Robert Bilder, Ph.D., ABPP/CN |
The discipline of clinical neuropsychology is at a
cross-roads, confronting an array of options to redefine its parameters, and without
any option to turn back. The forces
propelling this shift have been brewing for decades. First, assessment of brain structure and
function for both clinical and research purposes continues to migrate to novel
technologies. Neuroimaging already has
displaced neuropsychology’s role in structural lesion localization, and now is
providing the lion’s share of new information about functional localization and
network mapping. Computerized
neuropsychological assessment continues to make steady inroads as evidenced by
the introduction of iPad systems for conventional testing, and the
proliferation of other products including computerized and Internet-based
assessment systems. Second, health care
reform is changing every facet of clinical service delivery in the United
States, and neuropsychology is among the services that may be most affected. Our professional societies, including notably
the Society for Clinical Neuropsychology (SCN; APA Division 40), have
inaugurated efforts to keep us up to date and help us navigate the shifting
sands of new systems that aim to manage health care costs, including accountable
care organizations. The Affordable Care
Act further mandated electronic medical records that are increasingly
facilitating the aggregation of medical test results and the evaluation of
health care expenses and allocation of services following evidence-based
models. Third, treatments are
increasingly being delivered by the lowest-cost providers, which are in some
cases electronic. It is hard to compete
with a computer if it can execute an assessment or administer a therapy, and
while currently available systems have their limitations, the day is coming
when humans will be more important in designing but probably not in
administering assessments and treatments.
What path should clinical neuropsychology follow to forge its own
future? Some answers include efforts,
already underway, to increase our shared evidence-bases and collaborate on a
grand scale (see Bilder, 2011). For other
answers we need to look further into the future.
I faced this challenge a few years ago when asked to speak
about the “Next Wave” in brain research, to a smart lay audience (see TEDx San
Diego talk here). I first thought the talk might cover
advances in genetics, genomics, and brain-related phenotyping, before realizing
that the allotted 12 minutes would be gone before I could finish defining the
word “phenotype.” I had just read Ray
Kurzweil’s book – “The Singularity is Near” – foretelling the implications of a
future in which nonbiological intelligence will supersede all biological
intelligence (if you are curious, Ray predicts this will happen in 2029, so
stay healthy to live forever in the post-singularity era). But what intrigued me the most was our
inevitable progress towards a point when we will know enough about how the
brain works to use it differently, and by design, enabling Personal Brain Management and entering the next stage of human
evolution (for more, see this). I started teaching courses in PBM at UCLA,
and then was lucky to be involved in our new Healthy Campus Initiative,
specifically to focus on how to enhance mind, brain, and spirit and promote
creative achievement among our students, staff, and faculty (see http://healthy.ucla.edu). As we have developed this initiative, I
increasingly have come to believe that there is enormous opportunity for our discipline
to pursue Positive Applied
Neuropsychology, and that this will be an important path for clinical
neuropsychology as we travel further into the 21st century. A recent volume defines positive
neuropsychology as a field that “… incorporates positive psychology principles
and aims to promote cognitive health through various means…” (Randolph, 2013). I believe an even broader definition may be
warranted, extending beyond cognitive health, to consider any method to
promote well-being that leverages knowledge about the brain.
How does Positive Applied Neuropsychology (PAN) differ from
the rest of positive psychology? A
strength and a weakness of positive psychology is that it does not
necessarily consider the brain mechanisms underlying beneficial effects of its
practices. The strength is that it is
not limited by current knowledge about the brain. It is absolutely reasonable to select
positive psychology treatments without knowing anything about the brain systems
that are involved. In contrast, a PAN intervention should be
informed by our understanding of the brain systems that mediate its effects, so
in theory PAN will lead to the design of treatments that would never have been
developed if we did not know about the relevant brain systems, and that may be
more specific and effective because we do know the relevant brain
mechanisms.
So what do we have today? Not much yet, reflecting the current relative
lack of detailed knowledge about the specific mechanisms of action in the brain
for any treatment of any disorder. Consider
for example, how little we know about the ultimate mechanisms of action of
antidepressant or antipsychotic drugs. But
this knowledge is burgeoning. Its rate
of growth is so fast, and interest is so strong, that there may well be many novel
practices available within the next decade.
Consider the growth of mindfulness meditation practices, a now classic
positive psychology intervention that has yielded substantial benefits to its
practitioners despite our ignorance of the brain systems that are involved in
its effects. But now we are learning how
mindfulness impacts both brain structure and function, and it is conceivable
that future tools will promote specific prescriptions for practices that either
more narrowly focus or diffusely broaden attention to achieve desired outcomes.
Perhaps such practices will be augmented by EEG neurofeedback using inexpensive
consumer-grade headsets, or transcranial direct current stimulators. It is now difficult to go on line (or even
turn on the TV) without seeing advertising for diverse “brain training”
systems. Cognitive exercise regimens that
focus on promoting neuroplastic changes within key brain systems may become as
routine as is training dedicated to muscle groups (and to this end, we have
opened at UCLA a new “brain gym” to help familiarize our university community
with the relevant tools). For us
“boomers” it appears this brain fitness market may have a long way to go before
it is saturated.
What is our role as members of the SCN in the next wave of positive
applied neuropsychology? First, our
unique training and expertise is required to determine what paths will be the
most fruitful for development. What
cognitive training procedures (if any) are truly effective? Do any of these procedures lead to
generalization? What evidence would be
necessary to support more widespread application of neurofeedback? Can we augment meditation practices to
enhance capacity for focused attention or anxiety-reducing broadening of
attention? Second, we must provide a
counterweight to the commercial forces that already are attempting to
capitalize on these ideas before they are proven. SCN
members need to provide well-informed opinions about the merits – and lack
thereof – of applications already in widespread use. Finally, we must champion consideration of
the ethical considerations that attend to this brave new world that involves
brain-altering practices. What do you
recommend to your baby-boomer patients who wonder if they should have personal
genetic testing to learn their APO-E genotype, get a positron emission
tomograph, or get neuropsychological testing to learn if they are “at increased
risk” for Alzheimer’s disease? How do we
help parents navigate the increasingly dizzying maze of choices being offered
for attentional problems (medication, neurofeedback, working memory exercises),
particularly for kids who do not
satisfy criteria for a syndrome like attention-deficit/hyperactivity
disorder? What are the components of a
regimen that supports long-term cognitive and emotional health? We all know this must go beyond “cognitive
exercise,” but exactly what components of physical, psychological, social,
emotional, and spiritual practices should we be recommending as practitioners
of the healthy brain sciences? These
questions already are prominent in many of our clinical practices and in the
coming years we can expect this emphasis to increase. The time is at hand for us to establish best
practices and to anticipate a future that will further blur the lines between
health optimization and clinical care. We
are in a unique position to advise the public and other stakeholders how to
harness new knowledge about the brain to help us advance the values we possess
as individuals and share as a society.
References
Bilder, R. M. (2011). Neuropsychology 3.0: Evidence-based science and
practice. Journal of the International Neuropsychology Society, 17(1), 7-13.
Bilder, R. M. (2010, Nov). Personal Brain Management, from TEDx
San Diego "The Next Wave." http://youtu.be/rG494qden64.
Bilder, R. M. (2012, July). Huffington Post Blog on Personal Brain
Management. http://www.huffingtonpost.com/robert-m-bilder-phd/personal-brain-management_b_1651308.html.
Randolph, J. J. (Ed.).
Positive neuropsychology: Evidence-based perspectives on promoting
cognitive health. 10.1007/978-1-4614-6605-5_2.
Springer Science+Business Media, New York, 2013. [quote from
location 146; Kindle edition].
"It is hard to compete with a computer if it can execute an assessment or administer a therapy, and while currently available systems have their limitations, the day is coming when humans will be more important in designing but probably not in administering assessments and treatments."
ReplyDeleteI will grant you the above but I have to wonder how the Ethics Code may be interpreted when we get to that day. 9.02(c) requires us to use assessment methods that are appropriate to an individual's language preference. If we remove the human interface altogether, and the assessment or therapy is administered entirely via electronic interaction, does this adhere to the spirit of the code?
What about 9.07 disallowing assessments by unqualified "persons". How does that apply to a computer? If it does, how do we qualify a computer? I assume that 9.06 still requires a live psychologist to interpret the results?
I recognize it may be somewhat different in the more technical specialities but we must not lose sight of our Principle B "to establish relationships of trust". No machine will ever be able to do that.
Just as with the rest of the field, so too will the APA Ethics code require revision to ensure that it addresses current and relevant clinical practices. The language issue (9.02c) is essentially irrelevant as digital assessments and interventions can be developed readily in any language.
DeleteIn regard to "qualifying a computer," I'm not sure if you're serious or not, but certainly trained and qualified professionals will be integrally involved in the assessment process, however, not in the same capacity as we are currently (i.e., clipboard in hand with pencil and paper at the ready for 4+ hours). Similarly, conducting an interview, interpreting results and providing feedback will all require carefully trained and well-qualified psychologists at the helm, and in many ways may require advanced training to be able to do so effectively. This also speaks directly to Principle B. The main premise is that technology needs to be integrated into neuropsychology, it is not, however, a replacement for the neuropsychologist.
The thing that concerns me the most is the underlying resistance to technological integration I see throughout the field. There are certainly individuals who embrace technology and are developing novel methods to leverage and employ digital resources, but this is not a widespread attitude (at least in my experience). The concerning part is that the technology is going to be developed and integrated into cognitive assessment and intervention whether we like it or not.
The question is, will neuropsychology be at the forefront or will we be left behind?
Indeed, let us not forget for a moment that the entire encounter - whether person-to-person or person-to-computer/automated assessment - encompasses an irreducible social psychological matrix in which one must, of necessity, be especially mindful of the affective components of the assessment process. Technology is certainly useful, but as neuropsychologists, we are dealing with a powerful clinically driven situation that still far outpaces what a largely computerized assessment can possibly achieve. How, for example, to deal with the emotional meltdown when a vocationally accomplished patient finds that they can no longer do what was previously taken for granted, as in, e.g., Digit Span, following a TBI? Too, the necessity of being able to assess not only the deficits but remaining strengths is, of course, critical, and conveying this in an understandable form to the patient and their family constitutes a valuable clinical skill that can't be reduced to a technician function. Still, this points to a something that has long been recognized in the substance abuse treatment community, and, to some degree, even within the neuropsychological community: recovery is not just about the individual, but the patient's family and social support system.
DeleteMindfulness, yes, by all means, but what does this actually entail with respect to 'healthy brain practices'? This begins to get into those concerns around that are evoked by cosmetic neurology and is a profoundly open issue.
A very worthwhile blog that opens the door to any number of significant and relevant issues for us all. Thanks.
Thanks so much for these comments! Yogi Berra is alleged to have said "prognostication is difficult, especially when it comes to the future!" I do believe current trends show technology moving in directions that are hard to imagine today, and it is an amazing thought exercise to ask "what are human functions that could NEVER be taken over by machines?" I think the answers are harder and harder to specify. To take perhaps the most extreme example, the boundaries between uniquely "human" relationships and the relationships that people develop with machines are becoming less clear. I personally do not support a "transhumanist" vision of the future, and in our courses on Personal Brain Management i have been highlighting the tension that exists between authors like Ray Kurzweil ("The Singularity is Near"; "How to Create a Mind") and Jaron Lanier ("You are Not a Gadget"; "Who Owns the Future"). One bottom line from Lanier, is that we should recognize that the technology offers tools, and what we do is up to us, not the tools.
DeleteMost of my work is with older adults and in my own small way have been trying to promote the notion of accessing and building on strengths rather than just identifying areas of weakness and telling people "what is wrong with them". I hasten to add that this is not specifically a comment on neuropsychologists, but rather an expectation of the patient and their family. In the area of dementia in particular, people of often more willing to accept the decline rather than work with what is still intact thereby having a positive impact on wellbeing of both the person with dementia and their caregiver(s).
ReplyDeleteWhile I agree that there can be resistance to technology and change more broadly, and certainly that the ethical codes and our quality of practice should continue to be of a high standard, I am much more interested and excited by some of the other content of Bob's final paragraph. As a snippet, from personal experience, I have seen the impact of being able to tell someone that yes, they do have a lot of areas of dysfunction due to their injury, but here is what we can work with, here's what you can achieve. There is some tendency to focus on cognitive aspects and not enough on emotional aspects. Positive neuropsychology at a very surface level seems to embrace both and I look forward to reading Randolph's book myself.
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