prone or trauma-exposed animals, decreased center engagement may reflect hypervigilance or fear generalization, while a sudden increase might indicate emotional blunting or impaired threat appraisal. The metric is also responsive to acute stressors, environmental perturbations, or pharmacological interventions that impact affective regulation.

  • Behavioral confidence and adaptation: Repeated exposure to the same environment typically leads to reduced novelty-induced anxiety and increased behavioral flexibility. A rising trend in center time percentage across trials suggests successful habituation, reduced threat perception, and greater confidence in navigating open spaces. Conversely, a stable or declining trend may indicate behavioral rigidity or chronic stress effects.

  • Pharmacological or genetic modulation: The percentage of time in the center is widely used to evaluate the effects of pharmacological treatments and genetic modifications that influence anxiety-related circuits. Anxiolytic agents—including benzodiazepines, SSRIs, and cannabinoid agonists—reliably increase center occupancy, providing a robust behavioral endpoint in preclinical drug trials. Similarly, genetic models targeting serotonin receptors, GABAergic tone, or HPA axis function often show distinct patterns of center preference, offering translational insights into psychiatric vulnerability and resilience.

Critically, because this metric is normalized by session duration, it accommodates variability in activity levels or testing conditions. This makes it especially suitable for comparing across individuals, treatment groups, or timepoints in longitudinal studies.

A high percentage of center time indicates reduced anxiety, increased novelty-seeking, or pharmacological modulation (e.g., anxiolysis). Conversely, a low percentage suggests emotional inhibition, behavioral avoidance, or contextual hypervigilance. reduced anxiety, increased novelty-seeking, or pharmacological modulation (e.g., anxiolysis). Conversely, a low percentage suggests emotional inhibition, behavioral avoidance, or contextual hypervigilance.

Behavioral Significance and Neuroscientific Context

1. Emotional State and Trait Anxiety

The percentage of center time is one of the most direct, unconditioned readouts of anxiety-like behavior in rodents. It is frequently reduced in models of PTSD, chronic stress, or early-life adversity, where animals exhibit persistent avoidance of the center due to heightened emotional reactivity. This metric can also distinguish between acute anxiety responses and enduring trait anxiety, especially in longitudinal or developmental studies. Its normalized nature makes it ideal for comparing across cohorts with variable locomotor profiles, helping researchers detect true affective changes rather than activity-based confounds.

2. Exploration Strategies and Cognitive Engagement

Rodents that spend more time in the center zone typically exhibit broader and more flexible exploration strategies. This behavior reflects not only reduced anxiety but also cognitive engagement and environmental curiosity. High center percentage is associated with robust spatial learning, attentional scanning, and memory encoding functions, supported by coordinated activation in the prefrontal cortex, hippocampus, and basal forebrain. In contrast, reduced center engagement may signal spatial rigidity, attentional narrowing, or cognitive withdrawal, particularly in models of neurodegeneration or aging.

3. Pharmacological Responsiveness

The open field test remains one of the most widely accepted platforms for testing anxiolytic and psychotropic drugs. The percentage of center time reliably increases following administration of anxiolytic agents such as benzodiazepines, SSRIs, and GABA-A receptor agonists. This metric serves as a sensitive and reproducible endpoint in preclinical dose-finding studies, mechanistic pharmacology, and compound screening pipelines. It also aids in differentiating true anxiolytic effects from sedation or motor suppression by integrating with other behavioral parameters like distance traveled and entry count (Prut & Belzung, 2003).

4. Sex Differences and Hormonal Modulation

Sex-based differences in emotional regulation often manifest in open field behavior, with female rodents generally exhibiting higher variability in center zone metrics due to hormonal cycling. For example, estrogen has been shown to facilitate exploratory behavior and increase center occupancy, while progesterone and stress-induced corticosterone often reduce it. Studies involving gonadectomy, hormone replacement, or sex-specific genetic knockouts use this metric to quantify the impact of endocrine factors on anxiety and exploratory behavior. As such, it remains a vital tool for dissecting sex-dependent neurobehavioral dynamics.
The percentage of center time is one of the most direct, unconditioned readouts of anxiety-like behavior in rodents. It is frequently reduced in models of PTSD, chronic stress, or early-life adversity. Because it is normalized, this metric is especially helpful for distinguishing between genuine avoidance and low general activity.

Methodological Considerations

  • Zone Definition: Accurately defining the center zone is critical for reliable and reproducible data. In most open field arenas, the center zone constitutes approximately 25% of the total area, centrally located and evenly distanced from the walls. Software-based segmentation tools enhance precision and ensure consistency across trials and experiments. Deviations in zone parameters—whether due to arena geometry or tracking inconsistencies—can result in skewed data, especially when calculating percentages.

     

  • Trial Duration: Trials typically last between 5 to 10 minutes. The percentage of time in the center must be normalized to total trial duration to maintain comparability across animals and experimental groups. Longer trials may lead to fatigue, boredom, or habituation effects that artificially reduce exploratory behavior, while overly short trials may not capture full behavioral repertoires or response to novel stimuli.

     

  • Handling and Habituation: Variability in pre-test handling can introduce confounds, particularly through stress-induced hypoactivity or hyperactivity. Standardized handling routines—including gentle, consistent human interaction in the days leading up to testing—reduce variability. Habituation to the testing room and apparatus prior to data collection helps animals engage in more representative exploratory behavior, minimizing novelty-induced freezing or erratic movement.

     

  • Tracking Accuracy: High-resolution tracking systems should be validated for accurate, real-time detection of full-body center entries and sustained occupancy. The system should distinguish between full zone occupancy and transient overlaps or partial body entries that do not reflect true exploratory behavior. Poor tracking fidelity or lag can produce significant measurement error in percentage calculations.

     

  • Environmental Control: Uniformity in environmental conditions is essential. Lighting should be evenly diffused to avoid shadow bias, and noise should be minimized to prevent stress-induced variability. The arena must be cleaned between trials using odor-neutral solutions to eliminate scent trails or pheromone cues that may affect zone preference. Any variation in these conditions can introduce systematic bias in center zone behavior. Use consistent definitions of the center zone (commonly 25% of total area) to allow valid comparisons. Software-based segmentation enhances spatial precision.

Interpretation with Complementary Metrics

Temporal Dynamics of Center Occupancy

Evaluating how center time evolves across the duration of a session—divided into early, middle, and late thirds—provides insight into behavioral transitions and adaptive responses. Animals may begin by avoiding the center, only to gradually increase center time as they habituate to the environment. Conversely, persistently low center time across the session can signal prolonged anxiety, fear generalization, or a trait-like avoidance phenotype.

Cross-Paradigm Correlation

To validate the significance of center time percentage, it should be examined alongside results from other anxiety-related tests such as the Elevated Plus Maze, Light-Dark Box, or Novelty Suppressed Feeding. Concordance across paradigms supports the reliability of center time as a trait marker, while discordance may indicate task-specific reactivity or behavioral dissociation.

Behavioral Microstructure Analysis

When paired with high-resolution scoring of behavioral events such as rearing, grooming, defecation, or immobility, center time offers a richer view of the animal’s internal state. For example, an animal that spends substantial time in the center while grooming may be coping with mild stress, while another that remains immobile in the periphery may be experiencing more severe anxiety. Microstructure analysis aids in decoding the complexity behind spatial behavior.

Inter-individual Variability and Subgroup Classification

Animals naturally vary in their exploratory style. By analyzing percentage of center time across subjects, researchers can identify behavioral subgroups—such as consistently bold individuals who frequently explore the center versus cautious animals that remain along the periphery. These classifications can be used to examine predictors of drug response, resilience to stress, or vulnerability to neuropsychiatric disorders.

Machine Learning-Based Behavioral Clustering

In studies with large cohorts or multiple behavioral variables, machine learning techniques such as hierarchical clustering or principal component analysis can incorporate center time percentage to discover novel phenotypic groupings. These data-driven approaches help uncover latent dimensions of behavior that may not be visible through univariate analyses alone.

Total Distance Traveled

Total locomotion helps contextualize center time. Low percentage values in animals with minimal movement may reflect sedation or fatigue, while similar values in high-mobility subjects suggest deliberate avoidance. This metric helps distinguish emotional versus motor causes of low center engagement.

Number of Center Entries

This measure indicates how often the animal initiates exploration of the center zone. When combined with percentage of time, it differentiates between frequent but brief visits (indicative of anxiety or impulsivity) versus fewer but sustained center engagements (suggesting comfort and behavioral confidence).

Latency to First Center Entry

The delay before the first center entry reflects initial threat appraisal. Longer latencies may be associated with heightened fear or low motivation, while shorter latencies are typically linked to exploratory drive or low anxiety.

Thigmotaxis Time

Time spent hugging the walls offers a spatial counterbalance to center metrics. High thigmotaxis and low center time jointly support an interpretation of strong avoidance behavior. This inverse relationship helps triangulate affective and motivational states.

Applications in Translational Research

  • Drug Discovery: The percentage of center time is a key behavioral endpoint in the development and screening of anxiolytic, antidepressant, and antipsychotic medications. Its sensitivity to pharmacological modulation makes it particularly valuable in dose-response assessments and in distinguishing therapeutic effects from sedative or locomotor confounds. Repeated trials can also help assess drug tolerance and chronic efficacy over time.
  • Genetic and Neurodevelopmental Modeling: In transgenic and knockout models, altered center percentage provides a behavioral signature of neurodevelopmental abnormalities. This is particularly relevant in the study of autism spectrum disorders, ADHD, fragile X syndrome, and schizophrenia, where subjects often exhibit heightened anxiety, reduced flexibility, or altered environmental engagement.
  • Hormonal and Sex-Based Research: The metric is highly responsive to hormonal fluctuations, including estrous cycle phases, gonadectomy, and hormone replacement therapies. It supports investigations into sex differences in stress reactivity and the behavioral consequences of endocrine disorders or interventions.
  • Environmental Enrichment and Deprivation: Housing conditions significantly influence anxiety-like behavior and exploratory motivation. Animals raised in enriched environments typically show increased center time, indicative of reduced stress and greater behavioral plasticity. Conversely, socially isolated or stimulus-deprived animals often show strong center avoidance.
  • Behavioral Biomarker Development: As a robust and reproducible readout, center time percentage can serve as a behavioral biomarker in longitudinal and interventional studies. It is increasingly used to identify early signs of affective dysregulation or to track the efficacy of neuromodulatory treatments such as optogenetics, chemogenetics, or deep brain stimulation.
  • Personalized Preclinical Models: This measure supports behavioral stratification, allowing researchers to identify high-anxiety or low-anxiety phenotypes before treatment. This enables within-group comparisons and enhances statistical power by accounting for pre-existing behavioral variation. Used to screen anxiolytic agents and distinguish between compounds with sedative vs. anxiolytic profiles.

Enhancing Research Outcomes with Percentage-Based Analysis

By expressing center zone activity as a proportion of total trial time, researchers gain a metric that is resistant to session variability and more readily comparable across time, treatment, and model conditions. This normalized measure enhances reproducibility and statistical power, particularly in multi-cohort or cross-laboratory designs.

For experimental designs aimed at assessing anxiety, exploratory strategy, or affective state, the percentage of time spent in the center offers one of the most robust and interpretable measures available in the Open Field Test.

Explore high-resolution tracking solutions and open field platforms at

References

  • Prut, L., & Belzung, C. (2003). The open field as a paradigm to measure the effects of drugs on anxiety-like behaviors: a review. European Journal of Pharmacology, 463(1–3), 3–33.
  • Seibenhener, M. L., & Wooten, M. C. (2015). Use of the open field maze to measure locomotor and anxiety-like behavior in mice. Journal of Visualized Experiments, (96), e52434.
  • Crawley, J. N. (2007). What’s Wrong With My Mouse? Behavioral Phenotyping of Transgenic and Knockout Mice. Wiley-Liss.
  • Carola, V., D’Olimpio, F., Brunamonti, E., Mangia, F., & Renzi, P. (2002). Evaluation of the elevated plus-maze and open-field tests for the assessment of anxiety-related behavior in inbred mice. Behavioral Brain Research, 134(1–2), 49–57.

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