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Qi Z, Xiong H, Zhuo J, Cao D, Liu H, Shi W, Lang Y, Liu Y, Zhang G, Jiang T. Intracranial EEGs evidenced visual object processing in the human medial temporal lobe subregions. Neuroscience 2024; 555:205-212. [PMID: 39053670 DOI: 10.1016/j.neuroscience.2024.07.030] [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: 12/30/2023] [Revised: 07/10/2024] [Accepted: 07/18/2024] [Indexed: 07/27/2024]
Abstract
The perirhinal cortex (PRC) and parahippocampal cortex (PHC) are core regions along the visual dual-stream. The specific functional roles of the PRC and PHC and their interactions with the downstream hippocampus cortex (HPC) are crucial for understanding visual memory. Our research used human intracranial EEGs to study the neural mechanism of the PRC, PHC, and HPC in visual object encoding. Single-regional function analyses found evidence that the PRC, PHC, and HPC are activated ∼100 ms within the broad-gamma band and that the PRC was more strongly activated than either the PHC or the HPC after an object stimulus. Inter-regional analyses showed strong bidirectional interactions of the PRC with both the PHC and HPC in the low-frequency band, whereas the interactions between the PHC and HPC were not significant. These findings demonstrated the core role of the PRC in encoding visual object information and supported the hypothesis of PRC-HPC-ventral object pathway. The recruitment of the PHC and its interaction with the PRC in visual object encoding also provide new insights beyond the traditional dorsal-stream hypothesis.
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Affiliation(s)
- Zihui Qi
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hui Xiong
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Junjie Zhuo
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Hainan 570228, China
| | - Dan Cao
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Hao Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weiyang Shi
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Yongcui Lang
- Department of Neurosurgery, Epilepsy Center, Aviation General Hospital, No. 3 Beiyuan Road, Chaoyang District, Beijing 100012, China
| | - Yaoling Liu
- Department of Neurosurgery, Epilepsy Center, Aviation General Hospital, No. 3 Beiyuan Road, Chaoyang District, Beijing 100012, China
| | - Guangming Zhang
- Department of Neurosurgery, Epilepsy Center, Aviation General Hospital, No. 3 Beiyuan Road, Chaoyang District, Beijing 100012, China.
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China; Xiaoxiang Institute for Brain Health and Yongzhou Central Hospital, Yongzhou 425000, Hunan Province, China.
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Kristanto D, Burkhardt M, Thiel C, Debener S, Gießing C, Hildebrandt A. The multiverse of data preprocessing and analysis in graph-based fMRI: A systematic literature review of analytical choices fed into a decision support tool for informed analysis. Neurosci Biobehav Rev 2024; 165:105846. [PMID: 39117132 DOI: 10.1016/j.neubiorev.2024.105846] [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: 01/22/2024] [Revised: 04/04/2024] [Accepted: 08/04/2024] [Indexed: 08/10/2024]
Abstract
The large number of different analytical choices used by researchers is partly responsible for the challenge of replication in neuroimaging studies. For an exhaustive robustness analysis, knowledge of the full space of analytical options is essential. We conducted a systematic literature review to identify the analytical decisions in functional neuroimaging data preprocessing and analysis in the emerging field of cognitive network neuroscience. We found 61 different steps, with 17 of them having debatable parameter choices. Scrubbing, global signal regression, and spatial smoothing are among the controversial steps. There is no standardized order in which different steps are applied, and the parameter settings within several steps vary widely across studies. By aggregating the pipelines across studies, we propose three taxonomic levels to categorize analytical choices: 1) inclusion or exclusion of specific steps, 2) parameter tuning within steps, and 3) distinct sequencing of steps. We have developed a decision support application with high educational value called METEOR to facilitate access to the data in order to design well-informed robustness (multiverse) analysis.
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Affiliation(s)
- Daniel Kristanto
- Department of Psychology, Carl von Ossietzky Universität Oldenburg, Oldenburg 26129, Germany.
| | - Micha Burkhardt
- Department of Psychology, Carl von Ossietzky Universität Oldenburg, Oldenburg 26129, Germany
| | - Christiane Thiel
- Department of Psychology, Carl von Ossietzky Universität Oldenburg, Oldenburg 26129, Germany; Research Center Neurosensory Science, Carl von Ossietzky Universität Oldenburg, Germany; Cluster of Excellence "Hearing4All", Carl von Ossietzky Universität Oldenburg, Germany
| | - Stefan Debener
- Department of Psychology, Carl von Ossietzky Universität Oldenburg, Oldenburg 26129, Germany; Research Center Neurosensory Science, Carl von Ossietzky Universität Oldenburg, Germany; Cluster of Excellence "Hearing4All", Carl von Ossietzky Universität Oldenburg, Germany
| | - Carsten Gießing
- Department of Psychology, Carl von Ossietzky Universität Oldenburg, Oldenburg 26129, Germany; Research Center Neurosensory Science, Carl von Ossietzky Universität Oldenburg, Germany.
| | - Andrea Hildebrandt
- Department of Psychology, Carl von Ossietzky Universität Oldenburg, Oldenburg 26129, Germany; Research Center Neurosensory Science, Carl von Ossietzky Universität Oldenburg, Germany; Cluster of Excellence "Hearing4All", Carl von Ossietzky Universität Oldenburg, Germany.
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Lo YT, Jiang L, Woodington B, Middya S, Braendlein M, Lam JLW, Lim MJR, Ng VYP, Rao JP, Chan DWS, Ang BT. Recording of single-unit activities with flexible micro-electrocorticographic array in rats for decoding of whole-body navigation. J Neural Eng 2024; 21:046037. [PMID: 38986465 DOI: 10.1088/1741-2552/ad618c] [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: 04/04/2024] [Accepted: 07/10/2024] [Indexed: 07/12/2024]
Abstract
Objective.Micro-electrocorticographic (μECoG) arrays are able to record neural activities from the cortical surface, without the need to penetrate the brain parenchyma. Owing in part to small electrode sizes, previous studies have demonstrated that single-unit spikes could be detected from the cortical surface, and likely from Layer I neurons of the neocortex. Here we tested the ability to useμECoG arrays to decode, in rats, body position during open field navigation, through isolated single-unit activities.Approach. μECoG arrays were chronically implanted onto primary motor cortex (M1) of Wistar rats, and neural recording was performed in awake, behaving rats in an open-field enclosure. The signals were band-pass filtered between 300-3000 Hz. Threshold-crossing spikes were identified and sorted into distinct units based on defined criteria including waveform morphology and refractory period. Body positions were derived from video recordings. We used gradient-boosting machine to predict body position based on previous 100 ms of spike data, and correlation analyses to elucidate the relationship between position and spike patterns.Main results.Single-unit spikes could be extracted during chronic recording fromμECoG, and spatial position could be decoded from these spikes with a mean absolute error of prediction of 0.135 and 0.090 in the x- and y- dimensions (of a normalized range from 0 to 1), and Pearson's r of 0.607 and 0.571, respectively.Significance. μECoG can detect single-unit activities that likely arise from superficial neurons in the cortex and is a promising alternative to intracortical arrays, with the added benefit of scalability to cover large cortical surface with minimal incremental risks. More studies should be performed in human related to its use as brain-machine interface.
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Affiliation(s)
- Yu Tung Lo
- Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Lei Jiang
- Department of Orthopaedic Surgery, Singapore General Hospital, Singapore, Singapore
| | | | | | | | | | - Mervyn Jun Rui Lim
- Department of Neurosurgery, National University Hospital, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Vincent Yew Poh Ng
- Department of Neurosurgery, National Neuroscience Institute, Singapore, Singapore
| | - Jai Prashanth Rao
- Duke-NUS Medical School, Singapore, Singapore
- Department of Neurosurgery, Singapore General Hospital, Singapore, Singapore
| | | | - Beng Ti Ang
- Department of Neurosurgery, Singapore General Hospital, Singapore, Singapore
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Meadows SM, Palaguachi F, Jang MW, Licht-Murava A, Barnett D, Zimmer TS, Zhou C, McDonough SR, Orr AL, Orr AG. Hippocampal astrocytes induce sex-dimorphic effects on memory. Cell Rep 2024; 43:114278. [PMID: 38795347 PMCID: PMC11234507 DOI: 10.1016/j.celrep.2024.114278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 03/19/2024] [Accepted: 05/09/2024] [Indexed: 05/27/2024] Open
Abstract
Astrocytic receptors influence cognitive function and can promote behavioral deficits in disease. These effects may vary based on variables such as biological sex, but it is not known if the effects of astrocytic receptors are dependent on sex. We leveraged in vivo gene editing and chemogenetics to examine the roles of astrocytic receptors in spatial memory and other processes. We show that reductions in metabotropic glutamate receptor 3 (mGluR3), the main astrocytic glutamate receptor in adults, impair memory in females but enhance memory in males. Similarly, increases in astrocytic mGluR3 levels have sex-dependent effects and enhance memory in females. mGluR3 manipulations also alter spatial search strategies during recall in a sex-specific manner. In addition, acute chemogenetic stimulation of Gi/o-coupled or Gs-coupled receptors in hippocampal astrocytes induces bidirectional and sex-dimorphic effects on memory. Thus, astrocytes are sex-dependent modulators of cognitive function and may promote sex differences in aging and disease.
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Affiliation(s)
- Samantha M Meadows
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Neuroscience Graduate Program, Weill Cornell Medicine, New York, NY 10021, USA
| | - Fernando Palaguachi
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Minwoo Wendy Jang
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Avital Licht-Murava
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Daniel Barnett
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Neuroscience Graduate Program, Weill Cornell Medicine, New York, NY 10021, USA
| | - Till S Zimmer
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA
| | - Constance Zhou
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD-PhD Program, New York, NY 10021, USA
| | - Samantha R McDonough
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Neuroscience Graduate Program, Weill Cornell Medicine, New York, NY 10021, USA
| | - Adam L Orr
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Neuroscience Graduate Program, Weill Cornell Medicine, New York, NY 10021, USA
| | - Anna G Orr
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10021, USA; Neuroscience Graduate Program, Weill Cornell Medicine, New York, NY 10021, USA; Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD-PhD Program, New York, NY 10021, USA.
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See QR, Raheel K, Duncan I, Biabani N, Di Giulio I, Romigi A, Kumari V, O’Regan D, Cairney S, Urso D, Chaudhuri KR, Gnoni V, Drakatos P, Rosenzweig I. Dreaming Characteristics in Non-Rapid Eye Movement Parasomnia and Idiopathic Rapid Eye Movement Sleep Behaviour Disorder: Similarities and Differences. Nat Sci Sleep 2024; 16:263-277. [PMID: 38482468 PMCID: PMC10933526 DOI: 10.2147/nss.s435201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/31/2024] [Indexed: 03/21/2024] Open
Abstract
Background Speech graph analysis (SGA) of dreams has recently shown promise as an objective and language-invariant diagnostic tool that can aid neuropsychiatric diagnosis. Whilst the notion that dreaming mentations reflect distinct physiologic processes is not new, such studies in patients with sleep disorders remain exceptionally scarce. Here, using SGA and other dream content analyses, we set to investigate structural and thematic differences in morning dream recalls of patients diagnosed with Non-Rapid Eye Movement Parasomnia (NREMP) and Idiopathic REM Sleep Behavior Disorder (iRBD). Methods A retrospective cross-sectional study of morning dream recalls of iRBD and NREMP patients was undertaken. Traditional dream content analyses, such as Orlinsky and Hall and Van de Castle analyses, were initially conducted. Subsequently, SGA was performed in order to objectively quantify structural speech differences between the dream recalls of the two patient groups. Results Comparable rate of morning recall of dreams in the sleep laboratory was recorded; 25% of iRBD and 18.35% of NREMP patients. Aggression in dreams was recorded by 28.57% iRBD versus 20.00% in NREMP group. iRBD patients were more likely to recall dreams (iRBD vs NREMP; P = 0.007), but they also had more white dreams, ie having a feeling of having dreamt, but with no memory of it. Visual and quantitative graph speech analyses of iRBD dreams suggested stable sequential structure, reflecting the linearity of the chronological narrative. Conversely, NREMP dream reports displayed more recursive, less stable systems, with significantly higher scores of graph connectivity measures. Conclusion The findings of our exploratory study suggest that iRBD and NREMP patients may not only differ on what is recalled in their dreams but also, perhaps more strikingly, on how dreams are recalled. It is hoped that future SGA-led dream investigations of larger groups of patients will help discern distinct mechanistic underpinnings and any associated clinical implications.
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Affiliation(s)
- Qi Rui See
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, U.K
| | - Kausar Raheel
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, U.K
| | - Iain Duncan
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, U.K
| | - Nazanin Biabani
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, U.K
| | - Irene Di Giulio
- School of Basic and Medical Biosciences, Faculty of Life Science and Medicine, King’s College London, London, U.K
| | - Andrea Romigi
- IRCCS Neuromed Istituto Neurologico Mediterraneo Pozzilli (IS), Pozzilli, Italy
| | - Veena Kumari
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, U.K
- Centre for Cognitive Neuroscience, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge, U.K
| | - David O’Regan
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, U.K
- School of Basic and Medical Biosciences, Faculty of Life Science and Medicine, King’s College London, London, U.K
- Sleep Disorders Centre, Guy’s and St Thomas’ NHS Foundation Trust, London, U.K
| | - Scott Cairney
- Department of Psychology, University of York and York Biomedical Research Institute, University of York, York, U.K
| | - Daniele Urso
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”, Tricase, Lecce, Italy
- Movement Disorders Unit, King’s College Hospital and Department of Clinical and Basic Neurosciences, Institute of Psychiatry, Psychology & Neuroscience and Parkinson Foundation Centre of Excellence, King’s College London, London, U.K
| | - K Ray Chaudhuri
- Movement Disorders Unit, King’s College Hospital and Department of Clinical and Basic Neurosciences, Institute of Psychiatry, Psychology & Neuroscience and Parkinson Foundation Centre of Excellence, King’s College London, London, U.K
| | - Valentina Gnoni
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, U.K
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari ‘Aldo Moro’, “Pia Fondazione Cardinale G. Panico”, Tricase, Lecce, Italy
| | - Panagis Drakatos
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, U.K
- School of Basic and Medical Biosciences, Faculty of Life Science and Medicine, King’s College London, London, U.K
- Sleep Disorders Centre, Guy’s and St Thomas’ NHS Foundation Trust, London, U.K
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, U.K
- Sleep Disorders Centre, Guy’s and St Thomas’ NHS Foundation Trust, London, U.K
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Rimol LM, Rise HH, Evensen KAI, Yendiki A, Løhaugen GC, Indredavik MS, Brubakk AM, Bjuland KJ, Eikenes L, Weider S, Håberg A, Skranes J. Atypical brain structure mediates reduced IQ in young adults born preterm with very low birth weight. Neuroimage 2023; 266:119816. [PMID: 36528311 DOI: 10.1016/j.neuroimage.2022.119816] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 12/05/2022] [Accepted: 12/13/2022] [Indexed: 12/15/2022] Open
Abstract
Preterm birth with very low birth weight (VLBW) confers heightened risk for perinatal brain injury and long-term cognitive deficits, including a reduction in IQ of up to one standard deviation. Persisting gray and white matter aberrations have been documented well into adolescence and adulthood in preterm born individuals. What has not been documented so far is a plausible causal link between reductions in cortical surface area or subcortical brain structure volumes, and the observed reduction in IQ. The NTNU Low Birth Weight in a Lifetime Perspective study is a prospective longitudinal cohort study, including a preterm born VLBW group (birthweight ≤1500 g) and a term born control group. Structural magnetic resonance imaging data were obtained from 38 participants aged 19, born preterm with VLBW, and 59 term-born peers. The FreeSurfer software suite was used to obtain measures of cortical thickness, cortical surface area, and subcortical brain structure volumes. Cognitive ability was estimated using the Wechsler Adult Intelligence Scale, 3rd Edition, including four IQ-indices: Verbal comprehension, Working memory, Perceptual organization, and Processing speed. Statistical mediation analyses were employed to test for indirect effects of preterm birth with VLBW on IQ, mediated by atypical brain structure. The mediation analyses revealed negative effects of preterm birth with VLBW on IQ that were partially mediated by reduced surface area in multiple regions of frontal, temporal, parietal and insular cortex, and by reductions in several subcortical brain structure volumes. The analyses did not yield sufficient evidence of mediation effects of cortical thickness on IQ. This is, to our knowledge, the first time a plausible causal relationship has been established between regional cortical area reductions, as well as reductions in specific subcortical and cerebellar structures, and general cognitive ability in preterm born survivors with VLBW.
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Affiliation(s)
- Lars M Rimol
- Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Department of Radiology and Nuclear Medicine, St. Olav University Hospital, Trondheim, Norway.
| | - Henning Hoel Rise
- Department of Radiology and Nuclear Medicine, St. Olav University Hospital, Trondheim, Norway
| | - Kari Anne I Evensen
- Department of Clinical and Molecular Medicine, NTNU, Trondheim, Norway; Department of Public Health and Nursing, NTNU, Trondheim, Norway
| | - Anastasia Yendiki
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, United States
| | - Gro C Løhaugen
- Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | | | - Ann-Mari Brubakk
- Department of Clinical and Molecular Medicine, NTNU, Trondheim, Norway
| | | | - Live Eikenes
- Department of Neuromedicine and Movement Science, NTNU, Trondheim, Norway
| | - Siri Weider
- Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Asta Håberg
- Department of Radiology and Nuclear Medicine, St. Olav University Hospital, Trondheim, Norway; Department of Circulation and Medical Imaging, NTNU, Trondheim, Norway
| | - Jon Skranes
- Department of Radiology and Nuclear Medicine, St. Olav University Hospital, Trondheim, Norway; Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
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Simon KC, Clemenson GD, Zhang J, Sattari N, Shuster AE, Clayton B, Alzueta E, Dulai T, de Zambotti M, Stark C, Baker FC, Mednick SC. Sleep facilitates spatial memory but not navigation using the Minecraft Memory and Navigation task. Proc Natl Acad Sci U S A 2022; 119:e2202394119. [PMID: 36252023 PMCID: PMC9618094 DOI: 10.1073/pnas.2202394119] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 08/04/2022] [Indexed: 11/18/2022] Open
Abstract
Sleep facilitates hippocampal-dependent memories, supporting the acquisition and maintenance of internal representation of spatial relations within an environment. In humans, however, findings have been mixed regarding sleep's contribution to spatial memory and navigation, which may be due to task designs or outcome measurements. We developed the Minecraft Memory and Navigation (MMN) task for the purpose of disentangling how spatial memory accuracy and navigation change over time, and to study sleep's independent contributions to each. In the MMN task, participants learned the locations of objects through free exploration of an open field computerized environment. At test, they were teleported to random positions around the environment and required to navigate to the remembered location of each object. In study 1, we developed and validated four unique MMN environments with the goal of equating baseline learning and immediate test performance. A total of 86 participants were administered the training phases and immediate test. Participants' baseline performance was equivalent across all four environments, supporting the use of the MMN task. In study 2, 29 participants were trained, tested immediately, and again 12 h later after a period of sleep or wake. We found that the metric accuracy of object locations, i.e., spatial memory, was maintained over a night of sleep, while after wake, metric accuracy declined. In contrast, spatial navigation improved over both sleep and wake delays. Our findings support the role of sleep in retaining the precise spatial relationships within a cognitive map; however, they do not support a specific role of sleep in navigation.
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Affiliation(s)
- Katharine C. Simon
- Department of Cognitive Sciences, School of Social Sciences, University of California, Irvine, CA 92697
| | - Gregory D. Clemenson
- Department of Neurobiology and Behavior, School of Biological Sciences, University of California, Irvine, CA 92697
| | - Jing Zhang
- Department of Cognitive Sciences, School of Social Sciences, University of California, Irvine, CA 92697
| | - Negin Sattari
- Department of Cognitive Sciences, School of Social Sciences, University of California, Irvine, CA 92697
| | - Alessandra E. Shuster
- Department of Cognitive Sciences, School of Social Sciences, University of California, Irvine, CA 92697
| | - Brandon Clayton
- Department of Cognitive Sciences, School of Social Sciences, University of California, Irvine, CA 92697
| | - Elisabet Alzueta
- Center for Health Sciences, SRI International, Menlo Park, CA 94025
| | - Teji Dulai
- Center for Health Sciences, SRI International, Menlo Park, CA 94025
| | | | - Craig Stark
- Department of Neurobiology and Behavior, School of Biological Sciences, University of California, Irvine, CA 92697
| | - Fiona C. Baker
- Center for Health Sciences, SRI International, Menlo Park, CA 94025
- Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, 2193, South Africa
| | - Sara C. Mednick
- Department of Cognitive Sciences, School of Social Sciences, University of California, Irvine, CA 92697
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Zeng T, Si B, Feng J. A theory of geometry representations for spatial navigation. Prog Neurobiol 2022; 211:102228. [DOI: 10.1016/j.pneurobio.2022.102228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 01/17/2022] [Accepted: 01/20/2022] [Indexed: 11/29/2022]
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Hippocampal volume and navigational ability: The map(ping) is not to scale. Neurosci Biobehav Rev 2021; 126:102-112. [PMID: 33722618 DOI: 10.1016/j.neubiorev.2021.03.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 01/19/2021] [Accepted: 03/08/2021] [Indexed: 11/22/2022]
Abstract
A critical question regards the neural basis of complex cognitive skill acquisition. One extensively studied skill is navigation, with evidence suggesting that humans vary widely in navigation abilities. Yet, data supporting the neural underpinning of these individual differences are mixed. Some evidence suggests robust structure-behavior relations between hippocampal volume and navigation ability, whereas other experiments show no such correlation. We focus on several possibilities for these discrepancies: 1) volumetric hippocampal changes are relevant only at the extreme ranges of navigational abilities; 2) hippocampal volume correlates across individuals but only for specific measures of navigation skill; 3) hippocampal volume itself does not correlate with navigation skill acquisition; connectivity patterns are more relevant. To explore this third possibility, we present a model emphasizing functional connectivity changes, particularly to extra-hippocampal structures. This class of models arises from the premise that navigation is dynamic and that good navigators flexibly solve spatial challenges. These models pave the way for research on other skills and provide more precise predictions for the neural basis of skill acquisition.
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