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Nejati V, Khoshroo S, Mirikaram F. Review of spatial disability in individuals with attention deficit-hyperactivity disorder: Toward spatial cognition theory. Clin Child Psychol Psychiatry 2024; 29:312-337. [PMID: 37192629 DOI: 10.1177/13591045231176707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Spatial cognition is the ability to detect, process, integrate, and formulate the spatial aspects of the environment. Spatial abilities, as perceptual doorway of information processing, influence on higher cognitive functions. This systematic review aimed to explore impaired spatial ability in individuals with Attention Deficit-Hyperactivity Disorders (ADHD). The data from 18 empirical experiments that explored at least one factor of spatial ability in individuals with ADHD was collected in accordance with the PRISMA approach. This study discussed several determinants of impaired spatial ability, including factors, domains, tasks, and measures of spatial ability. Furthermore, the impact of age, gender, and comorbidities are discussed. Finally, a model was proposed to explain the impaired cognitive functions in children with ADHD based on spatial abilities.
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Affiliation(s)
- Vahid Nejati
- Department of Psychology, Shahid Beheshti University, Tehran, Iran
| | - Saba Khoshroo
- Department of Psychology, Shahid Beheshti University, Tehran, Iran
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Vijayabaskaran S, Cheng S. Navigation task and action space drive the emergence of egocentric and allocentric spatial representations. PLoS Comput Biol 2022; 18:e1010320. [PMID: 36315587 PMCID: PMC9648855 DOI: 10.1371/journal.pcbi.1010320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 11/10/2022] [Accepted: 10/18/2022] [Indexed: 11/12/2022] Open
Abstract
In general, strategies for spatial navigation could employ one of two spatial reference frames: egocentric or allocentric. Notwithstanding intuitive explanations, it remains unclear however under what circumstances one strategy is chosen over another, and how neural representations should be related to the chosen strategy. Here, we first use a deep reinforcement learning model to investigate whether a particular type of navigation strategy arises spontaneously during spatial learning without imposing a bias onto the model. We then examine the spatial representations that emerge in the network to support navigation. To this end, we study two tasks that are ethologically valid for mammals—guidance, where the agent has to navigate to a goal location fixed in allocentric space, and aiming, where the agent navigates to a visible cue. We find that when both navigation strategies are available to the agent, the solutions it develops for guidance and aiming are heavily biased towards the allocentric or the egocentric strategy, respectively, as one might expect. Nevertheless, the agent can learn both tasks using either type of strategy. Furthermore, we find that place-cell-like allocentric representations emerge preferentially in guidance when using an allocentric strategy, whereas egocentric vector representations emerge when using an egocentric strategy in aiming. We thus find that alongside the type of navigational strategy, the nature of the task plays a pivotal role in the type of spatial representations that emerge. Most species rely on navigation in space to find water, food, and mates, as well as to return home. When navigating, humans and animals can use one of two reference frames: one based on stable landmarks in the external environment, such as moving due north and then east, or one centered on oneself, such as moving forward and turning left. However, it remains unclear how these reference frames are chosen and interact in navigation tasks, as well as how they are supported by representations in the brain. We therefore modeled two navigation tasks that would each benefit from using one of these reference frames, and trained an artificial agent to learn to solve them through trial and error. Our results show that when given the choice, the agent leveraged the appropriate reference frame to solve the task, but surprisingly could also use the other reference frame when constrained to do so. We also show that the representations that emerge to enable the agent to solve the tasks exist on a spectrum, and are more complex than commonly thought. These representations reflect both the task and reference frame being used, and provide useful insights for the design of experimental tasks to study the use of navigational strategies.
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Affiliation(s)
| | - Sen Cheng
- Faculty of Computer Science, Ruhr University Bochum, Bochum, Germany
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Vieira de Melo BB, Trigueiro MJ, Rodrigues PP. Systematic overview of neuroanatomical differences in ADHD: Definitive evidence. Dev Neuropsychol 2017; 43:52-68. [DOI: 10.1080/87565641.2017.1414821] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Bruno Bastos Vieira de Melo
- Occupational Therapy Department, Higher School of Health, Polytechnic Institute of Porto, Porto, Portugal
- Faculty of Education Sciences, University of Vigo
| | - Maria João Trigueiro
- Occupational Therapy Department, Higher School of Health, Polytechnic Institute of Porto, Porto, Portugal
| | - Pedro Pereira Rodrigues
- CINTESIS & Community Medicine, Information and Health Decision Sciences Department, Faculty of Medicine, University of Porto, Porto, Portugal
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Marinho V, Oliveira T, Rocha K, Ribeiro J, Magalhães F, Bento T, Pinto GR, Velasques B, Ribeiro P, Di Giorgio L, Orsini M, Gupta DS, Bittencourt J, Bastos VH, Teixeira S. The dopaminergic system dynamic in the time perception: a review of the evidence. Int J Neurosci 2017; 128:262-282. [PMID: 28950734 DOI: 10.1080/00207454.2017.1385614] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Dopaminergic system plays a key role in perception, which is an important executive function of the brain. Modulation in dopaminergic system forms an important biochemical underpinning of neural mechanisms of time perception in a very wide range, from milliseconds to seconds to longer daily rhythms. Distinct types of temporal experience are poorly understood, and the relationship between processing of different intervals by the brain has received little attention. A comprehensive understanding of interval timing functions should be sought within a wider context of temporal processing, involving genetic aspects, pharmacological models, cognitive aspects, motor control and the neurological diseases with impaired dopaminergic system. Particularly, an unexplored question is whether the role of dopamine in interval timing can be integrated with the role of dopamine in non-interval timing temporal components. In this review, we explore a wider perspective of dopaminergic system, involving genetic polymorphisms, pharmacological models, executive functions and neurological diseases on the time perception. We conclude that the dopaminergic system has great participation in impact on time perception and neurobiological basis of the executive functions and neurological diseases.
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Affiliation(s)
- Victor Marinho
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil.,b Genetics and Molecular Biology Laboratory, Federal University of Piauí , Parnaíba , Brazil
| | - Thomaz Oliveira
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil.,b Genetics and Molecular Biology Laboratory, Federal University of Piauí , Parnaíba , Brazil
| | - Kaline Rocha
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Jéssica Ribeiro
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Francisco Magalhães
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Thalys Bento
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Giovanny R Pinto
- b Genetics and Molecular Biology Laboratory, Federal University of Piauí , Parnaíba , Brazil
| | - Bruna Velasques
- c Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro (IPUB/UFRJ) , Rio de Janeiro , Brazil
| | - Pedro Ribeiro
- c Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro (IPUB/UFRJ) , Rio de Janeiro , Brazil
| | - Luiza Di Giorgio
- c Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro (IPUB/UFRJ) , Rio de Janeiro , Brazil
| | - Marco Orsini
- c Brain Mapping and Sensory Motor Integration Laboratory, Institute of Psychiatry of Federal University of Rio de Janeiro (IPUB/UFRJ) , Rio de Janeiro , Brazil.,d Rehabilitation Science Program, Analysis of Human Movement Laboratory, Augusto Motta University Center (UNISUAM) , Rio de Janeiro , Brazil
| | - Daya S Gupta
- e Department of Biology , Camden County College , Blackwood , NJ , USA
| | - Juliana Bittencourt
- f Biomedical Engineering Program (COPPE), Federal University of Rio de Janeiro (UFRJ) , Rio de Janeiro , Brazil
| | - Victor Hugo Bastos
- g Brain Mapping and Functionality Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
| | - Silmar Teixeira
- a Brain Mapping and Plasticity Laboratory, Federal University of Piauí (UFPI) , Parnaíba , Brazil
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