scholarly journals Neural Correlates of True and False Recognition Memory for Socially Relevant Information in Schizophrenia

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Amy M Jimenez ◽  
Junghee Lee ◽  
Eric A Reavis ◽  
Jonathan K Wynn ◽  
Michael F Green
Keyword(s):  
Prefrontal Cortex ◽  
Recognition Memory ◽  
False Recognition ◽  
Cingulate Cortex ◽  
Posterior Cingulate Cortex ◽  
Anterior Cingulate ◽  
False Alarms ◽  
Neural Activation ◽  
Lateral Prefrontal Cortex ◽  
Socially Relevant

Abstract Individuals with schizophrenia (SZ) demonstrate poor recognition memory, even when information is socially relevant. The neural alterations associated with responses to old information that is accurately recognized (true recognition) vs new information inaccurately identified as old (false recognition) are not known. Twenty SZ patients and 16 healthy controls performed a recognition paradigm during functional magnetic resonance imaging (fMRI) using 78 learned target and 78 new distractor words (all socially relevant trait adjectives). Participants were asked to indicate whether they had seen the word before or not. Words were classified according to the subjects’ responses, as hits (true recognition), false alarms (false recognition), correct rejections, or misses and compared for blood-oxygen-level-dependent (BOLD) activation. During hits, patients with SZ and controls showed similar BOLD activation in expected areas of lateral prefrontal cortex, parietal cortex, and anterior cingulate cortex. During false alarms, controls activated many of the same regions as were activated during hits. In contrast, patients had reduced activation in lateral prefrontal cortex (Brodmann Area, BA, 9, 46), anterior cingulate/paracingulate (BA 24/32, 6), and posterior cingulate cortex (BA 23/31). These results indicate that, compared to controls, patients with SZ exhibit a lack of correspondence between behavior (ie, falsely identifying new items as old) and neural activation patterns (ie, overlap in activation of regions associated with true and false recognition). These findings shed light on the neural mechanisms associated with false recognition memory in SZ.

scholarly journals The Role of Intact Frontostriatal Circuits in Error Processing

2006 ◽  
Vol 18 (4) ◽  
pp. 651-664 ◽  
Author(s):  
Markus Ullsperger ◽  
D. Yves von Cramon
Keyword(s):  
Prefrontal Cortex ◽  
Basal Ganglia ◽  
Anterior Cingulate Cortex ◽  
Performance Monitoring ◽  
Brain Plasticity ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Cortical Circuits ◽  
Lateral Prefrontal Cortex ◽  
Error Related Negativity

The basal ganglia have been suggested to play a key role in performance monitoring and resulting behavioral adjustments. It is assumed that the integration of prefrontal and motor cortico—striato—thalamo—cortical circuits provides contextual information to the motor anterior cingulate cortex regions to enable their function in performance monitoring. So far, direct evidence is missing, however. We addressed the involvement of frontostriatal circuits in performance monitoring by collecting event-related brain potentials (ERPs) and behavioral data in nine patients with focal basal ganglia lesions and seven patients with lateral prefrontal cortex lesions while they performed a flanker task. In both patient groups, the amplitude of the error-related negativity was reduced, diminishing the difference to the ERPs on correct responses. Despite these electrophysiological abnormalities, most of the patients were able to correct errors. Only in lateral prefrontal cortex patients whose lesions extended into the frontal white matter, disrupting the connections to the motor anterior cingulate cortex and the striatum, were error corrections severely impaired. In sum, the fronto—striato—thalamo—cortical circuits seem necessary for the generation of error-related negativity, even when brain plasticity has resulted in behavioral compensation of the damage. Thus, error-related ERPs in patients provide a sensitive measure of the integrity of the performance monitoring network.

scholarly journals Face selective patches in marmoset frontal cortex

2020 ◽  
Author(s):  
David J. Schaeffer ◽  
Janahan Selvanayagam ◽  
Kevin D. Johnston ◽  
Ravi S. Menon ◽  
Winrich A. Freiwald ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Frontal Cortex ◽  
Anterior Cingulate Cortex ◽  
Face Processing ◽  
New World ◽  
Anterior Cingulate ◽  
Old World ◽  
Lateral Prefrontal Cortex ◽  
Socially Relevant ◽  
High Level

AbstractPrimates have evolved the ability transmit important social information through facial expression. In humans and macaque monkeys, socially relevant face processing is accomplished via a distributed cortical and subcortical functional network that includes specialized patches in anterior cingulate cortex and lateral prefrontal cortex, regions usually associated with high-level cognition. It is unclear whether a similar network exists in New World primates, who diverged ~35 million years from Old World primates and have a less elaborated frontal cortex. The common marmoset (Callithrix jacchus) is a small New World primate that is ideally placed to address this question given the complex social repertoire inherent to this species (e.g., observational social learning; imitation; cooperative antiphonal calling). Here, we investigated the existence of a putative high-level face processing network in marmosets by employing ultra-high field (9.4 Tesla) task-based functional MRI (fMRI). We demonstrated that, like Old World primates, marmosets show differential activation in anterior cingulate cortex and lateral prefrontal cortex while they view socially relevant videos of marmoset faces. We corroborate the locations of these frontal regions by demonstrating both functional (via resting-state fMRI) and structural (via cellular-level tracing) connectivity between these regions and temporal lobe face patches. Given the evolutionary separation between macaques and marmosets, our results suggest this frontal network specialized for social face processing predates the separation between Platyrrhini and Catarrhine. These results give further credence to the marmoset as a viable preclinical modelling species for studying human social disorders.

scholarly journals Phase of Firing Coding of Learning Variables across Prefrontal Cortex, Anterior Cingulate Cortex and Striatum during Feature Learning

2019 ◽  
Author(s):  
Benjamin Voloh ◽  
Mariann Oemisch ◽  
Thilo Womelsdorf
Keyword(s):  
Prefrontal Cortex ◽  
Anterior Cingulate Cortex ◽  
Long Range ◽  
Cingulate Cortex ◽  
Temporal Coding ◽  
Anterior Cingulate ◽  
Prediction Errors ◽  
Lateral Prefrontal Cortex ◽  
Firing Rates ◽  
Reward Prediction

AbstractThe prefrontal cortex and striatum form a recurrent network whose spiking activity encodes multiple types of learning-relevant information. This spike-encoded information is evident in average firing rates, but finer temporal coding might allow multiplexing and enhanced readout across the connected the network. We tested this hypothesis in the fronto-striatal network of nonhuman primates during reversal learning of feature values. We found that neurons encoding current choice outcomes, outcome prediction errors, and outcome history in their firing rates also carried significant information in their phase-of-firing at a 10-25 Hz beta frequency at which they synchronized across lateral prefrontal cortex, anterior cingulate cortex and striatum. The phase-of-firing code exceeded information that could be obtained from firing rates alone, was strong for inter-areal connections, and multiplexed information at three different phases of the beta cycle that were offset from the preferred spiking phase of neurons. Taken together, these findings document the multiplexing of three different types of information in the phase-of-firing at an interareally shared beta oscillation frequency during goal-directed behavior.HighlightsLateral prefrontal cortex, anterior cingulate cortex and striatum show phase-of-firing encoding for outcome, outcome history and reward prediction errors.Neurons with phase-of-firing code synchronize long-range at 10-25 Hz.Spike phases encoding reward prediction errors deviate from preferred synchronization phases.Anterior cingulate cortex neurons show strongest long-range effects.

scholarly journals Phase of firing coding of learning variables across the fronto-striatal network during feature-based learning

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Benjamin Voloh ◽  
Mariann Oemisch ◽  
Thilo Womelsdorf
Keyword(s):  
Prefrontal Cortex ◽  
Anterior Cingulate Cortex ◽  
Information Gain ◽  
Cingulate Cortex ◽  
Temporal Coding ◽  
Anterior Cingulate ◽  
Prediction Errors ◽  
Significant Information ◽  
Lateral Prefrontal Cortex ◽  
Firing Rates

Abstract The prefrontal cortex and striatum form a recurrent network whose spiking activity encodes multiple types of learning-relevant information. This spike-encoded information is evident in average firing rates, but finer temporal coding might allow multiplexing and enhanced readout across the connected network. We tested this hypothesis in the fronto-striatal network of nonhuman primates during reversal learning of feature values. We found that populations of neurons encoding choice outcomes, outcome prediction errors, and outcome history in their firing rates also carry significant information in their phase-of-firing at a 10–25 Hz band-limited beta frequency at which they synchronize across lateral prefrontal cortex, anterior cingulate cortex and anterior striatum when outcomes were processed. The phase-of-firing code exceeds information that can be obtained from firing rates alone and is evident for inter-areal connections between anterior cingulate cortex, lateral prefrontal cortex and anterior striatum. For the majority of connections, the phase-of-firing information gain is maximal at phases of the beta cycle that were offset from the preferred spiking phase of neurons. Taken together, these findings document enhanced information of three important learning variables at specific phases of firing in the beta cycle at an inter-areally shared beta oscillation frequency during goal-directed behavior.

scholarly journals Feature Specific Prediction Errors and Surprise across Macaque Fronto-Striatal Circuits during Attention and Learning

2018 ◽  
Author(s):  
Mariann Oemisch ◽  
Stephanie Westendorff ◽  
Marzyeh Azimi ◽  
Seyed Ali Hassani ◽  
Salva Ardid ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Anterior Cingulate Cortex ◽  
Prediction Error ◽  
Ventral Striatum ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Prediction Errors ◽  
Lateral Prefrontal Cortex ◽  
Feature Based ◽  
Specific Prediction

SummaryPrediction errors signal unexpected outcomes indicating that expectations need to be adjusted. For adjusting expectations efficiently prediction errors need to be associated with the precise features that gave rise to the unexpected outcome. For many visual tasks this credit assignment proceeds in a multidimensional feature space that makes it ambiguous which object defining features are relevant. Here, we report of a potential solution by showing that neurons in all areas of the medial and lateral fronto-striatal networks encode prediction errors that are specific to separate features of attended multidimensional stimuli, with the most ubiquitous prediction error occurring for the reward relevant features. These feature specific prediction error signals (1) are different from a non-specific prediction error signal, (2) arise earliest in the anterior cingulate cortex and later in lateral prefrontal cortex, caudate and ventral striatum, and (3) contribute to feature-based stimulus selection after learning. These findings provide strong evidence for a widely-distributed feature-based eligibility trace that can be used to update synaptic weights for improved feature-based attention.HighlightsNeural reward prediction errors carry information for updating feature-based attention in all areas of the fronto-striatal network.Feature specific neural prediction errors emerge earliest in anterior cingulate cortex and later in lateral prefrontal cortex.Ventral striatum neurons encode feature specific surprise strongest for the goal-relevant feature.Neurons encoding feature-specific prediction errors contribute to attentional selection after learning.

Serum Vitamin D and Cingulate Cortex Thickness in Older Adults: Quantitative MRI of the Brain

2019 ◽  
Vol 16 (11) ◽  
pp. 1063-1071 ◽  
Author(s):  
Gonzague Foucault ◽  
Guillaume T Duval ◽  
Romain Simon ◽  
Olivier Beauchet ◽  
Mickael Dinomais ◽  
...  
Keyword(s):  
Older Adults ◽  
Vitamin D ◽  
Brain Mri ◽  
Serum Vitamin ◽  
Cingulate Cortex ◽  
Posterior Cingulate Cortex ◽  
Vitamin D Insufficiency ◽  
Anterior Cingulate ◽  
Posterior Cingulate ◽  
Significant Difference

Background: Vitamin D insufficiency is associated with brain changes, and cognitive and mobility declines in older adults. Method: Two hundred and fifteen Caucasian older community-dwellers (mean±SD, 72.1±5.5years; 40% female) received a blood test and brain MRI. The thickness of perigenual anterior cingulate cortex, midcingulate cortex and posterior cingulate cortex was measured using FreeSurfer from T1-weighted MR images. Age, gender, education, BMI, mean arterial pressure, comorbidities, use of vitamin D supplements or anti-vascular drugs, MMSE, GDS, IADL, serum calcium and vitamin B9 concentrations, creatinine clearance were used as covariables. Results: Participants with vitamin D insufficiency (n=80) had thinner total cingulate thickness than the others (24.6±1.9mm versus 25.3±1.4mm, P=0.001); a significant difference found for all 3 regions. Vitamin D insufficiency was cross-sectionally associated with a decreased total cingulate thickness (β=- 0.49, P=0.028). Serum 25OHD concentration correlated positively with the thickness of perigenual anterior (P=0.011), midcingulate (P=0.013) and posterior cingulate cortex (P=0.021). Conclusion: Vitamin D insufficiency was associated with thinner cingulate cortex in the studied sample of older adults. These findings provide insight into the pathophysiology of cognitive and mobility declines in older adults with vitamin D insufficiency.

Effects of unilateral deactivations of dorsolateral prefrontal cortex and anterior cingulate cortex on saccadic eye movements

2014 ◽  
Vol 111 (4) ◽  
pp. 787-803 ◽  
Author(s):  
Michael J. Koval ◽  
R. Matthew Hutchison ◽  
Stephen G. Lomber ◽  
Stefan Everling
Keyword(s):  
Prefrontal Cortex ◽  
Eye Movements ◽  
Functional Connectivity ◽  
Anterior Cingulate Cortex ◽  
Dorsolateral Prefrontal Cortex ◽  
Saccadic Eye Movements ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Dorsolateral Prefrontal ◽  
Single Neuron Recording

The dorsolateral prefrontal cortex (dlPFC) and anterior cingulate cortex (ACC) have both been implicated in the cognitive control of saccadic eye movements by single neuron recording studies in nonhuman primates and functional imaging studies in humans, but their relative roles remain unclear. Here, we reversibly deactivated either dlPFC or ACC subregions in macaque monkeys while the animals performed randomly interleaved pro- and antisaccades. In addition, we explored the whole-brain functional connectivity of these two regions by applying a seed-based resting-state functional MRI analysis in a separate cohort of monkeys. We found that unilateral dlPFC deactivation had stronger behavioral effects on saccades than unilateral ACC deactivation, and that the dlPFC displayed stronger functional connectivity with frontoparietal areas than the ACC. We suggest that the dlPFC plays a more prominent role in the preparation of pro- and antisaccades than the ACC.

scholarly journals Correlation between Traits of Emotion-Based Impulsivity and Intrinsic Default-Mode Network Activity

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Jizheng Zhao ◽  
Dardo Tomasi ◽  
Corinde E. Wiers ◽  
Ehsan Shokri-Kojori ◽  
Şükrü B. Demiral ◽  
...  
Keyword(s):  
Brain Activity ◽  
Low Frequency ◽  
Cingulate Cortex ◽  
Posterior Cingulate Cortex ◽  
Anterior Cingulate ◽  
Network Activity ◽  
High Risk Behaviors ◽  
Posterior Cingulate ◽  
Healthy Humans ◽  
Dorsolateral Prefrontal

Negative urgency (NU) and positive urgency (PU) are implicated in several high-risk behaviors, such as eating disorders, substance use disorders, and nonsuicidal self-injury behavior. The current study aimed to explore the possible link between trait of urgency and brain activity at rest. We assessed the amplitude of low-frequency fluctuations (ALFF) of the resting-state functional magnetic resonance imaging (fMRI) signal in 85 healthy volunteers. Trait urgency measures were related to ALFF in the lateral orbitofrontal cortex, dorsolateral prefrontal cortex, ventral and dorsal medial frontal cortex, anterior cingulate, and posterior cingulate cortex/precuneus. In addition, trait urgency measures showed significant correlations with the functional connectivity of the posterior cingulate cortex/precuneus seed with the thalamus and midbrain region. These findings suggest an association between intrinsic brain activity and impulsive behaviors in healthy humans.

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