Will Saban, Berkeley University of California
Full Transcript:
Will:
Let me move this. Okay.
Will:
My name is Will. I’m a postdoc at Berkeley, and I will talk today about PONT, a protocol for online neuropsychological testing.
Will:
A little bit of an introduction. The literature is focused mainly on the cortex when we look condition domains of studies from attention to arithmetic to motor sequence learning. While the contribution of sub-cortical brain mechanisms to [inaudible 00:00:29] remain unclear, we see from Stanford the “corticocentric” neuroscience bias. Subcortical structures such as the basal ganglia, the cerebellum, the thalamus and more might also be involved in cognition.
Will:
And one solution to this problem is to do more studies involving patients with subcortical pathology.
Will:
Currently, I’m focusing on two subcortical regions. One is the cerebellum, using patients with spinocerebellar ataxia, SCA, and the other sub-cortical region is the basal ganglia, BG, using patients with Parkinson’s disease.
Will:
But we have another problem with this solution. We are dealing with a very limited resource. We are dealing with the patients themselves.
Will:
First, it’s very difficult to identify and recruit these individuals for projects. But let’s say you succeed to recruit them into your experiment. Their ability to participate in a research project is very restricted by their medical conditions, for example, their motor impairments. And as a result, if you will do a literature search, you will find papers with very small sample sizes, such as 6, 7, 8 participants. But not only that, it takes quite a bit of time to complete a single study, let alone a package of studies that might allow a more comprehensive story with the appropriate control participants.
Will:
Just the indication to show you how much the problem is serious. If you will do a PubMed search result and you will enter two key terms in PubMed, one is neuropsychological study, the other is fMRI studies, this is what you will get. So, Y axis is the count, the number of results. The X axis, the number of the year.
Will:
And you can see how many more results we get for fMRI compared to neuropsychological study. And I think the trend is also very clear.
Will:
To address is problems, in my first year in my post-doc, I’ve developed this protocol, a protocol for online neuropsychological testing. I like to call it PONT. Pont is a bridge in France, by the way.
Will:
And as a first step, I recruited a team of research assistants that helped me to build protocol.
Will:
And the PONT protocol involves five main steps.
Will:
Step number one, we reach out to support groups from all across the United States, from LA to New York. And we wrote an email to the group managers asking to transfer the information to the group members about the project. And step number two, each one of the group members reach out to us saying that they want to participate in our project. In step number three, each individual is doing an online neuropsychological assessment in which we assess medical conditions assessment, we assess motor abilities, cognitive abilities. It’s about a one hour session. And step number four, each individual is getting an email with a specific link and a specific ID. And they can do the experiment whenever they want. When they complete the experiment, we asked for some feedback and we paid them for the participation.
Will:
These are the five main steps of PONT.
Will:
In the first 10 months of the project, we were able to recruit about 420 participants for our database, 150 with Parkinson’s disease (PD), 150 SCA, spinocerebellar ataxia, and 120 control participants.
Will:
And the goal of the project was to do different experiments to assess both cognitive abilities and motor abilities. In using PONT, the idea is to assess different neural mechanisms in a wide range of abilities.
Will:
And now we’ll focus on the motor project.
Will:
So, this is a concrete example of a DSP task, a discrete segments production test, in which participants are asked to put their fingers on the keyboard, such that each finger is on the appropriate button as following. And then they need to execute the sequence as fast as possible.
Will:
A little bit of background about sequence learning. Most research has focused on the effect of memory on sequence execution, basically by comparing between repeating sequences to random sequences. And there is a lot of studies. Largely, they touch on the involvement of basal ganglia (BG) and cerebellum on sequence execution, though there is one caveat here as two studies by [Wattenberg 00:05:15] recently have suggested that the activity of the Parkinson’s disease literature is equivocal, meaning people saw mixed results. Sometimes people with Parkinson’s were unimpaired and sometimes not.
Will:
And as I see it, there is five main cycles involved in sequence execution. One is perception. You need visual ability to have visual pattern recognition of the digits. Then you need to create S‑R mapping, stimulus response. So, you need to create the form, the association between the digit and your motor response. Then you have memory abilities. You can retrieve previous instances of the sequence. Then you have other more general algorithm abilities, such as planning of the sequence. And, in the end, you need to have motor execution to execute the sequence.
Will:
And we asked two questions, two main questions.
Will:
One: is it possible to conduct relatively complex motor sequence learning tests online on patients with neurological disorders? It was not clear because this is the first project as far as we know that has tried to do this kind of complex texts online on patients. And second was a more theoretical question: what is the contribution of the basal ganglia and cerebellum to memory and algorithm processes involved with sequence execution?
Will:
And the method is the following.
Will:
They viewed the discrete sequence production test, the DSP test in whose participants need to execute four key buttons in a specific order using two hands, so eight fingers.
Will:
And we had two conditions. One is the repetition condition in which participants saw eight different sequences that repeat 24 times. In this condition, we’ll assess memory-based learning. In the other, the second condition is the no repetition condition in which participants saw 192 different sequences. And this condition was just more general algorithm based learning abilities. And the main dependent variable is the execution time, or what people call ET. And this is the time from the first key press to the release of the last key press.
Will:
This is a slide from the real test, so you can see the instruction. This is the way it looks for the participants. So, they see the sequence they need to execute and they got feedback if it’s correct or incorrect execution of the sequence.
Will:
And in about one month from the moment we started this experiment, we were able to collect data from 17 individual with spinocerebellar ataxia (SCA), 21 Parkinson’s disease and 20 control participants.
Will:
This is the data. The y‑axis is the ET, execution time of the sequence. The x‑axis the cycle of learning.
Will:
And I think you can see four main phenomena.
Will:
One, you can see both patients with the Parkinson disease and the SCA in general is slower than the control participants. And this is makes sense, right? Because they have motor impairments.
Will:
Another phenomena, you can see a nice learning curve. So, control participants are able to learn the sequences.
Will:
Third phenomena, you can see more benefits from learning in the repetition/blue condition compared to the no repetition/green condition. And this would make sense because in the repetitions, they have memory benefits.
Will:
And you can also see already in this figure that the ataxia, the SCA group, have serious learning impairments. They are not really able to learn this task.
Will:
I am mentioning the obvious here, because I think when someone is doing a new approach in doing patient studies online, it’s important to show a good sanity test. So the data makes sense. And I think this is quite convincing.
Will:
Afterwards, we wanted to assess the learning benefits. So, we calculated for each participant the slope for each individual, for each condition. The y‑axis is the slope, x‑axis their groups. You can see first that the SCA group in green has less learning benefits compared to the control in blue. And the Parkinson’s group in pink have less benefits only in the no repetition condition selectively.
Will:
We also wanted to exclude potential confounds. So, you can see that there is no execution time, ET, and RT, response time, for the first key press trade off. And there is no ET and accuracy trade off. But I think a nice feature of this figure is to see how much patient data we can collect using PONT.
Will:
So, just to summarize these results, the literature suggests strong evidence for impairments in the SCA group and the PD, the data show mixed results. And our added value theoretically is that indeed, SCA showed the classic impairment but also when we do the experiments online. And the PD impairment is selective and depends on the algorithm needed, maybe some kind of preparation processes.
Will:
I started with two main questions.
Will:
One, is it possible to conduct complex motor sequence learning tests on patients online. And the answer is definitely yes. Second, I asked, what is the contribution of the basal ganglia (BG) and cerebellum to memory and algorithm processes involved in sequence execution? And the answer is, PG is probably is involved in motor algorithm, maybe planning of sequences and cerebellum is involved in motor memory and algorithm processes of sequence learning.
Will:
I would like to look to end, to finish the presentation, with the advantages of PONT, this protocol. And I think the key term here is accessibility. Using PONT, we have much more access to patient populations. And I think it’s super important in the long run because it will allow first bigger sample size on patient population. Bigger sample size allows better representation of these populations. A lot of times, there’s bias in the literature.
Will:
Of course, it will allow also more studies, as in all online studies, which will allow better understanding of diseases such as Parkinson’s, but also better understanding of the brain, such as the cerebellum.
Will:
And I think a nice feature, at least from the feedback that we are getting from the participants, it’s quite engaging. It’s much more engaging for the participants from in-person studies. And in general, they’re enjoying doing the studies.
Will:
Thank you very much.
JP:
Awesome, Will. We have a specific question for you. Camila was asking, how long did it take for you to recruit your sample? And along with that, maybe you can talk about the methods you’re using to retain participation with these patients.
Will:
Sure.
Will:
Camila, first is, let’s say, now we are now one year and a half after I started at my postdoc, after I started this project. And now we have about 500 participants. After 10 months, we had 420 participants, 150 Parkinson’s disease, 150 SCA and 120 control. So, this is about the timeline of how much time it takes to recruit the participants using this approach.
Will:
And JP, your second question is… What is the second question? How to maintain the participants in our database?
JP:
Yeah. How do you retain participation with these patients or maintain a relationship with them?
Will:
Yeah.
Will:
First, we are doing the online neuropsychological assessments. So, I have a team of RAs, of research assistants, that are doing online video sessions with the participants. And I think the personal relations here are super important because once people feel more connected to the study and more connected to the lab, then they have more motivation to participate and do the studies. This is one way.
Will:
Another way, we are sending them out of time their results, if they’re interested, their individual results. And this way we’re connecting them over time. There is a more continuous relationship between us and the participants.
Will:
And I think in general, the patients are super motivated because they want to understand the disease. They want to learn about it. So, they want to contribute to studies that help to understand the underlying mechanisms of Parkinson or ataxia.
JP:
Great. And another question for you. Will, so there’s in-person assessments that require people to move so you can assess their movements and even maybe their reflexes. How were you able to adapt these clinical tests online?
Will:
This is a relatively big operation. It’s a very complicated operation.
Will:
To take, for example, we have done a medical questionnaire, which is relatively simple. But we also have the [MOCA 00:15:06] test, which assesses general and mild cognitive impairment. And we have also a motor assessment for Parkinson’s disease [inaudible 00:15:14] and ataxia are doing a [SAGA 00:15:18] test.
Will:
In this test, we needed to go item by item and see if we can do it online using the video camera. One of the tests for example, is the finger to nose test in which participants to put their finger and touch their nose. So, we needed to think how to do it. And in the end, for example, in the SAGA, we have done actually all the items online. And the results are exactly the same as the results that people have done in person, the average at least.
JP:
Awesome.