scholarly journals Training-induced prefrontal neuronal changes transfer between tasks

2020 ◽  
Author(s):  
Hua Tang ◽  
Mitchell R. Riley ◽  
Balbir Singh ◽  
Xue-Lian Qi ◽  
David T. Blake ◽  
...  
Keyword(s):  
Neural Activity ◽  
Training Transfer ◽  
Phase Changes ◽  
Single Units ◽  
Cognitive Tasks ◽  
Field Potentials ◽  
Electrode Arrays ◽  
Control Task ◽  
Neural Basis ◽  
Neural Substrate

AbstractTraining to improve working memory is associated with changes in prefrontal activation and confers lasting benefits, some of which generalize to untrained tasks, though the issue remains contentious and the neural substrate underlying such transfer are unknown. To assess how neural activity changes induced by training transfer across tasks, we recorded single units, multi-unit activity (MUA) and local field potentials (LFP) with chronic electrode arrays implanted in the prefrontal cortex of two monkeys, as they were trained to perform cognitive tasks. Mastering different tasks was associated with distinct changes in neural activity, which included redistribution of power across frequency bands in the LFP, recruitment of larger numbers of MUA sites, and increase or decrease of mean neural activity across single units. In every training phase, changes induced by the actively learned task transferred to an untrained control task, which remained the same across the training period. The results explicate the neural basis through which training can transfer across cognitive tasks.

scholarly journals Prefrontal cortical plasticity during learning of cognitive tasks

2022 ◽  
Vol 13 (1) ◽  
Author(s):  
Hua Tang ◽  
Mitchell R. Riley ◽  
Balbir Singh ◽  
Xue-Lian Qi ◽  
David T. Blake ◽  
...  
Keyword(s):  
Neural Activity ◽  
Cortical Plasticity ◽  
Cortical Activity ◽  
Phase Changes ◽  
Cognitive Tasks ◽  
Training Phase ◽  
Field Potentials ◽  
Electrode Arrays ◽  
Control Task ◽  
Prefrontal Cortical

AbstractTraining in working memory tasks is associated with lasting changes in prefrontal cortical activity. To assess the neural activity changes induced by training, we recorded single units, multi-unit activity (MUA) and local field potentials (LFP) with chronic electrode arrays implanted in the prefrontal cortex of two monkeys, throughout the period they were trained to perform cognitive tasks. Mastering different task phases was associated with distinct changes in neural activity, which included recruitment of larger numbers of neurons, increases or decreases of their firing rate, changes in the correlation structure between neurons, and redistribution of power across LFP frequency bands. In every training phase, changes induced by the actively learned task were also observed in a control task, which remained the same across the training period. Our results reveal how learning to perform cognitive tasks induces plasticity of prefrontal cortical activity, and how activity changes may generalize between tasks.

Encoding of Reach and Grasp by Single Neurons in Premotor Cortex Is Independent of Recording Site

2007 ◽  
Vol 97 (5) ◽  
pp. 3351-3364 ◽  
Author(s):  
Eran Stark ◽  
Itay Asher ◽  
Moshe Abeles
Keyword(s):  
Neural Activity ◽  
Functional Organization ◽  
Premotor Cortex ◽  
Single Units ◽  
Reach And Grasp ◽  
Proximal Site ◽  
Neural Substrate ◽  
Prehension Movements ◽  
Distal Site ◽  
Grasp Type

Neural activity has been studied during reaching and grasping separately, yet little is known about their combined representation. To study the functional organization of reaching and grasping in the premotor cortex (PM), we trained two monkeys to reach in one of six directions and grasp one of three objects. During prehensile movements, activity of proximal (shoulder and elbow) muscles was mainly modulated by reach direction, whereas distal (finger) muscles were also modulated by grasp type. Using intracortical microstimulation, we identified spatially distinct PM sites from which movements of proximal or distal joints were evoked. In contrast to muscles, modulation of neural activity by reach direction was similar for single units recorded in proximal and distal sites. Similarly, grasp type encoding was the same for units recorded in the different sites. This pattern of encoding reach and grasp irrespective of recoding site was observed throughout the task: before, during, and after prehension movements. Despite the similarities between single units within different sites, we found differences between pairs of units. Pairs of directionally selective units recorded by the same electrode in the same proximal site preferred similar reach directions but not grasp types, whereas pairs of object-selective units recorded in the same distal site tended to prefer the same grasp type but not reach direction. We suggest that the unexpected “mixing neurons” encoding reach and grasp within distal and proximal sites, respectively, provide a neural substrate for coordination between reach and grasp during prehension.

Eyeblink conditioning contingent on hippocampal theta enhances hippocampal and medial prefrontal responses

2011 ◽  
Vol 105 (5) ◽  
pp. 2213-2224 ◽  
Author(s):  
Ryan D. Darling ◽  
Kanako Takatsuki ◽  
Amy L. Griffin ◽  
Stephen D. Berry
Keyword(s):  
Neural Activity ◽  
Theta Rhythm ◽  
Eyeblink Conditioning ◽  
Trace Conditioning ◽  
Distributed Network ◽  
Field Potentials ◽  
Trace Interval ◽  
Behavioral Learning ◽  
Paired Group ◽  
Hippocampal Theta

Trace eyeblink classical conditioning (tEBCC) can be accelerated by making training trials contingent on the naturally generated hippocampal 3- to 7-Hz theta rhythm. However, it is not well-understood how the presence (or absence) of theta affects stimulus-driven changes within the hippocampus and how it correlates with patterns of neural activity in other essential trace conditioning structures, such as the medial prefrontal cortex (mPFC). In the present study, a brain-computer interface delivered paired or unpaired conditioning trials to rabbits during the explicit presence (T+) or absence (T−) of theta, yielding significantly faster behavioral learning in the T+-paired group. The stimulus-elicited hippocampal unit responses were larger and more rhythmic in the T+-paired group. This facilitation of unit responses was complemented by differences in the hippocampal local field potentials (LFP), with the T+-paired group demonstrating more coherent stimulus-evoked theta than T−-paired animals and both unpaired groups. mPFC unit responses in the rapid learning T+-paired group displayed a clear inhibitory/excitatory sequential pattern of response to the tone that was not seen in any other group. Furthermore, sustained mPFC unit excitation continued through the trace interval in T+animals but not in T−animals. Thus theta-contingent training is accompanied by 1) acceleration in behavioral learning, 2) enhancement of the hippocampal unit and LFP responses, and 3) enhancement of mPFC unit responses. Together, these data provide evidence that pretrial hippocampal state is related to enhanced neural activity in critical structures of the distributed network supporting the acquisition of tEBCC.

scholarly journals Single units and conscious vision

1998 ◽  
Vol 353 (1377) ◽  
pp. 1801-1818 ◽  
Author(s):  
◽  
N. K. Logothetis
Keyword(s):  
Binocular Rivalry ◽  
Neural Activity ◽  
Visual Awareness ◽  
Physiological Data ◽  
Neural Basis ◽  
Binocular Fusion ◽  
Neural Representations ◽  
Multistable Perception ◽  
Visual Areas ◽  
Psychophysical Studies

Figures that can be seen in more than one way are invaluable tools for the study of the neural basis of visual awareness, because such stimuli permit the dissociation of the neural responses that underlie what we perceive at any given time from those forming the sensory representation of a visual pattern. To study the former type of responses, monkeys were subjected to binocular rivalry, and the response of neurons in a number of different visual areas was studied while the animals reported their alternating percepts by pulling levers. Perception–related modulations of neural activity were found to occur to different extents in different cortical visual areas. The cells that were affected by suppression were almost exclusively binocular, and their proportion was found to increase in the higher processing stages of the visual system. The strongest correlations between neural activity and perception were observed in the visual areas of the temporal lobe. A strikingly large number of neurons in the early visual areas remained active during the perceptual suppression of the stimulus, a finding suggesting that conscious visual perception might be mediated by only a subset of the cells exhibiting stimulus selective responses. These physiological findings, together with a number of recent psychophysical studies, offer a new explanation of the phenomenon of binocular rivalry. Indeed, rivalry has long been considered to be closely linked with binocular fusion and stereopsis, and the sequences of dominance and suppression have been viewed as the result of competition between the two monocular channels. The physiological data presented here are incompatible with this interpretation. Rather than reflecting interocular competition, the rivalry is most probably between the two different central neural representations generated by the dichoptically presented stimuli. The mechanisms of rivalry are probably the same as, or very similar to, those underlying multistable perception in general, and further physiological studies might reveal a much about the neural mechanisms of our perceptual organization.

scholarly journals Multi-shanks SiNAPS Active Pixel Sensor CMOS probe: 1024 simultaneously recording channels for high-density intracortical brain mapping

2019 ◽  
Author(s):  
Fabio Boi ◽  
Nikolas Perentos ◽  
Aziliz Lecomte ◽  
Gerrit Schwesig ◽  
Stefano Zordan ◽  
...  
Keyword(s):  
Neural Activity ◽  
Brain Activity ◽  
Brain Area ◽  
Large Population ◽  
Brain Structures ◽  
High Density ◽  
Single Neurons ◽  
Electrode Arrays ◽  
Unit Recording ◽  
Recording Channels

AbstractThe advent of implantable active dense CMOS neural probes opened a new era for electrophysiology in neuroscience. These single shank electrode arrays, and the emerging tailored analysis tools, provide for the first time to neuroscientists the neurotechnology means to spatiotemporally resolve the activity of hundreds of different single-neurons in multiple vertically aligned brain structures. However, while these unprecedented experimental capabilities to study columnar brain properties are a big leap forward in neuroscience, there is the need to spatially distribute electrodes also horizontally. Closely spacing and consistently placing in well-defined geometrical arrangement multiple isolated single-shank probes is methodologically and economically impractical. Here, we present the first high-density CMOS neural probe with multiple shanks integrating thousand’s of closely spaced and simultaneously recording microelectrodes to map neural activity across 2D lattice. Taking advantage from the high-modularity of our electrode-pixels-based SiNAPS technology, we realized a four shanks active dense probe with 256 electrode-pixels/shank and a pitch of 28 µm, for a total of 1024 simultaneously recording channels. The achieved performances allow for full-band, whole-array read-outs at 25 kHz/channel, show a measured input referred noise in the action potential band (300-7000 Hz) of 6.5 ± 2.1µVRMS, and a power consumption <6 µW/electrode-pixel. Preliminary recordings in awake behaving mice demonstrated the capability of multi-shanks SiNAPS probes to simultaneously record neural activity (both LFPs and spikes) from a brain area >6 mm2, spanning cortical, hippocampal and thalamic regions. High-density 2D array enables combining large population unit recording across distributed networks with precise intra- and interlaminar/nuclear mapping of the oscillatory dynamics. These results pave the way to a new generation of high-density and extremely compact multi-shanks CMOS-probes with tunable layouts for electrophysiological mapping of brain activity at the single-neurons resolution.

Ex Vivo Brain Preparation to Analyze Vocal Pathways of Xenopus Frogs

2021 ◽  
Vol 2021 (9) ◽  
pp. pdb.prot106872
Author(s):  
Ayako Yamaguchi
Keyword(s):  
Neural Activity ◽  
Ex Vivo ◽  
Neural Circuitry ◽  
Neural Basis ◽  
Vocal Production ◽  
Basic Principles ◽  
Electrophysiological Recordings ◽  
The Brain

Understanding the neural basis of behavior is a challenging task for technical reasons. Most methods of recording neural activity require animals to be immobilized, but neural activity associated with most behavior cannot be recorded from an anesthetized, immobilized animal. Using amphibians, however, there has been some success in developing in vitro brain preparations that can be used for electrophysiological and anatomical studies. Here, we describe an ex vivo frog brain preparation from which fictive vocalizations (the neural activity that would have produced vocalizations had the brain been attached to the muscle) can be elicited repeatedly. When serotonin is applied to the isolated brains of male and female African clawed frogs, Xenopus laevis, laryngeal nerve activity that is a facsimile of those that underlie sex-specific vocalizations in vivo can be readily recorded. Recently, this preparation was successfully used in other species within the genus including Xenopus tropicalis and Xenopus victorianus. This preparation allows a variety of techniques to be applied including extracellular and intracellular electrophysiological recordings and calcium imaging during vocal production, surgical and pharmacological manipulation of neurons to evaluate their impact on motor output, and tract tracing of the neural circuitry. Thus, the preparation is a powerful tool with which to understand the basic principles that govern the production of coherent and robust motor programs in vertebrates.

scholarly journals Behavioral Choice-related Neuronal Activity in Monkey Primary Somatosensory Cortex in a Haptic Delay Task

2012 ◽  
Vol 24 (7) ◽  
pp. 1634-1644 ◽  
Author(s):  
Liping Wang ◽  
Xianchun Li ◽  
Steven S. Hsiao ◽  
Mark Bodner ◽  
Fred Lenz ◽  
...  
Keyword(s):  
Somatosensory Cortex ◽  
Neuronal Activity ◽  
Neural Activity ◽  
Incorrect Response ◽  
Primary Somatosensory Cortex ◽  
Control Task ◽  
Neural Correlate ◽  
Behavioral Choice ◽  
Delay Task ◽  
Number Of Cells

The neuronal activity in the primary somatosensory cortex was collected when monkeys performed a haptic–haptic DMS task. We found that, in trials with correct task performance, a substantial number of cells showed significant differential neural activity only when the monkeys had to make a choice between two different haptic objects. Such a difference in neural activity was significantly reduced in incorrect response trials. However, very few cells showed the choice-only differential neural activity in monkeys who performed a control task that was identical to the haptic–haptic task but did not require the animal to either actively memorize the sample or make a choice between two objects at the end of a trial. From these results, we infer that the differential activity recorded from cells in the primary somatosensory cortex in correct performance reflects the neural process of behavioral choice, and therefore, it is a neural correlate of decision-making when the animal has to make a haptic choice.

Imagine imaging neural activity in crying infants and in their caring parents

2004 ◽  
Vol 27 (4) ◽  
pp. 465-467 ◽  
Author(s):  
Steven Laureys ◽  
Serge Goldman
Keyword(s):  
Neural Activity ◽  
Functional Neuroimaging ◽  
Brain Activity ◽  
Objective Measurement ◽  
Signal Function ◽  
Infant Crying ◽  
Early Infant ◽  
Neural Substrate

Soltis' paper contains little data on the underlying neural substrate of the discussed signal function of early infant crying – probably because there is amazingly little known about it. We here discuss the interest of functional neuroimaging as an objective measurement of brain activity in (1) early infants during crying and (2) parents hearing their offspring cry.

Intersubjectivity evolved to fit the brain, but grammar co-evolved with the brain

2008 ◽  
Vol 31 (5) ◽  
pp. 523-524
Author(s):  
Patricia M. Greenfield ◽  
Kristen Gillespie-Lynch
Keyword(s):  
Natural Selection ◽  
Mirror Neurons ◽  
Cladistic Analysis ◽  
Neural Substrates ◽  
Neural Basis ◽  
Language Functions ◽  
Neural Substrate ◽  
The Brain

AbstractWe propose that some aspects of language – notably intersubjectivity – evolved to fit the brain, whereas other aspects – notably grammar – co-evolved with the brain. Cladistic analysis indicates that common basic structures of both action and grammar arose in phylogeny six million years ago and in ontogeny before age two, with a shared prefrontal neural substrate. In contrast, mirror neurons, found in both humans and monkeys, suggest that the neural basis for intersubjectivity evolved before language. Natural selection acts upon genes controlling the neural substrates of these phenotypic language functions.

scholarly journals Emotional moments across time: a possible neural basis for time perception in the anterior insula

2009 ◽  
Vol 364 (1525) ◽  
pp. 1933-1942 ◽  
Author(s):  
A.D. (Bud) Craig
Keyword(s):  
Time Perception ◽  
Functional Imaging ◽  
Insular Cortex ◽  
Anterior Insula ◽  
Time Base ◽  
Afferent Activity ◽  
Neural Basis ◽  
Time Intervals ◽  
Neural Substrate ◽  
Nature Of Time

A model of awareness based on interoceptive salience is described, which has an endogenous time base that might provide a basis for the human capacity to perceive and estimate time intervals in the range of seconds to subseconds. The model posits that the neural substrate for awareness across time is located in the anterior insular cortex, which fits with recent functional imaging evidence relevant to awareness and time perception. The time base in this model is adaptive and emotional, and thus it offers an explanation for some aspects of the subjective nature of time perception. This model does not describe the mechanism of the time base, but it suggests a possible relationship with interoceptive afferent activity, such as heartbeat-related inputs.

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