Yes, but the Verma group, in the process of defending their work, reference things like differences in brain structure or grey/white volume in defence of their own argument of male/female differences. I don't think you can cite their work and then disclude factors that they believe relevant. I would state again, reliance on single papers is a deeply unsafe way to assess science, given that it can pretty much be guaranteed any paper will have shortcomings in methodology, analysis, or other factors, and Ingalhalikar et al (2014) is no exception. There is plenty of criticism which is important to be aware of.Ok oddly I've addressed this argument and I think even this paper before.
1) Dr Verma's research focuses specifically on synaptic connections between sections of the brain. So you can throw out the Gray matter arguments to begin with and the white matter ones. They're not relevant here to the argument their distributions isn't being questioned. Dr Verma's research was just measuring synaptic connections while the Pnas one is measuring matter distrubution.
From a scientific perspective, this criticism includes a lack of reference for how much difference there is compared to similarity between sexes, how much overlap there is between male and female sets, and causal link to behavioural differences; this has then led to scientific ethical criticisms that the claims of the authors far outstripped the ability of the work to support, which is particularly unfortunate for a study with significant societal implications.
Women and men necessarily evolved at exactly the same time and pace, because women cannot have procreated without men. Also, brain size is generally related to body size, and there is no intraspecies correlation between brain size and cognitive capabilities.2) While you can't be 100% sureidentifying a brain it's possible people back then could have had a try because female brains are generally smaller (Note: before people get mad, women evolved before men so are more adapted.
That anaology really doesn't work because women haven't had an extra few hundred thousand years of evolution to get more advanced brains like 60 years of technology has made computers more powerful in a smaller size.Smaller does not mean less powerful, remember your cellphone can do more than some old computers that used to fill rooms can do so it's about efficiency and so women's brains are likely more efficient)
There's actually an element of truth here, although more in interspecies comparisons. Size pressure can generate forms of efficiency: some animals subjected to evolutionary pressure to stay small often appear to have evolved more genes associated with synaptic signalling. This is theorised to be an alternative way of increasing complexity (thus processing power) where greater brain size is not feasible.
That's just horses for courses, not that a horse is inherently better. The technique is relevant to the data to be acquired.3) The Pnas one you linked to used standard MRI while I seem to remember Dr Verma's using a special kind of fluid resonance MRI system to give a more accurate picture.
Not really relevant per se.4) Dr Verma's research was original data sets using her own method while the Pnas one is existing standard MRI data sets.
Don't worry, I'm a neuroscientist. I'm pretty familiar with many aspects of brain lobe function, neuronal signalling and neuroimaging already.5) As far as present understanding goes particular areas of the brain light up for specific tasks and communication between those sectors make some tasks easier. Front lobes to back lobes = good for special awareness. Left set of Lobes to right set of lobes = good for emotional intelligence / interpreting emotions (Tests showing these differences are in the video I linked in the OP)
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