Hi!

I graduated with a Neuroscience and Psychology BSc in 2016, and my final year project was a bench-lab in vitro study of omega-3 oils applied to fluorescently-stained cortical neurons. I realised that although I had a passion for neuroscience, my first foray into applied research was not promising; I hated the tedium of the process.

I then did an MSc in Mental Health Sciences, with my thesis originally using an EEG/MEG dataset on psychosis patients. Again, I loathed trying to learn (the tedium of) Matlab and learnt instead that I'm fundamentally not a coder.

I changed to studying the mid-term after-effects of a psychedelic drug using a battery of questionnaires. I loved this psychometric approach, and it was easy enough running simple statistical analyses. However this was firmly psychological, not neuroscience.

Now I'm doing a PhD largely employing thematic and other qualitative analyses of altered states, which I thoroughly enjoy. But again, I'm still attempting to retain some know-how in neuroscientific methods. I'm doing some basic secondary EEG analyses on the aperiodic signal - though not loving even the rudimentary coding necessary.

My question is what are some other neuroscience techniques available out there which I may be more suited to? Can one even be a 'neuroscientist' without having to use a wet-lab - or matlab?

Perhaps tDC or tMS? Could someone maybe elaborate on the types of questions that can be answered with these; or the analyses that are run after them?

Other than f/MRI, which I assume always require programming - do other neuroimaging modes e.g. PET/SPECT also require this?

I'd also be very interested to hear people's thoughts on/experience with working to incorporate as much understanding of neuroscientific findings in strictly psychology studies - While writing psychology papers, referring strongly to the neuro literature to inform and discuss the study's aims and findings?

Thank you very much,

I'd be really appreciative of any insight :)

Pascal

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