University of Iowa
Iowa City, Iowa, 52242, United States
NCT Number: NCT06984757
Abstract Cognitive symptoms of Parkinson's disease (PD) include deficits in attention, working memory, and reasoning. These deficits affect up to 80% of PD patients and lead to mild cognitive impairment (PD-MCI) and dementia in PD (PDD). There is a critical need to better understand cognitive impairment in PD to develop new targeted treatments. The long-term goal is to define the mechanisms of PD-related cognitive impairment. PD involves diverse processes such as dopamine and acetylcholine dysfunction, synuclein aggregation, and genetic factors. During the past funding period, the investigators linked PD-related cognitive impairment to dysfunction in frontal midline delta (1-4 Hz) and theta (5-7 Hz) rhythms, which the work has established as a marker of cognitive control. However, it is unknown why PD patients have deficits in these low-frequency brain rhythms. The preliminary magnetic resonance imaging (MEG) and magnetoencephalography (MRI) implicate the anterior midcingulate cortex (aMCC) as a potential source of frontal midline delta/theta rhythms. In the next funding period, the objective is to determine the mechanisms and predictive power of delta/theta rhythms in PD, which will help to better understand the pathophysiology of PD-related cognitive impairment. Collaboration between the University of New Mexico (UNM) and University of Iowa (UI) that will bring together MEG, MRI, longitudinal EEG, and adaptive subthalamic (STN) deep-brain stimulation (DBS). The investigators will test the overall hypothesis that frontal midline delta/theta dysfunction contributes to cognitive impairments in PD. In Aim 1, the investigators will determine the structural basis for delta/theta rhythm deficits in PD. In Aim 2, the investigators will determine the predictive power of delta/theta rhythm deficits in PD. In Aim 3, the investigators will determine how tuned low-frequency STN DBS impacts cortical activity and cognition. The results will have relevance for basic-science knowledge of the fundamental pathophysiology of cognitive impairment in PD and related dementias. Because this proposal will study patients with PDD, the findings are directly relevant to Alzheimer's-related dementias (ADRD).
Interested in participating?
Request Info18 year–99 year
All sexes
Interventional
Not applicable
Iowa City, Iowa, 52242, United States
Up to 80% of patients with Parkinson's disease (PD) will suffer from cognitive symptoms, including impaired attention, planning, reasoning, and working memory as well as hallucinations, visuospatial dysfunction, and delusions. These impairments lead to mild cognitive impairment (PD-MCI) and dementia (PDD) in PD. Cognitive symptoms of PD are associated with enormous costs to society. There are no clear biomarkers and few effective treatments for PD-MCI/PDD. Because risk for PD increases dramatically with age, this problem will surge as the population grows older. The mechanisms contributing to PD-MCI/PDD are unknown. The investigators have found that low-frequency (1-8 Hz; or delta/theta bands) brain rhythms might be helpful in diagnosing cognitive dysfunction in PD. This delta/theta activity originates from areas of medial frontal cortex, such as the anterior cingulate, and is detectable by mid-frontal scalp EEG electrodes. We have found that mid-frontal delta/theta brain rhythms are engaged when healthy individuals detect novelty, errors, and conflict, or make decisions. These rhythms are attenuated in PD patients. The working model is that PD patients manifest diverse neuronal and network deficits that impair mid-frontal delta/theta activity, leading to failures in engaging cognitive control. These abnormalities contribute to PD-MCI and PDD.
In this proposal, we combine 'big-data' machine learning tools and new brain-stimulation paradigms to investigate the role of mid-frontal delta/theta rhythms in PD. We will test the overall hypothesis that mid-frontal delta/theta impairments are a mechanism of cognitive dysfunction in PD. We will determine if mid-frontal delta/theta activity predicts PD-MCI/PDD and if subthalamic nucleus deep-brain stimulation (DBS) at delta/theta frequencies improves cognitive control in PD patients. Because these experiments involve EEG recordings across several PD patient populations and brain stimulation, each of these aims will provide independent mechanistic insight into cognitive dysfunction in PD. PD is a complex disease, but if cortical EEG abnormalities are a consistent theme, it might inspire new diagnostic tools or new brain-stimulation therapies for cognitive dysfunction in PD. Results from this proposal could also be important for other neurodegenerative diseases such as dementia with Lewy bodies and Alzheimer's disease.
The study will use TMS to temporarily and reversibly alter the activity of a specific node (brain area) of the wider brain network (specifically, the pre-supplementary motor, pre-motor area, and motor cortical regions), and measure the effects of this stimulation-related alteration on neural and behavioral measurements of motor and cognitive tasks. The brain stimulation methods use different protocols of TMS to evoke internally generated neural discharges through the use of focal magnetic fields.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
We will study individuals with idiopathic mild-moderate Parkinson's Disease. Diagnosis will be confirmed by Dr. Narayanan - a neurologist.
Inclusion criteria
GROUP 1: Parkinson's disease without cognitive impairment
GROUP 2: Parkinson's disease with mild cognitive impairment
GROUP 3: Parkinson's disease with dementia
GROUP 4: Parkinson's disease with STN-DBS 1) Parkinson's disease with functioning bilateral STN-DBS electrodes 2) under stable PD medication 3) able to walk independently, make their own decisions 4) age range = 18 - 89 years old 5) THIS GROUP WILL NOT UNDERGO TMS
GROUP 5: Parkinson's disease without DBS and with no seizure history for EEG-TMS study
GROUP 6: Essential tremor with VIM-DBS
GROUP 7: Parkinson's disease without DBS and with no seizure history for EEG-HD-tACS study 1) Parkinson's disease with MOCA 23-30 2) under stable PD medication 3) able to walk independently, make their own decisions 4) age range = 18 - 89 years old
Exclusion criteria
Patients with dementia with Lewy Bodies and Alzheimer's disease, drug-induced parkinsonism, Parkinson's-plus, on investigational drugs, with hearing loss will be excluded, or with color-blindness will be excluded. Subjects with a history of neuropsychiatric disorders, like Schizophrenia or Depression will be also be excluded.
For the TMS sub-study, PD patients with DBS leads will be excluded and any subject with a seizure disorder will also be excluded. For the HD-tACS sub-study, PD patients with DBS leads will be excluded and any subject with a seizure disorder will also be excluded.
Control Group: patients with Alzheimer's Disease (AD) and dementia with Lewy Bodies (DLB) A group of patients with AD and DLB will be recruited for the cognitive tasks to compare data with PD. Since AD is non-dopamine deficiency disease so they can serve as another control group for the study.
Inclusion criteria
Exclusion criteria
Control Group: patients with mTBI A group of patients with mTBI will be recruited for the cognitive tasks to compare data with PD.
Inclusion criteria
Exclusion criteria
Control Group: patients with 16pDel Autism A group of patients with 16pDel Autism will be recruited for the cognitive tasks to compare data with PD.
Inclusion criteria
Exclusion criteria
Control Group: patients with Brain Lesions A group of patients with Brain Lesions will be recruited for the cognitive tasks to compare data with PD.
Inclusion criteria
Exclusion criteria
Control Group: Older Normal Subjects A group of older healthy individuals will be matched with subjects with Parkinson's disease in terms of age, sex, and years of education. We will also recruit a small group of older healthy individuals specifically to pilot new behavioral tasks.
Inclusion criteria
Exclusion criteria
Control Group: Older Subjects with Mood Disorders A group of older individuals with Mood Disorders will be recruited to perform cognitive tasks to compare data with both PD with Mood Disorders and PD without Mood Disorders.
Inclusion criteria
Exclusion criteria
Control group: Healthy young and middle-aged adults
Control subjects' mothers
a neurosurgical procedure that uses implanted electrodes and electrical stimulation to treat movement disorders and certain neuropsychiatric conditions when medications are ineffective or cause significant side effects.
Transcranial magnetic stimulation (TMS) is a non-invasive treatment that uses magnetic fields to stimulate specific areas of the brain.
Transcranial Alternating Current Stimulation (tACS) is a non-invasive brain stimulation technique that uses weak, alternating electrical currents applied to the scalp to modulate brain activity and potentially influence cognitive processes by entraining brain oscillations.
Time frame: From enrollment to the end of treatment at Day 1
The investigators use a conventional repeated-measures ANOVA where the independent variable is PD/PD-MCI/PDD and the dependent variable is mid-frontal delta/theta activity (EEG physiological parameter).
Time frame: From enrollment to the end of treatment at Day 1
The investigators use a conventional repeated-measures ANOVA where the independent variable is the deep brain stimulation (DBS) setting and the dependent variable is mid-frontal delta/theta activity (EEG physiological parameter).
Nandakumar Narayanan
Other
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