Neurology Center

How mature are you? Have you ever wanted to find out, with a 5 minute brain scan? Of course you have. And now you can, thanks to a new Science paper, Prediction of Individual Brain Maturity Using fMRI.

This is another clever application of the support vector machine (SVM) method, which I've written about previously, most recently regarding "the brain scan to diagnose autism". An SVM is a machine learning algorithm: give it a bunch of data, and it'll find patterns in it.

In this case, the input data was brain scans from children, teenagers and adults, and the corresponding ages of each brain. The pattern the SVM was asked to find was the relationship between age and some complex set of parameters about the brain.

The scan was resting state functional connectivity fMRI. This measures the degree to which different areas of the brain tend to activate or deactivate together while you're just lying there (hence "resting"). A high connectivity between two regions means that they're probably "talking to each other", although not necessarily directly.

It worked fairly well:

Out of 238 people aged 7 to 30, the SVM was able to "predict" age pretty nicely on the basis of the resting state scan. This graph shows chronological age against predicted brain age (or "fcMI" as they call it). The correlation is strong: r2=0.55.

The authors then tested it on two other large datasets: one was resting state, but conducted on a less powerful scanner (1.5T vs 3.0T) (n=195), and the other was not designed as a resting state scan at all, but did happen to include some resting state-like data (n=186). Despite the fact that these data were, therefore, very different to the original dataset, the SVM was able to predict age with r2 over 0.5 as well.

According to the BBC:

Koran protests sweep Afghanistan... Thousands of protesters have taken to the streets across Afghanistan... Three people were shot when a protest near a Nato base in the north-east of the country turned violent.

Young children with autism prefer looking at geometric patterns over looking at other people. At least, some of them do. That's according to a new study - Preference for Geometric Patterns Early in Life As a Risk Factor for Autism.

Pierce et al took 110 toddlers (age 14 to 42 months). Some of them had autism, some had "developmental delay" but not autism, and some were normally developing.

The kids were shown a one-minute video clip. One half of the screen showed some kids doing yoga, while the other was a set of ever-changing complex patterns. A bit like a screensaver or a kaleidoscope. Eye-tracking apparatus was used to determine which side of the screen each child was looking at.

What happened? Both the healthy control children, and the developmentally delayed children, showed a strong preference for the "social" stimuli - the yoga kids. However, the toddlers with an autism spectrum disorder showed a much wider range of preferences. 40% of them preferred the geometric patterns. Age wasn't a factor.

This makes intuitive sense because one of the classic features of autism is a fascination with moving shapes such as wheels, fans, and so on. The authors conclude that

A preference for geometric patterns early in life may be a novel and easily detectable early signature of infants and toddlers at risk for autism.

You're watching a horror movie.

The characters are going about their lives, blissfully unaware that something horrifying is about to happen. You the viewer know that things are going to end badly, though, because you know it's a horror movie.

Someone opens a closet - a bloody corpse could fall out! Or they're drinking a glass of water - which could be infected with a virus! Or they're talking to some guy - who's probably a serial killer! And so on.

The effect of this - and a good director can get a lot of mileage from it - is that scenes which would otherwise be entirely mundane, are experienced as scary, purely because you know that something scary is going to happen, so you see potential horror in every innocent little thing. An expectation as to what's going to happen, leads to you interpreting events in a certain way, and this creates certain emotions.

In a medical context, that would be called a placebo effect. Or a nocebo effect when expectations make people feel worse rather than better.

The horror movie analogy is useful, because it shows that placebo effects don't just happen to other people. We all like to think that if we were given a placebo treatment, we wouldn't be fooled. Unlike all those silly, suggestible, placebo responders, we'd stay as sick as ever until we got a proper cure.

I wouldn't be so sure. We're always interpreting the world around us, and interpreting our own thoughts and feelings, on the basis of our expectations and beliefs about what's going on. We don't suddenly stop doing this when it comes to health.

Suppose you have the flu. You feel terrible, and you're out of aspirin. You don't think you'll be able to make that meeting this afternoon, so you phone in sick.

Now, clearly, flu is a real disease, and it really does make you feel ill. But how do you know that you wouldn't be able to handle the meeting? Unless you have an extensive history of getting the flu in all its various forms, this is an interpretation, a best guess as to what you'll feel in the future, and it might be too pessimistic.

Maybe, if you tried, you'd get on OK. Maybe if you had some aspirin that would reassure you enough to give it a go. And just maybe it would still have worked even if those "aspirins" were just sugar pills...

Link: See my previous posts I Feel X, Therefore Y and How Blind is Double Blind?

Almost everyone is pretty screwed up. That's not my opinion, that's official - according to a new paper in the latest British Journal of Psychiatry.

Make sure you're sitting down for this. No less than 48% of the population have "personality difficulties", and on top of that 21% have a full blown "personality disorder", and another 7% have it even worse with "complex" or "severe" personality disorders.

That's quite a lot of people. Indeed it only leaves an elite 22.5% with no personality disturbances whatsoever. You're as likely to have a "simple PD" as you are to have a normal personality, and fully half the population fall into the "difficulties" category.

I have difficulties with this.

Where do these results come from? The Adult Psychiatric Morbidity Survey, which is a government study of the British population. They phoned up a random sample of several thousand people, and gave them the SCID interview, in other words they asked them questions. 116 questions in fact.

48% of people answered "yes" to enough questions such that, according to their criteria, they had "personality difficulties". They defined "personality difficulties", which is not a term in common use, as being "one criterion less than the threshold for personality disorder (PD)" according to DSM-IV criteria.

So what? Well, as far as I'm concerned, that means simply that "personality difficulties" is a crap category, which labels normality as pathological. I can tell that most of people with "difficulties" are in fact normal because they are the literally the norm. It's not rocket science.

So we can conclude that "personality difficulties" should either be scrapped or renamed "normal". In which case the weird minority of people without any such features should be relabelled. Maybe they are best known as "saints", or "Übermenschen", or perhaps "people who lie on questionnaires".

This, however, is not what the authors say. They defend their category of Personality Difficulties on the grounds that this group are slightly more likely to have a history of "issues" than the elite 22.5 percent, e.g. homelessness (3.0% vs. 1.6%), 'financial crisis' (10.1% vs. 6.8%), or having had treatment for mental illness (11% vs 6%).

They say:

This is the question asked by Tilman Steinert & Martin Jandl in a letter to the journal Psychopharmacology.

They point out that in the past 20 years, the word "antipsychotic" has exploded in popularity. Less than 100 academic papers were published with that word in the title in 1990, but now it's over 600 per year.

The older term for the same drugs was "neuroleptics". This terminology, however, has slowly but surely fallen into disuse over the same time period.

To illustrate this they have a nice graph of PubMed hits. Neuroskeptic readers will be familiar with these as I have often posted my own and I recently wrote a bash script to harvest this data automatically. Now you too can be a historian of medicine from the comfort of your own home...

Why does it matter what we call them? A name is just a name, right? No, that's the problem. Actually, neuroleptic is just a name, because it doesn't mean anything. The term derives from the Greek "neuron", meaning... neuron, and "lambanō" meaning "to take hold of". However, no-one knows that unless they look it up on Wikipedia because it's just a name.

Antipsychotic, on the other hand, means something: it means they treat psychosis. But whether or not this is an accurate description of what "antipsychotics" actually do, is controversial. For one thing, these drugs are also used to treat many non-psychotic illnesses, like depression, and PTSD.

More fundamentally, it's not universally accepted that they have a direct anti-psychotic effect. All antipsychotics are powerful sedatives. There's a school of thought that says that this is in fact all they are, and rather than treating psychosis, they just sedate people until they stop being obviously psychotic.

Personally, I don't believe that, but that's not really the point: the point is that it's controversial, and calling them antipsychotics makes it hard to think about that controversy in a sensible way. To say that antipsychotics aren't actually antipsychotic is a contradiction in terms. To say they are antipsychotic is a tautology. Names shouldn't dictate the terms of a debate in that way. A name should just be a name.

The same point applies to more than just antipsychotics - I mean neuroleptics - of course. Perhaps the worst example is "antidepressants". Prozac, for example, is called an antidepressant. Implying that it treats depression.

But according to clinical trials, Prozac and other SSRIs are a lot more effective, relative to placebo, in obsessive-compulsive disorders (OCD) than they are in depression (though this is not necessarily true of all "antidepressants", yet more evidence that the word is unhelpful.)

So, as I asked in a previous post: "Are SSRIs actually antiobsessives that happen to be helpful in some cases of depression?" Personally, I think the only name for them which doesn't make any questionable assumptions, is simply 'SSRIs'.

Tilman Steinert and Martin Jandl (2010). Are antipsychotics antipsychotics? Psychopharmacology DOI: 10.1007/s00213-010-1927-3

The dust is starting to settle after the Hauser-gate scandal which rocked psychology a couple of weeks back.

Harvard Professor Marc Hauser has been investigated by a faculty committee and the verdict was released on the 20th August: Hauser was "found solely responsible... for eight instances of scientific misconduct." He's taking a year's "leave", his future uncertain.

Unfortunately, there has been no official news on what exactly the misconduct was, and how much of Hauser's work is suspect. According to Harvard, only three publications were affected: a 2002 paper in Cognition, which has been retracted; a 2007 paper which has been "corrected" (see below), and another 2007 Science paper, which is still under discussion.

But what happened? Cognition editor Gerry Altmann writes that he was given access to some of the Harvard internal investigation. He concludes that Hauser simply invented some of the crucial data in the retracted 2002 paper.

Essentially, some monkeys were supposed to have been tested on two conditions, X and Y, and their responses were videotaped. The difference in the monkey's behaviour between the two conditions was the scientifically interesting outcome.

In fact, the videos of the experiment showed them being tested only on condition X. There was no video evidence that condition Y was even tested. The "data" from condition Y, and by extension the differences, were, apparently, simply made up.

If this is true, it is, in Altmann's words, "the worst form of academic misconduct." As he says, it's not quite a smoking gun: maybe tapes of Y did exist, but they got lost somehow. However, this seems implausible. If so, Hauser would presumably have told Harvard so in his defence. Yet they found him guilty - and Hauser retracted the paper.

So it seems that either Hauser never tested the monkeys on condition B at all, and just made up the data, or he did test them, saw that they weren't behaving the "right" way, deleted the videos... and just made up the data. Either way it's fraud.

Was this a one-off? The Cognition paper is the only one that's been retracted. But another 2007 paper was "replicated", with Hauser & a colleague recently writing:

In the original [2007] study by Hauser et al., we reported videotaped experiments on action perception with free ranging rhesus macaques living on the island of Cayo Santiago, Puerto Rico. It has been discovered that the video records and field notes collected by the researcher who performed the experiments (D. Glynn) are incomplete for two of the conditions.

Glynn was not an author on the only paper which has actually been retracted [the Cognition 2002 paper that Altmann refers to]... according to his resume, he didn't arrive in Hauser's lab until 2005.