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DiBerardino PAV, Filipowicz ALS, Danckert J, Anderson B. Plinko: Eliciting beliefs to build better models of statistical learning and mental model updating. Br J Psychol 2024. [PMID: 39096484 DOI: 10.1111/bjop.12724] [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: 10/24/2023] [Accepted: 07/03/2024] [Indexed: 08/05/2024]
Abstract
Prior beliefs are central to Bayesian accounts of cognition, but many of these accounts do not directly measure priors. More specifically, initial states of belief heavily influence how new information is assumed to be utilized when updating a particular model. Despite this, prior and posterior beliefs are either inferred from sequential participant actions or elicited through impoverished means. We had participants to play a version of the game 'Plinko', to first elicit individual participant priors in a theoretically agnostic manner. Subsequent learning and updating of participant beliefs was then directly measured. We show that participants hold various priors that cluster around prototypical probability distributions that in turn influence learning. In follow-up studies, we show that participant priors are stable over time and that the ability to update beliefs is influenced by a simple environmental manipulation (i.e., a short break). These data reveal the importance of directly measuring participant beliefs rather than assuming or inferring them as has been widely done in the literature to date. The Plinko game provides a flexible and fecund means for examining statistical learning and mental model updating.
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Affiliation(s)
| | | | - James Danckert
- Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada
| | - Britt Anderson
- Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada
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Hashemirad F, Zoghi M, Fitzgerald PB, Hashemirad M, Jaberzadeh S. Site Dependency of Anodal Transcranial Direct-Current Stimulation on Reaction Time and Transfer of Learning during a Sequential Visual Isometric Pinch Task. Brain Sci 2024; 14:408. [PMID: 38672057 PMCID: PMC11048073 DOI: 10.3390/brainsci14040408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 04/10/2024] [Accepted: 04/16/2024] [Indexed: 04/28/2024] Open
Abstract
Considering the advantages of brain stimulation techniques in detecting the role of different areas of the brain in human sensorimotor behaviors, we used anodal transcranial direct-current stimulation (a-tDCS) over three different brain sites of the frontoparietal cortex (FPC) in healthy participants to elucidate the role of these three brain areas of the FPC on reaction time (RT) during a sequential visual isometric pinch task (SVIPT). We also aimed to assess if the stimulation of these cortical sites affects the transfer of learning during SVIPT. A total of 48 right-handed healthy participants were randomly assigned to one of the four a-tDCS groups: (1) left primary motor cortex (M1), (2) left dorsolateral prefrontal cortex (DLPFC), (3) left posterior parietal cortex (PPC), and (4) sham. A-tDCS (0.3 mA, 20 min) was applied concurrently with the SVIPT, in which the participants precisely controlled their forces to reach seven different target forces from 10 to 40% of the maximum voluntary contraction (MVC) presented on a computer screen with the right dominant hand. Four test blocks were randomly performed at the baseline and 15 min after the intervention, including sequence and random blocks with either hand. Our results showed significant elongations in the ratio of RTs between the M1 and sham groups in the sequence blocks of both the right-trained and left-untrained hands. No significant differences were found between the DLPFC and sham groups and the PPC and sham groups in RT measurements within the SVIPT. Our findings suggest that RT improvement within implicit learning of an SVIPT is not mediated by single-session a-tDCS over M1, DLPFC, or PPC. Further research is needed to understand the optimal characteristics of tDCS and stimulation sites to modulate reaction time in a precision control task such as an SVIPT.
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Affiliation(s)
- Fahimeh Hashemirad
- Department of Physical Therapy, University of Social Welfare and Rehabilitation Sciences, Tehran 1985713871, Iran
- Monash Neuromodulation Research Unit, Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3199, Australia;
| | - Maryam Zoghi
- Discipline of Physiotherapy, Institute of Health and Wellbeing, Federation University, Ballart, VIC 3199, Australia;
| | - Paul B. Fitzgerald
- School of Medicine and Psychology, Australian National University, Canberra, NSW 2601, Australia;
| | | | - Shapour Jaberzadeh
- Monash Neuromodulation Research Unit, Department of Physiotherapy, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3199, Australia;
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Kaminski E, Carius D, Knieke J, Mizuguchi N, Ragert P. Complex sequential learning is not facilitated by transcranial direct current stimulation over DLPFC or M1. Eur J Neurosci 2024; 59:2046-2058. [PMID: 38270331 DOI: 10.1111/ejn.16255] [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: 08/22/2023] [Revised: 12/19/2023] [Accepted: 01/02/2024] [Indexed: 01/26/2024]
Abstract
Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique which was found to have a positive modulatory effect on online sequence acquisition or offline motor consolidation, depending on the relative role of the associated brain region. Primary motor regions (M1) and dorsolateral prefrontal cortices (DLPFC) have both been related to sequential learning. However, research so far did not systematically disentangle their differential roles in online and offline learning especially in more complex sequential paradigms. In this study, the influence of anodal M1 leg area-tDCS and anodal DLPFC-tDCS applied during complex sequential learning (online and offline) was investigated using a complex whole body serial reaction time task (CWB-SRTT) in 42 healthy volunteers. TDCS groups did not differ from sham tDCS group regarding their response and reaction time (online) and also not in terms of overnight consolidation (offline). Sequence specific learning and the number of recalled items also did not differ between groups. Results may be related to unspecific parameters such as timing of the stimulation or current intensity but can also be attributed to the relative role of M1 and DLPFC during early complex learning. Taken together, the current study provides preliminary evidence that M1 leg area or DLPFC modulation by means of tDCS does not improve complex sequential skill learning. SIGNIFICANCE STATEMENT: Understanding motor learning is helpful to deepen our knowledge about the human ability to acquire new skills. Complex sequential learning tasks have only been studied, sparsely, but are particularly mimicking challenges of daily living. The present study studied early motor learning in a complex serial reaction time task while transcranial direct current stimulation (tDCS) was either applied to leg primary motor cortex or bilateral dorsolateral prefrontal cortex. TDCS did not affect sequential learning, neither directly during performance nor in terms of sequence consolidation. Results provide preliminary information that M1 or bilateral DLPFC modulation does not improve early complex motor learning.
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Affiliation(s)
- Elisabeth Kaminski
- Faculty of Sport Science, Department of Movement Neuroscience, University of Leipzig, Leipzig, Germany
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Daniel Carius
- Faculty of Sport Science, Department of Movement Neuroscience, University of Leipzig, Leipzig, Germany
| | - Jan Knieke
- Faculty of Sport Science, Department of Movement Neuroscience, University of Leipzig, Leipzig, Germany
| | - Nobuaki Mizuguchi
- Research Organization of Science and Technology, Ritsumeikan University, Kyoto, Japan
- Institute of Advanced Research for Sport and Health Science, Ritsumeikan University, Kyoto, Japan
| | - Patrick Ragert
- Faculty of Sport Science, Department of Movement Neuroscience, University of Leipzig, Leipzig, Germany
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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Oliveira CM, Hayiou-Thomas ME, Henderson LM. Reliability of the serial reaction time task: If at first you don't succeed, try, try, try again. Q J Exp Psychol (Hove) 2024:17470218241232347. [PMID: 38311604 DOI: 10.1177/17470218241232347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Procedural memory is involved in the acquisition and control of skills and habits that underlie rule and procedural learning, including the acquisition of grammar and phonology. The serial reaction time task (SRTT), commonly used to assess procedural learning, has been shown to have poor stability (test-retest reliability). We investigated factors that may affect the stability of the SRTT in adults. Experiment 1 examined whether the similarity of sequences learned in two sessions would impact stability: test-retest correlations were low regardless of sequence similarity (r < .31). Experiment 2 added a third session to examine whether individual differences in learning would stabilise with further training. There was a small (but nonsignificant) improvement in stability for later sessions (Sessions 1 and 2: r = .42; Sessions 2 and 3: r = .60). Stability of procedural learning on the SRTT remained suboptimal in all conditions, posing a serious obstacle to the use of this task as a sensitive predictor of individual differences and ultimately theoretical advance.
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Aksoy ME, Kocaoglu B, İzzetoglu K, Agrali A, Yoner SI, Polat MD, Kayaalp ME, Yozgatli TK, Kaya A, Becker R. Assessment of learning in simulator-based arthroscopy training with the diagnostic arthroscopy skill score (DASS) and neurophysiological measures. Knee Surg Sports Traumatol Arthrosc 2023; 31:5332-5345. [PMID: 37743389 DOI: 10.1007/s00167-023-07571-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/02/2023] [Indexed: 09/26/2023]
Abstract
PURPOSE Virtual arthroscopic training has become increasingly popular. However, there is a lack of efficiency-based tracking of the trainee, which may be critical for determining the specifics of training programs and adapting them for the needs of each trainee. This study aims to evaluate and compare the measures obtained with a non-invasive neurophysiological method with The Diagnostic Arthroscopy Skill Score (DASS), a commonly used assessment tool for evaluating arthroscopic skills. METHODS The study collected simulator performance scores, consisting of "Triangulation Right Hand", "Triangulation Left Hand", "Catch the Stars" and "Three Rings" and DASS scores from 22 participants (11 novices, 11 experts). These scores were obtained while participants underwent a structured program of exercises for the fundamentals of arthroscopic surgery training (FAST) and knee module using a simulator-based arthroscopy device. During the evaluation, data on oxy-hemoglobin and deoxy-hemoglobin levels in the prefrontal cortex were collected using the Functional Near-Infrared Spectroscopy (fNIRS) imaging system. Performance scores, DASS scores, and fNIRS data were subsequently analyzed to determine any correlation between performance and cortex activity. RESULTS The simulator performance scores and the DASSPart2 scores were significantly higher in the expert group compared to the novice group (200.1 ± 28.5 vs 172.5 ± 48.9, p = 0.04 and 9.4 ± 5.6 vs. 5.4 ± 5.6 p = 0.02). In the expert group, fNIRS data showed a significantly lower prefrontal cortex activation during fundamental tasks in the FAST module, indicating significantly more efficient mental resource use. CONCLUSION The analysis of cognitive workload changes during simulation-based arthroscopy training revealed a significant correlation between the trainees' DASS scores and fNIRS data. This correlation suggests the potential use of fNIRS data and DASS scores as additional metrics to create adaptive training protocols for each participant. By incorporating these metrics, the training process can be optimized, leading to more efficient arthroscopic training and better preparedness for clinical operations. LEVEL OF EVIDENCE III.
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Affiliation(s)
- Mehmet Emin Aksoy
- Department of Biomedical Device Technology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
- CASE (Center of Advanced Simulation and Education), Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Baris Kocaoglu
- Department of Orthopedics and Traumatology, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
| | - Kurtulus İzzetoglu
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, 19104, USA
| | - Atahan Agrali
- Department of Biomedical Device Technology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Serhat Ilgaz Yoner
- Department of Biomedical Device Technology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Mert Deniz Polat
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, 19104, USA
| | - Mahmut Enes Kayaalp
- Center for Sports Medicine, University of Pittsburgh, Pittsburgh, PA, 15260, USA
- Orthopedics and Traumatology, Istanbul Kartal Research and Training Hospital, Istanbul, Turkey
- Center of Orthopedics and Traumatology, University of Brandenburg, Brandenburg/Havel, Germany
| | - Tahir Koray Yozgatli
- Department of Orthopedics and Traumatology, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Alper Kaya
- Department of Orthopedics and Traumatology, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Roland Becker
- Center of Orthopedics and Traumatology, University of Brandenburg, Brandenburg/Havel, Germany
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Szücs-Bencze L, Vékony T, Pesthy O, Szabó N, Kincses TZ, Turi Z, Nemeth D. Modulating Visuomotor Sequence Learning by Repetitive Transcranial Magnetic Stimulation: What Do We Know So Far? J Intell 2023; 11:201. [PMID: 37888433 PMCID: PMC10607545 DOI: 10.3390/jintelligence11100201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/23/2023] [Accepted: 10/09/2023] [Indexed: 10/28/2023] Open
Abstract
Predictive processes and numerous cognitive, motor, and social skills depend heavily on sequence learning. The visuomotor Serial Reaction Time Task (SRTT) can measure this fundamental cognitive process. To comprehend the neural underpinnings of the SRTT, non-invasive brain stimulation stands out as one of the most effective methodologies. Nevertheless, a systematic list of considerations for the design of such interventional studies is currently lacking. To address this gap, this review aimed to investigate whether repetitive transcranial magnetic stimulation (rTMS) is a viable method of modulating visuomotor sequence learning and to identify the factors that mediate its efficacy. We systematically analyzed the eligible records (n = 17) that attempted to modulate the performance of the SRTT with rTMS. The purpose of the analysis was to determine how the following factors affected SRTT performance: (1) stimulated brain regions, (2) rTMS protocols, (3) stimulated hemisphere, (4) timing of the stimulation, (5) SRTT sequence properties, and (6) other methodological features. The primary motor cortex (M1) and the dorsolateral prefrontal cortex (DLPFC) were found to be the most promising stimulation targets. Low-frequency protocols over M1 usually weaken performance, but the results are less consistent for the DLPFC. This review provides a comprehensive discussion about the behavioral effects of six factors that are crucial in designing future studies to modulate sequence learning with rTMS. Future studies may preferentially and synergistically combine functional neuroimaging with rTMS to adequately link the rTMS-induced network effects with behavioral findings, which are crucial to develop a unified cognitive model of visuomotor sequence learning.
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Affiliation(s)
- Laura Szücs-Bencze
- Department of Neurology, University of Szeged, Semmelweis utca 6, H-6725 Szeged, Hungary
| | - Teodóra Vékony
- Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, INSERM, CNRS, Université Claude Bernard Lyon 1, 95 Boulevard Pinel, F-69500 Bron, France
| | - Orsolya Pesthy
- Doctoral School of Psychology, ELTE Eötvös Loránd University, Izabella utca 46, H-1064 Budapest, Hungary
- Brain, Memory and Language Research Group, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Magyar Tudósok Körútja 2, H-1117 Budapest, Hungary
- Institute of Psychology, ELTE Eötvös Loránd Universiry, Izabella utca 46, H-1064 Budapest, Hungary
| | - Nikoletta Szabó
- Department of Neurology, University of Szeged, Semmelweis utca 6, H-6725 Szeged, Hungary
| | - Tamás Zsigmond Kincses
- Department of Neurology, University of Szeged, Semmelweis utca 6, H-6725 Szeged, Hungary
- Department of Radiology, University of Szeged, Semmelweis utca 6, H-6725 Szeged, Hungary
| | - Zsolt Turi
- Department of Neuroanatomy, Institute of Anatomy and Cell Biology, Faculty of Medicine, University of Freiburg, Albertstrasse 17, D-79104 Freiburg, Germany
| | - Dezso Nemeth
- Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, INSERM, CNRS, Université Claude Bernard Lyon 1, 95 Boulevard Pinel, F-69500 Bron, France
- BML-NAP Research Group, Institute of Psychology & Institute of Cognitive Neuroscience and Psychology, ELTE Eötvös Loránd University & Research Centre for Natural Sciences, Damjanich utca 41, H-1072 Budapest, Hungary
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Khedr EM, Elbeh K, Saber M, Abdelrady Z, Abdelwarith A. A double blind randomized clinical trial of the effectiveness of low frequency rTMS over right DLPFC or OFC for treatment of obsessive-compulsive disorder. J Psychiatr Res 2022; 156:122-131. [PMID: 36244200 DOI: 10.1016/j.jpsychires.2022.10.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 10/02/2022] [Accepted: 10/05/2022] [Indexed: 11/07/2022]
Abstract
We compared the effectiveness of low frequency repetitive transcranial magnetic stimulation over right dorsolateral prefrontal cortex (DLPFC), right orbitofrontal cortex (OFC) and sham for treatment of obsessive-compulsive disorder (OCD) and sought to determine possible predictors of effective treatment. Sixty OCD patients participated and were randomly allocated to one of the 3 treatment groups. Treatment was administered daily for 10 days. Assessments were made at the beginning and end of therapy as well as three months later using the Yale-Brown obsessive compulsive scale (Y-BOCS), Hamilton Anxiety Rating Scale (HAM-A), Beck Depression Inventory (BDI), and Clinical Global Impression - Severity scale (CGI-S). There were no significant demographic or clinical differences between the groups at baseline. One-way repeated measures ANOVA showed that participants in all 3 groups improved their scores on all rating scales following treatment. A two-way repeated measures ANOVA revealed a significant time and group interaction due to the fact that both active treatment groups outperformed the sham group, although there was no significant difference between the two. Percent improvement had significant negative correlations with the following factors: duration of illness, baseline Y-BOCS, HAM-A, and BDI. We conclude that rTMS over either right DLPFC or OFC has a therapeutic effect on OCD symptoms. Patients with lower Y-BOCS and fewer comorbidities responded best to rTMS.
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Affiliation(s)
- Eman M Khedr
- Department of Neurology and Psychiatry, Assiut University, Assiut, Egypt; Department of Neuropsychiatry, Aswan University, Aswan, Egypt.
| | - Khaled Elbeh
- Department of Neurology and Psychiatry, Assiut University, Assiut, Egypt
| | - Mostafa Saber
- Department of Neuropsychiatry, Aswan University, Aswan, Egypt
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Sensory recruitment in visual short-term memory: A systematic review and meta-analysis of sensory visual cortex interference using transcranial magnetic stimulation. Psychon Bull Rev 2022; 29:1594-1624. [PMID: 35606595 DOI: 10.3758/s13423-022-02107-y] [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: 04/13/2022] [Indexed: 11/08/2022]
Abstract
Sensory visual areas are involved in encoding information in visual short-term memory (VSTM). Yet it remains unclear whether sensory visual cortex is a necessary component of the brain network for maintenance of information in VSTM. Here, we aimed to systematically review studies that have investigated the role of the sensory visual cortex in VSTM using transcranial magnetic stimulation (TMS) and to quantitatively explore these effects using meta-analyses. Fourteen studies were identified and reviewed. Eight studies provided sufficient data for meta-analysis. Two meta-analyses, one regarding the VSTM encoding phase (17 effect sizes) and one regarding the VSTM maintenance phase (15 effect sizes), two meta-regressions (32 effect sizes in each), and one exploratory meta-analysis were conducted. Our results indicate that the sensory visual cortex is similarly involved in both the encoding and maintenance VSTM phase. We suggest that some cases where evidence did not show significant TMS effects was due to low memory or perceptual task demands. Overall, these findings support the idea that sensory visual areas are part of the brain network responsible for successfully maintaining information in VSTM.
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Chen X, Yao T, Cai J, Zhang Q, Li S, Li H, Fu X, Wu J. A novel cis-regulatory variant modulating TIE1 expression associated with attention deficit hyperactivity disorder in Han Chinese children. J Affect Disord 2022; 300:179-188. [PMID: 34942230 DOI: 10.1016/j.jad.2021.12.066] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 11/07/2021] [Accepted: 12/19/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND The genetic factors of attention deficit hyperactivity disorder (ADHD) are far from fully elucidated. This study aims to get additional insight into the genetic structure of ADHD. METHODS First, a transcriptome-wide association study and summary data-based Mendelian randomization analysis were performed to identify ADHD susceptibility genes. Then, genetic variants influencing the expression of the identified susceptibility genes were tested for association with ADHD risk in a sample of Han Chinese children (543 cases and 560 controls). Dual-luciferase reporter gene assays and electrophoretic mobility shift assays were performed to verify the transcriptional regulatory functions of the identified ADHD-associated variants. Additionally, real-time quantitative polymerase chain reaction was applied to quantify the expression levels of target genes in blood samples. RESULTS Both TIE1 and MED8 were identified as ADHD susceptibility genes. Furthermore, we first found the G allele of rs3768046 was significantly associated with an increased risk of ADHD (recessive model: GG vs AA+AG, OR= 1.659, 95% CI= (1.262, 2.181); additive model: GG vs GA vs AA, OR= 1.493, 95% CI= (1.179, 1.890)). Additionally, in vitro functional experiments revealed that rs3768046 might alter TIE1 expression by affecting the binding sites of transcription factors. Moreover, the expression level of TIE1 in the blood samples of patients was significantly higher than that of controls. LIMITATIONS Given the moderate statistical power of this study, it is necessary to verify our findings in other larger samples. CONCLUSIONS Together, this study presents the first systematic evidence of TIE1 with potential implications for the genetic basis of ADHD.
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Affiliation(s)
- Xinzhen Chen
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Ting Yao
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Jinliang Cai
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Qi Zhang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Shanyawen Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Huiru Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xihang Fu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Jing Wu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
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Sakurada T, Matsumoto M, Yamamoto SI. Individual Sensory Modality Dominance as an Influential Factor in the Prefrontal Neurofeedback Training for Spatial Processing: A Functional Near-Infrared Spectroscopy Study. Front Syst Neurosci 2022; 16:774475. [PMID: 35221936 PMCID: PMC8866872 DOI: 10.3389/fnsys.2022.774475] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 01/07/2022] [Indexed: 11/23/2022] Open
Abstract
Neurofeedback is a neuromodulation technique used to improve brain function by self-regulating brain activity. However, the efficacy of neurofeedback training varies widely between individuals, and some participants fail to self-regulate brain activity. To overcome intersubject variation in neurofeedback training efficacy, it is critical to identify the factors that influence this type of neuromodulation. In this study, we considered that individual differences in cognitive ability may influence neurofeedback training efficacy and aimed to clarify the effect of individual working memory (WM) abilities, as characterized by sensory modality dominance, on neurofeedback training efficacy in healthy young adults. In particular, we focused on the abilities of individuals to retain internal (tactile or somatosensory) or external (visual) body information in their WM. Forty participants performed functional near-infrared spectroscopy-based neurofeedback training aimed at producing efficient and lower-level activity in the bilateral dorsolateral prefrontal cortex and frontopolar cortex. We carried out a randomized, sham-controlled, double-blind study that compared WM ability before and after neurofeedback training. Individual WM ability was quantified using a target searching task that required the participants to retain spatial information presented as vibrotactile or visual stimuli. Participants who received feedback information based on their own prefrontal activity showed gradually decreasing activity in the right prefrontal area during the neurofeedback training and demonstrated superior WM ability during the target searching task with vibrotactile stimuli compared with the participants who performed dummy neurofeedback training. In comparison, left prefrontal activity was not influenced by the neurofeedback training. Furthermore, the efficacy of neurofeedback training (i.e., lower right prefrontal activity and better searching task performance) was higher in participants who exhibited tactile dominance rather than visual dominance in their WM. These findings indicate that sensory modality dominance in WM may be an influential neurophysiological factor in determining the efficacy of neurofeedback training. These results may be useful in the development of neurofeedback training protocols tailored to individual needs.
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Affiliation(s)
- Takeshi Sakurada
- Department of Robotics, College of Science and Engineering, Ritsumeikan University, Shiga, Japan
- Functional Brain Science Laboratory, Center for Development of Advanced Medical Technology, Jichi Medical University, Tochigi, Japan
- Department of Neurosurgery, Jichi Medical University, Tochigi, Japan
- *Correspondence: Takeshi Sakurada,
| | - Mayuko Matsumoto
- Functional Brain Science Laboratory, Center for Development of Advanced Medical Technology, Jichi Medical University, Tochigi, Japan
- Graduate School of Systems Engineering and Science, Shibaura Institute of Technology, Saitama, Japan
| | - Shin-ichiroh Yamamoto
- Graduate School of Systems Engineering and Science, Shibaura Institute of Technology, Saitama, Japan
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Nishiyori R, Harris MK, Baur K, Meehan SK. Changes in cortical hemodynamics with the emergence of skilled motor ability in infants: An fNIRS study. Brain Res 2021; 1772:147666. [PMID: 34571012 DOI: 10.1016/j.brainres.2021.147666] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 06/29/2021] [Accepted: 09/20/2021] [Indexed: 11/16/2022]
Abstract
The brain activity changes during infancy that underpin the emergence of functional motor skills, such as reaching and stepping, are not well understood. The current study used functional near-infrared spectroscopy (fNIRS) to examine the hemodynamic response across the frontal, mid-coronal plane (sensorimotor cortex) and external occipital protuberance (cerebellar cortex) regions of typically developing infants (5 to 13 months) during reach-to-grasp or supported treadmill stepping behaviour. Motor ability was assessed using the third edition of the Motor Subscale of the Bayley Scales of Infant Development (BSID-III). Infants with enhanced motor ability demonstrated greater oxy-hemoglobin (HbO) concentration in the contralateral anterior mid-coronal and frontal-dorsal areas during right-handed reach-to-grasp. During bilateral reaching behavior, infants with enhanced motor ability showed greater HbO increases in right frontal-dorsal regions and lower HbO increases in left anterior mid-coronal areas. In contrast, infants' motor ability was associated with changes in de-oxyhemoglobin (HbR) concentration in the ipsilateral anterior mid-coronal, contralateral frontal and left external occipital protuberance regions during left-handed reaching behavior. These relationships between upper limb hemodynamics and infant motor ability are consistent with increased lateralization and cognitive-motor coupling as motor skills emerge. During stepping behavior, infants with enhanced motor ability demonstrated smaller increases in HbR concentration in the bilateral external occipital protuberance region consistent with an emerging efficiency as cruising and independent stepping behavior is still nascent. Together, the current results identify several distinct neural markers of functional motor ability during infancy that may be relevant to diagnostic testing and rehabilitation of developmental movement disorders.
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Affiliation(s)
- R Nishiyori
- Division of Research in Children, Youth, and Families, Children's Hospital Los Angeles, Los Angeles, CA, USA.
| | - M K Harris
- College of Medicine, The Ohio State University, Columbus, OH, USA
| | - K Baur
- Stritch School of Medicine, Loyola University Chicago, Maywood, IL, USA
| | - S K Meehan
- Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
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12
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Gann MA, King BR, Dolfen N, Veldman MP, Davare M, Swinnen SP, Mantini D, Robertson EM, Albouy G. Prefrontal stimulation prior to motor sequence learning alters multivoxel patterns in the striatum and the hippocampus. Sci Rep 2021; 11:20572. [PMID: 34663890 PMCID: PMC8523553 DOI: 10.1038/s41598-021-99926-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 09/24/2021] [Indexed: 11/09/2022] Open
Abstract
Motor sequence learning (MSL) is supported by dynamical interactions between hippocampal and striatal networks that are thought to be orchestrated by the prefrontal cortex. In the present study, we tested whether individually-tailored theta-burst stimulation of the dorsolateral prefrontal cortex (DLPFC) prior to MSL can modulate multivoxel response patterns in the stimulated cortical area, the hippocampus and the striatum. Response patterns were assessed with multivoxel correlation structure analyses of functional magnetic resonance imaging data acquired during task practice and during resting-state scans before and after learning/stimulation. Results revealed that, across stimulation conditions, MSL induced greater modulation of task-related DLPFC multivoxel patterns than random practice. A similar learning-related modulatory effect was observed on sensorimotor putamen patterns under inhibitory stimulation. Furthermore, MSL as well as inhibitory stimulation affected (posterior) hippocampal multivoxel patterns at post-intervention rest. Exploratory analyses showed that MSL-related brain patterns in the posterior hippocampus persisted into post-learning rest preferentially after inhibitory stimulation. These results collectively show that prefrontal stimulation can alter multivoxel brain patterns in deep brain regions that are critical for the MSL process. They also suggest that stimulation influenced early offline consolidation processes as evidenced by a stimulation-induced modulation of the reinstatement of task pattern into post-learning wakeful rest.
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Affiliation(s)
- Mareike A Gann
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001, Leuven, Belgium
- LBI - KU Leuven Brain Institute, KU Leuven, 3001, Leuven, Belgium
| | - Bradley R King
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, 84112, USA
| | - Nina Dolfen
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001, Leuven, Belgium
- LBI - KU Leuven Brain Institute, KU Leuven, 3001, Leuven, Belgium
| | - Menno P Veldman
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001, Leuven, Belgium
- LBI - KU Leuven Brain Institute, KU Leuven, 3001, Leuven, Belgium
| | - Marco Davare
- Department of Clinical Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UB8 3PN, UK
| | - Stephan P Swinnen
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001, Leuven, Belgium
- LBI - KU Leuven Brain Institute, KU Leuven, 3001, Leuven, Belgium
| | - Dante Mantini
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001, Leuven, Belgium
- Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, 30126, Venice, Italy
| | - Edwin M Robertson
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, G12 8QB, UK
| | - Geneviève Albouy
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001, Leuven, Belgium.
- LBI - KU Leuven Brain Institute, KU Leuven, 3001, Leuven, Belgium.
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, 84112, USA.
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13
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Gann MA, King BR, Dolfen N, Veldman MP, Chan KL, Puts NAJ, Edden RAE, Davare M, Swinnen SP, Mantini D, Robertson EM, Albouy G. Hippocampal and striatal responses during motor learning are modulated by prefrontal cortex stimulation. Neuroimage 2021; 237:118158. [PMID: 33991699 PMCID: PMC8351752 DOI: 10.1016/j.neuroimage.2021.118158] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 04/16/2021] [Accepted: 05/05/2021] [Indexed: 02/06/2023] Open
Abstract
While it is widely accepted that motor sequence learning (MSL) is supported by a prefrontal-mediated interaction between hippocampal and striatal networks, it remains unknown whether the functional responses of these networks can be modulated in humans with targeted experimental interventions. The present proof-of-concept study employed a multimodal neuroimaging approach, including functional magnetic resonance (MR) imaging and MR spectroscopy, to investigate whether individually-tailored theta-burst stimulation of the dorsolateral prefrontal cortex can modulate responses in the hippocampus and the basal ganglia during motor learning. Our results indicate that while stimulation did not modulate motor performance nor task-related brain activity, it influenced connectivity patterns within hippocampo-frontal and striatal networks. Stimulation also altered the relationship between the levels of gamma-aminobutyric acid (GABA) in the stimulated prefrontal cortex and learning-related changes in both activity and connectivity in fronto-striato-hippocampal networks. This study provides the first experimental evidence, to the best of our knowledge, that brain stimulation can alter motor learning-related functional responses in the striatum and hippocampus.
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Affiliation(s)
- Mareike A Gann
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001 Leuven, Belgium; LBI - KU Leuven Brain Institute, KU Leuven, 3001 Leuven, Belgium
| | - Bradley R King
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001 Leuven, Belgium; LBI - KU Leuven Brain Institute, KU Leuven, 3001 Leuven, Belgium
| | - Nina Dolfen
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001 Leuven, Belgium; LBI - KU Leuven Brain Institute, KU Leuven, 3001 Leuven, Belgium
| | - Menno P Veldman
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001 Leuven, Belgium; LBI - KU Leuven Brain Institute, KU Leuven, 3001 Leuven, Belgium
| | - Kimberly L Chan
- Advanced Imaging Research Center, University of Texas Southwestern, Dallas, TX 75390, USA
| | - Nicolaas A J Puts
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA; Department of Forensic and Neurodevelopmental Sciences and the Institute of Psychiatry, Psychology, and Neuroscience; King's College London, SE5 8AF London, United Kingdom
| | - Richard A E Edden
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, USA
| | - Marco Davare
- Department of Clinical Sciences, College of Health and Life Sciences, Brunel University London, UB8 3PN Uxbridge, United Kingdom
| | - Stephan P Swinnen
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001 Leuven, Belgium; LBI - KU Leuven Brain Institute, KU Leuven, 3001 Leuven, Belgium
| | - Dante Mantini
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001 Leuven, Belgium; Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, 30126 Venice, Italy
| | - Edwin M Robertson
- Institute of Neuroscience and Psychology, University of Glasgow, G12 8QB Glasgow, United Kingdom
| | - Geneviève Albouy
- Department of Movement Sciences, Movement Control and Neuroplasticity Research Group, KU Leuven, 3001 Leuven, Belgium; LBI - KU Leuven Brain Institute, KU Leuven, 3001 Leuven, Belgium.
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14
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Lutz ND, Admard M, Genzoni E, Born J, Rauss K. Occipital sleep spindles predict sequence learning in a visuo-motor task. Sleep 2021; 44:zsab056. [PMID: 33743012 PMCID: PMC8361350 DOI: 10.1093/sleep/zsab056] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 03/01/2021] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES The brain appears to use internal models to successfully interact with its environment via active predictions of future events. Both internal models and the predictions derived from them are based on previous experience. However, it remains unclear how previously encoded information is maintained to support this function, especially in the visual domain. In the present study, we hypothesized that sleep consolidates newly encoded spatio-temporal regularities to improve predictions afterwards. METHODS We tested this hypothesis using a novel sequence-learning paradigm that aimed to dissociate perceptual from motor learning. We recorded behavioral performance and high-density electroencephalography (EEG) in male human participants during initial training and during testing two days later, following an experimental night of sleep (n = 16, including high-density EEG recordings) or wakefulness (n = 17). RESULTS Our results show sleep-dependent behavioral improvements correlated with sleep-spindle activity specifically over occipital cortices. Moreover, event-related potential (ERP) responses indicate a shift of attention away from predictable to unpredictable sequences after sleep, consistent with enhanced automaticity in the processing of predictable sequences. CONCLUSIONS These findings suggest a sleep-dependent improvement in the prediction of visual sequences, likely related to visual cortex reactivation during sleep spindles. Considering that controls in our experiments did not fully exclude oculomotor contributions, future studies will need to address the extent to which these effects depend on purely perceptual versus oculomotor sequence learning.
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Affiliation(s)
- Nicolas D Lutz
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- Graduate Training Centre of Neuroscience/IMPRS for Cognitive & Systems Neuroscience, University of Tübingen, Tübingen, Germany
| | - Marie Admard
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
| | - Elsa Genzoni
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Jan Born
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- Werner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Institute for Diabetes Research & Metabolic Diseases of the Helmholtz Center Munich at the University Tübingen (IDM), Germany
| | - Karsten Rauss
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
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15
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Molloy EN, Zsido RG, Piecha FA, Beinhölzl N, Scharrer U, Zheleva G, Regenthal R, Sehm B, Nikulin VV, Möller HE, Villringer A, Sacher J, Mueller K. Decreased thalamo-cortico connectivity during an implicit sequence motor learning task and 7 days escitalopram intake. Sci Rep 2021; 11:15060. [PMID: 34301974 PMCID: PMC8302647 DOI: 10.1038/s41598-021-94009-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 07/05/2021] [Indexed: 11/12/2022] Open
Abstract
Evidence suggests that selective serotonin reuptake inhibitors (SSRIs) reorganize neural networks via a transient window of neuroplasticity. While previous findings support an effect of SSRIs on intrinsic functional connectivity, little is known regarding the influence of SSRI-administration on connectivity during sequence motor learning. To investigate this, we administered 20 mg escitalopram or placebo for 1-week to 60 healthy female participants undergoing concurrent functional magnetic resonance imaging and sequence motor training in a double-blind randomized controlled design. We assessed task-modulated functional connectivity with a psycho-physiological interaction (PPI) analysis in the thalamus, putamen, cerebellum, dorsal premotor, primary motor, supplementary motor, and dorsolateral prefrontal cortices. Comparing an implicit sequence learning condition to a control learning condition, we observed decreased connectivity between the thalamus and bilateral motor regions after 7 days of escitalopram intake. Additionally, we observed a negative correlation between plasma escitalopram levels and PPI connectivity changes, with higher escitalopram levels being associated with greater thalamo-cortico decreases. Our results suggest that escitalopram enhances network-level processing efficiency during sequence motor learning, despite no changes in behaviour. Future studies in more diverse samples, however, with quantitative imaging of neurochemical markers of excitation and inhibition, are necessary to further assess neural responses to escitalopram.
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Affiliation(s)
- Eóin N Molloy
- Emotion and Neuroimaging Lab, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, 04103, Leipzig, Germany.
- International Max Planck Research School NeuroCom, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
| | - Rachel G Zsido
- Emotion and Neuroimaging Lab, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, 04103, Leipzig, Germany
- International Max Planck Research School NeuroCom, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Max Planck School of Cognition, Leipzig, Germany
| | - Fabian A Piecha
- Emotion and Neuroimaging Lab, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, 04103, Leipzig, Germany
| | - Nathalie Beinhölzl
- Emotion and Neuroimaging Lab, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, 04103, Leipzig, Germany
| | - Ulrike Scharrer
- Emotion and Neuroimaging Lab, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, 04103, Leipzig, Germany
| | - Gergana Zheleva
- Emotion and Neuroimaging Lab, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, 04103, Leipzig, Germany
| | - Ralf Regenthal
- Division of Clinical Pharmacology, Rudolf-Boehm-Institute of Pharmacology and Toxicology, Leipzig University, Leipzig, Germany
| | - Bernhard Sehm
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, 04103, Leipzig, Germany
- Department of Neurology, University Hospital Halle (Saale), Halle, Germany
| | - Vadim V Nikulin
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, 04103, Leipzig, Germany
- Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia
| | - Harald E Möller
- Nuclear Magnetic Resonance Methods and Development Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, 04103, Leipzig, Germany
- International Max Planck Research School NeuroCom, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- MindBrainBody Institute, Berlin School of Mind and Brain, Charité-Berlin University of Medicine and Humboldt University Berlin, Berlin, Germany
- Clinic of Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Julia Sacher
- Emotion and Neuroimaging Lab, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, 04103, Leipzig, Germany.
- International Max Planck Research School NeuroCom, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
- Max Planck School of Cognition, Leipzig, Germany.
- Clinic of Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany.
| | - Karsten Mueller
- Nuclear Magnetic Resonance Methods and Development Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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16
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Emanuel A, Herszage J, Sharon H, Liberman N, Censor N. Inhibition of the supplementary motor area affects distribution of effort over time. Cortex 2020; 134:134-144. [PMID: 33278681 DOI: 10.1016/j.cortex.2020.10.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 09/16/2020] [Accepted: 10/15/2020] [Indexed: 12/16/2022]
Abstract
In tasks that extend over time, people tend to exert much effort at the beginning and the end, but not in the middle, exhibiting the stuck-in-the-middle pattern (STIM). To date, little is known about the neural mechanisms underlying this effect. As the supplementary motor area (SMA) was previously implicated in coding prospective task-demands, we tested its role in producing the STIM pattern. Participants first underwent an SMA-localization session in which they tapped their fingers repeatedly while fMRI-scanned. In the next two sessions, before playing a 10-min computer game that measured effort-engagement, participants underwent inhibitory 1-Hz repetitive transcranial magnetic stimulation over the SMA, or over a control precuneus location. Three control experiments and a pretest confirmed that this task yields a STIM, which can be eliminated when the task lacks a salient end-point, or is too short. The results of the main experiment showed a more pronounced STIM following inhibitory SMA stimulation compared to control. A control analysis showed that overall level of effort was similar in both conditions, rendering alternative accounts in terms of motor inhibition unlikely. These findings are consistent with the possibility that the SMA may play a role in moment-to-moment coding of effort value, or in related sub-processes, which can cause effort to be distributed more equally over the course of a task.
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Affiliation(s)
- Aviv Emanuel
- School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel; School of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel; Sylvan Adams Sports Institute, Tel Aviv University, Tel-Aviv, Israel
| | - Jasmine Herszage
- School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Haggai Sharon
- Center for Brain Functions and Institute of Pain Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Nira Liberman
- School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Nitzan Censor
- School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
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17
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Sehatpour P, Dondé C, Hoptman MJ, Kreither J, Adair D, Dias E, Vail B, Rohrig S, Silipo G, Lopez-Calderon J, Martinez A, Javitt DC. Network-level mechanisms underlying effects of transcranial direct current stimulation (tDCS) on visuomotor learning. Neuroimage 2020; 223:117311. [PMID: 32889116 PMCID: PMC7778833 DOI: 10.1016/j.neuroimage.2020.117311] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/15/2020] [Accepted: 08/18/2020] [Indexed: 02/02/2023] Open
Abstract
Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation approach in which low level currents are administered over the scalp to influence underlying brain function. Prevailing theories of tDCS focus on modulation of excitation-inhibition balance at the local stimulation location. However, network level effects are reported as well, and appear to depend upon differential underlying mechanisms. Here, we evaluated potential network-level effects of tDCS during the Serial Reaction Time Task (SRTT) using convergent EEG- and fMRI-based connectivity approaches. Motor learning manifested as a significant (p <.0001) shift from slow to fast responses and corresponded to a significant increase in beta-coherence (p <.0001) and fMRI connectivity (p <.01) particularly within the visual-motor pathway. Differential patterns of tDCS effect were observed within different parametric task versions, consistent with network models. Overall, these findings demonstrate objective physiological effects of tDCS at the network level that result in effective behavioral modulation when tDCS parameters are matched to network-level requirements of the underlying task.
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Affiliation(s)
- Pejman Sehatpour
- Division of Experimental Therapeutics, College of Physicians and Surgeons, Columbia University/New York State Psychiatric Institute, New York, NY, USA; Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
| | - Clément Dondé
- Université Grenoble Alpes, Inserm U1216, Grenoble Institut des Neurosciences, CHU Grenoble-Alpes, F-38000 Grenoble, France
| | - Matthew J Hoptman
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Department of Psychiatry, New York University School of Medicine, New York, NY, USA
| | - Johanna Kreither
- PIA Ciencias Cognitivas, Centro de Investigación en Ciencias Cognitivas, Centro de Psicología Aplicada, Facultad de Psicología, Universidad de Talca, Chile
| | - Devin Adair
- Department of Biomedical Engineering, The City College of New York, CUNY, NY, USA
| | - Elisa Dias
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Department of Psychiatry, New York University School of Medicine, New York, NY, USA
| | - Blair Vail
- Division of Experimental Therapeutics, College of Physicians and Surgeons, Columbia University/New York State Psychiatric Institute, New York, NY, USA
| | - Stephanie Rohrig
- Department of Psychology, Hofstra University, New Hempstead, NY, USA
| | - Gail Silipo
- Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | | | - Antigona Martinez
- Division of Experimental Therapeutics, College of Physicians and Surgeons, Columbia University/New York State Psychiatric Institute, New York, NY, USA; Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Daniel C Javitt
- Division of Experimental Therapeutics, College of Physicians and Surgeons, Columbia University/New York State Psychiatric Institute, New York, NY, USA; Schizophrenia Research Division, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
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18
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Matsumoto M, Sakurada T, Yamamoto SI. Distinct bilateral prefrontal activity patterns associated with the qualitative aspect of working memory characterized by individual sensory modality dominance. PLoS One 2020; 15:e0238235. [PMID: 32845925 PMCID: PMC7449398 DOI: 10.1371/journal.pone.0238235] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 08/12/2020] [Indexed: 11/24/2022] Open
Abstract
In addition to quantitative individual differences in working memory (WM) capacity, qualitative aspects, such as enhanced sensory modality (modality dominance), can characterize individual WM ability. This study aimed to examine the neurological basis underlying the individual modality dominance component of WM using functional near-infrared spectroscopy (fNIRS). To quantify the degree of individual WM modality dominance, 24 participants were required to find seven hidden targets and hold their spatial location and appearance order with vibrotactile or visual stimuli aids. In this searching task, eight participants demonstrated higher performance with the tactile condition (tactile-dominant) whereas sixteen demonstrated visual dominance. We then measured prefrontal activity by fNIRS during memorization of visual stimulus numbers while finger tapping as a cognitive-motor dual-task. Individual modality dominance significantly correlated with bilateral frontopolar and dorsolateral prefrontal activity changes over repeated fNIRS sessions. In particular, individuals with stronger visual dominance showed marked decreases in prefrontal area activity. These results suggest that distinct processing patterns in the prefrontal cortex reflect an individual’s qualitative WM characteristics. Considering the individual modality dominance underlying the prefrontal areas could enhance cognitive or motor performance, possibly by optimizing cognitive resources.
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Affiliation(s)
- Mayuko Matsumoto
- College of Systems Engineering and Science, Shibaura Institute of Technology, Saitama, Japan
- Functional Brain Science Laboratory, Center for Development of Advanced Medical Technology, Jichi Medical University, Tochigi, Japan
| | - Takeshi Sakurada
- Functional Brain Science Laboratory, Center for Development of Advanced Medical Technology, Jichi Medical University, Tochigi, Japan
- College of Science and Engineering, Ritsumeikan University, Shiga, Japan
- Department of Neurosurgery, Jichi Medical University, Tochigi, Japan
- * E-mail:
| | - Shin-ichiroh Yamamoto
- College of Systems Engineering and Science, Shibaura Institute of Technology, Saitama, Japan
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19
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Intention to learn modulates the impact of reward and punishment on sequence learning. Sci Rep 2020; 10:8906. [PMID: 32483289 PMCID: PMC7264311 DOI: 10.1038/s41598-020-65853-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 04/20/2020] [Indexed: 11/09/2022] Open
Abstract
In real-world settings, learning is often characterised as intentional: learners are aware of the goal during the learning process, and the goal of learning is readily dissociable from the awareness of what is learned. Recent evidence has shown that reward and punishment (collectively referred to as valenced feedback) are important factors that influence performance during learning. Presently, however, studies investigating the impact of valenced feedback on skill learning have only considered unintentional learning, and therefore the interaction between intentionality and valenced feedback has not been systematically examined. The present study investigated how reward and punishment impact behavioural performance when participants are instructed to learn in a goal-directed fashion (i.e. intentionally) rather than unintentionally. In Experiment 1, participants performed the serial response time task with reward, punishment, or control feedback and were instructed to ignore the presence of the sequence, i.e., learn unintentionally. Experiment 2 followed the same design, but participants were instructed to intentionally learn the sequence. We found that punishment significantly benefitted performance during learning only when participants learned unintentionally, and we observed no effect of punishment when participants learned intentionally. Thus, the impact of feedback on performance may be influenced by goal of the learner.
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20
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CAO N, MENG H, WANG Y, QIU F, TAN X, WU Y, ZHANG J. Functional role of the left dorsolateral prefrontal cortex in procedural motor learning. ACTA PSYCHOLOGICA SINICA 2020. [DOI: 10.3724/sp.j.1041.2020.00597] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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21
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Xu SY, Lu FM, Wang MY, Hu ZS, Zhang J, Chen ZY, Armada-da-Silva PAS, Yuan Z. Altered Functional Connectivity in the Motor and Prefrontal Cortex for Children With Down's Syndrome: An fNIRS Study. Front Hum Neurosci 2020; 14:6. [PMID: 32116599 PMCID: PMC7034312 DOI: 10.3389/fnhum.2020.00006] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2019] [Accepted: 01/09/2020] [Indexed: 11/14/2022] Open
Abstract
Children with Down's syndrome (DS) might exhibit disrupted brain functional connectivity in the motor and prefrontal cortex. To inspect the alterations in brain activation and functional connectivity for children with DS, the functional near-infrared spectroscopy (fNIRS) method was applied to examine the brain activation difference in the motor and prefrontal cortex between the DS and typically developing (TD) groups during a fine motor task. In addition, small-world analysis based on graph theory was also carried out to characterize the topological organization of functional brain networks. Interestingly, behavior data demonstrated that the DS group showed significantly long reaction time and low accuracy as compared to the TD group (p < 0.05). More importantly, significantly reduced brain activations in the frontopolar area, the pre-motor, and the supplementary motor cortex (p < 0.05) were identified in the DS group compared with the TD group. Meanwhile, significantly high global efficiency (E g ) and short average path length (L p ) were also detected for the DS group. This pilot study illustrated that the disrupted connectivity of frontopolar area, pre-motor, and supplementary motor cortex might be one of the core mechanisms associated with motor and cognitive impairments for children with DS. Therefore, the combination of the fNIRS technique with functional network analysis may pave a new avenue for improving our understanding of the neural mechanisms of DS.
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Affiliation(s)
- Shi-Yang Xu
- Faculty of Health Sciences, University of Macau, Macau, China
- Centre for Cognitive and Brain Sciences, University of Macau, Macau, China
| | - Feng-Mei Lu
- Faculty of Health Sciences, University of Macau, Macau, China
- MOE Key Laboratory for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - Meng-Yun Wang
- Faculty of Health Sciences, University of Macau, Macau, China
| | - Zhi-Shan Hu
- Faculty of Health Sciences, University of Macau, Macau, China
| | - Juan Zhang
- Faculty of Education, University of Macau, Macau, China
| | - Zhi-Yi Chen
- Department of Ultrasound Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Paulo A. S. Armada-da-Silva
- Faculty of Human Kinetics, University of Lisbon, Cruz Quebrada, Portugal
- Neuromechanics of Human Movement, Faculty of Human Kinetics, CIPER, University of Lisbon, Lisbon, Portugal
| | - Zhen Yuan
- Faculty of Health Sciences, University of Macau, Macau, China
- Centre for Cognitive and Brain Sciences, University of Macau, Macau, China
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22
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Naro A, Billeri L, Cannavò A, De Luca R, Portaro S, Bramanti P, Calabrò RS. Theta burst stimulation for the treatment of obsessive–compulsive disorder: a pilot study. J Neural Transm (Vienna) 2019; 126:1667-1677. [DOI: 10.1007/s00702-019-02098-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 10/16/2019] [Indexed: 01/23/2023]
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23
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Kemény F, Lukács Á. Sequence in a sequence: Learning of auditory but not visual patterns within a multimodal sequence. Acta Psychol (Amst) 2019; 199:102905. [PMID: 31404742 DOI: 10.1016/j.actpsy.2019.102905] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 06/05/2019] [Accepted: 08/04/2019] [Indexed: 11/29/2022] Open
Abstract
The current study investigates whether a unimodal visual and a unimodal auditory sequence is learned separately in a multimodal learning situation. In two experiments participants faced a modified version of the Serial Reaction-Time task, in which auditory and visual elements followed each other, forming a multimodal sequence as well as two unimodal sequences. Learning of both the multimodal and the unimodal sequences were tested. Results showed evidence of multimodal sequence learning. The unimodal sequence formed by the auditory stimuli was also learned, while participants did not acquire the concurrent visual sequence. The experiments argue for a domain- and modality-general sequence learning mechanism that is more sensitive to auditory and response-based information than to visual information.
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Affiliation(s)
- Ferenc Kemény
- Institute of Psychology, University of Graz, Graz, Austria; Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary.
| | - Ágnes Lukács
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary; HAS-BME Lendület Language Acquisition Research Group, Budapest, Hungary
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24
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Structural connectivity prior to whole-body sensorimotor skill learning associates with changes in resting state functional connectivity. Neuroimage 2019; 197:191-199. [DOI: 10.1016/j.neuroimage.2019.04.062] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 04/12/2019] [Accepted: 04/23/2019] [Indexed: 12/13/2022] Open
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25
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Sakreida K, Higuchi S, Di Dio C, Ziessler M, Turgeon M, Roberts N, Vogt S. Cognitive Control Structures in the Imitation Learning of Spatial Sequences and Rhythms-An fMRI Study. Cereb Cortex 2019; 28:907-923. [PMID: 28077513 DOI: 10.1093/cercor/bhw414] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Accepted: 12/22/2016] [Indexed: 01/25/2023] Open
Abstract
Imitation learning involves the acquisition of novel motor patterns based on action observation (AO). We used event-related functional magnetic resonance imaging to study the imitation learning of spatial sequences and rhythms during AO, motor imagery (MI), and imitative execution in nonmusicians and musicians. While both tasks engaged the fronto-parietal mirror circuit, the spatial sequence task recruited posterior parietal and dorsal premotor regions more strongly. The rhythm task involved an additional network for auditory working memory. This partial dissociation supports the concept of task-specific mirror mechanisms. Two regions of cognitive control were identified: 1) dorsolateral prefrontal cortex (DLPFC) was found to be more strongly activated during MI of novel spatial sequences, which allowed us to extend the 2-level model of imitation learning by Buccino et al. (2004) to spatial sequences. 2) During imitative execution of both tasks, the posterior medial frontal cortex was robustly activated, along with the DLPFC, which suggests that both regions are involved in the cognitive control of imitation learning. The musicians' selective behavioral advantage for rhythm imitation was reflected cortically in enhanced sensory-motor processing during AO and by the absence of practice-related activation differences in DLPFC during rhythm execution.
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Affiliation(s)
- Katrin Sakreida
- Department of Neurosurgery, Medical Faculty, RWTH Aachen University, 52074 Aachen, Germany
| | - Satomi Higuchi
- Department of Psychology, Lancaster University, Lancaster LA1 4YF, UK.,Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool L69 3GE, UK.,Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Morioka, Iwate 020-8505, Japan
| | - Cinzia Di Dio
- Department of Psychology, Universita Cattolica del Sacro Cuore, 20123 Milan, Italy
| | - Michael Ziessler
- Department of Psychology, Liverpool Hope University, Liverpool L16 9JD, UK
| | - Martine Turgeon
- Centre de recherche interdisciplinaire en réadaptation (CRIR), Centre intégré universitaire de santé et de services sociaux (CIUSSS) du Centre-Est-de-l'Ile-de-Montréal, Montréal, Québec, Canada H2H 2N8
| | - Neil Roberts
- Clinical Research Imaging Centre (CRIC), School of Clinical Sciences, University of Edinburgh, Edinburgh EH16 4TJ, Scotland, UK
| | - Stefan Vogt
- Department of Psychology, Lancaster University, Lancaster LA1 4YF, UK.,Magnetic Resonance and Image Analysis Research Centre, University of Liverpool, Liverpool L69 3GE, UK
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26
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Pinsard B, Boutin A, Gabitov E, Lungu O, Benali H, Doyon J. Consolidation alters motor sequence-specific distributed representations. eLife 2019; 8:e39324. [PMID: 30882348 PMCID: PMC6461441 DOI: 10.7554/elife.39324] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 03/16/2019] [Indexed: 12/11/2022] Open
Abstract
Functional magnetic resonance imaging (fMRI) studies investigating the acquisition of sequential motor skills in humans have revealed learning-related functional reorganizations of the cortico-striatal and cortico-cerebellar motor systems accompanied with an initial hippocampal contribution. Yet, the functional significance of these activity-level changes remains ambiguous as they convey the evolution of both sequence-specific knowledge and unspecific task ability. Moreover, these changes do not specifically assess the occurrence of learning-related plasticity. To address these issues, we investigated local circuits tuning to sequence-specific information using multivariate distances between patterns evoked by consolidated or newly acquired motor sequences production. The results reveal that representations in dorsolateral striatum, prefrontal and secondary motor cortices are greater when executing consolidated sequences than untrained ones. By contrast, sequence representations in the hippocampus and dorsomedial striatum becomes less engaged. Our findings show, for the first time in humans, that complementary sequence-specific motor representations evolve distinctively during critical phases of skill acquisition and consolidation.
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Affiliation(s)
- Basile Pinsard
- Laboratoire d’Imagerie BiomédicaleSorbonne Université, CNRS, INSERMParisFrance
- Functional Neuroimaging UnitCentre de Recherche de l'Institut Universitaire de Gériatrie de MontréalMontrealCanada
| | - Arnaud Boutin
- Functional Neuroimaging UnitCentre de Recherche de l'Institut Universitaire de Gériatrie de MontréalMontrealCanada
- McConnell Brain Imaging Centre, Montreal Neurological InstituteMcGill UniversityMontrealCanada
| | - Ella Gabitov
- Functional Neuroimaging UnitCentre de Recherche de l'Institut Universitaire de Gériatrie de MontréalMontrealCanada
- McConnell Brain Imaging Centre, Montreal Neurological InstituteMcGill UniversityMontrealCanada
| | - Ovidiu Lungu
- Functional Neuroimaging UnitCentre de Recherche de l'Institut Universitaire de Gériatrie de MontréalMontrealCanada
| | - Habib Benali
- Laboratoire d’Imagerie BiomédicaleSorbonne Université, CNRS, INSERMParisFrance
- PERFORM CentreConcordia UniversityMontrealCanada
| | - Julien Doyon
- Functional Neuroimaging UnitCentre de Recherche de l'Institut Universitaire de Gériatrie de MontréalMontrealCanada
- McConnell Brain Imaging Centre, Montreal Neurological InstituteMcGill UniversityMontrealCanada
- Department of Neurology and Neurosurgery, Montreal Neurological InstituteMcGill UniversityMontrealCanada
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27
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Transcranial static magnetic stimulation over the primary motor cortex alters sequential implicit motor learning. Neurosci Lett 2018; 696:33-37. [PMID: 30552943 DOI: 10.1016/j.neulet.2018.12.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 11/20/2018] [Accepted: 12/07/2018] [Indexed: 01/25/2023]
Abstract
Transcranial static magnetic stimulation (tSMS) is a recently introduced noninvasive brain stimulation technique that can modulate brain excitability. Here, we investigated a hypothesis that motor learning would be altered by tSMS applied to the primary motor cortex (M1). For motor task, we chose a serial reaction time task consisting of sequential trials and random trials in which the visual cue doesn't play out a repeating pattern of positions to evaluate an implicit motor learning, where the M1 is a key structure for skill acquisition and early consolidation. Forty-four healthy right-handed volunteers participated in the present study. TSMS was placed over the right M1 or dorsolateral prefrontal cortex (DLPFC). The control group received Sham stimulation over the right M1. Reaction times (RTs) of left hand were analyzed before (Pre session) and after (Post session) practice to examine online learning, and were also assessed 24 h later to examine offline learning (Cons session). The results showed that the RTs became faster in Post than Pre session regardless of the stimulation location. Interestingly, the RTs were significantly faster with the M1 stimulation than the DLPFC or Sham stimulation in Cons session. There was not significant difference in error rate among sessions or stimulation locations. These findings suggest that the modulation of the M1 using tSMS can enhance offline motor learning in an implicit task.
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28
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Explaining the neural activity distribution associated with discrete movement sequences: Evidence for parallel functional systems. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2018; 19:138-153. [PMID: 30406305 PMCID: PMC6344389 DOI: 10.3758/s13415-018-00651-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
To explore the effects of practice we scanned participants with fMRI while they were performing four-key unfamiliar and familiar sequences, and compared the associated activities relative to simple control sequences. On the basis of a recent cognitive model of sequential motor behavior (C-SMB), we propose that the observed neural activity would be associated with three functional networks that can operate in parallel and that allow (a) responding to stimuli in a reaction mode, (b) sequence execution using spatial sequence representations in a central-symbolic mode, and (c) sequence execution using motor chunk representations in a chunking mode. On the basis of this model and findings in the literature, we predicted which neural areas would be active during execution of the unfamiliar and familiar keying sequences. The observed neural activities were largely in line with our predictions, and allowed functions to be attributed to the active brain areas that fit the three above functional systems. The results corroborate C-SMB’s assumption that at advanced skill levels the systems executing motor chunks and translating key-specific stimuli are racing to trigger individual responses. They further support recent behavioral indications that spatial sequence representations continue to be used.
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29
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Wang WC, Wing EA, Murphy DLK, Luber BM, Lisanby SH, Cabeza R, Davis SW. Excitatory TMS modulates memory representations. Cogn Neurosci 2018; 9:151-166. [PMID: 30124357 DOI: 10.1080/17588928.2018.1512482] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Brain stimulation technologies have seen increasing application in basic science investigations, specifically toward the goal of improving memory function. However, proposals concerning the neural mechanisms underlying cognitive enhancement often rely on simplified notions of excitation. As a result, most applications examining the effects of transcranial magnetic stimulation (TMS) on functional neuroimaging measures have been limited to univariate analyses of brain activity. We present here analyses using representational similarity analysis (RSA) and encoding-retrieval similarity (ERS) analysis to quantify the effect of TMS on memory representations. To test whether an increase in local excitability in PFC can have measurable influences on upstream representations in earlier temporal memory regions, we compared 1 and 5Hz stimulation to the left dorsolateral PFC (DLPFC). We found that 5Hz rTMS, relative to 1Hz, had multiple effects on neural representations: 1) greater representational similarity during both encoding and retrieval in ventral stream regions, 2) greater ERS in the hippocampus, and, critically, 3) increasing ERS in MTL was correlated with increasing univariate activity in DLPFC, and greater functional connectivity for hits than misses between these regions. These results provide the first evidence of rTMS modulating semantic representations and strengthen the idea that rTMS may affect the reinstatement of previously experienced events in upstream regions.
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Affiliation(s)
- Wei-Chun Wang
- a Center for Cognitive Neuroscience , Duke University , Durham , NC , USA
| | - Erik A Wing
- a Center for Cognitive Neuroscience , Duke University , Durham , NC , USA
| | - David L K Murphy
- a Center for Cognitive Neuroscience , Duke University , Durham , NC , USA
| | - Bruce M Luber
- b Psychiatry and Behavioral Neuroscience , Duke University School of Medicine , Durham , NC , USA.,c National Institute of Mental Health , Bethesda , MD , USA
| | - Sarah H Lisanby
- b Psychiatry and Behavioral Neuroscience , Duke University School of Medicine , Durham , NC , USA.,c National Institute of Mental Health , Bethesda , MD , USA.,d Psychology & Neuroscience , Duke University , Durham , NC , USA
| | - Roberto Cabeza
- a Center for Cognitive Neuroscience , Duke University , Durham , NC , USA.,d Psychology & Neuroscience , Duke University , Durham , NC , USA
| | - Simon W Davis
- a Center for Cognitive Neuroscience , Duke University , Durham , NC , USA.,e Neurology , Duke University School of Medicine , Durham , NC , USA
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30
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Zhao H, Li X, Karolis V, Feng Y, Niu H, Butterworth B. Arithmetic learning modifies the functional connectivity of the fronto-parietal network. Cortex 2018; 111:51-62. [PMID: 30453223 DOI: 10.1016/j.cortex.2018.07.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 05/29/2018] [Accepted: 07/16/2018] [Indexed: 11/28/2022]
Abstract
How Resting-State Functional Connectivity (RSFC) is modified by learning is an important but rarely asked question. Here we used functional near-infrared spectroscopy (fNIRS) to measure changes in RSFC after learning novel subtraction and multiplication facts by forty-one young adult volunteers. We also measured changes in regional hemoglobin concentration. Fronto-parietal RSFC was modified by arithmetic learning and the fronto-parietal RSFC configuration before learning predicted the effectiveness of arithmetic learning. We also found a significant learning effect indicated by a monotonic decrease in reaction time and an increase in accuracy. Regional task-dependent oxy-hemoglobin concentration differentiated subtraction from multiplication learning supporting previous fMRI findings. These results suggest the sensitivity and importance of fronto-parietal connectivity to arithmetic learning.
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Affiliation(s)
- Hui Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China; Siegler Center for Innovations in Learning, Beijing Normal University, Beijing, PR China.
| | - Xiaoxi Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China.
| | - Vyacheslav Karolis
- Frontlab, Institut du Cerveau et de la Moelle épinière (ICM), Hôpital de la Salpêtrière, France; Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, UK.
| | - Yi Feng
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China; Siegler Center for Innovations in Learning, Beijing Normal University, Beijing, PR China.
| | - Haijing Niu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China.
| | - Brian Butterworth
- Institute of Cognitive Neuroscience, University College London, UK; Center for Mind, Brain, and Learning, National Cheng Chi University, Taiwan; Psychological Sciences, Melbourne University, Australia.
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31
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Dayan E, Herszage J, Laor-Maayany R, Sharon H, Censor N. Neuromodulation of reinforced skill learning reveals the causal function of prefrontal cortex. Hum Brain Mapp 2018; 39:4724-4732. [PMID: 30043536 DOI: 10.1002/hbm.24317] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 06/19/2018] [Accepted: 07/06/2018] [Indexed: 01/23/2023] Open
Abstract
Accumulating evidence has suggested functional interactions between prefrontal cortex (PFC) and dissociable large-scale networks. However, how these networks interact in the human brain to enable complex behaviors is not well-understood. Here, using a combination of behavioral, brain stimulation and neuroimaging paradigms, we tested the hypothesis that human PFC is required for successful reinforced skill formation. We additionally tested the extent to which PFC-dependent skill formation is related to intrinsic functional communication with this region. We report that inhibitory noninvasive transcranial magnetic stimulation over lateral PFC, a hub region with a diverse connectivity profile, causally modulated effective reinforcement-based motor skill acquisition. Furthermore, PFC-dependent skill formation was strongly related to the strength of functional connectivity between the PFC and regions in the sensorimotor network. These results point to the involvement of lateral PFC in the neural architecture that underlies the acquisition of complex skills, and suggest that, in relation to skill acquisition, this region may be involved in functional interactions with sensorimotor networks.
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Affiliation(s)
- Eran Dayan
- Department of Radiology, Biomedical Research Imaging Center and Neuroscience Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Jasmine Herszage
- School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Rony Laor-Maayany
- School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Haggai Sharon
- Center for Brain Functions and Institute of Pain Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Nitzan Censor
- School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
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32
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Nydam AS, Sewell DK, Dux PE. Cathodal electrical stimulation of frontoparietal cortex disrupts statistical learning of visual configural information. Cortex 2018; 99:187-199. [DOI: 10.1016/j.cortex.2017.11.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Revised: 06/30/2017] [Accepted: 11/13/2017] [Indexed: 11/27/2022]
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33
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Processing of implicit versus explicit predictive contextual information in Parkinson's disease. Neuropsychologia 2018; 109:39-51. [DOI: 10.1016/j.neuropsychologia.2017.12.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Revised: 11/30/2017] [Accepted: 12/02/2017] [Indexed: 12/24/2022]
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34
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Lusicic A, Schruers KR, Pallanti S, Castle DJ. Transcranial magnetic stimulation in the treatment of obsessive-compulsive disorder: current perspectives. Neuropsychiatr Dis Treat 2018; 14:1721-1736. [PMID: 29988759 PMCID: PMC6029675 DOI: 10.2147/ndt.s121140] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Repetitive transcranial magnetic stimulation (rTMS) is a noninvasive neurostimulation technique receiving increasing attention in the treatment of different psychiatric disorders. Evidence for rTMS use in obsessive-compulsive disorder (OCD) is accumulating and informing further developments in the neurostimulation field, the latest being deep transcranial magnetic stimulation (dTMS). dTMS allows direct stimulation of deeper subcortical structures and larger brain volume than conventional rTMS. Underlying neurobiological mechanisms related to transcranial magnetic stimulation are still under evaluation, but appear to offer a novel "third" way of addressing symptoms via localized electrical stimulation compared to pharmacotherapy and psychotherapy approaches. This systematic review focuses on the effects of rTMS and dTMS stimulation on different brain targets in OCD. Brain areas included are the dorsolateral prefrontal cortex, supplementary motor area, orbitofrontal cortex/medial prefrontal cortex, and anterior cingulate cortex (ACC). Improved understanding of the therapeutic effects of rTMS in OCD will support fine-tuning of the method and help determine how we can best optimize the approach via rTMS or dTMS to achieve clinically relevant results.
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Affiliation(s)
- Ana Lusicic
- PACE Clinic, Orygen Youth Health, Melbourne, VIC, Australia,
| | - Koen Rj Schruers
- Research Institute for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Stefano Pallanti
- Institute of Neurosciences, Florence, Italy.,Stanford University, Palo Alto, CA, USA
| | - David J Castle
- St Vincent's Hospital.,University of Melbourne, Melbourne, VIC, Australia
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35
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Valero-Cabré A, Amengual JL, Stengel C, Pascual-Leone A, Coubard OA. Transcranial magnetic stimulation in basic and clinical neuroscience: A comprehensive review of fundamental principles and novel insights. Neurosci Biobehav Rev 2017; 83:381-404. [DOI: 10.1016/j.neubiorev.2017.10.006] [Citation(s) in RCA: 190] [Impact Index Per Article: 27.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Revised: 09/29/2017] [Accepted: 10/06/2017] [Indexed: 01/13/2023]
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36
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Sequence-specific implicit motor learning using whole-arm three-dimensional reach movements. Exp Brain Res 2017; 236:59-67. [PMID: 29075834 PMCID: PMC6530897 DOI: 10.1007/s00221-017-5107-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 10/12/2017] [Indexed: 10/18/2022]
Abstract
Implicit motor learning is essential to the acquisition of motor skills. Examination of implicit motor learning, however, has largely involved single-finger button presses or two-dimensional movements of a computer mouse or joystick. The purpose of this study was to examine sequence-specific implicit motor learning during practice of a three-dimensional (3D) whole-arm reach task. Fifteen young, non-disabled individuals completed two consecutive days of practice of a 3D target task presented in a virtual environment with the dominant, right arm. Stimuli were displayed one at a time and alternated between an eight-target random sequence and an eight-target repeated sequence. Movement of the shoulder and elbow was required to successfully capture a target. Performance was indicated by time to complete a sequence (response time) and analyzed by sequence type (random, repeated). Kinematic data (total distance to complete a sequence, peak velocity, and time to peak velocity) were used to determine how movement changed over time. Results showed significant improvements in performance early in practice, regardless of sequence type. However, individuals completed the repeated sequence faster than the random sequence, indicating sequence-specific implicit motor learning. The difference in response time between the sequence types was driven by the total distance of the hand path; the distance traveled for the repeated sequence was shorter than the distance of the random sequence. Examination of implicit motor learning using 3D reach movements provides the opportunity to study learning using whole-arm movements, an important component of many real-world, functional tasks.
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37
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No effects of transcranial DLPFC stimulation on implicit task sequence learning and consolidation. Sci Rep 2017; 7:9649. [PMID: 28852114 PMCID: PMC5575284 DOI: 10.1038/s41598-017-10128-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Accepted: 07/27/2017] [Indexed: 12/11/2022] Open
Abstract
Neurostimulation of the dorsolateral prefrontal cortex (DLPFC) can modulate performance in cognitive tasks. In a recent study, however, transcranial direct current stimulation (tDCS) of the DLPFC did not affect implicit task sequence learning and consolidation in a paradigm that involved bimanual responses. Because bimanual performance increases the coupling between homologous cortical areas of the hemispheres and left and right DLPFC were stimulated separately the null findings may have been due to the bimanual setup. The aim of the present study was to test the effect of neuro-stimulation on sequence learning in a uni-manual setup. For this purpose two experiments were conducted. In Experiment 1, the DLPFC was stimulated with tDCS. In Experiment 2 the DLPFC was stimulated with transcranial magnetic stimulation (TMS). In both experiments, consolidation was measured 24 hours later. The results showed that sequence learning was present in all conditions and sessions, but it was not influenced by stimulation. Likewise, consolidation of sequence learning was robust across sessions, but it was not influenced by stimulation. These results replicate and extend previous findings. They indicate that established tDCS and TMS protocols on the DLPFC do not influence implicit task sequence learning and consolidation.
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38
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Tanaka K, Watanabe K. Effects of an Additional Sequence of Color Stimuli on Visuomotor Sequence Learning. Front Psychol 2017; 8:937. [PMID: 28659839 PMCID: PMC5468433 DOI: 10.3389/fpsyg.2017.00937] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Accepted: 05/22/2017] [Indexed: 11/13/2022] Open
Abstract
Through practice, people are able to integrate a secondary sequence (e.g., a stimulus-based sequence) into a primary sequence (e.g., a response-based sequence), but it is still controversial whether the integrated sequences lead to better learning than only the primary sequence. In the present study, we aimed to investigate the effects of a sequence that integrated space and color sequences on early and late learning phases (corresponding to effector-independent and effector-dependent learning, respectively) and how the effects differed in the integrated and primary sequences in each learning phase. In the task, the participants were required to learn a sequence of button presses using trial-and-error and to perform the sequence successfully for 20 trials (m × n task). First, in the baseline task, all participants learned a non-colored sequence, in which the response button always turned red. Then, in the learning task, the participants were assigned to two groups: a colored sequence group (i.e., space and color) or a non-colored sequence group (i.e., space). In the colored sequence, the response button turned a pre-determined color and the participants were instructed to attend to the sequences of both location and color as much as they could. The results showed that the participants who performed the colored sequence acquired the correct button presses of the sequence earlier, but showed a slower mean performance time than those who performed the non-colored sequence. Moreover, the slower performance time in the colored sequence group remained in a subsequent transfer task in which the spatial configurations of the buttons were vertically mirrored from the learning task. These results indicated that if participants explicitly attended to both the spatial response sequence and color stimulus sequence at the same time, they could develop their spatial representations of the sequence earlier (i.e., early development of the effector-independent learning), but might not be able to enhance their motor representations of the sequence (i.e., late development of the effector-dependent learning). Thus, the undeveloped effector-dependent representations in the colored sequence group directly led to a long performance time in the transfer sequence.
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Affiliation(s)
- Kanji Tanaka
- Faculty of Science and Engineering, Waseda UniversityTokyo, Japan.,Research Center for Advanced Science and Technology, The University of TokyoTokyo, Japan.,Japan Society for the Promotion of ScienceTokyo, Japan
| | - Katsumi Watanabe
- Faculty of Science and Engineering, Waseda UniversityTokyo, Japan.,Research Center for Advanced Science and Technology, The University of TokyoTokyo, Japan
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The involvement of the fronto-parietal brain network in oculomotor sequence learning using fMRI. Neuropsychologia 2016; 87:1-11. [DOI: 10.1016/j.neuropsychologia.2016.04.021] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Revised: 03/16/2016] [Accepted: 04/20/2016] [Indexed: 11/21/2022]
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Meissner SN, Keitel A, Südmeyer M, Pollok B. Implicit Motor Sequence Learning and Working Memory Performance Changes Across the Adult Life Span. Front Aging Neurosci 2016; 8:89. [PMID: 27199736 PMCID: PMC4844614 DOI: 10.3389/fnagi.2016.00089] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2016] [Accepted: 04/11/2016] [Indexed: 11/13/2022] Open
Abstract
Although implicit motor sequence learning is rather well understood in young adults, effects of aging on this kind of learning are controversial. There is first evidence that working memory (WM) might play a role in implicit motor sequence learning in young adults as well as in adults above the age of 65. However, the knowledge about the development of these processes across the adult life span is rather limited. As the average age of our population continues to rise, a better understanding of age-related changes in motor sequence learning and potentially mediating cognitive processes takes on increasing significance. Therefore, we investigated aging effects on implicit motor sequence learning and WM. Sixty adults (18–71 years) completed verbal and visuospatial n-back tasks and were trained on a serial reaction time task (SRTT). Randomly varying trials served as control condition. To further assess consolidation indicated by off-line improvement and reduced susceptibility to interference, reaction times (RTs) were determined 1 h after initial learning. Young and older but not middle-aged adults showed motor sequence learning. Nine out of 20 older adults (compared to one young/one middle-aged) exhibited some evidence of sequence awareness. After 1 h, young and middle-aged adults showed off-line improvement. However, RT facilitation was not specific to sequence trials. Importantly, susceptibility to interference was reduced in young and older adults indicating the occurrence of consolidation. Although WM performance declined in older participants when load was high, it was not significantly related to sequence learning. The data reveal a decline in motor sequence learning in middle-aged but not in older adults. The use of explicit learning strategies in older adults might account for the latter result.
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Affiliation(s)
- Sarah Nadine Meissner
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Duesseldorf, Germany
| | - Ariane Keitel
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Duesseldorf, Germany
| | - Martin Südmeyer
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-UniversityDuesseldorf, Germany; Department of Neurology, Medical Faculty, Heinrich-Heine-UniversityDuesseldorf, Germany
| | - Bettina Pollok
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Duesseldorf, Germany
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Mörkl S, Blesl C, Jahanshahi M, Painold A, Holl A. Impaired probabilistic classification learning with feedback in patients with major depression. Neurobiol Learn Mem 2016; 127:48-55. [DOI: 10.1016/j.nlm.2015.12.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2015] [Revised: 11/30/2015] [Accepted: 12/06/2015] [Indexed: 10/22/2022]
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Cavaco S, Anderson SW, Chen KH, Teixeira-Pinto A, Damasio H. Parietal damage impairs learning of a visuomotor tracking skill. Neuropsychologia 2015; 79:106-12. [PMID: 26536523 DOI: 10.1016/j.neuropsychologia.2015.10.038] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Revised: 10/14/2015] [Accepted: 10/31/2015] [Indexed: 11/25/2022]
Abstract
This study evaluated the consequences of damage to the parietal lobe for learning a visuomotor tracking skill. Thirty subjects with a single unilateral brain lesion (13 with and 17 without parietal damage) and 23 demographically comparable healthy subjects performed the Rotary Pursuit task. For each group, time on target increased significantly across the four learning blocks. Subjects with parietal lesions had smaller improvements on the Rotary Pursuit from the 1st to the 4th block than subjects with lesions in other brain areas and healthy comparison subjects. The improvements on task performance from the 1st to the 2nd and from the 1st to the 3rd learning blocks were similar between groups. The parietal lobe appears to play an important role in the acquisition of a new visuomotor tracking skill, in particular during a relatively late phase of learning.
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Affiliation(s)
- Sara Cavaco
- Division of Behavioral Neurology and Cognitive Neuroscience, University of Iowa Carver College of Medicine, Iowa City, IA, USA; Unidade de Neuropsicologia, Centro Hospitalar do Porto, Porto, Portugal.
| | - Steven W Anderson
- Division of Behavioral Neurology and Cognitive Neuroscience, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Kuan-Hua Chen
- Division of Behavioral Neurology and Cognitive Neuroscience, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Armando Teixeira-Pinto
- Screening and Test Evaluation Program, Sydney School of Public Health, University of Sydney, Sydney, Australia
| | - Hanna Damasio
- Dornsife Cognitive Neuroscience Imaging Center and Brain and Creative Center, University of Southern California, Los Angeles, CA, USA
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Poorer aerobic fitness relates to reduced integrity of multiple memory systems. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2015; 14:1132-41. [PMID: 24590393 DOI: 10.3758/s13415-014-0265-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Epidemiological investigations have revealed increases in the prevalence of sedentary behaviors in industrialized societies. However, the implications of those lifestyle choices and related cardiorespiratory fitness levels for memory function are not well-understood. To determine the extent to which cardiorespiratory fitness relates to the integrity of multiple memory systems, a cross-sectional sample of young adults were tested over the course of 3 days in areas related to implicit memory, working memory, long-term memory, and aerobic fitness. Findings revealed an association between aerobic fitness and memory function such that individuals with lower cardiorespiratory fitness exhibited poorer implicit memory performance and poorer long-term memory retention. These data indicate that cardiorespiratory fitness may be important for the optimal function of neural networks underlying these memory systems.
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Yokoyama JS, Sturm VE, Bonham LW, Klein E, Arfanakis K, Yu L, Coppola G, Kramer JH, Bennett DA, Miller BL, Dubal DB. Variation in longevity gene KLOTHO is associated with greater cortical volumes. Ann Clin Transl Neurol 2015; 2:215-30. [PMID: 25815349 PMCID: PMC4369272 DOI: 10.1002/acn3.161] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Accepted: 11/24/2014] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE Identifying genetic variation associated with brain structures in aging may elucidate new biologic mechanisms underlying resilience to cognitive decline. We investigated whether carrying one copy of the protective haplotype "KL-VS" in longevity gene KLOTHO (KL) is associated with greater gray matter volume in healthy human aging compared to carrying no copies. METHODS We performed unbiased whole-brain analysis in cognitively normal older adults from two independent cohorts to assess the relationship between KL-VS and gray matter volume using voxel-based morphometry. RESULTS We found that KL-VS heterozygosity was associated with greater volume in right dorsolateral prefrontal cortex (rDLPFC). Because rDLPFC is important for executive function, we analyzed working memory and processing speed in individuals. KL-VS heterozygosity was associated with enhanced executive function. Larger rDLPFC volume correlated with better executive function across the lifespan examined. Statistical analysis suggested that volume partially mediates the effect of genotype on cognition. INTERPRETATION These results suggest that variation in KL is associated with bigger brain volume and better function.
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Affiliation(s)
- Jennifer S Yokoyama
- Department of Neurology, University of California San FranciscoSan Francisco, California, 94158
| | - Virginia E Sturm
- Department of Neurology, University of California San FranciscoSan Francisco, California, 94158
| | - Luke W Bonham
- Department of Neurology, University of California San FranciscoSan Francisco, California, 94158
| | - Eric Klein
- Department of Neurology and Semel Institute for Neuroscience and Human Behavior, The David Geffen School of Medicine at University of California Los AngelesLos Angeles, California, 90095
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of TechnologyChicago, Illinois, 60616
- Rush Alzheimer's Disease Center, Rush University Medical CenterChicago, Illinois, 60612
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical CenterChicago, Illinois, 60612
| | - Giovanni Coppola
- Department of Neurology and Semel Institute for Neuroscience and Human Behavior, The David Geffen School of Medicine at University of California Los AngelesLos Angeles, California, 90095
| | - Joel H Kramer
- Department of Neurology, University of California San FranciscoSan Francisco, California, 94158
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical CenterChicago, Illinois, 60612
| | - Bruce L Miller
- Department of Neurology, University of California San FranciscoSan Francisco, California, 94158
| | - Dena B Dubal
- Department of Neurology, University of California San FranciscoSan Francisco, California, 94158
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Abstract
Different memories follow different processing pathways. For example, some motor skill memories are enhanced over wakefulness, whereas others are instead enhanced over sleep. The processing pathway that a motor skill memory follows may be determined by functional changes within motor circuits. We tested this idea using transcranial magnetic stimulation to measure corticospinal excitability at 6, 21, 36, 96, and 126 min after participants learnt tasks that either were or were not enhanced over wakefulness. There was no change in corticospinal excitability after learning a motor skill that was subsequently enhanced; whereas, there was a substantial transient decrease in corticospinal excitability after learning a motor skill that was not enhanced. In subsequent experiments, we abolished the decrease in corticospinal excitability by applying theta burst stimulation to either the dorsolateral prefrontal or primary motor cortex, and induced motor skill improvements during consolidation. The motor skill improvements in each experiment were correlated with the corticospinal excitability after learning. Together, these experiments suggest that corticospinal excitability changes act as a physiological signal, which prevents improvements from developing over wakefulness, and so when this signal is abolished improvements are induced. Our observations show that the human brain can actively prevent the processing of memories, and provides insights into the mechanisms that control the fate of memories.
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Shmuelof L, Yang J, Caffo B, Mazzoni P, Krakauer JW. The neural correlates of learned motor acuity. J Neurophysiol 2014; 112:971-80. [PMID: 24848466 DOI: 10.1152/jn.00897.2013] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
We recently defined a component of motor skill learning as "motor acuity," quantified as a shift in the speed-accuracy trade-off function for a task. These shifts are primarily driven by reductions in movement variability. To determine the neural correlates of improvement in motor acuity, we devised a motor task compatible with magnetic resonance brain imaging that required subjects to make finely controlled wrist movements under visual guidance. Subjects were imaged on day 1 and day 5 while they performed this task and were trained outside the scanner on intervening days 2, 3, and 4. The potential confound of performance changes between days 1 and 5 was avoided by constraining movement time to a fixed duration. After training, subjects showed a marked increase in success rate and a reduction in trial-by-trial variability for the trained task but not for an untrained control task, without changes in mean trajectory. The decrease in variability for the trained task was associated with increased activation in contralateral primary motor and premotor cortical areas and in ipsilateral cerebellum. A global nonlocalizing multivariate analysis confirmed that learning was associated with increased overall brain activation. We suggest that motor acuity is acquired through increases in the number of neurons recruited in contralateral motor cortical areas and in ipsilateral cerebellum, which could reflect increased signal-to-noise ratio in motor output and improved state estimation for feedback corrections, respectively.
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Affiliation(s)
- Lior Shmuelof
- Department of Brain and Cognitive Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel;
| | - Juemin Yang
- Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland
| | - Brian Caffo
- Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland
| | - Pietro Mazzoni
- Motor Performance Laboratory, The Neurological Institute, Columbia University, New York, New York; and
| | - John W Krakauer
- Departments of Neurology and Neuroscience, Johns Hopkins University, Baltimore, Maryland
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Roig M, Ritterband-Rosenbaum A, Lundbye-Jensen J, Nielsen JB. Aging increases the susceptibility to motor memory interference and reduces off-line gains in motor skill learning. Neurobiol Aging 2014; 35:1892-900. [PMID: 24680325 DOI: 10.1016/j.neurobiolaging.2014.02.022] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2013] [Revised: 02/01/2014] [Accepted: 02/26/2014] [Indexed: 10/25/2022]
Abstract
Declines in the ability to learn motor skills in older adults are commonly attributed to deficits in the encoding of sensorimotor information during motor practice. We investigated whether aging also impairs motor memory consolidation by assessing the susceptibility to memory interference and off-line gains in motor skill learning after practice in children, young, and older adults. Subjects performed a ballistic task (A) followed by an accuracy-tracking task (B) designed to disrupt the consolidation of A. Retention tests of A were performed immediately and 24 hours after B. Older adults showed greater susceptibility to memory interference and no off-line gains in motor skill learning. Performing B produced memory interference and reduced off-line gains only in the older group. However, older adults also showed deficits in memory consolidation independent of the interfering effects of B. Age-related declines in motor skill learning are not produced exclusively by deficits in the encoding of sensorimotor information during practice. Aging also increases the susceptibility to memory interference and reduces off-line gains in motor skill learning after practice.
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Affiliation(s)
- Marc Roig
- School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada; Department of Neuroscience and Pharmacology, University of Copenhagen, Copenhagen N, Denmark; Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen N, Denmark.
| | - Anina Ritterband-Rosenbaum
- Department of Neuroscience and Pharmacology, University of Copenhagen, Copenhagen N, Denmark; Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen N, Denmark
| | - Jesper Lundbye-Jensen
- Department of Neuroscience and Pharmacology, University of Copenhagen, Copenhagen N, Denmark; Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen N, Denmark
| | - Jens Bo Nielsen
- Department of Neuroscience and Pharmacology, University of Copenhagen, Copenhagen N, Denmark; Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen N, Denmark
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Filipowicz A, Anderson B, Danckert J. Learning what from where: Effects of spatial regularity on nonspatial sequence learning and updating. Q J Exp Psychol (Hove) 2013; 67:1447-56. [PMID: 24256413 DOI: 10.1080/17470218.2013.867518] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
The current study examined the influence of redundant stimulus features on our ability to build and update representations of our environment. We hypothesized that our ability to process redundant spatial features would speed our ability to adapt to changing nonspatial regularities. Using a computerized version of the children's game "rock-paper-scissors", undergraduates were instructed to win as often as possible against a computer opponent. The computer's plays were repeating sequences of five choices that were presented either with spatial regularity (i.e., "rock" would always appear on the left, "paper" in the middle, and "scissors" on the right) or without spatial regularity (i.e., the items were equally likely to appear in any of the three locations). Once participants learned a sequence, the computer switched to a different sequence without participants being informed that a switch had occurred. Redundant spatial regularity improved a participant's ability both to learn sequences of plays and to update their plays to reflect new computer sequences. Our results suggest that our perceptual system is sensitive to redundant spatial stimulus features and that this information can improve learning and updating.
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Affiliation(s)
- Alex Filipowicz
- a Department of Psychology , University of Waterloo , Waterloo , ON , Canada
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Albouy G, King BR, Maquet P, Doyon J. Hippocampus and striatum: Dynamics and interaction during acquisition and sleep-related motor sequence memory consolidation. Hippocampus 2013; 23:985-1004. [DOI: 10.1002/hipo.22183] [Citation(s) in RCA: 171] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2013] [Indexed: 02/05/2023]
Affiliation(s)
- Geneviève Albouy
- Functional Neuroimaging Unit, C.R.I.U.G.M.; Montreal Quebec Canada
- Department of Psychology; University of Montreal; Montreal Quebec Canada
| | - Bradley R. King
- Functional Neuroimaging Unit, C.R.I.U.G.M.; Montreal Quebec Canada
- Department of Psychology; University of Montreal; Montreal Quebec Canada
| | - Pierre Maquet
- Cyclotron Research Centre, University of Liège; Liège Belgium
| | - Julien Doyon
- Functional Neuroimaging Unit, C.R.I.U.G.M.; Montreal Quebec Canada
- Department of Psychology; University of Montreal; Montreal Quebec Canada
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Cunningham DA, Machado A, Yue GH, Carey JR, Plow EB. Functional somatotopy revealed across multiple cortical regions using a model of complex motor task. Brain Res 2013; 1531:25-36. [PMID: 23920009 DOI: 10.1016/j.brainres.2013.07.050] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2013] [Revised: 07/01/2013] [Accepted: 07/29/2013] [Indexed: 10/26/2022]
Abstract
The primary motor cortex (M1) possesses a functional somatotopic structure-representations of adjacent within-limb joints overlap to facilitate coordination while maintaining discrete centers for individuated movement. We examined whether similar organization exists across other sensorimotor cortices. Twenty-four right-handed healthy subjects underwent functional magnetic resonance imaging (fMRI) while tracking complex targets with flexion/extension at right finger, elbow and ankle separately. Activation related to each joint at false discovery rate of 0.005 served as its representation across multiple regions. Within each region, we identified the center of mass (COM) for each representation, and the overlap between the representations of within-limb (finger and elbow) and between-limb joints (finger and ankle). Somatosensory (S1) and premotor cortices (PMC) demonstrated greater distinction of COM and minimal overlap for within- and between-limb representations. In contrast, M1 and supplementary motor area (SMA) showed more integrative somatotopy with higher sharing for within-limb representations. Superior and inferior parietal lobule (SPL and IPL) possessed both types of structure. Some clusters exhibited extensive overlap of within- and between-limb representations, while others showed discrete COMs for within-limb representations. Our results help to infer hierarchy in motor control. Areas such as S1 may be associated with individuated movements, while M1 may be more integrative for coordinated motion; parietal associative regions may allow switch between both modes of control. Such hierarchy creates redundant opportunities to exploit in stroke rehabilitation. The use of complex rather than traditionally used simple movements was integral to illustrating comprehensive somatotopic structure; complex tasks can potentially help to understand cortical representation of skill and learning-related plasticity.
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