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Gholamipourbarogh N, Eggert E, Münchau A, Frings C, Beste C. EEG tensor decomposition delineates neurophysiological principles underlying conflict-modulated action restraint and action cancellation. Neuroimage 2024; 295:120667. [PMID: 38825216 DOI: 10.1016/j.neuroimage.2024.120667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 05/29/2024] [Accepted: 05/31/2024] [Indexed: 06/04/2024] Open
Abstract
Executive functions are essential for adaptive behavior. One executive function is the so-called 'interference control' or conflict monitoring another one is inhibitory control (i.e., action restraint and action cancelation). Recent evidence suggests an interplay of these processes, which is conceptually relevant given that newer conceptual frameworks imply that nominally different action/response control processes are explainable by a small set of cognitive and neurophysiological processes. The existence of such overarching neural principles has as yet not directly been examined. In the current study, we therefore use EEG tensor decomposition methods, to look into possible common neurophysiological signatures underlying conflict-modulated action restraint and action cancelation as mechanism underlying response inhibition. We show how conflicts differentially modulate action restraint and action cancelation processes and delineate common and distinct neural processes underlying this interplay. Concerning the spatial information modulations are similar in terms of an importance of processes reflected by parieto-occipital electrodes, suggesting that attentional selection processes play a role. Especially theta and alpha activity seem to play important roles. The data also show that tensor decomposition is sensitive to the manner of task implementation, thereby suggesting that switch probability/transitional probabilities should be taken into consideration when choosing tensor decomposition as analysis method. The study provides a blueprint of how to use tensor decomposition methods to delineate common and distinct neural mechanisms underlying action control functions using EEG data.
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Affiliation(s)
- Negin Gholamipourbarogh
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany
| | - Elena Eggert
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany
| | | | - Christian Frings
- Cognitive Psychology, University of Trier, Germany; Institute for Cognitive and Affective Neuroscience (ICAN), University of Trier, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany.
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2
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Xie T, Adamek M, Cho H, Adamo MA, Ritaccio AL, Willie JT, Brunner P, Kubanek J. Graded decisions in the human brain. Nat Commun 2024; 15:4308. [PMID: 38773117 PMCID: PMC11109249 DOI: 10.1038/s41467-024-48342-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 04/26/2024] [Indexed: 05/23/2024] Open
Abstract
Decision-makers objectively commit to a definitive choice, yet at the subjective level, human decisions appear to be associated with a degree of uncertainty. Whether decisions are definitive (i.e., concluding in all-or-none choices), or whether the underlying representations are graded, remains unclear. To answer this question, we recorded intracranial neural signals directly from the brain while human subjects made perceptual decisions. The recordings revealed that broadband gamma activity reflecting each individual's decision-making process, ramped up gradually while being graded by the accumulated decision evidence. Crucially, this grading effect persisted throughout the decision process without ever reaching a definite bound at the time of choice. This effect was most prominent in the parietal cortex, a brain region traditionally implicated in decision-making. These results provide neural evidence for a graded decision process in humans and an analog framework for flexible choice behavior.
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Affiliation(s)
- Tao Xie
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
- National Center for Adaptive Neurotechnologies, St. Louis, MO, 63110, USA
| | - Markus Adamek
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
- National Center for Adaptive Neurotechnologies, St. Louis, MO, 63110, USA
| | - Hohyun Cho
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
- National Center for Adaptive Neurotechnologies, St. Louis, MO, 63110, USA
| | - Matthew A Adamo
- Department of Neurosurgery, Albany Medical College, Albany, NY, 12208, USA
| | - Anthony L Ritaccio
- Department of Neurology, Albany Medical College, Albany, NY, 12208, USA
- Department of Neurology, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Jon T Willie
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA
- National Center for Adaptive Neurotechnologies, St. Louis, MO, 63110, USA
| | - Peter Brunner
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, MO, 63110, USA.
- National Center for Adaptive Neurotechnologies, St. Louis, MO, 63110, USA.
- Department of Neurology, Albany Medical College, Albany, NY, 12208, USA.
| | - Jan Kubanek
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.
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3
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Kubanek J, Snyder LH, Abrams RA. Sensorimotor faculties bias perceptual decision-making. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.14.594024. [PMID: 38798638 PMCID: PMC11118287 DOI: 10.1101/2024.05.14.594024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Decision-making is a deliberate process that seemingly evolves under our own volition. Yet, research on embodied cognition has demonstrated that higher-order cognitive processes may be influenced, in unexpected ways, by properties of motor and sensory systems. Here we tested whether and how simple decisions are influenced by handedness and by asymmetries in the auditory system. Right- and left-handed participants performed an auditory decision task. In the task, subjects decided whether they heard more click sounds in the right ear or in the left ear, and pressed a key with either their right or left index finger, according to an instructed stimulus-key assignment (congruent or reversed). On some trials, there was no stimulus and subjects could choose either of the responses freely. When subjects chose freely, their choices were substantially governed by their handedness: Left-handed subjects were significantly biased to make the leftward choice, whereas right-handed subjects showed a substantial rightward bias. When the choice was governed by the sensory stimulus, subjects showed a rightward choice bias under the congruent key assignment, but this effect reversed to a leftward choice bias under the reversed key assignment. This result indicates a bias towards deciding that there were more clicks presented to the right ear. Together, our findings demonstrate that human choices can be considerably influenced by properties of motor and sensory systems.
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Affiliation(s)
- Jan Kubanek
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84103, USA
| | - Lawrence H Snyder
- Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Richard A Abrams
- Department of Psychology, Washington University in St. Louis, St. Louis, MO 63130, USA
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Ptak R, Bourgeois A. Disengagement of attention with spatial neglect: A systematic review of behavioral and anatomical findings. Neurosci Biobehav Rev 2024; 160:105622. [PMID: 38490498 DOI: 10.1016/j.neubiorev.2024.105622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/10/2024] [Accepted: 03/11/2024] [Indexed: 03/17/2024]
Abstract
The present review examined the consequences of focal brain injury on spatial attention studied with cueing paradigms, with a particular focus on the disengagement deficit, which refers to the abnormal slowing of reactions following an ipsilesional cue. Our review supports the established notion that the disengagement deficit is a functional marker of spatial neglect and is particularly pronounced when elicited by peripheral cues. Recent research has revealed that this deficit critically depends on cues that have task-relevant characteristics or are associated with negative reinforcement. Attentional capture by task-relevant cues is contingent on damage to the right temporo-parietal junction (TPJ) and is modulated by functional connections between the TPJ and the right insular cortex. Furthermore, damage to the dorsal premotor or prefrontal cortex (dPMC/dPFC) reduces the effect of task-relevant cues. These findings support an interactive model of the disengagement deficit, involving the right TPJ, the insula, and the dPMC/dPFC. These interconnected regions play a crucial role in regulating and adapting spatial attention to changing intrinsic values of stimuli in the environment.
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Affiliation(s)
- Radek Ptak
- Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva 1206, Switzerland; Division of Neurorehabilitation, University Hospitals of Geneva, Rue Gabrielle-Perret-Gentil 4, Geneva 1205, Switzerland.
| | - Alexia Bourgeois
- Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva 1206, Switzerland; University of Applied Sciences and Arts of Western Switzerland, School of Health Sciences, Avenue de Champel 47, Geneva 1206, Switzerland
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5
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Kang JU, Mooshagian E, Snyder LH. Functional organization of posterior parietal cortex circuitry based on inferred information flow. Cell Rep 2024; 43:114028. [PMID: 38581681 PMCID: PMC11090617 DOI: 10.1016/j.celrep.2024.114028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 02/09/2024] [Accepted: 03/15/2024] [Indexed: 04/08/2024] Open
Abstract
Many studies infer the role of neurons by asking what information can be decoded from their activity or by observing the consequences of perturbing their activity. An alternative approach is to consider information flow between neurons. We applied this approach to the parietal reach region (PRR) and the lateral intraparietal area (LIP) in posterior parietal cortex. Two complementary methods imply that across a range of reaching tasks, information flows primarily from PRR to LIP. This indicates that during a coordinated reach task, LIP has minimal influence on PRR and rules out the idea that LIP forms a general purpose spatial processing hub for action and cognition. Instead, we conclude that PRR and LIP operate in parallel to plan arm and eye movements, respectively, with asymmetric interactions that likely support eye-hand coordination. Similar methods can be applied to other areas to infer their functional relationships based on inferred information flow.
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Affiliation(s)
- Jung Uk Kang
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Eric Mooshagian
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Lawrence H Snyder
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA
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6
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Ghin F, Eggert E, Gholamipourbarogh N, Talebi N, Beste C. Response stopping under conflict: The integrative role of representational dynamics associated with the insular cortex. Hum Brain Mapp 2024; 45:e26643. [PMID: 38664992 PMCID: PMC11046082 DOI: 10.1002/hbm.26643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 02/02/2024] [Accepted: 02/18/2024] [Indexed: 04/29/2024] Open
Abstract
Coping with distracting inputs during goal-directed behavior is a common challenge, especially when stopping ongoing responses. The neural basis for this remains debated. Our study explores this using a conflict-modulation Stop Signal task, integrating group independent component analysis (group-ICA), multivariate pattern analysis (MVPA), and EEG source localization analysis. Consistent with previous findings, we show that stopping performance is better in congruent (nonconflicting) trials than in incongruent (conflicting) trials. Conflict effects in incongruent trials compromise stopping more due to the need for the reconfiguration of stimulus-response (S-R) mappings. These cognitive dynamics are reflected by four independent neural activity patterns (ICA), each coding representational content (MVPA). It is shown that each component was equally important in predicting behavioral outcomes. The data support an emerging idea that perception-action integration in action-stopping involves multiple independent neural activity patterns. One pattern relates to the precuneus (BA 7) and is involved in attention and early S-R processes. Of note, three other independent neural activity patterns were associated with the insular cortex (BA13) in distinct time windows. These patterns reflect a role in early attentional selection but also show the reiterated processing of representational content relevant for stopping in different S-R mapping contexts. Moreover, the insular cortex's role in automatic versus complex response selection in relation to stopping processes is shown. Overall, the insular cortex is depicted as a brain hub, crucial for response selection and cancellation across both straightforward (automatic) and complex (conditional) S-R mappings, providing a neural basis for general cognitive accounts on action control.
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Affiliation(s)
- Filippo Ghin
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of MedicineTU DresdenDresdenGermany
| | - Elena Eggert
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of MedicineTU DresdenDresdenGermany
| | - Negin Gholamipourbarogh
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of MedicineTU DresdenDresdenGermany
| | - Nasibeh Talebi
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of MedicineTU DresdenDresdenGermany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of MedicineTU DresdenDresdenGermany
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7
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Yu S, Konjusha A, Ziemssen T, Beste C. Inhibitory control in WM gate-opening: Insights from alpha desynchronization and norepinephrine activity under atDCS stimulation. Neuroimage 2024; 289:120541. [PMID: 38360384 DOI: 10.1016/j.neuroimage.2024.120541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 02/12/2024] [Accepted: 02/13/2024] [Indexed: 02/17/2024] Open
Abstract
Our everyday activities require the maintenance and continuous updating of information in working memory (WM). To control this dynamic, WM gating mechanisms have been suggested to be in place, but the neurophysiological mechanisms behind these processes are far from being understood. This is especially the case when it comes to the role of oscillatory neural activity. In the current study we combined EEG recordings, and anodal transcranial direct current stimulation (atDCS) and pupil diameter recordings to triangulate neurophysiology, functional neuroanatomy and neurobiology. The results revealed that atDCS, compared to sham stimulation, affected the WM gate opening mechanism, but not the WM gate closing mechanism. The altered behavioral performance was associated with specific changes in alpha band activities (reflected by alpha desynchronization), indicating a role for inhibitory control during WM gate opening. Functionally, the left superior and inferior parietal cortices, were associated with these processes. The findings are the first to show a causal relevance of alpha desynchronization processes in WM gating processes. Notably, pupil diameter recordings as an indirect index of the norepinephrine (NE) system activity revealed that individuals with stronger inhibitory control (as indexed through alpha desynchronization) showed less pupil dilation, suggesting they needed less NE activity to support WM gate opening. However, when atDCS was applied, this connection disappeared. The study suggests a close link between inhibitory controlled WM gating in parietal cortices, alpha band dynamics and the NE system.
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Affiliation(s)
- Shijing Yu
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Cognitive Neurophysiology, TU Dresden, Fetscherstrasse 74, Dresden 01307, Germany.
| | - Anyla Konjusha
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Cognitive Neurophysiology, TU Dresden, Fetscherstrasse 74, Dresden 01307, Germany
| | - Tjalf Ziemssen
- Department of Neurology, Faculty of Medicine, TU Dresden, Germany
| | - Christian Beste
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Cognitive Neurophysiology, TU Dresden, Fetscherstrasse 74, Dresden 01307, Germany; Faculty of Psychology, Shandong Normal University, Jinan, China
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8
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Jin H, Zhu L, Li M, Duffy VG. Recognition and evaluation of mental workload in different stages of perceptual and cognitive information processing using a multimodal approach. ERGONOMICS 2024; 67:377-397. [PMID: 37289000 DOI: 10.1080/00140139.2023.2223785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 06/06/2023] [Indexed: 06/09/2023]
Abstract
This study explores the effects of different perceptual and cognitive information processing stages on mental workload by assessing multimodal indicators of mental workload such as the NASA-TLX, task performance, ERPs and eye movements. Repeated measures ANOVA of the data showed that among ERP indicators, P1, N1 and N2 amplitudes were sensitive to perceptual load (P-load), P3 amplitude was sensitive to P-load only in the prefrontal region during high cognitive load (C-load) states, and P3 amplitude in the occipital and parietal regions was sensitive to C-load. Among the eye movement indicators, blink frequency was sensitive to P-load in all C-load states, but to C-load in only low P-load states; pupil diameter and blink duration were sensitive to both P-load and C-load. Based on the above indicators, the k-nearest neighbours (KNN) algorithm was used to propose a classification method for the four different mental workload states with an accuracy of 97.89%.Practitioner summary: Based on the results of this study, it is possible to implement the monitoring of mental workload states and optimise brain task allocation in operations involving high mental workload, such as human-computer interaction.
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Affiliation(s)
- Haizhe Jin
- Department of Industrial Engineering, School of Business Administration, Northeastern University, Shenyang, China
| | - Lin Zhu
- Department of Industrial Engineering, School of Business Administration, Northeastern University, Shenyang, China
| | - Mingming Li
- Department of Industrial Engineering, College of Management Science and Engineering, Anhui University of Technology, Ma'anshan, China
| | - Vincent G Duffy
- School of Industrial Engineering, Purdue University, West Lafayette, IN, USA
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9
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Yang J, Ren R, Yu Y, Wang W, Tang X, Ejima Y, Wu J. Event-related potential evidence for tactile orientation processing in the human brain. Exp Brain Res 2024:10.1007/s00221-024-06783-1. [PMID: 38400993 DOI: 10.1007/s00221-024-06783-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 01/15/2024] [Indexed: 02/26/2024]
Abstract
It is well known that information on stimulus orientation plays an important role in sensory processing. However, the neural mechanisms underlying somatosensory orientation perception are poorly understood. Adaptation has been widely used as a tool for examining sensitivity to specific features of sensory stimuli. Using the adaptation paradigm, we measured event-related potentials (ERPs) in response to tactile orientation stimuli presented pseudo-randomly to the right-hand palm in trials with all the same or different orientations. Twenty participants were asked to count the tactile orientation stimuli. The results showed that the adaptation-related N60 component was observed around contralateral central-parietal areas, possibly indicating orientation processing in the somatosensory regions. Conversely, the adaptation-related N120 component was identified bilaterally across hemispheres, suggesting the involvement of the frontoparietal circuitry in further tactile orientation processing. P300 component was found across the whole brain in all conditions and was associated with task demands, such as attention and stimulus counting. These findings help provide an understanding of the mechanisms of tactile orientation processing in the human brain.
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Affiliation(s)
- Jiajia Yang
- Graduate School of Interdisciplinary Science and Engineering in Health Systems,, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan.
| | - Rongxia Ren
- Graduate School of Interdisciplinary Science and Engineering in Health Systems,, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan
| | - Yinghua Yu
- Graduate School of Interdisciplinary Science and Engineering in Health Systems,, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan
| | - Wu Wang
- Multisensory Laboratory, School of Psychological and Cognitive Sciences, Peking University, Beijing, 100871, China
| | - Xiaoyu Tang
- School of Psychology, Liaoning Collaborative Innovation Center of Children and Adolescents Healthy Personality Assessment and Cultivation, Liaoning Normal University, Dalian, 116029, China
| | - Yoshimichi Ejima
- Graduate School of Interdisciplinary Science and Engineering in Health Systems,, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan
| | - Jinglong Wu
- Graduate School of Interdisciplinary Science and Engineering in Health Systems,, Okayama University, 3-1-1 Tsushima-Naka, Kita-ku, Okayama, 700-8530, Japan
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10
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Endress AD. Hebbian learning can explain rhythmic neural entrainment to statistical regularities. Dev Sci 2024:e13487. [PMID: 38372153 DOI: 10.1111/desc.13487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 12/26/2023] [Accepted: 01/29/2024] [Indexed: 02/20/2024]
Abstract
In many domains, learners extract recurring units from continuous sequences. For example, in unknown languages, fluent speech is perceived as a continuous signal. Learners need to extract the underlying words from this continuous signal and then memorize them. One prominent candidate mechanism is statistical learning, whereby learners track how predictive syllables (or other items) are of one another. Syllables within the same word predict each other better than syllables straddling word boundaries. But does statistical learning lead to memories of the underlying words-or just to pairwise associations among syllables? Electrophysiological results provide the strongest evidence for the memory view. Electrophysiological responses can be time-locked to statistical word boundaries (e.g., N400s) and show rhythmic activity with a periodicity of word durations. Here, I reproduce such results with a simple Hebbian network. When exposed to statistically structured syllable sequences (and when the underlying words are not excessively long), the network activation is rhythmic with the periodicity of a word duration and activation maxima on word-final syllables. This is because word-final syllables receive more excitation from earlier syllables with which they are associated than less predictable syllables that occur earlier in words. The network is also sensitive to information whose electrophysiological correlates were used to support the encoding of ordinal positions within words. Hebbian learning can thus explain rhythmic neural activity in statistical learning tasks without any memory representations of words. Learners might thus need to rely on cues beyond statistical associations to learn the words of their native language. RESEARCH HIGHLIGHTS: Statistical learning may be utilized to identify recurring units in continuous sequences (e.g., words in fluent speech) but may not generate explicit memory for words. Exposure to statistically structured sequences leads to rhythmic activity with a period of the duration of the underlying units (e.g., words). I show that a memory-less Hebbian network model can reproduce this rhythmic neural activity as well as putative encodings of ordinal positions observed in earlier research. Direct tests are needed to establish whether statistical learning leads to declarative memories for words.
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Affiliation(s)
- Ansgar D Endress
- Department of Psychology, City, University of London, London, UK
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11
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Marshall TR, Ruesseler M, Hunt LT, O’Reilly JX. The representation of priors and decisions in the human parietal cortex. PLoS Biol 2024; 22:e3002383. [PMID: 38285671 PMCID: PMC10824454 DOI: 10.1371/journal.pbio.3002383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 12/11/2023] [Indexed: 01/31/2024] Open
Abstract
Animals actively sample their environment through orienting actions such as saccadic eye movements. Saccadic targets are selected based both on sensory evidence immediately preceding the saccade, and a "salience map" or prior built-up over multiple saccades. In the primate cortex, the selection of each individual saccade depends on competition between target-selective cells that ramp up their firing rate to saccade release. However, it is less clear how a cross-saccade prior might be implemented, either in neural firing or through an activity-silent mechanism such as modification of synaptic weights on sensory inputs. Here, we present evidence from magnetoencephalography for 2 distinct processes underlying the selection of the current saccade, and the representation of the prior, in human parietal cortex. While the classic ramping decision process for each saccade was reflected in neural firing rates (measured in the event-related field), a prior built-up over multiple saccades was implemented via modulation of the gain on sensory inputs from the preferred target, as evidenced by rapid frequency tagging. A cascade of computations over time (initial representation of the prior, followed by evidence accumulation and then an integration of prior and evidence) provides a mechanism by which a salience map may be built up across saccades in parietal cortex. It also provides insight into the apparent contradiction that inactivation of parietal cortex has been shown not to affect performance on single-trials, despite the presence of clear evidence accumulation signals in this region.
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Affiliation(s)
- Tom R. Marshall
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, United Kingdom
- Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, Oxford University, Oxford, United Kingdom
| | - Maria Ruesseler
- Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, Oxford University, Oxford, United Kingdom
| | - Laurence T. Hunt
- Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, Oxford University, Oxford, United Kingdom
| | - Jill X. O’Reilly
- Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, Oxford University, Oxford, United Kingdom
- Wellcome Centre for Integrative Neuroimaging, Nuffield Department for Clinical Neurosciences, Oxford University, Oxford, United Kingdom
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12
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Geissler CF, Schöpper LM, Engesser AF, Beste C, Münchau A, Frings C. Turning the Light Switch on Binding: Prefrontal Activity for Binding and Retrieval in Action Control. J Cogn Neurosci 2024; 36:95-106. [PMID: 37847814 DOI: 10.1162/jocn_a_02071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
According to action control theories, responding to a stimulus leads to the binding of response and stimulus features into a common representation, that is, an event file. Repeating any component of an event file retrieves all previously bound information, leading to performance costs for partial repetitions measured in so-called binding effects. Although otherwise robust and stable, binding effects are typically completely absent in "localization tasks," in which participants localize targets with spatially compatible responses. Yet, it is possible to observe binding effects in such when location features have to be translated into response features. We hypothesized that this modulation of binding effects is reflected in task involvement of the dorsolateral pFC (DLPFC). Participants localized targets with either direct (i.e., spatially compatible key) or translated (i.e., diagonally opposite to the spatially compatible key) responses. We measured DLPFC activity with functional near-infrared spectroscopy. On the behavioral level, we observed binding effects in the translated response condition, but not in the direct response condition. Importantly, prefrontal activity was also higher in the translated mapping condition. In addition, we found some evidence for the strength of the difference in binding effects in behavioral data being correlated with the corresponding effects in prefrontal activity. This suggests that activity in the DLPFC reflects the amount of executive control needed for translating location features into responses. More generally, binding effects seem to emerge only when the task at hand involves DLPFC recruitment.
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13
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Beffara B, Hadj‐Bouziane F, Hamed SB, Boehler CN, Chelazzi L, Santandrea E, Macaluso E. Separate and overlapping mechanisms of statistical regularities and salience processing in the occipital cortex and dorsal attention network. Hum Brain Mapp 2023; 44:6439-6458. [PMID: 37877138 PMCID: PMC10681649 DOI: 10.1002/hbm.26520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 09/15/2023] [Accepted: 10/05/2023] [Indexed: 10/26/2023] Open
Abstract
Attention selects behaviorally relevant inputs for in-depth processing. Beside the role of traditional signals related to goal-directed and stimulus-driven control, a debate exists regarding the mechanisms governing the effect of statistical regularities on attentional selection, and how these are integrated with other control signals. Using a visuo-spatial search task under fMRI, we tested the joint effects of statistical regularities and stimulus-driven salience. We found that both types of signals modulated occipital activity in a spatially specific manner. Salience acted primarily by reducing the attention bias towards the target location when associated with irrelevant distractors, while statistical regularities reduced this attention bias when the target was presented at a low probability location, particularly at the lower levels of the visual hierarchy. In addition, we found that both statistical regularities and salience activated the dorsal frontoparietal network. Additional exploratory analyses of functional connectivity revealed that only statistical regularities modulated the inter-regional coupling between the posterior parietal cortex and the occipital cortex. These results show that statistical regularities and salience signals are both spatially represented at the occipital level, but that their integration into attentional processing priorities relies on dissociable brain mechanisms.
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Affiliation(s)
- Bertrand Beffara
- Centre de Recherche en Neurosciences de Lyon (CRNL)Université Claude Bernard Lyon 1, CNRS, INSERMBronFrance
| | - Fadila Hadj‐Bouziane
- Centre de Recherche en Neurosciences de Lyon (CRNL)Université Claude Bernard Lyon 1, CNRS, INSERMBronFrance
| | - Suliann Ben Hamed
- Institut des Sciences Cognitives Marc Jeannerod, Lyon, UMR5229, CNRSUniversité de LyonLyonFrance
| | - C. Nico Boehler
- Department of Experimental PsychologyGhent UniversityGhentBelgium
| | - Leonardo Chelazzi
- Department of Neuroscience, Biomedicine, and Movement SciencesUniversity of VeronaVeronaItaly
| | - Elisa Santandrea
- Department of Neuroscience, Biomedicine, and Movement SciencesUniversity of VeronaVeronaItaly
| | - Emiliano Macaluso
- Centre de Recherche en Neurosciences de Lyon (CRNL)Université Claude Bernard Lyon 1, CNRS, INSERMBronFrance
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14
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Ferrante O, Chelazzi L, Santandrea E. Statistical learning of target and distractor spatial probability shape a common attentional priority computation. Cortex 2023; 169:95-117. [PMID: 37866062 DOI: 10.1016/j.cortex.2023.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 06/27/2023] [Accepted: 08/22/2023] [Indexed: 10/24/2023]
Abstract
Converging evidence recently put forward the notion that dedicated neurocognitive mechanisms do exist for the suppression of salient, but irrelevant distractors. Along this line, it is plausible to hypothesize that, in appropriate contexts, experience-dependent forms of attentional learning might selectively induce plastic changes within this dedicated circuitry, thus allowing an independent shaping of priorities at the service of attentional filtering. Conversely, previous work suggested that statistical learning (SL) of both target and distractor spatial probability distributions converge in adjusting only the overall attentional priority of locations: in fact, in the presence of an independent manipulation, either related to the target or to the distractor only, SL induces indirect effects (e.g., changes in filtering efficiency due to an uneven distribution of targets), suggesting that SL-induced plastic changes affect a shared neural substrate. Here we tested whether, when (conflicting) target- and distractor-related manipulations are concurrently applied to the very same locations, dedicated mechanisms might support the selective encoding of spatial priority in relation to the specific attentional operation involved. In three related experiments, human healthy participants discriminated the direction of a target arrow, while ignoring a salient distractor, if present; both target and distractor spatial probability distributions were concurrently manipulated in relation to each single location. Critically, the selection bias produced by the target-related SL was marginally reduced by an adverse distractor contingency, and the suppression bias generated by the distractor-related SL was erased, or even reversed, by an adverse target contingency. Our results suggest that even conflicting target- and distractor-related SL manipulations result in the adjustment of a unique spatial priority computation, likely because the process directly relies on direct plastic alterations of shared spatial priority map(s).
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Affiliation(s)
- Oscar Ferrante
- Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Leonardo Chelazzi
- Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Italy; National Institute of Neuroscience - Verona Unit, Verona, Italy.
| | - Elisa Santandrea
- Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Italy
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15
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Pscherer C, Wendiggensen P, Mückschel M, Bluschke A, Beste C. Alpha and theta band activity share information relevant to proactive and reactive control during conflict-modulated response inhibition. Hum Brain Mapp 2023; 44:5936-5952. [PMID: 37728249 PMCID: PMC10619371 DOI: 10.1002/hbm.26486] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 07/28/2023] [Accepted: 09/04/2023] [Indexed: 09/21/2023] Open
Abstract
Response inhibition is an important instance of cognitive control and can be complicated by perceptual conflict. The neurophysiological mechanisms underlying these processes are still not understood. Especially the relationship between neural processes directly preceding cognitive control (proactive control) and processes underlying cognitive control (reactive control) has not been examined although there should be close links. In the current study, we investigate these aspects in a sample of N = 50 healthy adults. Time-frequency and beamforming approaches were applied to analyze the interrelation of brain states before (pre-trial) and during (within-trial) cognitive control. The behavioral data replicate a perceptual conflict-dependent modulation of response inhibition. During the pre-trial period, insular, inferior frontal, superior temporal, and precentral alpha activity was positively correlated with theta activity in the same regions and the superior frontal gyrus. Additionally, participants with a stronger pre-trial alpha activity in the primary motor cortex showed a stronger (within-trial) conflict effect in the theta band in the primary motor cortex. This theta conflict effect was further related to a stronger theta conflict effect in the midcingulate cortex until the end of the trial. The temporal cascade of these processes suggests that successful proactive preparation (anticipatory information gating) entails a stronger reactive processing of the conflicting stimulus information likely resulting in a realization of the need to adapt the current action plan. The results indicate that theta and alpha band activity share and transfer aspects of information when it comes to the interrelationship between proactive and reactive control during conflict-modulated motor inhibition.
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Affiliation(s)
- Charlotte Pscherer
- Cognitive Neurophysiology, Department of Child and Adolescent PsychiatryFaculty of Medicine of the TU DresdenDresdenGermany
- University Neuropsychology CenterFaculty of Medicine, TU DresdenDresdenGermany
| | - Paul Wendiggensen
- Cognitive Neurophysiology, Department of Child and Adolescent PsychiatryFaculty of Medicine of the TU DresdenDresdenGermany
- University Neuropsychology CenterFaculty of Medicine, TU DresdenDresdenGermany
| | - Moritz Mückschel
- Cognitive Neurophysiology, Department of Child and Adolescent PsychiatryFaculty of Medicine of the TU DresdenDresdenGermany
- University Neuropsychology CenterFaculty of Medicine, TU DresdenDresdenGermany
| | - Annet Bluschke
- Cognitive Neurophysiology, Department of Child and Adolescent PsychiatryFaculty of Medicine of the TU DresdenDresdenGermany
- University Neuropsychology CenterFaculty of Medicine, TU DresdenDresdenGermany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent PsychiatryFaculty of Medicine of the TU DresdenDresdenGermany
- University Neuropsychology CenterFaculty of Medicine, TU DresdenDresdenGermany
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16
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Banaj N, Vecchio D, Piras F, De Rossi P, Bustillo J, Ciufolini S, Dazzan P, Di Forti M, Dickie EW, Ford JM, Fuentes-Claramonte P, Gruber O, Guerrero-Pedraza A, Hamilton HK, Howells FM, Kraemer B, Lawrie SM, Mathalon DH, Murray R, Pomarol-Clotet E, Potkin SG, Preda A, Radua J, Richter A, Salvador R, Sawa A, Scheffler F, Sim K, Spaniel F, Stein DJ, Temmingh HS, Thomopoulos SI, Tomecek D, Uhlmann A, Voineskos A, Yang K, Jahanshad N, Thompson PM, Van Erp TGM, Turner JA, Spalletta G, Piras F. Cortical morphology in patients with the deficit and non-deficit syndrome of schizophrenia: a worldwide meta- and mega-analyses. Mol Psychiatry 2023; 28:4363-4373. [PMID: 37644174 PMCID: PMC10827665 DOI: 10.1038/s41380-023-02221-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 08/02/2023] [Accepted: 08/07/2023] [Indexed: 08/31/2023]
Abstract
Converging evidence suggests that schizophrenia (SZ) with primary, enduring negative symptoms (i.e., Deficit SZ (DSZ)) represents a distinct entity within the SZ spectrum while the neurobiological underpinnings remain undetermined. In the largest dataset of DSZ and Non-Deficit (NDSZ), we conducted a meta-analysis of data from 1560 individuals (168 DSZ, 373 NDSZ, 1019 Healthy Controls (HC)) and a mega-analysis of a subsampled data from 944 individuals (115 DSZ, 254 NDSZ, 575 HC) collected across 9 worldwide research centers of the ENIGMA SZ Working Group (8 in the mega-analysis), to clarify whether they differ in terms of cortical morphology. In the meta-analysis, sites computed effect sizes for differences in cortical thickness and surface area between SZ and control groups using a harmonized pipeline. In the mega-analysis, cortical values of individuals with schizophrenia and control participants were analyzed across sites using mixed-model ANCOVAs. The meta-analysis of cortical thickness showed a converging pattern of widespread thinner cortex in fronto-parietal regions of the left hemisphere in both DSZ and NDSZ, when compared to HC. However, DSZ have more pronounced thickness abnormalities than NDSZ, mostly involving the right fronto-parietal cortices. As for surface area, NDSZ showed differences in fronto-parietal-temporo-occipital cortices as compared to HC, and in temporo-occipital cortices as compared to DSZ. Although DSZ and NDSZ show widespread overlapping regions of thinner cortex as compared to HC, cortical thinning seems to better typify DSZ, being more extensive and bilateral, while surface area alterations are more evident in NDSZ. Our findings demonstrate for the first time that DSZ and NDSZ are characterized by different neuroimaging phenotypes, supporting a nosological distinction between DSZ and NDSZ and point toward the separate disease hypothesis.
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Affiliation(s)
- Nerisa Banaj
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy.
| | - Daniela Vecchio
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Fabrizio Piras
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Pietro De Rossi
- Child and Adolescence Neuropsychiatry Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Juan Bustillo
- Psichiatry and Neuroscience, University of New Mexico, Albuquerque, NM, USA
| | - Simone Ciufolini
- Psychosis Studies, Institute of Psychiatry, Psychology and Neurology, King's College London, London, UK
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neurology, King's College London, London, UK
| | - Marta Di Forti
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neurology, King's College London, London, UK
| | - Erin W Dickie
- Center for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Kimel Family Lab, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Judith M Ford
- San Francisco VA Health Care System, San Francisco, CA, USA
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Paola Fuentes-Claramonte
- FIMDAG Sisters Hospitallers Research Foundation, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Baden-Wuerttemberg, Germany
| | | | - Holly K Hamilton
- San Francisco VA Health Care System, San Francisco, CA, USA
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Fleur M Howells
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, Western Cape, South Africa
| | - Bernd Kraemer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Baden-Wuerttemberg, Germany
| | - Stephen M Lawrie
- Division of Psychiatry, University of Edinburgh, Edinburg, EH10 5HF, UK
| | - Daniel H Mathalon
- San Francisco VA Health Care System, San Francisco, CA, USA
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Robin Murray
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neurology, King's College London, London, UK
| | - Edith Pomarol-Clotet
- FIMDAG Sisters Hospitallers Research Foundation, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Steven G Potkin
- Department of Psychiatry, University of California Irvine, Newfoundland, NJ, NJ 07435, USA
| | - Adrian Preda
- Psychiatry and Human Behavior, University of California Irvine, Orange, CA, 92868, USA
| | - Joaquim Radua
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Imaging of mood- and anxiety-related disorders (IMARD), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, 08036, Spain
- Medicina, University of Barcelona, Barcelona, 08036, Spain
| | - Anja Richter
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Baden-Wuerttemberg, Germany
| | - Raymond Salvador
- FIMDAG Sisters Hospitallers Research Foundation, Barcelona, Spain
| | - Akira Sawa
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Genetic Medicine, Johns Hopkins University School of Medicine Baltimore, Baltimore, MD, USA
- Department of Pharmacology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Freda Scheffler
- Department of Psychiatry and Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Brain Behavior Unit, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Kang Sim
- West Region, Institute of Mental Health, National Healthcare Group, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Filip Spaniel
- CARE, National Institute of Mental Health, Klecany, Czech Republic
| | - Dan J Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Henk S Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, Western Cape, South Africa
- Department of Psychiatry and Mental Health, Valkenberg Psychiatric Hospital, Cape Town, Western Cape, South Africa
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - David Tomecek
- CARE, National Institute of Mental Health, Klecany, Czech Republic
| | - Anne Uhlmann
- Department of child and adolescent psychiatry, TU Dresden, Dresden, Saxony, Germany
| | - Aristotle Voineskos
- Center for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Temerty Faculty of Medicine, Toronto, ON, Canada
| | - Kun Yang
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Theo G M Van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA, USA
| | - Jessica A Turner
- Department of Psychiatry and Behavioral Health, Wexner Medical Center, The Ohio State University, Columbus, OH, USA
| | - Gianfranco Spalletta
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Federica Piras
- Neuropsychiatry Laboratory, Department of Clinical Neuroscience and Neurorehabilitation, IRCCS Santa Lucia Foundation, Rome, Italy
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17
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Burkhardt M, Bergelt J, Gönner L, Dinkelbach HÜ, Beuth F, Schwarz A, Bicanski A, Burgess N, Hamker FH. A large-scale neurocomputational model of spatial cognition integrating memory with vision. Neural Netw 2023; 167:473-488. [PMID: 37688954 DOI: 10.1016/j.neunet.2023.08.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 06/29/2023] [Accepted: 08/20/2023] [Indexed: 09/11/2023]
Abstract
We introduce a large-scale neurocomputational model of spatial cognition called 'Spacecog', which integrates recent findings from mechanistic models of visual and spatial perception. As a high-level cognitive ability, spatial cognition requires the processing of behaviourally relevant features in complex environments and, importantly, the updating of this information during processes of eye and body movement. The Spacecog model achieves this by interfacing spatial memory and imagery with mechanisms of object localisation, saccade execution, and attention through coordinate transformations in parietal areas of the brain. We evaluate the model in a realistic virtual environment where our neurocognitive model steers an agent to perform complex visuospatial tasks. Our modelling approach opens up new possibilities in the assessment of neuropsychological data and human spatial cognition.
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Affiliation(s)
| | - Julia Bergelt
- Chemnitz University of Technology, 09107, Chemnitz Germany.
| | - Lorenz Gönner
- Technische Universität Dresden, Faculty of Psychology, 01062, Dresden Germany; Technische Universität Dresden, Department of Psychiatry, 01307, Dresden Germany.
| | | | - Frederik Beuth
- Chemnitz University of Technology, 09107, Chemnitz Germany.
| | - Alex Schwarz
- Chemnitz University of Technology, 09107, Chemnitz Germany.
| | - Andrej Bicanski
- Newcastle University, NE1 7RU, Newcastle upon Tyne United Kingdom.
| | - Neil Burgess
- University College London, WC1E 6BT, London United Kingdom.
| | - Fred H Hamker
- Chemnitz University of Technology, 09107, Chemnitz Germany.
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18
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Guo T, Schwieter JW, Liu H. fMRI reveals overlapping and non-overlapping neural bases of domain-general and emotional conflict control. Psychophysiology 2023; 60:e14355. [PMID: 37254582 DOI: 10.1111/psyp.14355] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 04/05/2023] [Accepted: 05/17/2023] [Indexed: 06/01/2023]
Abstract
The present study uses functional magnetic resonance image (fMRI) to examine the overlapping and specific neural correlates of contextualized emotional conflict control and domain-general conflict control. During a performance on emotional and domain-general conflict tasks, conjunction analyses showed that neural areas distributed in the frontoparietal network were engaged in both processes, supporting the notion that similar neural mechanisms are implemented in these two types of control. Importantly, disjunction analyses revealed a broader neural recruitment of emotional conflict control compared to domain-general conflict control as shown by the possible lateralization of the lateral prefrontal cortex (lPFC), such that emotional conflict control significantly involved the left lPFC while domain-general conflict control seemly involved the right lPFC. Results of generalized psychophysiological interaction (gPPI) analyses further demonstrated that emotional conflict control, compared to domain-general conflict control, elicited broader synergistic activities in individuals' brain networks. Together, these findings offer novel and compelling neural evidence that furthers our understanding of the complex relationship between domain-general and emotional conflict control.
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Affiliation(s)
- Tingting Guo
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, China
| | - John W Schwieter
- Language Acquisition, Cognition, and Multilingualism Laboratory, Bilingualism Matters @ Wilfrid Laurier University, Waterloo, Ontario, Canada
- Department of Linguistics and Languages, McMaster University, Hamilton, Ontario, Canada
| | - Huanhuan Liu
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, China
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19
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Yeo SS, Jang TS, Yun SH. Sensorimotor adaptation in spatial orientation task: a fNIRS study. Sci Rep 2023; 13:15160. [PMID: 37704674 PMCID: PMC10499899 DOI: 10.1038/s41598-023-42416-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 09/10/2023] [Indexed: 09/15/2023] Open
Abstract
In sensorimotor conflicts, the brain forms and updates a new sensorimotor relationship through sensorimotor integration. As humans adapt to new sensorimotor mapping, goal-directed movements become increasingly precise. Using functional near-infrared spectroscopy, we investigated the changes in cortical activity during sensorimotor adaptation in a spatial orientation task with sensorimotor conflict. Individuals performed a reversed spatial orientation training in which the visual feedback guiding hand movements was reversed. We measured cortical activity and spatial orientation performance, including the response time, completion number, error, and accuracy. The results revealed the continuous activation in the left SMG during sensorimotor adaptation and decreased activation in the right SAC, AG and SMG after sensorimotor adaptation. These findings indicated the contribution of the left SMG to sensorimotor adaptation and the improved efficiency of cortical activity after sensorimotor adaptation, respectively. Our studies suggest the neural mechanisms related to sensorimotor adaptation to a reversed spatial orientation task.
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Affiliation(s)
- Sang Seok Yeo
- Department of Physical Therapy, College of Health and Welfare Sciences, Dankook University, Cheonan, Chungcheongnam-do, Republic of Korea
| | - Tae Su Jang
- Department of Health Administration, College of Health and Welfare Sciences, Dankook University, Cheonan, Chungcheongnam-do, Republic of Korea
| | - Seong Ho Yun
- Department of Public Health Sciences, Graduate School, Dankook University, Cheonan, Chungcheongnam-do, Republic of Korea.
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20
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Kang JU. Information processing in the dorsal pathway: from "where" to "what we do with it". J Neurophysiol 2023; 130:1-4. [PMID: 37283456 PMCID: PMC10292963 DOI: 10.1152/jn.00073.2023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/30/2023] [Accepted: 05/31/2023] [Indexed: 06/08/2023] Open
Abstract
Visual processing in the brain has been understood as the ventral and dorsal pathways processing "what" and "where" information, respectively. Mocz et al. (Mocz V, Vaziri-Pashkam M, Chun M, Xu Y. J Cogn Neurosci 34: 2406-2435, 2022), however, report that the two pathways code object features in a parallel manner. These results support that information processing in the dorsal pathway is not strictly limited to "where" and that the two pathways work in parallel to process task-relevant information ("what we do with it").
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Affiliation(s)
- Jung Uk Kang
- Department of Neuroscience, Washington University School of Medicine, St. Louis, Missouri, United States
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21
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Zhang Y, Ye Q, He H, Jin R, Peng W. Neurocognitive Mechanisms Underlying Attention Bias Towards Pain: Evidence From a Drift-Diffusion Model and Event-Related Potentials. THE JOURNAL OF PAIN 2023; 24:1307-1320. [PMID: 36921747 DOI: 10.1016/j.jpain.2023.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/15/2023]
Abstract
Although combining computational modeling with event-related potentials (ERPs) can precisely characterize neurocognitive processes involved in attention bias, it has yet to be applied in the context of pain. Here, a hierarchical drift-diffusion model (DDM) along with ERPs was used to characterize the neurocognitive mechanisms underlying attention bias towards pain. A spatial cueing paradigm was adopted, in which the locations of targets were either validly or invalidly predicted by spatial cues related to pain or nonpain signals. DDM-derived nondecision time was shorter for targets validly cued by pain signals than by nonpain signals, thus indicating speeded attention engagement towards pain; drift rate was slower for targets invalidly cued by pain signals than by nonpain signals, reflecting slower attention disengagement from pain. The facilitated engagement towards pain was partially mediated by the enhanced lateralization of cue-evoked N1 amplitudes, which relate to the bottom-up, stimulus-driven processes of detecting threatening signals. On the other hand, the retarded disengagement from pain was partially mediated by the enhanced target-evoked anterior N2 amplitudes, which relate to the top-down, goal-driven processes of conflict monitoring and behavior regulating. These results demonstrated that engagement and disengagement components of pain-related attention bias are governed by distinct neurocognitive mechanisms. However, it remains possible that the findings are not pain-specific, but rather, are related to threat or aversiveness in general. This deserves to be further examined by adding a control stimulus modality. PERSPECTIVE: This study characterized the neurocognitive processes involved in attention bias towards pain through combining a hierarchical DDM and ERPs. Our results revealed distinctive neurocognitive mechanisms underlying engagement and disengagement components of attention bias. Future studies are warranted to examine whether our findings are pain-specific or not.
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Affiliation(s)
- Yinhua Zhang
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Qian Ye
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Hao He
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Richu Jin
- Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China; Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Weiwei Peng
- School of Psychology, Shenzhen University, Shenzhen, China.
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22
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Konjusha A, Yu S, Mückschel M, Colzato L, Ziemssen T, Beste C. Auricular Transcutaneous Vagus Nerve Stimulation Specifically Enhances Working Memory Gate Closing Mechanism: A System Neurophysiological Study. J Neurosci 2023; 43:4709-4724. [PMID: 37221097 PMCID: PMC10286950 DOI: 10.1523/jneurosci.2004-22.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 04/24/2023] [Accepted: 04/30/2023] [Indexed: 05/25/2023] Open
Abstract
Everyday tasks and goal-directed behavior involve the maintenance and continuous updating of information in working memory (WM). WM gating reflects switches between these two core states. Neurobiological considerations suggest that the catecholaminergic and the GABAergic are likely involved in these dynamics. Both of these neurotransmitter systems likely underlie the effects to auricular transcutaneous vagus nerve stimulation (atVNS). We examine the effects of atVNS on WM gating dynamics and their underlying neurophysiological and neurobiological processes in a randomized crossover study design in healthy humans of both sexes. We show that atVNS specifically modulates WM gate closing and thus specifically modulates neural mechanisms enabling the maintenance of information in WM. WM gate opening processes were not affected. atVNS modulates WM gate closing processes through the modulation of EEG alpha band activity. This was the case for clusters of activity in the EEG signal referring to stimulus information, motor response information, and fractions of information carrying stimulus-response mapping rules during WM gate closing. EEG-beamforming shows that modulations of activity in fronto-polar, orbital, and inferior parietal regions are associated with these effects. The data suggest that these effects are not because of modulations of the catecholaminergic (noradrenaline) system as indicated by lack of modulatory effects in pupil diameter dynamics, in the inter-relation of EEG and pupil diameter dynamics and saliva markers of noradrenaline activity. Considering other findings, it appears that a central effect of atVNS during cognitive processing refers to the stabilization of information in neural circuits, putatively mediated via the GABAergic system.SIGNIFICANCE STATEMENT Goal-directed behavior depends on how well information in short-term memory can be flexibly updated but also on how well it can be shielded from distraction. These two functions were guarded by a working memory gate. We show how an increasingly popular brain stimulation techniques specifically enhances the ability to close the working memory gate to shield information from distraction. We show what physiological and anatomic aspects underlie these effects.
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Affiliation(s)
- Anyla Konjusha
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden 01307, Germany
| | - Shijing Yu
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden 01307, Germany
| | - Moritz Mückschel
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden 01307, Germany
| | - Lorenza Colzato
- Faculty of Psychology, Shandong Normal University, Jinan 250014, China
| | - Tjalf Ziemssen
- Department of Neurology, Faculty of Medicine, MS Centre, TU Dresden, Dresden 01307, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden 01307, Germany
- Faculty of Psychology, Shandong Normal University, Jinan 250014, China
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23
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Yawata Y, Shikano Y, Ogasawara J, Makino K, Kashima T, Ihara K, Yoshimoto A, Morikawa S, Yagishita S, Tanaka KF, Ikegaya Y. Mesolimbic dopamine release precedes actively sought aversive stimuli in mice. Nat Commun 2023; 14:2433. [PMID: 37106002 PMCID: PMC10140067 DOI: 10.1038/s41467-023-38130-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 04/17/2023] [Indexed: 04/29/2023] Open
Abstract
In some models, animals approach aversive stimuli more than those housed in an enriched environment. Here, we found that male mice in an impoverished and unstimulating (i.e., boring) chamber without toys sought aversive air puffs more often than those in an enriched chamber. Using this animal model, we identified the insular cortex as a regulator of aversion-seeking behavior. Activation and inhibition of the insular cortex increased and decreased the frequencies of air-puff self-stimulation, respectively, and the firing patterns of insular neuron ensembles predicted the self-stimulation timing. Dopamine levels in the ventrolateral striatum decreased with passive air puffs but increased with actively sought puffs. Around 20% of mice developed intense self-stimulation despite being offered toys, which was prevented by administering opioid receptor antagonists. This study establishes a basis for comprehending the neural underpinnings of usually avoided stimulus-seeking behaviors.
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Affiliation(s)
- Yosuke Yawata
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Yu Shikano
- Division of Brain Science, Keio University School of Medicine, Tokyo, 160-8582, Japan
| | - Jun Ogasawara
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Kenichi Makino
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Tetsuhiko Kashima
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Keiko Ihara
- Division of Brain Science, Keio University School of Medicine, Tokyo, 160-8582, Japan
| | - Airi Yoshimoto
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Shota Morikawa
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, 113-0033, Japan
- Institute for AI and Beyond, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Sho Yagishita
- Center for Disease Biology and Integrative Medicine, Faculty of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Kenji F Tanaka
- Division of Brain Science, Keio University School of Medicine, Tokyo, 160-8582, Japan
| | - Yuji Ikegaya
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, 113-0033, Japan.
- Institute for AI and Beyond, The University of Tokyo, Tokyo, 113-0033, Japan.
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, Osaka, 565-0871, Japan.
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24
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Wendiggensen P, Beste C. How Intermittent Brain States Modulate Neurophysiological Processes in Cognitive Flexibility. J Cogn Neurosci 2023; 35:749-764. [PMID: 36724399 DOI: 10.1162/jocn_a_01970] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Cognitive flexibility is an essential facet of everyday life, for example, when switching between different tasks. Neurophysiological accounts on cognitive flexibility have often focused on the task switch itself, disregarding preceding processes and the possible impact of "brain states" before engaging in cognitive flexibility. In a combined working memory/task-switching paradigm, we examined how neuronal processes during cognitive flexibility are interrelated to preceding neuronal processes across time and brain regions in a sample of n = 42 healthy adults. The interrelation of alpha- and theta-band-related processes over brain states ahead and during response selection was investigated on a functional neuroanatomical level using EEG-beamforming. The results showed that response selection processes (reflected by theta-band activity) seem to be strongly connected to "idling" and preparatory brain activity states (in both the theta- and alpha-band). Notably, the superior parietal cortex seems to play a crucial role by assembling alpha-band-related inhibitory processes from the rule- and goal-based actions during "idling" brain states, namely, short-term maintenance of rules (temporal cortex), task-set reconfiguration (superior frontal/precentral regions), and perceptual control (occipital cortex). This information is further relayed to response selection processes associated with theta-band activity. Notably, when the task has to be switched, theta-band activity in the superior frontal gyrus indicates a need for cognitive control in the "idling" brain state, which also seems to be relayed by BA7. The results indicate the importance of brain activity states ahead of response selection processes for cognitive flexibility.
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25
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Bartsch MV, Merkel C, Strumpf H, Schoenfeld MA, Tsotsos JK, Hopf JM. A cortical zoom-in operation underlies covert shifts of visual spatial attention. SCIENCE ADVANCES 2023; 9:eade7996. [PMID: 36888705 PMCID: PMC9995033 DOI: 10.1126/sciadv.ade7996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
Shifting the focus of attention without moving the eyes poses challenges for signal coding in visual cortex in terms of spatial resolution, signal routing, and cross-talk. Little is known how these problems are solved during focus shifts. Here, we analyze the spatiotemporal dynamic of neuromagnetic activity in human visual cortex as a function of the size and number of focus shifts in visual search. We find that large shifts elicit activity modulations progressing from highest (IT) through mid-level (V4) to lowest hierarchical levels (V1). Smaller shifts cause those modulations to start at lower levels in the hierarchy. Successive shifts involve repeated backward progressions through the hierarchy. We conclude that covert focus shifts arise from a cortical coarse-to-fine process progressing from retinotopic areas with larger toward areas with smaller receptive fields. This process localizes the target and increases the spatial resolution of selection, which resolves the above issues of cortical coding.
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Affiliation(s)
- Mandy V. Bartsch
- Leibniz-Institute for Neurobiology, Magdeburg, Germany
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Netherlands
| | - Christian Merkel
- Leibniz-Institute for Neurobiology, Magdeburg, Germany
- Otto-von-Guericke University, Magdeburg, Germany
| | | | - Mircea A. Schoenfeld
- Leibniz-Institute for Neurobiology, Magdeburg, Germany
- Otto-von-Guericke University, Magdeburg, Germany
- Kliniken Schmieder, Heidelberg, Germany
| | - John K. Tsotsos
- Department of Electrical Engineering and Computer Science, York University, Toronto, Canada
- Centre for Innovation in Computing at Lassonde, York University, Toronto, Canada
- Centre for Vision Research, York University, Toronto, Canada
- Department of Computer Science, University of Toronto, Canada
| | - Jens-Max Hopf
- Leibniz-Institute for Neurobiology, Magdeburg, Germany
- Otto-von-Guericke University, Magdeburg, Germany
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26
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Ziminski JJ, Frangou P, Karlaftis VM, Emir U, Kourtzi Z. Microstructural and neurochemical plasticity mechanisms interact to enhance human perceptual decision-making. PLoS Biol 2023; 21:e3002029. [PMID: 36897881 PMCID: PMC10032544 DOI: 10.1371/journal.pbio.3002029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 03/22/2023] [Accepted: 02/08/2023] [Indexed: 03/11/2023] Open
Abstract
Experience and training are known to boost our skills and mold the brain's organization and function. Yet, structural plasticity and functional neurotransmission are typically studied at different scales (large-scale networks, local circuits), limiting our understanding of the adaptive interactions that support learning of complex cognitive skills in the adult brain. Here, we employ multimodal brain imaging to investigate the link between microstructural (myelination) and neurochemical (GABAergic) plasticity for decision-making. We test (in males, due to potential confounding menstrual cycle effects on GABA measurements in females) for changes in MRI-measured myelin, GABA, and functional connectivity before versus after training on a perceptual decision task that involves identifying targets in clutter. We demonstrate that training alters subcortical (pulvinar, hippocampus) myelination and its functional connectivity to visual cortex and relates to decreased visual cortex GABAergic inhibition. Modeling interactions between MRI measures of myelin, GABA, and functional connectivity indicates that pulvinar myelin plasticity interacts-through thalamocortical connectivity-with GABAergic inhibition in visual cortex to support learning. Our findings propose a dynamic interplay of adaptive microstructural and neurochemical plasticity in subcortico-cortical circuits that supports learning for optimized decision-making in the adult human brain.
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Affiliation(s)
- Joseph J Ziminski
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Polytimi Frangou
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Vasilis M Karlaftis
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Uzay Emir
- Purdue University School of Health Sciences, West Lafayette, Indiana, United States of America
| | - Zoe Kourtzi
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
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27
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Biassoni E, Kreshpa W, Massa F, D'Amico F, Bauckneht M, Arnaldi D, Pardini M, Orso B, Girtler N, Brugnolo A, Morbelli S, Tinazzi M, Nobili F, Mattioli P. Right posterior hypometabolism in Pisa syndrome of Parkinson’s disease: A key to explain body schema perception deficit? Parkinsonism Relat Disord 2023; 110:105371. [PMID: 36989658 DOI: 10.1016/j.parkreldis.2023.105371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 02/22/2023] [Accepted: 03/14/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND Pisa syndrome (PS) is a trunk postural abnormality in Parkinson's disease (PD). Its pathophysiology is still debated: peripheral and central mechanisms have been hypothesized. OBJECTIVE To investigate the role of nigrostriatal dopaminergic deafferentation and of brain metabolism impairment in the onset PS in PD patients. METHODS We retrospectively selected 34 PD patients who developed PS (PS+) and who had previously undergone dopamine transporter (DaT)-SPECT and/or brain F-18 fluorodeoxyglucose PET (FDG-PET). PS + patients were divided considering leaning body side in left ((l)PS+) or right ((r)PS+). DaT-SPECT specific-to-non-displaceable binding ratio (SBR) of striatal regions (BasGan V2 software) were compared between 30 PS+ and 60 PD patients without PS (PS-) as well as between 16 (l)PS+ and 14 (r)PS + patients. Voxel-based analysis (SPM12) was used to compare FDG-PET among 22 PS+, 22 PS- and 42 healthy controls (HC) and between 9 (r)PS+ and 13 (l)PS+. RESULTS No significant DaT-SPECT SBR differences were found between PS+ and PS- groups or between (r)PD+ and (l)PS + subgroups. Compared to HC, significant hypometabolism in PS+ was found in bilateral temporal-parietal regions, mainly in the right hemisphere, whereas the right Brodmann area 39 (BA39) was relatively hypometabolic both in the (r)PS+ and in the (l)PS+. BA39 and bilateral posterior cingulate cortex were significantly hypometabolic in PS + than in PS- group. CONCLUSIONS As a hub of the network supervising the body schema perception, the involvement of the right posterior hypometabolism supports the hypothesis PS is a result of a somatosensory perceptive deficit rather than a nigrostriatal dopaminergic unbalance.
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28
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Zhou Q, Du J, Gao R, Hu S, Yu T, Wang Y, Pan NC. Discriminative neural pathways for perception-cognition activity of color and face in the human brain. Cereb Cortex 2023; 33:1972-1984. [PMID: 35580851 DOI: 10.1093/cercor/bhac186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/22/2022] [Accepted: 04/24/2022] [Indexed: 11/13/2022] Open
Abstract
Human performance can be examined using a visual lens. The identification of psychophysical colors and emotional faces with perceptual visual pathways may remain invalid for simple detection tasks. In particular, how the visual dorsal and ventral processing streams handle discriminative visual perceptions and subsequent cognition activities are obscure. We explored these issues using stereoelectroencephalography recordings, which were obtained from patients with pharmacologically resistant epilepsy. Delayed match-to-sample paradigms were used for analyzing the processing of simple colors and complex emotional faces in the human brain. We showed that the angular-cuneus gyrus acts as a pioneer in discriminating the 2 features, and dorsal regions, including the middle frontal gyrus (MFG) and postcentral gyrus, as well as ventral regions, such as the middle temporal gyrus (MTG) and posterior superior temporal sulcus (pSTS), were involved in processing incongruent colors and faces. Critically, the beta and gamma band activities between the cuneus and MTG and between the cuneus and pSTS would tune a separate pathway of incongruency processing. In addition, posterior insular gyrus, fusiform, and MFG were found for attentional modulation of the 2 features via alpha band activities. These findings suggest the neural basis of the discriminative pathways of perception-cognition activities in the human brain.
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Affiliation(s)
- Qilin Zhou
- Department of Neurology, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China.,Beijing Key Laboratory of Neuromodulation, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China
| | - Jialin Du
- Department of Pharmacy Phase I Clinical Trial Center, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China
| | - Runshi Gao
- Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China
| | - Shimin Hu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China.,Beijing Key Laboratory of Neuromodulation, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China
| | - Tao Yu
- Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China
| | - Yuping Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China.,Beijing Key Laboratory of Neuromodulation, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China.,Institute of sleep and consciousness disorders, Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, No. 10, Xi Tou Tiao, Youanmen wai, Fengtai District, Beijing, 100069, China
| | - Na Clara Pan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China.,Beijing Key Laboratory of Neuromodulation, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China
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29
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Soyuhos O, Baldauf D. Functional connectivity fingerprints of the frontal eye field and inferior frontal junction suggest spatial versus nonspatial processing in the prefrontal cortex. Eur J Neurosci 2023; 57:1114-1140. [PMID: 36789470 DOI: 10.1111/ejn.15936] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 01/28/2023] [Accepted: 02/08/2023] [Indexed: 02/16/2023]
Abstract
Neuroimaging evidence suggests that the frontal eye field (FEF) and inferior frontal junction (IFJ) govern the encoding of spatial and nonspatial (such as feature- or object-based) representations, respectively, both during visual attention and working memory tasks. However, it is still unclear whether such contrasting functional segregation is also reflected in their underlying functional connectivity patterns. Here, we hypothesized that FEF has predominant functional coupling with spatiotopically organized regions in the dorsal ('where') visual stream whereas IFJ has predominant functional connectivity with the ventral ('what') visual stream. We applied seed-based functional connectivity analyses to temporally high-resolving resting-state magnetoencephalography (MEG) recordings. We parcellated the brain according to the multimodal Glasser atlas and tested, for various frequency bands, whether the spontaneous activity of each parcel in the ventral and dorsal visual pathway has predominant functional connectivity with FEF or IFJ. The results show that FEF has a robust power correlation with the dorsal visual pathway in beta and gamma bands. In contrast, anterior IFJ (IFJa) has a strong power coupling with the ventral visual stream in delta, beta and gamma oscillations. Moreover, while FEF is phase-coupled with the superior parietal lobe in the beta band, IFJa is phase-coupled with the middle and inferior temporal cortex in delta and gamma oscillations. We argue that these intrinsic connectivity fingerprints are congruent with each brain region's function. Therefore, we conclude that FEF and IFJ have dissociable connectivity patterns that fit their respective functional roles in spatial versus nonspatial top-down attention and working memory control.
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Affiliation(s)
- Orhan Soyuhos
- Centre for Mind/Brain Sciences (CIMeC), University of Trento, Trento, Italy.,Center for Neuroscience, University of California, Davis, California, USA
| | - Daniel Baldauf
- Centre for Mind/Brain Sciences (CIMeC), University of Trento, Trento, Italy
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30
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Towards a systematization of brain oscillatory activity in actions. Commun Biol 2023; 6:137. [PMID: 36732548 PMCID: PMC9894929 DOI: 10.1038/s42003-023-04531-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 01/25/2023] [Indexed: 02/04/2023] Open
Abstract
Information processing in the brain is governed by oscillatory activity. Activity oscillations in specific frequency bands (theta, alpha, beta and gamma) have been associated with various cognitive functions. A drawback of this is that the plethora of findings led to considerable uncertainty as to the functional relevance of activity in different frequency bands and their interrelation. Here, we use a novel cognitive-science theoretical framework to better understand and conceptually harmonize neurophysiological research on human action control. We outline how this validated starting point can systematize and probably reframe the functional relevance of oscillatory activity relevant for action control and beyond.
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31
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Gholamipourbarogh N, Prochnow A, Frings C, Münchau A, Mückschel M, Beste C. Perception-action integration during inhibitory control is reflected in a concomitant multi-region processing of specific codes in the neurophysiological signal. Psychophysiology 2023; 60:e14178. [PMID: 36083256 DOI: 10.1111/psyp.14178] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 08/11/2022] [Accepted: 08/24/2022] [Indexed: 01/04/2023]
Abstract
The integration of perception and action has long been studied in psychological science using overarching cognitive frameworks. Despite these being very successful in explaining perception-action integration, little is known about its neurophysiological and especially the functional neuroanatomical foundations. It is unknown whether distinct brain structures are simultaneously involved in the processing of perception-action integration codes and also to what extent demands on perception-action integration modulate activities in these structures. We investigate these questions in an EEG study integrating temporal and ICA-based EEG signal decomposition with source localization. For this purpose, we used data from 32 healthy participants who performed a 'TEC Go/Nogo' task. We show that the EEG signal can be decomposed into components carrying different informational aspects or processing codes relevant for perception-action integration. Importantly, these specific codes are processed independently in different brain structures, and their specific roles during the processing of perception-action integration differ. Some regions (i.e., the anterior cingulate and insular cortex) take a 'default role' because these are not modulated in their activity by demands or the complexity of event file coding processes. In contrast, regions in the motor cortex, middle frontal, temporal, and superior parietal cortices were not activated by 'default' but revealed modulations depending on the complexity of perception-action integration (i.e., whether an event file has to be reconfigured). Perception-action integration thus reflects a multi-region processing of specific fractions of information in the neurophysiological signal. This needs to be taken into account when further developing a cognitive science framework detailing perception-action integration.
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Affiliation(s)
- Negin Gholamipourbarogh
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany.,University Neuropsychology Center, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Astrid Prochnow
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany.,University Neuropsychology Center, Faculty of Medicine, TU Dresden, Dresden, Germany
| | | | - Alexander Münchau
- Institute of Systems Motor Science, University of Lübeck, Lübeck, Germany
| | - Moritz Mückschel
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany.,University Neuropsychology Center, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany.,University Neuropsychology Center, Faculty of Medicine, TU Dresden, Dresden, Germany
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32
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Yu S, Stock AK, Münchau A, Frings C, Beste C. Neurophysiological principles of inhibitory control processes during cognitive flexibility. Cereb Cortex 2023:6969136. [PMID: 36610732 DOI: 10.1093/cercor/bhac532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/17/2022] [Accepted: 12/18/2022] [Indexed: 01/09/2023] Open
Abstract
Inhibitory control plays an indispensable role in cognitive flexibility. Nevertheless, the neurophysiological principles underlying this are incompletely understood. This owes to the fact that the representational dynamics, as coded in oscillatory neural activity of different frequency bands has not been considered until now-despite being of conceptual relevance. Moreover, it is unclear in how far distinct functional neuroanatomical regions are concomitantly involved in the processing of representational dynamics. We examine these questions using a combination of EEG methods. We show that theta-band activity plays an essential role for inhibitory control processes during cognitive flexibility across informational aspects coded in distinct fractions of the neurophysiological signal. It is shown that posterior parietal structures and the inferior parietal cortex seem to be the most important cortical region for inhibitory control processes during cognitive flexibility. Theta-band activity plays an essential role in processes of retrieving the previously inhibited representations related to the current task during cognitive flexibility. The representational content relevant for inhibitory processes during cognitive flexibility is coded in the theta frequency band. We outline how the observed neural mechanisms inform recent overarching cognitive frameworks on how flexible action control is accomplished.
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Affiliation(s)
- Shijing Yu
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Sachsen 01187, Germany
| | - Ann-Kathrin Stock
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Sachsen 01187, Germany
| | - Alexander Münchau
- Institute of Systems Motor Science, University of Lübeck, Lübeck 23562, Germany
| | | | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Sachsen 01187, Germany
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33
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A proposed attention-based model for spatial memory formation and retrieval. Cogn Process 2022; 24:199-212. [PMID: 36576704 DOI: 10.1007/s10339-022-01121-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 12/16/2022] [Indexed: 12/29/2022]
Abstract
Animals use sensory information and memory to build internal representations of space. It has been shown that such representations extend beyond the geometry of an environment and also encode rich sensory experiences usually referred to as context. In mammals, contextual inputs from sensory cortices appear to be converging on the hippocampus as a key area for spatial representations and memory. How metric and external sensory inputs (e.g., visual context) are combined into a coherent and stable place representation is not fully understood. Here, I review the evidence of attentional effects along the ventral visual pathway and in the medial temporal lobe and propose an attention-based model for the integration of visual context in spatial representations. I further suggest that attention-based retrieval of spatial memories supports a feedback mechanism that allows consolidation of old memories and new sensory experiences related to the same place, thereby contributing to the stability of spatial representations. The resulting model has the potential to generate new hypotheses to explain complex responses of spatial cells such as place cells in the hippocampus.
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34
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Malik RN, Marigold DS, Chow M, Lam T. Probing the deployment of peripheral visual attention during obstacle-crossing planning. Front Hum Neurosci 2022; 16:1039201. [PMID: 36618994 PMCID: PMC9813236 DOI: 10.3389/fnhum.2022.1039201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
Gaze is directed to one location at a time, making peripheral visual input important for planning how to negotiate different terrain during walking. Whether and how the brain attends to this input is unclear. We developed a novel paradigm to probe the deployment of sustained covert visual attention by testing orientation discrimination of a Gabor patch at stepping and non-stepping locations during obstacle-crossing planning. Compared to remaining stationary, obstacle-crossing planning decreased visual performance (percent correct) and sensitivity (d') at only the first of two stepping locations. Given the timing of the first and second steps before obstacle crossing relative to the Gabor patch presentation, the results suggest the brain uses peripheral vision to plan one step at a time during obstacle crossing, in contrast to how it uses central vision to plan two or more steps in advance. We propose that this protocol, along with multiple possible variations, presents a novel behavioral approach to identify the role of covert visual attention during obstacle-crossing planning and other goal-directed walking tasks.
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Affiliation(s)
- Raza N. Malik
- School of Kinesiology, University of British Columbia, Burnaby, BC, Canada,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada,*Correspondence: Raza N. Malik
| | - Daniel S. Marigold
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada,Institute for Neuroscience and Neurotechnology, Simon Fraser University, Burnaby, BC, Canada
| | - Mason Chow
- International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
| | - Tania Lam
- School of Kinesiology, University of British Columbia, Burnaby, BC, Canada,International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
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35
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Shine JM. Adaptively navigating affordance landscapes: How interactions between the superior colliculus and thalamus coordinate complex, adaptive behaviour. Neurosci Biobehav Rev 2022; 143:104921. [DOI: 10.1016/j.neubiorev.2022.104921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 09/08/2022] [Accepted: 09/08/2022] [Indexed: 11/06/2022]
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36
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Xiao W, Zheng X, Luo Y, Peng J. Reducing anxiety and attentional bias with reward association learning and attentional bias modification. Front Psychol 2022; 13:982909. [PMID: 36507005 PMCID: PMC9728586 DOI: 10.3389/fpsyg.2022.982909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 10/17/2022] [Indexed: 11/24/2022] Open
Abstract
The current study examined the effects of a reward associative learning procedure and the traditional threat-avoidance ABM paradigm on anxiety and attentional bias. In reward training, participants were given high rewards for correct responses to neutral target and low rewards for correct responses to negative target. In reward control training, participants received no cues of rewards after their responses. High trait anxious individuals (N = 76) first completed a session of reward training or reward control training, followed by four sessions of ABM training or ABM control training. Generalized anxiety disorder symptom (GAD-7) and attentional bias in a dot-probe task were assessed during pre-and post-training. Results indicated that the effect of ABM training on reducing anxiety was only obtained in the reward training condition. Participants who received reward training showed significantly less attentional bias compared with those receiving reward control training. There was no significant training effect of ABM on atttentiona bias. Results suggested that reward training reduced general anxiety and attentional bias. Traditional ABM training reduced anxiety only when combined with reward training. Attentional bias in anxiety are modifiable through reward training.
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Affiliation(s)
- Wen Xiao
- Teacher Education School, Shaoguan University, Shaoguan, Guangdong, China
| | - Xiaoqi Zheng
- Teacher Education School, Shaoguan University, Shaoguan, Guangdong, China
| | - Yuejia Luo
- Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Jiaxin Peng
- Teacher Education School, Shaoguan University, Shaoguan, Guangdong, China,*Correspondence: Jiaxin Peng,
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Gholamipourbarogh N, Ghin F, Mückschel M, Frings C, Stock A, Beste C. Evidence for independent representational contents in inhibitory control subprocesses associated with frontoparietal cortices. Hum Brain Mapp 2022; 44:1046-1061. [PMID: 36314869 PMCID: PMC9875938 DOI: 10.1002/hbm.26135] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 10/05/2022] [Accepted: 10/17/2022] [Indexed: 11/04/2022] Open
Abstract
Inhibitory control processes have intensively been studied in cognitive science for the past decades. Even though the neural dynamics underlying these processes are increasingly better understood, a critical open question is how the representational dynamics of the inhibitory control processes are modulated when engaging in response inhibition in a relatively automatic or a controlled mode. Against the background of an overarching theory of perception-action integration, we combine temporal and spatial EEG signal decomposition methods with multivariate pattern analysis and source localization to obtain fine-grained insights into the neural dynamics of the representational content of response inhibition. For this purpose, we used a sample of N = 40 healthy adult participants. The behavioural data suggest that response inhibition was better in a more controlled than a more automated response execution mode. Regarding neural dynamics, effects of response inhibition modes relied on a concomitant coding of stimulus-related information and rules of how stimulus information is related to the appropriate motor programme. Crucially, these fractions of information, which are encoded at the same time in the neurophysiological signal, are based on two independent spatial neurophysiological activity patterns, also showing differences in the temporal stability of the representational content. Source localizations revealed that the precuneus and inferior parietal cortex regions are more relevant than prefrontal areas for the representation of stimulus-response selection codes. We provide a blueprint how a concatenation of EEG signal analysis methods, capturing distinct aspects of neural dynamics, can be connected to cognitive science theory on the importance of representations in action control.
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Affiliation(s)
- Negin Gholamipourbarogh
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of MedicineTU DresdenDresdenGermany,University Neuropsychology Center, Faculty of MedicineTU DresdenDresdenGermany
| | - Filippo Ghin
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of MedicineTU DresdenDresdenGermany,University Neuropsychology Center, Faculty of MedicineTU DresdenDresdenGermany
| | - Moritz Mückschel
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of MedicineTU DresdenDresdenGermany,University Neuropsychology Center, Faculty of MedicineTU DresdenDresdenGermany
| | | | - Ann‐Kathrin Stock
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of MedicineTU DresdenDresdenGermany,University Neuropsychology Center, Faculty of MedicineTU DresdenDresdenGermany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of MedicineTU DresdenDresdenGermany,University Neuropsychology Center, Faculty of MedicineTU DresdenDresdenGermany
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Seideman JA, Stanford TR, Salinas E. A conflict between spatial selection and evidence accumulation in area LIP. Nat Commun 2022; 13:4463. [PMID: 35915096 PMCID: PMC9343639 DOI: 10.1038/s41467-022-32209-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 07/20/2022] [Indexed: 11/09/2022] Open
Abstract
The lateral intraparietal area (LIP) contains spatially selective neurons that help guide eye movements and, according to numerous studies, do so by accumulating sensory evidence in favor of one choice (e.g., look left) or another (look right). To examine this functional link, we trained two monkeys on an urgent motion discrimination task, a task with which the evolution of both the recorded neuronal activity and the subject's choice can be tracked millisecond by millisecond. We found that while choice accuracy increased steeply with increasing sensory evidence, at the same time, the LIP selection signal became progressively weaker, as if it hindered performance. This effect was consistent with the transient deployment of spatial attention to disparate locations away from the relevant sensory cue. The results demonstrate that spatial selection in LIP is dissociable from, and may even conflict with, evidence accumulation during informed saccadic choices.
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Affiliation(s)
- Joshua A Seideman
- Department of Neurobiology and Anatomy, Wake Forest School of Medicine, 1 Medical Center Blvd., Winston-Salem, NC, 27157-1010, USA
| | - Terrence R Stanford
- Department of Neurobiology and Anatomy, Wake Forest School of Medicine, 1 Medical Center Blvd., Winston-Salem, NC, 27157-1010, USA
| | - Emilio Salinas
- Department of Neurobiology and Anatomy, Wake Forest School of Medicine, 1 Medical Center Blvd., Winston-Salem, NC, 27157-1010, USA.
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Chen ZS, Zhang X, Long X, Zhang SJ. Are Grid-Like Representations a Component of All Perception and Cognition? Front Neural Circuits 2022; 16:924016. [PMID: 35911570 PMCID: PMC9329517 DOI: 10.3389/fncir.2022.924016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 06/14/2022] [Indexed: 11/24/2022] Open
Abstract
Grid cells or grid-like responses have been reported in the rodent, bat and human brains during various spatial and non-spatial tasks. However, the functions of grid-like representations beyond the classical hippocampal formation remain elusive. Based on accumulating evidence from recent rodent recordings and human fMRI data, we make speculative accounts regarding the mechanisms and functional significance of the sensory cortical grid cells and further make theory-driven predictions. We argue and reason the rationale why grid responses may be universal in the brain for a wide range of perceptual and cognitive tasks that involve locomotion and mental navigation. Computational modeling may provide an alternative and complementary means to investigate the grid code or grid-like map. We hope that the new discussion will lead to experimentally testable hypotheses and drive future experimental data collection.
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Affiliation(s)
- Zhe Sage Chen
- Department of Psychiatry, Department of Neuroscience and Physiology, Neuroscience Institute, New York University School of Medicine, New York, NY, United States
- *Correspondence: Zhe Sage Chen
| | - Xiaohan Zhang
- Department of Psychiatry, Department of Neuroscience and Physiology, Neuroscience Institute, New York University School of Medicine, New York, NY, United States
| | - Xiaoyang Long
- Department of Neurosurgery, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Sheng-Jia Zhang
- Department of Neurosurgery, Xinqiao Hospital, Army Medical University, Chongqing, China
- Sheng-Jia Zhang
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Konjusha A, Colzato L, Mückschel M, Beste C. Auricular Transcutaneous Vagus Nerve Stimulation Diminishes Alpha-Band-Related Inhibitory Gating Processes During Conflict Monitoring in Frontal Cortices. Int J Neuropsychopharmacol 2022; 25:457-467. [PMID: 35137108 PMCID: PMC9211011 DOI: 10.1093/ijnp/pyac013] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 01/11/2022] [Accepted: 02/01/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Pursuing goals is compromised when being confronted with interfering information. In such situations, conflict monitoring is important. Theoretical considerations on the neurobiology of response selection and control suggest that auricular transcutaneous vagus nerve stimulation (atVNS) should modulate conflict monitoring. However, the neurophysiological-functional neuroanatomical underpinnings are still not understood. METHODS AtVNS was applied in a randomized crossover study design (n = 45). During atVNS or sham stimulation, conflict monitoring was assessed using a Flanker task. EEG data were recorded and analyzed with focus on theta and alpha band activity. Beamforming was applied to examine functional neuroanatomical correlates of atVNS-induced EEG modulations. Moreover, temporal EEG signal decomposition was applied to examine different coding levels in alpha and theta band activity. RESULTS AtVNS compromised conflict monitoring processes when it was applied at the second appointment in the crossover study design. On a neurophysiological level, atVNS exerted specific effects because only alpha-band activity was modulated. Alpha-band activity was lower in middle and superior prefrontal regions during atVNS stimulation and thus lower when there was also a decline in task performance. The same direction of alpha-band modulations was evident in fractions of the alpha-band activity coding stimulus-related processes, stimulus-response translation processes, and motor response-related processes. CONCLUSIONS The combination of prior task experience and atVNS compromises conflict monitoring processes. This is likely due to reduction of the alpha-band-associated inhibitory gating process on interfering information in frontal cortices. Future research should pay considerable attention to boundary conditions affecting the direction of atVNS effects.
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Affiliation(s)
- Anyla Konjusha
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany
- University Neuropsychology Centre, Faculty of Medicine, TU Dresden, Germany
| | - Lorenza Colzato
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany
- University Neuropsychology Centre, Faculty of Medicine, TU Dresden, Germany
- Faculty of Psychology, Shandong Normal University, Jinan, China
| | - Moritz Mückschel
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany
- University Neuropsychology Centre, Faculty of Medicine, TU Dresden, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany
- University Neuropsychology Centre, Faculty of Medicine, TU Dresden, Germany
- Faculty of Psychology, Shandong Normal University, Jinan, China
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Fernandez-Iriondo I, Jimenez-Marin A, Sierra B, Aginako N, Bonifazi P, Cortes JM. Brain Mapping of Behavioral Domains Using Multi-Scale Networks and Canonical Correlation Analysis. Front Neurosci 2022; 16:889725. [PMID: 35801180 PMCID: PMC9255673 DOI: 10.3389/fnins.2022.889725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 05/27/2022] [Indexed: 11/13/2022] Open
Abstract
Simultaneous mapping of multiple behavioral domains into brain networks remains a major challenge. Here, we shed some light on this problem by employing a combination of machine learning, structural and functional brain networks at different spatial resolutions (also known as scales), together with performance scores across multiple neurobehavioral domains, including sensation, motor skills, and cognition. Provided by the Human Connectome Project, we make use of three cohorts: 640 participants for model training, 160 subjects for validation, and 200 subjects for model performance testing thus enhancing prediction generalization. Our modeling consists of two main stages, namely dimensionality reduction in brain network features at multiple scales, followed by canonical correlation analysis, which determines an optimal linear combination of connectivity features to predict multiple behavioral performance scores. To assess the differences in the predictive power of each modality, we separately applied three different strategies: structural unimodal, functional unimodal, and multimodal, that is, structural in combination with functional features of the brain network. Our results show that the multimodal association outperforms any of the unimodal analyses. Then, to answer which human brain structures were most involved in predicting multiple behavioral scores, we simulated different synthetic scenarios in which in each case we completely deleted a brain structure or a complete resting state network, and recalculated performance in its absence. In deletions, we found critical structures to affect performance when predicting single behavioral domains, but this occurred in a lesser manner for prediction of multi-domain behavior. Overall, our results confirm that although there are synergistic contributions between brain structure and function that enhance behavioral prediction, brain networks may also be mutually redundant in predicting multidomain behavior, such that even after deletion of a structure, the connectivity of the others can compensate for its lack in predicting behavior.
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Affiliation(s)
- Izaro Fernandez-Iriondo
- Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), San Sebastian, Spain
- Computational Neuroimaging Lab, BioCruces-Bizkaia Health Research Institute, Barakaldo, Spain
- Doctoral Programme in Informatics Engineering, University of the Basque Country (UPV/EHU), San Sebastian, Spain
- *Correspondence: Izaro Fernandez-Iriondo
| | - Antonio Jimenez-Marin
- Computational Neuroimaging Lab, BioCruces-Bizkaia Health Research Institute, Barakaldo, Spain
- Biomedical Research Doctorate Program, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Basilio Sierra
- Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), San Sebastian, Spain
| | - Naiara Aginako
- Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), San Sebastian, Spain
| | - Paolo Bonifazi
- Computational Neuroimaging Lab, BioCruces-Bizkaia Health Research Institute, Barakaldo, Spain
- IKERBASQUE: The Basque Foundation for Science, Bilbao, Spain
| | - Jesus M. Cortes
- Computational Neuroimaging Lab, BioCruces-Bizkaia Health Research Institute, Barakaldo, Spain
- IKERBASQUE: The Basque Foundation for Science, Bilbao, Spain
- Department of Cell Biology and Histology, University of the Basque Country (UPV/EHU), Leioa, Spain
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Pan N, Wang S, Qin K, Li L, Chen Y, Zhang X, Lai H, Suo X, Long Y, Yu Y, Ji S, Radua J, Sweeney JA, Gong Q. Common and Distinct Neural Patterns of Attention-Deficit/Hyperactivity Disorder and Borderline Personality Disorder: A Multimodal Functional and Structural Meta-analysis. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022:S2451-9022(22)00147-1. [PMID: 35714858 DOI: 10.1016/j.bpsc.2022.06.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 06/02/2022] [Accepted: 06/03/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) and borderline personality disorder (BPD) have partially overlapping symptom profiles and are highly comorbid in adults. However, whether the behavioral similarities correspond to shared neurobiological substrates is not known. METHODS An overlapping meta-analysis of 58 ADHD and 66 BPD whole-brain articles incorporating observations from 3401 adult patients and 3238 healthy participants was performed by seed-based d mapping. Brain maps were subjected to meta-analytic connectivity modeling and data-driven functional decoding analyses to identify associated neural circuit alterations and relations to behavioral dimensions. RESULTS Both groups exhibited hypoactivated abnormalities in the left inferior parietal lobule, and altered clusters of the bilateral superior temporal gyrus were disjunctive in ADHD and BPD. No overlapping structural abnormalities were found. Multimodal alterations of ADHD were located in the right putamen and of BPD in the left orbitofrontal cortex. CONCLUSIONS The transdiagnostic neural bases of ADHD and BPD in temporoparietal circuitry may underlie overlapping problems of behavioral control, while disorder-specific substrates in frontostriatal circuitry may account for their distinguishing features in motor and emotion domains, respectively.
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Affiliation(s)
- Nanfang Pan
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Song Wang
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China.
| | - Kun Qin
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Lei Li
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Ying Chen
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xun Zhang
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Han Lai
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xueling Suo
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Yajing Long
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Yifan Yu
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Shiyu Ji
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - John A Sweeney
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, China.
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Beroukhim-Kay D, Kim B, Monterosso J, Lewthwaite R, Winstein C. Different Patterns of Neural Activity Characterize Motor Skill Performance During Acquisition and Retention. Front Hum Neurosci 2022; 16:900405. [PMID: 35769253 PMCID: PMC9234574 DOI: 10.3389/fnhum.2022.900405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 05/26/2022] [Indexed: 11/13/2022] Open
Abstract
Motor performance and learning have distinct behavioral and neural signatures and can be uniquely modulated by various informational and motivational factors. Contemporary frameworks describe four different motor learning mechanisms mapped onto specific neural regions which are key for motor skill acquisition: error-based learning (cerebellum), reinforcement learning (basal ganglia), cognitive strategies (prefrontal cortex), and use-dependent learning (motor cortex). However, little is known about the neural circuits engaged during skill acquisition that are modulated specifically by practice-based performance improvement and those that predict recall performance. Based on previous work, we hypothesize that brain activity during practice in primary motor cortex and basal ganglia (1) is associated with trial-by-trial practice performance and (2) is predictive of immediate recall performance. Leveraging the contemporary framework, we use a well-known task paradigm that primarily relies upon cognitive strategy, reinforcement, and use-based learning mechanisms to test our hypotheses. Forty neurotypical young adults were asked to practice a pinch force tracking task. Participants received performance feedback after each trial during practice. We used whole brain analysis of functional magnetic resonance imaging (fMRI) and behavioral performance measures (i.e., time-on-target and self-efficacy) during the practice phase to determine which brain activation patterns are (1) associated with trial-by-trial tracking performance and (2) predictive of immediate no-feedback retention performance. We observed brain activations in the frontal orbital cortex, putamen, amygdala, and insula correlated with tracking performance improvement during practice. In contrast, a different set of performance-related activated regions were observed that were associated with immediate retention performance that included the primary motor cortex, superior frontal gyrus, somatosensory cortex, angular gyrus, and parietal gyrus. Our findings demonstrate that improved practice performance and recall of a sensorimotor skill are correlated with distinct neural activity patterns during acquisition, drawing on different motor learning mechanisms during encoding. While motor performance improvements depend on both cortical and subcortical regions, motor skill recall depends primarily on prefrontal and motor cortices. We discuss possible interpretations for why our hypothesis regarding basal ganglia activity and retention performance was not supported. Understanding the different neural mechanisms engaged in motor performance and learning may inform novel interventions to enhance motor skill learning.
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Affiliation(s)
- Dorsa Beroukhim-Kay
- Motor Behavior and Neurorehabilitation Laboratory, Division of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, United States
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, United States
- Southern California Clinical and Translational Science Institute, University of Southern California, Los Angeles, CA, United States
| | - Bokkyu Kim
- Motor Behavior and Neurorehabilitation Laboratory, Division of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, United States
- SUNY Upstate Medical University, Syracuse, NY, United States
| | - John Monterosso
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, United States
- Department of Psychology, University of Southern California, Los Angeles, CA, United States
| | - Rebecca Lewthwaite
- Division of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, United States
- Rehabilitation Therapies Division, Rancho Los Amigos National Rehabilitation Center, Downey, CA, United States
| | - Carolee Winstein
- Motor Behavior and Neurorehabilitation Laboratory, Division of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, United States
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, United States
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
- *Correspondence: Carolee Winstein,
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Eye-specific attentional bias driven by selection history. Psychon Bull Rev 2022; 29:2155-2166. [PMID: 35680761 DOI: 10.3758/s13423-022-02121-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/06/2022] [Indexed: 11/08/2022]
Abstract
Attention helps in selection among competing stimuli, but attentional selection also biases subsequent information processing as a prior experience. Previous studies have demonstrated that intertrial repetition of target features or locations facilitates perceptual processing as selection history guides attention. In the current study, we found that eye selection history in binocular rivalry induces eye-specific attentional bias. In four experiments, participants responded to the target presented at one of the locations on either eye. The results showed that the target was detected faster when presented to the same eye as in the previous trial under binocular rivalry. However, the effect of eye repetition was not observed when the interocular conflict was reduced by presenting stimuli to only one eye on each trial. Our result indicates that eye selection history can affect eye dominance during binocular rivalry as attention amplifies selected information among competing inputs. These findings suggest that prior experience of attentional deployment modulates subsequent information processing owing to the residual effect of attentional amplification.
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Zhang M, Huang X, Li B, Shang H, Yang J. Gray Matter Structural and Functional Alterations in Idiopathic Blepharospasm: A Multimodal Meta-Analysis of VBM and Functional Neuroimaging Studies. Front Neurol 2022; 13:889714. [PMID: 35734475 PMCID: PMC9207395 DOI: 10.3389/fneur.2022.889714] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 05/16/2022] [Indexed: 12/03/2022] Open
Abstract
Background Neuroimaging studies have shown gray matter structural and functional alterations in patients with idiopathic blepharospasm (iBSP) but with variations. Here we aimed to investigate the specific and common neurostructural/functional abnormalities in patients with iBSP. Methods A systematic literature search from PubMed, Web of Science and Embase was conducted to identify relevant publications. We conducted separate meta-analysis for whole-brain voxel-based morphometry (VBM) studies and for functional imaging studies, and a multimodal meta-analysis across VBM and functional studies in iBSP, using anisotropic effect size-based signed differential mapping. Results The structural database comprised 129 patients with iBSP and 144 healthy controls whilst the functional database included 183 patients with iBSP and 253 healthy controls. The meta-analysis of VBM studies showed increased gray matter in bilateral precentral and postcentral gyri, right supplementary motor area and bilateral paracentral lobules, while decreased gray matter in right superior and inferior parietal gyri, left inferior parietal gyrus, left inferior temporal gyrus, left fusiform gyrus and parahippocampal gyrus. The meta-analysis of functional studies revealed hyperactivity in right dorsolateral superior frontal gyrus, left thalamus and right fusiform gyrus, while hypoactivity in left temporal pole, left insula, left precentral gyrus, bilateral precuneus and paracentral lobules, right supplementary motor area and middle frontal gyrus. The multimodal meta-analysis identified conjoint anatomic and functional changes in left precentral gyrus, bilateral supplementary motor areas and paracentral lobules, right inferior occipital gyrus and fusiform gyrus. Conclusions The patterns of conjoint and dissociated gray matter alterations identified in the meta-analysis may enhance our understanding of the pathophysiological mechanisms underlying iBSP.
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Rauchman SH, Albert J, Pinkhasov A, Reiss AB. Mild-to-Moderate Traumatic Brain Injury: A Review with Focus on the Visual System. Neurol Int 2022; 14:453-470. [PMID: 35736619 PMCID: PMC9227114 DOI: 10.3390/neurolint14020038] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/23/2022] [Accepted: 05/25/2022] [Indexed: 02/01/2023] Open
Abstract
Traumatic Brain Injury (TBI) is a major global public health problem. Neurological damage from TBI may be mild, moderate, or severe and occurs both immediately at the time of impact (primary injury) and continues to evolve afterwards (secondary injury). In mild (m)TBI, common symptoms are headaches, dizziness and fatigue. Visual impairment is especially prevalent. Insomnia, attentional deficits and memory problems often occur. Neuroimaging methods for the management of TBI include computed tomography and magnetic resonance imaging. The location and the extent of injuries determine the motor and/or sensory deficits that result. Parietal lobe damage can lead to deficits in sensorimotor function, memory, and attention span. The processing of visual information may be disrupted, with consequences such as poor hand-eye coordination and balance. TBI may cause lesions in the occipital or parietal lobe that leave the TBI patient with incomplete homonymous hemianopia. Overall, TBI can interfere with everyday life by compromising the ability to work, sleep, drive, read, communicate and perform numerous activities previously taken for granted. Treatment and rehabilitation options available to TBI sufferers are inadequate and there is a pressing need for new ways to help these patients to optimize their functioning and maintain productivity and participation in life activities, family and community.
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Affiliation(s)
- Steven H. Rauchman
- The Fresno Institute of Neuroscience, Fresno, CA 93730, USA
- Correspondence:
| | - Jacqueline Albert
- Department of Medicine, Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, NY 11501, USA; (J.A.); (A.B.R.)
| | - Aaron Pinkhasov
- Department of Psychiatry, NYU Long Island School of Medicine, Mineola, NY 11501, USA;
| | - Allison B. Reiss
- Department of Medicine, Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, NY 11501, USA; (J.A.); (A.B.R.)
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Zemliak V, MacInnes WJ. The Spatial Leaky Competing Accumulator Model. FRONTIERS IN COMPUTER SCIENCE 2022. [DOI: 10.3389/fcomp.2022.866029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The Leaky Competing Accumulator model (LCA) of Usher and McClelland is able to simulate the time course of perceptual decision making between an arbitrary number of stimuli. Reaction times, such as saccadic latencies, produce a typical distribution that is skewed toward longer latencies and accumulator models have shown excellent fit to these distributions. We propose a new implementation called the Spatial Leaky Competing Accumulator (SLCA), which can be used to predict the timing of subsequent fixation durations during a visual task. SLCA uses a pre-existing saliency map as input and represents accumulation neurons as a two-dimensional grid to generate predictions in visual space. The SLCA builds on several biologically motivated parameters: leakage, recurrent self-excitation, randomness and non-linearity, and we also test two implementations of lateral inhibition. A global lateral inhibition, as implemented in the original model of Usher and McClelland, is applied to all competing neurons, while a local implementation allows only inhibition of immediate neighbors. We trained and compared versions of the SLCA with both global and local lateral inhibition with use of a genetic algorithm, and compared their performance in simulating human fixation latency distribution in a foraging task. Although both implementations were able to produce a positively skewed latency distribution, only the local SLCA was able to match the human data distribution from the foraging task. Our model is discussed for its potential in models of salience and priority, and its benefits as compared to other models like the Leaky integrate and fire network.
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Subregions of DLPFC Display Graded yet Distinct Structural and Functional Connectivity. J Neurosci 2022; 42:3241-3252. [PMID: 35232759 PMCID: PMC8994544 DOI: 10.1523/jneurosci.1216-21.2022] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 11/10/2021] [Accepted: 01/02/2022] [Indexed: 02/02/2023] Open
Abstract
The human dorsolateral prefrontal cortex (DLPFC; approximately corresponding to Brodmann areas 9 and 46) has demonstrable roles in diverse executive functions such as working memory, cognitive flexibility, planning, inhibition, and abstract reasoning. However, it remains unclear whether this is the result of one functionally homogeneous region or whether there are functional subdivisions within the DLPFC. Here, we divided the DLPFC into seven areas along rostral-caudal and dorsal-ventral axes anatomically and explored their respective patterns of structural and functional connectivity. In vivo probabilistic tractography (11 females and 13 males) and resting-state functional magnetic resonance imaging (fMRI; 57 females and 21 males) were employed to map out the patterns of connectivity from each DLPFC subregion. Structural connectivity demonstrated graded intraregional connectivity within the DLPFC. The patterns of structural connectivity between the DLPFC subregions and other cortical areas revealed that the dorsal-rostral subregions connections were restricted to other frontal and limbic areas, whereas the ventral-caudal region was widely connected to frontal, parietal, and limbic cortex. Functional connectivity analyses demonstrated that subregions of DLPFC were strongly interconnected to each other. The dorsal subregions were associated with the default mode network (DMN), while middle dorsal-rostral subregions were linked with the multiple demand network (MDN). The ventral-caudal subregion showed increased functional coupling with both DMN and MDN. Our results suggest that the connectivity of the DLPFC may be subdivided along a dorsorostral-ventrocaudal axis with differing (albeit graded) patterns of connectivity reflecting the integrative executive function of the DLPFC.SIGNIFICANCE STATEMENT Research has shown that the dorsolateral prefrontal cortex (DLPFC) plays a role in various executive functions. By dividing the DLPFC into seven areas along rostral-caudal and dorsal-ventral axes anatomically, we explored their patterns of structural and functional connectivity. The patterns of connectivity within DLPFC subregions demonstrated graded intraregional connectivity. There were distinctive patterns of connectivity with other cortical areas in dorsal-rostral and ventral-caudal DLPFC subregions. Divisions across DLPFC subregions seem to align with their structural and functional connectivity. Our results suggest that DLPFC may be subdivided by the diagonal axis of the dorsal-ventral axis and rostral-caudal axis, supporting the framework of a functional organization along the anterior-posterior axis in the lateral PFC.
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Beffara B, Hadj-Bouziane F, Hamed SB, Boehler CN, Chelazzi L, Santandrea E, Macaluso E. Dynamic causal interactions between occipital and parietal cortex explain how endogenous spatial attention and stimulus-driven salience jointly shape the distribution of processing priorities in 2D visual space. Neuroimage 2022; 255:119206. [PMID: 35427770 DOI: 10.1016/j.neuroimage.2022.119206] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 03/15/2022] [Accepted: 04/08/2022] [Indexed: 10/18/2022] Open
Abstract
Visuo-spatial attention prioritizes the processing of relevant inputs via different types of signals, including current goals and stimulus salience. Complex mixtures of these signals engage in everyday life situations, but little is known about how these signals jointly modulate distributed patterns of activity across the occipital regions that represent visual space. Here, we measured spatio-topic, quadrant-specific occipital activity during the processing of visual displays containing both task-relevant targets and salient color-singletons. We computed spatial bias vectors indexing the effect of attention in 2D space, as coded by distributed activity in the occipital cortex. We found that goal-directed spatial attention biased activity towards the target and that salience further modulated this endogenous effect: salient distractors decreased the spatial bias, while salient targets increased it. Analyses of effective connectivity revealed that the processing of salient distractors relied on the modulation of the bidirectional connectivity between the occipital and the posterior parietal cortex, as well as the modulation of the lateral interactions within the occipital cortex. These findings demonstrate that goal-directed attention and salience jointly contribute to shaping processing priorities in the occipital cortex and highlight that multiple functional paths determine how spatial information about these signals is distributed across occipital regions.
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Affiliation(s)
- Bertrand Beffara
- IMPACT Team, Lyon Neuroscience Research Center, INSERM, U1028, CNRS, UMR5292, University of Lyon, Bron Cedex, France.
| | - Fadila Hadj-Bouziane
- IMPACT Team, Lyon Neuroscience Research Center, INSERM, U1028, CNRS, UMR5292, University of Lyon, Bron Cedex, France
| | - Suliann Ben Hamed
- Institut des Sciences Cognitives Marc Jeannerod, Lyon, UMR5229, CNRS, Université de Lyon, France
| | - C Nico Boehler
- Department of Experimental Psychology, Ghent University, Belgium
| | - Leonardo Chelazzi
- Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Elisa Santandrea
- Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Italy
| | - Emiliano Macaluso
- IMPACT Team, Lyon Neuroscience Research Center, INSERM, U1028, CNRS, UMR5292, University of Lyon, Bron Cedex, France
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Heinrichs-Graham E, Walker EA, Taylor BK, Menting SC, Eastman JA, Frenzel MR, McCreery RW. Auditory experience modulates frontoparietal theta activity serving fluid intelligence. Brain Commun 2022; 4:fcac093. [PMID: 35480224 PMCID: PMC9039508 DOI: 10.1093/braincomms/fcac093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 02/15/2022] [Accepted: 04/01/2022] [Indexed: 12/04/2022] Open
Abstract
Children who are hard of hearing are at risk for developmental language and academic delays compared with children with normal hearing. Some work suggests that high-order cognitive function, including fluid intelligence, may relate to language and academic outcomes in children with hearing loss, but findings in these studies have been mixed and to date, there have been no studies of the whole-brain neural dynamics serving fluid intelligence in the context of hearing loss. To this end, this study sought to identify the impact of hearing loss and subsequent hearing aid use on the neural dynamics serving abstract reasoning in children who are hard of hearing relative to children with normal hearing using magnetoencephalography. We found significant elevations in occipital and parietal theta activity during early stimulus evaluation in children who are hard of hearing relative to normal-hearing peers. In addition, we found that greater hearing aid use was significantly related to reduced activity throughout the fronto-parietal network. Notably, there were no differences in alpha dynamics between groups during later-stage processing nor did alpha activity correlate with hearing aid use. These cross-sectional data suggest that differences in auditory experience lead to widespread alterations in the neural dynamics serving initial stimulus processing in fluid intelligence in children.
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Affiliation(s)
- Elizabeth Heinrichs-Graham
- Institute for Human Neuroscience, Boys Town National Research Hospital (BTNRH), Omaha, NE, USA
- College of Medicine, Creighton University, Omaha, NE, USA
- Center for Magnetoencephalography (MEG), University of Nebraska Medical Center (UNMC), Omaha, NE, USA
| | - Elizabeth A. Walker
- Wendell Johnson Speech and Hearing Center, Department of Communication Sciences and Disorders, University of Iowa, Iowa City, IA, USA
| | - Brittany K. Taylor
- Institute for Human Neuroscience, Boys Town National Research Hospital (BTNRH), Omaha, NE, USA
- College of Medicine, Creighton University, Omaha, NE, USA
- Center for Magnetoencephalography (MEG), University of Nebraska Medical Center (UNMC), Omaha, NE, USA
| | - Sophia C. Menting
- Center for Magnetoencephalography (MEG), University of Nebraska Medical Center (UNMC), Omaha, NE, USA
- Department of Psychology, University of Nebraska—Lincoln, Lincoln, NE, USA
| | - Jacob A. Eastman
- Institute for Human Neuroscience, Boys Town National Research Hospital (BTNRH), Omaha, NE, USA
- Center for Magnetoencephalography (MEG), University of Nebraska Medical Center (UNMC), Omaha, NE, USA
| | - Michaela R. Frenzel
- Institute for Human Neuroscience, Boys Town National Research Hospital (BTNRH), Omaha, NE, USA
- Center for Magnetoencephalography (MEG), University of Nebraska Medical Center (UNMC), Omaha, NE, USA
| | - Ryan W. McCreery
- Audibility, Perception, and Cognition Laboratory, BTNRH, Omaha, NE, USA
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