1
|
Ai S. STN-PFC circuit related to attentional fluctuations during non-movement decision-making. Neuroscience 2024; 553:110-120. [PMID: 38972448 DOI: 10.1016/j.neuroscience.2024.06.033] [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: 03/17/2024] [Revised: 06/06/2024] [Accepted: 06/27/2024] [Indexed: 07/09/2024]
Abstract
Decision-making is a cognitive process, in which participants need to attend to relevant information and ignore the irrelevant information. Previous studies have described a set of cortical areas important for attention. It is unclear whether subcortical areas also serve a role. The subthalamic nucleus (STN), a part of basal ganglia, is traditionally considered a critical node in the cortico-basal ganglia-thalamus-cortico network. Given the location of the STN and its widespread connections with cortical and subcortical brain regions, the STN plays an important role in motor and non-motor cognitive processing. We would like to know if STN is also related to fluctuations in attentional task performance, and how the STN interacts with prefrontal cortical regions during the process. We examined neural activities within STN covaried with lapses of attention (defined as behavior error). We found that decreased neural activities in STN were associated with sustained attention. By examining connectivity across STN and various sub-regions of the prefrontal cortex (PFC), we found that decreased connectivity across areas was associated with sustained attention. Our results indicated that decreased STN activities were associated with sustained attention, and the STN-PFC circuit supported this process.
Collapse
Affiliation(s)
- Shengnan Ai
- Department of Automation, Tsinghua University, Beijing 100084, China; Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing 100084, China.
| |
Collapse
|
2
|
Gholami-Mahtaj L, Mooziri M, Bamdad S, Mikaili M, Jamaati H, Raoufy MR. Neural signature of attention impairment in allergic asthma: an ERP study. Int J Neurosci 2024; 134:815-825. [PMID: 36416718 DOI: 10.1080/00207454.2022.2151908] [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: 04/23/2022] [Revised: 05/29/2022] [Accepted: 06/23/2022] [Indexed: 11/24/2022]
Abstract
Methods We recruited 38 participants, equally distributed into healthy and asthma groups. Behavioral, neurophysiological, and lung function assessment tools were used in this study. Results Our behavioral data show that allergic asthma induces attention impairment. Additionally, the event-related potentials (ERP) analysis reveals that this attention deficit is associated with a disruption in cognitive processing capability in frontal brain areas. These behavioral and neurophysiological abnormalities were strongly correlated with disease severity and neuropsychiatric comorbidities of asthmatic patients. Conclusion Together, here we propose that disrupted neurophysiological responses in frontal brain areas might lead to attention impairments in patients with allergic asthma. These findings could help characterizing the neuro-pathophysiology of cognitive disorders in allergic asthma, possibly opening the way for development of novel treatment strategies.
Collapse
Affiliation(s)
- Leila Gholami-Mahtaj
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Morteza Mooziri
- School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Sobhan Bamdad
- Department of Biomedical Engineering, Shahed University, Tehran, Iran
| | - Mohammad Mikaili
- Department of Biomedical Engineering, Shahed University, Tehran, Iran
| | - Hamidreza Jamaati
- Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Reza Raoufy
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
- Institute for Brain Sciences and Cognition, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| |
Collapse
|
3
|
Yang F, Tian J, Yuan P, Liu C, Zhang X, Yang L, Jiang Y. Unconscious and Conscious Gaze-Triggered Attentional Orienting: Distinguishing Innate and Acquired Components of Social Attention in Children and Adults with Autistic Traits and Autism Spectrum Disorders. RESEARCH (WASHINGTON, D.C.) 2024; 7:0417. [PMID: 38988610 PMCID: PMC11233194 DOI: 10.34133/research.0417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 06/04/2024] [Indexed: 07/12/2024]
Abstract
Typically developing (TD) individuals can readily orient attention according to others' eye-gaze direction, an ability known as social attention, which involves both innate and acquired components. To distinguish between these two components, we used a critical flicker fusion technique to render gaze cues invisible to participants, thereby largely reducing influences from consciously acquired strategies. Results revealed that both visible and invisible gaze cues could trigger attentional orienting in TD adults (aged 20 to 30 years) and children (aged 6 to 12 years). Intriguingly, only the ability to involuntarily respond to invisible gaze cues was negatively correlated with autistic traits among all TD participants. This ability was substantially impaired in adults with autism spectrum disorder (ASD) and in children with high autistic traits. No such association or reduction was observed with visible gaze cues. These findings provide compelling evidence for the functional demarcation of conscious and unconscious gaze-triggered attentional orienting that emerges early in life and develops into adulthood, shedding new light on the differentiation of the innate and acquired aspects of social attention. Moreover, they contribute to a comprehensive understanding of social endophenotypes of ASD.
Collapse
Affiliation(s)
- Fang Yang
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, P.R. China
- Department of Psychology and College of Life Science, University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Junbin Tian
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Beijing, P.R. China
| | - Peijun Yuan
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, P.R. China
- Department of Psychology and College of Life Science, University of Chinese Academy of Sciences, Beijing, P.R. China
| | - Chunyan Liu
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, P.R. China
- Department of Psychology and College of Life Science, University of Chinese Academy of Sciences, Beijing, P.R. China
- School of Education and Psychology, University of Jinan, Jinan, P.R. China
| | - Xinyuan Zhang
- School of New Media, Financial & Economic News, Guangdong University of Finance, Guangzhou, P.R. China
| | - Li Yang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Beijing, P.R. China
| | - Yi Jiang
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, P.R. China
- Department of Psychology and College of Life Science, University of Chinese Academy of Sciences, Beijing, P.R. China
| |
Collapse
|
4
|
Xu J, Pei Y, Yu Q, Zhang K, Ren Y. The modulation of task relevance on emotion-induced blindness depends on whether targets and distractors belong to the same category. Cogn Emot 2024:1-12. [PMID: 38953391 DOI: 10.1080/02699931.2024.2369894] [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: 11/22/2023] [Accepted: 06/14/2024] [Indexed: 07/04/2024]
Abstract
Previous research on emotion-induced blindness (EIB) argues emotional distractors capture attention in a bottom-up manner due to their physical and emotional salience. However, recent research has shown it is controversial whether EIB will be modulated by top-down factors. The present study further investigated whether the magnitude of EIB would be modulated by top-down factors, specifically the emotional relevance between tasks and distractors. Participants were divided into two groups having the same targets except for different task instructions. The orientation judgment group was asked to judge the orientation of the target (an emotionally irrelevant task), and the emotion judgment group was required to judge the emotional valence of the target (an emotionally relevant task). It was found the emotional relevance between tasks and distractors has no modulation on the magnitudes of EIB in two groups when targets and distractors are from different categories (Experiment 1), but a modulation when they are from the same category (Experiment 2). Consequently, we contend top-down task relevance modulates the EIB effect and distractors' priority is regulated by the emotional relevance between tasks and distractors. The current study holds attentional capture by stimulus-driven is unconditional in EIB, while attentional capture by goal-driven requires certain conditions.
Collapse
Affiliation(s)
- Jiaxin Xu
- School of Psychology, Shandong Normal University, Jinan, People's Republic of China
| | - Yingming Pei
- School of Psychology, Shandong Normal University, Jinan, People's Republic of China
| | - Qingyue Yu
- School of Psychology, Shandong Normal University, Jinan, People's Republic of China
| | - Kexin Zhang
- School of Psychology, Shandong Normal University, Jinan, People's Republic of China
| | - Yanju Ren
- School of Psychology, Shandong Normal University, Jinan, People's Republic of China
| |
Collapse
|
5
|
Zhang J, Zhu X, Zhou H, Wang S. Behavioral and neural mechanisms of face-specific attention during goal-directed visual search. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.24.600413. [PMID: 38979217 PMCID: PMC11230280 DOI: 10.1101/2024.06.24.600413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Goal-directed visual attention is a fundamental cognitive process that enables animals to selectively focus on specific regions of the visual field while filtering out irrelevant information. However, given the domain specificity of social behaviors, it remains unclear whether attention to faces versus non-faces recruits different neurocognitive processes. In this study, we simultaneously recorded activity from temporal and frontal nodes of the attention network while macaques performed a goal-directed visual search task. V4 and inferotemporal (IT) visual category-selective units, selected during cue presentation, discriminated fixations on targets and distractors during the search, but were differentially engaged by face and house targets. V4 and IT category-selective units also encoded fixation transitions and search dynamics. Compared to distractors, fixations on targets reduced spike-LFP coherence within the temporal cortex. Importantly, target-induced desynchronization between the temporal and prefrontal cortices was only evident for face targets, suggesting that attention to faces differentially engaged the prefrontal cortex. We further revealed bidirectional theta influence between the temporal and prefrontal cortices using Granger causality, which was again disproportionate for faces. Finally, we showed that the search became more efficient with increasing target-induced desynchronization. Together, our results suggest domain specificity for attending to faces and an intricate interplay between visual attention and social processing neural networks.
Collapse
|
6
|
Zhang J, Zhou H, Wang S. Distinct visual processing networks for foveal and peripheral visual fields. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.24.600415. [PMID: 38979165 PMCID: PMC11230199 DOI: 10.1101/2024.06.24.600415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Foveal and peripheral vision are two distinct modes of visual processing essential for navigating the world. However, it remains unclear if they engage different neural mechanisms and circuits within the visual attentional system. Here, we trained macaques to perform a free-gaze visual search task using natural face and object stimuli and recorded a large number of 14588 visually responsive neurons from a broadly distributed network of brain regions involved in visual attentional processing. Foveal and peripheral units had substantially different proportions across brain regions and exhibited systematic differences in encoding visual information and visual attention. The spike-LFP coherence of foveal units was more extensively modulated by both attention and visual selectivity, thus indicating differential engagement of the attention and visual coding network compared to peripheral units. Furthermore, we delineated the interaction and coordination between foveal and peripheral processing for spatial attention and saccade selection. Finally, the search became more efficient with increasing target-induced desynchronization, and foveal and peripheral units exhibited different correlations between neural responses and search behavior. Together, the systematic differences between foveal and peripheral processing provide valuable insights into how the brain processes and integrates visual information from different regions of the visual field. Significance Statement This study investigates the systematic differences between foveal and peripheral vision, two crucial components of visual processing essential for navigating our surroundings. By simultaneously recording from a large number of neurons in the visual attentional neural network, we revealed substantial variations in the proportion and functional characteristics of foveal and peripheral units across different brain regions. We uncovered differential modulation of functional connectivity by attention and visual selectivity, elucidated the intricate interplay between foveal and peripheral processing in spatial attention and saccade selection, and linked neural responses to search behavior. Overall, our study contributes to a deeper understanding of how the brain processes and integrates visual information for active visual behaviors.
Collapse
|
7
|
Zhang J, Cao R, Zhu X, Zhou H, Wang S. Distinct attentional profile and functional connectivity of neurons with visual feature coding in the primate brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.24.600401. [PMID: 38979388 PMCID: PMC11230157 DOI: 10.1101/2024.06.24.600401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Visual attention and object recognition are two critical cognitive functions that significantly influence our perception of the world. While these neural processes converge on the temporal cortex, the exact nature of their interactions remains largely unclear. Here, we systematically investigated the interplay between visual attention and object feature coding by training macaques to perform a free-gaze visual search task using natural face and object stimuli. With a large number of units recorded from multiple brain areas, we discovered that units exhibiting visual feature coding displayed a distinct attentional response profile and functional connectivity compared to units not exhibiting feature coding. Attention directed towards search targets enhanced the pattern separation of stimuli across brain areas, and this enhancement was more pronounced for units encoding visual features. Our findings suggest two stages of neural processing, with the early stage primarily focused on processing visual features and the late stage dedicated to processing attention. Importantly, feature coding in the early stage could predict the attentional effect in the late stage. Together, our results suggest an intricate interplay between visual feature and attention coding in the primate brain, which can be attributed to the differential functional connectivity and neural networks engaged in these processes.
Collapse
|
8
|
Peterson BS, Li J, Trujillo M, Sawardekar S, Balyozian D, Bansal S, Sun BF, Marcelino C, Nanda A, Xu T, Amen D, Bansal R. A multi-site 99mTc-HMPAO SPECT study of cerebral blood flow in a community sample of patients with major depression. Transl Psychiatry 2024; 14:234. [PMID: 38830866 PMCID: PMC11148018 DOI: 10.1038/s41398-024-02961-5] [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: 09/04/2023] [Revised: 05/09/2024] [Accepted: 05/23/2024] [Indexed: 06/05/2024] Open
Abstract
Prior regional Cerebral Blood Flow (rCBF) studies in Major Depressive Disorder (MDD) have been limited by small, highly selective, non-representative samples that have yielded variable and poorly replicated findings. The aim of this study was to compare rCBF measures in a large, more representative community sample of adults with MDD and healthy control participants. This is a cross-sectional, retrospective multi-site cohort study in which clinical data from 338 patients 18-65 years of age with a primary diagnosis of MDD were retrieved from a central database for 8 privately owned, private-pay outpatient psychiatric centers across the United States. Two 99mTc-HMPAO SPECT brain scans, one at rest and one during performance of a continuous performance task, were acquired as a routine component of their initial clinical evaluation. In total, 103 healthy controls, 18-65 years old and recruited from the community were also assessed and scanned. Depressed patients had significantly higher rCBF in frontal, anterior cingulate, and association cortices, and in basal ganglia, thalamus, and cerebellum, after accounting for significantly higher overall CBF. Depression severity associated positively with rCBF in the basal ganglia, hippocampus, cerebellum, and posterior white matter. Elevated rCBF was especially prominent in women and older patients. Elevated rCBF likely represents pathogenic hypermetabolism in MDD, with its magnitude in direct proportion to depression severity. It is brain-wide, with disproportionate increases in cortical and subcortical attentional networks. Hypermetabolism may be a reasonable target for novel therapeutics in MDD.
Collapse
Affiliation(s)
- Bradley S Peterson
- Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA.
- Department of Psychiatry, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA.
| | - Jennifer Li
- Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA
| | - Manuel Trujillo
- Department of Psychiatry at NYU Grossman School of Medicine, New York, NY, USA
- Amen Clinics Inc., Costa Mesa, CA, USA
| | - Siddhant Sawardekar
- Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - David Balyozian
- Department of Psychiatry, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA
| | - Siddharth Bansal
- Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Bernice F Sun
- Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Courtney Marcelino
- Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Anoop Nanda
- Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Tracy Xu
- Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | | | - Ravi Bansal
- Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA
| |
Collapse
|
9
|
Haigh A, Buckby B. Rhythmic Attention and ADHD: A Narrative and Systematic Review. Appl Psychophysiol Biofeedback 2024; 49:185-204. [PMID: 38198019 DOI: 10.1007/s10484-023-09618-x] [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] [Accepted: 12/24/2023] [Indexed: 01/11/2024]
Abstract
In recent decades, a growing body of evidence has confirmed the existence of rhythmic fluctuations in attention, but the effect of inter-individual variations in these attentional rhythms has yet to be investigated. The aim of this review is to identify trends in the attention deficit/hyperactivity disorder (ADHD) literature that could be indicative of between-subject differences in rhythmic attention. A narrative review of the rhythmic attention and electrophysiological ADHD research literature was conducted, and the commonly-reported difference in slow-wave power between ADHD subjects and controls was found to have the most relevance to an understanding of rhythmic attention. A systematic review of the literature examining electrophysiological power differences in ADHD was then conducted to identify studies with conditions similar to those utilised in the rhythmic attention research literature. Fifteen relevant studies were identified and reviewed. The most consistent finding in the studies reviewed was for no spectral power differences between ADHD subjects and controls. However, the strongest trend in the studies reporting power differences was for higher power in the delta and theta frequency bands and lower power in the alpha band. In the context of rhythmic attention, this trend is suggestive of a slowing in the frequency and/or increase in the amplitude of the attentional oscillation in a subgroup of ADHD subjects. It is suggested that this characteristic electrophysiological modulation could be indicative of a global slowing of the attentional rhythm and/or an increase in the rhythmic recruitment of neurons in frontal attention networks in individuals with ADHD.
Collapse
Affiliation(s)
- Andrew Haigh
- Department of Psychology, James Cook University, Townsville, Australia.
| | - Beryl Buckby
- Department of Psychology, James Cook University, Townsville, Australia
| |
Collapse
|
10
|
Toba MN, Malkinson TS, Howells H, Mackie MA, Spagna A. Same, Same but Different? A Multi-Method Review of the Processes Underlying Executive Control. Neuropsychol Rev 2024; 34:418-454. [PMID: 36967445 DOI: 10.1007/s11065-023-09577-4] [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: 02/17/2022] [Accepted: 09/26/2022] [Indexed: 03/29/2023]
Abstract
Attention, working memory, and executive control are commonly considered distinct cognitive functions with important reciprocal interactions. Yet, longstanding evidence from lesion studies has demonstrated both overlap and dissociation in their behavioural expression and anatomical underpinnings, suggesting that a lower dimensional framework could be employed to further identify processes supporting goal-directed behaviour. Here, we describe the anatomical and functional correspondence between attention, working memory, and executive control by providing an overview of cognitive models, as well as recent data from lesion studies, invasive and non-invasive multimodal neuroimaging and brain stimulation. We emphasize the benefits of considering converging evidence from multiple methodologies centred on the identification of brain mechanisms supporting goal-driven behaviour. We propose that expanding on this approach should enable the construction of a comprehensive anatomo-functional framework with testable new hypotheses, and aid clinical neuroscience to intervene on impairments of executive functions.
Collapse
Affiliation(s)
- Monica N Toba
- Laboratory of Functional Neurosciences (UR UPJV 4559), University Hospital of Amiens and University of Picardie Jules Verne, Amiens, France.
- CHU Amiens Picardie - Site Sud, Centre Universitaire de Recherche en Santé, Avenue René Laënnec, 80054, Amiens Cedex 1, France.
| | - Tal Seidel Malkinson
- Paris Brain Institute, ICM, Hôpital de La Pitié-Salpêtrière, Sorbonne Université, Inserm U 1127, CNRS UMR 7225, 75013, Paris, France
- Université de Lorraine, CRAN, F-54000, Nancy, France
| | - Henrietta Howells
- Laboratory of Motor Control, Department of Medical Biotechnologies and Translational Medicine, Humanitas Research Hospital, IRCCS, Università Degli Studi Di Milano, Milan, Italy
| | - Melissa-Ann Mackie
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alfredo Spagna
- Department of Psychology, Columbia University, New York, NY, 10025, USA.
| |
Collapse
|
11
|
Deng H, Gao Y, Mo L, Mo C. Concurrent attention to hetero-depth surfaces in 3-D visual space is governed by theta rhythm. Psychophysiology 2024; 61:e14494. [PMID: 38041416 DOI: 10.1111/psyp.14494] [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: 06/21/2023] [Revised: 10/30/2023] [Accepted: 11/08/2023] [Indexed: 12/03/2023]
Abstract
When simultaneously confronted with multiple attentional targets, visual system employs a time-multiplexing approach in which each target alternates for prioritized access, a mechanism broadly known as rhythmic attentional sampling. For the past decade, rhythmic attentional sampling has received mounting support from converging behavioral and neural findings. However, so compelling are these findings that a critical test ground has been long overshadowed, namely the 3-D visual space where attention is complicated by extraction of the spatial layout of surfaces extending beyond 2-D planes. It remains unknown how attentional deployment to multiple targets is accomplished in the 3-D space. Here, we provided a time-resolved portrait of the behavioral and neural dynamics when participants concurrently attended to two surfaces defined by motion-depth conjunctions. To characterize the moment-to-moment attentional modulation effects, we measured perceptual sensitivity to the hetero-depth surface motions on a fine temporal scale and reconstructed their neural representations using a time-resolved multivariate inverted encoding model. We found that the perceptual sensitivity to the two surface motions rhythmically fluctuated over time at ~4 Hz, with one's enhancement closely tracked by the other's diminishment. Moreover, the behavioral pattern was coupled with an ongoing periodic alternation in strength between the two surface motion representations in the same frequency. Together, our findings provide the first converging evidence of an attentional "pendulum" that rhythmically traverses different stereoscopic depth planes and are indicative of a ubiquitous attentional time multiplexor based on theta rhythm in the 3-D visual space.
Collapse
Affiliation(s)
- Hongyu Deng
- School of Psychology, Center for Studies of Psychological Application, South China Normal University, Guangzhou, P.R. China
| | - Yuan Gao
- School of Psychology, Center for Studies of Psychological Application, South China Normal University, Guangzhou, P.R. China
| | - Lei Mo
- School of Psychology, Center for Studies of Psychological Application, South China Normal University, Guangzhou, P.R. China
| | - Ce Mo
- Department of Psychology, Sun-Yat-Sen University, Guangzhou, P.R. China
| |
Collapse
|
12
|
DeYoe EA, Huddleston W, Greenberg AS. Are neuronal mechanisms of attention universal across human sensory and motor brain maps? Psychon Bull Rev 2024:10.3758/s13423-024-02495-3. [PMID: 38587756 DOI: 10.3758/s13423-024-02495-3] [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: 03/10/2024] [Indexed: 04/09/2024]
Abstract
One's experience of shifting attention from the color to the smell to the act of picking a flower seems like a unitary process applied, at will, to one modality after another. Yet, the unique and separable experiences of sight versus smell versus movement might suggest that the neural mechanisms of attention have been separately optimized to employ each modality to its greatest advantage. Moreover, addressing the issue of universality can be particularly difficult due to a paucity of existing cross-modal comparisons and a dearth of neurophysiological methods that can be applied equally well across disparate modalities. Here we outline some of the conceptual and methodological issues related to this problem and present an instructive example of an experimental approach that can be applied widely throughout the human brain to permit detailed, quantitative comparison of attentional mechanisms across modalities. The ultimate goal is to spur efforts across disciplines to provide a large and varied database of empirical observations that will either support the notion of a universal neural substrate for attention or more clearly identify the degree to which attentional mechanisms are specialized for each modality.
Collapse
Affiliation(s)
- Edgar A DeYoe
- Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI, 53226, USA.
- , Signal Mountain, USA.
| | - Wendy Huddleston
- School of Rehabilitation Sciences and Technology, College of Health Professions and Sciences, University of Wisconsin - Milwaukee, 3409 N. Downer Ave, Milwaukee, WI, 53211, USA
| | - Adam S Greenberg
- Department of Biomedical Engineering, Medical College of Wisconsin and Marquette University, Milwaukee, WI, 53226, USA
| |
Collapse
|
13
|
Seidel Malkinson T, Bayle DJ, Kaufmann BC, Liu J, Bourgeois A, Lehongre K, Fernandez-Vidal S, Navarro V, Lambrecq V, Adam C, Margulies DS, Sitt JD, Bartolomeo P. Intracortical recordings reveal vision-to-action cortical gradients driving human exogenous attention. Nat Commun 2024; 15:2586. [PMID: 38531880 DOI: 10.1038/s41467-024-46013-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 02/09/2024] [Indexed: 03/28/2024] Open
Abstract
Exogenous attention, the process that makes external salient stimuli pop-out of a visual scene, is essential for survival. How attention-capturing events modulate human brain processing remains unclear. Here we show how the psychological construct of exogenous attention gradually emerges over large-scale gradients in the human cortex, by analyzing activity from 1,403 intracortical contacts implanted in 28 individuals, while they performed an exogenous attention task. The timing, location and task-relevance of attentional events defined a spatiotemporal gradient of three neural clusters, which mapped onto cortical gradients and presented a hierarchy of timescales. Visual attributes modulated neural activity at one end of the gradient, while at the other end it reflected the upcoming response timing, with attentional effects occurring at the intersection of visual and response signals. These findings challenge multi-step models of attention, and suggest that frontoparietal networks, which process sequential stimuli as separate events sharing the same location, drive exogenous attention phenomena such as inhibition of return.
Collapse
Affiliation(s)
- Tal Seidel Malkinson
- Sorbonne Université, Inserm UMRS 1127, CNRS UMR 7225, Paris Brain Institute, ICM, Hôpital de la Pitié-Salpêtrière, 75013, Paris, France.
- Université de Lorraine, CNRS, IMoPA, F-54000, Nancy, France.
| | - Dimitri J Bayle
- Licae Lab, Université Paris Ouest-La Défense, 92000, Nanterre, France
| | - Brigitte C Kaufmann
- Sorbonne Université, Inserm UMRS 1127, CNRS UMR 7225, Paris Brain Institute, ICM, Hôpital de la Pitié-Salpêtrière, 75013, Paris, France
| | - Jianghao Liu
- Sorbonne Université, Inserm UMRS 1127, CNRS UMR 7225, Paris Brain Institute, ICM, Hôpital de la Pitié-Salpêtrière, 75013, Paris, France
- Dassault Systèmes, Vélizy-Villacoublay, France
| | - Alexia Bourgeois
- Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, 1206, Geneva, Switzerland
| | - Katia Lehongre
- CENIR - Centre de Neuro-Imagerie de Recherche, Paris Brain Institute, ICM, Hôpital de la Pitié-Salpêtrière, 75013, Paris, France
| | - Sara Fernandez-Vidal
- CENIR - Centre de Neuro-Imagerie de Recherche, Paris Brain Institute, ICM, Hôpital de la Pitié-Salpêtrière, 75013, Paris, France
| | - Vincent Navarro
- Sorbonne Université, Inserm UMRS 1127, CNRS UMR 7225, Paris Brain Institute, ICM, Hôpital de la Pitié-Salpêtrière, 75013, Paris, France
- AP-HP, Epilepsy and EEG Units, Pitié-Salpêtrière Hospital, 75013, Paris, France
- Reference center of rare epilepsies, EpiCare, Pitié-Salpêtrière Hospital, 75013, Paris, France
| | - Virginie Lambrecq
- Sorbonne Université, Inserm UMRS 1127, CNRS UMR 7225, Paris Brain Institute, ICM, Hôpital de la Pitié-Salpêtrière, 75013, Paris, France
- AP-HP, Epilepsy and EEG Units, Pitié-Salpêtrière Hospital, 75013, Paris, France
- Reference center of rare epilepsies, EpiCare, Pitié-Salpêtrière Hospital, 75013, Paris, France
| | - Claude Adam
- Sorbonne Université, Inserm UMRS 1127, CNRS UMR 7225, Paris Brain Institute, ICM, Hôpital de la Pitié-Salpêtrière, 75013, Paris, France
- AP-HP, Epilepsy and EEG Units, Pitié-Salpêtrière Hospital, 75013, Paris, France
- Reference center of rare epilepsies, EpiCare, Pitié-Salpêtrière Hospital, 75013, Paris, France
| | - Daniel S Margulies
- Laboratoire INCC, équipe Perception, Action, Cognition, Université de Paris, 75005, Paris, France
| | - Jacobo D Sitt
- Sorbonne Université, Inserm UMRS 1127, CNRS UMR 7225, Paris Brain Institute, ICM, Hôpital de la Pitié-Salpêtrière, 75013, Paris, France
| | - Paolo Bartolomeo
- Sorbonne Université, Inserm UMRS 1127, CNRS UMR 7225, Paris Brain Institute, ICM, Hôpital de la Pitié-Salpêtrière, 75013, Paris, France
| |
Collapse
|
14
|
Raynal E, Schipper K, Brandner C, Ruggeri P, Barral J. Electrocortical correlates of attention differentiate individual capacity in associative learning. NPJ SCIENCE OF LEARNING 2024; 9:20. [PMID: 38499525 PMCID: PMC10948854 DOI: 10.1038/s41539-024-00236-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 03/07/2024] [Indexed: 03/20/2024]
Abstract
Associative learning abilities vary considerably among individuals, with attentional processes suggested to play a role in these variations. However, the relationship between attentional processes and individual differences in associative learning remains unclear, and whether these variations reflect in event-related potentials (ERPs) is unknown. This study aimed to investigate the relationship between attentional processes and associative learning by recording electrocortical activity of 38 young adults (18-32 years) during an associative learning task. Learning performance was assessed using the signal detection index d'. EEG topographic analyses and source localizations were applied to examine the neural correlates of attention and associative learning. Results revealed that better learning scores are associated with (1) topographic differences during early (126-148 ms) processing of the stimulus, coinciding with a P1 ERP component, which corresponded to a participation of the precuneus (BA 7), (2) topographic differences at 573-638 ms, overlapping with an increase of global field power at 530-600 ms, coinciding with a P3b ERP component and localized within the superior frontal gyrus (BA11) and (3) an increase of global field power at 322-507 ms, underlay by a stronger participation of the middle occipital gyrus (BA 19). These insights into the neural mechanisms underlying individual differences in associative learning suggest that better learners engage attentional processes more efficiently than weaker learners, making more resources available and displaying increased functional activity in areas involved in early attentional processes (BA7) and decision-making processes (BA11) during an associative learning task. This highlights the crucial role of attentional mechanisms in individual learning variability.
Collapse
Affiliation(s)
- Elsa Raynal
- Brain Electrophysiology Attention Movement Laboratory, Institute of Psychology, University of Lausanne, Lausanne, Switzerland.
| | - Kate Schipper
- Brain Electrophysiology Attention Movement Laboratory, Institute of Psychology, University of Lausanne, Lausanne, Switzerland
- Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland
| | - Catherine Brandner
- Brain Electrophysiology Attention Movement Laboratory, Institute of Psychology, University of Lausanne, Lausanne, Switzerland
| | - Paolo Ruggeri
- Brain Electrophysiology Attention Movement Laboratory, Institute of Psychology, University of Lausanne, Lausanne, Switzerland
| | - Jérôme Barral
- Brain Electrophysiology Attention Movement Laboratory, Institute of Psychology, University of Lausanne, Lausanne, Switzerland
- Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland
| |
Collapse
|
15
|
Jahn CI, Markov NT, Morea B, Daw ND, Ebitz RB, Buschman TJ. Learning attentional templates for value-based decision-making. Cell 2024; 187:1476-1489.e21. [PMID: 38401541 DOI: 10.1016/j.cell.2024.01.041] [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: 07/10/2023] [Revised: 12/18/2023] [Accepted: 01/25/2024] [Indexed: 02/26/2024]
Abstract
Attention filters sensory inputs to enhance task-relevant information. It is guided by an "attentional template" that represents the stimulus features that are currently relevant. To understand how the brain learns and uses templates, we trained monkeys to perform a visual search task that required them to repeatedly learn new attentional templates. Neural recordings found that templates were represented across the prefrontal and parietal cortex in a structured manner, such that perceptually neighboring templates had similar neural representations. When the task changed, a new attentional template was learned by incrementally shifting the template toward rewarded features. Finally, we found that attentional templates transformed stimulus features into a common value representation that allowed the same decision-making mechanisms to deploy attention, regardless of the identity of the template. Altogether, our results provide insight into the neural mechanisms by which the brain learns to control attention and how attention can be flexibly deployed across tasks.
Collapse
Affiliation(s)
- Caroline I Jahn
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA.
| | - Nikola T Markov
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA
| | - Britney Morea
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA
| | - Nathaniel D Daw
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA; Department of Psychology, Princeton University, Princeton, NJ 08540, USA
| | - R Becket Ebitz
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA; Department of Neurosciences, Université de Montréal, Montréal, QC H3C 3J7, Canada
| | - Timothy J Buschman
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA; Department of Psychology, Princeton University, Princeton, NJ 08540, USA.
| |
Collapse
|
16
|
Tune S, Obleser J. Neural attentional filters and behavioural outcome follow independent individual trajectories over the adult lifespan. eLife 2024; 12:RP92079. [PMID: 38470243 DOI: 10.7554/elife.92079] [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] [Indexed: 03/13/2024] Open
Abstract
Preserved communication abilities promote healthy ageing. To this end, the age-typical loss of sensory acuity might in part be compensated for by an individual's preserved attentional neural filtering. Is such a compensatory brain-behaviour link longitudinally stable? Can it predict individual change in listening behaviour? We here show that individual listening behaviour and neural filtering ability follow largely independent developmental trajectories modelling electroencephalographic and behavioural data of N = 105 ageing individuals (39-82 y). First, despite the expected decline in hearing-threshold-derived sensory acuity, listening-task performance proved stable over 2 y. Second, neural filtering and behaviour were correlated only within each separate measurement timepoint (T1, T2). Longitudinally, however, our results raise caution on attention-guided neural filtering metrics as predictors of individual trajectories in listening behaviour: neither neural filtering at T1 nor its 2-year change could predict individual 2-year behavioural change, under a combination of modelling strategies.
Collapse
Affiliation(s)
- Sarah Tune
- Center of Brain, Behavior, and Metabolism, University of Lübeck, Lübeck, Germany
- Department of Psychology, University of Lübeck, Lübeck, Germany
| | - Jonas Obleser
- Center of Brain, Behavior, and Metabolism, University of Lübeck, Lübeck, Germany
- Department of Psychology, University of Lübeck, Lübeck, Germany
| |
Collapse
|
17
|
Barnes-Scheufler CV, Rösler L, Schaum M, Schiweck C, Peters B, Mayer JS, Reif A, Wibral M, Bittner RA. External cues improve visual working memory encoding in the presence of salient distractors in schizophrenia. Psychol Med 2024:1-10. [PMID: 38436135 DOI: 10.1017/s0033291724000059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
BACKGROUND People with schizophrenia (PSZ) are impaired in attentional prioritization of non-salient but relevant stimuli over salient distractors during visual working memory (VWM) encoding. Conversely, guidance of top-down attention by external predictive cues is intact. Yet, it is unknown whether this preserved ability can help PSZ encode more information in the presence of salient distractors. METHODS We employed a visuospatial change-detection task using four Gabor patches with differing orientations in 66 PSZ and 74 healthy controls (HCS). Two Gabor patches flickered which were designated either as targets or distractors and either a predictive or a non-predictive cue was displayed to manipulate top-down attention, resulting in four conditions. RESULTS We observed significant effects of group, salience and cue as well as significant interactions of salience by cue, group by salience and group by cue. Across all conditions, PSZ stored significantly less information in VWM than HCS. PSZ stored significantly less non-flickering than flickering information with a non-predictive cue. However, PSZ stored significantly more flickering and non-flickering information with a predictive cue. CONCLUSIONS Our findings indicate that control of attentional selection is impaired in schizophrenia. We demonstrate that additional top-down information significantly improves performance in PSZ. The observed deficit in attentional control suggests a disturbance of GABAergic inhibition in early visual areas. Moreover, our findings are indicative of a mechanism for enhancing attentional control in PSZ, which could be utilized by pro-cognitive interventions. Thus, the current paradigm is suitable to reveal both preserved and compromised cognitive component processes in schizophrenia.
Collapse
Affiliation(s)
- Catherine V Barnes-Scheufler
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Lara Rösler
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
- Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Michael Schaum
- Leibniz Institute for Resilience Research, Mainz, Germany
| | - Carmen Schiweck
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Benjamin Peters
- Institute of Medical Psychology, Goethe University Frankfurt, Frankfurt, Germany
- Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
| | - Jutta S Mayer
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Michael Wibral
- Campus Institute for Dynamics of Biological Networks, Georg-August University, Göttingen, Germany
| | - Robert A Bittner
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
- Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany
| |
Collapse
|
18
|
Chang YJ, Chen YI, Yeh HC, Santacruz SR. Neurobiologically realistic neural network enables cross-scale modeling of neural dynamics. Sci Rep 2024; 14:5145. [PMID: 38429297 PMCID: PMC10907713 DOI: 10.1038/s41598-024-54593-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: 08/02/2023] [Accepted: 02/14/2024] [Indexed: 03/03/2024] Open
Abstract
Fundamental principles underlying computation in multi-scale brain networks illustrate how multiple brain areas and their coordinated activity give rise to complex cognitive functions. Whereas brain activity has been studied at the micro- to meso-scale to reveal the connections between the dynamical patterns and the behaviors, investigations of neural population dynamics are mainly limited to single-scale analysis. Our goal is to develop a cross-scale dynamical model for the collective activity of neuronal populations. Here we introduce a bio-inspired deep learning approach, termed NeuroBondGraph Network (NBGNet), to capture cross-scale dynamics that can infer and map the neural data from multiple scales. Our model not only exhibits more than an 11-fold improvement in reconstruction accuracy, but also predicts synchronous neural activity and preserves correlated low-dimensional latent dynamics. We also show that the NBGNet robustly predicts held-out data across a long time scale (2 weeks) without retraining. We further validate the effective connectivity defined from our model by demonstrating that neural connectivity during motor behaviour agrees with the established neuroanatomical hierarchy of motor control in the literature. The NBGNet approach opens the door to revealing a comprehensive understanding of brain computation, where network mechanisms of multi-scale activity are critical.
Collapse
Affiliation(s)
- Yin-Jui Chang
- Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Yuan-I Chen
- Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Hsin-Chih Yeh
- Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA
- Texas Materials Institute, The University of Texas at Austin, Austin, TX, USA
| | - Samantha R Santacruz
- Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
- Institute for Neuroscience, The University of Texas at Austin, Austin, TX, USA.
- Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.
| |
Collapse
|
19
|
Gershon Z, Bonito-Oliva A, Kanke M, Terceros A, Rankin G, Fak J, Harada Y, Iannone AF, Gebremedhin M, Fabella B, De Marco Garcia NV, Sethupathy P, Rajasethupathy P. Genetic mapping identifies Homer1 as a developmental modifier of attention. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.03.17.533136. [PMID: 36993710 PMCID: PMC10055164 DOI: 10.1101/2023.03.17.533136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Attention is required for most higher-order cognitive functions. Prior studies have revealed functional roles for the prefrontal cortex and its extended circuits to enabling attention, but the underlying molecular processes and their impacts on cellular and circuit function remain poorly understood. To develop insights, we here took an unbiased forward genetics approach to identify single genes of large effect on attention. We studied 200 genetically diverse mice on measures of pre-attentive processing and through genetic mapping identified a small locus on chromosome 13 (95%CI: 92.22-94.09 Mb) driving substantial variation (19%) in this trait. Further characterization of the locus revealed a causative gene, Homer1, encoding a synaptic protein, where down-regulation of its short isoforms in prefrontal cortex (PFC) during early postnatal development led to improvements in multiple measures of attention in the adult. Subsequent mechanistic studies revealed that prefrontal Homer1 down-regulation is associated with GABAergic receptor up-regulation in those same cells. This enhanced inhibitory influence, together with dynamic neuromodulatory coupling, led to strikingly low PFC activity at baseline periods of the task but targeted elevations at cue onset, predicting short-latency correct choices. Notably high-Homer1, low-attentional performers, exhibited uniformly elevated PFC activity throughout the task. We thus identify a single gene of large effect on attention - Homer1 - and find that it improves prefrontal inhibitory tone and signal-to-noise (SNR) to enhance attentional performance. A therapeutic strategy focused on reducing prefrontal activity and increasing SNR, rather than uniformly elevating PFC activity, may complement the use of stimulants to improve attention.
Collapse
Affiliation(s)
- Zachary Gershon
- Laboratory of Neural Dynamics & Cognition, Rockefeller University; New York, NY 10065 USA
| | | | - Matt Kanke
- Department of Biomedical Sciences, Cornell University; Ithaca, NY 14853 USA
| | - Andrea Terceros
- Laboratory of Neural Dynamics & Cognition, Rockefeller University; New York, NY 10065 USA
| | - Genelle Rankin
- Laboratory of Neural Dynamics & Cognition, Rockefeller University; New York, NY 10065 USA
| | - John Fak
- Laboratory of Neural Dynamics & Cognition, Rockefeller University; New York, NY 10065 USA
| | - Yujin Harada
- Laboratory of Neural Dynamics & Cognition, Rockefeller University; New York, NY 10065 USA
| | - Andrew F. Iannone
- Feil Family Brain and Mind Research Institute, Weill Cornell; New York, NY 10021, USA
| | - Millennium Gebremedhin
- Laboratory of Neural Dynamics & Cognition, Rockefeller University; New York, NY 10065 USA
| | - Brian Fabella
- Laboratory of Sensory Neuroscience, The Rockefeller University; New York, NY 10065, USA
| | | | - Praveen Sethupathy
- Department of Biomedical Sciences, Cornell University; Ithaca, NY 14853 USA
| | - Priya Rajasethupathy
- Laboratory of Neural Dynamics & Cognition, Rockefeller University; New York, NY 10065 USA
| |
Collapse
|
20
|
Chandrasekaran AN, Vermani A, Gupta P, Steinmetz N, Moore T, Sridharan D. Dissociable components of attention exhibit distinct neuronal signatures in primate visual cortex. SCIENCE ADVANCES 2024; 10:eadi0645. [PMID: 38306428 PMCID: PMC10836731 DOI: 10.1126/sciadv.adi0645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Accepted: 01/04/2024] [Indexed: 02/04/2024]
Abstract
Attention can be deployed in multiple forms and facilitates behavior by influencing perceptual sensitivity and choice bias. Attention is also associated with a myriad of changes in sensory neural activity. Yet, the relationship between the behavioral components of attention and the accompanying changes in neural activity remains largely unresolved. We examined this relationship by quantifying sensitivity and bias in monkeys performing a task that dissociated eye movement responses from the focus of covert attention. Unexpectedly, bias, not sensitivity, increased at the focus of covert attention, whereas sensitivity increased at the location of planned eye movements. Furthermore, neuronal activity within visual area V4 varied robustly with bias, but not sensitivity, at the focus of covert attention. In contrast, correlated variability between neuronal pairs was lowest at the location of planned eye movements, and varied with sensitivity, but not bias. Thus, dissociable behavioral components of attention exhibit distinct neuronal signatures within the visual cortex.
Collapse
Affiliation(s)
| | - Ayesha Vermani
- Centre for Neuroscience, Indian Institute of Science, Bangalore, KA, India
| | - Priyanka Gupta
- Centre for Neuroscience, Indian Institute of Science, Bangalore, KA, India
| | - Nicholas Steinmetz
- Department of Neurobiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Tirin Moore
- Department of Neurobiology, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Devarajan Sridharan
- Centre for Neuroscience, Indian Institute of Science, Bangalore, KA, India
- Computer Science and Automation, Indian Institute of Science, Bangalore, KA, India
| |
Collapse
|
21
|
Yang J, Shen L, Long Q, Li W, Zhang W, Chen Q, Han B. Electrical stimulation induced self-related auditory hallucinations correlate with oscillatory power change in the default mode network. Cereb Cortex 2024; 34:bhad473. [PMID: 38061695 DOI: 10.1093/cercor/bhad473] [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: 08/25/2023] [Revised: 11/17/2023] [Accepted: 11/18/2023] [Indexed: 01/19/2024] Open
Abstract
Self-related information is crucial in our daily lives, which has led to the proposal that there is a specific brain mechanism for processing it. Neuroimaging studies have consistently demonstrated that the default mode network (DMN) is strongly associated with the representation and processing of self-related information. However, the precise relationship between DMN activity and self-related information, particularly in terms of neural oscillations, remains largely unknown. We electrically stimulated the superior temporal and fusiform areas, using stereo-electroencephalography to investigate neural oscillations associated with elicited self-related auditory hallucinations. Twenty-two instances of auditory hallucinations were recorded and categorized into self-related and other-related conditions. Comparing oscillatory power changes within the DMN between self-related and other-related auditory hallucinations, we discovered that self-related hallucinations are associated with significantly stronger positive power changes in both alpha and gamma bands compared to other-related hallucinations. To ensure the validity of our findings, we conducted controlled analyses for factors of familiarity and clarity, which revealed that the observed effects within the DMN remain independent of these factors. These results underscore the significance of the functional role of the DMN during the processing of self-related auditory hallucinations and shed light on the relationship between self-related perception and neural oscillatory activity.
Collapse
Affiliation(s)
- Jing Yang
- Center for Studies of Psychological Application, South China Normal University, No.55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
- School of Psychology, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
| | - Lu Shen
- Center for Studies of Psychological Application, South China Normal University, No.55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
- School of Psychology, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
| | - Qiting Long
- School of Psychology, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
| | - Wenjie Li
- School of Psychology, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
| | - Wei Zhang
- Department of Neurology, Beijing Tsinghua Changgung Hospital, Litang Road No. 168, Changping District, 102218, Beijing, China
- Epilepsy Center, Shanghai Neuromedical Center, Gulang Road No. 378, Putuo District, 200331, Shanghai, China
| | - Qi Chen
- Center for Studies of Psychological Application, South China Normal University, No.55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
- School of Psychology, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
| | - Biao Han
- Center for Studies of Psychological Application, South China Normal University, No.55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
- School of Psychology, South China Normal University, No. 55, West of Zhongshan Avenue, Tianhe District, 510631, Guangzhou, China
| |
Collapse
|
22
|
Landry M, da Silva Castanheira J, Raz A, Baillet S, Sackur J. A lateralized alpha-band marker of the interference of exogenous attention over endogenous attention. Cereb Cortex 2024; 34:bhad457. [PMID: 38044466 PMCID: PMC10793586 DOI: 10.1093/cercor/bhad457] [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: 08/28/2023] [Revised: 10/27/2023] [Accepted: 10/27/2023] [Indexed: 12/05/2023] Open
Abstract
Current theories of attention differentiate exogenous from endogenous orienting of visuospatial attention. While both forms of attention orienting engage different functional systems, endogenous and exogenous attention are thought to share resources, as shown by empirical evidence of their functional interactions. The present study aims to uncover the neurobiological basis of how salient events that drive exogenous attention disrupts endogenous attention processes. We hypothesize that interference from exogenous attention over endogenous attention involves alpha-band activity, a neural marker of visuospatial attention. To test this hypothesis, we contrast the effects of endogenous attention across two experimental tasks while we recorded electroencephalography (n = 32, both sexes): a single cueing task where endogenous attention is engaged in isolation, and a double cueing task where endogenous attention is concurrently engaged with exogenous attention. Our results confirm that the concurrent engagement of exogenous attention interferes with endogenous attention processes. We also found that changes in alpha-band activity mediate the relationship between endogenous attention and its effect on task performance, and that the interference of exogenous attention on endogenous attention occurs via the moderation of this indirect effect. Altogether, our results substantiate a model of attention, whereby endogenous and exogenous attentional processes involve the same neurophysiological resources. SIGNIFICANCE STATEMENT Scientists differentiate top-down from bottom-up visuospatial attention processes. While bottom-up attention is rapidly engaged by emerging demands from the environment, top-down attention in contrast reflects slow voluntary shifts of spatial attention. Several lines of research substantiate the idea that top-down and bottom-up attentional processes involve distinct functional systems. An increasing number of studies, however, argue that both attention systems share brain processing resources. The current study examines how salient visual events that engage bottom-up processes interfere with top-down attentional processes. Using neurophysiological recordings and multivariate pattern classification techniques, the authors show that these patterns of interference occur within the alpha-band of neural activity (8-12 Hz), which implies that bottom-up and top-down attention processes share this narrow-band frequency brain resource. The results further demonstrate that patterns of alpha-band activity explains, in part, the interference between top-down and bottom-up attention at the behavioral level.
Collapse
Affiliation(s)
- Mathieu Landry
- Laboratoire de Sciences Cognitives et Psycholinguistique, ENS, PSL University, EHESS, CNRS, Paris 75005, France
| | | | - Amir Raz
- Institute for Interdisciplinary Behavioral and Brain Sciences, Chapman University, Irvine, CA, 92618, USA
| | - Sylvain Baillet
- Montreal Neurological Institute, McGill University, Montreal, Qc, H3A 2B4, Canada
| | - Jérôme Sackur
- Laboratoire de Sciences Cognitives et Psycholinguistique, ENS, PSL University, EHESS, CNRS, Paris 75005, France
- École Polytechnique, Palaiseau 91120, France
| |
Collapse
|
23
|
An SJ, Choi S, Hwang JS, Park S, Jang M, Kim M, Kwon JS. Aberrant hyperfocusing in schizophrenia indicated by elevated theta phase-gamma amplitude coupling. Clin Neurophysiol 2024; 157:88-95. [PMID: 38064931 DOI: 10.1016/j.clinph.2023.11.012] [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: 07/01/2023] [Revised: 10/27/2023] [Accepted: 11/16/2023] [Indexed: 01/13/2024]
Abstract
OBJECTIVE We aimed to investigate electroencephalographic (EEG) markers of aberrant hyperfocusing, a novel framework of impaired selective attention, in schizophrenia patients by using theta phase-gamma amplitude coupling (TGC). METHODS Fifty-four schizophrenia patients and 73 healthy controls (HCs) underwent EEG recording during an auditory oddball paradigm. For the standard and target conditions, TGC was calculated using the source signals from 25 brain regions of interest (ROIs) related to attention networks and sensory processing; TGC values were then compared across groups and conditions using two-way analysis of covariance. Correlations of altered TGC with performance on the Trail Making Test Parts A and B (TMT-A/B), were explored. RESULTS Compared to HCs, schizophrenia patients showed elevated TGC in the left inferior frontal gyrus (IFG) and superior temporal gyrus in the standard condition but not in the target condition. Correlation analyses revealed that the TGC in the left IFG was positively correlated with the TMT-A/B completion times. CONCLUSIONS Aberrant hyperfocusing, as reflected by elevated TGC in attention-related brain regions, was related to behavioral performance on the TMT-A/B in schizophrenia patients. SIGNIFICANCE This study suggests that TGC is a electrophysiological marker for aberrant hyperfocusing of attentional processes that may result in cognitive impairments in schizophrenia patients.
Collapse
Affiliation(s)
- Su-Jin An
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Sunah Choi
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Jun Seo Hwang
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Sunghyun Park
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Moonyoung Jang
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Jun Soo Kwon
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea; Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea
| |
Collapse
|
24
|
Bosco A, Sanz Diez P, Filippini M, De Vitis M, Fattori P. A focus on the multiple interfaces between action and perception and their neural correlates. Neuropsychologia 2023; 191:108722. [PMID: 37931747 DOI: 10.1016/j.neuropsychologia.2023.108722] [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: 07/26/2023] [Revised: 10/13/2023] [Accepted: 10/31/2023] [Indexed: 11/08/2023]
Abstract
Successful behaviour relies on the appropriate interplay between action and perception. The well-established dorsal and ventral stream theories depicted two distinct functional pathways for the processes of action and perception, respectively. In physiological conditions, the two pathways closely cooperate in order to produce successful adaptive behaviour. As the coupling between perception and action exists, this requires an interface that is responsible for a common reading of the two functions. Several studies have proposed different types of perception and action interfaces, suggesting their role in the creation of the shared interaction channel. In the present review, we describe three possible perception and action interfaces: i) the motor code, including common coding approaches, ii) attention, and iii) object affordance; we highlight their potential neural correlates. From this overview, a recurrent neural substrate that underlies all these interface functions appears to be crucial: the parieto-frontal circuit. This network is involved in the mirror mechanism which underlies the perception and action interfaces identified as common coding and motor code theories. The same network is also involved in the spotlight of attention and in the encoding of potential action towards objects; these are manifested in the perception and action interfaces for common attention and object affordance, respectively. Within this framework, most studies were dedicated to the description of the role of the inferior parietal lobule; growing evidence, however, suggests that the superior parietal lobule also plays a crucial role in the interplay between action and perception. The present review proposes a novel model that is inclusive of the superior parietal regions and their relative contribution to the different action and perception interfaces.
Collapse
Affiliation(s)
- A Bosco
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Piazza di Porta San Donato 2, 40126, Bologna, Italy; Alma Mater Research Institute For Human-Centered Artificial Intelligence (Alma Human AI), University of Bologna, Via Galliera 3 Bologna, 40121, Bologna, Italy.
| | - P Sanz Diez
- Carl Zeiss Vision International GmbH, Turnstrasse 27, 73430, Aalen, Germany; Institute for Ophthalmic Research, Eberhard Karls University Tuebingen, Elfriede-Aulhorn-Straße 7, 72076, Tuebingen, Germany
| | - M Filippini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Piazza di Porta San Donato 2, 40126, Bologna, Italy; Alma Mater Research Institute For Human-Centered Artificial Intelligence (Alma Human AI), University of Bologna, Via Galliera 3 Bologna, 40121, Bologna, Italy
| | - M De Vitis
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Piazza di Porta San Donato 2, 40126, Bologna, Italy
| | - P Fattori
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Piazza di Porta San Donato 2, 40126, Bologna, Italy; Alma Mater Research Institute For Human-Centered Artificial Intelligence (Alma Human AI), University of Bologna, Via Galliera 3 Bologna, 40121, Bologna, Italy
| |
Collapse
|
25
|
Pitzer EM, Shafer TJ, Herr DW. Identification of neurotoxicology (NT)/developmental neurotoxicology (DNT) adverse outcome pathways and key event linkages with in vitro DNT screening assays. Neurotoxicology 2023; 99:184-194. [PMID: 37866692 DOI: 10.1016/j.neuro.2023.10.007] [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: 04/14/2023] [Revised: 08/14/2023] [Accepted: 10/13/2023] [Indexed: 10/24/2023]
Abstract
There is a need to assess compounds reliably and quickly for neurotoxicity (NT) and developmental neurotoxicity (DNT). Adverse outcome pathways (AOPs) enable the mapping of molecular events to an apical endpoint in a chemical agnostic manner and have begun to be applied in NT and DNT testing frameworks. We assessed the status of NT/DNT AOPs in the AOP-Wiki (ca. 2/1/23; https://aopwiki.org/), to characterize the state of AOP development, identify strengths and knowledge gaps, elucidate areas for improvement, and describe areas for future focus. AOPs in the Wiki database were assessed for inclusion of NT/DNT molecular events and endpoints, AOP development and endorsement, as well as the linkages of key neurodevelopmental processes with in vitro new approach methods (NAMs). This review found that 41 AOPs have been proposed detailing NT/DNT, of which eight were endorsed by working parties in OECD. Further, this review determined that learning and memory is included as an adverse outcome in eight NT/DNT AOPS, often without distinction regarding the varying forms of learning and memory, regional specification, temporal dynamics, or acquisition mechanisms involved. There is also an overlap with key events (KEs) and in vitro NAMs, which synaptogenesis appeared as a common process. Overall, progress on NT/DNT AOPs could be expanded, adding in modes of action that are missing, improvement in defining apical endpoints, as well as utilizing NAMs further to develop AOPs and identify gaps in current knowledge.
Collapse
Affiliation(s)
- Emily M Pitzer
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA.
| | - Timothy J Shafer
- Center for Computational Toxicology and Exposure, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - David W Herr
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| |
Collapse
|
26
|
Raposo I, Szczepanski SM, Haaland K, Endestad T, Solbakk AK, Knight RT, Helfrich RF. Periodic attention deficits after frontoparietal lesions provide causal evidence for rhythmic attentional sampling. Curr Biol 2023; 33:4893-4904.e3. [PMID: 37852264 PMCID: PMC10842514 DOI: 10.1016/j.cub.2023.09.065] [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: 05/23/2023] [Revised: 08/08/2023] [Accepted: 09/26/2023] [Indexed: 10/20/2023]
Abstract
Contemporary models conceptualize spatial attention as a blinking spotlight that sequentially samples visual space. Hence, behavior fluctuates over time, even in states of presumed "sustained" attention. Recent evidence has suggested that rhythmic neural activity in the frontoparietal network constitutes the functional basis of rhythmic attentional sampling. However, causal evidence to support this notion remains absent. Using a lateralized spatial attention task, we addressed this issue in patients with focal lesions in the frontoparietal attention network. Our results revealed that frontoparietal lesions introduce periodic attention deficits, i.e., temporally specific behavioral deficits that are aligned with the underlying neural oscillations. Attention-guided perceptual sensitivity was on par with that of healthy controls during optimal phases but was attenuated during the less excitable sub-cycles. Theta-dependent sampling (3-8 Hz) was causally dependent on the prefrontal cortex, while high-alpha/low-beta sampling (8-14 Hz) emerged from parietal areas. Collectively, our findings reveal that lesion-induced high-amplitude, low-frequency brain activity is not epiphenomenal but has immediate behavioral consequences. More generally, these results provide causal evidence for the hypothesis that the functional architecture of attention is inherently rhythmic.
Collapse
Affiliation(s)
- Isabel Raposo
- Hertie Institute for Clinical Brain Research, University Medical Center Tübingen, 72076 Tübingen, Germany; International Max Planck Research School for the Mechanisms of Mental Function and Dysfunction, University of Tübingen, Tübingen, Germany
| | - Sara M Szczepanski
- Department of Psychology and the Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, CA 94720, USA
| | - Kathleen Haaland
- Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences, Albuquerque, NM 87102, USA
| | - Tor Endestad
- Department of Psychology, University of Oslo, 0373 Oslo, Norway; RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion, University of Oslo, 0371 Oslo, Norway
| | - Anne-Kristin Solbakk
- Department of Psychology, University of Oslo, 0373 Oslo, Norway; RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion, University of Oslo, 0371 Oslo, Norway; Department of Neurosurgery, Oslo University Hospital, 0372 Oslo, Norway; Department of Neuropsychology, Helgeland Hospital, 8656 Mosjøen, Norway
| | - Robert T Knight
- Department of Psychology and the Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, CA 94720, USA
| | - Randolph F Helfrich
- Hertie Institute for Clinical Brain Research, University Medical Center Tübingen, 72076 Tübingen, Germany.
| |
Collapse
|
27
|
Wu H, Zuo Z, Yuan Z, Zhou T, Zhuo Y, Zheng N, Chen B. Neural representation of gestalt grouping and attention effect in human visual cortex. J Neurosci Methods 2023; 399:109980. [PMID: 37783351 DOI: 10.1016/j.jneumeth.2023.109980] [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: 05/31/2023] [Revised: 08/29/2023] [Accepted: 09/29/2023] [Indexed: 10/04/2023]
Abstract
BACKGROUND The brain aggregates meaningless local sensory elements to form meaningful global patterns in a process called perceptual grouping. Current brain imaging studies have found that neural activities in V1 are modulated during visual grouping. However, how grouping is represented in each of the early visual areas, and how attention alters these representations, is still unknown. NEW METHOD We adopted MVPA to decode the specific content of perceptual grouping by comparing neural activity patterns between gratings and dot lattice stimuli which can be grouped with proximity law. Furthermore, we quantified the grouping effect by defining the strength of grouping, and assessed the effect of attention on grouping. RESULTS We found that activity patterns to proximity grouped stimuli in early visual areas resemble these to grating stimuli with the same orientations. This similarity exists even when there is no attention focused on the stimuli. The results also showed a progressive increase of representational strength of grouping from V1 to V3, and attention modulation to grouping is only significant in V3 among all the visual areas. COMPARISON WITH EXISTING METHODS Most of the previous work on perceptual grouping has focused on how activity amplitudes are modulated by grouping. Using MVPA, the present work successfully decoded the contents of neural activity patterns corresponding to proximity grouping stimuli, thus shed light on the availability of content-decoding approach in the research on perceptual grouping. CONCLUSIONS Our work found that the content of the neural activity patterns during perceptual grouping can be decoded in the early visual areas under both attended and unattended task, and provide novel evidence that there is a cascade processing for proximity grouping through V1 to V3. The strength of grouping was larger in V3 than in any other visual areas, and the attention modulation to the strength of grouping was only significant in V3 among all the visual areas, implying that V3 plays an important role in proximity grouping.
Collapse
Affiliation(s)
- Hao Wu
- School of Electrical Engineering, Xi'an University of Technology, Xi'an, Shaanxi 710048, China
| | - Zhentao Zuo
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China.
| | - Zejian Yuan
- National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi'an, Shaanxi 710049, China; Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
| | - Tiangang Zhou
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Yan Zhuo
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Nanning Zheng
- National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi'an, Shaanxi 710049, China; Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
| | - Badong Chen
- National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi'an, Shaanxi 710049, China; Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
| |
Collapse
|
28
|
Dubey A, Markowitz DA, Pesaran B. Top-down control of exogenous attentional selection is mediated by beta coherence in prefrontal cortex. Neuron 2023; 111:3321-3334.e5. [PMID: 37499660 PMCID: PMC10935562 DOI: 10.1016/j.neuron.2023.06.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 11/30/2022] [Accepted: 06/26/2023] [Indexed: 07/29/2023]
Abstract
Salience-driven exogenous and goal-driven endogenous attentional selection are two distinct forms of attention that guide selection of task-irrelevant and task-relevant targets in primates. Top-down attentional control mechanisms enable selection of the task-relevant target by limiting the influence of sensory information. Although the lateral prefrontal cortex (LPFC) is known to mediate top-down control, the neuronal mechanisms of top-down control of attentional selection are poorly understood. Here, we trained two rhesus monkeys on a two-target, free-choice luminance-reward selection task. We demonstrate that visual-movement (VM) neurons and nonvisual neurons or movement neurons encode exogenous and endogenous selection. We then show that coherent beta activity selectively modulates mechanisms of exogenous selection specifically during conflict and consequently may support top-down control. These results reveal the VM-neuron-specific network mechanisms of attentional selection and suggest a functional role for beta-frequency coherent neural dynamics in the modulation of sensory communication channels for the top-down control of attentional selection.
Collapse
Affiliation(s)
- Agrita Dubey
- Center for Neural Science, New York University, New York, NY 10003, USA
| | - David A Markowitz
- Center for Neural Science, New York University, New York, NY 10003, USA
| | - Bijan Pesaran
- Center for Neural Science, New York University, New York, NY 10003, USA; Departments of Neurosurgery, Neuroscience, and Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
| |
Collapse
|
29
|
Itthipuripat S, Phangwiwat T, Wiwatphonthana P, Sawetsuttipan P, Chang KY, Störmer VS, Woodman GF, Serences JT. Dissociable Neural Mechanisms Underlie the Effects of Attention on Visual Appearance and Response Bias. J Neurosci 2023; 43:6628-6652. [PMID: 37620156 PMCID: PMC10538590 DOI: 10.1523/jneurosci.2192-22.2023] [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: 10/20/2022] [Revised: 07/10/2023] [Accepted: 08/13/2023] [Indexed: 08/26/2023] Open
Abstract
A prominent theoretical framework spanning philosophy, psychology, and neuroscience holds that selective attention penetrates early stages of perceptual processing to alter the subjective visual experience of behaviorally relevant stimuli. For example, searching for a red apple at the grocery store might make the relevant color appear brighter and more saturated compared with seeing the exact same red apple while searching for a yellow banana. In contrast, recent proposals argue that data supporting attention-related changes in appearance reflect decision- and motor-level response biases without concurrent changes in perceptual experience. Here, we tested these accounts by evaluating attentional modulations of EEG responses recorded from male and female human subjects while they compared the perceived contrast of attended and unattended visual stimuli rendered at different levels of physical contrast. We found that attention enhanced the amplitude of the P1 component, an early evoked potential measured over visual cortex. A linking model based on signal detection theory suggests that response gain modulations of the P1 component track attention-induced changes in perceived contrast as measured with behavior. In contrast, attentional cues induced changes in the baseline amplitude of posterior alpha band oscillations (∼9-12 Hz), an effect that best accounts for cue-induced response biases, particularly when no stimuli are presented or when competing stimuli are similar and decisional uncertainty is high. The observation of dissociable neural markers that are linked to changes in subjective appearance and response bias supports a more unified theoretical account and demonstrates an approach to isolate subjective aspects of selective information processing.SIGNIFICANCE STATEMENT Does attention alter visual appearance, or does it simply induce response bias? In the present study, we examined these competing accounts using EEG and linking models based on signal detection theory. We found that response gain modulations of the visually evoked P1 component best accounted for attention-induced changes in visual appearance. In contrast, cue-induced baseline shifts in alpha band activity better explained response biases. Together, these results suggest that attention concurrently impacts visual appearance and response bias, and that these processes can be experimentally isolated.
Collapse
Affiliation(s)
- Sirawaj Itthipuripat
- Neuroscience Center for Research and Innovation, Learning Institute, King Mongkut’s University of Technology Thonburi, Bangkok, 10140, Thailand
- Big Data Experience Center, King Mongkut’s University of Technology Thonburi, Bangkok, 10140, Thailand
| | - Tanagrit Phangwiwat
- Neuroscience Center for Research and Innovation, Learning Institute, King Mongkut’s University of Technology Thonburi, Bangkok, 10140, Thailand
- Big Data Experience Center, King Mongkut’s University of Technology Thonburi, Bangkok, 10140, Thailand
- Computer Engineering Department, Faculty of Engineering, King Mongkut’s University of Technology Thonburi Bangkok, 10140, Thailand
| | - Praewpiraya Wiwatphonthana
- Neuroscience Center for Research and Innovation, Learning Institute, King Mongkut’s University of Technology Thonburi, Bangkok, 10140, Thailand
- SECCLO Consortium, Department of Computer Science, Aalto University School of Science, Espoo, 02150, Finland
| | - Prapasiri Sawetsuttipan
- Neuroscience Center for Research and Innovation, Learning Institute, King Mongkut’s University of Technology Thonburi, Bangkok, 10140, Thailand
- Big Data Experience Center, King Mongkut’s University of Technology Thonburi, Bangkok, 10140, Thailand
- Computer Engineering Department, Faculty of Engineering, King Mongkut’s University of Technology Thonburi Bangkok, 10140, Thailand
| | - Kai-Yu Chang
- Department of Cognitive Science, University of California–San Diego, La Jolla, California 92093-1090
| | - Viola S. Störmer
- Department of Psychological and Brain Science, Dartmouth College, Hanover, New Hampshire 03755
| | - Geoffrey F. Woodman
- Department of Psychology, Center for Integrative and Cognitive Neuroscience, and Interdisciplinary Program in Neuroscience, Vanderbilt University, Nashville, Tennessee 37235
| | - John T. Serences
- Neurosciences Graduate Program, Department of Psychology, University of California–San Diego, La Jolla, California 92093-1090
| |
Collapse
|
30
|
Wilcox RR, Barbey AK. Connectome-based predictive modeling of fluid intelligence: evidence for a global system of functionally integrated brain networks. Cereb Cortex 2023; 33:10322-10331. [PMID: 37526284 DOI: 10.1093/cercor/bhad284] [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: 01/14/2023] [Revised: 06/21/2023] [Accepted: 07/16/2023] [Indexed: 08/02/2023] Open
Abstract
Cognitive neuroscience continues to advance our understanding of the neural foundations of human intelligence, with significant progress elucidating the role of the frontoparietal network in cognitive control mechanisms for flexible, intelligent behavior. Recent evidence in network neuroscience further suggests that this finding may represent the tip of the iceberg and that fluid intelligence may depend on the collective interaction of multiple brain networks. However, the global brain mechanisms underlying fluid intelligence and the nature of multi-network interactions remain to be well established. We therefore conducted a large-scale Connectome-based Predictive Modeling study, administering resting-state fMRI to 159 healthy college students and examining the contributions of seven intrinsic connectivity networks to the prediction of fluid intelligence, as measured by a state-of-the-art cognitive task (the Bochum Matrices Test). Specifically, we aimed to: (i) identify whether fluid intelligence relies on a primary brain network or instead engages multiple brain networks; and (ii) elucidate the nature of brain network interactions by assessing network allegiance (within- versus between-network connections) and network topology (strong versus weak connections) in the prediction of fluid intelligence. Our results demonstrate that whole-brain predictive models account for a large and significant proportion of variance in fluid intelligence (18%) and illustrate that the contribution of individual networks is relatively modest by comparison. In addition, we provide novel evidence that the global architecture of fluid intelligence prioritizes between-network connections and flexibility through weak ties. Our findings support a network neuroscience approach to understanding the collective role of brain networks in fluid intelligence and elucidate the system-wide network mechanisms from which flexible, adaptive behavior is constructed.
Collapse
Affiliation(s)
- Ramsey R Wilcox
- Decision Neuroscience Laboratory, University of Nebraska-Lincoln, NE 68501, United States
- Center for Brain, Biology, and Behavior, University of Nebraska-Lincoln, NE 68501, United States
- Department of Psychology, University of Nebraska-Lincoln, NE 68501, United States
- Department of Psychology, University of Illinois, Urbana, IL 61801, United States
| | - Aron K Barbey
- Decision Neuroscience Laboratory, University of Nebraska-Lincoln, NE 68501, United States
- Center for Brain, Biology, and Behavior, University of Nebraska-Lincoln, NE 68501, United States
- Department of Psychology, University of Nebraska-Lincoln, NE 68501, United States
- Department of Psychology, University of Illinois, Urbana, IL 61801, United States
- Department of Bioengineering, University of Illinois, Urbana, IL 61801, United States
| |
Collapse
|
31
|
Odean NN, Sanayei M, Shadlen MN. Transient Oscillations of Neural Firing Rate Associated With Routing of Evidence in a Perceptual Decision. J Neurosci 2023; 43:6369-6383. [PMID: 37550053 PMCID: PMC10500999 DOI: 10.1523/jneurosci.2200-22.2023] [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: 11/03/2022] [Revised: 07/07/2023] [Accepted: 07/12/2023] [Indexed: 08/09/2023] Open
Abstract
To form a perceptual decision, the brain must acquire samples of evidence from the environment and incorporate them in computations that mediate choice behavior. While much is known about the neural circuits that process sensory information and those that form decisions, less is known about the mechanisms that establish the functional linkage between them. We trained monkeys of both sexes to make difficult decisions about the net direction of visual motion under conditions that required trial-by-trial control of functional connectivity. In one condition, the motion appeared at different locations on different trials. In the other, two motion patches appeared, only one of which was informative. Neurons in the parietal cortex produced brief oscillations in their firing rate at the time routing was established: upon onset of the motion display when its location was unpredictable across trials, and upon onset of an attention cue that indicated in which of two locations an informative patch of dots would appear. The oscillation was absent when the stimulus location was fixed across trials. We interpret the oscillation as a manifestation of the mechanism that establishes the source and destination of flexibly routed information, but not the transmission of the information per se Significance Statement It has often been suggested that oscillations in neural activity might serve a role in routing information appropriately. We observe an oscillation in neural firing rate in the lateral intraparietal area consistent with such a role. The oscillations are transient. They coincide with the establishment of routing, but they do not appear to play a role in the transmission (or conveyance) of the routed information itself.
Collapse
Affiliation(s)
- Naomi N Odean
- Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, New York 10025
| | - Mehdi Sanayei
- Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, New York 10025
| | - Michael N Shadlen
- Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, New York 10025
- Howard Hughes Medical Institute, Columbia University, New York, New York 10025
- Kavli Institute, New York, New York 10025
| |
Collapse
|
32
|
Han Z, Liu T, Shi Z, Zhang J, Suo D, Wang L, Chen D, Wu J, Yan T. Investigating the heterogeneity within the somatosensory-motor network and its relationship with the attention and default systems. PNAS NEXUS 2023; 2:pgad276. [PMID: 37693210 PMCID: PMC10485902 DOI: 10.1093/pnasnexus/pgad276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 06/23/2023] [Accepted: 08/14/2023] [Indexed: 09/12/2023]
Abstract
The somatosensory-motor network (SMN) not only plays an important role in primary somatosensory and motor processing but is also central to many disorders. However, the SMN heterogeneity related to higher-order systems still remains unclear. Here, we investigated SMN heterogeneity from multiple perspectives. To characterize the SMN substructures in more detail, we used ultra-high-field functional MRI to delineate a finer-grained cortical parcellation containing 430 parcels that is more homogenous than the state-of-the-art parcellation. We personalized the new parcellation to account for individual differences and identified multiscale individual-specific brain structures. We found that the SMN subnetworks showed distinct resting-state functional connectivity (RSFC) patterns. The Hand subnetwork was central within the SMN and exhibited stronger RSFC with the attention systems than the other subnetworks, whereas the Tongue subnetwork exhibited stronger RSFC with the default systems. This two-fold differentiation was observed in the temporal ordering patterns within the SMN. Furthermore, we characterized how the distinct attention and default streams were carried forward into the functions of the SMN using dynamic causal modeling and identified two behavioral domains associated with this SMN fractionation using meta-analytic tools. Overall, our findings provided important insights into the heterogeneous SMN organization at the system level and suggested that the Hand subnetwork may be preferentially involved in exogenous processes, whereas the Tongue subnetwork may be more important in endogenous processes.
Collapse
Affiliation(s)
- Ziteng Han
- School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
| | - Tiantian Liu
- School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
| | - Zhongyan Shi
- School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
| | - Jian Zhang
- School of Mechatronical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
| | - Dingjie Suo
- School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
| | - Li Wang
- School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
| | - Duanduan Chen
- School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
| | - Jinglong Wu
- School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
| | - Tianyi Yan
- School of Medical Technology, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian District, Beijing 100081, China
| |
Collapse
|
33
|
Brown JA, Clancy KJ, Chen C, Zeng Y, Qin S, Ding M, Li W. Transcranial stimulation of alpha oscillations modulates brain state dynamics in sustained attention. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.27.542583. [PMID: 37398325 PMCID: PMC10312462 DOI: 10.1101/2023.05.27.542583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
The brain operates an advanced complex system to support mental activities. Cognition is thought to emerge from dynamic states of the complex brain system, which are organized spatially through large-scale neural networks and temporally via neural synchrony. However, specific mechanisms underlying these processes remain obscure. Applying high-definition alpha-frequency transcranial alternating-current stimulation (HD α-tACS) in a continuous performance task (CPT) during functional resonance imaging (fMRI), we causally elucidate these major organizational architectures in a key cognitive operation-sustained attention. We demonstrated that α-tACS enhanced both electroencephalogram (EEG) alpha power and sustained attention, in a correlated fashion. Akin to temporal fluctuations inherent in sustained attention, our hidden Markov modeling (HMM) of fMRI timeseries uncovered several recurrent, dynamic brain states, which were organized through a few major neural networks and regulated by the alpha oscillation. Specifically, during sustain attention, α-tACS regulated the temporal dynamics of the brain states by suppressing a Task-Negative state (characterized by activation of the default mode network/DMN) and Distraction state (with activation of the ventral attention and visual networks). These findings thus linked dynamic states of major neural networks and alpha oscillations, providing important insights into systems-level mechanisms of attention. They also highlight the efficacy of non-invasive oscillatory neuromodulation in probing the functioning of the complex brain system and encourage future clinical applications to improve neural systems health and cognitive performance.
Collapse
Affiliation(s)
- Joshua A. Brown
- Department of Psychology, Florida State University, Tallahassee, FL
| | - Kevin J. Clancy
- Department of Psychology, Florida State University, Tallahassee, FL
| | - Chaowen Chen
- Department of Psychology, Florida State University, Tallahassee, FL
- Tallahassee Memorial Healthcare, Tallahassee, FL
| | - Yimeng Zeng
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Shaozheng Qin
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Mingzhou Ding
- J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL
| | - Wen Li
- Department of Psychology, Florida State University, Tallahassee, FL
| |
Collapse
|
34
|
Wang Y, Chen Z, Ma G, Wang L, Liu Y, Qin M, Fei X, Wu Y, Xu M, Zhang S. A frontal transcallosal inhibition loop mediates interhemispheric balance in visuospatial processing. Nat Commun 2023; 14:5213. [PMID: 37626171 PMCID: PMC10457336 DOI: 10.1038/s41467-023-40985-5] [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: 01/31/2023] [Accepted: 08/17/2023] [Indexed: 08/27/2023] Open
Abstract
Interhemispheric communication through the corpus callosum is required for both sensory and cognitive processes. Impaired transcallosal inhibition causing interhemispheric imbalance is believed to underlie visuospatial bias after frontoparietal cortical damage, but the synaptic circuits involved remain largely unknown. Here, we show that lesions in the mouse anterior cingulate area (ACA) cause severe visuospatial bias mediated by a transcallosal inhibition loop. In a visual-change-detection task, ACA callosal-projection neurons (CPNs) were more active with contralateral visual field changes than with ipsilateral changes. Unilateral CPN inactivation impaired contralateral change detection but improved ipsilateral detection by altering interhemispheric interaction through callosal projections. CPNs strongly activated contralateral parvalbumin-positive (PV+) neurons, and callosal-input-driven PV+ neurons preferentially inhibited ipsilateral CPNs, thus mediating transcallosal inhibition. Unilateral PV+ neuron activation caused a similar behavioral bias to contralateral CPN activation and ipsilateral CPN inactivation, and bilateral PV+ neuron activation eliminated this bias. Notably, restoring interhemispheric balance by activating contralesional PV+ neurons significantly improved contralesional detection in ACA-lesioned animals. Thus, a frontal transcallosal inhibition loop comprising CPNs and callosal-input-driven PV+ neurons mediates interhemispheric balance in visuospatial processing, and enhancing contralesional transcallosal inhibition restores interhemispheric balance while also reversing lesion-induced bias.
Collapse
Affiliation(s)
- Yanjie Wang
- Songjiang Research Institute, Shanghai Songjiang District Central Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200025, China
- Center for Brain Science of Shanghai Children's Medical Center, Department of Anatomy and Physiology, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Zhaonan Chen
- Songjiang Research Institute, Shanghai Songjiang District Central Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200025, China
- Center for Brain Science of Shanghai Children's Medical Center, Department of Anatomy and Physiology, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Guofen Ma
- Songjiang Research Institute, Shanghai Songjiang District Central Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200025, China
- Center for Brain Science of Shanghai Children's Medical Center, Department of Anatomy and Physiology, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Lizhao Wang
- Songjiang Research Institute, Shanghai Songjiang District Central Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200025, China
- Center for Brain Science of Shanghai Children's Medical Center, Department of Anatomy and Physiology, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yanmei Liu
- Songjiang Research Institute, Shanghai Songjiang District Central Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200025, China
- Center for Brain Science of Shanghai Children's Medical Center, Department of Anatomy and Physiology, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Meiling Qin
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xiang Fei
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yifan Wu
- Songjiang Research Institute, Shanghai Songjiang District Central Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200025, China
- Center for Brain Science of Shanghai Children's Medical Center, Department of Anatomy and Physiology, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Min Xu
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Siyu Zhang
- Songjiang Research Institute, Shanghai Songjiang District Central Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, 200025, China.
- Center for Brain Science of Shanghai Children's Medical Center, Department of Anatomy and Physiology, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| |
Collapse
|
35
|
Golubickis M, Macrae CN. Self-Prioritization Reconsidered: Scrutinizing Three Claims. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE 2023; 18:876-886. [PMID: 36356105 PMCID: PMC10336703 DOI: 10.1177/17456916221131273] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
Such is the power of self-relevance, it has been argued that even arbitrary stimuli (e.g., shapes, lines, colors) with no prior personal connection are privileged during information processing following their association with the self (i.e., self-prioritization). This prioritization effect, moreover, is deemed to be stimulus driven (i.e., automatic), grounded in perception, and supported by specialized processing operations. Here, however, we scrutinize these claims and challenge this viewpoint. Although self-relevance unquestionably influences information processing, we contend that, at least at present, there is limited evidence to suggest that the prioritization of arbitrary self-related stimuli is compulsory, penetrates perception, and is underpinned by activity in a dedicated neural network. Rather, self-prioritization appears to be a task-dependent product of ordinary cognitive processes.
Collapse
|
36
|
Greene AS, Horien C, Barson D, Scheinost D, Constable RT. Why is everyone talking about brain state? Trends Neurosci 2023; 46:508-524. [PMID: 37164869 PMCID: PMC10330476 DOI: 10.1016/j.tins.2023.04.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 03/17/2023] [Accepted: 04/07/2023] [Indexed: 05/12/2023]
Abstract
The rapid and coordinated propagation of neural activity across the brain provides the foundation for complex behavior and cognition. Technical advances across neuroscience subfields have advanced understanding of these dynamics, but points of convergence are often obscured by semantic differences, creating silos of subfield-specific findings. In this review we describe how a parsimonious conceptualization of brain state as the fundamental building block of whole-brain activity offers a common framework to relate findings across scales and species. We present examples of the diverse techniques commonly used to study brain states associated with physiology and higher-order cognitive processes, and discuss how integration across them will enable a more comprehensive and mechanistic characterization of the neural dynamics that are crucial to survival but are disrupted in disease.
Collapse
Affiliation(s)
- Abigail S Greene
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06520, USA; MD/PhD program, Yale School of Medicine, New Haven, CT 06520, USA.
| | - Corey Horien
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06520, USA; MD/PhD program, Yale School of Medicine, New Haven, CT 06520, USA.
| | - Daniel Barson
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06520, USA; MD/PhD program, Yale School of Medicine, New Haven, CT 06520, USA; Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA.
| | - Dustin Scheinost
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06520, USA; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA; Department of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, CT 06520, USA; Department of Statistics and Data Science, Yale University, New Haven, CT 06511, USA; Child Study Center, Yale School of Medicine, New Haven, CT 06520, USA
| | - R Todd Constable
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06520, USA; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520, USA; Department of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, CT 06520, USA; Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06520, USA
| |
Collapse
|
37
|
Huang H, Li R, Zhang J. A review of visual sustained attention: neural mechanisms and computational models. PeerJ 2023; 11:e15351. [PMID: 37334118 PMCID: PMC10274610 DOI: 10.7717/peerj.15351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 04/13/2023] [Indexed: 06/20/2023] Open
Abstract
Sustained attention is one of the basic abilities of humans to maintain concentration on relevant information while ignoring irrelevant information over extended periods. The purpose of the review is to provide insight into how to integrate neural mechanisms of sustained attention with computational models to facilitate research and application. Although many studies have assessed attention, the evaluation of humans' sustained attention is not sufficiently comprehensive. Hence, this study provides a current review on both neural mechanisms and computational models of visual sustained attention. We first review models, measurements, and neural mechanisms of sustained attention and propose plausible neural pathways for visual sustained attention. Next, we analyze and compare the different computational models of sustained attention that the previous reviews have not systematically summarized. We then provide computational models for automatically detecting vigilance states and evaluation of sustained attention. Finally, we outline possible future trends in the research field of sustained attention.
Collapse
Affiliation(s)
- Huimin Huang
- National Engineering Research Center for E-learning, Central China Normal University, Wuhan, Hubei, China
| | - Rui Li
- National Engineering Research Center for E-learning, Central China Normal University, Wuhan, Hubei, China
| | - Junsong Zhang
- Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian, China
| |
Collapse
|
38
|
Callan DE, Fukada T, Dehais F, Ishii S. The role of brain-localized gamma and alpha oscillations in inattentional deafness: implications for understanding human attention. Front Hum Neurosci 2023; 17:1168108. [PMID: 37305364 PMCID: PMC10248426 DOI: 10.3389/fnhum.2023.1168108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/27/2023] [Indexed: 06/13/2023] Open
Abstract
Introduction The processes involved in how the attention system selectively focuses on perceptual and motor aspects related to a specific task, while suppressing features of other tasks and/or objects in the environment, are of considerable interest for cognitive neuroscience. The goal of this experiment was to investigate neural processes involved in selective attention and performance under multi-task situations. Several studies have suggested that attention-related gamma-band activity facilitates processing in task-specific modalities, while alpha-band activity inhibits processing in non-task-related modalities. However, investigations into the phenomenon of inattentional deafness/blindness (inability to observe stimuli in non-dominant task when primary task is demanding) have yet to observe gamma-band activity. Methods This EEG experiment utilizes an engaging whole-body perceptual motor task while carrying out a secondary auditory detection task to investigate neural correlates of inattentional deafness in natural immersive high workload conditions. Differences between hits and misses on the auditory detection task in the gamma (30-50 Hz) and alpha frequency (8-12 Hz) range were carried out at the cortical source level using LORETA. Results Participant auditory task performance correlated with an increase in gamma-band activity for hits over misses pre- and post-stimulus in left auditory processing regions. Alpha-band activity was greater for misses relative to hits in right auditory processing regions pre- and post-stimulus onset. These results are consistent with the facilitatory/inhibitory role of gamma/alpha-band activity for neural processing. Additional gamma- and alpha-band activity was found in frontal and parietal brain regions which are thought to reflect various attentional monitoring, selection, and switching processes. Discussion The results of this study help to elucidate the role of gamma and alpha frequency bands in frontal and modality-specific regions involved with selective attention in multi-task immersive situations.
Collapse
Affiliation(s)
- Daniel E. Callan
- Brain Information Communication Research Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan
- Institut Supérieur de l'Aéronautique et de l'Espace, University of Toulouse, Toulouse, France
| | - Takashi Fukada
- Brain Information Communication Research Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
| | - Frédéric Dehais
- Institut Supérieur de l'Aéronautique et de l'Espace, University of Toulouse, Toulouse, France
| | - Shin Ishii
- Brain Information Communication Research Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan
- Graduate School of Informatics, Kyoto University, Kyoto, Japan
| |
Collapse
|
39
|
Mentzelopoulos G, Driscoll N, Shankar S, Kim B, Rich R, Fernandez-Nunez G, Stoll H, Erickson B, Medaglia JD, Vitale F. Alerting attention is sufficient to induce a phase-dependent behavior that can be predicted by frontal EEG. Front Behav Neurosci 2023; 17:1176865. [PMID: 37292166 PMCID: PMC10246752 DOI: 10.3389/fnbeh.2023.1176865] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 04/27/2023] [Indexed: 06/10/2023] Open
Abstract
Recent studies suggest that attention is rhythmic. Whether that rhythmicity can be explained by the phase of ongoing neural oscillations, however, is still debated. We contemplate that a step toward untangling the relationship between attention and phase stems from employing simple behavioral tasks that isolate attention from other cognitive functions (perception/decision-making) and by localized monitoring of neural activity with high spatiotemporal resolution over the brain regions associated with the attentional network. In this study, we investigated whether the phase of electroencephalography (EEG) oscillations predicts alerting attention. We isolated the alerting mechanism of attention using the Psychomotor Vigilance Task, which does not involve a perceptual component, and collected high resolution EEG using novel high-density dry EEG arrays at the frontal region of the scalp. We identified that alerting attention alone is sufficient to induce a phase-dependent modulation of behavior at EEG frequencies of 3, 6, and 8 Hz throughout the frontal region, and we quantified the phase that predicts the high and low attention states in our cohort. Our findings disambiguate the relationship between EEG phase and alerting attention.
Collapse
Affiliation(s)
- Georgios Mentzelopoulos
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA, United States
- Center for Neurotrauma, Neurodegeneration, and Restoration, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, United States
| | - Nicolette Driscoll
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA, United States
- Center for Neurotrauma, Neurodegeneration, and Restoration, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, United States
| | - Sneha Shankar
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA, United States
- Center for Neurotrauma, Neurodegeneration, and Restoration, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, United States
| | - Brian Kim
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States
| | - Ryan Rich
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States
| | | | - Harrison Stoll
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States
| | - Brian Erickson
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States
| | - John Dominic Medaglia
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Department of Neurology, Drexel University, Philadelphia, PA, United States
| | - Flavia Vitale
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA, United States
- Center for Neurotrauma, Neurodegeneration, and Restoration, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, United States
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Department of Physical Medicine and Rehabilitation, University of Pennsylvania, Philadelphia, PA, United States
| |
Collapse
|
40
|
Wu YH, Podvalny E, He BJ. Spatiotemporal neural dynamics of object recognition under uncertainty in humans. eLife 2023; 12:e84797. [PMID: 37184213 PMCID: PMC10231926 DOI: 10.7554/elife.84797] [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: 11/09/2022] [Accepted: 05/12/2023] [Indexed: 05/16/2023] Open
Abstract
While there is a wealth of knowledge about core object recognition-our ability to recognize clear, high-contrast object images-how the brain accomplishes object recognition tasks under increased uncertainty remains poorly understood. We investigated the spatiotemporal neural dynamics underlying object recognition under increased uncertainty by combining MEG and 7 Tesla (7T) fMRI in humans during a threshold-level object recognition task. We observed an early, parallel rise of recognition-related signals across ventral visual and frontoparietal regions that preceded the emergence of category-related information. Recognition-related signals in ventral visual regions were best explained by a two-state representational format whereby brain activity bifurcated for recognized and unrecognized images. By contrast, recognition-related signals in frontoparietal regions exhibited a reduced representational space for recognized images, yet with sharper category information. These results provide a spatiotemporally resolved view of neural activity supporting object recognition under uncertainty, revealing a pattern distinct from that underlying core object recognition.
Collapse
Affiliation(s)
- Yuan-hao Wu
- Neuroscience Institute, New York University Grossman School of MedicineNew YorkUnited States
| | - Ella Podvalny
- Neuroscience Institute, New York University Grossman School of MedicineNew YorkUnited States
| | - Biyu J He
- Neuroscience Institute, New York University Grossman School of MedicineNew YorkUnited States
- Department of Neurology, New York University Grossman School of MedicineNew YorkUnited States
- Department of Neuroscience & Physiology, New York University Grossman School of MedicineNew YorkUnited States
- Department of Radiology, New York University Grossman School of MedicineNew YorkUnited States
| |
Collapse
|
41
|
Zheng Z, Hu Q, Bu X, Jiang H, Sui X, Li L, Chai X, Chen Y. Spatial Attention Modulates Neuronal Interactions between Simple and Complex Cells in V1. Int J Mol Sci 2023; 24:ijms24098229. [PMID: 37175939 PMCID: PMC10179430 DOI: 10.3390/ijms24098229] [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: 03/30/2023] [Revised: 04/25/2023] [Accepted: 04/29/2023] [Indexed: 05/15/2023] Open
Abstract
Visual perception is profoundly modulated by spatial attention, which can selectively prioritize goal-related information. Previous studies found spatial attention facilitated the efficacy of neuronal communication between visual cortices with hierarchical organizations. In the primary visual cortex (V1), there is also a hierarchical connection between simple (S) and complex (C) cells. We wonder whether and how spatial attention modulates neuronal communication within V1, especially for neuronal pairs with heterogeneous visual input. We simultaneously recorded the pairs' activity from macaque monkeys when they performed a spatial-attention-involved task, then applied likelihood-based Granger causality analysis to explore attentional modulation of neuronal interactions. First, a significant attention-related decrease in Granger causality was found in S-C pairs, which primarily displayed in the S-to-C feedforward connection. Second, the interaction strength of the feedforward connection was significantly higher than that of the feedback under attend toward (AT) conditions. Although information flow did not alter as the attentional focus shifted, the strength of communications between target- and distractor-stimuli-covered neurons differed only when attending to complex cells' receptive fields (RFs). Furthermore, pairs' communications depended on the attentional modulation of neurons' firing rates. Our findings demonstrate spatial attention does not induce specific information flow but rather amplifies directed communication within V1.
Collapse
Affiliation(s)
- Zhiyan Zheng
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Qiyi Hu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiangdong Bu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Hongru Jiang
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiaohong Sui
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Liming Li
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xinyu Chai
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yao Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| |
Collapse
|
42
|
Sawetsuttipan P, Phunchongharn P, Ounjai K, Salazar A, Pongsuwan S, Intrachooto S, Serences JT, Itthipuripat S. Perceptual Difficulty Regulates Attentional Gain Modulations in Human Visual Cortex. J Neurosci 2023; 43:3312-3330. [PMID: 36963848 PMCID: PMC10162463 DOI: 10.1523/jneurosci.0519-22.2023] [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: 03/03/2022] [Revised: 02/18/2023] [Accepted: 03/13/2023] [Indexed: 03/26/2023] Open
Abstract
Perceptual difficulty is sometimes used to manipulate selective attention. However, these two factors are logically distinct. Selective attention is defined by priority given to specific stimuli based on their behavioral relevance, whereas perceptual difficulty is often determined by perceptual demands required to discriminate relevant stimuli. That said, both perceptual difficulty and selective attention are thought to modulate the gain of neural responses in early sensory areas. Previous studies found that selectively attending to a stimulus or increasing perceptual difficulty enhanced the gain of neurons in visual cortex. However, some other studies suggest that perceptual difficulty can have either a null or even reversed effect on gain modulations in visual cortex. According to Yerkes-Dodson's Law, it is possible that this discrepancy arises because of an interaction between perceptual difficulty and attentional gain modulations yielding a nonlinear inverted-U function. Here, we used EEG to measure modulations in the visual cortex of male and female human participants performing an attention-cueing task where we systematically manipulated perceptual difficulty across blocks of trials. The behavioral and neural data implicate a nonlinear inverted-U relationship between selective attention and perceptual difficulty: a focused-attention cue led to larger response gain in both neural and behavioral data at intermediate difficulty levels compared with when the task was more or less difficult. Moreover, difficulty-related changes in attentional gain positively correlated with those predicted by quantitative modeling of the behavioral data. These findings suggest that perceptual difficulty mediates attention-related changes in perceptual performance via selective neural modulations in human visual cortex.SIGNIFICANCE STATEMENT Both perceptual difficulty and selective attention are thought to influence perceptual performance by modulating response gain in early sensory areas. That said, less is known about how selective attention interacts with perceptual difficulty. Here, we measured neural gain modulations in the visual cortex of human participants performing an attention-cueing task where perceptual difficulty was systematically manipulated. Consistent with Yerkes-Dodson's Law, our behavioral and neural data implicate a nonlinear inverted-U relationship between selective attention and perceptual difficulty. These results suggest that perceptual difficulty mediates attention-related changes in perceptual performance via selective neural modulations in visual cortex, extending our understanding of the attentional operation under different levels of perceptual demands.
Collapse
Affiliation(s)
- Prapasiri Sawetsuttipan
- Neuroscience Center for Research and Innovation, Learning Institute, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand
- Computer Engineering Department, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand
- Big Data Experience Center, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand
| | - Phond Phunchongharn
- Computer Engineering Department, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand
- Big Data Experience Center, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand
| | - Kajornvut Ounjai
- Neuroscience Center for Research and Innovation, Learning Institute, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand
- Biological Engineering Program, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand
| | - Annalisa Salazar
- Department of Psychology, University of California, San Diego, La Jolla, California 92093-1090
| | - Sarigga Pongsuwan
- Happiness Science Hub, Research & Innovation for Sustainability Center (RISC), Bangkok 10260, Thailand
| | - Singh Intrachooto
- Happiness Science Hub, Research & Innovation for Sustainability Center (RISC), Bangkok 10260, Thailand
| | - John T Serences
- Department of Psychology, University of California, San Diego, La Jolla, California 92093-1090
- Neurosciences Graduate Program and Kavli Foundation for the Brain and Mind, University of California, San Diego, La Jolla, California 92093-1090
| | - Sirawaj Itthipuripat
- Neuroscience Center for Research and Innovation, Learning Institute, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand
- Big Data Experience Center, King Mongkut's University of Technology Thonburi, Bangkok 10140, Thailand
| |
Collapse
|
43
|
Villa-Sánchez B, Gandolfi M, Emadi Andani M, Valè N, Rossettini G, Polesana F, Menaspà Z, Smania N, Tinazzi M, Fiorio M. Placebo effect on gait: a way to reduce the dual-task cost in older adults. Exp Brain Res 2023; 241:1501-1511. [PMID: 37085646 DOI: 10.1007/s00221-023-06620-x] [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: 11/30/2022] [Accepted: 04/15/2023] [Indexed: 04/23/2023]
Abstract
The ability to perform two tasks simultaneously is essential for daily activities. In older adults, this ability is markedly reduced, as evidenced by the dual-task cost on gait. Preliminary evidences indicate that the dual-task cost can be influenced by different types of manipulations. Here, we explored the effectiveness of a new approach to reduce the dual-task cost, based on the placebo effect, a psychobiological phenomenon whereby a positive outcome follows the administration of an inert device thought to be effective. Thirty-five healthy older adults were asked to walk on a sensorized carpet (single-task condition) and to walk while counting backward (dual-task condition) in two sessions (pre-test and post-test). A placebo group, randomly selected, underwent sham transcranial direct current stimulation over the supraorbital areas between sessions, along with information about its positive effects on concentration and attention. A control group did not receive any intervention between sessions. The dual-task cost was significantly reduced in the placebo group at the post-test session compared to the pre-test for several gait parameters (Cohen's d > 1.43). At the post-test session, the dual-task cost was also lower in the placebo group than in the control group (d > 0.73). Cognitive (number of subtractions and number of errors) and subjective (perceived mental fatigability) variables remained stable across sessions. The reduced dual-task cost in the placebo group could indicate the ability to re-establish the allocation of attentional resources between tasks. These findings could contribute to the development of cognitive strategies that leverage positive expectations to boost motor control in older adults.
Collapse
Affiliation(s)
- Bernardo Villa-Sánchez
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Via Casorati 43, 37131, Verona, Italy.
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Corso Bettini, 31, 38068, Rovereto, Italy.
| | - Marialuisa Gandolfi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Via Casorati 43, 37131, Verona, Italy
- Neuromotor and Cognitive Rehabilitation Research Center (CRRNC), University of Verona, Verona, Italy
| | - Mehran Emadi Andani
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Via Casorati 43, 37131, Verona, Italy
| | - Nicola Valè
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Via Casorati 43, 37131, Verona, Italy
- Neuromotor and Cognitive Rehabilitation Research Center (CRRNC), University of Verona, Verona, Italy
| | - Giacomo Rossettini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genoa, Italy
| | - Federico Polesana
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Via Casorati 43, 37131, Verona, Italy
| | - Zoe Menaspà
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Via Casorati 43, 37131, Verona, Italy
- Neuromotor and Cognitive Rehabilitation Research Center (CRRNC), University of Verona, Verona, Italy
| | - Nicola Smania
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Via Casorati 43, 37131, Verona, Italy
- Neuromotor and Cognitive Rehabilitation Research Center (CRRNC), University of Verona, Verona, Italy
| | - Michele Tinazzi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Via Casorati 43, 37131, Verona, Italy
| | - Mirta Fiorio
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Via Casorati 43, 37131, Verona, Italy.
| |
Collapse
|
44
|
Lui TKY, Obleser J, Wöstmann M. Slow neural oscillations explain temporal fluctuations in distractibility. Prog Neurobiol 2023; 226:102458. [PMID: 37088261 DOI: 10.1016/j.pneurobio.2023.102458] [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: 11/04/2022] [Revised: 03/06/2023] [Accepted: 04/20/2023] [Indexed: 04/25/2023]
Abstract
Human environments comprise various sources of distraction, which often occur unexpectedly in time. The proneness to distraction (i.e., distractibility) is posited to be independent of attentional sampling of targets, but its temporal dynamics and neurobiological basis are largely unknown. Brain oscillations in the theta band (3 - 8Hz) have been associated with fluctuating neural excitability, which is hypothesised here to explain rhythmic modulation of distractibility. In a pitch discrimination task (N = 30) with unexpected auditory distractors, we show that distractor-evoked neural responses in the electroencephalogram and perceptual susceptibility to distraction were co-modulated and cycled approximately 3 - 5 times per second. Pre-distractor neural phase in left inferior frontal and insular cortex regions explained fluctuating distractibility. Thus, human distractibility is not constant but fluctuates on a subsecond timescale. Furthermore, slow neural oscillations subserve the behavioural consequences of a hitherto largely unexplained but ever-increasing phenomenon in modern environments - distraction by unexpected sound.
Collapse
Affiliation(s)
- Troby Ka-Yan Lui
- Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany; Center of Brain, Behavior and Metabolism, University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany.
| | - Jonas Obleser
- Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany; Center of Brain, Behavior and Metabolism, University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
| | - Malte Wöstmann
- Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany; Center of Brain, Behavior and Metabolism, University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany.
| |
Collapse
|
45
|
Gallen CL, Hwang K, Chen AJW, Jacobs EG, Lee TG, D’Esposito M. Influence of goals on modular brain network organization during working memory. Front Behav Neurosci 2023; 17:1128610. [PMID: 37138661 PMCID: PMC10150932 DOI: 10.3389/fnbeh.2023.1128610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 03/30/2023] [Indexed: 05/05/2023] Open
Abstract
Introduction Top-down control underlies our ability to attend relevant stimuli while ignoring irrelevant, distracting stimuli and is a critical process for prioritizing information in working memory (WM). Prior work has demonstrated that top-down biasing signals modulate sensory-selective cortical areas during WM, and that the large-scale organization of the brain reconfigures due to WM demands alone; however, it is not yet understood how brain networks reconfigure between the processing of relevant versus irrelevant information in the service of WM. Methods Here, we investigated the effects of task goals on brain network organization while participants performed a WM task that required participants to detect repetitions (e.g., 0-back or 1-back) and had varying levels of visual interference (e.g., distracting, irrelevant stimuli). We quantified changes in network modularity-a measure of brain sub-network segregation-that occurred depending on overall WM task difficulty as well as trial-level task goals for each stimulus during the task conditions (e.g., relevant or irrelevant). Results First, we replicated prior work and found that whole-brain modularity was lower during the more demanding WM task conditions compared to a baseline condition. Further, during the WM conditions with varying task goals, brain modularity was selectively lower during goal-directed processing of task-relevant stimuli to be remembered for WM performance compared to processing of distracting, irrelevant stimuli. Follow-up analyses indicated that this effect of task goals was most pronounced in default mode and visual sub-networks. Finally, we examined the behavioral relevance of these changes in modularity and found that individuals with lower modularity for relevant trials had faster WM task performance. Discussion These results suggest that brain networks can dynamically reconfigure to adopt a more integrated organization with greater communication between sub-networks that supports the goal-directed processing of relevant information and guides WM.
Collapse
Affiliation(s)
- Courtney L. Gallen
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States
- Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
- Neuroscape Center, University of California, San Francisco, San Francisco, CA, United States
| | - Kai Hwang
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States
| | - Anthony J.-W. Chen
- Department of Veterans Affairs, VA Northern California Health Care System, Martinez, CA, United States
| | - Emily G. Jacobs
- Department of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, United States
| | - Taraz G. Lee
- Department of Psychology, University of Michigan, Ann Arbor, MI, United States
| | - Mark D’Esposito
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States
- Department of Veterans Affairs, VA Northern California Health Care System, Martinez, CA, United States
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| |
Collapse
|
46
|
Nobre AC, van Ede F. Attention in flux. Neuron 2023; 111:971-986. [PMID: 37023719 DOI: 10.1016/j.neuron.2023.02.032] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 04/08/2023]
Abstract
Selective attention comprises essential infrastructural functions supporting cognition-anticipating, prioritizing, selecting, routing, integrating, and preparing signals to guide adaptive behavior. Most studies have examined its consequences, systems, and mechanisms in a static way, but attention is at the confluence of multiple sources of flux. The world advances, we operate within it, our minds change, and all resulting signals progress through multiple pathways within the dynamic networks of our brains. Our aim in this review is to raise awareness of and interest in three important facets of how timing impacts our understanding of attention. These include the challenges posed to attention by the timing of neural processing and psychological functions, the opportunities conferred to attention by various temporal structures in the environment, and how tracking the time courses of neural and behavioral modulations with continuous measures yields surprising insights into the workings and principles of attention.
Collapse
Affiliation(s)
- Anna C Nobre
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK; Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK.
| | - Freek van Ede
- Institute for Brain and Behavior Amsterdam, Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam 1081BT, the Netherlands.
| |
Collapse
|
47
|
Choi MH. A Pilot Study: Extraction of a Neural Network and Feature Extraction of Generation and Reduction Mechanisms Due to Acute Stress. Brain Sci 2023; 13:519. [PMID: 36979329 PMCID: PMC10046029 DOI: 10.3390/brainsci13030519] [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: 02/24/2023] [Revised: 03/13/2023] [Accepted: 03/21/2023] [Indexed: 03/30/2023] Open
Abstract
This study aimed to compare the functional connectivity (FC) assessed during acute stress and recovery after stress using the Montreal imaging stress task (MIST) in adults in their 20s and 30s with Korean Perceived Stress Scale (PSS) scores between 15 and 19 points inclusive. Four seed networks, including the salience network, default mode network, frontoparietal network, and dorsal attention network, were specified to extract the results. Healthy male and female adults who were required to make an effort to relieve stress were exposed to acute stress tasks, and the most common FCs were observed in the salience network, default mode network, and frontoparietal network during the stress and recovery phases. Compared to the stress phase, the increased effect size was significantly different in the recovery phase. In the stress phase, characteristically common FCs were observed in the dorsal attention network. During the recovery period, Salience network (Anterior Insula, R) and Salience network (anterior cingulate cortex, ACC)/Salience network (rostral prefrontal cortex, RPFC), Salience network (AInsula) and Salience network (RPFC), and Default Mode network (posterior cingulate) cortex, PCC) and fronto-parietal network (lateral prefrontal cortex, LPFC) FC were characteristically observed.
Collapse
Affiliation(s)
- Mi-Hyun Choi
- Biomedical Engineering, Research Institute of Biomedical Engineering, School of ICT Convergence Engineering, College of Science & Technology, Konkuk University, Chungju 27478, Republic of Korea
| |
Collapse
|
48
|
Redding ZV, Sabol KE. Reduced attentional lapses in male rats following a combination treatment of low-dose D-serine and atomoxetine. J Psychopharmacol 2023; 37:204-215. [PMID: 36648101 DOI: 10.1177/02698811221149652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND Goal-directed attention involves the selective processing of behaviorally relevant sensory information. This selective processing is thought to be supported by glutamatergic and noradrenergic systems. Pharmacotherapies that simultaneously target these systems could therefore be effective treatments for impaired attention. AIMS We first tested an N-methyl-D-aspartate (NMDA) receptor co-agonist (D-serine) for effects on attention (processing speed and attentional lapses). NMDA receptor activation is thought to support noradrenergic effects on sensory processing; therefore, we tested a combination treatment comprising D-serine and a norepinephrine reuptake inhibitor (atomoxetine). METHODS D-serine was first tested in rats performing a two-choice visuospatial discrimination task. Combination treatments comprising relatively low doses of D-serine and atomoxetine were then tested in a separate group. RESULTS In experiment 1, D-serine reduced the skew of initiation time (IT) distributions (IT devmode) at the highest dose tested (300 mg/kg). In experiment 2, low-dose D-serine (125 mg/kg) had no effect, while low-dose atomoxetine (0.3 mg/kg) reduced IT devmode and slowed movement speed. Importantly, the combination of these relatively low doses of D-serine and atomoxetine reduced IT devmode more than either drug alone without further slowing movement speed. CONCLUSIONS IT devmode is thought to reflect attentional lapses; therefore, D-serine's effects on IT devmode suggest that NMDA receptors are involved in the preparatory deployment of attention. Greater effects following a combination of D-serine and atomoxetine suggest that preparatory attention can be facilitated by targeting glutamatergic and noradrenergic systems simultaneously. These results could inform the development of improved treatments for individuals with ADHD who experience abnormally high attentional lapses.
Collapse
Affiliation(s)
- Zach V Redding
- Department of Psychology, The University of Mississippi, University Park, MS, USA.,Department of Neuroscience, University of Rochester Medical Center, Rochester, NY, USA
| | - Karen E Sabol
- Department of Psychology, The University of Mississippi, University Park, MS, USA
| |
Collapse
|
49
|
Dubey A, Markowitz DA, Pesaran B. Top-down control of exogenous attentional selection is mediated by beta coherence in prefrontal cortex. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.11.523664. [PMID: 36711697 PMCID: PMC9882082 DOI: 10.1101/2023.01.11.523664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Salience-driven exogenous and goal-driven endogenous attentional selection are two distinct forms of attention that guide selection of task-irrelevant and task-relevant targets in primates. During conflict i.e, when salience and goal each favor the selection of different targets, endogenous selection of the task-relevant target relies on top-down control. Top-down attentional control mechanisms enable selection of the task-relevant target by limiting the influence of sensory information. Although the lateral prefrontal cortex (LPFC) is known to mediate top-down control, the neuronal mechanisms of top-down control of attentional selection are poorly understood. Here, using a two-target free-choice luminance-reward selection task, we demonstrate that visual-movement neurons and not visual neurons or movement neurons encode exogenous and endogenous selection. We then show that coherent-beta activity selectively modulates mechanisms of exogenous selection specifically during conflict and consequently may support top-down control. These results reveal the VM-neuron-specific network mechanisms of attentional selection and suggest a functional role for beta-frequency coherent neural dynamics in the modulation of sensory communication channels for the top-down control of attentional selection.
Collapse
Affiliation(s)
- Agrita Dubey
- Center for Neural Science, New York University, New York 10003
- Department of Neurosurgery, University of Pennsylvania, Philadelphia 19104
| | | | - Bijan Pesaran
- Center for Neural Science, New York University, New York 10003
- Department of Neurosurgery, University of Pennsylvania, Philadelphia 19104
- Department of Neuroscience, University of Pennsylvania, Philadelphia 19104
- Department of Bioengineering, University of Pennsylvania, Philadelphia 19104
| |
Collapse
|
50
|
Lin H, Pennycook G, Rand DG. Thinking more or thinking differently? Using drift-diffusion modeling to illuminate why accuracy prompts decrease misinformation sharing. Cognition 2023; 230:105312. [PMID: 36334467 DOI: 10.1016/j.cognition.2022.105312] [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: 02/24/2022] [Revised: 10/17/2022] [Accepted: 10/19/2022] [Indexed: 11/27/2022]
Abstract
Recent experiments have found that prompting people to think about accuracy reduces misinformation sharing intentions. The process by which this effect operates, however, remains unclear. Do accuracy prompts cause people to "stop and think," increasing deliberation? Or do they change what people think about, drawing attention to accuracy? Since these two accounts predict the same behavioral outcomes (i.e., increased sharing discernment following a prompt), we used computational modeling of sharing decisions with response time data, as well as out-of-sample ratings of headline perceived accuracy, to test the accounts' divergent predictions across six studies (N = 5633). The results suggest that accuracy prompts do not increase the amount of deliberation people engage in. Instead, they increase the weight participants put on accuracy while deliberating. By showing that prompting people makes them think better even without thinking more, our results challenge common dual-process interpretations of the accuracy-prompt effect. Our findings also highlight the importance of understanding how social media distracts people from considering accuracy, and provide evidence for scalable interventions that redirect people's attention.
Collapse
Affiliation(s)
- Hause Lin
- Hill/Levene Schools of Business, University of Regina, Canada; Sloan School, Massachusetts Institute of Technology, USA.
| | - Gordon Pennycook
- Hill/Levene Schools of Business, University of Regina, Canada; Department of Psychology, University of Regina, Canada
| | - David G Rand
- Sloan School, Massachusetts Institute of Technology, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, USA
| |
Collapse
|