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Mezzarobba S, Bonassi G, Avanzino L, Pelosin E. Action Observation and Motor Imagery as a Treatment in Patients with Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2024; 14:S53-S64. [PMID: 38250785 PMCID: PMC11380291 DOI: 10.3233/jpd-230219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Action observation (AO) and motor imagery (MI) has emerged as promising tool for physiotherapy intervention in Parkinson's disease (PD). This narrative review summarizes why, how, and when applying AO and MI training in individual with PD. We report the neural underpinning of AO and MI and their effects on motor learning. We examine the characteristics and the current evidence regarding the effectiveness of physiotherapy interventions and we provide suggestions about their implementation with technologies. Neurophysiological data suggest a substantial correct activation of brain networks underlying AO and MI in people with PD, although the occurrence of compensatory mechanisms has been documented. Regarding the efficacy of training, in general evidence indicates that both these techniques improve mobility and functional activities in PD. However, these findings should be interpreted with caution due to variety of the study designs, training characteristics, and the modalities in which AO and MI were applied. Finally, results on long-term effects are still uncertain. Several elements should be considered to optimize the use of AO and MI in clinical setting, such as the selection of the task, the imagery or the video perspectives, the modalities of training. However, a comprehensive individual assessment, including motor and cognitive abilities, is essential to select which between AO and MI suite the best to each PD patients. Much unrealized potential exists for the use AO and MI training to provide personalized intervention aimed at fostering motor learning in both the clinic and home setting.
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Affiliation(s)
- Susanna Mezzarobba
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, and "RAISE Ecosystem", Genova, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Gaia Bonassi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, and "RAISE Ecosystem", Genova, Italy
| | - Laura Avanzino
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Experimental Medicine, Section of Human Physiology, University of Genoa, Genoa, Italy
| | - Elisa Pelosin
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, and "RAISE Ecosystem", Genova, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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Sakai K, Kawasaki T, Kiminarita H, Ikeda Y. Longitudinal Changes in Motor Estimation Error and Motor Function in Patients with Parkinson's Disease: A Case Report. MEDICINES (BASEL, SWITZERLAND) 2023; 10:42. [PMID: 37505063 PMCID: PMC10385803 DOI: 10.3390/medicines10070042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND AND OBJECTIVES This report described two cases with clear longitudinal changes in motor estimation error (difference between the motor imagery and motor execution) and their progression and motor and activities of daily living (ADL) function changes in patients with PD. MATERIALS AND METHODS Patient 1 was a 68-year-old man (Hoehn and Yahr [H and Y] stage: IV, diagnosed with PD for 11.8 years) and patient 2 was a 68-year-old woman (H and Y stage: II, diagnosed with PD for 9.6 years). Imagined two-step test (iTST), two-step test (TST), and PD-related assessments (Unified Parkinson's Disease Rating Scale [UPDRS], and Freezing of Gait Questionnaire [FOGQ]) were assessed at baseline and after 6 months. Motor estimation error was calculated as the iTST distance minus TST distance. RESULTS In patient 1, motor estimation error was greater after 6 months (baseline: 5.7 [4.8%]/after 6 months: 25.7 cm [26.1%]). Moreover, UPDRS and FOGQ total scores deteriorated after 6 months (UPDRS total: 29/34 point, and FOGQ: 9/16 point). Conversely, in patient 2, motor estimation error did not change notably (-3.6 [7.6%]/-2.5 cm [7.0%]), while UPDRS and FOGQ total scores improved after 6 months (UPDRS total: 17/12 point, and FOGQ: 6/1 point). CONCLUSIONS This report indicated that greater motor estimation error may be associated with declining motor and ADL function and disease progression in patients with PD.
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Affiliation(s)
- Katsuya Sakai
- Department of Physical Therapy, Faculty of Health Sciences, Tokyo Metropolitan University, Tokyo 116-8551, Japan
| | - Tsubasa Kawasaki
- Department of Physical Therapy, School of Health Sciences, Tokyo International University, Kawagoe 350-1197, Japan
| | - Hiroya Kiminarita
- Department of Rehabilitation, Kirameki Visiting Nursing Rehabilistation, Kawagoe 350-0033, Japan
| | - Yumi Ikeda
- Department of Physical Therapy, Faculty of Health Sciences, Tokyo Metropolitan University, Tokyo 116-8551, Japan
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Mo Y, Mao C, Yang D, Ke Z, Huang L, Yang Z, Qin R, Huang Y, Lv W, Hu Z, Xu Y. Altered neuroimaging patterns of cerebellum and cognition underlying the gait and balance dysfunction in cerebral small vessel disease. Front Aging Neurosci 2023; 15:1117973. [PMID: 36967823 PMCID: PMC10032207 DOI: 10.3389/fnagi.2023.1117973] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/13/2023] [Indexed: 03/05/2023] Open
Abstract
BackgroundThe mechanism of gait and balance dysfunction (GBD) in cerebral small vessel disease (CSVD) remains unclear. Evidence supports cognition engages in GBD of CSVD. The cerebellum is important in motor and cognition, while little is known about the influence of the cerebellum on GBD in CSVD.MethodsThis study is a retrospective cohort study. All participants of this study were enrolled from the CSVD individuals in Nanjing Drum Tower Hospital from 2017 to 2021. The GBD of CSVD patients was defined as Tinetti Test score ≤ 23. Cerebral cortical thickness, cerebellar gray matter volume, the amplitude of low-frequency fluctuation, functional connectivity, and modular interaction were calculated to determine the cortical atrophy and activity patterns of CSVD patients with GBD. The effect of cognitive domains during GBD in CSVD patients was explored by correlation analyses.ResultsA total of 25 CSVD patients were recruited in CSVD patients with GBD group (Tinetti Test score ≤ 23, mean age ± standard deviation: 70.000 ± 6.976 years), and 34 CSVD patients were recruited in CSVD patients without GBD group (Tinetti Test score > 23, mean age ± standard deviation: 64.029 ± 9.453 years). CSVD patients with GBD displayed worse cognitive performance and cortical atrophy in the right cerebellum VIIIa and bilateral superior temporal gyrus than those without GBD. The right postcentral gyrus, left inferior temporal gyrus, right angular gyrus, right supramarginal gyrus and right middle frontal gyrus were functionally overactivated and showed decreased modular interaction with the right cerebellum. Tinetti Test scores were negatively related to the volume of the right cerebellum VIIIa in CSVD patients with GBD. Notably, memory, especially visuospatial memory, was greatly associated with GBD in CSVD.ConclusionThe cortical atrophy and altered functional activity in sensorimotor area and ventral attention network in the cerebellum and cerebrum may underlying the GBD in CSVD. Memory might be critically cognitively responsible for GBD in CSVD.
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Affiliation(s)
- Yuting Mo
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Chenglu Mao
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Dan Yang
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Zhihong Ke
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Lili Huang
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Zhiyuan Yang
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Ruomeng Qin
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Yanan Huang
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Weiping Lv
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Zheqi Hu
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing Drum Tower Hospital, Nanjing, China
- *Correspondence: Yun Xu,
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Harrington DL, Shen Q, Wei X, Litvan I, Huang M, Lee RR. Functional topologies of spatial cognition predict cognitive and motor progression in Parkinson’s. Front Aging Neurosci 2022; 14:987225. [PMID: 36299614 PMCID: PMC9589098 DOI: 10.3389/fnagi.2022.987225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 09/12/2022] [Indexed: 11/23/2022] Open
Abstract
Background Spatial cognition deteriorates in Parkinson’s disease (PD), but the neural substrates are not understood, despite the risk for future dementia. It is also unclear whether deteriorating spatial cognition relates to changes in other cognitive domains or contributes to motor dysfunction. Objective This study aimed to identify functional connectivity abnormalities in cognitively normal PD (PDCN) in regions that support spatial cognition to determine their relationship to interfacing cognitive functions and motor disability, and to determine if they predict cognitive and motor progression 2 years later in a PDCN subsample. Methods Sixty-three PDCN and 43 controls underwent functional MRI while judging whether pictures, rotated at various angles, depicted the left or right hand. The task activates systems that respond to increases in rotation angle, a proxy for visuospatial difficulty. Angle-modulated functional connectivity was analyzed for frontal cortex, posterior cortex, and basal ganglia regions. Results Two aberrant connectivity patterns were found in PDCN, which were condensed into principal components that characterized the strength and topology of angle-modulated connectivity. One topology related to a marked failure to amplify frontal, posterior, and basal ganglia connectivity with other brain areas as visuospatial demands increased, unlike the control group (control features). Another topology related to functional reorganization whereby regional connectivity was strengthened with brain areas not recruited by the control group (PDCN features). Functional topologies correlated with diverse cognitive domains at baseline, underscoring their influences on spatial cognition. In PDCN, expression of topologies that were control features predicted greater cognitive progression longitudinally, suggesting inefficient communications within circuitry normally recruited to handle spatial demands. Conversely, stronger expression of topologies that were PDCN features predicted less longitudinal cognitive decline, suggesting functional reorganization was compensatory. Parieto-occipital topologies (control features) had different prognostic implications for longitudinal changes in motor disability. Expression of one topology predicted less motor decline, whereas expression of another predicted increased postural instability and gait disturbance (PIGD) feature severity. Concurrently, greater longitudinal decline in spatial cognition predicted greater motor and PIGD feature progression, suggesting deterioration in shared substrates. Conclusion These novel discoveries elucidate functional mechanisms of visuospatial cognition in PDCN, which foreshadow future cognitive and motor disability.
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Affiliation(s)
- Deborah L. Harrington
- Research Service, VA San Diego Healthcare System, San Diego, CA, United States
- Department of Radiology, University of California, San Diego, La Jolla, CA, United States
- *Correspondence: Deborah L. Harrington,
| | - Qian Shen
- Research Service, VA San Diego Healthcare System, San Diego, CA, United States
- Department of Radiology, University of California, San Diego, La Jolla, CA, United States
| | - Xiangyu Wei
- Research Service, VA San Diego Healthcare System, San Diego, CA, United States
- Revelle College, University of California, San Diego, La Jolla, CA, United States
| | - Irene Litvan
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
| | - Mingxiong Huang
- Department of Radiology, University of California, San Diego, La Jolla, CA, United States
- Radiology Service, VA San Diego Healthcare System, San Diego, CA, United States
| | - Roland R. Lee
- Department of Radiology, University of California, San Diego, La Jolla, CA, United States
- Radiology Service, VA San Diego Healthcare System, San Diego, CA, United States
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Gan L, Yan R, Su D, Liu Z, Miao G, Wang Z, Wang X, Ma H, Bai Y, Zhou J, Feng T. Alterations of structure and functional connectivity of visual brain network in patients with freezing of gait in Parkinson’s disease. Front Aging Neurosci 2022; 14:978976. [PMID: 36158540 PMCID: PMC9490224 DOI: 10.3389/fnagi.2022.978976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 08/22/2022] [Indexed: 11/23/2022] Open
Abstract
Freezing of gait (FOG) is a disabling gait disorder common in advanced stage of Parkinson’s disease (PD). The gait performance of PD-FOG patients is closely linked with visual processing. Here, we aimed to investigate the structural and functional change of visual network in PD-FOG patients. Seventy-eight PD patients (25 with FOG, 53 without FOG) and 29 healthy controls (HCs) were included. All the participants underwent structural 3D T1-weighted magnetic resonance imaging (MRI) and resting state functional MRI scan. Our results demonstrated a significant decrease of right superior occipital gyrus gray matter density in PD-FOG relative to non-FOG (NFOG) patients and healthy controls (PD-FOG vs. PD-NFOG: 0.33 ± 0.04 vs. 0.37 ± 0.05, p = 0.005; PD-FOG vs. HC: 0.37 ± 0.05 vs. 0.39 ± 0.06, p = 0.002). Functional MRI revealed a significant decrease of connectivity between right superior occipital gyrus and right paracentral lobule in PD-FOG compared to PD-NFOG (p = 0.045). In addition, the connectivity strength was positively correlated with gray matter density of right superior occipital gyrus (r = 0.471, p = 0.027) and negatively associated with freezing of gait questionnaire (FOGQ) score (r = -0.562, p = 0.004). Our study suggests that the structural and functional impairment of visual-motor network might underlie the neural mechanism of FOG in PD.
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Affiliation(s)
- Lu Gan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Lu Gan,
| | - Rui Yan
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dongning Su
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zhu Liu
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Guozhen Miao
- Maranatha High School, Pasadena, CA, United States
| | - Zhan Wang
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xuemei Wang
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Huizi Ma
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yutong Bai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Junhong Zhou
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Tao Feng
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Parkinson’s Disease Center, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China
- Tao Feng,
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Abstract
Studies conducted in healthy subjects have clearly shown that different hypnotic susceptibility, which is measured by scales, is associated with different functional equivalence between imagery and perception/action (FE), cortical excitability, and information processing. Of note, physiological differences among individuals with high (highs), medium (mediums), and low hypnotizability scores (lows) have been observed in the ordinary state of consciousness, thus independently from the induction of the hypnotic state, and in the absence of specific suggestions. The potential role of hypnotic assessment and its relevance to neurological diseases have not been fully explored. While current knowledge and therapies allow a better survival rate, there is a constant need to optimize rehabilitation treatments and quality of life. The aim of this paper is to provide an overview of hypnotizability-related features and, specifically, to discuss the hypothesis that the stronger FE, the different mode of information processing, and the greater proneness to control pain and the activity of the immune system observed in individuals with medium-to-high hypnotizability scores have potential applications to neurology. Current evidence of the outcome of treatments based on hypnotic induction and suggestions administration is not consistent, mainly owing to the small sample size in clinical trials and inadequate control groups. We propose that hypnotic assessment may be feasible in clinical routine and give additional cues into the treatment and rehabilitation of neurological diseases.
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Performance Index for in Home Assessment of Motion Abilities in Ataxia Telangiectasia: A Pilot Study. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12084093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Background. It has been shown in the very recent literature that human walking generates rhythmic motor patterns with hidden time harmonic structures that are represented (at the subject’s comfortable speed) by the occurrence of the golden ratio as the the ratio of the durations of specific walking gait subphases. Such harmonic proportions may be affected—partially or even totally destroyed—by several neurological and/or systemic disorders, thus drastically reducing the smooth, graceful, and melodic flow of movements and altering gait self-similarities. Aim. In this paper we aim at, preliminarily, showing the reliability of a technologically assisted methodology—performed with an easy to use wearable motion capture system—for the evaluation of motion abilities in Ataxia-Telangiectasia (AT), a rare infantile onset neurodegenerative disorder, whose typical neurological manifestations include progressive gait unbalance and the disturbance of motor coordination. Methods. Such an experimental methodology relies, for the first time, on the most recent accurate and objective outcome measures of gait recursivity and harmonicity and symmetry and double support subphase consistency, applied to three AT patients with different ranges of AT severity. Results. The quantification of the level of the distortions of harmonic temporal proportions is shown to include the qualitative evaluations of the three AT patients provided by clinicians. Conclusions. Easy to use wearable motion capture systems might be used to evaluate AT motion abilities through recursivity and harmonicity and symmetry (quantitative) outcome measures.
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Bardakan MM, Fink GR, Zapparoli L, Bottini G, Paulesu E, Weiss PH. Imaging the neural underpinnings of freezing of gait in Parkinson’s disease. NEUROIMAGE: CLINICAL 2022; 35:103123. [PMID: 35917720 PMCID: PMC9421505 DOI: 10.1016/j.nicl.2022.103123] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/09/2022] [Accepted: 07/20/2022] [Indexed: 11/04/2022] Open
Abstract
Review of recent (after 2012) imaging studies on Parkinsonian freezing of gait. Virtual reality studies report functional decoupling of cortico-striatal circuits. Motor imagery studies reveal increased recruitment of parieto-occipital regions. fNIRS studies converge on reporting higher activity within prefrontal regions. Imaging findings support pathophysiological models of freezing of gait.
Freezing of gait (FoG) is a paroxysmal and sporadic gait impairment that severely affects PD patients’ quality of life. This review summarizes current neuroimaging investigations that characterize the neural underpinnings of FoG in PD. The review presents and discusses the latest advances across multiple methodological domains that shed light on structural correlates, connectivity changes, and activation patterns associated with the different pathophysiological models of FoG in PD. Resting-state fMRI studies mainly report cortico-striatal decoupling and disruptions in connectivity along the dorsal stream of visuomotor processing, thus supporting the ‘interference’ and the ‘perceptual dysfunction’ models of FoG. Task-based MRI studies employing virtual reality and motor imagery paradigms reveal a disruption in functional connectivity between cortical and subcortical regions and an increased recruitment of parieto-occipital regions, thus corroborating the ‘interference’ and ‘perceptual dysfunction’ models of FoG. The main findings of fNIRS studies of actual gait primarily reveal increased recruitment of frontal areas during gait, supporting the ‘executive dysfunction’ model of FoG. Finally, we discuss how identifying the neural substrates of FoG may open new avenues to develop efficient treatment strategies.
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