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Lv Q, Wang X, Wang X, Ge S, Lin P. Connectome-based prediction modeling of cognitive control using functional and structural connectivity. Brain Cogn 2024; 181:106221. [PMID: 39250856 DOI: 10.1016/j.bandc.2024.106221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Revised: 08/12/2024] [Accepted: 09/01/2024] [Indexed: 09/11/2024]
Abstract
BACKGROUND Cognitive control involves flexibly configuring mental resources and adjusting behavior to achieve goal-directed actions. It is associated with the coordinated activity of brain networks, although it remains unclear how both structural and functional brain networks can predict cognitive control. Connectome-based predictive modeling (CPM) is a powerful tool for predicting cognitive control based on brain networks. METHODS The study used CPM to predict cognitive control in 102 healthy adults from the UCLA Consortium for Neuropsychiatric Phenomics dataset and further compared structural and functional connectome characteristics that support cognitive control. RESULTS Our results showed that both structural (r values 0.263-0.375) and functional (r values 0.336-0.503) connectomes can significantly predict individuals' cognitive control subcomponents. There is overlap between the functional and structural networks of all three cognitive control subcomponents, particularly in the frontoparietal (FP) and motor (Mot) networks, while each subcomponent also has its own unique weight prediction network. Overall, the functional and structural connectivity that supports different cognitive control subcomponents manifests overlapping and distinct spatial patterns. CONCLUSIONS The structural and functional connectomes provide complementary information for predicting cognitive control ability. Integrating information from both connectomes offers a more comprehensive understanding of the neural underpinnings of cognitive control.
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Affiliation(s)
- Qiuyu Lv
- Center for Mind & Brain Sciences and Institute of Interdisciplinary Studies, Hunan Normal University, Hunan, Changsha, 410081, China; Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; China National Clinical Research Center for Mental Disorders (Xiangya), Changsha, Hunan, China
| | - Xuanyi Wang
- Center for Mind & Brain Sciences and Institute of Interdisciplinary Studies, Hunan Normal University, Hunan, Changsha, 410081, China
| | - Xiang Wang
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; China National Clinical Research Center for Mental Disorders (Xiangya), Changsha, Hunan, China
| | - Sheng Ge
- Key Laboratory of Child Development and Learning Science, Ministry of Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 211189, China
| | - Pan Lin
- Center for Mind & Brain Sciences and Institute of Interdisciplinary Studies, Hunan Normal University, Hunan, Changsha, 410081, China.
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2
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Berlijn AM, Huvermann DM, Schneider S, Bellebaum C, Timmann D, Minnerop M, Peterburs J. The Role of the Human Cerebellum for Learning from and Processing of External Feedback in Non-Motor Learning: A Systematic Review. CEREBELLUM (LONDON, ENGLAND) 2024; 23:1532-1551. [PMID: 38379034 PMCID: PMC11269477 DOI: 10.1007/s12311-024-01669-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/07/2024] [Indexed: 02/22/2024]
Abstract
This review aimed to systematically identify and comprehensively review the role of the cerebellum in performance monitoring, focusing on learning from and on processing of external feedback in non-motor learning. While 1078 articles were screened for eligibility, ultimately 36 studies were included in which external feedback was delivered in cognitive tasks and which referenced the cerebellum. These included studies in patient populations with cerebellar damage and studies in healthy subjects applying neuroimaging. Learning performance in patients with different cerebellar diseases was heterogeneous, with only about half of all patients showing alterations. One patient study using EEG demonstrated that damage to the cerebellum was associated with altered neural processing of external feedback. Studies assessing brain activity with task-based fMRI or PET and one resting-state functional imaging study that investigated connectivity changes following feedback-based learning in healthy participants revealed involvement particularly of lateral and posterior cerebellar regions in processing of and learning from external feedback. Cerebellar involvement was found at different stages, e.g., during feedback anticipation and following the onset of the feedback stimuli, substantiating the cerebellum's relevance for different aspects of performance monitoring such as feedback prediction. Future research will need to further elucidate precisely how, where, and when the cerebellum modulates the prediction and processing of external feedback information, which cerebellar subregions are particularly relevant, and to what extent cerebellar diseases alter these processes.
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Affiliation(s)
- Adam M Berlijn
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
| | - Dana M Huvermann
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Neurology and Center for Translational and Behavioral Neurosciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Sandra Schneider
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Bellebaum
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Dagmar Timmann
- Department of Neurology and Center for Translational and Behavioral Neurosciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany
| | - Martina Minnerop
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Center for Movement Disorders and Neuromodulation, Medical Faculty & Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
| | - Jutta Peterburs
- Faculty of Mathematics and Natural Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
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3
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Arif Y, Son JJ, Okelberry HJ, Johnson HJ, Willett MP, Wiesman AI, Wilson TW. Modulation of movement-related oscillatory signatures by cognitive interference in healthy aging. GeroScience 2024; 46:3021-3034. [PMID: 38175521 PMCID: PMC11009213 DOI: 10.1007/s11357-023-01057-0] [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: 07/16/2023] [Accepted: 12/26/2023] [Indexed: 01/05/2024] Open
Abstract
Age-related changes in the neurophysiology underlying motor control are well documented, but whether these changes are specific to motor function or more broadly reflect age-related alterations in fronto-parietal circuitry serving attention and other higher-level processes remains unknown. Herein, we collected high-density magnetoencephalography (MEG) in 72 healthy adults (age 28-63 years) as they completed an adapted version of the multi-source interference task that involved two subtypes of cognitive interference (i.e., flanker and Simon) and their integration (i.e., multi-source). All MEG data were examined for age-related changes in neural oscillatory activity using a whole-brain beamforming approach. Our primary findings indicated robust behavioral differences in task performance based on the type of interference, as well as stronger beta oscillations with increasing age in the right dorsolateral prefrontal cortices (flanker and multi-source conditions), left parietal (flanker and Simon), and medial parietal regions (multi-source). Overall, these data indicate that healthy aging is associated with alterations in higher-order association cortices that are critical for attention and motor control in the context of cognitive interference.
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Affiliation(s)
- Yasra Arif
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA.
| | - Jake J Son
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
- College of Medicine, University of Nebraska Medical Center (UNMC), Omaha, NE, USA
| | - Hannah J Okelberry
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
| | - Hallie J Johnson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
| | - Madelyn P Willett
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
| | - Alex I Wiesman
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, USA
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
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4
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Pezzetta R, Gambarota F, Tarantino V, Devita M, Cattaneo Z, Arcara G, Mapelli D, Masina F. A meta-analysis of non-invasive brain stimulation (NIBS) effects on cerebellar-associated cognitive processes. Neurosci Biobehav Rev 2024; 157:105509. [PMID: 38101590 DOI: 10.1016/j.neubiorev.2023.105509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/28/2023] [Accepted: 12/10/2023] [Indexed: 12/17/2023]
Abstract
Non-invasive brain stimulation (NIBS) techniques, including transcranial magnetic stimulation (TMS) and transcranial electrical stimulation (tES), have provided valuable insights into the role of the cerebellum in cognitive processes. However, replicating findings from studies involving cerebellar stimulation poses challenges. This meta-analysis investigates the impact of NIBS on cognitive processes associated with the cerebellum. We conducted a systematic search and analyzed 66 studies and 91 experiments involving healthy adults who underwent either TMS or transcranial direct current stimulation (tDCS) targeting the cerebellum. The results indicate that anodal tDCS applied to the medial cerebellum enhances cognitive performance. In contrast, high-frequency TMS disrupts cognitive performance when targeting the lateral cerebellar hemispheres or when employed in online protocols. Similarly, low-frequency TMS and continuous theta burst stimulation (cTBS) diminish performance in offline protocols. Moreover, high-frequency TMS impairs accuracy. By identifying consistent effects and moderators of modulation, this meta-analysis contributes to improving the replicability of studies using NIBS on the cerebellum and provides guidance for future research aimed at developing effective NIBS interventions targeting the cerebellum.
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Affiliation(s)
| | - Filippo Gambarota
- Department of Developmental and Social Psychology, University of Padova, Padova, Italy
| | - Vincenza Tarantino
- Department of Psychology, Educational Science and Human Movement, University of Palermo, Italy
| | - Maria Devita
- Department of General Psychology, University of Padova, Padova, Italy; Geriatrics Unit, Department of Medicine, University of Padova, Padova, Italy.
| | - Zaira Cattaneo
- Department of Human and Social Sciences, University of Bergamo, Bergamo, Italy
| | | | - Daniela Mapelli
- Department of General Psychology, University of Padova, Padova, Italy
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5
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Mitsutake T, Nakazono H, Shiozaki T, Fujita D, Sakamoto M. Changes in vestibular-related responses to combined noisy galvanic vestibular stimulation and cerebellar transcranial direct current stimulation. Exp Brain Res 2024; 242:99-108. [PMID: 37966504 DOI: 10.1007/s00221-023-06731-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 10/25/2023] [Indexed: 11/16/2023]
Abstract
Vestibular nuclei and cerebellar function comprise vestibular neural networks that control vestibular-related responses. However, the vestibular-related responses to simultaneous stimulation of these regions are unclear. This study aimed to examine whether the combination of noisy galvanic vestibular stimulation (nGVS) and cerebellar transcranial direct current stimulation (ctDCS) using a complex transcranial electrical stimulation device alters vestibular-dominant standing stability and vestibulo-ocular reflex (VOR) function. The center of foot pressure (COP) sway and VOR of participants (28 healthy, young adults) were assessed under four conditions of transcranial electrical stimulation using nGVS and ctDCS. The COP was calculated with the participant standing on a soft-foam surface with eyes closed using a force plate to evaluate body sway. VOR measurements were collected via passive head movements and fixation on a target projected onto the front wall using a video head impulse test (vHIT). VOR gain was calculated in six directions using a semicircular canal structure based on the ratio of eye movement to head movement. The nGVS + ctDCS and nGVS + sham ctDCS conditions decreased COP sway compared to the sham nGVS + ctDCS and sham nGVS + sham ctDCS conditions. No significant differences were observed in the main effect of stimulation or the interaction of stimulation and direction on the vHIT parameters. The results of this study suggest that postural stability may be independently affected by nGVS. Our findings contribute to the basic neurological foundation for the clinical application of neurorehabilitation using transcranial electrical stimulation of the vestibular system.
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Affiliation(s)
- Tsubasa Mitsutake
- Department of Physical Therapy, Faculty of Medical Science, Fukuoka International University of Health and Welfare, 3-6-40 Momochihama, Sawara-Ku, Fukuoka, 814-0001, Japan.
| | - Hisato Nakazono
- Department of Occupational Therapy, Faculty of Medical Science, Fukuoka International University of Health and Welfare, Fukuoka, Japan
| | - Tomoyuki Shiozaki
- Department of Otolaryngology-Head and Neck Surgery, Nara Medical University, Nara, Japan
| | - Daisuke Fujita
- Department of Physical Therapy, Faculty of Medical Science, Fukuoka International University of Health and Welfare, 3-6-40 Momochihama, Sawara-Ku, Fukuoka, 814-0001, Japan
| | - Maiko Sakamoto
- Education and Research Centre for Community Medicine, Faculty of Medicine, Saga University, Saga, Japan
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Mannarelli D, Pauletti C, Missori P, Trompetto C, Cotellessa F, Fattapposta F, Currà A. Cerebellum's Contribution to Attention, Executive Functions and Timing: Psychophysiological Evidence from Event-Related Potentials. Brain Sci 2023; 13:1683. [PMID: 38137131 PMCID: PMC10741792 DOI: 10.3390/brainsci13121683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/01/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023] Open
Abstract
Since 1998, when Schmahmann first proposed the concept of the "cognitive affective syndrome" that linked cerebellar damage to cognitive and emotional impairments, a substantial body of literature has emerged. Anatomical, neurophysiological, and functional neuroimaging data suggest that the cerebellum contributes to cognitive functions through specific cerebral-cerebellar connections organized in a series of parallel loops. The aim of this paper is to review the current findings on the involvement of the cerebellum in selective cognitive functions, using a psychophysiological perspective with event-related potentials (ERPs), alone or in combination with non-invasive brain stimulation techniques. ERPs represent a very informative method of monitoring cognitive functioning online and have the potential to serve as valuable biomarkers of brain dysfunction that is undetected by other traditional clinical tools. This review will focus on the data on attention, executive functions, and time processing obtained in healthy subjects and patients with varying clinical conditions, thus confirming the role of ERPs in understanding the role of the cerebellum in cognition and exploring the potential diagnostic and therapeutic implications of ERP-based assessments in patients.
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Affiliation(s)
- Daniela Mannarelli
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell’Università 30, 00185 Rome, Italy; (D.M.); (C.P.); (P.M.); (F.F.)
| | - Caterina Pauletti
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell’Università 30, 00185 Rome, Italy; (D.M.); (C.P.); (P.M.); (F.F.)
| | - Paolo Missori
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell’Università 30, 00185 Rome, Italy; (D.M.); (C.P.); (P.M.); (F.F.)
| | - Carlo Trompetto
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16132 Genoa, Italy; (C.T.); (F.C.)
- IRCCS Ospedale Policlinico San Martino, Division of Neurorehabilitation, Department of Neuroscience, 16132 Genoa, Italy
| | - Filippo Cotellessa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16132 Genoa, Italy; (C.T.); (F.C.)
| | - Francesco Fattapposta
- Department of Human Neurosciences, Sapienza University of Rome, Viale dell’Università 30, 00185 Rome, Italy; (D.M.); (C.P.); (P.M.); (F.F.)
| | - Antonio Currà
- Academic Neurology Unit, Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 04019 Terracina, Italy
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Turker S, Kuhnke P, Jiang Z, Hartwigsen G. Disrupted network interactions serve as a neural marker of dyslexia. Commun Biol 2023; 6:1114. [PMID: 37923809 PMCID: PMC10624919 DOI: 10.1038/s42003-023-05499-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 10/24/2023] [Indexed: 11/06/2023] Open
Abstract
Dyslexia, a frequent learning disorder, is characterized by severe impairments in reading and writing and hypoactivation in reading regions in the left hemisphere. Despite decades of research, it remains unclear to date if observed behavioural deficits are caused by aberrant network interactions during reading and whether differences in functional activation and connectivity are directly related to reading performance. Here we provide a comprehensive characterization of reading-related brain connectivity in adults with and without dyslexia. We find disrupted functional coupling between hypoactive reading regions, especially between the left temporo-parietal and occipito-temporal cortices, and an extensive functional disruption of the right cerebellum in adults with dyslexia. Network analyses suggest that individuals with dyslexia process written stimuli via a dorsal decoding route and show stronger reading-related interaction with the right cerebellum. Moreover, increased connectivity within networks is linked to worse reading performance in dyslexia. Collectively, our results provide strong evidence for aberrant task-related connectivity as a neural marker for dyslexia that directly impacts behavioural performance. The observed differences in activation and connectivity suggest that one effective way to alleviate reading problems in dyslexia is through modulating interactions within the reading network with neurostimulation methods.
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Affiliation(s)
- Sabrina Turker
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany.
- Wilhelm Wundt Institute for Psychology, Leipzig University, 04103, Leipzig, Germany.
| | - Philipp Kuhnke
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
- Wilhelm Wundt Institute for Psychology, Leipzig University, 04103, Leipzig, Germany
| | - Zhizhao Jiang
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
| | - Gesa Hartwigsen
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
- Wilhelm Wundt Institute for Psychology, Leipzig University, 04103, Leipzig, Germany
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8
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Wei T, Li JD, Wang YJ, Zhao W, Duan F, Wang Y, Xia LL, Jiang ZB, Song X, Zhu YQ, Shao WY, Wang Z, Bi KS, Li H, Zhang XC, Jiao DL. p-Nrf2/HO-1 Pathway Involved in Methamphetamine-induced Executive Dysfunction through Endoplasmic Reticulum Stress and Apoptosis in the Dorsal Striatum. Neurotox Res 2023; 41:446-458. [PMID: 37199892 DOI: 10.1007/s12640-023-00650-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/25/2023] [Accepted: 05/04/2023] [Indexed: 05/19/2023]
Abstract
Methamphetamine (METH) abuse is known to cause executive dysfunction. However, the molecular mechanism underlying METH induced executive dysfunction remains unclear. Go/NoGo experiment was performed in mice to evaluate METH-induced executive dysfunction. Immunoblot analysis of Nuclear factor-E2-related factor 2 (Nrf2), phosphorylated Nrf2 (p-Nrf2), heme-oxygenase-1 (HO-1), Glucose Regulated Protein 78(GRP78), C/EBP homologous protein (CHOP), Bcl-2, Bax and Caspase3 was performed to evaluate the levels of oxidative stress, endoplasmic reticulum (ER) stress and apoptosis in the dorsal striatum (Dstr). Malondialdehyde (MDA) levels and glutathione peroxidase (GSH-Px) activity was conducted to evaluate the level of oxidative stress. TUNEL staining was conducted to detect apoptotic neurons. The animal Go/NoGo testing confirmed that METH abuse impaired the inhibitory control ability of executive function. Meanwhile, METH down-regulated the expression of p-Nrf2, HO-1 and GSH-Px and activated ER stress and apoptosis in the Dstr. Microinjection of Tert-butylhydroxyquinone (TBHQ), an Nrf2 agonist, into the Dstr increased the expression of p-Nrf2, HO-1, and GSH-Px, ameliorated ER stress, apoptosis and executive dysfunction caused by METH. Our results indicated that the p-Nrf2/HO-1 pathway was potentially involved in mediating methamphetamine-induced executive dysfunction by inducing endoplasmic reticulum stress and apoptosis in the dorsal striatum.
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Affiliation(s)
- Tao Wei
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
- Huainan First People's Hospital, Huainan, 232007, Anhui, China
| | - Jun-Da Li
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Yu-Jing Wang
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Wei Zhao
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Fan Duan
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Yan Wang
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Ling-Ling Xia
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Zhao-Bin Jiang
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Xun Song
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Yu-Qiong Zhu
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Wen-Yi Shao
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Ze Wang
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Kang-Sheng Bi
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Hui Li
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Xiao-Chu Zhang
- CAS Key Laboratory of Brain Function and Disease and School of Life Sciences, University of Science and Technology of China, Hefei, 230027, Anhui, China.
| | - Dong-Liang Jiao
- School of Mental Health, Bengbu Medical College, Bengbu, 233030, Anhui, China.
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D’Aiello B, Lazzaro G, Battisti A, Pani P, Di Vara S, De Rossi P, Pretelli I, Costanzo F, Vicari S, Menghini D. Methylphenidate is more effective to improve inhibitory control and working memory compared to tDCS in children and adolescents with attention deficit/hyperactivity disorder: a proof-of-concept study. Front Neurosci 2023; 17:1170090. [PMID: 37483344 PMCID: PMC10360130 DOI: 10.3389/fnins.2023.1170090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 06/22/2023] [Indexed: 07/25/2023] Open
Abstract
Introduction Attention-deficit/hyperactivity disorder (ADHD) is characterized by an inappropriate, pervasive and persistent pattern of inattention, hyperactivity, and/or impulsivity and associated with substantial functional impairment. Despite considerable advances in the understanding and management of ADHD, some patients do not respond well to methylphenidate (MPH), the first-choice pharmacological treatment. Over the past decades, among non-invasive brain stimulation techniques, transcranial direct current stimulation (tDCS) has proven to be an effective and safe technique to improve behavior and cognition in children with neurodevelopmental disorders, including ADHD, by modifying cortical excitability. However, the effect of tDCS has never been directly compared with that of the MPH. The present randomized sham-controlled trial evaluated the effect of a single session of anodal tDCS compared with the administration of a single dose of MPH in children and adolescents with ADHD. Methods After completing baseline assessment (T0), 26 children and adolescents with ADHD were exposed to 3 conditions with a 24-h interval-sessions: (A) a single session of anodal tDCS over the left dorsolateral prefrontal cortex (DLPFC); (B) a single session of sham tDCS over the left DLPFC; (C) a single dose of MPH. Results Our results showed that after administering a single dose of MPH, children and adolescents with ADHD improved inhibitory control and visual-spatial WM compared with baseline, anodal, and sham tDCS. However, a single session of active tDCS over the left DLPFC was not effective compared with either baseline or sham tDCS. Discussion In conclusion, our protocol in ADHD involving a single tDCS session did not demonstrate consistent improvements in neurocognitive features compared with baseline, sham tDCS, or single MPH administration. Different protocols need to be developed to further test the effectiveness of tDCS in improving ADHD symptoms.
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Affiliation(s)
- Barbara D’Aiello
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
- Department of Human Science, LUMSA University, Rome, Italy
| | - Giulia Lazzaro
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Andrea Battisti
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
- Department of Human Science, LUMSA University, Rome, Italy
| | - Pierpaolo Pani
- Department of Physiology and Pharmacology, Sapienza University, Rome, Italy
| | - Silvia Di Vara
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Pietro De Rossi
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Italo Pretelli
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Floriana Costanzo
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Stefano Vicari
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
- Department of Life Science and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Deny Menghini
- Child and Adolescent Neuropsychiatry Unit, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
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Zhang S, Cai H, Wang C, Zhu J, Yu Y. Sex-dependent gut microbiota-brain-cognition associations: a multimodal MRI study. BMC Neurol 2023; 23:169. [PMID: 37106317 PMCID: PMC10134644 DOI: 10.1186/s12883-023-03217-3] [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: 11/10/2022] [Accepted: 04/18/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND There is bidirectional communication between the gut microbiota and the brain. Empirical evidence has demonstrated sex differences in both the gut microbiome and the brain. However, the effects of sex on the gut microbiota-brain associations have yet to be determined. We aim to elucidate the sex-specific effects of gut microbiota on brain and cognition. METHODS One hundred fifty-seven healthy young adults underwent brain structural, perfusion, functional and diffusion MRIs to measure gray matter volume (GMV), cerebral blood flow (CBF), functional connectivity strength (FCS) and white matter integrity, respectively. Fecal samples were collected and 16S amplicon sequencing was utilized to assess gut microbial diversity. Correlation analyses were conducted to test for sex-dependent associations between microbial diversity and brain imaging parameters, and mediation analysis was performed to further characterize the gut microbiota-brain-cognition relationship. RESULTS We found that higher gut microbial diversity was associated with higher GMV in the right cerebellum VI, higher CBF in the bilateral calcarine sulcus yet lower CBF in the left superior frontal gyrus, higher FCS in the bilateral paracentral lobule, and lower diffusivity in widespread white matter regions in males. However, these associations were absent in females. Of more importance, these neuroimaging biomarkers significantly mediated the association between gut microbial diversity and behavioral inhibition in males. CONCLUSIONS These findings highlight sex as a potential influential factor underlying the gut microbiota-brain-cognition relationship, and expose the gut microbiota as a biomarker-driven and sex-sensitive intervention target for mental disorders with abnormal behavioral inhibition.
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Affiliation(s)
- Shujun Zhang
- Department of Radiology, Affiliated Hospital of Jining Medical University, Jining, 272007, China
| | - Huanhuan Cai
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, Hefei, 230022, China
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China
| | - Chunli Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, Hefei, 230022, China.
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China.
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China.
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Shushan District, Hefei, 230022, China.
- Research Center of Clinical Medical Imaging, Anhui Province, Hefei, 230032, China.
- Anhui Provincial Institute of Translational Medicine, Hefei, 230032, China.
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11
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Yuan D, Hahn S, Allgaier N, Owens MM, Chaarani B, Potter A, Garavan H. Machine learning approaches linking brain function to behavior in the ABCD STOP task. Hum Brain Mapp 2023; 44:1751-1766. [PMID: 36534603 PMCID: PMC9921227 DOI: 10.1002/hbm.26172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 10/13/2022] [Accepted: 11/14/2022] [Indexed: 12/24/2022] Open
Abstract
The stop-signal task (SST) is one of the most common fMRI tasks of response inhibition, and its performance measure, the stop-signal reaction-time (SSRT), is broadly used as a measure of cognitive control processes. The neurobiology underlying individual or clinical differences in response inhibition remain unclear, consistent with the general pattern of quite modest brain-behavior associations that have been recently reported in well-powered large-sample studies. Here, we investigated the potential of multivariate, machine learning (ML) methods to improve the estimation of individual differences in SSRT with multimodal structural and functional region of interest-level neuroimaging data from 9- to 11-year-olds children in the ABCD Study. Six ML algorithms were assessed across modalities and fMRI tasks. We verified that SST activation performed best in predicting SSRT among multiple modalities including morphological MRI (cortical surface area/thickness), diffusion tensor imaging, and fMRI task activations, and then showed that SST activation explained 12% of the variance in SSRT using cross-validation and out-of-sample lockbox data sets (n = 7298). Brain regions that were more active during the task and that showed more interindividual variation in activation were better at capturing individual differences in performance on the task, but this was only true for activations when successfully inhibiting. Cortical regions outperformed subcortical areas in explaining individual differences but the two hemispheres performed equally well. These results demonstrate that the detection of reproducible links between brain function and performance can be improved with multivariate approaches and give insight into a number of brain systems contributing to individual differences in this fundamental cognitive control process.
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Affiliation(s)
- Dekang Yuan
- Department of PsychiatryUniversity of VermontBurlingtonVermontUSA
| | - Sage Hahn
- Department of PsychiatryUniversity of VermontBurlingtonVermontUSA
| | | | - Max M. Owens
- Department of PsychiatryUniversity of VermontBurlingtonVermontUSA
| | - Bader Chaarani
- Department of PsychiatryUniversity of VermontBurlingtonVermontUSA
| | - Alexandra Potter
- Department of PsychiatryUniversity of VermontBurlingtonVermontUSA
| | - Hugh Garavan
- Department of PsychiatryUniversity of VermontBurlingtonVermontUSA
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12
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Díaz-Rivera MN, Birba A, Fittipaldi S, Mola D, Morera Y, de Vega M, Moguilner S, Lillo P, Slachevsky A, González Campo C, Ibáñez A, García AM. Multidimensional inhibitory signatures of sentential negation in behavioral variant frontotemporal dementia. Cereb Cortex 2022; 33:403-420. [PMID: 35253864 PMCID: PMC9837611 DOI: 10.1093/cercor/bhac074] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 01/31/2022] [Accepted: 02/07/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Processing of linguistic negation has been associated to inhibitory brain mechanisms. However, no study has tapped this link via multimodal measures in patients with core inhibitory alterations, a critical approach to reveal direct neural correlates and potential disease markers. METHODS Here we examined oscillatory, neuroanatomical, and functional connectivity signatures of a recently reported Go/No-go negation task in healthy controls and behavioral variant frontotemporal dementia (bvFTD) patients, typified by primary and generalized inhibitory disruptions. To test for specificity, we also recruited persons with Alzheimer's disease (AD), a disease involving frequent but nonprimary inhibitory deficits. RESULTS In controls, negative sentences in the No-go condition distinctly involved frontocentral delta (2-3 Hz) suppression, a canonical inhibitory marker. In bvFTD patients, this modulation was selectively abolished and significantly correlated with the volume and functional connectivity of regions supporting inhibition (e.g. precentral gyrus, caudate nucleus, and cerebellum). Such canonical delta suppression was preserved in the AD group and associated with widespread anatomo-functional patterns across non-inhibitory regions. DISCUSSION These findings suggest that negation hinges on the integrity and interaction of spatiotemporal inhibitory mechanisms. Moreover, our results reveal potential neurocognitive markers of bvFTD, opening a new agenda at the crossing of cognitive neuroscience and behavioral neurology.
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Affiliation(s)
- Mariano N Díaz-Rivera
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, Vito Dumas 284, Buenos Aires B1644BID, Argentina.,Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT), C1425FQD, Godoy Cruz 2370, Buenos Aires, Argentina
| | - Agustina Birba
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, Vito Dumas 284, Buenos Aires B1644BID, Argentina.,National Scientific and Technical Research Council (CONICET), C1425FQD, Godoy Cruz 2290, Buenos Aires, Argentina
| | - Sol Fittipaldi
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, Vito Dumas 284, Buenos Aires B1644BID, Argentina.,National Scientific and Technical Research Council (CONICET), C1425FQD, Godoy Cruz 2290, Buenos Aires, Argentina
| | - Débora Mola
- Instituto de Investigaciones Psicológicas, CONICET, 5000, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Yurena Morera
- Instituto Universitario de Neurociencia (IUNE), Universidad de La Laguna, Campus de Guajara, 38205 La Laguna, Santa Cruz de Tenerife, Spain
| | - Manuel de Vega
- Instituto Universitario de Neurociencia (IUNE), Universidad de La Laguna, Campus de Guajara, 38205 La Laguna, Santa Cruz de Tenerife, Spain
| | - Sebastian Moguilner
- Global Brain Health Institute, University of California, San Francisco, CA94158, US; and Trinity College, Dublin D02DP21, , Ireland.,Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, 8320000, Santiago, Chile
| | - Patricia Lillo
- Departamento de Neurología Sur, Facultad de Medicina, Universidad de Chile, 8380000, Santiago, Chile.,Unidad de Neurología, Hospital San José, 8380000, Santiago, Chile.,Geroscience Center for Brain Health and Metabolism (GERO), 7800003, Santiago, Chile
| | - Andrea Slachevsky
- Geroscience Center for Brain Health and Metabolism (GERO), 7800003, Santiago, Chile.,Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department, Neuroscience and East Neuroscience Departments, Faculty of Medicine, Institute of Biomedical Sciences (ICBM), University of Chile, 8380000, Santiago, Chile.,Memory and Neuropsychiatric Clinic (CMYN) Neurology Department, Hospital del Salvador and Faculty of Medicine, University of Chile, 7500000, Santiago, Chile.,Departamento de Medicina, Servicio de Neurología, Clínica Alemana-Universidad del Desarrollo, 7550000, Santiago, Chile
| | - Cecilia González Campo
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, Vito Dumas 284, Buenos Aires B1644BID, Argentina.,National Scientific and Technical Research Council (CONICET), C1425FQD, Godoy Cruz 2290, Buenos Aires, Argentina
| | - Agustín Ibáñez
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, Vito Dumas 284, Buenos Aires B1644BID, Argentina.,National Scientific and Technical Research Council (CONICET), C1425FQD, Godoy Cruz 2290, Buenos Aires, Argentina.,Global Brain Health Institute, University of California, San Francisco, CA94158, US; and Trinity College, Dublin D02DP21, , Ireland.,Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, 8320000, Santiago, Chile
| | - Adolfo M García
- Centro de Neurociencias Cognitivas, Universidad de San Andrés, Vito Dumas 284, Buenos Aires B1644BID, Argentina.,National Scientific and Technical Research Council (CONICET), C1425FQD, Godoy Cruz 2290, Buenos Aires, Argentina.,Global Brain Health Institute, University of California, San Francisco, CA94158, US; and Trinity College, Dublin D02DP21, , Ireland.,Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, 7550000, Santiago, Chile
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13
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Wang C, Cao X, Gao Z, Liu Y, Wen Z. Training and Transfer Effects of Combining Inhibitory Control Training With Transcutaneous Vagus Nerve Stimulation in Healthy Adults. Front Psychol 2022; 13:858938. [PMID: 35519660 PMCID: PMC9062127 DOI: 10.3389/fpsyg.2022.858938] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 03/29/2022] [Indexed: 11/18/2022] Open
Abstract
Inhibitory control training (ICT) is a promising method to improve individual performance of inhibitory control (IC). Recent studies have suggested transcutaneous vagus nerve stimulation (tVNS) as a novel approach to affect cognitive function owing to its ability to modulate the locus coeruleus-noradrenaline system. To examine the synergistic effects of combining ICT with tVNS, 58 young males in college were randomly assigned to four groups: ICT + tVNS, ICT + sham tVNS, sham ICT + tVNS, and sham ICT + sham tVNS. Participants were instructed to complete three sessions that comprised pre-training tests, a training session, and post-training tests sequentially. Results showed that the ICT + tVNS group significantly improved training and near-transfer effects on the stop-signal and Go/No-go tasks, and these effects were larger than those of the other groups. However, none of the groups exhibited the far-transfer effect on the color-word Stroop task. These results suggest that tVNS augments the intervention effects of training and similar inhibition tasks to achieve the synergistic effect; however, it does not modulate the effects of non-training tasks and obtain the far-transfer effect. ICT combined with tVNS may be a valuable intervention for improving IC in healthy individuals in certain industries and offers novel research ideas for using tVNS for cognitive improvement.
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Affiliation(s)
- Chunchen Wang
- Department of Aerospace Medicine, Fourth Military Medical University, Xi'an, China
| | - Xinsheng Cao
- Department of Aerospace Medicine, Fourth Military Medical University, Xi'an, China
| | - Zhijun Gao
- Department of Aerospace Medicine, Fourth Military Medical University, Xi'an, China
| | - Yang Liu
- Department of Aerospace Medicine, Fourth Military Medical University, Xi'an, China
| | - Zhihong Wen
- Department of Aerospace Medicine, Fourth Military Medical University, Xi'an, China
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14
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Baroni A, Magro G, Martinuzzi C, Brondi L, Masiero S, Milani G, Zani G, Bergonzoni A, Basaglia N, Straudi S. Combined effects of cerebellar tDCS and task-oriented circuit training in people with multiple sclerosis: A pilot randomized control trial. Restor Neurol Neurosci 2022; 40:85-95. [DOI: 10.3233/rnn-211245] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Background: Balance and mobility impairments are frequent in people with multiple sclerosis, partly due to cerebellar dysfunctions. Task-oriented behavioural approaches were previously shown to promote physical function. The possibility exists that cerebellar transcranial direct current stimulation (ctDCS) applied during training, known to increase the excitability of the brain, can boost rehabilitation effects through modulation of cerebellum-brain inhibition. Objective: To test the efficacy of cerebellar ctDCS stimulation combined with motor training on mobility and balance in people with multiple sclerosis. Methods: 16 subjects were randomly assigned to receive real- or sham-ctDCS and task-oriented training daily over two weeks in a double-blind, randomised clinical pilot trial. Functional mobility, balance, walking performance and quality of life were tested before and after treatment and at two-week follow-up. Effects of cerebellar stimulation on psychological and executive functions were also recorded. Results: Walking performance, balance and quality of life improved for both groups at post-treatment assessment which was maintained at 2-weeks follow up. A two-way ANOVA revealed a significant time effect for balance and walking performance. A significant interaction effect of time–treatment (F = 3.12, df = 2,26; p = 0.03) was found for motor aspects of quality of life assessment in patients who received real-ctDCS. Conclusions: Task-oriented training improves balance and mobility in people with multiple sclerosis, but ctDCS does not boost motor training effects.
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Affiliation(s)
- Andrea Baroni
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Giacomo Magro
- Physical Medicine and Rehabilitation School, Department of Neuroscience, University of Padova, Padova, Italy
| | - Carlotta Martinuzzi
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Laura Brondi
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Stefano Masiero
- Rehabilitation Unit, Department of Neuroscience, University of Padova, Padova, Italy
| | - Giada Milani
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
- Ferrara University, Doctoral Program in Translational Neurosciences and Neurotechnologies, Ferrara, Italy
| | - Giulia Zani
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Antonella Bergonzoni
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | - Nino Basaglia
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
| | - Sofia Straudi
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
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15
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Walia P, Ghosh A, Singh S, Dutta A. Portable Neuroimaging-Guided Noninvasive Brain Stimulation of the Cortico-Cerebello-Thalamo-Cortical Loop—Hypothesis and Theory in Cannabis Use Disorder. Brain Sci 2022; 12:brainsci12040445. [PMID: 35447977 PMCID: PMC9027826 DOI: 10.3390/brainsci12040445] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 03/06/2022] [Accepted: 03/22/2022] [Indexed: 12/22/2022] Open
Abstract
Background: Maladaptive neuroplasticity-related learned response in substance use disorder (SUD) can be ameliorated using noninvasive brain stimulation (NIBS); however, inter-individual variability needs to be addressed for clinical translation. Objective: Our first objective was to develop a hypothesis for NIBS for learned response in SUD based on a competing neurobehavioral decision systems model. The next objective was to develop the theory by conducting a computational simulation of NIBS of the cortico-cerebello-thalamo-cortical (CCTC) loop in cannabis use disorder (CUD)-related dysfunctional “cue-reactivity”—a construct closely related to “craving”—that is a core symptom. Our third objective was to test the feasibility of a neuroimaging-guided rational NIBS approach in healthy humans. Methods: “Cue-reactivity” can be measured using behavioral paradigms and portable neuroimaging, including functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) metrics of sensorimotor gating. Therefore, we conducted a computational simulation of NIBS, including transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) of the cerebellar cortex and deep cerebellar nuclei (DCN) of the CCTC loop for its postulated effects on fNIRS and EEG metrics. We also developed a rational neuroimaging-guided NIBS approach for the cerebellar lobule (VII) and prefrontal cortex based on a healthy human study. Results: Simulation of cerebellar tDCS induced gamma oscillations in the cerebral cortex, while transcranial temporal interference stimulation induced a gamma-to-beta frequency shift. A preliminary healthy human study (N = 10) found that 2 mA cerebellar tDCS evoked similar oxyhemoglobin (HbO) response in the range of 5 × 10−6 M across the cerebellum and PFC brain regions (α = 0.01); however, infra-slow (0.01–0.10 Hz) prefrontal cortex HbO-driven phase–amplitude-coupled (PAC; 4 Hz, ±2 mA (max)) cerebellar tACS evoked HbO levels in the range of 10−7 M that were statistically different (α = 0.01) across these brain regions. Conclusion: Our healthy human study showed the feasibility of fNIRS of cerebellum and PFC and closed-loop fNIRS-driven ctACS at 4 Hz, which may facilitate cerebellar cognitive function via the frontoparietal network. Future work needs to combine fNIRS with EEG for multi-modal imaging for closed-loop NIBS during operant conditioning.
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Affiliation(s)
- Pushpinder Walia
- Neuroengineering and Informatics for Rehabilitation Laboratory, University at Buffalo, Buffalo, NY 14228, USA;
| | - Abhishek Ghosh
- Postgraduate Institute of Medical Education & Research, Chandigarh 700020, India; (A.G.); (S.S.)
| | - Shubhmohan Singh
- Postgraduate Institute of Medical Education & Research, Chandigarh 700020, India; (A.G.); (S.S.)
| | - Anirban Dutta
- Neuroengineering and Informatics for Rehabilitation Laboratory, University at Buffalo, Buffalo, NY 14228, USA;
- Correspondence:
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16
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Jayasinghe SAL, Scheidt RA, Sainburg RL. Neural Control of Stopping and Stabilizing the Arm. Front Integr Neurosci 2022; 16:835852. [PMID: 35264934 PMCID: PMC8899537 DOI: 10.3389/fnint.2022.835852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 01/17/2022] [Indexed: 11/27/2022] Open
Abstract
Stopping is a crucial yet under-studied action for planning and producing meaningful and efficient movements. In this review, we discuss classical human psychophysics studies as well as those using engineered systems that aim to develop models of motor control of the upper limb. We present evidence for a hybrid model of motor control, which has an evolutionary advantage due to division of labor between cerebral hemispheres. Stopping is a fundamental aspect of movement that deserves more attention in research than it currently receives. Such research may provide a basis for understanding arm stabilization deficits that can occur following central nervous system (CNS) damage.
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Affiliation(s)
- Shanie A. L. Jayasinghe
- Department of Neurology, Pennsylvania State University College of Medicine, Hershey, PA, United States
| | - Robert A. Scheidt
- Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, WI, United States
| | - Robert L. Sainburg
- Department of Neurology, Pennsylvania State University College of Medicine, Hershey, PA, United States
- Department of Kinesiology, Pennsylvania State University, State College, PA, United States
- Huck Institutes of the Life Sciences, Pennsylvania State University, State College, PA, United States
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17
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Rice LC, D'Mello AM, Stoodley CJ. Differential Behavioral and Neural Effects of Regional Cerebellar tDCS. Neuroscience 2021; 462:288-302. [PMID: 33731315 DOI: 10.1016/j.neuroscience.2021.03.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/03/2021] [Accepted: 03/04/2021] [Indexed: 02/07/2023]
Abstract
The human cerebellum contributes to both motor and non-motor processes. Within the cerebellum, different subregions support sensorimotor and broader cognitive functions, due to regional patterns in anatomical connectivity with the cerebral cortex and spinal and vestibular systems. We evaluated the effects of transcranial direct current stimulation (tDCS) targeting different cerebellar regions on language task performance and whole-brain functional activation patterns. Functional MRI data were acquired while 43 healthy young adults (15 males, 28 females; 23.3 ± 3.0 years) performed a sentence completion task before and after 20 min of 1.5 mA anodal tDCS. Participants received tDCS targeting either the anterior sensorimotor cerebellum (n = 11; 3 cm right of inion, over lobule V); the right posterolateral cerebellum (n = 18; 1 cm down and 4 cm right of inion, over lobule VII); or sham tDCS (n = 14). TDCS targeting the right posterolateral cerebellum improved task accuracy relative to the sham condition (p = 0.04) and increased activation in left frontal and temporal cortices relevant to task performance (post-tDCS > pre-tDCS; T 3.17, FDR p < 0.05 cluster correction). The regions of increased BOLD signal after right posterolateral cerebellar tDCS fell within the network showing functional connectivity with right cerebellar lobule VII, suggesting specific modulation of this network. In contrast, tDCS targeting the sensorimotor cerebellum did not impact task performance and increased BOLD signal only in one cluster extending into the precentral gyrus. These findings indicate that sensorimotor and cognitive functional cerebellar subregions differentially impact behavioral task performance and task-relevant activation patterns, further contributing to our understanding of the cerebellar modulation of motor and non-motor functions.
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Affiliation(s)
- Laura C Rice
- Department of Neuroscience and Center for Neuroscience and Behavior, American University, 4400 Massachusetts Ave NW, Washington, DC 20016, USA.
| | - Anila M D'Mello
- Department of Neuroscience and Center for Neuroscience and Behavior, American University, 4400 Massachusetts Ave NW, Washington, DC 20016, USA.
| | - Catherine J Stoodley
- Department of Neuroscience and Center for Neuroscience and Behavior, American University, 4400 Massachusetts Ave NW, Washington, DC 20016, USA.
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18
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Lei Y, Chen X, Su JB, Zhang X, Yang H, Gao XJ, Ni W, Chen L, Yu JH, Gu YX, Mao Y. Recognition of Cognitive Impairment in Adult Moyamoya Disease: A Classifier Based on High-Order Resting-State Functional Connectivity Network. Front Neural Circuits 2021; 14:603208. [PMID: 33408614 PMCID: PMC7779761 DOI: 10.3389/fncir.2020.603208] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Accepted: 12/03/2020] [Indexed: 11/13/2022] Open
Abstract
Objective: Vascular cognitive impairment (VCI) is a common complication in adult patients with moyamoya disease (MMD), and is reversible by surgical revascularization in its early stage of mild VCI. However, accurate diagnosis of mild VCI is difficult based on neuropsychological examination alone. This study proposed a method of dynamic resting-state functional connectivity (FC) network to recognize global cognitive impairment in MMD. Methods: For MMD, 36 patients with VCI and 43 patients with intact cognition (Non-VCI) were included, as well as 26 normal controls (NCs). Using resting-state fMRI, dynamic low-order FC networks were first constructed with multiple brain regions which were generated through a sliding window approach and correlated in temporal dimension. In order to obtain more information of network interactions along the time, high-order FC networks were established by calculating correlations among each pair of brain regions. Afterwards, a sparse representation-based classifier was constructed to recognize MMD (experiment 1) and its cognitive impairment (experiment 2) with features extracted from both low- and high-order FC networks. Finally, the ten-fold cross-validation strategy was proposed to train and validate the performance of the classifier. Results: The three groups did not differ significantly in demographic features (p > 0.05), while the VCI group exhibited the lowest MMSE scores (p = 0.001). The Non-VCI and NCs groups did not differ significantly in MMSE scores (p = 0.054). As for the classification between MMD and NCs, the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity of the classifier reached 90.70, 88.57, 93.67, and 73.08%, respectively. While for the classification between VCI and Non-VCI, the AUC, accuracy, sensitivity, and specificity of the classifier reached 91.02, 84.81, 80.56, and 88.37%, respectively. Conclusion: This study not only develops a promising classifier to recognize VCI in adult MMD in its early stage, but also implies the significance of time-varying properties in dynamic FC networks.
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Affiliation(s)
- Yu Lei
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Xi Chen
- Department of Electronic Engineering, Fudan University, Shanghai, China
| | - Jia-Bin Su
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Xin Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Heng Yang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Xin-Jie Gao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Wei Ni
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Liang Chen
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Jin-Hua Yu
- Department of Electronic Engineering, Fudan University, Shanghai, China
| | - Yu-Xiang Gu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
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